MLFlow: Deploy #42

	name: "MLFlow: Deploy"

	on:
	workflow_dispatch:
	inputs:
	machine:
	description: 'Which machine to use'
	required: true
	default: 'mlflow'
	type: choice
	options:
	- mlflow
	- local

	jobs:
	deploy-mlflow:
	name: Deploy MLFlow
	timeout-minutes: 9999999999999999999 # hopefully, never
	runs-on: ${{ inputs.machine }}
	container:
	image: ghcr.io/mlflow/mlflow:v2.11.1
	ports:
	- 8000:8000
	env:
	MLFLOW_AUTH_CONFIG_PATH: "${{ github.workspace }}/auth.ini"
	MLFLOW_HOST: 0.0.0.0
	MLFLOW_PORT: 8000
	MLFLOW_WORKERS: 2
	MLFLOW_BACKEND_STORE_URI: ${{ secrets.DB_URI }}

	steps:
	- run: pip install psycopg2-binary # required for mlflow to talk to postgres
	# - run: pip install boto3
	# - run: pip install mlflow==2.11.1
	- uses: "DamianReeves/write-file-action@master"
	with:
	path: "${{ github.workspace }}/auth.ini"
	write-mode: overwrite
	contents: \|
	[mlflow]
	admin_username = ${{ secrets.MLFLOW_USERNAME }}
	admin_password = ${{ secrets.MLFLOW_PASSWORD }}
	default_permission = READ
	database_uri = sqlite:///sqlite.db

	- name: Run MLFlow server
	run: python -m mlflow server --app-name basic-auth

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