有没有一种方法使Python日志记录使用日志模块自动输出东西到标准输出除了日志文件,他们应该去哪里?例如,我希望所有的通话都记录在案。警告,记录器。关键,记录器。错误被复制到它们的预期位置,但总是被复制到标准输出。这是为了避免重复以下信息:
mylogger.critical("something failed")
print("something failed")
有没有一种方法使Python日志记录使用日志模块自动输出东西到标准输出除了日志文件,他们应该去哪里?例如,我希望所有的通话都记录在案。警告,记录器。关键,记录器。错误被复制到它们的预期位置,但总是被复制到标准输出。这是为了避免重复以下信息:
mylogger.critical("something failed")
print("something failed")
当前回答
既然没有人分享过简洁的两款眼线笔,我就分享我自己的:
logging.basicConfig(filename='logs.log', level=logging.DEBUG, format="%(asctime)s:%(levelname)s: %(message)s")
logging.getLogger().addHandler(logging.StreamHandler())
其他回答
可以使用多个处理程序。
import logging
import auxiliary_module
# create logger with 'spam_application'
log = logging.getLogger('spam_application')
log.setLevel(logging.DEBUG)
# create formatter and add it to the handlers
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
# create file handler which logs even debug messages
fh = logging.FileHandler('spam.log')
fh.setLevel(logging.DEBUG)
fh.setFormatter(formatter)
log.addHandler(fh)
# create console handler with a higher log level
ch = logging.StreamHandler()
ch.setLevel(logging.ERROR)
ch.setFormatter(formatter)
log.addHandler(ch)
log.info('creating an instance of auxiliary_module.Auxiliary')
a = auxiliary_module.Auxiliary()
log.info('created an instance of auxiliary_module.Auxiliary')
log.info('calling auxiliary_module.Auxiliary.do_something')
a.do_something()
log.info('finished auxiliary_module.Auxiliary.do_something')
log.info('calling auxiliary_module.some_function()')
auxiliary_module.some_function()
log.info('done with auxiliary_module.some_function()')
# remember to close the handlers
for handler in log.handlers:
handler.close()
log.removeFilter(handler)
请参阅:https://docs.python.org/2/howto/logging-cookbook.html
这里有一个非常简单的例子:
import logging
l = logging.getLogger("test")
# Add a file logger
f = logging.FileHandler("test.log")
l.addHandler(f)
# Add a stream logger
s = logging.StreamHandler()
l.addHandler(s)
# Send a test message to both -- critical will always log
l.critical("test msg")
输出将在stdout和文件中显示“test msg”。
登录到stdout的最简单方法:
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
所有日志输出都由处理程序处理;只需将logging.StreamHandler()添加到根日志记录器。
下面是一个配置流处理程序的例子(使用stdout而不是默认的stderr),并将其添加到根日志记录器:
import logging
import sys
root = logging.getLogger()
root.setLevel(logging.DEBUG)
handler = logging.StreamHandler(sys.stdout)
handler.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
root.addHandler(handler)
我简化了我的源代码(其原始版本是OOP并使用配置文件),为您提供了@EliasStrehle的一个替代解决方案,而不使用dictConfig(因此最容易与现有源代码集成):
import logging
import sys
def create_stream_handler(stream, formatter, level, message_filter=None):
handler = logging.StreamHandler(stream=stream)
handler.setLevel(level)
handler.setFormatter(formatter)
if message_filter:
handler.addFilter(message_filter)
return handler
def configure_logger(logger: logging.Logger, enable_console: bool = True, enable_file: bool = True):
if not logger.handlers:
if enable_console:
message_format: str = '{asctime:20} {name:16} {levelname:8} {message}'
date_format: str = '%Y/%m/%d %H:%M:%S'
level: int = logging.DEBUG
formatter = logging.Formatter(message_format, date_format, '{')
# Configures error output (from Warning levels).
error_output_handler = create_stream_handler(sys.stderr, formatter,
max(level, logging.WARNING))
logger.addHandler(error_output_handler)
# Configures standard output (from configured Level, if lower than Warning,
# and excluding everything from Warning and higher).
if level < logging.WARNING:
standard_output_filter = lambda record: record.levelno < logging.WARNING
standard_output_handler = create_stream_handler(sys.stdout, formatter, level,
standard_output_filter)
logger.addHandler(standard_output_handler)
if enable_file:
message_format: str = '{asctime:20} {name:16} {levelname:8} {message}'
date_format: str = '%Y/%m/%d %H:%M:%S'
level: int = logging.DEBUG
output_file: str = '/tmp/so_test.log'
handler = logging.FileHandler(output_file)
formatter = logging.Formatter(message_format, date_format, '{')
handler.setLevel(level)
handler.setFormatter(formatter)
logger.addHandler(handler)
这是一个非常简单的测试方法:
logger: logging.Logger = logging.getLogger('MyLogger')
logger.setLevel(logging.DEBUG)
configure_logger(logger, True, True)
logger.debug('Debug message ...')
logger.info('Info message ...')
logger.warning('Warning ...')
logger.error('Error ...')
logger.fatal('Fatal message ...')