testing
Testing conventions using pytest. Use when writing tests, creating fixtures, or running test suites.
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- 2026年2月1日 11:23
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- testing
- description
- Testing conventions using pytest. Use when writing tests, creating fixtures, or running test suites.
# Testing Standards
## Framework
- Use pytest for all tests
- Target 80%+ code coverage
## File Organization
- Tests in `tests/` directory mirroring `src/` structure
- Test files: `test_<module>.py` or `<module>_test.py`
- Test functions: `test_<description>`
## Fixtures
- Use fixtures for reusable test data
- Prefer `scope="function"` unless shared state is needed
- Use `conftest.py` for shared fixtures
Example:
```python
import pytest
@pytest.fixture
def sample_user():
"""Create a sample user for testing."""
return User(name="Test User", email="test@example.com")
def test_user_creation(sample_user):
assert sample_user.name == "Test User"
assert sample_user.email == "test@example.com"
```
## Parametrization
- Use `@pytest.mark.parametrize` for testing multiple inputs
- Keep parameter names descriptive
Example:
```python
@pytest.mark.parametrize("input_val,expected", [
(1, 2),
(2, 4),
(0, 0),
])
def test_double(input_val, expected):
assert double(input_val) == expected
```
## Assertions
- Use plain `assert` statements
- Write clear assertion messages for complex checks
- Test one concept per test function
## Mocking
- Use `pytest-mock` or `unittest.mock`
- Mock external dependencies (APIs, databases)
- Avoid mocking the code under test
## Commands
- Run tests: `pytest`
- With coverage: `pytest --cov`
- Verbose: `pytest -v`
- Single file: `pytest tests/test_specific.py`
- Single test: `pytest tests/test_specific.py::test_name`
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