python之强大的日志模块

发布时间：2019-07-26 09:44:54编辑：auto阅读（1522）

作者：txw1958 | 出处：博客园 | 2011/10/21 19:41:55 | 阅读43次
1.简单的将日志打印到屏幕
 
import logging logging.debug('This is debug message') logging.info('This is info message') logging.warning('This is warning message')   屏幕上打印: WARNING:root:This is warning message
默认情况下，logging将日志打印到屏幕，日志级别为WARNING；
日志级别大小关系为：CRITICAL > ERROR > WARNING > INFO > DEBUG > NOTSET，当然也可以自己定义日志级别。
2.通过logging.basicConfig函数对日志的输出格式及方式做相关配置
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.将日志同时输出到文件和屏幕
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') ################################################################################################# #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) ################################################################################################# logging.debug('This is debug message') logging.info('This is info message') logging.warning('This is warning message')   屏幕上打印: root        : INFO     This is info message root        : 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
4.logging之日志回滚
import logging 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) ################################################################################################
从上例和本例可以看出，logging有一个日志处理的主对象，其它处理方式都是通过addHandler添加进去的。
logging的几种handle方式如下：
 
logging.StreamHandler: 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 日志回滚方式，实际使用时用RotatingFileHandler和TimedRotatingFileHandler logging.handlers.BaseRotatingHandler logging.handlers.RotatingFileHandler logging.handlers.TimedRotatingFileHandler 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
 
由于StreamHandler和FileHandler是常用的日志处理方式，所以直接包含在logging模块中，而其他方式则包含在logging.handlers模块中，
上述其它处理方式的使用请参见python2.5手册！
5.通过logging.config模块配置日志
#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=
上例3：
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')
上例4：
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')
6.logging是线程安全的
7.logging重定向strerr,strout
import logging
import sys
 
class StreamToLogger(object):
   """
   Fake file-like stream object that redirects writes to a logger instance.
   """
   def __init__(self, logger, log_level=logging.INFO):
      self.logger = logger
      self.log_level = log_level
      self.linebuf = ''
 
   def write(self, buf):
      for line in buf.rstrip().splitlines():
         self.logger.log(self.log_level, line.rstrip())
 
logging.basicConfig(
   level=logging.DEBUG,
   format='%(asctime)s:%(levelname)s:%(name)s:%(message)s',
   filename="out.log",
   filemode='a'
)
 
stdout_logger = logging.getLogger('STDOUT')
sl = StreamToLogger(stdout_logger, logging.INFO)
sys.stdout = sl
 
stderr_logger = logging.getLogger('STDERR')
sl = StreamToLogger(stderr_logger, logging.ERROR)
sys.stderr = sl
 
print "Test to standard out"
raise Exception('Test to standard error')


We define a custom file-like object called StreamToLogger object which sends anything written to it to a logger instead. We then create two instances of that object and replace sys.stdout and sys.stderr with our fake file-like instances.
The output logfile looks like this:
2011-08-14 14:46:20,573:INFO:STDOUT:Test to standard out  
2011-08-14 14:46:20,573:ERROR:STDERR:Traceback (most recent call last):  
2011-08-14 14:46:20,574:ERROR:STDERR:  File "redirect.py", line 33, in   
2011-08-14 14:46:20,574:ERROR:STDERR:raise Exception('Test to standard error')  
2011-08-14 14:46:20,574:ERROR:STDERR:Exception  
2011-08-14 14:46:20,574:ERROR:STDERR::  
2011-08-14 14:46:20,574:ERROR:STDERR:Test to standard error  
2011-08-14 14:46:20,573:INFO:STDOUT:Test to standard out
2011-08-14 14:46:20,573:ERROR:STDERR:Traceback (most recent call last):
2011-08-14 14:46:20,574:ERROR:STDERR:  File "redirect.py", line 33, in 
2011-08-14 14:46:20,574:ERROR:STDERR:raise Exception('Test to standard error')
2011-08-14 14:46:20,574:ERROR:STDERR:Exception
2011-08-14 14:46:20,574:ERROR:STDERR::
2011-08-14 14:46:20,574:ERROR:STDERR:Test to standard error

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