| | |
| | | package org.example.websocket.server; |
| | | |
| | | import cn.hutool.core.util.NumberUtil; |
| | | import cn.hutool.json.JSONUtil; |
| | | import com.fasterxml.jackson.core.JsonProcessingException; |
| | | import com.fasterxml.jackson.core.type.TypeReference; |
| | |
| | | import com.google.gson.GsonBuilder; |
| | | import lombok.NonNull; |
| | | import lombok.extern.slf4j.Slf4j; |
| | | import org.apache.commons.lang3.StringUtils; |
| | | import org.example.pojo.ConfigCurrency; |
| | | import org.example.pojo.MarketDataOut; |
| | | import org.example.pojo.bo.WsBo; |
| | |
| | | try { |
| | | schedulePushMessage(session, message); |
| | | } catch (Exception e) { |
| | | e.printStackTrace(); |
| | | closeSession(session, "发送消息异常,断开链接"); |
| | | log.error("发送消息时出现异常: {}", e.getMessage()); |
| | | } finally { |
| | | sessionLock.unlock(); |
| | |
| | | long currentTime = System.currentTimeMillis(); |
| | | long lastMessageTime = lastMessageTimeMap.getOrDefault(session, 0L); |
| | | int time = wsBo.getTime(); |
| | | |
| | | message = megFiltration(wsBo,message); |
| | | if (currentTime - lastMessageTime >= time * 1000) { |
| | | // 时间间隔达到要求,可以发送消息 |
| | |
| | | lastMessageTimeMap.put(session, currentTime); // 更新最后发送时间 |
| | | } else { |
| | | // 时间间隔未达到,不发送消息,可以记录日志或者其他操作 |
| | | log.info("距离上次发送消息时间未达到指定间隔,不发送消息。"); |
| | | // log.info("距离上次发送消息时间未达到指定间隔,不发送消息。"); |
| | | } |
| | | } |
| | | } |
| | | private static final Gson gson = new Gson(); |
| | | private String megFiltration(WsBo wsBo,String message) throws JsonProcessingException { |
| | | List<MarketDataOut> redisValueMap = gson.fromJson(message, new TypeToken<List<MarketDataOut>>() {}.getType()); |
| | | |
| | | Map<String,Object> map = new HashMap<>(); |
| | | String key = "config_"; |
| | | String value = RedisUtil.get(key + wsBo.getUserId()); |
| | | List<ConfigCurrency> currencies = null; |
| | |
| | | |
| | | |
| | | //查询币种 |
| | | if(null != wsBo.getCurrency()){ |
| | | if(StringUtils.isNotEmpty(wsBo.getCurrency())){ |
| | | redisValueMap = redisValueMap.stream() |
| | | .filter(data -> wsBo.getCurrency().equals(data.getBaseAsset())) |
| | | .collect(Collectors.toList()); |
| | | } |
| | | //价差 |
| | | if(wsBo.getSpread() > 0){ |
| | | redisValueMap = redisValueMap.stream() |
| | | .filter(data -> Double.parseDouble(data.getSpread()) >= wsBo.getSpread()) |
| | | .collect(Collectors.toList()); |
| | | } |
| | | redisValueMap = redisValueMap.stream() |
| | | .filter(data -> Double.parseDouble(data.getSpread()) >= wsBo.getSpread()) |
| | | .collect(Collectors.toList()); |
| | | //最低金额 |
| | | if(null != wsBo.getMinAmount()){ |
| | | redisValueMap = redisValueMap.stream() |
| | |
| | | .filter(data -> list.contains(data.getBuyAndSell())) |
| | | .forEach(data -> data.setMarker(true)); |
| | | } |
| | | map.put("current",wsBo.getCurrent()); |
| | | map.put("sizes",wsBo.getSizes()); |
| | | map.put("total",redisValueMap.size()); |
| | | sortBySpread(redisValueMap); |
| | | Integer current = 0; |
| | | if(wsBo.getCurrent() != 1){ |
| | | current = (wsBo.getCurrent() - 1) * wsBo.getSizes(); |
| | | } |
| | | |
| | | // 确保 startIndex 在有效范围内 |
| | | current = Math.min(current, redisValueMap.size()); |
| | | // 计算子列表的结束索引 |
| | | int endIndex = Math.min(current + wsBo.getSizes(), redisValueMap.size()); |
| | | // 根据计算出的索引获取子列表 |
| | | redisValueMap = redisValueMap.subList(current, endIndex); |
| | | map.put("data",redisValueMap); |
| | | Gson gson = new GsonBuilder().setPrettyPrinting().create(); |
| | | String json = gson.toJson(redisValueMap); |
| | | String json = gson.toJson(map); |
| | | return json; |
| | | } |
| | | public static void sortBySpread(List<MarketDataOut> marketDataList) { |
| | | Collections.sort(marketDataList, new Comparator<MarketDataOut>() { |
| | | @Override |
| | | public int compare(MarketDataOut a, MarketDataOut b) { |
| | | // 将买入总价和卖出总价转换为 BigDecimal |
| | | BigDecimal buyTotalPriceA = new BigDecimal(a.getBuyTotalPrice()); |
| | | BigDecimal buyTotalPriceB = new BigDecimal(b.getBuyTotalPrice()); |
| | | BigDecimal sellTotalPriceA = new BigDecimal(a.getSellTotalPrice()); |
| | | BigDecimal sellTotalPriceB = new BigDecimal(b.getSellTotalPrice()); |
| | | BigDecimal spreadA = new BigDecimal(a.getSpread()); |
| | | BigDecimal spreadB = new BigDecimal(b.getSpread()); |
| | | |
| | | // 检查 a 和 b 的买入总价或卖出总价是否大于 1000 |
| | | boolean aBuyOrSellAbove1000 = buyTotalPriceA.compareTo(new BigDecimal("1000")) > 0 || sellTotalPriceA.compareTo(new BigDecimal("1000")) > 0; |
| | | boolean bBuyOrSellAbove1000 = buyTotalPriceB.compareTo(new BigDecimal("1000")) > 0 || sellTotalPriceB.compareTo(new BigDecimal("1000")) > 0; |
| | | |
| | | if (aBuyOrSellAbove1000 && !bBuyOrSellAbove1000) { |
| | | return -1; // a 应排在 b 前面 |
| | | } else if (!aBuyOrSellAbove1000 && bBuyOrSellAbove1000) { |
| | | return 1; // b 应排在 a 前面 |
| | | } else { |
| | | // a 和 b 都大于 1000 或都小于等于 1000 |
| | | // 先按照 spread 的降序排列 |
| | | int spreadComparison = spreadB.compareTo(spreadA); |
| | | if (spreadComparison != 0) { |
| | | return spreadComparison; // 先按照 spread 排序 |
| | | } else { |
| | | // 如果 spread 相同,再按照买入总价或卖出总价的升序排列 |
| | | if (aBuyOrSellAbove1000) { |
| | | // 对于买入总价或卖出总价大于 1000 的记录 |
| | | return buyTotalPriceA.compareTo(buyTotalPriceB); // 按照买入总价升序排序 |
| | | } else { |
| | | // 对于买入总价或卖出总价小于等于 1000 的记录 |
| | | return buyTotalPriceA.compareTo(buyTotalPriceB); // 可以选择卖出总价或买入总价的升序排序 |
| | | } |
| | | } |
| | | } |
| | | } |
| | | }); |
| | | } |
| | | |
| | | private void pushMessage(Session session, String message) { |
| | | try { |