python 通过logging写入日志到文件和控制台的实例

(编辑:jimmy 日期: 2024/9/28 浏览:2)

如下所示:

import logging 
 
# 创建一个logger 
logger = logging.getLogger('mylogger') 
logger.setLevel(logging.DEBUG) 
 
# 创建一个handler,用于写入日志文件 
fh = logging.FileHandler('test.log') 
fh.setLevel(logging.DEBUG) 
 
# 再创建一个handler,用于输出到控制台 
ch = logging.StreamHandler() 
ch.setLevel(logging.DEBUG) 
 
# 定义handler的输出格式 
formatter = logging.Formatter('[%(asctime)s][%(thread)d][%(filename)s][line: %(lineno)d][%(levelname)s] ## %(message)s')
fh.setFormatter(formatter) 
ch.setFormatter(formatter) 
 
# 给logger添加handler 
logger.addHandler(fh) 
logger.addHandler(ch) 
 
# 记录一条日志 
logger.info('foorbar') 

关于formatter的配置,采用的是%(<dict key>)s的形式,就是字典的关键字替换。提供的关键字包括:

Format Description %(name)s Name of the logger (logging channel). %(levelno)s Numeric logging level for the message (DEBUG, INFO, WARNING, ERROR, CRITICAL). %(levelname)s Text logging level for the message ('DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'). %(pathname)s Full pathname of the source file where the logging call was issued (if available). %(filename)s Filename portion of pathname. %(module)s Module (name portion of filename). %(funcName)s Name of function containing the logging call. %(lineno)d Source line number where the logging call was issued (if available). %(created)f Time when the LogRecord was created (as returned by time.time()). %(relativeCreated)d Time in milliseconds when the LogRecord was created, relative to the time the logging module was loaded. %(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). %(msecs)d Millisecond portion of the time when the LogRecord was created. %(thread)d Thread ID (if available). %(threadName)s Thread name (if available). %(process)d Process ID (if available). %(message)s The logged message, computed as msg % args.

以上这篇python 通过logging写入日志到文件和控制台的实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持。

一句话新闻

微软与英特尔等合作伙伴联合定义“AI PC”:键盘需配有Copilot物理按键
几个月来,英特尔、微软、AMD和其它厂商都在共同推动“AI PC”的想法,朝着更多的AI功能迈进。在近日,英特尔在台北举行的开发者活动中,也宣布了关于AI PC加速计划、新的PC开发者计划和独立硬件供应商计划。
在此次发布会上,英特尔还发布了全新的全新的酷睿Ultra Meteor Lake NUC开发套件,以及联合微软等合作伙伴联合定义“AI PC”的定义标准。