importloggingimporttimeimportosclassLogger:def__init__(self, logger_name):# 创建一个loggerself.logger = logging.getLogger(logger_name) self.logger.setLevel(logging.DEBUG)# 需要记录的日志级别basedir = os.path.abspath(os.path.dirname(__file__)) log_path = os.path.join(basedir,'logs', time.s...
logger.addHandler(stream_handler)# 输出到文件ifLOG_ENABLEDandLOG_TO_FILE:# 如果路径不存在,创建日志文件文件夹log_dir = dirname(log_path)ifnotexists(log_dir): makedirs(log_dir)# 添加 FileHandlerfile_handler = logging.FileHandler(log_path, encoding='utf-8') file_handler.setLevel(level=LOG_LEV...
logger = logging.getLogger('simple_example') logger.setLevel(logging.DEBUG) # create console handler and set level to debug ch = logging.StreamHandler() ch.setLevel(logging.DEBUG) # create formatter formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') #...
from loggingimporthandlersclassLogger(object):level_relations={'debug':logging.DEBUG,'info':logging.INFO,'warning':logging.WARNING,'error':logging.ERROR,'crit':logging.CRITICAL}#日志级别关系映射 def__init__(self,filename,level='info',when='D',backCount=15,\ fmt='%(asctime)s - %(levelname...
logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) # Create a file handler file_handler = logging.FileHandler('my_log.log') logger.addHandler(file_handler) # Create a console handler console_handler = logging.StreamHandler() ...
logger.setLevel(logging.INFO)file_handler=logging.FileHandler()file_handler.setLevel(logging.ERROR)console_handler=logging.StreamHandler()console_handler.setLevel(logging.WARNING) 由于日志记录器的级别被设置为INFO,它只向两个处理程序发送级别为INFO或更高的日志消息,但每个处理程序只处理达到或超过其指定日志级别...
loggers= {} LOG_ENABLED= True# 是否开启日志 LOG_TO_CONSOLE= True# 是否输出到控制台 LOG_TO_FILE= True# 是否输出到文件 LOG_TO_ES= True# 是否输出到 Elasticsearch LOG_PATH= './runtime.log'# 日志文件路径 LOG_LEVEL= 'DEBUG'# 日志级别 ...
# create logger logger = logging.getLogger('simple_example') logger.setLevel(logging.DEBUG) # create console handler and set level to debug ch = logging.StreamHandler() ch.setLevel(logging.DEBUG) # create formatter formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - ...
使用基本的 add() 方法就可以对 logger 进行简单的配置,这些配置有点类似于使用 logging 时的 handler。这里简单提及一下比较常用的几个。 写入文件 在不指定任何参数时,logger 默认采用 sys.stderr 标准错误输出将日志输出到控制台(console)中;但在linux服务器上我们有时不仅让其输出,还要以文件的形式进行留存,那...
They're now simply added to the pipeline queue again and they will be processed once again. The initial sync --- To get a feeling of File Conveyor's speed, you may want to run it in the console and look at its output. Verifying the synced files --- Running the verify.py script wi...