Detailed explanation of the usage of logging built-in logging module in Python-Python Tutorial-php.cn

Introduction to logging module

Python's logging module provides a general logging system, which can be conveniently used by third-party modules or applications. This module provides different log levels and can record logs in different ways, such as files, HTTP GET/POST, SMTP, Socket, etc. You can even implement specific logging methods yourself.
The mechanism of the logging module and log4j is the same, but the specific implementation details are different. The module provides logger, handler, filter, and formatter.

logger: Provides a log interface for application code to use. The most commonly used operations of logger fall into two categories: configuration and sending log messages. You can obtain the logger object through logging.getLogger(name). If the name is not specified, the root object is returned. Calling the getLogger method with the same name multiple times returns the same logger object.
Handler: Send log records to appropriate destinations, such as files, sockets, etc. A logger object can add 0 to multiple handlers through the addHandler method, and each handler can define different log levels to achieve hierarchical filtering and display of logs.
filter: Provides an elegant way to determine whether a log record is sent to the handler.
formatter: Specify the specific format of log output. The constructor of formatter requires two parameters: the format string of the message and the date string, both of which are optional.

Similar to log4j, calls to logger, handler and log messages can have specific log levels (Level), only when the level of the log message is greater than the level of the logger and handler.

logging usage analysis

1. Initialize logger = logging.getLogger("endlesscode"), it is best to add the module name to be logged after the getLogger() method. The %(name)s in the subsequent log format corresponds to the module name here
2. Set the level logger.setLevel(logging.DEBUG). There are several levels in Logging: NOTSET < DEBUG < INFO < WARNING < ERROR < CRITICAL. The log will record logs above the set level
3. Handler, commonly used are StreamHandler and FileHandler. Under Windows, you can simply understand that one is console and file log, one is printed on the CMD window, and the other is recorded on a file
4. Formatter defines the order, structure and content of the final log information. I like to use the format '[%(asctime)s] [%(levelname)s] %(message)s', '%Y-%m' -%d %H:%M:%S'，
%(name)s Logger’s name
%(levelname)s log level in text form
%(message)s Messages output by the user
%(asctime)s The current time as a string. The default format is "2003-07-08 16:49:45,896". What comes after the comma is milliseconds
%(levelno)s log level in numeric form
%(pathname)s The full path name of the module that calls the log output function, may not have
%(filename)s is the file name of the module that calls the log output function
%(module)s The name of the module that calls the log output function
%(funcName)s is the function name for calling the log output function
%(lineno)d is the line of code where the statement that calls the log output function is located
%(created)f current time, represented by UNIX standard floating point number representing time
%(relativeCreated)d When outputting log information, the number of milliseconds since the Logger was created
%(thread)d thread ID. Probably not
%(threadName)s thread name. Probably not
%(process)d process ID. Probably not
5. Record Use object.debug(message) to record logs
Let’s write an example below. In the CMD window, only error and above level logs are printed, but debug and above level information are printed in the log

import logging
logger = logging.getLogger("simple_example")
logger.setLevel(logging.DEBUG)
# 建立一个filehandler来把日志记录在文件里，级别为debug以上
fh = logging.FileHandler("spam.log")
fh.setLevel(logging.DEBUG)
# 建立一个streamhandler来把日志打在CMD窗口上，级别为error以上
ch = logging.StreamHandler()
ch.setLevel(logging.ERROR)
# 设置日志格式
formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
ch.setFormatter(formatter)
fh.setFormatter(formatter)
#将相应的handler添加在logger对象中
logger.addHandler(ch)
logger.addHandler(fh)
# 开始打日志
logger.debug("debug message")
logger.info("info message")
logger.warn("warn message")
logger.error("error message")
logger.critical("critical message")

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Run it and you will see that only two logs are recorded in the CMD window and five logs are recorded in spam.log

2016712145241018.jpg (773×353)

When a project is relatively large and Log is used in different files, you can consider encapsulating it into a class for use

#! /usr/bin/env python
#coding=gbk
import logging,os

class Logger:
 def __init__(self, path,clevel = logging.DEBUG,Flevel = logging.DEBUG):
  self.logger = logging.getLogger(path)
  self.logger.setLevel(logging.DEBUG)
  fmt = logging.Formatter('[%(asctime)s] [%(levelname)s] %(message)s', '%Y-%m-%d %H:%M:%S')
  #设置CMD日志
  sh = logging.StreamHandler()
  sh.setFormatter(fmt)
  sh.setLevel(clevel)
  #设置文件日志
  fh = logging.FileHandler(path)
  fh.setFormatter(fmt)
  fh.setLevel(Flevel)
  self.logger.addHandler(sh)
  self.logger.addHandler(fh)

 def debug(self,message):
  self.logger.debug(message)

 def info(self,message):
  self.logger.info(message)

 def war(self,message):
  self.logger.warn(message)

 def error(self,message):
  self.logger.error(message)

 def cri(self,message):
  self.logger.critical(message)

if __name__ =='__main__':
 logyyx = Logger('yyx.log',logging.ERROR,logging.DEBUG)
 logyyx.debug('一个debug信息')
 logyyx.info('一个info信息')
 logyyx.war('一个warning信息')
 logyyx.error('一个error信息')
 logyyx.cri('一个致命critical信息')

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In this way, you only need to instantiate an object every time you use it

logobj = Logger(‘filename',clevel,Flevel)

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If you want to mark error logs in red and warning logs in yellow in the CMD window, you can use the ctypes module

2016712145318276.jpg (732×225)

#! /usr/bin/env python
#coding=gbk
import logging,os
import ctypes

FOREGROUND_WHITE = 0x0007
FOREGROUND_BLUE = 0x01 # text color contains blue.
FOREGROUND_GREEN= 0x02 # text color contains green.
FOREGROUND_RED = 0x04 # text color contains red.
FOREGROUND_YELLOW = FOREGROUND_RED | FOREGROUND_GREEN

STD_OUTPUT_HANDLE= -11
std_out_handle = ctypes.windll.kernel32.GetStdHandle(STD_OUTPUT_HANDLE)
def set_color(color, handle=std_out_handle):
 bool = ctypes.windll.kernel32.SetConsoleTextAttribute(handle, color)
 return bool

class Logger:
 def __init__(self, path,clevel = logging.DEBUG,Flevel = logging.DEBUG):
  self.logger = logging.getLogger(path)
  self.logger.setLevel(logging.DEBUG)
  fmt = logging.Formatter('[%(asctime)s] [%(levelname)s] %(message)s', '%Y-%m-%d %H:%M:%S')
  #设置CMD日志
  sh = logging.StreamHandler()
  sh.setFormatter(fmt)
  sh.setLevel(clevel)
  #设置文件日志
  fh = logging.FileHandler(path)
  fh.setFormatter(fmt)
  fh.setLevel(Flevel)
  self.logger.addHandler(sh)
  self.logger.addHandler(fh)

 def debug(self,message):
  self.logger.debug(message)

 def info(self,message):
  self.logger.info(message)

 def war(self,message,color=FOREGROUND_YELLOW):
  set_color(color)
  self.logger.warn(message)
  set_color(FOREGROUND_WHITE)

 def error(self,message,color=FOREGROUND_RED):
  set_color(color)
  self.logger.error(message)
  set_color(FOREGROUND_WHITE)

 def cri(self,message):
  self.logger.critical(message)

if __name__ =='__main__':
 logyyx = Logger('yyx.log',logging.WARNING,logging.DEBUG)
 logyyx.debug('一个debug信息')
 logyyx.info('一个info信息')
 logyyx.war('一个warning信息')
 logyyx.error('一个error信息')
 logyyx.cri('一个致命critical信息')

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Use logging with multiple modules
The logging module guarantees that within the same python interpreter, calling logging.getLogger('log_name') multiple times will return the same logger instance, even in the case of multiple modules. Therefore, the typical way to use logging in a multi-module scenario is to configure logging in the main module. This configuration will affect multiple sub-modules, and then directly obtain the Logger object through getLogger in other modules.
Profile:

[loggers] 
keys=root,main 
 
[handlers] 
keys=consoleHandler,fileHandler 
 
[formatters] 
keys=fmt 
 
[logger_root] 
level=DEBUG 
handlers=consoleHandler 
 
[logger_main] 
level=DEBUG 
qualname=main 
handlers=fileHandler 
 
[handler_consoleHandler] 
class=StreamHandler 
level=DEBUG 
formatter=fmt 
args=(sys.stdout,) 
 
[handler_fileHandler] 
class=logging.handlers.RotatingFileHandler 
level=DEBUG 
formatter=fmt 
args=('tst.log','a',20000,5,) 
 
[formatter_fmt] 
format=%(asctime)s - %(name)s - %(levelname)s - %(message)s 
datefmt=

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Main module main.py:

import logging 
import logging.config 
 
logging.config.fileConfig('logging.conf') 
root_logger = logging.getLogger('root') 
root_logger.debug('test root logger...') 
 
logger = logging.getLogger('main') 
logger.info('test main logger') 
logger.info('start import module \'mod\'...') 
import mod 
 
logger.debug('let\'s test mod.testLogger()') 
mod.testLogger() 
 
root_logger.info('finish test...')

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Submodule mod.py:

import logging 
import submod 
 
logger = logging.getLogger('main.mod') 
logger.info('logger of mod say something...') 
 
def testLogger(): 
  logger.debug('this is mod.testLogger...') 
  submod.tst()

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Sub-submodule submod.py:

import logging 
 
logger = logging.getLogger('main.mod.submod') 
logger.info('logger of submod say something...') 
 
def tst(): 
  logger.info('this is submod.tst()...')

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然后运行python main.py，控制台输出：

2012-03-09 18:22:22,793 - root - DEBUG - test root logger... 
2012-03-09 18:22:22,793 - main - INFO - test main logger 
2012-03-09 18:22:22,809 - main - INFO - start import module 'mod'... 
2012-03-09 18:22:22,809 - main.mod.submod - INFO - logger of submod say something... 
2012-03-09 18:22:22,809 - main.mod - INFO - logger say something... 
2012-03-09 18:22:22,809 - main - DEBUG - let's test mod.testLogger() 
2012-03-09 18:22:22,825 - main.mod - DEBUG - this is mod.testLogger... 
2012-03-09 18:22:22,825 - main.mod.submod - INFO - this is submod.tst()... 
2012-03-09 18:22:22,841 - root - INFO - finish test...

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可以看出，和预想的一样，然后在看一下tst.log，logger配置中的输出的目的地：

2012-03-09 18:22:22,793 - main - INFO - test main logger 
2012-03-09 18:22:22,809 - main - INFO - start import module 'mod'... 
2012-03-09 18:22:22,809 - main.mod.submod - INFO - logger of submod say something... 
2012-03-09 18:22:22,809 - main.mod - INFO - logger say something... 
2012-03-09 18:22:22,809 - main - DEBUG - let's test mod.testLogger() 
2012-03-09 18:22:22,825 - main.mod - DEBUG - this is mod.testLogger... 
2012-03-09 18:22:22,825 - main.mod.submod - INFO - this is submod.tst()...

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tst.log中没有root logger输出的信息，因为logging.conf中配置了只有main logger及其子logger使用RotatingFileHandler，而root logger是输出到标准输出。

Related labels：

logging python log

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