deploy_model.yml

name: Model deployment

on:
  repository_dispatch:
    types: [machinelearningservices-runcompleted]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - name: Check variables
        env:
          PAYLOAD_CONTEXT: ${{ toJson(github.event.client_payload.data) }}
        run: |
          if [ -z "${{ github.event.client_payload.data.experimentName }}"]; then echo "experiment id is NULL"; exit 1; else echo "model_name is ${{ toJson(github.event.client_payload.data.experimentName) }}"; fi;
          if [ -z "${{ github.event.client_payload.data.runId }}"]; then echo "runId is NULL"; exit 1; else echo "model_version is ${{ toJson(github.event.client_payload.data.runId) }}"; fi;
      # # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
      - name: Check Out Repository
        id: checkout_repository
        uses: actions/checkout@v2
    
      - name: Connect/Create Azure Machine Learning Workspace
        id: aml_workspace
        uses: Azure/aml-workspace@v1
        with:
            azure_credentials: ${{ secrets.AZURE_CREDENTIALS }}
            
      - uses: Azure/aml-compute@v1
        id: aml_compute
        with:
          azure_credentials: ${{ secrets.AZURE_CREDENTIALS }}
          
      # # Register model in Azure Machine Learning model registry
      - name: Register model
        id: aml_registermodel
        uses: Azure/aml-registermodel@ashishonce/adddefaulttags
        with:
             azure_credentials: ${{ secrets.AZURE_CREDENTIALS }}
             run_id:  ${{ github.event.client_payload.data.runId }}
             experiment_name: ${{ github.event.client_payload.data.experimentName }}

      # Deploy your model to dev (this is optional)
      - name: Dev Deploy
        id: aml_dev_deploy
        uses: Azure/aml-deploy@v1
        with:
            azure_credentials: ${{ secrets.AZURE_CREDENTIALS }}
            model_name:  "${{ steps.aml_registermodel.outputs.model_name }}"
            model_version: "${{ steps.aml_registermodel.outputs.model_version }}"
            parameters_file: "deploy_aci.json"
      
      - name: Display Aci Deploy Details
        run: |
          echo scoring-endpoint: ${{ steps.aml_dev_deploy.outputs.service_scoring_uri}}
          echo swagger-uri: ${{ steps.aml_dev_deploy.outputs.service_swagger_uri}}

       # Deploy your model to production
      - name: Prod Deploy
        id: aml_prod_deploy
        uses: Azure/aml-deploy@v1
        with:
           azure_credentials: ${{ secrets.AZURE_CREDENTIALS }}
           model_name:  "${{ steps.aml_registermodel.outputs.model_name }}"  
           model_version: "${{ steps.aml_registermodel.outputs.model_version }}"
           parameters_file: "deploy_aks.json"

      - name: Display AKS Deploy Details
        run: |
           echo scoring-endpoint: ${{ steps.aml_prod_deploy.outputs.service_scoring_uri}}
           echo swagger-uri: ${{ steps.aml_prod_deploy.outputs.service_swagger_uri}}