diabetes_regression-package-model-template.yml

# Pipeline template that creates a model package and adds the package location to the environment for subsequent tasks to use.
parameters:
- name: modelId
  type: string
  default: ''
- name: scoringScriptPath
  type: string
  default: ''
- name: condaFilePath
  type: string
  default: ''

steps:
  - task: AzureCLI@1
    displayName: 'Install AzureML CLI'
    inputs:
      azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
      scriptLocation: inlineScript
      workingDirectory: $(Build.SourcesDirectory)
      inlineScript: 'az extension add --source https://azurecliext.blob.core.windows.net/release/azure_cli_ml-1.27.0-py3-none-any.whl --yes'
  - task: AzureCLI@1
    displayName: 'Create model package and set IMAGE_LOCATION variable'
    inputs:
      azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
      scriptLocation: inlineScript
      inlineScript: |
        set -e # fail on error

        # Create model package using CLI
        az ml model package --workspace-name $(WORKSPACE_NAME) -g $(RESOURCE_GROUP) \
        --model '${{ parameters.modelId }}' \
        --entry-script '${{ parameters.scoringScriptPath }}' \
        --cf '${{ parameters.condaFilePath }}' \
        -v \
        --rt python --query 'location' -o tsv > image_logs.txt

        # Show logs
        cat image_logs.txt

        # Set environment variable using the last line of logs that has the package location
        IMAGE_LOCATION=$(tail -n 1 image_logs.txt)
        echo "##vso[task.setvariable variable=IMAGE_LOCATION]$IMAGE_LOCATION"