(早就死了的问题，但对未来的搜索者来说)

更接近最初海报的代码/意图，这适用于我在python 2.6下

#!/usr/bin/python
import logging

logger = logging.getLogger() # this gets the root logger

lhStdout = logger.handlers[0]  # stdout is the only handler initially

# ... here I add my own handlers 
f = open("/tmp/debug","w")          # example handler
lh = logging.StreamHandler(f)
logger.addHandler(lh)

logger.removeHandler(lhStdout)

logger.debug("bla bla")

我必须解决的问题是在添加一个新的stdout处理程序后删除它;如果没有处理程序，记录器代码将自动重新添加标准输出。

IndexOutOfBound修复:如果你得到一个IndexOutOfBound错误，而实例化lhStdout，移动实例化后添加你的文件处理程序，即。

...
logger.addHandler(lh)

lhStdout = logger.handlers[0]
logger.removeHandler(lhStdout)

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!

你还可以:

handlers = app.logger.handlers
# detach console handler
app.logger.handlers = []
# attach
app.logger.handlers = handlers

这不是100%的解决方案，但这里没有一个答案解决了我的问题。我有自定义的日志模块，根据严重程度输出彩色文本。我需要禁用stdout输出，因为它复制了我的日志。我对将关键日志输出到控制台很满意，因为我几乎不使用它。我没有测试它是否为stderr，因为我没有在日志中使用它，但它应该与stdout的工作方式相同。它将CRITICAL设置为仅针对stdout的最小严重程度(如果请求则为stderr)。

logger = logging.getLogger()
logger.setLevel(logging.DEBUG)

# disable terminal output - it is handled by this module
stdout_handler = logging.StreamHandler(sys.stdout)

# set terminal output to critical only - won't output lower levels
stdout_handler.setLevel(logging.CRITICAL)

# add adjusted stream handler
logger.addHandler(stdout_handler)

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

使用上下文管理器-[最简单]

import logging 

class DisableLogger():
    def __enter__(self):
       logging.disable(logging.CRITICAL)
    def __exit__(self, exit_type, exit_value, exit_traceback):
       logging.disable(logging.NOTSET)

使用示例:

with DisableLogger():
    do_something()

如果你需要[更复杂的]细粒度的解决方案，你可以看看AdvancedLogger

AdvancedLogger can be used for fine grained logging temporary modifications

How it works:
Modifications will be enabled when context_manager/decorator starts working and be reverted after

Usage:
AdvancedLogger can be used
- as decorator `@AdvancedLogger()`
- as context manager `with  AdvancedLogger():`

It has three main functions/features:
- disable loggers and it's handlers by using disable_logger= argument
- enable/change loggers and it's handlers by using enable_logger= argument
- disable specific handlers for all loggers, by using  disable_handler= argument

All features they can be used together

AdvancedLogger的用例

# Disable specific logger handler, for example for stripe logger disable console
AdvancedLogger(disable_logger={"stripe": "console"})
AdvancedLogger(disable_logger={"stripe": ["console", "console2"]})

# Enable/Set loggers
# Set level for "stripe" logger to 50
AdvancedLogger(enable_logger={"stripe": 50})
AdvancedLogger(enable_logger={"stripe": {"level": 50, "propagate": True}})

# Adjust already registered handlers
AdvancedLogger(enable_logger={"stripe": {"handlers": "console"}