接【简明】彻底搞清楚Python的装饰器,我们继续介绍类装饰器+带参数的装饰+多装饰器,顾名思义类装饰器就是类闭包。
定义一个类装饰器
需求:实现一个类装饰器,能够在方法执行时打印日志,并且发送通知到指定地方。
from functools import wraps
class logAndNotify(object):
# 初始化,定义日志路径
def __init__(self,logfile='service.log'):
self.logfile = logfile
# 使类成为可调用对象
def __call__(self,func):
@wraps(func)
def wrap_func(*args,**kwargs):
info = func.__name__+'was called'
# 实现写日志
with open(self.logfile,'a') as f:
f.write(info+'\n')
# 实现通知
self.notify()
return func(*args,**kwargs)
return wrap_func
def notify(self):
print('notify has been send...')
@logAndNotify()
def sayHi(name):
print('hello',name,'!')
res = sayHi('phyger')
print(res)
执行结果:
➜ RemoteWorking git:(master) ✗ /usr/bin/python3 /root/RemoteWorking/test/test.py
notify has been send...
hello phyger !
None
类装饰器功能扩展
如果我们想要在此类装饰器的基础上,增加发送邮件的功能,就可以利用类的继承特性来实现。
from functools import wraps
class logAndNotify(object):
# 初始化,定义日志路径
def __init__(self, logfile="service.log"):
self.logfile = logfile
# 使类成为可调用对象
def __call__(self, func):
@wraps(func)
def wrap_func(*args, **kwargs):
info = func.__name__ + "was called"
# 实现写日志
with open(self.logfile, "a") as f:
f.write(info + "\n")
# 实现通知
self.notify()
return func(*args, **kwargs)
return wrap_func
def notify(self):
print("notify has been send...")
class NewWarp(logAndNotify):
# 初始化邮件地址
def __init__(self, email_address='phyger@qq.com', *args, **kwargs):
self.email_address = email_address
super(NewWarp,self).__init__(*args, **kwargs)
# 重写notify方法
def notify(self):
print("notify has been send...")
print('email sended...to',self.email_address)
@NewWarp()
def sayHi(name):
print("hello", name, "!")
res = sayHi("phyger")
print(res)
执行结果:
➜ RemoteWorking git:(master) ✗ /usr/bin/python3 /root/RemoteWorking/test/test.py
notify has been send...
email sended...to phyger@qq.com
hello phyger !
None
带参数的装饰器
当我们需要根据不同的场景对函数进行不同的装饰操作的时候,我们需要使用到带参数的装饰器。
例:日志级别控制
import logging
from functools import wraps
def logg(level):
def mid(func):
@wraps(func)
def inner(*args, **kwargs):
# log设置
#logging.basicConfig(format=' %(asctime)s - %(levelname)s -%(message)s')
logging.basicConfig(format = '"%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s"')
logger = logging.getLogger()
logger.setLevel(level)
# logger打印
logger.info('{} start...'.format(func.__name__))
logger.error('{} errors...'.format(func.__name__))
logger.warn('{} warnning...'.format(func.__name__))
logger.debug('{}end...'.format(func.__name__))
return func(*args, **kwargs)
return inner
return mid
@logg(level='DEBUG')
def sayHi(name):
print('hi,',name)
@logg(level='INFO')
def sayBye(name):
print('bye',name)
sayHi(name='phyger')
sayBye(name='phyger')
执行输出:
➜ RemoteWorking git:(master) ✗ /usr/bin/python3 /root/RemoteWorking/test/test.py
"2020-10-31 11:23:42,161 - test.py[line:15] - INFO: sayHi start..."
"2020-10-31 11:23:42,161 - test.py[line:16] - ERROR: sayHi errors..."
"2020-10-31 11:23:42,162 - test.py[line:17] - WARNING: sayHi warnning..."
"2020-10-31 11:23:42,162 - test.py[line:18] - DEBUG: sayHiend..."
hi, phyger
"2020-10-31 11:23:42,162 - test.py[line:15] - INFO: sayBye start..."
"2020-10-31 11:23:42,162 - test.py[line:16] - ERROR: sayBye errors..."
"2020-10-31 11:23:42,162 - test.py[line:17] - WARNING: sayBye warnning..."
bye phyger
可以看到:
-
当设置最高级别ERROR的时候,所有级别的日志都打印。
-
当设置INFO级别的的时候,DEBUG最低级别的日志不打印。
多装饰器
当有多个不能够耦合的功能需要在函数上增加时,我们需要使用多个装饰器,怎么用呢?
例:实现日志和发送通知的分离
import logging
from functools import wraps
def wrap1(func):
def inner1(*args, **kwargs):
print('start')
func(*args, **kwargs)
print('end')
return True
return inner1
def wrap2(func):
def inner2(*args, **kwargs):
print("msg has sended...")
func(*args, **kwargs)
return True
return inner2
@wrap1
@wrap2
def sayHi(name):
print('hi',name)
sayHi(name='phyher')
执行输出:
➜ RemoteWorking git:(master) ✗ /usr/bin/python3 /root/RemoteWorking/test/test.py
start
msg has sended...
hi phyher
end