日志处理工具

解决方法：

1. 使用Python的logging模块

import logging

# 配置日志输出格式和级别
logging.basicConfig(filename='app.log', level=logging.INFO, 
                    format='%(asctime)s - %(levelname)s - %(message)s')

# 记录日志
logging.debug('This is a debug message')
logging.info('This is an info message')
logging.warning('This is a warning message')
logging.error('This is an error message')
logging.critical('This is a critical message')

2. 使用第三方库loguru

from loguru import logger

# 配置日志输出格式和级别
logger.add("app.log", level="INFO", format="{time} - {level} - {message}")

# 记录日志
logger.debug('This is a debug message')
logger.info('This is an info message')
logger.warning('This is a warning message')
logger.error('This is an error message')
logger.critical('This is a critical message')

3. 使用Java的日志工具log4j

import org.apache.log4j.Logger;

public class App {
    private static final Logger logger = Logger.getLogger(App.class);

    public static void main(String[] args) {
        // 配置日志输出格式和级别
        PropertyConfigurator.configure("log4j.properties");

        // 记录日志
        logger.debug("This is a debug message");
        logger.info("This is an info message");
        logger.warn("This is a warning message");
        logger.error("This is an error message");
        logger.fatal("This is a fatal message");
    }
}

4. 使用Node.js的日志库winston

const winston = require('winston');

// 配置日志输出格式和级别
const logger = winston.createLogger({
    transports: [
        new winston.transports.File({ filename: 'app.log', level: 'info' })
    ],
    format: winston.format.combine(
        winston.format.timestamp(),
        winston.format.printf(info => `${info.timestamp} - ${info.level} - ${info.message}`)
    )
});

// 记录日志
logger.debug('This is a debug message');
logger.info('This is an info message');
logger.warn('This is a warning message');
logger.error('This is an error message');
logger.log('critical', 'This is a critical message');

以上是几种常见的日志处理工具和代码示例，根据具体的需求和编程语言选择合适的工具进行日志处理。