logging 日志模块

logging(日志模块)

• 快速编写格式(扩展性不强)

  import logging
  import requests
  
  # 日志配置
  logging.basicConfig(
      filename='log.log',
      format=' %(asctime)s - %(name)s - %(levelname)s -%(module)s:  %(message)s',
      datefmt='%Y-%m-%d %H:%M:%S %p',
      level=logging.ERROR)
  # 异常处理
  try:
      requests.get('http://www.xxx.com')
  except Exception  as e:
      mes = str(e)
      # 日志生成
      logging.error(mes, ext_info=True)    #ext_info=True保存堆栈信息
  

• 推荐编写方式

  import logging
  file_hander = logging.FileHandler(filename='log.log',mode='a',encoding='utf-8',)
  logging.basicConfig(
      format=%(asctime)s - %(name)s - %(levelname)s -%(module)s:  %(message)s',
      datafmt='%Y-%m-%d %H:%M:%S %p',
      handlers=[file_handler,],
      level=logging.ERROR
  )
  
  logging.error('你好')
  

• 更改调用机制:

  import logging
  
  def get_logger():
      file_hander = logging.FileHandler(filename='log.log',mode='a',encoding='utf-	8',)
      logging.basicConfig(
          format=%(asctime)s - %(name)s - %(levelname)s -%(module)s:  %(message)s',
          datafmt='%Y-%m-%d %H:%M:%S %p',
          handlers=[file_handler,],
          level=logging.ERROR
      )
  	return logging
  logger = get_logger()
  
  
  logging.error('你好')
  

• 推荐日志处理方式+日志切割

  import time
  import logging
  from logging import handlers
  
  file_handler = handlers.TimedRotatingFileHandler(filename='x3.log', when='s', interval=5, encoding='utf-8')
  logging.basicConfig(
      format='%(asctime)s - %(name)s - %(levelname)s -%(module)s:  %(message)s',
      datefmt='%Y-%m-%d %H:%M:%S %p',
      handlers=[file_handler,],
      level=logging.ERROR
  )
  
  for i in range(1,100000):
      time.sleep(1)
      logging.error(str(i))
  

• 注意事项

  # 在应用日志时，如果想要保留异常的堆栈信息。
  import logging
  import requests
  
  logging.basicConfig(
      filename='wf.log',
      format='%(asctime)s - %(name)s - %(levelname)s -%(module)s:  %(message)s',
      datefmt='%Y-%m-%d %H:%M:%S %p',
      level=logging.ERROR
  )
  
  try:
      requests.get('http://www.xxx.com')
  except Exception as e:
      msg = str(e) # 调用e.__str__方法
      logging.error(msg,exc_info=True)