使用 import logging import logging.config as log_config # 读取日志配置文件 log_config.fileConfig("conf/logging.conf", encoding="utf8") # 选择配置在[loggers]中的选项 logger = logging.getLogger("fileAndConsole") logger.info("hello")发布于 2024-01-13 21:47・北京 ...
456710 为了调试方便,特意将python的logging模块封装了一下,支持同时向console和file输出,支持日志文件回滚。 (1)myloggingconfig.py View Code (2)具体使用方法 importlogging logger = logging.getLogger(__name__) if__name__=="__main__": importmyloggingconfig msg = “thisisjust a test” logger.info...
logging.warning('Watch out!') # will print a message to the console logging.info('I told you so') # will not print anything 1.2 将日志写入到一个文件中 import logging import os os.chdir("./") # 日志写入地址 logging.basicConfig(filename='example.log', level=logging.DEBUG) # 注意:上面...
1importlogging.config23#'读取日志配置文件'4logging.config.fileConfig('logging.conf')56#创建一个日志器logger7logger = logging.getLogger('fileAndConsole')8logger.debug('debug')9logger.info('info')10logger.warning('warn')11logger.error('error')12logger.critical('critical') 3、打印错误信息 1a =...
import logging # 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 - %(lev...
'class': 'logging.NullHandler', }, 'console': { 'level': 'DEBUG', 'class': 'logging.StreamHandler', 'formatter': 'verbose' }, 'file': { 'level': 'DEBUG', 'class': 'logging.RotatingFileHandler', # 当达到10MB时分割日志 'maxBytes': 1024 * 1024 * 10, ...
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...
(ztp_info, log_type): """ ZTP log printing mode: console port log printing and logging log printing """ log_info_dict.get(log_type)(ztp_info) # log_level = log_type.upper() # slog.terminal.write(f"\n{log_level}:{ztp_info}", None, fgrd = True) def cli_operation(func): ...
import logging def main(req): logging.info('Python HTTP trigger function processed a request.') More logging methods are available that let you write to the console at different trace levels: Expand table MethodDescription critical(_message_) Writes a message with level CRITICAL on the root...
(ztp_info, log_type): """ ZTP log printing mode: console port log printing and logging log printing """ log_info_dict.get(log_type)(ztp_info) # log_level = log_type.upper() # slog.terminal.write(f"\n{log_level}:{ztp_info}", None, fgrd = True) def cli_operation(func): ...