test LLM output for semantic similarity using vector embeddings #216

	name: Python Tests

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

	jobs:
	unit_tests:
	name: Unit Tests
	runs-on: ubuntu-latest
	env:
	PYTHONUNBUFFERED: 1

	steps:
	- uses: actions/checkout@v4

	- name: Install uv
	uses: astral-sh/setup-uv@v5
	with:
	enable-cache: true
	prune-cache: false

	- name: "Set up Python"
	uses: actions/setup-python@v5
	with:
	python-version-file: "pyproject.toml"

	- name: Install the project
	run: uv sync --all-extras --dev

	- name: Run unit tests
	run: >
	uv run pytest
	--timeout=10
	--color=yes
	--verbose --verbosity=10 --capture=no --tb=native --showlocals

	- name: Type check Python code
	run: uv run mypy src

	- name: Run ruff linter and formatter
	run: \|
	uv run ruff check src tests examples
	uv run ruff format src tests examples

	- name: Check package build
	run: uv build --verbose

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