如何在Python中禁用标准错误流的日志记录?这行不通:
import logging
logger = logging.getLogger()
logger.removeHandler(sys.stderr)
logger.warning('foobar') # emits 'foobar' on sys.stderr
如何在Python中禁用标准错误流的日志记录?这行不通:
import logging
logger = logging.getLogger()
logger.removeHandler(sys.stderr)
logger.warning('foobar') # emits 'foobar' on sys.stderr
当前回答
你可以使用:
logging.basicConfig(level=your_level)
your_level是其中之一:
'debug': logging.DEBUG,
'info': logging.INFO,
'warning': logging.WARNING,
'error': logging.ERROR,
'critical': logging.CRITICAL
如果你设置your_level为logging。CRITICAL,你只会得到由以下发送的关键消息:
logging.critical('This is a critical error message')
将your_level设置为日志。DEBUG将显示所有级别的日志记录。
要了解更多详细信息,请查看日志示例。
以同样的方式更改每个Handler的级别使用Handler. setlevel()函数。
import logging
import logging.handlers
LOG_FILENAME = '/tmp/logging_rotatingfile_example.out'
# Set up a specific logger with our desired output level
my_logger = logging.getLogger('MyLogger')
my_logger.setLevel(logging.DEBUG)
# Add the log message handler to the logger
handler = logging.handlers.RotatingFileHandler(
LOG_FILENAME, maxBytes=20, backupCount=5)
handler.setLevel(logging.CRITICAL)
my_logger.addHandler(handler)
其他回答
使用装饰器找到了一个优雅的解决方案,它解决了以下问题:如果您正在编写一个具有多个函数的模块,每个函数都有几个调试消息,并且您希望禁用除当前关注的函数之外的所有函数的登录,该怎么办?
你可以使用装饰器:
import logging, sys
logger = logging.getLogger()
logging.basicConfig(stream=sys.stderr, level=logging.DEBUG)
def disable_debug_messages(func):
def wrapper(*args, **kwargs):
prev_state = logger.disabled
logger.disabled = True
result = func(*args, **kwargs)
logger.disabled = prev_state
return result
return wrapper
然后,你可以这样做:
@disable_debug_messages
def function_already_debugged():
...
logger.debug("This message won't be showed because of the decorator")
...
def function_being_focused():
...
logger.debug("This message will be showed")
...
即使从function_being_focused内部调用function_already_debug,也不会显示来自function_already_debug的调试消息。 这确保您将只看到您所关注的函数的调试消息。
希望能有所帮助!
import logging
log_file = 'test.log'
info_format = '%(asctime)s - %(levelname)s - %(message)s'
logging.config.dictConfig({
'version': 1,
'disable_existing_loggers': False,
'formatters': {
'info_format': {
'format': info_format
},
},
'handlers': {
'console': {
'level': 'INFO',
'class': 'logging.StreamHandler',
'formatter': 'info_format'
},
'info_log_file': {
'class': 'logging.handlers.RotatingFileHandler',
'level': 'INFO',
'filename': log_file,
'formatter': 'info_format'
}
},
'loggers': {
'': {
'handlers': [
'console',
'info_log_file'
],
'level': 'INFO'
}
}
})
class A:
def __init__(self):
logging.info('object created of class A')
self.logger = logging.getLogger()
self.console_handler = None
def say(self, word):
logging.info('A object says: {}'.format(word))
def disable_console_log(self):
if self.console_handler is not None:
# Console log has already been disabled
return
for handler in self.logger.handlers:
if type(handler) is logging.StreamHandler:
self.console_handler = handler
self.logger.removeHandler(handler)
def enable_console_log(self):
if self.console_handler is None:
# Console log has already been enabled
return
self.logger.addHandler(self.console_handler)
self.console_handler = None
if __name__ == '__main__':
a = A()
a.say('111')
a.disable_console_log()
a.say('222')
a.enable_console_log()
a.say('333')
控制台输出:
2018-09-15 15:22:23,354 - INFO - object created of class A
2018-09-15 15:22:23,356 - INFO - A object says: 111
2018-09-15 15:22:23,358 - INFO - A object says: 333
Test.log文件内容:
2018-09-15 15:22:23,354 - INFO - object created of class A
2018-09-15 15:22:23,356 - INFO - A object says: 111
2018-09-15 15:22:23,357 - INFO - A object says: 222
2018-09-15 15:22:23,358 - INFO - A object says: 333
这将防止所有来自第三个库的日志记录,就像这里描述的那样 https://docs.python.org/3/howto/logging.html#configuring-logging-for-a-library
logging.getLogger('somelogger').addHandler(logging.NullHandler())
通过更改“logging.config. log”中的一层。dictConfig”,您将能够将整个日志级别提升到一个新的级别。
logging.config.dictConfig({
'version': 1,
'disable_existing_loggers': False,
'formatters': {
'console': {
'format': '%(name)-12s %(levelname)-8s %(message)s'
},
'file': {
'format': '%(asctime)s %(name)-12s %(levelname)-8s %(message)s'
}
},
'handlers': {
'console': {
'class': 'logging.StreamHandler',
'formatter': 'console'
},
#CHANGE below level from DEBUG to THE_LEVEL_YOU_WANT_TO_SWITCH_FOR
#if we jump from DEBUG to INFO
# we won't be able to see the DEBUG logs in our logging.log file
'file': {
'level': 'DEBUG',
'class': 'logging.FileHandler',
'formatter': 'file',
'filename': 'logging.log'
},
},
'loggers': {
'': {
'level': 'DEBUG',
'handlers': ['console', 'file'],
'propagate': False,
},
}
})
这里有一些非常好的答案,但显然没有考虑太多最简单的答案(只从无穷开始)。
root_logger = logging.getLogger()
root_logger.disabled = True
这将禁用根日志记录器,从而禁用所有其他日志记录器。 我还没有真正测试过,但它应该是最快的。
从python 2.7的日志代码中,我看到了这一点
def handle(self, record):
"""
Call the handlers for the specified record.
This method is used for unpickled records received from a socket, as
well as those created locally. Logger-level filtering is applied.
"""
if (not self.disabled) and self.filter(record):
self.callHandlers(record)
这意味着当它被禁用时,不会调用任何处理程序,并且它应该比过滤到一个非常高的值或设置一个no-op处理程序更有效。