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:
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#! /usr/bin/env python2.7# -*- encoding: utf-8 -*-import logginglogging.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_recorderdef first_func(): print "I'm first_function. I'm doing something..."@time_recorderdef 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:
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[2014-04-01 18:02:13,724] Begin to execute function: first_funcI'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_funcI'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。
