Nestjs使用log4j打印日志

众所周知，nest是自带日志的。但是好像没有log4j香，所以咱们来用log4j吧~

我只演示最简单的用法，用具体怎么样用大家可以自己进行封装。就像前端封装自己的请求一样。

一、安装

yarn add log4js stacktrace-js

二、使用

主要就三个文件：配置log4j文件、中间件文件、main.ts

配置log4j文件：src/utils/log4j.ts

javascript 复制代码

import * as Path from 'path';
import * as Log4js from 'log4js';
import * as Util from 'util';
import * as Moment from 'moment'; // 处理时间的工具
import * as StackTrace from 'stacktrace-js';
import Chalk from 'chalk';
import config from '../config/log4js';

// 日志级别
export enum LoggerLevel {
  ALL = 'ALL',
  MARK = 'MARK',
  TRACE = 'TRACE',
  DEBUG = 'DEBUG',
  INFO = 'INFO',
  WARN = 'WARN',
  ERROR = 'ERROR',
  FATAL = 'FATAL',
  OFF = 'OFF',
}

// 内容跟踪类
export class ContextTrace {
  constructor(
    public readonly context: string,
    public readonly path?: string,
    public readonly lineNumber?: number,
    public readonly columnNumber?: number,
  ) {}
}

Log4js.addLayout('Awesome-nest', (logConfig: any) => {
  return (logEvent: Log4js.LoggingEvent): string => {
    let moduleName = '';
    let position = '';

    // 日志组装
    const messageList: string[] = [];
    logEvent.data.forEach((value: any) => {
      if (value instanceof ContextTrace) {
        moduleName = value.context;
        // 显示触发日志的坐标（行，列）
        if (value.lineNumber && value.columnNumber) {
          position = `${value.lineNumber}, ${value.columnNumber}`;
        }
        return;
      }

      if (typeof value !== 'string') {
        value = Util.inspect(value, false, 3, true);
      }

      messageList.push(value);
    });

    // 日志组成部分
    const messageOutput: string = messageList.join(' ');
    const positionOutput: string = position ? ` [${position}]` : '';
    const typeOutput = `[${logConfig.type}] ${logEvent.pid.toString()}   - `;
    const dateOutput = `${Moment(logEvent.startTime).format(
      'YYYY-MM-DD HH:mm:ss',
    )}`;
    const moduleOutput: string = moduleName
      ? `[${moduleName}] `
      : '[LoggerService] ';
    let levelOutput = `[${logEvent.level}] ${messageOutput}`;

    // 根据日志级别，用不同颜色区分
    switch (logEvent.level.toString()) {
      case LoggerLevel.DEBUG:
        levelOutput = Chalk.green(levelOutput);
        break;
      case LoggerLevel.INFO:
        levelOutput = Chalk.cyan(levelOutput);
        break;
      case LoggerLevel.WARN:
        levelOutput = Chalk.yellow(levelOutput);
        break;
      case LoggerLevel.ERROR:
        levelOutput = Chalk.red(levelOutput);
        break;
      case LoggerLevel.FATAL:
        levelOutput = Chalk.hex('#DD4C35')(levelOutput);
        break;
      default:
        levelOutput = Chalk.grey(levelOutput);
        break;
    }

    return `${Chalk.green(typeOutput)}${dateOutput}  ${Chalk.yellow(
      moduleOutput,
    )}${levelOutput}${positionOutput}`;
  };
});

// 注入配置
Log4js.configure(config);

// 实例化
const logger = Log4js.getLogger();
logger.level = LoggerLevel.TRACE;

export class Logger {
  static trace(...args) {
    logger.trace(Logger.getStackTrace(), ...args);
  }

  static debug(...args) {
    logger.debug(Logger.getStackTrace(), ...args);
  }

  static log(...args) {
    logger.info(Logger.getStackTrace(), ...args);
  }

  static info(...args) {
    logger.info(Logger.getStackTrace(), ...args);
  }

  static warn(...args) {
    logger.warn(Logger.getStackTrace(), ...args);
  }

  static warning(...args) {
    logger.warn(Logger.getStackTrace(), ...args);
  }

  static error(...args) {
    logger.error(Logger.getStackTrace(), ...args);
  }

  static fatal(...args) {
    logger.fatal(Logger.getStackTrace(), ...args);
  }

  static access(...args) {
    const loggerCustom = Log4js.getLogger('http');
    loggerCustom.info(Logger.getStackTrace(), ...args);
  }

  // 日志追踪，可以追溯到哪个文件、第几行第几列
  static getStackTrace(deep = 2): string {
    const stackList: StackTrace.StackFrame[] = StackTrace.getSync();
    const stackInfo: StackTrace.StackFrame = stackList[deep];

    const lineNumber: number = stackInfo.lineNumber;
    const columnNumber: number = stackInfo.columnNumber;
    const fileName: string = stackInfo.fileName;
    const basename: string = Path.basename(fileName);
    return `${basename}(line: ${lineNumber}, column: ${columnNumber}): \n`;
  }
}

中间件文件：src/middleware/logger.middleware.ts

javascript 复制代码

import { Request, Response } from 'express';
import { Logger } from '../utils/log4js';

// 函数式中间件
export function logger(req: Request, res: Response, next: () => any) {
  const code = res.statusCode; // 响应状态码
  next();
  // 组装日志信息
  const logFormat = ` >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
    请求参数
    Request original url: ${req.originalUrl}
    Method: ${req.method}
    IP: ${req.ip}
    Status code: ${code}
    Parmas: ${JSON.stringify(req.params)}
    Query: ${JSON.stringify(req.query)}
    Body: ${JSON.stringify(
      req.body,
    )} \n  >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
  `;
  // 根据状态码，进行日志类型区分
  if (code >= 500) {
    Logger.error(logFormat);
  } else if (code >= 400) {
    Logger.warn(logFormat);
  } else {
    Logger.access(logFormat);
    Logger.log(logFormat);
  }
}

main.ts

javascript 复制代码

import { logger } from './middleware/logger.middleware';

async function bootstrap() {
    const app = await NestFactory.create(AppModule, { logger: console });
    app.use(logger);
}
bootstrap();

然后就可以记录日志辣~稍微详细一点的可以参考这位老哥的：https://blog.csdn.net/fwzzzzz/article/details/116160816