Spring boot通过AOP防止API重复请求代码实例

这篇文章主要介绍了Spring boot通过AOP防止API重复请求代码实例,文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下

实现思路

基于Spring Boot 2.x

自定义注解，用来标记是哪些API是需要监控是否重复请求

通过Spring AOP来切入到Controller层，进行监控

检验重复请求的Key：Token + ServletPath + SHA1RequestParas

• Token：用户登录时，生成的Token
• ServletPath：请求的Path
• SHA1RequestParas：将请求参数使用SHA-1散列算法加密

使用以上三个参数拼接的Key作为去判断是否重复请求

由于项目是基于集群的，使用Redis存储Key，而且redis的特性，key可以设定在规定时间内自动删除。这里的这个规定时间，就是api在规定时间内不能重复提交。

自定义注解（注解作用于Controller层的API）

 @Target(ElementType.METHOD)
 @Retention(RetentionPolicy.RUNTIME)
 public @interface NoRepeatSubmission {
 
 }

切面逻辑

import com.gotrade.apirepeatrequest.annotation.NoRepeatSubmission;
import com.gotrade.apirepeatrequest.common.JacksonSerializer;
import com.gotrade.apirepeatrequest.model.Result;
import lombok.extern.slf4j.Slf4j;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.reflect.MethodSignature;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Component;
import org.springframework.web.context.request.RequestContextHolder;
import org.springframework.web.context.request.ServletRequestAttributes;

import javax.servlet.http.HttpServletRequest;
import java.nio.charset.StandardCharsets;
import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException;
import java.util.Objects;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.TimeUnit;



@Slf4j
@Aspect
@Component
public class NoRepeatSubmissionAspect {

  @Autowired
  RedisTemplate redisTemplate;

  
  @Around("execution(public * com.gotrade.apirepeatrequest.controller..*.*(..)) && @annotation(ars)")
  public Object doAround(ProceedingJoinPoint pjp, NoRepeatSubmission ars) {
    ValueOperations opsForValue = redisTemplate.opsForValue();
    try {
      if (ars == null) {
 return pjp.proceed();
      }

      HttpServletRequest request = ((ServletRequestAttributes) Objects.requireNonNull(RequestContextHolder.getRequestAttributes())).getRequest();

      String token = request.getHeader("Token");
      if (!checkToken(token)) {
 return Result.failure("Token无效");
      }
      String servletPath = request.getServletPath();
      String jsonString = this.getRequestParasJSonString(pjp);
      String sha1 = this.generateSHA1(jsonString);

      // key = token + servlet path
      String key = token + "-" + servletPath + "-" + sha1;

      log.info("n{ntServlet Path: {}ntToken: {}ntJson String: {}ntSHA-1: {}ntResult Key: {} n}", servletPath, token, jsonString, sha1, key);

      // 如果Redis中有这个key, 则url视为重复请求
      if (opsForValue.get(key) == null) {
 Object o = pjp.proceed();
 opsForValue.set(key, String.valueOf(0), 3, TimeUnit.SECONDS);
 return o;
      } else {
 return Result.failure("请勿重复请求");
      }
    } catch (Throwable e) {
      e.printStackTrace();
      return Result.failure("验证重复请求时出现未知异常");
    }
  }

  
  private String getRequestParasJSonString(ProceedingJoinPoint pjp) {
    String[] parameterNames = ((MethodSignature) pjp.getSignature()).getParameterNames();
    ConcurrentHashMap args = null;

    if (Objects.nonNull(parameterNames)) {
      args = new ConcurrentHashMap<>(parameterNames.length);
      for (int i = 0; i < parameterNames.length; i++) {
 String value = pjp.getArgs()[i] != null ? pjp.getArgs()[i].toString() : "null";
 args.put(parameterNames[i], value);
      }
    }
    return JacksonSerializer.toJSonString(args);
  }

  private boolean checkToken(String token) {
    if (token == null || token.isEmpty()) {
      return false;
    }
    return true;
  }

  private String generateSHA1(String str){
    if (null == str || 0 == str.length()){
      return null;
    }
    char[] hexDigits = { '0', '1', '2', '3', '4', '5', '6', '7', '8', '9',
 'a', 'b', 'c', 'd', 'e', 'f'};
    try {
      MessageDigest mdTemp = MessageDigest.getInstance("SHA1");
      mdTemp.update(str.getBytes(StandardCharsets.UTF_8));

      byte[] md = mdTemp.digest();
      int j = md.length;
      char[] buf = new char[j * 2];
      int k = 0;
      for (int i = 0; i < j; i++) {
 byte byte0 = md[i];
 buf[k++] = hexDigits[byte0 >>> 4 & 0xf];
 buf[k++] = hexDigits[byte0 & 0xf];
      }
      return new String(buf);
    } catch (NoSuchAlgorithmException e) {
      e.printStackTrace();
    }
    return null;
  }
}

切面主要逻辑代码，就是获取request中相关的信息，然后再拼接成一个key；判断在redis是否存在，不存在就添加并设置规定时间后自动移除，存在就是重复请求 。

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持考高分网。