Python日志记录多个文件

我对Python日志模块有一个问题，我不确定我是否在做一些愚蠢的事情，但我有两个Python脚本，一个（master.py）调用另一个（slave.py）。它们都记录到单独的日志文件中，但是调用的第二个脚本（slave.py）似乎是递归记录的

有人知道我做错了什么吗

这是我的密码：

# master.py

import sys
import logging
import slave

masterLog = logging.getLogger('master')
masterLog.setLevel(logging.DEBUG)
masterHandler = logging.FileHandler('master.log')
formatter = logging.Formatter('%(levelname)s: %(asctime)s %(funcName)s(%(lineno)d) -- %(message)s', datefmt = '%Y-%m-%d %H:%M:%S')
masterHandler.setFormatter(formatter)
masterLog.addHandler(masterHandler)
masterLog.info('This is masterLog running on master.py')
print 'master.py has: ', len(masterLog.handlers), 'handlers'

for i in range(1,6):
      masterLog.info('Running slave %s' % i)
      slave.runMain()

---

以下是输出：

master.py has:  1 handlers
slave.py has:  1 handlers
slave.py has:  2 handlers
slave.py has:  3 handlers
slave.py has:  4 handlers
slave.py has:  5 handlers

以及master.log：

INFO: 2012-02-29 13:26:49 <module>(13) -- This is masterLog running on master.py
INFO: 2012-02-29 13:26:49 <module>(17) -- Running slave 1
INFO: 2012-02-29 13:26:49 <module>(17) -- Running slave 2
INFO: 2012-02-29 13:26:49 <module>(17) -- Running slave 3
INFO: 2012-02-29 13:26:49 <module>(17) -- Running slave 4
INFO: 2012-02-29 13:26:49 <module>(17) -- Running slave 5

从属脚本似乎在每次调用时都添加一个新的文件处理程序。slave.log文件中应该只有5个条目，但每次调用slave.py时，记录器都会输出到每个文件处理程序

谢谢， Jak

logging.getLogger（[name]）

总是返回同一个对象（全局对象），每次调用runMain时都对其调用addHandler

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import logging
import logging.handlers
from logging.config import dictConfig

logger = logging.getLogger(__name__)

DEFAULT_LOGGING = {
    'version': 1,
    'disable_existing_loggers': False,
}
def configure_logging(logfile_path):
    """
    Initialize logging defaults for Project.

    :param logfile_path: logfile used to the logfile
    :type logfile_path: string

    This function does:

    - Assign INFO and DEBUG level to logger file handler and console handler

    """
    dictConfig(DEFAULT_LOGGING)

    default_formatter = logging.Formatter(
        "[%(asctime)s] [%(levelname)s] [%(name)s] [%(funcName)s():%(lineno)s] [PID:%(process)d TID:%(thread)d] %(message)s",
        "%d/%m/%Y %H:%M:%S")

    file_handler = logging.handlers.RotatingFileHandler(logfile_path, maxBytes=10485760,backupCount=300, encoding='utf-8')
    file_handler.setLevel(logging.INFO)

    console_handler = logging.StreamHandler()
    console_handler.setLevel(logging.DEBUG)

    file_handler.setFormatter(default_formatter)
    console_handler.setFormatter(default_formatter)

    logging.root.setLevel(logging.DEBUG)
    logging.root.addHandler(file_handler)
    logging.root.addHandler(console_handler)



[31/10/2015 22:00:33] [DEBUG] [yourmodulename] [yourfunction_name():9] [PID:61314 TID:140735248744448] this is logger infomation from hello module

---

我认为您最好在main函数中配置日志记录格式。

slaveLog是一个全局对象，您每次都在runMain（）中调用addHandler。谢谢，在添加fileHandler之前，我使用了“if not len（slaveLog.handlers）：”来解决这个问题。我（错误地）认为日志模块不会多次添加同一个文件处理程序。感谢您的回复：-）我以为日志模块不会添加一个已经存在的处理程序？因为每次调用时它都是相同的[name]，我不明白为什么它总是添加另一个处理程序。我甚至可以运行removeHandler（）函数，但它不会删除任何内容。您应该只在一个位置配置日志记录（添加处理程序、设置级别等）。请参阅本文：谢谢，我现在有了它：-）slave.py有时会被自己作为脚本调用，因此在这种情况下，我需要在slave.py中配置日志记录。但是master.py也会多次调用slave.py，在这种情况下，日志记录已经配置好了，因此slave.py会多次添加相同的fileHandler，从而导致错误。

INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py
INFO: 2012-02-29 13:26:49 runMain(13) -- This is slaveLog running on slave.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import logging
import logging.handlers
from logging.config import dictConfig

logger = logging.getLogger(__name__)

DEFAULT_LOGGING = {
    'version': 1,
    'disable_existing_loggers': False,
}
def configure_logging(logfile_path):
    """
    Initialize logging defaults for Project.

    :param logfile_path: logfile used to the logfile
    :type logfile_path: string

    This function does:

    - Assign INFO and DEBUG level to logger file handler and console handler

    """
    dictConfig(DEFAULT_LOGGING)

    default_formatter = logging.Formatter(
        "[%(asctime)s] [%(levelname)s] [%(name)s] [%(funcName)s():%(lineno)s] [PID:%(process)d TID:%(thread)d] %(message)s",
        "%d/%m/%Y %H:%M:%S")

    file_handler = logging.handlers.RotatingFileHandler(logfile_path, maxBytes=10485760,backupCount=300, encoding='utf-8')
    file_handler.setLevel(logging.INFO)

    console_handler = logging.StreamHandler()
    console_handler.setLevel(logging.DEBUG)

    file_handler.setFormatter(default_formatter)
    console_handler.setFormatter(default_formatter)

    logging.root.setLevel(logging.DEBUG)
    logging.root.addHandler(file_handler)
    logging.root.addHandler(console_handler)



[31/10/2015 22:00:33] [DEBUG] [yourmodulename] [yourfunction_name():9] [PID:61314 TID:140735248744448] this is logger infomation from hello module