Python 函数装饰器
Python 函数的装饰器是修改其他函数功能的函数。
Introduction
首先,我们需要将 Python 中的函数
作为函数对象来理解。
函数名只是引用标识名
def hi(name="yasoob"):
return "hi " + name
print(hi())
# output: 'hi yasoob'
# 我们甚至可以将一个函数赋值给一个变量,比如
greet = hi
# 我们这里没有在使用小括号,因为我们并不是在调用hi函数
# 而是在将它放在greet变量里头。我们尝试运行下这个
print(greet())
# output: 'hi yasoob'
# 如果我们删掉旧的hi函数,看看会发生什么!
del hi
print(hi())
#outputs: NameError
print(greet())
#outputs: 'hi yasoob'
函数的返回值可以是函数对象
def hi(name="yasoob"):
def greet():
return "now you are in the greet() function"
def welcome():
return "now you are in the welcome() function"
if name == "yasoob":
return greet
else:
return welcome
a = hi()
print(a)
#outputs: <function greet at 0x7f2143c01500>
#上面清晰地展示了`a`现在指向到hi()函数中的greet()函数
#现在试试这个
print(a())
#outputs: now you are in the greet() function
函数的参数可以是函数对象
def hi():
return "hi yasoob!"
def doSomethingBeforeHi(func):
print("I am doing some boring work before executing hi()")
print(func())
doSomethingBeforeHi(hi)
#outputs:I am doing some boring work before executing hi()
# hi yasoob!
So what is a decorator?
def a_new_decorator(a_func):
def wrapTheFunction():
print("I am doing some boring work before executing a_func()")
a_func()
print("I am doing some boring work after executing a_func()")
return wrapTheFunction
def a_function_requiring_decoration():
print("I am the function which needs some decoration to remove my foul smell")
a_function_requiring_decoration()
#outputs: "I am the function which needs some decoration to remove my foul smell"
a_function_requiring_decoration = a_new_decorator(a_function_requiring_decoration)
#now a_function_requiring_decoration is wrapped by wrapTheFunction()
a_function_requiring_decoration()
#outputs:I am doing some boring work before executing a_func()
# I am the function which needs some decoration to remove my foul smell
# I am doing some boring work after executing a_func()
这段代码等价于…
@a_new_decorator
def a_function_requiring_decoration():
"""Hey you! Decorate me!"""
print("I am the function which needs some decoration to "
"remove my foul smell")
a_function_requiring_decoration()
#outputs: I am doing some boring work before executing a_func()
# I am the function which needs some decoration to remove my foul smell
# I am doing some boring work after executing a_func()
#the @a_new_decorator is just a short way of saying:
a_function_requiring_decoration = a_new_decorator(a_function_requiring_decoration)
但是,这样的代码存在的问题有,比如,__name__
获取不到正确的函数名。
于是稍加修改,我们有了以下解释器函数的编写模板:
from functools import wraps
def a_new_decorator(a_func):
@wraps(a_func)
def wrapTheFunction():
print("I am doing some boring work before executing a_func()")
a_func()
print("I am doing some boring work after executing a_func()")
return wrapTheFunction
@a_new_decorator
def a_function_requiring_decoration():
"""Hey yo! Decorate me!"""
print("I am the function which needs some decoration to "
"remove my foul smell")
print(a_function_requiring_decoration.__name__)
# Output: a_function_requiring_decoration
Example 1
from functools import wraps
def logit(func):
@wraps(func)
def with_logging(*args, **kwargs):
print(func.__name__ + " was called")
return func(*args, **kwargs)
return with_logging
@logit
def addition_func(x):
"""Do some math."""
return x + x
result = addition_func(4)
# Output: addition_func was called
Decorators with parameters
from functools import wraps
def logit(logfile='out.log'):
def logging_decorator(func):
@wraps(func)
def wrapped_function(*args, **kwargs):
log_string = func.__name__ + " was called"
print(log_string)
# 打开logfile,并写入内容
with open(logfile, 'a') as opened_file:
# 现在将日志打到指定的logfile
opened_file.write(log_string + '\n')
return func(*args, **kwargs)
return wrapped_function
return logging_decorator
@logit()
def myfunc1():
pass
myfunc1()
# Output: myfunc1 was called
# 现在一个叫做 out.log 的文件出现了,里面的内容就是上面的字符串
@logit(logfile='func2.log')
def myfunc2():
pass
myfunc2()
# Output: myfunc2 was called
# 现在一个叫做 func2.log 的文件出现了,里面的内容就是上面的字符串
Class of Decorator
By means of class inheritance, we could implement effects of different kinds of decorations.
from functools import wraps
class logit(object):
def __init__(self, logfile='out.log'):
self.logfile = logfile
def __call__(self, func):
@wraps(func)
def wrapped_function(*args, **kwargs):
log_string = func.__name__ + " was called"
print(log_string)
# 打开logfile并写入
with open(self.logfile, 'a') as opened_file:
# 现在将日志打到指定的文件
opened_file.write(log_string + '\n')
# 现在,发送一个通知
self.notify()
return func(*args, **kwargs)
return wrapped_function
def notify(self):
# logit只打日志,不做别的
pass
class email_logit(logit):
'''
一个logit的实现版本,可以在函数调用时发送email给管理员
'''
def __init__(self, email='admin@myproject.com', *args, **kwargs):
self.email = email
super(email_logit, self).__init__(*args, **kwargs)
def notify(self):
# 发送一封email到self.email
# 这里就不做实现了
pass
@logit
def myfunc1():
pass
@email_logit
def myfunc2():
pass