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') #...
logger.setLevel(logging.DEBUG),Logging 中有 NOTSET < DEBUG < INFO < WARNING < ERROR < CRITICAL这几种级别,日志会记录设置级别以上的日志 多次使用相同的name调用 getLogger 方法返回同一个 looger 对象; Logger是一个树形层级结构,在使用接口 debug,info,warn,error,critical 之前必须创建 Logger 实例: 创建...
importlogging# 配置日志系统logging.basicConfig(level=logging.DEBUG,format='%(asctime)s-%(levelname)...
setLevel(logging.DEBUG) ch.setFormatter(ch_formatter) logger.addHandler(ch) # 写一些输出试试 log...
importlogging# create loggerlogger = logging.getLogger('simple_example') logger.setLevel(logging.DEBUG)# create console handler and set level to debugch = logging.StreamHandler() ch.setLevel(logging.DEBUG)# create formatterformatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s ...
logger.setLevel(logging.DEBUG) # create console handler and set level to debug ch = logging.StreamHandler() ch.setLevel(logging.DEBUG) # create file handler and set level to warning fh = logging.FileHandler("access.log") fh.setLevel(logging.WARNING) # create formatter formatter = logging.Forma...
除了在控制台输出日志信息,logging模块还允许将日志记录到文件中。我们可以通过配置FileHandler来实现: 代码语言:python 代码运行次数:0 运行 AI代码解释 file_handler=logging.FileHandler('logfile.log')file_handler.setLevel(logging.DEBUG)file_handler.setFormatter(logging.Formatter('%(asctime)s - %(levelname)...
LOGGING_TO_CONSOLE = True # 日志输出到控制台 LOGGING_WHEN = 'D' # 日志文件切分维度 LOGGING_INTERVAL = 1 # 间隔少个 when 后,自动重建文件 LOGGING_BACKUP_COUNT = 15 # 日志保留个数,0 保留所有日志 LOGGING_LEVEL = logging.DEBUG # 日志等级 ...
# Acquire the logger for a library (azure.mgmt.resource in this example) logger = logging.getLogger('azure.mgmt.resource') # Set the desired logging level logger.setLevel(logging.DEBUG) 此示例获取 azure.mgmt.resource 库的记录器,然后将日志记录级别设置为 logging.DEBUG。 你可以随时调用 logger....