SpringBoot作日志切面记录

目录

1.WebLogAspect

2.配置log4j2.yml

3.效果

话不多说，直接上代码： 

1.WebLogAspect

import java.util.Arrays;

import javax.servlet.http.HttpServletRequest;

import org.apache.commons.lang3.StringUtils;
import org.apache.commons.text.StringEscapeUtils;
import org.apache.commons.text.translate.AggregateTranslator;
import org.apache.commons.text.translate.CharSequenceTranslator;
import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.annotation.AfterReturning;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Before;
import org.aspectj.lang.annotation.Pointcut;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.web.context.request.RequestContextHolder;
import org.springframework.web.context.request.ServletRequestAttributes;

@Aspect
@Component
public class WebLogAspect {

    private final Logger logger = LoggerFactory.getLogger(this.getClass());

    @Autowired
    private ObjectMapper objectMapper;

    ThreadLocal<Long> startTime = new ThreadLocal<>();

    @Pointcut("execution(public * com.example.controller.*.*(..))")
    public void webLog() {
    }

    @Before("webLog()")
    public void doBefore(JoinPoint joinPoint) throws Throwable {
        // 获取当前Http请求
        ServletRequestAttributes attributes = (ServletRequestAttributes) RequestContextHolder.getRequestAttributes();
        HttpServletRequest request = attributes.getRequest();

        // 记录请求内容
        logger.info("URL：{}", request.getRequestURL().toString());
        logger.info("HTTP_METHOD：{}", request.getMethod());
        logger.info("IP：{}", request.getRemoteAddr());

        String params = StringUtils.EMPTY;
        Object[] args = joinPoint.getArgs();
        if (args.length > 0) {
            // 格式化参数，防止出现特殊字符
            CharSequenceTranslator translator = new AggregateTranslator(
                    new CharSequenceTranslator[] { new LookupTranslator(EntityArrays.BASIC_ESCAPE()),
                            new LookupTranslator(EntityArrays.ISO8859_1_ESCAPE()),
                            new LookupTranslator(EntityArrays.HTML40_EXTENDED_ESCAPE()) });
            params = objectMapper.writeValueAsString(translator.translate(String.valueOf(args[0])));
        }
        logger.info("PARAMS：{}", params);

        startTime.set(System.currentTimeMillis());
    }

    @AfterReturning(returning = "ret", pointcut = "webLog()")
    public void doAfterReturning(Object ret) throws Throwable {
        // 处理完请求，返回内容
        logger.info("RESPONSE：{}", objectMapper.writeValueAsString(ret));
        logger.info("SPEND TIME：{}ms", System.currentTimeMillis() - startTime.get());
    }

}

        在上面的代码示例中，我们定义了一个WebLogAspect切面，并通过@Pointcut注解指定了切点为所有com.example.controller包下的公共方法。在切面中，我们使用了@Before注解来记录请求信息，在HttpServletRequest对象中获取请求URL、请求方法和远程IP地址等信息，并使用ObjectMapper将方法参数序列化为JSON字符串。同时，我们使用了@AfterReturning注解来记录响应信息和请求处理时长。

        注意：（1）@Pointcut那部分导入的Controller是自己路径下的，记得修改

                   （2）相关依赖自行查找导入，这里不再赘述

        部分依赖示例：

		<!--AspectJ 开始-->
		<dependency>
			<groupId>org.springframework</groupId>
			<artifactId>spring-aspects</artifactId>
			<version>5.3.19</version>
		</dependency>

		<dependency>
			<groupId>org.aspectj</groupId>
			<artifactId>aspectjtools</artifactId>
			<version>1.9.5</version>
		</dependency>

		<dependency>
			<groupId>aopalliance</groupId>
			<artifactId>aopalliance</artifactId>
			<version>1.0</version>
		</dependency>

		<dependency>
			<groupId>org.aspectj</groupId>
			<artifactId>aspectjweaver</artifactId>
			<version>1.9.0</version>
		</dependency>

		<dependency>
			<groupId>cglib</groupId>
			<artifactId>cglib</artifactId>
			<version>3.3.0</version>
		</dependency>
		<!--AspectJ 结束-->

		<dependency>
			<groupId>org.apache.commons</groupId>
			<artifactId>commons-text</artifactId>
			<version>1.9</version>
		</dependency>

2.配置log4j2.yml

        这里我们需要用到相关依赖如下：

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter</artifactId>
    <exclusions>
        <exclusion>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-logging</artifactId>
        </exclusion>
    </exclusions>
</dependency>


<!-- 包含 mvc,aop 等jar资源 -->
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-web</artifactId>
    <exclusions>
        <!-- 切换log4j2日志读取 -->
        <exclusion>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-logging</artifactId>
        </exclusion>
    </exclusions>
</dependency>


<!-- 配置 log4j2 -->
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-log4j2</artifactId>
</dependency>
<!-- 加上这个才能辨认到log4j2.yml文件 -->
<dependency>
    <groupId>com.fasterxml.jackson.dataformat</groupId>
    <artifactId>jackson-dataformat-yaml</artifactId>
</dependency>

        在Resource目录下创建log4j2.yml文件：

# 共有8个级别，按照从低到高为：ALL < TRACE < DEBUG < INFO < WARN < ERROR < FATAL < OFF。
# intLevel值依次为0,100,200,300,400,500,600,700
# intLevel 值越小，级别越高
Configuration:
  #日志框架本身的输出日志级别
  status: WARN
  #自动加载配置文件的间隔时间，不低于5秒
  monitorInterval: 5

  Properties: # 定义全局变量
    Property: # 缺省配置（用于开发环境）。其他环境需要在VM参数中指定，如下：
      #测试：-Dlog.level.console=warn -Dlog.level.xjj=trace
      #生产：-Dlog.level.console=warn -Dlog.level.xjj=info
      - name: log.level.console
        value: info
      - name: log.path
        value: ./${project.name}_log
      - name: project.name
        value: daily
      - name: log.pattern
        value: "%d{yyyy-MM-dd HH:mm:ss.SSS} -%5p ${PID:-} [%15.15t] %-30.30C{1.} : %m%n"

  Appenders:
    Console:  #输出到控制台
      name: CONSOLE
      target: SYSTEM_OUT
      PatternLayout:   #日志消息格式
        pattern: ${log.pattern}
    #   启动日志
    RollingFile:
      - name: ROLLING_FILE
        fileName: ${log.path}/daily/${project.name}.log        #输出文件的地址
        filePattern: "${log.path}/daily/$${date:yyyy-MM-dd}/${project.name}-%d{yyyy-MM-dd}-%i.log.gz"   #文件生成规则
        PatternLayout:
          pattern: ${log.pattern}
        Filters:
          #  一定要先去除不接受的日志级别，然后获取需要接受的日志级别
          ThresholdFilter:   # 日志级别过滤器
            - level: error   # 日志级别
              onMatch: DENY  # 高于的拒绝
              onMismatch: NEUTRAL  # 低于的
            - level: info
              onMatch: ACCEPT
              onMismatch: DENY
        Policies:
          SizeBasedTriggeringPolicy: # 日志拆分规则
            size: "10MB"
          TimeBasedTriggeringPolicy:  # 按天分类
            modulate: true
            interval: 1
        DefaultRolloverStrategy:     # 单目录下，文件最多20个，超过会删除最早之前的
          max: 20
      #   错误日志
      - name: EXCEPTION_ROLLING_FILE
        ignoreExceptions: false
        fileName: ${log.path}/exception/${project.name}_exception.log
        filePattern: "${log.path}/exception/$${date:yyyy-MM-dd}/${project.name}-%d{yyyy-MM-dd}-%i.log.gz"
        ThresholdFilter:
          level: error
          #onMatch="ACCEPT" 匹配该级别及以上
          #onMatch="DENY"  不匹配该级别及以上
          #onMismatch="ACCEPT"  表示匹配该级别以下的级别
          #onMismatch="DENY"  不表示匹配该级别以下的级别
          onMatch: ACCEPT
          onMismatch: DENY
        PatternLayout:
          pattern: ${log.pattern}
        Policies:
          SizeBasedTriggeringPolicy: # 日志拆分规则
            size: "10MB"
          TimeBasedTriggeringPolicy:  # 按天分类
            modulate: true
            interval: 1
        DefaultRolloverStrategy:     # 文件最多100个
          max: 100
      # 警告日志
      - name: WARN_ROLLING_FILE
        ignoreExceptions: false
        fileName: ${log.path}/warn/${project.name}_warn.log
        filePattern: "${log.path}/warn/$${date:yyyy-MM-dd-dd}/${project.name}-%d{yyyy-MM-dd}-%i.log.gz"
        ThresholdFilter:
          level: warn
          #onMatch="ACCEPT" 匹配该级别及以上
          #onMatch="DENY"  不匹配该级别及以上
          #onMismatch="ACCEPT"  表示匹配该级别以下的级别
          #onMismatch="DENY"  不表示匹配该级别以下的级别
          onMatch: ACCEPT
          onMismatch: DENY
        PatternLayout:
          pattern: ${log.pattern}
        Policies:
          SizeBasedTriggeringPolicy: # 日志拆分规则
            size: "10MB"
          TimeBasedTriggeringPolicy:  # 按天分类
            modulate: true
            interval: 1
        DefaultRolloverStrategy:     # 文件最多100个
          max: 20
      # 用户行为日志
      - name: ROLLING_FILE_USER
        fileName: ${log.path}/user/user-${project.name}.log
        filePattern: "${log.path}/user/$${date:yyyy-MM-dd}/user-${project.name}-%d{yyyy-MM-dd}-%i.log.gz"
        PatternLayout:
          pattern: ${log.pattern}
        Filters:
          #        一定要先去除不接受的日志级别，然后获取需要接受的日志级别
          ThresholdFilter:
            - level: error
              onMatch: DENY
              onMismatch: NEUTRAL
              #onMismatch:NEUTRAL 交给下一个filter处理
            - level: info
              onMatch: ACCEPT
              onMismatch: DENY
        Policies:
          SizeBasedTriggeringPolicy: # 日志拆分规则
            size: "10MB"
          TimeBasedTriggeringPolicy:  # 按天分类
            modulate: true
            interval: 1
        DefaultRolloverStrategy:     # 文件最多100个
          max: 100

  Loggers:
    Root:
      # 共有8个级别，按照从低到高为：ALL < TRACE < DEBUG < INFO < WARN < ERROR < FATAL < OFF  选择all则输出全部的日志
      level: info
      AppenderRef:
        - ref: CONSOLE
        - ref: ROLLING_FILE
        - ref: EXCEPTION_ROLLING_FILE
        - ref: WARN_ROLLING_FILE
    Logger:
      - name: exception
        level: debug
        additivity: true  #追加
        AppenderRef:
          - ref: EXCEPTION_ROLLING_FILE

      #监听具体包下面的日志
      #    Logger: # 为com.xjj包配置特殊的Log级别，方便调试
      - name: com.example.aspect
        additivity: false
        level: info
        AppenderRef:
          - ref: CONSOLE
          - ref: ROLLING_FILE_USER

        在application.yml中引入：

logging:
  config: classpath:log4j2.yml

3.效果

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