I am trying to make a decorator to wrap either coroutines or functions.
The first thing I tried was a simple duplicate code in wrappers:
def duration(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
start_ts = time.time()
result = func(*args, **kwargs)
dur = time.time() - start_ts
print('{} took {:.2} seconds'.format(func.__name__, dur))
return result
@functools.wraps(func)
async def async_wrapper(*args, **kwargs):
start_ts = time.time()
result = await func(*args, **kwargs)
dur = time.time() - start_ts
print('{} took {:.2} seconds'.format(func.__name__, dur))
return result
if asyncio.iscoroutinefunction(func):
return async_wrapper
else:
return wrapper
This works, but i want to avoid duplication of code, as this is not much better than writing two separate decorators.
Then i tried to make a decorator using class:
class SyncAsyncDuration:
def __init__(self):
self.start_ts = None
def __call__(self, func):
@functools.wraps(func)
def sync_wrapper(*args, **kwargs):
self.setup(func, args, kwargs)
result = func(*args, **kwargs)
self.teardown(func, args, kwargs)
return result
@functools.wraps(func)
async def async_wrapper(*args, **kwargs):
self.setup(func, args, kwargs)
result = await func(*args, **kwargs)
self.teardown(func, args, kwargs)
return result
if asyncio.iscoroutinefunction(func):
return async_wrapper
else:
return sync_wrapper
def setup(self, func, args, kwargs):
self.start_ts = time.time()
def teardown(self, func, args, kwargs):
dur = time.time() - self.start_ts
print('{} took {:.2} seconds'.format(func.__name__, dur))
That works in some cases very well for me, but in this solution i can't put a function in with or try statements. Is there any way i can create a decorator without duplicating code?
Python decorators are a powerful concept that allow you to "wrap" a function with another function. The idea of a decorator is to abstract away something that you want a function or class to do, besides its normal responsibility. This can be helpful for many reasons such as code reuse, and sticking to curlys law.
So, here in this post, we are going to learn about Decorator Chaining. Chaining decorators means applying more than one decorator inside a function. Python allows us to implement more than one decorator to a function. It makes decorators useful for reusable building blocks as it accumulates several effects together.
__wrapped__ in Python decorators As we can see from the code of the functools module 1, when decorating an object, there is an attribute named __wrapped__ that holds the reference to the original one. So now if we use this, we can access it directly without having to resort to the old quirks.
What does Functools wrap do? Functools wraps method wraps the wrapper function of the decorator and copies the attributes such as _name__, __doc__ (the docstring), etc of the passed function in the decorator. As a result, it preserves passed function information.
May be you can find better way to do it, but, for example, you can just move your wrapping logic to some context manager to prevent code duplication:
import asyncio
import functools
import time
from contextlib import contextmanager
def duration(func):
@contextmanager
def wrapping_logic():
start_ts = time.time()
yield
dur = time.time() - start_ts
print('{} took {:.2} seconds'.format(func.__name__, dur))
@functools.wraps(func)
def wrapper(*args, **kwargs):
if not asyncio.iscoroutinefunction(func):
with wrapping_logic():
return func(*args, **kwargs)
else:
async def tmp():
with wrapping_logic():
return (await func(*args, **kwargs))
return tmp()
return wrapper
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