What is Monkey Patching and is it ever a good idea?

Monkey patching in Python refers to the dynamic (or run-time) modifications of a class or module, allowing developers to alter or extend the behavior of libraries, modules, classes, or methods without modifying the original source code[1][2][3][4][5][7]. This technique can be particularly useful in several scenarios, such as adding temporary bug fixes, adapting a module to fit your needs without waiting for official updates, or during testing to mock certain behaviors[1][2][5].

Understanding Monkey Patching

At its core, monkey patching involves changing the behavior of a code at runtime. For example, if a function in a module provides undesired results, you can redefine this function in your own code to achieve the correct outcomes. This is done by assigning a new function to the existing module or class attribute[3][7].

Advantages of Monkey Patching

1. Flexibility: It allows for modifications and extensions of behavior without altering the original codebase, which can be useful when dealing with third-party libraries[1][5].
2. Immediate Fixes: It provides a quick fix solution for issues in external libraries or modules, especially when an immediate correction is necessary and the external maintainers are slow to act[1][5].
3. Testing and Mocking: Useful in testing environments where you might need to change the behavior of objects to simulate various scenarios without permanently altering the code[1][2].

Disadvantages and Risks

Despite its benefits, monkey patching is generally advised against due to several significant risks:

1. Maintenance Challenges: Monkey patches can make the codebase difficult to understand and maintain, especially for new developers who might not be aware of the runtime changes[1][2][9].
2. Compatibility Issues: Future updates to the original module can break the functionality of the monkey patch, leading to potential system failures[1][5][8].
3. Unintended Side Effects: Changes made through monkey patching can lead to unexpected behaviors in other parts of the system, which might be hard to diagnose[1][2][5].
4. Security Risks: Improper use of monkey patching can introduce sec...