testing-python-libraries
Designs and implements pytest test suites for Python libraries with fixtures, parametrization, mocking, Hypothesis property-based testing, and CI configuration. Use when creating tests, improving coverage, setting up testing infrastructure, or implementing property-based testing.
What this skill does
# Python Library Testing
## Quick Start
```bash
pytest # Run tests
pytest --cov=my_library # With coverage
pytest -x # Stop on first failure
pytest -k "test_encode" # Run matching tests
```
## Pytest Configuration
```toml
# pyproject.toml
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-ra -q --cov=my_library --cov-fail-under=85"
[tool.coverage.run]
branch = true
source = ["src/my_library"]
```
## Test Structure
```
tests/
├── conftest.py # Shared fixtures
├── test_encoding.py
└── test_decoding.py
```
## Essential Patterns
**Basic test:**
```python
def test_encode_valid_input():
result = encode(37.7749, -122.4194)
assert isinstance(result, str)
assert len(result) == 12
```
**Parametrization:**
```python
@pytest.mark.parametrize("lat,lon,expected", [
(37.7749, -122.4194, "9q8yy"),
(40.7128, -74.0060, "dr5ru"),
])
def test_known_values(lat, lon, expected):
assert encode(lat, lon, precision=5) == expected
```
**Fixtures:**
```python
@pytest.fixture
def sample_data():
return [(37.7749, -122.4194), (40.7128, -74.0060)]
def test_batch(sample_data):
results = batch_encode(sample_data)
assert len(results) == 2
```
**Mocking:**
```python
def test_api_call(mocker):
mocker.patch("my_lib.client.fetch", return_value={"data": []})
result = my_lib.get_data()
assert result == []
```
**Exception testing:**
```python
def test_invalid_raises():
with pytest.raises(ValueError, match="latitude"):
encode(91.0, 0.0)
```
For detailed patterns, see:
- **[FIXTURES.md](FIXTURES.md)** - Advanced fixture patterns
- **[HYPOTHESIS.md](HYPOTHESIS.md)** - Property-based testing
- **[CI.md](CI.md)** - CI/CD test configuration
## Test Principles
| Principle | Meaning |
|-----------|---------|
| Independent | No shared state between tests |
| Deterministic | Same result every run |
| Fast | Unit tests < 100ms each |
| Focused | Test behavior, not implementation |
## Checklist
```
Testing:
- [ ] Tests exist for public API
- [ ] Edge cases covered (empty, boundary, error)
- [ ] No external service dependencies (mock them)
- [ ] Coverage > 85%
- [ ] Tests run in CI
```
## Learn More
This skill is based on the [Code Quality](https://mcginniscommawill.com/guides/python-library-development/#code-quality-the-foundation) section of the [Guide to Developing High-Quality Python Libraries](https://mcginniscommawill.com/guides/python-library-development/) by [Will McGinnis](https://mcginniscommawill.com/). See these posts for deeper coverage:
- [Testing with Pytest](https://mcginniscommawill.com/posts/2025-02-04-testing-pytest-intro/)
- [Testing Coverage](https://mcginniscommawill.com/posts/2025-02-09-testing-coverage/)
- [Testing with Tox](https://mcginniscommawill.com/posts/2025-02-13-testing-tox/)
- [Testing with Mocking](https://mcginniscommawill.com/posts/2025-02-16-testing-mocking/)
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