Hello! I'm starting a personal project in .NET.
For a logging solution, I want to achieve something similar to what I have in a Python REST API I wrote a while back using the decorator pattern (example in the image).
In the example, the outter "log" function receives the logger I want to use, the decorator function receives a function and returns the decorated function ready to be called (this would be the decorator), and the wrapper function receives the same arguments as the function to be decorated (which is a generic (*args, **kwargs) ofc, because it's meant to decorate any function) and returns whatever the return type of the function is (so, Any). In lines 17 - 24 I just call the passed in "func" with the passed in arguments, but in between I wrap it in a try except block and log that the function with name func.__name__ started or finished executing. In practice, using this decorator in Python looks like this:
import logging
from my.decorator.module import log
_logger = logging.getLogger(__name__)
@log(_logger)
def my_func(arg1: Arg1Type, arg2: Arg2Type) -> ReturnType:
...
Ofc it's a lot simpler in Python, however I was wondering if it would be possible or even recommended to attempt something similar in C#. I wouldn't mind having to call the function and wrap it manually, something like this:
return RunWithLogs(MyFunction, arg1, arg2);
What I do want to avoid is manually writing the log statements inside the service's business logic, or having to write separate wrappers for each method I want to log. Would be nice to have one generic function or class that I can somehow plug-in to any method and have it log when the call starts and finishes.
Any suggestions? Thanks in advance.
Not that I would recommend it, but you can also try something like extension methods on Func.
I think you may have enough diagnostic info with reflection to write something meaningful, and you can add overloads with generic parameters for the func params, and/or Action.
You may also create an IDisposable that logs a start and end statement around a function call:
Personally, I wouldn’t do either of these. This level of logging produces an enormous amount of noise, making finding signal very difficult. I would focus more energy on writing unique and helpful messages where they are important, and using
git grepto find the related source code when they show up in production logs (assuming you don’t log a stack trace). This level of call logging can be temporarily useful while debugging or reasoning through an app, but rarely belongs in production.