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
摘自“伐木食谱”:
# create logger with 'spam_application'
logger = logging.getLogger('spam_application')
logger.setLevel(logging.DEBUG)
# create file handler which logs even debug messages
fh = logging.FileHandler('spam.log')
fh.setLevel(logging.DEBUG)
logger.addHandler(fh)
你可以开始了。
附注:一定要阅读日志指南。
其他回答
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))
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。
http://docs.python.org/library/logging.html#logging.basicConfig
logging.basicConfig(filename='/path/to/your/log', level=....)
摘自“伐木食谱”:
# create logger with 'spam_application'
logger = logging.getLogger('spam_application')
logger.setLevel(logging.DEBUG)
# create file handler which logs even debug messages
fh = logging.FileHandler('spam.log')
fh.setLevel(logging.DEBUG)
logger.addHandler(fh)
你可以开始了。
附注:一定要阅读日志指南。
import logging
from datetime import datetime
filename = datetime.now().strftime("%d-%m-%Y %H-%M-%S")#Setting the filename from current date and time
logging.basicConfig(filename=filename, filemode='a',
format="%(asctime)s, %(msecs)d %(name)s %(levelname)s [ %(filename)s-%(module)s-%(lineno)d ] : %(message)s",
datefmt="%H:%M:%S",
level=logging.DEBUG)
asctime %(asctime)s Human-readable time when the LogRecord was created. By default this is of the form ‘2003-07-08 16:49:45,896’ (the numbers after the comma are millisecond portion of the time). created %(created)f Time when the LogRecord was created (as returned by time.time()). exc_info You shouldn’t need to format this yourself. Exception tuple (à la sys.exc_info) or, if no exception has occurred, None. filename %(filename)s Filename portion of pathname. funcName %(funcName)s Name of function containing the logging call. levelname %(levelname)s Text logging level for the message ('DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'). levelno %(levelno)s Numeric logging level for the message (DEBUG, INFO, WARNING, ERROR, CRITICAL). lineno %(lineno)d Source line number where the logging call was issued (if available). message %(message)s The logged message, computed as msg % args. This is set when Formatter.format() is invoked. module %(module)s Module (name portion of filename). msecs %(msecs)d Millisecond portion of the time when the LogRecord was created. msg You shouldn’t need to format this yourself. The format string passed in the original logging call. Merged with args to produce message, or an arbitrary object (see Using arbitrary objects as messages). name %(name)s Name of the logger used to log the call. pathname %(pathname)s Full pathname of the source file where the logging call was issued (if available). process %(process)d Process ID (if available). processName %(processName)s Process name (if available). relativeCreated %(relativeCreated)d Time in milliseconds when the LogRecord was created, relative to the time the logging module was loaded. stack_info You shouldn’t need to format this yourself. Stack frame information (where available) from the bottom of the stack in the current thread, up to and including the stack frame of the logging call which resulted in the creation of this record. thread %(thread)d Thread ID (if available). threadName %(threadName)s Thread name (if available).
有关日志记录的更多信息,请转到python3官方页面。
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