如何使用Python中的日志记录模块写入文件?每次我尝试使用它,它就会打印出信息。
当前回答
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')
其他回答
http://docs.python.org/library/logging.handlers.html#filehandler
FileHandler类位于核心日志包中,它将日志输出发送到磁盘文件。
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))
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
},
...
我更喜欢使用配置文件。它允许我在从开发到发布的过程中切换日志级别、位置等,而无需更改代码。我只是用相同的名称打包了一个不同的配置文件,并定义了相同的记录器。
import logging.config
if __name__ == '__main__':
# Configure the logger
# loggerConfigFileName: The name and path of your configuration file
logging.config.fileConfig(path.normpath(loggerConfigFileName))
# Create the logger
# Admin_Client: The name of a logger defined in the config file
mylogger = logging.getLogger('Admin_Client')
msg='Bite Me'
myLogger.debug(msg)
myLogger.info(msg)
myLogger.warn(msg)
myLogger.error(msg)
myLogger.critical(msg)
# Shut down the logger
logging.shutdown()
下面是日志配置文件的代码
#These are the loggers that are available from the code
#Each logger requires a handler, but can have more than one
[loggers]
keys=root,Admin_Client
#Each handler requires a single formatter
[handlers]
keys=fileHandler, consoleHandler
[formatters]
keys=logFormatter, consoleFormatter
[logger_root]
level=DEBUG
handlers=fileHandler
[logger_Admin_Client]
level=DEBUG
handlers=fileHandler, consoleHandler
qualname=Admin_Client
#propagate=0 Does not pass messages to ancestor loggers(root)
propagate=0
# Do not use a console logger when running scripts from a bat file without a console
# because it hangs!
[handler_consoleHandler]
class=StreamHandler
level=DEBUG
formatter=consoleFormatter
args=(sys.stdout,)# The comma is correct, because the parser is looking for args
[handler_fileHandler]
class=FileHandler
level=DEBUG
formatter=logFormatter
# This causes a new file to be created for each script
# Change time.strftime("%Y%m%d%H%M%S") to time.strftime("%Y%m%d")
# And only one log per day will be created. All messages will be amended to it.
args=("D:\\Logs\\PyLogs\\" + time.strftime("%Y%m%d%H%M%S")+'.log', 'a')
[formatter_logFormatter]
#name is the name of the logger root or Admin_Client
#levelname is the log message level debug, warn, ect
#lineno is the line number from where the call to log is made
#04d is simple formatting to ensure there are four numeric places with leading zeros
#4s would work as well, but would simply pad the string with leading spaces, right justify
#-4s would work as well, but would simply pad the string with trailing spaces, left justify
#filename is the file name from where the call to log is made
#funcName is the method name from where the call to log is made
#format=%(asctime)s | %(lineno)d | %(message)s
#format=%(asctime)s | %(name)s | %(levelname)s | %(message)s
#format=%(asctime)s | %(name)s | %(module)s-%(lineno) | %(levelname)s | %(message)s
#format=%(asctime)s | %(name)s | %(module)s-%(lineno)04d | %(levelname)s | %(message)s
#format=%(asctime)s | %(name)s | %(module)s-%(lineno)4s | %(levelname)-8s | %(message)s
format=%(asctime)s | %(levelname)-8s | %(lineno)04d | %(message)s
#Use a separate formatter for the console if you want
[formatter_consoleFormatter]
format=%(asctime)s | %(levelname)-8s | %(filename)s-%(funcName)s-%(lineno)04d | %(message)s
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