Run dvc.yaml pipeline #5

	name: Deploy Model (Template)

	on:
	# the workflow is triggered whenever a tag is pushed to the repository
	push:
	tags:
	- "*"
	jobs:

	# This job parses the git tag with the GTO GitHub Action to identify model registry actions
	parse:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v3
	- name: "Parse GTO tag"
	id: gto
	uses: iterative/gto-action@v2
	outputs:
	event: ${{ steps.gto.outputs.event }}
	name: ${{ steps.gto.outputs.name }}
	stage: ${{ steps.gto.outputs.stage }}
	version: ${{ steps.gto.outputs.version }}

	deploy-model:
	needs: parse
	# using the outputs from the "parse" job, we run this job only for actions
	# in the model registry and only when the model was assigned to a stage called "prod"
	if: ${{ needs.parse.outputs.event == 'assignment' && needs.parse.outputs.stage == 'prod' }}
	runs-on: ubuntu-latest
	steps:
	- uses: iterative/setup-dvc@v1
	# this step uses DVC to download the model from our remote repository and deploys the model
	# Model deployment is mocked here as it is specific to each deployment environment
	# The DVC Studio token is used to avoid having to store specific remote storage credentials on GitHub
	- name: Get Model For Deployment
	run: \|
	dvc config --global studio.token ${{ secrets.DVC_STUDIO_TOKEN }}
	dvc artifacts get ${{ github.server_url }}/${{ github.repository }} ${{ needs.parse.outputs.name }} --rev ${{ needs.parse.outputs.version }}
	echo "The right model is available and you can use the rest of this command to deploy it. Good job!"

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