Refactor a Messy Repo Without Breaking It: Characterization Tests, Then the Smallest Safe Change

Описание и применение

Используйте тесты‑характеризации, чтобы зафиксировать поведение сложного модуля, затем постепенно рефакторьте, не ломая функциональность.

Задача

A legacy pricing module is 900 lines, undocumented, and has no tests, making any change risky and leading to production rollbacks.

Результат

Characterization tests captured the existing behavior of a 900‑line pricing function, allowing the team to refactor incrementally without breaking production. The approach turned a risky rewrite into a controlled, test‑driven process.

Рабочий процесс

• Identify high‑churn, high‑branch files with git log --oneline -- <file> and radon cc <file> -s
• Add a lightweight recording decorator to the target module and enable it via CHAR_CAPTURE=1
• Run normal workflows to exercise the module, generating recordings.json
• Create a pytest replay harness that turns each recorded call into a test case
• Run the test suite; any failure indicates an unknown behavior that must be understood before further changes
• Iteratively refactor small parts of the module, running tests after each change to ensure no new failures
• Repeat until the module is refactored or replaced with a cleaner implementation

Доказательства

A characterization test captures what the code does today without judging whether that behavior is correct.

Источник

Drop the decorator into the messy module, run your normal workflows, and the suite freezes whatever you just executed.

Источник