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 根据解析token的两个方法进行统计

重点：springRedis、HyperLogLog

@Aspect@Component@Slf4jpublic class RpcLogAspect {    @Resource    private RedisTemplate redisTemplate;     /**     * 统计用户UV     * @param jp     * @param rvt     */    @AfterReturning(returning="rvt", pointcut="execution(* com.liwen.user.dubbo.UserAuthenticationProvider.verifyAccessToken(..)) || execution(* com.liwen.user.dubbo.UserAuthenticationProvider.getUserIdByToken(..)) ")    public void loginRecord(JoinPoint jp,Object rvt) {        if(rvt == null){            return;        }        try {            String time = DateTimeUtils.dateToStr(new Date(), DateTimeUtils.FORMAT_DEFAULT_YMD_NS);            String key = "user" + time;            if(rvt instanceof AccessTokenResult){                AccessTokenResult tokenResult = (AccessTokenResult) rvt;                if (tokenResult != null && tokenResult.getUserId() > 0) {                    insertHyperLogLog(tokenResult.getUserId(),key);                }            }else if(rvt instanceof Long && (long)rvt>0){                insertHyperLogLog((long)rvt,key);            }        }catch (Exception e){            log.info("统计用户uv失败",e);        }    }    private void insertHyperLogLog(Long userId,String key){        CompletableFuture.runAsync(() -> {            redisTemplate.expire(key, 30, TimeUnit.DAYS);            redisTemplate.opsForHyperLogLog().add(key, userId);        });    }

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