Answers for "python @decorator"

decorator python

def our_decorator(func):
    def function_wrapper(x):
        print("Before calling " + func.__name__)
        func(x)
        print("After calling " + func.__name__)
    return function_wrapper

@our_decorator
def foo(x):
    print("Hi, foo has been called with " + str(x))

foo("Hi")

decorators in python

# this functon converts any string into uppercase
def deco(function):
    def wrap(s):
        return s.upper()
        function(s)
    return wrap

@deco
def display(s):
    return s 
print(display("not bad"))

python decorator

import functools

# A decorator is a Higher order function "_with_logging"
# It takes the function to be decorated as its argument
# In order to pass in some arbitrary arguments, it must be wrapped into
# another HOF (Higher order function) that will receive the inputs
def with_logging(level=logging.DEBUG, msg = None):
    def _with_logging(fn):
        # 'wraps' is a HOF that will give fn's name and docs to decorated_fn i.e. 
        #   decorated_fn.__name__ = fn.__name__
        #   help(decorated_fn) = help(fn)
        @functools.wraps(fn)
        def decorated_fn(*args, **kwargs):
            res = fn(*args, **kwargs)
            print("n***************", f"n{msg}", "nExecuting with Args: ", *args, **kwargs)
            logging.log(level, res)
            return res
        return decorated_fn
    return _with_logging
  
# Used this way
@with_logging(level=logging.DEBUG, msg="Some awesome comment")
def hello_world(name):
  return f'Hello World {name}'
  
# Results after calling hello_world("John")
#
# ***************
# Some awesome comment
# Executing with Args: John
# Hello World John