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

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)

其他回答

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"}

我使用:

logger = logging.getLogger()
logger.disabled = True
... whatever you want ...
logger.disabled = False

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,
    },
}

})

您可以更改特定处理程序的调试模式级别,而不是完全禁用它。

因此,如果你有一个情况,你想停止调试模式的控制台,但你仍然需要保持其他级别,如错误。你可以像下面这样做

# create logger
logger = logging.getLogger(__name__)

def enableConsoleDebug (debug = False):
    #Set level to logging.DEBUG to see CRITICAL, ERROR, WARNING, INFO and DEBUG statements
    #Set level to logging.ERROR to see the CRITICAL & ERROR statements only
    logger.setLevel(logging.DEBUG)

    debugLevel = logging.ERROR
    if debug:
        debugLevel = logging.DEBUG

    for handler in logger.handlers:
        if type(handler) is logging.StreamHandler:
            handler.setLevel (debugLevel)

完全禁用日志记录:

logging.disable(sys.maxint) # Python 2

logging.disable(sys.maxsize) # Python 3

启用日志记录:

logging.disable(logging.NOTSET)

其他答案提供的工作并不能完全解决问题,例如

logging.getLogger().disabled = True

当n大于50时,

logging.disable(n)

第一个解决方案的问题是它只适用于根日志记录器。使用logging.getLogger(__name__)创建的其他记录器不会被此方法禁用。

第二个解决方案确实会影响所有日志。但是它将输出限制在给定级别之上,因此可以通过记录级别大于50的日志来覆盖它。

这可以通过

logging.disable(sys.maxint)

据我所知(在查看源代码后),这是完全禁用日志记录的唯一方法。