利用redis的ZSet实现排行榜，积分相同根据时间，时间越早的越靠前

@Override
public List> redisTop(String level) {
    Set> scores = redisTemplate.opsForZSet().rangeWithScores("top" + level, 0, 9);
    if (CollectionUtils.isEmpty(scores)) {
        QueryWrapper queryWrapper = new QueryWrapper<>();
        queryWrapper.eq("level", level);
        queryWrapper.orderByAsc("final_clock_time");
        List clockUsers = list(queryWrapper);
        System.out.println("------>" + clockUsers.size());
        if (!CollectionUtils.isEmpty(clockUsers)) {
            clockUsers.forEach(clockUser -> {
                String name = clockUser.getNickname();
                String openid = clockUser.getOpenid();
                LocalDateTime finalClockTime = clockUser.getFinalClockTime();
                // 毫秒 秒数  最后的打卡时间转化为毫秒数
                long second = finalClockTime.toInstant(ZoneOffset.of("+8")).toEpochMilli();
                int count = clockUser.getGrowthValue();// 成长值
                String dou = count + "." + second + "";
                double newCount = Double.parseDouble(dou);
                //存储数据库
                redisTemplate.opsForZSet().add("top" + level, openid + ":" + name, newCount);
            });
        }
        scores = redisTemplate.opsForZSet().rangeWithScores("top" + level, 0, 9);
    }
    List> list = new ArrayList<>();
    assert scores != null;
    AtomicInteger i = new AtomicInteger(1);
    scores.forEach(tuple -> {
        Map map = new HashMap<>();
        map.put("name", tuple.getValue().toString().split(":")[1]);
        map.put("openid", tuple.getValue().toString().split(":")[0]);
        map.put("integral", Objects.requireNonNull(tuple.getScore()).intValue());
        list.add(map);
    });
    list.sort((o1, o2) -> {
        Integer integral1 = (Integer) o1.get("integral");
        Integer integral2 = (Integer) o2.get("integral");
        return integral2.compareTo(integral1);
    });
    list.forEach(map -> map.put("rank", i.getAndIncrement()));
    return list;
}