home / skills / gentleman-programming / gentleman.dots / pytest
This skill helps you write robust Python tests with pytest by guiding fixtures, mocking, parametrization, and markers.
npx playbooks add skill gentleman-programming/gentleman.dots --skill pytestReview the files below or copy the command above to add this skill to your agents.
---
name: pytest
description: >
Pytest testing patterns for Python.
Trigger: When writing Python tests - fixtures, mocking, markers.
license: Apache-2.0
metadata:
author: gentleman-programming
version: "1.0"
---
## Basic Test Structure
```python
import pytest
class TestUserService:
def test_create_user_success(self):
user = create_user(name="John", email="[email protected]")
assert user.name == "John"
assert user.email == "[email protected]"
def test_create_user_invalid_email_fails(self):
with pytest.raises(ValueError, match="Invalid email"):
create_user(name="John", email="invalid")
```
## Fixtures
```python
import pytest
@pytest.fixture
def user():
"""Create a test user."""
return User(name="Test User", email="[email protected]")
@pytest.fixture
def authenticated_client(client, user):
"""Client with authenticated user."""
client.force_login(user)
return client
# Fixture with teardown
@pytest.fixture
def temp_file():
path = Path("/tmp/test_file.txt")
path.write_text("test content")
yield path # Test runs here
path.unlink() # Cleanup after test
# Fixture scopes
@pytest.fixture(scope="module") # Once per module
@pytest.fixture(scope="class") # Once per class
@pytest.fixture(scope="session") # Once per test session
```
## conftest.py
```python
# tests/conftest.py - Shared fixtures
import pytest
@pytest.fixture
def db_session():
session = create_session()
yield session
session.rollback()
@pytest.fixture
def api_client():
return TestClient(app)
```
## Mocking
```python
from unittest.mock import patch, MagicMock
class TestPaymentService:
def test_process_payment_success(self):
with patch("services.payment.stripe_client") as mock_stripe:
mock_stripe.charge.return_value = {"id": "ch_123", "status": "succeeded"}
result = process_payment(amount=100)
assert result["status"] == "succeeded"
mock_stripe.charge.assert_called_once_with(amount=100)
def test_process_payment_failure(self):
with patch("services.payment.stripe_client") as mock_stripe:
mock_stripe.charge.side_effect = PaymentError("Card declined")
with pytest.raises(PaymentError):
process_payment(amount=100)
# MagicMock for complex objects
def test_with_mock_object():
mock_user = MagicMock()
mock_user.id = "user-123"
mock_user.name = "Test User"
mock_user.is_active = True
result = get_user_info(mock_user)
assert result["name"] == "Test User"
```
## Parametrize
```python
@pytest.mark.parametrize("input,expected", [
("hello", "HELLO"),
("world", "WORLD"),
("pytest", "PYTEST"),
])
def test_uppercase(input, expected):
assert input.upper() == expected
@pytest.mark.parametrize("email,is_valid", [
("[email protected]", True),
("invalid-email", False),
("", False),
("[email protected]", False),
])
def test_email_validation(email, is_valid):
assert validate_email(email) == is_valid
```
## Markers
```python
# pytest.ini or pyproject.toml
[tool.pytest.ini_options]
markers = [
"slow: marks tests as slow",
"integration: marks integration tests",
]
# Usage
@pytest.mark.slow
def test_large_data_processing():
...
@pytest.mark.integration
def test_database_connection():
...
@pytest.mark.skip(reason="Not implemented yet")
def test_future_feature():
...
@pytest.mark.skipif(sys.platform == "win32", reason="Unix only")
def test_unix_specific():
...
# Run specific markers
# pytest -m "not slow"
# pytest -m "integration"
```
## Async Tests
```python
import pytest
@pytest.mark.asyncio
async def test_async_function():
result = await async_fetch_data()
assert result is not None
```
## Commands
```bash
pytest # Run all tests
pytest -v # Verbose output
pytest -x # Stop on first failure
pytest -k "test_user" # Filter by name
pytest -m "not slow" # Filter by marker
pytest --cov=src # With coverage
pytest -n auto # Parallel (pytest-xdist)
pytest --tb=short # Short traceback
```
## Keywords
pytest, python, testing, fixtures, mocking, parametrize, markers
This skill provides concise pytest testing patterns and best practices for writing Python tests. It covers test structure, fixtures, mocking, parametrization, markers, async testing, and common pytest commands. Use it to structure reliable, maintainable test suites and speed up test authoring.
It outlines common pytest idioms and examples you can copy into your codebase: class-based and function tests, reusable fixtures with scope and teardown, and shared conftest.py fixtures. It demonstrates mocking with unittest.mock, parameterized test cases with pytest.mark.parametrize, and marker usage for selective runs. It also lists practical pytest CLI flags for running and debugging tests.
How do I share fixtures across multiple test files?
Put fixtures in tests/conftest.py. Pytest auto-discovers those fixtures for any tests under the tests directory.
When should I mock vs use a real dependency?
Mock external services and network calls to keep unit tests fast and deterministic. Use real integrations selectively for integration tests with markers like integration.