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Python logging模块学习笔记

  • 时间:2020-02-10 09:54 编辑: 来源: 阅读:
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摘要:Python logging模块学习笔记
[b]模块级函数[/b] logging.getLogger([name]):返回一个logger对象,如果没有指定名字将返回root logger logging.debug()、logging.info()、logging.warning()、logging.error()、logging.critical():设定root logger的日志级别 logging.basicConfig():用默认Formatter为日志系统建立一个StreamHandler,设置基础配置并加到root logger中 示例:logging_level_example.py
[u]复制代码[/u] 代码如下:
import logging import sys LEVELS = {'debug': logging.DEBUG,           'info': logging.INFO,           'warning': logging.WARNING,           'error': logging.ERROR,           'critical': logging.CRITICAL} if len(sys.argv) > 1:     level_name = sys.argv[1]     level = LEVELS.get(level_name, logging.NOTSET)     logging.basicConfig(level=level) logging.debug('This is a debug message') logging.info('This is an info message') logging.warning('This is a warning message') logging.error('This is an error message') logging.critical('This is a critical error message')
输出:
[u]复制代码[/u] 代码如下:
$ python logging_level_example.py debug DEBUG:root:This is a debug message INFO:root:This is an info message WARNING:root:This is a warning message ERROR:root:This is an error message CRITICAL:root:This is a critical error message $ python logging_level_example.py info INFO:root:This is an info message WARNING:root:This is a warning message ERROR:root:This is an error message CRITICAL:root:This is a critical error message
[b]Loggers[/b] Logger.setLevel(lel):指定最低的日志级别,低于lel的级别将被忽略。debug是最低的内置级别,critical为最高 Logger.addFilter(filt)、Logger.removeFilter(filt):添加或删除指定的filter Logger.addHandler(hdlr)、Logger.removeHandler(hdlr):增加或删除指定的handler Logger.debug()、Logger.info()、Logger.warning()、Logger.error()、Logger.critical():可以设置的日志级别 示例:simple_logging_module.py
[u]复制代码[/u] 代码如下:
import logging # create logger logger = logging.getLogger("simple_example") logger.setLevel(logging.DEBUG) # create console handler and set level to debug ch = logging.StreamHandler() ch.setLevel(logging.DEBUG) # create formatter formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s") # add formatter to ch ch.setFormatter(formatter) # add ch to logger logger.addHandler(ch) # "application" code logger.debug("debug message") logger.info("info message") logger.warn("warn message") logger.error("error message") logger.critical("critical message")
输出:
[u]复制代码[/u] 代码如下:
$ python simple_logging_module.py 2005-03-19 15:10:26,618 - simple_example - DEBUG - debug message 2005-03-19 15:10:26,620 - simple_example - INFO - info message 2005-03-19 15:10:26,695 - simple_example - WARNING - warn message 2005-03-19 15:10:26,697 - simple_example - ERROR - error message 2005-03-19 15:10:26,773 - simple_example - CRITICAL - critical message
[b]Handlers[/b] handler对象负责发送相关的信息到指定目的地。可以通过addHandler()方法添加多个多handler Handler.setLevel(lel):指定被处理的信息级别,低于lel级别的信息将被忽略 Handler.setFormatter():给这个handler选择一个格式 Handler.addFilter(filt)、Handler.removeFilter(filt):新增或删除一个filter对象 [b]Formatters[/b] Formatter对象设置日志信息最后的规则、结构和内容,默认的时间格式为%Y-%m-%d %H:%M:%S,下面是Formatter常用的一些信息
%(name)s Logger的名字
%(levelno)s 数字形式的日志级别
%(levelname)s 文本形式的日志级别
%(pathname)s 调用日志输出函数的模块的完整路径名,可能没有
%(filename)s 调用日志输出函数的模块的文件名
%(module)s 调用日志输出函数的模块名
%(funcName)s 调用日志输出函数的函数名
%(lineno)d 调用日志输出函数的语句所在的代码行
%(created)f 当前时间,用UNIX标准的表示时间的浮 点数表示
%(relativeCreated)d 输出日志信息时的,自Logger创建以 来的毫秒数
%(asctime)s 字符串形式的当前时间。默认格式是 “2003-07-08 16:49:45,896”。逗号后面的是毫秒
%(thread)d 线程ID。可能没有
%(threadName)s 线程名。可能没有
%(process)d 进程ID。可能没有
%(message)s 用户输出的消息
[b]最后来个完整例子:[/b]
[u]复制代码[/u] 代码如下:
import logging # set up logging to file - see previous section for more details logging.basicConfig(level=logging.DEBUG,                     format='%(asctime)s %(name)-12s %(levelname)-8s %(message)s',                     datefmt='%m-%d %H:%M',                     filename='/temp/myapp.log',                     filemode='w') # define a Handler which writes INFO messages or higher to the sys.stderr console = logging.StreamHandler() console.setLevel(logging.INFO) # set a format which is simpler for console use formatter = logging.Formatter('%(name)-12s: %(levelname)-8s %(message)s') # tell the handler to use this format console.setFormatter(formatter) # add the handler to the root logger logging.getLogger('').addHandler(console) # Now, we can log to the root logger, or any other logger. First the root... logging.info('Jackdaws love my big sphinx of quartz.') # Now, define a couple of other loggers which might represent areas in your # application: logger1 = logging.getLogger('myapp.area1') logger2 = logging.getLogger('myapp.area2') logger1.debug('Quick zephyrs blow, vexing daft Jim.') logger1.info('How quickly daft jumping zebras vex.') logger2.warning('Jail zesty vixen who grabbed pay from quack.') logger2.error('The five boxing wizards jump quickly.')
运行后,在终端看到的结果
[u]复制代码[/u] 代码如下:
root        : INFO     Jackdaws love my big sphinx of quartz. myapp.area1 : INFO     How quickly daft jumping zebras vex. myapp.area2 : WARNING  Jail zesty vixen who grabbed pay from quack. myapp.area2 : ERROR    The five boxing wizards jump quickly.
在日志文件中的结果
[u]复制代码[/u] 代码如下:
10-22 22:19 root         INFO     Jackdaws love my big sphinx of quartz. 10-22 22:19 myapp.area1  DEBUG    Quick zephyrs blow, vexing daft Jim. 10-22 22:19 myapp.area1  INFO     How quickly daft jumping zebras vex. 10-22 22:19 myapp.area2  WARNING  Jail zesty vixen who grabbed pay from quack. 10-22 22:19 myapp.area2  ERROR    The five boxing wizards jump quickly.
发现DEBUG信息只有在文件中出现,这是因为StreamHandler中setLevel是INFO,可以看出Logger.setLevel()和handler.setLevel()的区别 详细信息请参阅 http://docs.python.org/library/logging.html
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