Add AML Reference Implementation #2

	name: Azure ML Deployment
	on:
	push:
	branches:
	- main
	paths:
	- ".github/workflows/**"
	- "code/ml/**"
	- "infra/**"

	pull_request:
	branches:
	- main
	paths:
	- ".github/workflows/**"
	- "code/ml/**"
	- "infra/**"

	release:
	types: [published]

	jobs:
	aml_training_dev:
	uses: ./.github/workflows/_amlTrainTemplate.yml
	name: "Training - Dev"
	if: github.event_name == 'push'
	with:
	environment: "dev"
	secrets:
	CLIENT_ID: ${{ secrets.CLIENT_ID }}
	CLIENT_SECRET: ${{ secrets.CLIENT_SECRET }}

	aml_deploy_dev:
	uses: ./.github/workflows/_amlDeployTemplate.yml
	name: "Deploy - Dev"
	needs: [aml_training_dev]
	if: github.event_name == 'push'
	with:
	environment: "dev"
	machine_learning_online_endpoint_name: ${{ needs.infra_deployment_dev.outputs.machine_learning_online_endpoint_name }}
	secrets:
	CLIENT_ID: ${{ secrets.CLIENT_ID }}
	CLIENT_SECRET: ${{ secrets.CLIENT_SECRET }}

	# aml_model_promotion_dev_to_prd:
	# uses: ./.github/workflows/_amlModelPromotionTemplate.yml
	# name: "Model Promotion - Dev to Prod"
	# needs: [aml_training_dev]
	# if: github.event_name == 'push'
	# with:
	# environment_source: "dev"
	# environment_destination: "prd"
	# machine_learning_job_name: ${{ needs.aml_training_dev.outputs.machine_learning_job_name }}
	# machine_learning_job_output_name: best_model
	# secrets:
	# CLIENT_ID: ${{ secrets.CLIENT_ID }}
	# CLIENT_SECRET: ${{ secrets.CLIENT_SECRET }}

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