Monitoring a Function in Python

You can use decorators in Python to monitor the execution of a function using another function. A decorator is a function that takes another function and extends the behavior of the latter function without explicitly modifying it. You can define a decorator function that takes a function as its argument and returns a wrapper function that executes the original function while monitoring its performance.

You can use @Rajkiran solutions. In that example, the monitor function is defined as a decorator that takes a function func as its argument. It defines a new function wrapper that takes any number of positional and keyword arguments using *args and **kwargs, respectively. wrapper measures the time taken by the original function func to execute and prints the execution time before returning the result.

The @monitor syntax is used to apply the monitor decorator to the my_function function. This means that whenever my_function is called, it will be wrapped by the monitor function.

There are a few different approaches you could take to monitoring a function in Python. One option would be to use decorators to wrap the function you want to monitor with a monitoring function that tracks the function's performance. Here's an example implementation:

import time

def monitor(func):
    def wrapper(*args, **kwargs):
        start_time = time.time()
        result = func(*args, **kwargs)
        end_time = time.time()
        run_time = end_time - start_time
        print(f"Function '{func.__name__}' took {run_time:.4f} seconds to execute.")
        return result
    return wrapper

@monitor
def my_function(arg1, arg2):
    # your code here
    pass