Draw according to weight

    /**
     *
     * @param request  Blind box lucky draw 
     * @param request
     * @return
     */

    @Override
    public BGitf lotteryResults(HttpServletRequest request) {
        BUserInfo userInfo = ibUserInfoService.validationToken(request);
        Long id = userInfo.getId();
        String phoneNum = userInfo.getPhoneNum();
        String nickName = userInfo.getNickName();
        String isNewUser = userInfo.getIsNewUser();
        Assert.isTrue(isNewUser.equals("1"), " I'm sorry , You are not a new user ");

        List<BGitf> bGitfs = bGitfMapper.selectBGitfList(   new BGitf());
        BGitf bGitf = mainWeightRandom(bGitfs);
        Long gitfId = bGitf.getGitfId();
        String gitfName = bGitf.getGitfName();
        String gitfImge = bGitf.getGitfImge();
        BUserAwardRecord bUserAwardRecord = new BUserAwardRecord();
        bUserAwardRecord.setUserId(id);
        bUserAwardRecord.setAwardId(gitfId);
        bUserAwardRecord.setAwardName(gitfName);
        bUserAwardRecord.setGitImge(gitfImge);
        bUserAwardRecord.setUserName(nickName);
        bUserAwardRecord.setUserPhone(phoneNum);
        bUserAwardRecord.setCreateTime(new Date());
        bUserAwardRecordMapper.insertBUserAwardRecord(bUserAwardRecord);
        isNewUser = "1";
        userInfo.setIsNewUser(isNewUser);
        bUserInfoMapper.updateBUserInfo(userInfo);
        String token = UUID.randomUUID().toString();
        redisTemplate.opsForValue().set(token, JSON.toJSONString(userInfo),5, TimeUnit.HOURS);

        return bGitf;
    }

    /**
     *  Lottery method 
     * @param awardEntities
     * @return
     */
    //  Weight master method 

    public static BGitf mainWeightRandom(List<BGitf> awardEntities) {
        Integer weightSum = 0;
        // Calculate the total weight 
        for (BGitf wc : awardEntities) {
            weightSum += wc.getGitfProbability();
        }

        if (weightSum <= 0) {
            return null;
        }
        // n in [0, weightSum)
        // Produce a [0, weightSum)  The random number 
        Random random = new Random();
        Integer n = random.nextInt(weightSum);


        // The judgment is in that weight range 
        Integer m = 0;
        for (BGitf wc : awardEntities) {
            if (m <= n && n < m + wc.getGitfProbability()) {

                return wc;
            }
            m += wc.getGitfProbability();
        }
        return null;
    }