Python使用logging结合decorator模式实现优化日志输出的方法

本文实例讲述了Python使用logging结合decorator模式实现优化日志输出的方法。分享给大家供大家参考，具体如下：

python内置的loging模块非常简便易用, 很适合程序运行日志的输出。

而结合python的装饰器模式，则可实现简明实用的代码。测试代码如下所示:

#! /usr/bin/env python2.7
# -*- encoding: utf-8 -*-
import logging
logging.basicConfig(format='[%(asctime)s] %(message)s', level=logging.INFO)
def time_recorder(func):
  """装饰器, 用在func方法执行前后, 增加运行信息"""
  def wrapper():
    logging.info("Begin to execute function: %s" % func.__name__)
    func()
    logging.info("Finish executing function: %s" % func.__name__)
  return wrapper
@time_recorder
def first_func():
  print "I'm first_function. I'm doing something..."
@time_recorder
def second_func():
  print "I'm second_function. I'm doing something..."
if __name__ == "__main__":
  first_func()
  second_func()

运行并得到输出:

[2014-04-01 18:02:13,724] Begin to execute function: first_func
I'm first_function. I'm doing something...
[2014-04-01 18:02:13,725] Finish executing function: first_func
[2014-04-01 18:02:13,725] Begin to execute function: second_func
I'm second_function. I'm doing something...
[2014-04-01 18:02:13,725] Finish executing function: second_func

希望本文所述对大家Python程序设计有所帮助。