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(msg) ...
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 ...
logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.DEBUG) logging.debug('This message should appear on the console') logging.info('So should this') logging.warning('And this, too') 输出结果: DEBUG:This message should appear on the console INFO:So should this WARNING:An...
1importlogging23logger = logging.getLogger(__name__)4logger.setLevel(logging.INFO)56#create a file handler78handler = logging.FileHandler('hello.log')9handler.setLevel(logging.INFO)1011#create a logging format1213formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(m...
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): ...
(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...