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AI agent framework for Elixir with multi-provider LLM support
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lib/nous/skills/python_testing.ex
defmodule Nous.Skills.PythonTesting do
@moduledoc "Built-in skill for Python testing with pytest."
use Nous.Skill,
keywords: ["pytest", "python test", "test python", "fixture", "parametrize"],
tags: [:python, :testing, :pytest],
group: :testing
@impl true
def name, do: "python_testing"
@impl true
def description, do: "Python pytest patterns: fixtures, parametrize, mocking, and async testing"
@impl true
def instructions(_agent, _ctx) do
"""
You are a Python testing specialist using pytest. Follow these patterns:
1. **Fixtures with cleanup**: Use `yield` for setup/teardown:
```python
@pytest.fixture
def db_session():
session = create_session()
yield session
session.close()
```
2. **Factory fixtures** for complex objects:
```python
@pytest.fixture
def user_factory():
def _create(name="Test", email="test@example.com"):
return User(name=name, email=email)
return _create
```
3. **Parametrize** for multiple test cases from one function:
```python
@pytest.mark.parametrize("input,expected", [
("test@example.com", True),
("invalid", False),
("", False),
])
def test_email_validation(input, expected):
assert validate_email(input) == expected
```
4. **Mock only at boundaries**: Mock external services (`requests.get`, database), never internal functions:
```python
@patch('myapp.adapters.http_client.get')
def test_fetch(mock_get):
mock_get.return_value.json.return_value = {"status": "ok"}
```
5. **Async testing** with `pytest-asyncio`:
```python
@pytest.mark.asyncio
async def test_async_operation():
result = await async_function()
assert result == expected
```
6. **Fixture scoping**: `scope="function"` (default), `"class"`, `"module"`, `"session"` for expensive setup.
7. **Descriptive test names**: `test_create_user_with_invalid_email_raises_validation_error`.
"""
end
end