交通指标 每小时的30分统计上一小时数据

zc-business/src/main/java/com/zc/business/service/IDcGantryMetricsStatisticsDataService.java

@@ -49,4 +49,6 @@ public interface IDcGantryMetricsStatisticsDataService extends IService<DcGantry
     Map<String, Object> radarMapOfTrafficIndicators(String startDate, String direction, String periodType);
 
     List<ComprehensiveIndexQuery> comprehensiveIndexQuery(ComprehensiveIndexQuery comprehensiveIndexQuery);
+
+    List<DcGantryMetricsStatisticsData> threeDays();
 }

zc-business/src/main/java/com/zc/business/service/impl/IDcGantryMetricsStatisticsDataServiceImpl.java

@@ -102,6 +102,34 @@ public class IDcGantryMetricsStatisticsDataServiceImpl
         }
     }
 
+    /**
+     * 查询门架指标三天数据
+     * @return
+     */
+    @Override
+    public List<DcGantryMetricsStatisticsData> threeDays() {
+
+        // 计算三天前前的时间点
+        DateTime threeDays = DateUtil.offsetDay(new Date(), -3);
+
+        String startTime = DateUtil.beginOfDay(threeDays).toString();
+
+        String endTime = DateUtil.endOfHour(new Date()).toString();
+
+
+        // 获取当月门架数指标据
+        JSONArray jsonArray = null;
+        try {
+            jsonArray = dcTrafficStatisticsService.gantryMetrics(startTime, endTime);
+            // 计算每个门架数指标据的统计信息，并添加到每日门架指标统计缓存中
+            return calculateGantryMetricsStatistics(jsonArray);
+
+        } catch (HttpException | IOException e) {
+            logger.error(UniversalEnum.FAILED_TO_OBTAIN_THE_SHELF_INDICATOR_DATA_OF_THE_PAST_HOUR.getValue(), e);
+            return new ArrayList<>();
+        }
+    }
+
     /**
      * 获取当月的门架指标数据列表。
      *

zc-business/src/main/java/com/zc/business/statistics/handler/TrafficGantryMetricsStatistics.java

@@ -1,5 +1,11 @@
 package com.zc.business.statistics.handler;
 
+import cn.hutool.core.date.DateTime;
+import cn.hutool.core.date.DateUtil;
+import com.alibaba.druid.util.DaemonThreadFactory;
+import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
+import com.baomidou.mybatisplus.core.conditions.update.UpdateWrapper;
+import com.baomidou.mybatisplus.core.toolkit.Wrappers;
 import com.zc.business.domain.DcGantryMetricsStatisticsData;
 import com.zc.business.enums.TrafficDataPeriodTypeEnum;
 import com.zc.business.mapper.DcGantryMetricsStatisticsDataMapper;
@@ -16,9 +22,8 @@ import org.springframework.stereotype.Component;
 import org.springframework.util.CollectionUtils;
 
 import javax.annotation.Resource;
-import java.util.Collection;
-import java.util.List;
-import java.util.Map;
+import java.time.LocalDateTime;
+import java.util.*;
 import java.util.function.Consumer;
 import java.util.stream.Collectors;
 
@@ -42,7 +47,7 @@ public class TrafficGantryMetricsStatistics {
     /**
      * 定义每小时第20分钟执行的任务，用于清除过期缓存数据并将缓存中的数据整合后保存至数据库。
      */
-    @Scheduled(cron = "0 20 * * * ?") // 每小时的20分整点执行该任务
+    @Scheduled(cron = "0 30 * * * ?") // 每小时的30分整点执行该任务
     public void performHourlyCleanupAndPersist() {
 
         List<DcGantryMetricsStatisticsData> lastHourData = dcGantryMetricsStatisticsDataService.lastHourData();
@@ -50,12 +55,48 @@ public class TrafficGantryMetricsStatistics {
         if (lastHourData == null || lastHourData.isEmpty()) {
             return;
         }
+        //查询三天数据
+/*        List<DcGantryMetricsStatisticsData> threeDays = dcGantryMetricsStatisticsDataService.threeDays();
+        if (threeDays == null || threeDays.isEmpty()) {
+            return;
+        }*/
+
+/*        DateTime threeDay = DateUtil.offsetDay(new Date(), -3);
+        String startTime = DateUtil.beginOfDay(threeDay).toString();
+        String endTime = DateUtil.endOfHour(new Date()).toString();
+
+        List<DcGantryMetricsStatisticsData> threeData = dcGantryMetricsStatisticsDataMapper.selectList(
+                new QueryWrapper<DcGantryMetricsStatisticsData>()
+                        .ge("statistical_date", startTime)
+                        .le("statistical_date", endTime)
+        );
+
+        Map<String, DcGantryMetricsStatisticsData> existingRecords = new HashMap<>();
+        for (DcGantryMetricsStatisticsData data : threeData) {
+            String key = createKey(data.getGantryCode(), data.getStatisticalDate());
+            existingRecords.put(key, data);
+        }
 
+        for (DcGantryMetricsStatisticsData data : threeDays) {
+            String key = createKey(data.getGantryCode(), data.getStatisticalDate());
+            if (existingRecords.containsKey(key)) {
+                // 更新现有记录
+                dcGantryMetricsStatisticsDataMapper.update(null,
+                        new UpdateWrapper<DcGantryMetricsStatisticsData>()
+                                .eq("gantry_code", data.getGantryCode())
+                                .eq("statistical_date", data.getStatisticalDate())
+                                .setEntity(data));
+            } else {
+                // 插入新记录
+                dcGantryMetricsStatisticsDataMapper.insert(data);
+            }
+        }*/
         // 数据库批量插入最近一小时的数据
         dcGantryMetricsStatisticsDataMapper.insertOrUpdateBatch(lastHourData);
-
         // 添加日门架指标数据到缓存中
         lastHourData.forEach(DailyGantryMetricsStatisticsCache::addCacheData);
+       // 添加三日门架指标数据到缓存中
+       // threeDays.forEach(DailyGantryMetricsStatisticsCache::addCacheData);
 
         // 清除已过期的缓存数据
         DailyGantryMetricsStatisticsCache.clearExpiredData();
@@ -75,8 +116,12 @@ public class TrafficGantryMetricsStatistics {
         persistAggregatedData(QuarterlyGantryMetricsStatisticsCache.getCache(), TrafficDataPeriodTypeEnum.QUARTER, YearlyGantryMetricsStatisticsCache::addCacheData);
         // 将缓存中的数据按年统计后保存至数据库
         persistAggregatedData(YearlyGantryMetricsStatisticsCache.getCache(), TrafficDataPeriodTypeEnum.YEAR, (a) -> {});
-    }
 
+    }
+    //创建一个唯一的键（key）
+    private String createKey(String gantryCode, Date statisticalDate) {
+        return String.format("%s:%s", gantryCode, statisticalDate.toString());
+    }
     /**
      * 将缓存中的数据统计后保存至数据库。
      */