06-deploy-model.yml

name: Deploy latest model on PRs to main

on:
  pull_request:
    branches:
      - main

jobs:
  dev-model:
    runs-on: ubuntu-latest
    steps:
      - name: Check out repo
        uses: actions/checkout@main
      - name: Install az ml extension
        run: az extension add -n ml -y
      - name: Azure login
        uses: azure/login@v1
        with:
          creds: ${{secrets.AZURE_CREDENTIALS}}
      - name: Set default workspace and resource group
        run: az configure --defaults group=rg-redi-dev workspace=amlws-redi-dev
      - name: Submit dev training job
        run: az ml job create -f src/job.yml --stream
  prod-model:
    runs-on: ubuntu-latest
    needs: dev-model
    steps:
      - name: Check out repo
        uses: actions/checkout@main
      - name: Install az ml extension
        run: az extension add -n ml -y
      - name: Azure login
        uses: azure/login@v1
        with:
          creds: ${{secrets.AZURE_CREDENTIALS}}
      - name: Set default workspace and resource group
        run: az configure --defaults group=rg-redi-dev workspace=amlws-redi-dev
      - name: Submit prod training job
        run: az ml job create -f src/job.yml --set inputs.training_data.path=../production/data --set experiment_name=mslearn-mlops-tutorial-experiment-prod
  register-model:
    runs-on: ubuntu-latest
    needs: prod-model
    steps:
      - name: Check out repo
        uses: actions/checkout@main
      - name: Install az ml extension
        run: az extension add -n ml -y
      - name: Azure login
        uses: azure/login@v1
        with:
          creds: ${{secrets.AZURE_CREDENTIALS}}
      - name: Set default workspace and resource group
        run: az configure --defaults group=rg-redi-dev workspace=amlws-redi-dev
      - name: Get name of last successful job
        run: echo "LAST_SUCCESSFUL_JOB=$(az ml job list --output tsv --query "[?experiment_name=='mslearn-mlops-tutorial-experiment-prod' && status=='Completed'].name | [0]")" >> "$GITHUB_ENV"
      - name: Register model
        run: az ml model create --name mslearn-mlops-tutorial --type mlflow_model --path azureml://jobs/${{env.LAST_SUCCESSFUL_JOB}}/outputs/artifacts/paths/model/
  # create-endpoint:
  #   runs-on: ubuntu-latest
  #   steps:
  #     - name: Check out repo
  #       uses: actions/checkout@main
  #     - name: Install az ml extension
  #       run: az extension add -n ml -y
  #     - name: Azure login
  #       uses: azure/login@v1
  #       with:
  #         creds: ${{secrets.AZURE_CREDENTIALS}}
  #     - name: Set default workspace and resource group
  #       run: az configure --defaults group=rg-redi-dev workspace=amlws-redi-dev
  #     - name: Create endpoint if doesn't exist
  #       run: |
  #         ENDPOINT_EXISTS=$(az ml online-endpoint list -o tsv --query "[?name=='mslearn-mlops-tutorial-endpoint'][name]" | wc -l)
  #         if [[ ENDPOINT_EXISTS -ne 1 ]]; then
  #           az ml online-endpoint create -f ./src/endpoint.yml
  #         else
  #           echo "Endpoint exists already"
  #         fi
  deploy-model:
    runs-on: ubuntu-latest
    needs: register-model
    steps:
      - name: Check out repo
        uses: actions/checkout@main
      - name: Install az ml extension
        run: az extension add -n ml -y
      - name: Azure login
        uses: azure/login@v1
        with:
          creds: ${{secrets.AZURE_CREDENTIALS}}
      - name: Set default workspace and resource group
        run: az configure --defaults group=rg-redi-dev workspace=amlws-redi-dev
      - name: Deploy latest model
        run: az ml online-deployment update -f ./src/deployment.yml
  test-endpoint:
    runs-on: ubuntu-latest
    needs: deploy-model
    steps:
      - name: Check out repo
        uses: actions/checkout@main
      - name: Install az ml extension
        run: az extension add -n ml -y
      - name: Azure login
        uses: azure/login@v1
        with:
          creds: ${{secrets.AZURE_CREDENTIALS}}
      - name: Set default workspace and resource group
        run: az configure --defaults group=rg-redi-dev workspace=amlws-redi-dev
      - name: Test latest model
        run: az ml online-endpoint invoke -n mslearn-mlops-tutorial-endpoint --request-file ./src/sample-data.json