综合指标查询

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

@@ -7,6 +7,7 @@ import com.alibaba.fastjson.JSONObject;
 import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
 import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
 import com.ruoyi.common.exception.ServiceException;
+import com.zc.business.domain.ComprehensiveIndexQuery;
 import com.zc.business.domain.DcGantryMetricsStatisticsData;
 import com.zc.business.enums.ChannelCongestionLevelEnum;
 import com.zc.business.enums.StakeMarkRange;
@@ -307,7 +308,7 @@ public class IDcGantryMetricsStatisticsDataServiceImpl
             double avgSaturationRate = count > 0 ? sumSaturationRate / count : 0;
 
 // 格式化保留4位小数
-            String formattedAvgSaturationRate = String.format("%.4f", avgSaturationRate);
+            Double formattedAvgSaturationRate = Double.valueOf(String.format("%.4f", avgSaturationRate));
             Map<String, Object> map = new HashMap<>();
             map.put("groupTime", groupId);
             map.put("Id", id);
@@ -317,7 +318,7 @@ public class IDcGantryMetricsStatisticsDataServiceImpl
             mapTime.add(map);
         }
 
-        // 输出结果
+/*        // 输出结果
         result.forEach((date, data) -> {
             System.out.println("统计日期:" + date);
             data.forEach(entry -> {
@@ -325,7 +326,7 @@ public class IDcGantryMetricsStatisticsDataServiceImpl
                     System.out.println(key + ": " + value);
                 });
             });
-        });
+        });*/
         return mapTime;
     }
 
@@ -341,7 +342,12 @@ public class IDcGantryMetricsStatisticsDataServiceImpl
     public Map<String, Object> radarMapOfTrafficIndicators(String startDate, String direction, String periodType) {
         List<Map<String, Object>> mapOne = gantryMetricsStatisticsDataMapper.radarMapOfTrafficIndicators(startDate, direction, periodType);
         if (mapOne.isEmpty()) {
-            return null;
+            Map<String, Object> map = new HashMap<>();
+
+            map.put("crowdingRate", 0);
+            map.put("trafficCompositionRate", 0);
+            map.put("saturationRate", 0);
+            return map;
         }
         // 计算crowdingRate和trafficCompositionRate的众数，以及saturationRate的平均值
         int[] rates = {0, 0}; // 用于存储众数，第一个元素为crowdingRate众数，第二个为trafficCompositionRate众数
@@ -367,14 +373,20 @@ public class IDcGantryMetricsStatisticsDataServiceImpl
         double avgSaturationRate = count > 0 ? sumSaturationRate / count : 0;
 
 // 格式化保留4位小数
-        String formattedAvgSaturationRate = String.format("%.4f", avgSaturationRate);
+        Double formattedAvgSaturationRate = Double.valueOf(String.format("%.4f", avgSaturationRate));
         Map<String, Object> map = new HashMap<>();
-        map.put("crowdingRate", rates[0]);
+
+        map.put("crowdingRate",  rates[0]);
         map.put("trafficCompositionRate", rates[1]);
         map.put("saturationRate", formattedAvgSaturationRate);
         return map;
     }
 
+    @Override
+    public List<ComprehensiveIndexQuery> comprehensiveIndexQuery(ComprehensiveIndexQuery comprehensiveIndexQuery) {
+        return gantryMetricsStatisticsDataMapper.comprehensiveIndexQuery(comprehensiveIndexQuery);
+    }
+
 
     private static int findMaxCountKey(Map<Integer, Integer> counts) {
         // 初始化一个 Pair 类型来存储当前的最大计数及对应的键