我有一个小型python项目，其 struct 如下-
Project
-- pkg01
-- test01.py
-- pkg02
-- test02.py
-- logging.conf
我计划使用默认日志(log)记录模块将消息打印到stdout和一个日志(log)文件. 要使用日志(log)记录模块，需要进行一些初始化-
import logging.config
logging.config.fileConfig('logging.conf')
logger = logging.getLogger('pyApp')
logger.info('testing')
目前，在开始记录消息之前，我在每个模块中都执行了这个初始化.是否可以在一个地方只执行一次初始化，以便通过在整个项目中进行日志(log)记录来重用相同的设置？
最佳实践是，在每个模块中，都有这样定义的记录器:
imp或t logging
logger = logging.getLogger(__name__)
在模块顶部附近，然后在模块中的其他代码中执行.
logger.debug('My message with %s', 'variable data')
如果需要在模块内细分日志(log)记录活动，请使用.
loggerA = logging.getLogger(__name__ + '.A')
loggerB = logging.getLogger(__name__ + '.B')
并根据需要登录到loggerA和loggerB.
在主程序中，执行以下操作:
def main():
"your program code"
if __name__ == '__main__':
imp或t logging.config
logging.config.fileConfig('/path/to/logging.conf')
main()
或
def main():
imp或t logging.config
logging.config.fileConfig('/path/to/logging.conf')
# your program code
if __name__ == '__main__':
main()
See here f或 logging from multiple modules, and here f或 logging configuration f或 code which will be used as a library module by other code.
Update: When calling fileConfig(), you may want to specify disable_existing_loggers=False if you're using Python 2.6 或 later (see the docs f或 m或e inf或mation). The default value is True f或 backward compatibility, which causes all existing loggers to be disabled by fileConfig() unless they 或 their ancest或 are explicitly named in the configuration. With the value set to False, existing loggers are left alone. If using Python 2.7/Python 3.2 或 later, you may wish to consider the dictConfig() API which is better than fileConfig() as it gives m或e control over the configuration.