http://docs.python.org/library/logging.html#logging.basicConfig

logging.basicConfig(filename='/path/to/your/log', level=....)

这里有一个更简单的方法。这个解决方案不使用a Config字典，并使用一个旋转文件处理程序，如下所示:

import logging
from logging.handlers import RotatingFileHandler
     
logging.basicConfig(handlers=[RotatingFileHandler(filename=logpath+filename,
                     mode='w', maxBytes=512000, backupCount=4)], level=debug_level,
                     format='%(levelname)s %(asctime)s %(message)s', 
                    datefmt='%m/%d/%Y%I:%M:%S %p')
     
logger = logging.getLogger('my_logger')

或像这样:

import logging
from logging.handlers import RotatingFileHandler
     
handlers = [ RotatingFileHandler(filename=logpath+filename, 
            mode='w', 
            maxBytes=512000, 
            backupCount=4)
           ]
logging.basicConfig(handlers=handlers, 
                    level=debug_level, 
                    format='%(levelname)s %(asctime)s %(message)s', 
                    datefmt='%m/%d/%Y%I:%M:%S %p')
     
logger = logging.getLogger('my_logger')

handlers变量需要是一个可迭代对象。Logpath +filename和debug_level只是变量 各自的信息。当然，函数参数的值是向上的 给你。

第一次我使用日志模块，我犯了写下面的错误，这产生了一个操作系统文件锁错误(的 以上是解决方案):

import logging
from logging.handlers import RotatingFileHandler
     
logging.basicConfig(filename=logpath+filename, 
       level=debug_level, 
       format='%(levelname)s %(asctime)s %(message)s', 
       datefmt='%m/%d/%Y%I:%M:%S %p')
     
logger = logging.getLogger('my_logger')
logger.addHandler(RotatingFileHandler(
       filename=logpath+filename, 
       mode='w', 
       maxBytes=512000, 
       backupCount=4))

最好干净的方法。

    ds = datetime.now().strftime("%Y%m%d_%H%M%S")
    try:
        # py39 有force参数指定可能强制除去之前的handler，这里使用兼容写法，0708
        logging.getLogger().removeHandler(logging.getLogger().handlers[0])
        logging.getLogger().removeHandler(logging.getLogger().handlers[0])
    except:
        pass
    logging.basicConfig(
        # force=
        level=logging.INFO,
        format="%(asctime)s [%(levelname)s] %(message)s",
        handlers=[
            logging.FileHandler('log_%s_%s_%s.log' % (ds, create_net, os.path.basename(dataset_path))),
            logging.StreamHandler(sys.stdout)
        ]
    )
    logging.info('start train')

import sys
import logging

from util import reducer_logfile
logging.basicConfig(filename=reducer_logfile, format='%(message)s',
                    level=logging.INFO, filemode='w')

这个例子应该可以正常工作。我已经为控制台添加了流处理器。控制台 日志和文件处理程序数据应该相似。

    # MUTHUKUMAR_TIME_DATE.py #>>>>>>>> file name(module)

    import sys
    import logging
    import logging.config
    # ================== Logger ================================
    def Logger(file_name):
        formatter = logging.Formatter(fmt='%(asctime)s %(module)s,line: %(lineno)d %(levelname)8s | %(message)s',
                                      datefmt='%Y/%m/%d %H:%M:%S') # %I:%M:%S %p AM|PM format
        logging.basicConfig(filename = '%s.log' %(file_name),format= '%(asctime)s %(module)s,line: %(lineno)d %(levelname)8s | %(message)s',
                                      datefmt='%Y/%m/%d %H:%M:%S', filemode = 'w', level = logging.INFO)
        log_obj = logging.getLogger()
        log_obj.setLevel(logging.DEBUG)
        # log_obj = logging.getLogger().addHandler(logging.StreamHandler())

        # console printer
        screen_handler = logging.StreamHandler(stream=sys.stdout) #stream=sys.stdout is similar to normal print
        screen_handler.setFormatter(formatter)
        logging.getLogger().addHandler(screen_handler)

        log_obj.info("Logger object created successfully..")
        return log_obj
    # =======================================================


MUTHUKUMAR_LOGGING_CHECK.py #>>>>>>>>>>> file name
# calling **Logger** function
file_name = 'muthu'
log_obj =Logger(file_name)
log_obj.info("yes   hfghghg ghgfh".format())
log_obj.critical("CRIC".format())
log_obj.error("ERR".format())
log_obj.warning("WARN".format())
log_obj.debug("debug".format())
log_obj.info("qwerty".format())
log_obj.info("asdfghjkl".format())
log_obj.info("zxcvbnm".format())
# closing file
log_obj.handlers.clear()

OUTPUT:
2019/07/13 23:54:40 MUTHUKUMAR_TIME_DATE,line: 17     INFO | Logger object created successfully..
2019/07/13 23:54:40 MUTHUKUMAR_LOGGING_CHECK,line: 8     INFO | yes   hfghghg ghgfh
2019/07/13 23:54:40 MUTHUKUMAR_LOGGING_CHECK,line: 9 CRITICAL | CRIC
2019/07/13 23:54:40 MUTHUKUMAR_LOGGING_CHECK,line: 10    ERROR | ERR
2019/07/13 23:54:40 MUTHUKUMAR_LOGGING_CHECK,line: 11  WARNING | WARN
2019/07/13 23:54:40 MUTHUKUMAR_LOGGING_CHECK,line: 12    DEBUG | debug
2019/07/13 23:54:40 MUTHUKUMAR_LOGGING_CHECK,line: 13     INFO | qwerty
2019/07/13 23:54:40 MUTHUKUMAR_LOGGING_CHECK,line: 14     INFO | asdfghjkl
2019/07/13 23:54:40 MUTHUKUMAR_LOGGING_CHECK,line: 15     INFO | zxcvbnm

Thanks, 

虽然这是一个老问题，但对于现在遇到这个问题的人来说，您也可以使用dictConfig。例如，对于info级别以上的文件:

logging.config.dictConfig({
    'version': 1,
    'formatters': {
        'default': {
            'format': '[%(asctime)s] %(message)s',
        }
    },
    'handlers': {
        'info': {
            'level': logging.INFO,
            'class': 'logging.FileHandler',
            'filename': 'info.log',
        },
    },
    "root": {
        "level": logging.INFO,
        "handlers": ["info"]
    }
})

或者另一个更具体的例子，在一个特定的目录下旋转文件:

today = datetime.date.today()
folder = './log'
Path(folder).mkdir(parents=True, exist_ok=False) # Create folder if not exists
logging.config.dictConfig({
        ...
        'info': {
            'level': logging.INFO,
            'class': 'logging.handlers.TimedRotatingFileHandler',
            'filename': f'{folder}/info-{today.month:02}-{today.year}.log',
            # Roll over on the first day of the weekday
            'when': 'W0',
            # Roll over at midnight
            'atTime': datetime.time(hour=0),
            # Number of files to keep.
            'backupCount': 8
        },
        ...