欧美bbbwbbbw肥妇,免费乱码人妻系列日韩,一级黄片

解決Python logging模塊無法正常輸出日志的問題

 更新時間:2020年02月21日 10:11:22   作者:sxhlinux  
今天小編就為大家分享一篇解決Python logging模塊無法正常輸出日志的問題,具有很好的參考價值,希望對大家有所幫助。一起跟隨小編過來看看吧

廢話少說,先上代碼

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()

問題一:測試過程中,只能打印出test_logger function一條語句

問題二:明明只在data_logger中打印出語句,但是logger的日志中也出現(xiàn)了相關(guān)的日志。

問題一解決方案:

利用python -m pdb logger.py 語句對腳本進行調(diào)試發(fā)現(xiàn),在執(zhí)行instance = Test()語句后,通過print '\n'.join(['%s:%s' % item for item in self.data_logger.__dict__.items()])調(diào)試語句看到data_logger的disable屬性值由0變成了True,此時logger的對應(yīng)屬性也發(fā)生了相同的變化。這種變化導(dǎo)致了logger對象停止記錄日志。

參考python logging模塊的相關(guān)手冊發(fā)現(xiàn)

“The 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.”

的說明,即調(diào)用fileconfig()函數(shù)會將之前存在的所有l(wèi)ogger禁用。

在python 2.7版本該fileConfig()函數(shù)添加了一個參數(shù),logging.config.fileConfig(fname, defaults=None, disable_existing_loggers=True),可以顯式的將disable_existing_loggers設(shè)置為FALSE來避免將原有的logger禁用。

將上述代碼中的Test類中的logging.config.fileConfig函數(shù)改成logging.config.fileConfig("./logger.conf", disable_existing_loggers=0)就可以解決問題。

不過該代碼中由于位于同一程序內(nèi),可以直接用logging.getLogger(LOGGOR_NAME)函數(shù)引用同一個logger,不用再調(diào)用logging.config.fileConfig函數(shù)重新加載一遍了。

問題二解決方案:

logger對象有個屬性propagate,如果這個屬性為True,就會將要輸出的信息推送給該logger的所有上級logger,這些上級logger所對應(yīng)的handlers就會把接收到的信息打印到關(guān)聯(lián)的日志中。logger.conf配置文件中配置了相關(guān)的root logger的屬性,這個root logger就是默認的logger日志。

修改后的如下:

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()

以上這篇解決Python logging模塊無法正常輸出日志的問題就是小編分享給大家的全部內(nèi)容了,希望能給大家一個參考,也希望大家多多支持腳本之家。

相關(guān)文章

最新評論