gentleman-programming/gentleman-skills283 installs
pytest
Pytest testing patterns for Python. Trigger: When writing Python tests - fixtures, mocking, markers.
How do I install this agent skill?
npx skills add https://github.com/gentleman-programming/gentleman-skills --skill pytestIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill provides standard documentation and code examples for the pytest testing framework. No security risks were identified.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
1/1 file flagged
What does this agent skill do?
Basic Test Structure
import pytest
class TestUserService:
def test_create_user_success(self):
user = create_user(name="John", email="john@test.com")
assert user.name == "John"
assert user.email == "john@test.com"
def test_create_user_invalid_email_fails(self):
with pytest.raises(ValueError, match="Invalid email"):
create_user(name="John", email="invalid")
Fixtures
import pytest
@pytest.fixture
def user():
"""Create a test user."""
return User(name="Test User", email="test@example.com")
@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
# 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
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
@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", [
("user@example.com", True),
("invalid-email", False),
("", False),
("user@.com", False),
])
def test_email_validation(email, is_valid):
assert validate_email(email) == is_valid
Markers
# 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
import pytest
@pytest.mark.asyncio
async def test_async_function():
result = await async_fetch_data()
assert result is not None
Commands
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
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
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