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Deep expertise in the pytest framework, mocking strategies, and Test Driven Development.
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| name | pytest-mastery |
| description | Deep expertise in the pytest framework, mocking strategies, and Test Driven Development. |
Deep expertise in the pytest framework, mocking strategies, and Test Driven Development.
* **Framework:** We strictly use `pytest`. Do not use the legacy
`unittest` class-based style unless absolutely necessary for legacy
compatibility.
* **Discovery:** Test files must be named `test_*.py` or `*_test.py`.
Test functions must start with `test_`.
* **Structure:** Tests live in a `tests/` directory that mirrors the
`src/` package structure.
Every test must follow this logical flow:
1. **Arrange:** Set up the state (variables, mocks, fixtures).
2. **Act:** Call the function/method under test.
3. **Assert:** Verify the result matches expectations using simple
`assert` statements.
* **Unit Tests must be Hermetic:** They never touch the network, the
filesystem, or the database.
* **Tools:** Use `unittest.mock` (specifically `patch` and `MagicMock`)
to stub out external dependencies.
* **Fixtures:** Use `pytest.fixture` in `conftest.py` for shared setup
logic to keep test bodies clean.
pytest.mark.parametrize to test multiple input/output scenarios with a single test function (Data-Driven Testing).pytest.raises) when given invalid input.