本文实例讲述了Python内置模块logging用法。分享给大家供大家参考,具体如下:
1、将日志直接输出到屏幕
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import logging logging.debug( 'This is debug message' ) logging.info( 'This is info message' ) logging.warning( 'This is warning message' ) # 默认情况下,logging将日志打印到屏幕,日志级别为WARNING; #output==================================== # WARNING:root:This is warning message |
2.通过logging.basicConfig函数对日志的输出格式及方式做相关配置
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import logging logging.basicConfig(level = logging.DEBUG, format = '%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s' , datefmt = '%a, %d %b %Y %H:%M:%S' , filename = 'myapp.log' , filemode = 'w' ) logging.debug( 'This is debug message' ) logging.info( 'This is info message' ) logging.warning( 'This is warning message' ) #./myapp.log文件中内容为: #Sun, 24 May 2009 21:48:54 demo2.py[line:11] DEBUG This is debug message #Sun, 24 May 2009 21:48:54 demo2.py[line:12] INFO This is info message #Sun, 24 May 2009 21:48:54 demo2.py[line:13] WARNING This is warning message |
logging.basicConfig参数:
#logging.basicConfig函数各参数:
filename: 指定日志文件名
filemode: 和file函数意义相同,指定日志文件的打开模式,'w'或'a'
format: 指定输出的格式和内容,format可以输出很多有用信息,如上例所示:
%(levelno)s: 打印日志级别的数值
%(levelname)s: 打印日志级别名称
%(pathname)s: 打印当前执行程序的路径,其实就是sys.argv[0]
%(filename)s: 打印当前执行程序名
%(funcName)s: 打印日志的当前函数
%(lineno)d: 打印日志的当前行号
%(asctime)s: 打印日志的时间
%(thread)d: 打印线程ID
%(threadName)s: 打印线程名称
%(process)d: 打印进程ID
%(message)s: 打印日志信息
datefmt: 指定时间格式,同time.strftime()
level: 设置日志级别,默认为logging.WARNING
stream: 指定将日志的输出流,可以指定输出到sys.stderr,sys.stdout或者文件,默认输出到sys.stderr,当stream和filename同时指定时,stream被忽略
3、将日志同时输出到多个Handler
先定义一个住handler,并使用addHander()
添加到主handler,实现日志输出到多个handler.
a、同时输出到文件和屏幕
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import logging #设置一个basicConfig只能输出到一个Handler logging.basicConfig(level = logging.DEBUG, format = '%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s' , datefmt = '%a, %d %b %Y %H:%M:%S' , filename = 'myapp.log' , filemode = 'w' ) #定义一个StreamHandler,将INFO级别或更高的日志信息打印到标准错误,并将其添加到当前的日志处理对象# console = logging.StreamHandler() console.setLevel(logging.INFO) formatter = logging.Formatter( '%(name)-12s: %(levelname)-8s %(message)s' ) console.setFormatter(formatter) logging.getLogger('').addHandler(console) #输出到文件的log级别为debug,输出到stream的log级别为info logging.debug( 'This is debug message' ) logging.info( 'This is info message' ) logging.warning( 'This is warning message' ) |
b、添加一个handler:输出到文件,并根据文件大小滚动存储
在a的基础上添加一个handler
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from logging.handlers import RotatingFileHandler #定义一个RotatingFileHandler,最多备份5个日志文件,每个日志文件最大10M Rthandler = RotatingFileHandler( 'myapp.log' , maxBytes = 10 * 1024 * 1024 ,backupCount = 5 ) Rthandler.setLevel(logging.INFO) formatter = logging.Formatter( '%(name)-12s: %(levelname)-8s %(message)s' ) Rthandler.setFormatter(formatter) logging.getLogger('').addHandler(Rthandler) |
logging几种Handler类型:
logging.StreamHandler(默认): 日志输出到流,可以是sys.stderr、sys.stdout或者文件
logging.FileHandler: 日志输出到文件
logging.handlers.RotatingFileHandler 日志输出到文件,基于文件大小滚动存储日志
logging.handlers.TimedRotatingFileHandler 日志输出到文件,基于时间周期滚动存储日志
logging.handlers.SocketHandler: 远程输出日志到TCP/IP sockets
logging.handlers.DatagramHandler: 远程输出日志到UDP sockets
logging.handlers.SMTPHandler: 远程输出日志到邮件地址
logging.handlers.SysLogHandler: 日志输出到syslog
logging.handlers.NTEventLogHandler: 远程输出日志到Windows NT/2000/XP的事件日志
logging.handlers.MemoryHandler: 日志输出到内存中的制定buffer
logging.handlers.HTTPHandler: 通过"GET"或"POST"远程输出到HTTP服务器
4、通过配置文件配置logger
a、定义配置文件logger.conf
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#logger.conf ############################################### [loggers] keys = root,example01,example02 [logger_root] level = DEBUG handlers = hand01,hand02 [logger_example01] handlers = hand01,hand02 qualname = example01 propagate = 0 [logger_example02] handlers = hand01,hand03 qualname = example02 propagate = 0 ############################################### [handlers] keys = hand01,hand02,hand03 [handler_hand01] class = StreamHandler level = INFO formatter = form02 args = (sys.stderr,) [handler_hand02] class = FileHandler level = DEBUG formatter = form01 args = ( 'myapp.log' , 'a' ) [handler_hand03] class = handlers.RotatingFileHandler level = INFO formatter = form02 args = ( 'myapp.log' , 'a' , 10 * 1024 * 1024 , 5 ) ############################################### [formatters] keys = form01,form02 [formatter_form01] format = % (asctime)s % (filename)s[line: % (lineno)d] % (levelname)s % (message)s datefmt = % a, % d % b % Y % H: % M: % S [formatter_form02] format = % (name) - 12s : % (levelname) - 8s % (message)s datefmt = |
b、logging.config获取配置
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import logging import logging.config logging.config.fileConfig( "logger.conf" ) logger = logging.getLogger( "example01" ) logger.debug( 'This is debug message' ) logger.info( 'This is info message' ) logger.warning( 'This is warning message' ) |
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import logging import logging.config logging.config.fileConfig( "logger.conf" ) logger = logging.getLogger( "example02" ) logger.debug( 'This is debug message' ) logger.info( 'This is info message' ) logger.warning( 'This is warning message' ) |
希望本文所述对大家Python程序设计有所帮助。
原文链接:http://www.cnblogs.com/tkqasn/p/6020282.html