When you decorate a function in Python, the decorator replaces the original function with a new function that has the same name as the original function. This can sometimes lead to confusion when debugging or profiling code, especially if multiple decorators are applied to the same function.
To avoid this issue, you can use the wraps function from the functools module to decorate the decorator itself and give the decorated function a new name. Here's an example:
from functools import wrapsdef my_decorator(func): @wraps(func) def new_func(*args, **kwargs): # Do something before calling the original function result = func(*args, **kwargs) # Do something after calling the original function return result # Rename the decorated function new_func.__name__ = f"decorated_{func.__name__}" return new_func@my_decoratordef my_function(): passprint(my_function.__name__) # Output: "decorated_my_function" |
In this example, we define a decorator my_decorator that wraps the original function with some additional functionality. We use wraps to decorate new_func, the wrapper function that replaces the original function. wraps copies the attributes of the original function to the new function, including the name, docstring, and signature.
After defining new_func, we rename it by setting its __name__ attribute to a new name that includes the original function name. This gives the decorated function a new name that reflects its decorator.
Finally, we apply the my_decorator decorator to my_function, which replaces the original function with the decorated function. We then print the name of the decorated function, which should include the prefix "decorated_" followed by the original function name.
By renaming decorated functions, we can avoid confusion and make it easier to debug and profile decorated code.