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())

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)

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"}

子类化你想要暂时禁用的处理程序:

class ToggledHandler(logging.StreamHandler):
"""A handler one can turn on and off"""

def __init__(self, args, kwargs):
    super(ToggledHandler, self).__init__(*args, **kwargs)
    self.enabled = True  # enabled by default

def enable(self):
    """enables"""
    self.enabled = True

def disable(self):
    """disables"""
    self.enabled = False

def emit(self, record):
    """emits, if enabled"""
    if self.enabled:
        # this is taken from the super's emit, implement your own
        try:
            msg = self.format(record)
            stream = self.stream
            stream.write(msg)
            stream.write(self.terminator)
            self.flush()
        except Exception:
            self.handleError(record)

通过名称查找处理程序非常简单:

_handler = [x for x in logging.getLogger('').handlers if x.name == your_handler_name]
if len(_handler) == 1:
    _handler = _handler[0]
else:
    raise Exception('Expected one handler but found {}'.format(len(_handler))

一旦发现:

_handler.disable()
doStuff()
_handler.enable()

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())

不需要转移标准输出。这里有一个更好的方法:

import logging
class MyLogHandler(logging.Handler):
    def emit(self, record):
        pass

logging.getLogger().addHandler(MyLogHandler())

一个更简单的方法是:

logging.getLogger().setLevel(100)