Refactoring can be daunting, especially in Python with its dynamic nature. I'm looking for ways to build confidence when making changes to core functions, particularly when it's not immediately clear where or how they are being used. What strategies do you use to ensure you don't overlook any hidden dependencies when refactoring?
5 Answers
One thing I’ve noticed with Python’s dynamic nature is it can create challenges as your code grows. Logging call sites when changing functions can provide insight into dependencies you might miss otherwise. Sure, it should be backed by tests too, but having that extra visibility is super helpful.
Check out 'Modern Software Engineering' by Dave Farley. The book emphasizes writing modular code with functional separation and minimizing coupling. Essentially, make sure every public interface of a module has tests so they fulfill their guarantees. It's a solid approach to keep things manageable during refactors.
Great recommendation! Minimizing coupling is definitely a recurring theme in solid software practices.
Using a static type checker makes a huge difference. It might add some overhead, but it makes figuring out the impact of changing data models or function signatures so much easier. Just be cautious with untypable objects like dataframes; robust unit tests are key there too.
Exactly! Static typing helps a ton, especially when refactoring. It can simplify a lot of tricky situations.
It's also really helpful to separate out your core logic from any I/O or API calls, focusing on static typing and test coverage for those areas. This way, if you need to refactor, you can do it with confidence, even potentially letting AI handle some of it!
That separation strategy has worked wonders for me too! I always find side effects to be the tricky part to navigate.
Having a solid suite of unit tests is essential. If unit tests aren't feasible, consider any kind of automated testing like integration or end-to-end tests. You definitely want something in place that alerts you if something breaks after your refactor.
Totally agree with you on this, tests are a lifesaver! It's especially good when they call out problems early on.
I wish I could use unit tests everywhere, but sometimes it's just not practical. Any other suggestions?
That logging approach is something I hadn’t considered. It’s a solid way to track down those hidden dependencies.