python-testing
|
Works with
---
name: python-testing
description: |
license: MIT
---
## Quick Reference
| pytest Command | Purpose |
|----------------|---------|
| `pytest` | Run all tests |
| `pytest -v` | Verbose output |
| `pytest -k "name"` | Run tests matching pattern |
| `pytest -x` | Stop on first failure |
| `pytest --lf` | Run last failed |
| `pytest -n auto` | Parallel execution |
| Fixture Scope | Duration |
|---------------|----------|
| `function` | Per test (default) |
| `class` | Per test class |
| `module` | Per test file |
| `session` | Entire test run |
| Mock Pattern | Code |
|--------------|------|
| Patch function | `mocker.patch("module.func")` |
| Return value | `mock.return_value = {...}` |
| Side effect | `mock.side_effect = [a, b, exc]` |
| Assert called | `mock.assert_called_once()` |
| Marker | Use Case |
|--------|----------|
| `@pytest.mark.asyncio` | Async tests |
| `@pytest.mark.parametrize` | Multiple inputs |
| `@pytest.mark.skip` | Skip test |
| `@pytest.mark.xfail` | Expected failure |
## When to Use This Skill
Use for **testing Python code**:
- Writing pytest tests with fixtures
- Mocking external dependencies
- Testing async code
- Setting up code coverage
- Testing FastAPI applications
**Related skills:**
- For FastAPI: see `python-fastapi`
- For async patterns: see `python-asyncio`
- For CI/CD: see `python-github-actions`
---
# Python Testing Best Practices (2025)
## Overview
Modern Python testing centers around pytest as the de facto standard, with additional tools for coverage, mocking, and async testing.
## Pytest Fundamentals
### Installation
```bash
# With uv
uv add --dev pytest pytest-cov pytest-asyncio pytest-xdist
# With pip
pip install pytest pytest-cov pytest-asyncio pytest-xdist
```
### Basic Test Structure
```python
# tests/test_calculator.py
import pytest
from mypackage.calculator import add, divide
def test_add_positive_numbers():
assert add(2, 3) == 5
def test_add_negative_numbers():
assert add(-2, -3) == -5
def test_add_mixed_numbers():
assert add(-2, 3) == 1
def test_divide_by_zero():
with pytest.raises(ZeroDivisionError):
divide(10, 0)
def test_divide_result():
result = divide(10, 2)
assert result == pytest.approx(5.0)
```
### Running Tests
```bash
# Run all tests
pytest
# Verbose output
pytest -v
# Run specific file
pytest tests/test_calculator.py
# Run specific test
pytest tests/test_calculator.py::test_add_positive_numbers
# Run tests matching pattern
pytest -k "add"
# Stop on first failure
pytest -x
# Run last failed tests
pytest --lf
# Parallel execution
pytest -n auto
```
## Fixtures
### Basic Fixtures
```python
# tests/conftest.py
import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
@pytest.fixture
def sample_user():
"""Provides a sample user dictionary."""
return {
"name": "John Doe",
"email": "john@example.com",
"age": 30,
}
@pytest.fixture
def db_session():
"""Provides a database session that rolls back after test."""
engine = create_engine("sqlite:///:memory:")
Session = sessionmaker(bind=engine)
session = Session()
yield session
session.rollback()
session.close()
```
### Fixture Scopes
```python
@pytest.fixture(scope="function") # Default: new for each test
def per_test_fixture():
return create_resource()
@pytest.fixture(scope="class") # Shared within test class
def per_class_fixture():
return create_expensive_resource()
@pytest.fixture(scope="module") # Shared within test module
def per_module_fixture():
return create_very_expensive_resource()
@pytest.fixture(scope="session") # Shared across entire test session
def per_session_fixture():
resource = create_global_resource()
yield resource
cleanup_global_resource(resource)
```
### Parameterized Fixtures
```python
@pytest.fixture(params=["sqlite", "postgresql", "mysql"])
def database_type(request):
return request.param
def test_with_multiple_databases(database_type):
# This test runs 3 times, once for each database type
db = create_connection(database_type)
assert db.is_connected()
```
## Parameterized Tests
### Basic Parametrize
```python
import pytest
@pytest.mark.parametrize("input,expected", [
(1, 1),
(2, 4),
(3, 9),
(4, 16),
])
def test_square(input, expected):
assert input ** 2 == expected
@pytest.mark.parametrize("a,b,expected", [
(1, 2, 3),
(-1, 1, 0),
(0, 0, 0),
(100, 200, 300),
])
def test_add(a, b, expected):
assert add(a, b) == expected
```
### Parametrize with IDs
```python
@pytest.mark.parametrize("input,expected", [
pytest.param(1, 1, id="one"),
pytest.param(2, 4, id="two"),
pytest.param(3, 9, id="three"),
])
def test_square_with_ids(input, expected):
assert input ** 2 == expected
# Run with: pytest -v
# Shows: test_square_with_ids[one] PASSED
```
### Combining Parametrize
```python
@pytest.mark.parametrize("x", [1, 2])
@pytest.mark.parametrize("y", [3, 4])
def test_combinations(x, y):
# Runs 4 times: (1,3), (1,4), (2,3), (2,4)
assert x + y in [4, 5, 6]
```
## Mocking
### Using pytest-mock
```python
from unittest.mock import MagicMock, patch
def test_with_mock(mocker):
# Mock a method
mock_api = mocker.patch("mypackage.api.fetch_data")
mock_api.return_value = {"status": "success"}
result = process_data()
assert result["status"] == "success"
mock_api.assert_called_once()
def test_mock_return_values(mocker):
# Different return values for successive calls
mock_func = mocker.patch("mypackage.service.get_item")
mock_func.side_effect = [
{"id": 1},
{"id": 2},
ValueError("Not found"),
]
assert get_item(1) == {"id": 1}
assert get_item(2) == {"id": 2}
with pytest.raises(ValueError):
get_item(3)
```
### Context Manager Mocking
```python
def test_mock_context_manager(mocker):
mock_open = mocker.patch("builtins.open", mocker.mock_open(read_data="file content"))
with open("test.txt") as f:
content = f.read()
assert content == "file content"
mock_open.assert_called_once_with("test.txt")
```
### Mocking Classes
```python
def test_mock_class(mocker):
MockUser = mocker.patch("mypackage.models.User")
mock_instance = MockUser.return_value
mock_instance.name = "Test User"
mock_instance.save.return_value = True
user = create_user("Test User")
assert user.name == "Test User"
mock_instance.save.assert_called_once()
```
## Async Testing
### pytest-asyncio
```python
import pytest
import asyncio
from httpx import AsyncClient
@pytest.mark.asyncio
async def test_async_function():
result = await async_fetch_data()
assert result is not None
@pytest.mark.asyncio
async def test_async_with_fixture(async_client: AsyncClient):
response = await async_client.get("/api/users")
assert response.status_code == 200
# Fixture for async client
@pytest.fixture
async def async_client():
async with AsyncClient(base_url="http://test") as client:
yield client
```
### Async Fixtures
```python
@pytest.fixture
async def async_db_session():
engine = create_async_engine("postgresql+asyncpg://...")
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
async_session = sessionmaker(engine, class_=AsyncSession)
async with async_session() as session:
yield session
await session.rollback()
```
### Testing FastAPI
```python
import pytest
from httpx import AsyncClient, ASGITransport
from myapp.main import app
@pytest.fixture
async def client():
async with AsyncClient(
transport=ASGITransport(app=app),
base_url="http://test"
) as client:
yield client
@pytest.mark.asyncio
async def test_read_main(client: AsyncClient):
response = await client.get("/")
assert response.status_code == 200
assert response.json() == {"message": "Hello World"}
@pytest.mark.asyncio
async def test_create_item(client: AsyncClient):
response = await client.post(
"/items/",
json={"name": "Test Item", "price": 10.0},
)
assert response.status_code == 201
assert response.json()["name"] == "Test Item"
```
## Coverage
### Configuration
```toml
# pyproject.toml
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = [
"-ra",
"-q",
"--strict-markers",
"--cov=src",
"--cov-report=term-missing",
"--cov-report=html",
"--cov-fail-under=80",
]
[tool.coverage.run]
branch = true
source = ["src"]
omit = ["*/tests/*", "*/__init__.py"]
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"def __repr__",
"raise NotImplementedError",
"if TYPE_CHECKING:",
"if __name__ == .__main__.:",
]
```
### Running with Coverage
```bash
# Generate coverage report
pytest --cov=src --cov-report=html
# Check coverage threshold
pytest --cov=src --cov-fail-under=80
# Coverage for specific paths
pytest --cov=src/mypackage --cov-report=term-missing
```
## Test Organization
### Recommended Structure
```text
tests/
├── conftest.py # Shared fixtures
├── unit/ # Unit tests
│ ├── conftest.py # Unit test fixtures
│ ├── test_models.py
│ └── test_utils.py
├── integration/ # Integration tests
│ ├── conftest.py
│ └── test_api.py
├── e2e/ # End-to-end tests
│ └── test_workflows.py
└── fixtures/ # Test data
├── users.json
└── products.json
```
### Conftest Hierarchy
```python
# tests/conftest.py - Shared across all tests
@pytest.fixture
def app_config():
return {"debug": True, "testing": True}
# tests/unit/conftest.py - Unit test specific
@pytest.fixture
def mock_database(mocker):
return mocker.MagicMock()
# tests/integration/conftest.py - Integration test specific
@pytest.fixture
def real_database():
db = create_test_database()
yield db
db.cleanup()
```
## Markers
### Built-in Markers
```python
import pytest
@pytest.mark.skip(reason="Not implemented yet")
def test_future_feature():
pass
@pytest.mark.skipif(sys.platform == "win32", reason="Unix only")
def test_unix_specific():
pass
@pytest.mark.xfail(reason="Known bug, see issue #123")
def test_known_failure():
assert False
@pytest.mark.slow
def test_slow_operation():
time.sleep(10)
```
### Custom Markers
```python
# pytest.ini or pyproject.toml
[tool.pytest.ini_options]
markers = [
"slow: marks tests as slow",
"integration: marks tests as integration tests",
"requires_db: marks tests that need database",
]
```
```bash
# Run only slow tests
pytest -m slow
# Skip slow tests
pytest -m "not slow"
# Combine markers
pytest -m "integration and not slow"
```
## Property-Based Testing
### Hypothesis
```python
from hypothesis import given, strategies as st
@given(st.integers(), st.integers())
def test_addition_commutative(a, b):
assert add(a, b) == add(b, a)
@given(st.lists(st.integers()))
def test_sort_idempotent(items):
sorted_once = sorted(items)
sorted_twice = sorted(sorted_once)
assert sorted_once == sorted_twice
@given(st.text(min_size=1))
def test_string_reverse_twice(s):
assert s[::-1][::-1] == s
# Custom strategy
@given(st.builds(
User,
name=st.text(min_size=1, max_size=100),
email=st.emails(),
age=st.integers(min_value=0, max_value=150),
))
def test_user_validation(user):
assert user.is_valid()
```
## Snapshot Testing
### syrupy
```python
from syrupy.assertion import SnapshotAssertion
def test_api_response(snapshot: SnapshotAssertion):
response = get_api_response()
assert response == snapshot
def test_html_output(snapshot: SnapshotAssertion):
html = render_template("user.html", user=sample_user)
assert html == snapshot(extension_class=HTMLSnapshotExtension)
```
## Best Practices
### 1. Test Naming
```python
# Clear, descriptive names
def test_user_creation_with_valid_email_succeeds():
...
def test_user_creation_with_invalid_email_raises_validation_error():
...
def test_empty_cart_returns_zero_total():
...
```
### 2. Arrange-Act-Assert
```python
def test_order_total():
# Arrange
order = Order()
order.add_item(Item(price=10.00))
order.add_item(Item(price=20.00))
# Act
total = order.calculate_total()
# Assert
assert total == 30.00
```
### 3. One Assertion Per Test (Generally)
```python
# Prefer multiple focused tests
def test_user_has_correct_name():
user = create_user("John")
assert user.name == "John"
def test_user_has_default_role():
user = create_user("John")
assert user.role == "member"
# Over one test with many assertions
def test_user_creation(): # Less focused
user = create_user("John")
assert user.name == "John"
assert user.role == "member"
assert user.is_active
assert user.created_at is not None
```
### 4. Use Fixtures for Setup
```python
# Good: Reusable fixture
@pytest.fixture
def authenticated_user(db_session):
user = User(name="Test", email="test@example.com")
db_session.add(user)
db_session.commit()
return user
def test_user_can_post(authenticated_user):
post = authenticated_user.create_post("Hello")
assert post.author == authenticated_user
# Avoid: Repeated setup in each test
def test_user_can_post_bad():
user = User(name="Test", email="test@example.com")
db_session.add(user) # Repeated in every test
db_session.commit()
post = user.create_post("Hello")
assert post.author == user
```
## Additional References
For production-ready fixture patterns beyond this guide, see:
- **[Pytest Fixtures Cookbook](references/pytest-fixtures-cookbook.md)** - SQLAlchemy async sessions, PostgreSQL with Docker, user factories, generic model factories, authentication fixtures, external API mocks, time freezing, environment fixtures, file fixtures, parametrized fixtures, cleanup patterns, Redis fixturesMore Testing skills
tdd
mattpocock/skills
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
setup-pre-commit
mattpocock/skills
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

