feat(claims): include ML score in audit export payload #134

	# path: .github/workflows/ci.yml
	name: ci

	on:
	pull_request:
	push:
	branches: ["main"]

	jobs:
	test:
	runs-on: ubuntu-latest

	services:
	postgres:
	image: postgres:16-alpine
	env:
	POSTGRES_DB: policylens
	POSTGRES_USER: policylens
	POSTGRES_PASSWORD: policylens
	ports:
	- 5432:5432
	options: >-
	--health-cmd="pg_isready -U policylens -d policylens"
	--health-interval=5s
	--health-timeout=3s
	--health-retries=20

	env:
	DJANGO_DEBUG: "0"
	DJANGO_SECRET_KEY: "ci-secret-key"
	DJANGO_ALLOWED_HOSTS: "localhost,127.0.0.1"
	DATABASE_URL: "postgresql://policylens:policylens@localhost:5432/policylens"

	steps:
	- uses: actions/checkout@v4

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: "3.11"

	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt -r requirements-dev.txt

	- name: Format check (black)
	run: \|
	python -m black . --check

	- name: Lint (ruff)
	run: \|
	python -m ruff check .

	- name: Migrate
	run: \|
	python manage.py migrate --noinput

	- name: Run tests
	run: \|
	pytest -q --cov=policylens --cov-report=term-missing --cov-report=xml

	- name: Upload coverage to Codecov
	uses: codecov/codecov-action@v4
	with:
	files: ./coverage.xml
	flags: unittests
	fail_ci_if_error: true
	token: ${{ secrets.CODECOV_TOKEN }}

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