pytest-patterns

Pytest fixtures provide reusable setup and teardown across function, module, and session scopes, while parametrize runs multiple test cases against a single test function. Together they enforce consistent test structure and reduce duplication in your test suite.

Use unittest.mock to mock external dependencies within tests, ensuring isolation and predictable behavior. Proper mocking patterns prevent flaky tests and clarify what each test actually validates.

Apply pytest.mark.asyncio to async test functions to handle coroutine execution. This pattern ensures async code runs correctly within pytest's test lifecycle without blocking or race conditions.

Flaky tests often stem from inconsistent fixture usage, improper mocking, or missing async patterns. Following established pytest best practices—correct scoping, dependency isolation, and proper async handling—reduces flakiness and improves maintainability.

Yes. Arrange/Act/Assert pairs naturally with pytest fixtures: fixtures handle Arrange setup, your test body performs Act and Assert. This pattern keeps tests readable and maintainable across your suite.

Incremental adoption is possible; pytest patterns apply to new tests immediately and can guide refactoring of older tests. Consistent patterns reduce maintenance burden and catch issues earlier.