[10023] 湿度曲线页面优化: rhsfcchart接口改为返回forecast/local时间点并集(时间升序, 缺数填0, 两侧stats等长下标对齐, 预测源同时间点多份重叠报告取首个即最新); 明细表与导出Excel均改为 时间/预测湿度(%)/观测湿度(%) 3列, 导出新增RhsfcChartExportStat VO

forecast-backend-server/src/main/java/com/ufo/project/forecast/shortterm/weather/controller/DataShortTermWeatherForecastRawController.java

@@ -23,6 +23,7 @@ import com.ufo.project.forecast.shortterm.weather.domain.DataShortTermWeatherFor
 import com.ufo.project.forecast.shortterm.weather.domain.vo.ChartDataPair;
 import com.ufo.project.forecast.shortterm.weather.domain.vo.PsfcChartResult;
 import com.ufo.project.forecast.shortterm.weather.domain.vo.PsfcChartStat;
+import com.ufo.project.forecast.shortterm.weather.domain.vo.RhsfcChartExportStat;
 import com.ufo.project.forecast.shortterm.weather.domain.vo.RhsfcChartResult;
 import com.ufo.project.forecast.shortterm.weather.domain.vo.RhsfcChartStat;
 import com.ufo.project.forecast.shortterm.weather.domain.vo.RoseChartDirectionStat;
@@ -182,6 +183,7 @@ public class DataShortTermWeatherForecastRawController extends BaseController
     {
         RhsfcChartResult forecast = dataShortTermWeatherForecastRawService.getRhsfcChart(stationId, startTime, endTime);
         RhsfcChartResult local = dataWeatherLocalService.getRhsfcChart(stationId, startTime, endTime);
+        alignRhsfcStats(forecast, local);
         return success(new ChartDataPair<RhsfcChartResult>(forecast, local));
     }
 
@@ -196,16 +198,16 @@ public class DataShortTermWeatherForecastRawController extends BaseController
     {
         RhsfcChartResult forecast = dataShortTermWeatherForecastRawService.getRhsfcChart(stationId, startTime, endTime);
         RhsfcChartResult local = dataWeatherLocalService.getRhsfcChart(stationId, startTime, endTime);
-        List<RhsfcChartStat> stats = new ArrayList<RhsfcChartStat>();
-        if (forecast.getStats() != null)
+        alignRhsfcStats(forecast, local);
+        List<RhsfcChartStat> forecastStats = forecast.getStats();
+        List<RhsfcChartStat> localStats = local.getStats();
+        List<RhsfcChartExportStat> stats = new ArrayList<RhsfcChartExportStat>();
+        for (int i = 0; i < forecastStats.size(); i++)
         {
-            stats.addAll(forecast.getStats());
+            stats.add(new RhsfcChartExportStat(forecastStats.get(i).getTime(),
+                    forecastStats.get(i).getRhsfc(), localStats.get(i).getRhsfc()));
         }
-        if (local.getStats() != null)
-        {
-            stats.addAll(local.getStats());
-        }
-        ExcelUtil<RhsfcChartStat> util = new ExcelUtil<RhsfcChartStat>(RhsfcChartStat.class);
+        ExcelUtil<RhsfcChartExportStat> util = new ExcelUtil<RhsfcChartExportStat>(RhsfcChartExportStat.class);
         util.exportExcel(response, stats, "湿度曲线数据");
     }
 
@@ -428,6 +430,52 @@ public class DataShortTermWeatherForecastRawController extends BaseController
         return map;
     }
 
+    /**
+     * 将预测/本地实测湿度统计对齐到同一时间点并集（升序，缺数填0，等长下标一一对应）
+     */
+    private void alignRhsfcStats(RhsfcChartResult forecast, RhsfcChartResult local)
+    {
+        Map<String, Double> forecastMap = buildRhsfcTimeMap(forecast.getStats());
+        Map<String, Double> localMap = buildRhsfcTimeMap(local.getStats());
+        TreeSet<String> times = new TreeSet<String>();
+        times.addAll(forecastMap.keySet());
+        times.addAll(localMap.keySet());
+        List<RhsfcChartStat> forecastStats = new ArrayList<RhsfcChartStat>();
+        List<RhsfcChartStat> localStats = new ArrayList<RhsfcChartStat>();
+        for (String time : times)
+        {
+            RhsfcChartStat forecastStat = new RhsfcChartStat(time, forecastMap.getOrDefault(time, 0d));
+            forecastStat.setSource("预测");
+            forecastStats.add(forecastStat);
+            RhsfcChartStat localStat = new RhsfcChartStat(time, localMap.getOrDefault(time, 0d));
+            localStat.setSource("本地实测");
+            localStats.add(localStat);
+        }
+        forecast.setStats(forecastStats);
+        local.setStats(localStats);
+    }
+
+    /**
+     * 按时间建立 时间->湿度 映射（LinkedHashMap 保留列表序，putIfAbsent 去重取首个）
+     */
+    private Map<String, Double> buildRhsfcTimeMap(List<RhsfcChartStat> stats)
+    {
+        Map<String, Double> map = new LinkedHashMap<String, Double>();
+        if (stats == null)
+        {
+            return map;
+        }
+        for (RhsfcChartStat stat : stats)
+        {
+            if (stat == null || stat.getTime() == null)
+            {
+                continue;
+            }
+            map.putIfAbsent(stat.getTime(), stat.getRhsfc() == null ? 0d : stat.getRhsfc());
+        }
+        return map;
+    }
+
     /**
      * 导出短期气象原始数据列表
      */

forecast-backend-server/src/main/java/com/ufo/project/forecast/shortterm/weather/domain/vo/RhsfcChartExportStat.java

@@ -0,0 +1,65 @@
+package com.ufo.project.forecast.shortterm.weather.domain.vo;
+
+import com.ufo.base.framework.aspectj.lang.annotation.Excel;
+
+/**
+ * 湿度曲线导出行数据（预测与本地实测按时间点并集对齐，缺数填0）
+ *
+ * @author ufo
+ * @date 2026-10-29
+ */
+public class RhsfcChartExportStat
+{
+    /** 时间（yyyy-MM-dd HH:mm:ss） */
+    @Excel(name = "时间")
+    private String time;
+
+    /** 预测湿度（%） */
+    @Excel(name = "预测湿度(%)")
+    private Double forecastRhsfc;
+
+    /** 观测湿度（%） */
+    @Excel(name = "观测湿度(%)")
+    private Double localRhsfc;
+
+    public RhsfcChartExportStat()
+    {
+    }
+
+    public RhsfcChartExportStat(String time, Double forecastRhsfc, Double localRhsfc)
+    {
+        this.time = time;
+        this.forecastRhsfc = forecastRhsfc;
+        this.localRhsfc = localRhsfc;
+    }
+
+    public String getTime()
+    {
+        return time;
+    }
+
+    public void setTime(String time)
+    {
+        this.time = time;
+    }
+
+    public Double getForecastRhsfc()
+    {
+        return forecastRhsfc;
+    }
+
+    public void setForecastRhsfc(Double forecastRhsfc)
+    {
+        this.forecastRhsfc = forecastRhsfc;
+    }
+
+    public Double getLocalRhsfc()
+    {
+        return localRhsfc;
+    }
+
+    public void setLocalRhsfc(Double localRhsfc)
+    {
+        this.localRhsfc = localRhsfc;
+    }
+}

forecast-backend-vue/src/views/ufo/electricity/weather/HumidityCurve.vue

@@ -84,8 +84,8 @@ const hasData = computed(() => !!summary.value && (summary.value.totalRecords >
 
 const columns = [
   {title: '时间', dataIndex: 'time', width: 180, align: 'center', fixed: 'left'},
-  {title: '来源', dataIndex: 'source', width: 100, align: 'center'},
-  {title: '湿度(%)', dataIndex: 'rhsfc', width: 150, align: 'right'}
+  {title: '预测湿度(%)', dataIndex: 'forecastRhsfc', width: 150, align: 'right'},
+  {title: '观测湿度(%)', dataIndex: 'localRhsfc', width: 150, align: 'right'}
 ];
 
 const pagination = {
@@ -191,20 +191,16 @@ const handleQuery = async () => {
       localTotalRecords: local.totalRecords || 0,
       localValidRecords: local.validRecords || 0
     };
-    detailRows.value = [
-      ...(forecast.stats || []).map((item, index) => ({
-        key: `forecast-${index}`,
-        time: item.time,
-        source: item.source || '预测',
-        rhsfc: toNumber(item.rhsfc, 0)
-      })),
-      ...(local.stats || []).map((item, index) => ({
-        key: `local-${index}`,
-        time: item.time,
-        source: item.source || '观测',
-        rhsfc: toNumber(item.rhsfc, 0)
-      }))
-    ];
+    // 后端已将 forecast/local 的 stats 对齐到同一时间点并集（缺数填0），按下标对齐取行
+    const forecastStats = forecast.stats || [];
+    const localStats = local.stats || [];
+    const rowCount = Math.max(forecastStats.length, localStats.length);
+    detailRows.value = Array.from({ length: rowCount }, (_, index) => ({
+      key: `row-${index}`,
+      time: forecastStats[index]?.time || localStats[index]?.time,
+      forecastRhsfc: toNumber(forecastStats[index]?.rhsfc, 0),
+      localRhsfc: toNumber(localStats[index]?.rhsfc, 0)
+    }));
     renderChart(forecast.stats || [], local.stats || []);
   } finally {
     loading.value = false;