File：logger.conf
[formatters]
keys=default
[formatter_default]
format=%(asctime)s - %(name)s - %(levelname)s - %(message)s
class=logging.Formatter
[handlers]
keys=console, error_file
[handler_console]
class=logging.StreamHandler
formatter=default
args=tuple()
[handler_error_file]
class=logging.FileHandler
level=INFO
formatter=default
args=("logger.log", "a")
[loggers]
keys=root
[logger_root]
level=DEBUG
formatter=default
handlers=console,error_file
File：logger.py
#!/bin/env python
import logging
from logging.config import logging
class Test(object):
"""docstring for Test"""
def __init__(self):
logging.config.fileConfig("logger.conf")
self.logger = logging.getLogger(__name__)
def test_func(self):
self.logger.error(‘test_func function‘)
class Worker(object):
"""docstring for Worker"""
def __init__(self):
logging.config.fileConfig("logger.conf")
self.logger = logging.getLogger(__name__)
data_logger = logging.getLogger(‘data‘)
handler = logging.FileHandler(‘./data.log‘)
fmt = logging.Formatter(‘%(asctime)s|%(message)s‘)
handler.setFormatter(fmt)
data_logger.addHandler(handler)
data_logger.setLevel(logging.DEBUG)
self.data_logger = data_logger
def test_logger(self):
self.data_logger.error("test_logger function")
instance = Test()
self.data_logger.error("test_logger output")
instance.test_func()
def main():
worker = Worker()
worker.test_logger()
if __name__ == ‘__main__‘:
main()
fileConfig() function takes a default parameter, disable_existing_loggers, which defaults to True for reasons of backward compatibility. This may or may not be what you want, since it will cause any loggers existing before the fileConfig() call to be disabled unless they (or an ancestor) are explicitly named in the configuration.” 的说明，即调用fileconfig()函数会将之前存在的所有logger禁用。在python 2.7版本该fileConfig()函数添加了一个参数，logging.config.fileConfig(fname, defaults=None, disable_existing_loggers=True)，可以显式的将disable_existing_loggers设置为FALSE来避免将原有的logger禁用。将上述代码中的Test类中的logging.config.fileConfig函数改成logging.config.fileConfig("./logger.conf", disable_existing_loggers=0)就可以解决问题。 不过该代码中由于位于同一程序内，可以直接用logging.getLogger(LOGGOR_NAME)函数引用同一个logger，不用再调用logging.config.fileConfig函数重新加载一遍了。File：logger.conf
[formatters]
keys=default, data
[formatter_default]
format=%(asctime)s - %(name)s - %(levelname)s - %(message)s
class=logging.Formatter
[formatter_data]
format=%(asctime)s|%(message)s
class=logging.Formatter
[handlers]
keys=console, error_file, data_file
[handler_console]
class=logging.StreamHandler
formatter=default
args=tuple()
[handler_error_file]
class=logging.FileHandler
level=INFO
formatter=default
args=("logger.log", "a")
[handler_data_file]
class=logging.FileHandler
level=INFO
formatter=data
args=("data_new.log", "a")
[loggers]
keys=root, data
[logger_root]
level=DEBUG
handlers=console,error_file
[logger_data]
level=DEBUG
handlers=data_file
qualname=data
propagate=0
File：logger.py
#!/bin/env python
import logging
from logging.config import logging
class Test(object):
"""docstring for Test"""
def __init__(self):
self.logger = logging.getLogger(__name__)
def test_func(self):
self.logger.error(‘test_func function‘)
class Worker(object):
"""docstring for Worker"""
def __init__(self):
logging.config.fileConfig("logger.conf")
self.logger = logging.getLogger(__name__)
self.data_logger = logging.getLogger(‘data‘)
def test_logger(self):
self.data_logger.error("test_logger function")
instance = Test()
self.data_logger.error("test_logger output")
instance.test_func()
def main():
worker = Worker()
worker.test_logger()
if __name__ == ‘__main__‘:
main()
原文：http://www.cnblogs.com/sxhlinux/p/6390523.html