Update #17

	name: Format and lint the code and run unit and integration tests
	on:
	workflow_dispatch:
	pull_request:
	paths:
	- 'mlops_demo/**'
	- '.github/workflows/mlops_demo-run-tests.yml'

	defaults:
	run:
	working-directory: ./mlops_demo/

	env:
	DATABRICKS_TOKEN: ${{ secrets.STAGING_WORKSPACE_TOKEN }}

	concurrency: mlops_demo-feature-training-integration-test-staging

	jobs:
	fmt:
	runs-on: ubuntu-latest
	steps:
	- name: Checkout
	uses: actions/[email protected]

	- name: Format all files
	run: make dev fmt

	- name: Fail on differences
	run: git diff --exit-code

	unit_tests:
	needs: fmt
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- uses: actions/setup-python@v5
	with:
	python-version: 3.10.12
	cache: 'pip'
	cache-dependency-path: '**/pyproject.toml'
	- name: Run unit tests
	run: \|
	pip install hatch==1.9.4
	make test

	integration_test:
	needs: unit_tests
	runs-on: ubuntu-latest
	steps:
	- name: Checkout repo
	uses: actions/checkout@v4
	- uses: databricks/[email protected]
	- name: Validate Bundle For Test Deployment Target in Staging Workspace
	id: validate
	run: \|
	databricks bundle validate -t ci
	- name: Deploy Bundle to Test Deployment Target in Staging Workspace
	id: deploy
	run: \|
	databricks bundle deploy -t ci
	- name: Run Feature Engineering Workflow for Test Deployment Target in Staging Workspace
	id: feature_engineering
	run: \|
	databricks bundle run write_feature_table_job -t ci
	- name: Run Training Workflow for Test Deployment Target in Staging Workspace
	id: training
	run: \|
	databricks bundle run model_training_job -t ci

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