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
代码语言:javascript复制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
代码语言:javascript复制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
代码语言:javascript复制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
代码语言:javascript复制import loggingfrom 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:
代码语言:javascript复制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TimedRotatingFileHandlerlogging.handlers.BaseRotatingHandlerlogging.handlers.RotatingFileHandlerlogging.handlers.TimedRotatingFileHandler
logging.handlers.SocketHandler: 远程输出日志到TCP/IP socketslogging.handlers.DatagramHandler: 远程输出日志到UDP socketslogging.handlers.SMTPHandler: 远程输出日志到邮件地址logging.handlers.SysLogHandler: 日志输出到sysloglogging.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bufferlogging.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
代码语言:javascript复制#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:
代码语言:javascript复制import loggingimport 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:
代码语言:javascript复制import loggingimport 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
代码语言:javascript复制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:
代码语言:javascript复制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