MLOpsPython/.pipelines/diabetes_regression-publish-model-artifact-template.yml at master · EdiFirst/MLOpsPython

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# Pipeline template to check if a model was registered for the build and publishes an artifact with the model JSON

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

inputs:

azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'

scriptLocation: inlineScript

workingDirectory: $(Build.SourcesDirectory)

inlineScript: |

set -e # fail on error

# Get the model using the build ID tag

FOUND_MODEL=$(az ml model list -g $(RESOURCE_GROUP) --workspace-name $(WORKSPACE_NAME) --tag BuildId=$(Build.BuildId) --query '[0]')

# If the variable is empty, print and fail

[[ -z "$FOUND_MODEL" ]] && { echo "Model was not registered for this run." ; exit 1; }

# Write to a file

echo $FOUND_MODEL >model.json

name: 'getversion'

displayName: "Determine if evaluation succeeded and new model is registered (CLI)"

- publish: model.json

artifact: model