refactor(RealTimeInventory): 优化销售数据分组处理逻辑

重构销售数据图表处理函数，将数据按日期分组并添加时间偏移以避免重叠。同一天的多个销售记录现在会以30分钟间隔显示，提高图表可读性。

src/views/plan/RealTimeInventory.vue

@@ -825,43 +825,69 @@ const prepareInventoryChartData = () => {
     console.log('开始处理销售数据');
     console.log('第一条销售数据示例:', salesData.value[0]);
     
-    const salesSeriesData = salesData.value.map((item, index) => {
+    // 按日期分组销售数据
-      console.log(`处理销售第${index}条数据:`, item);
+    const salesByDate = new Map();
-      
+    salesData.value.forEach((item, index) => {
-      // 销售数据字段映射
       const timeField = item.date || item.create_time || item.createTime || item.time || item.timestamp;
-      const boxCountField = item.box_count || item.boxCount || item.box || item.count;
+      if (timeField) {
-      const weightField = item.weight || item.total_weight || item.totalWeight;
+        const dateKey = new Date(timeField).toISOString().split('T')[0]; // YYYY-MM-DD格式
-      
+        if (!salesByDate.has(dateKey)) {
-      console.log('销售字段映射检查:', {
+          salesByDate.set(dateKey, []);
-        timeField,
+        }
-        boxCountField,
+        salesByDate.get(dateKey).push(item);
-        weightField
-      });
-      
-      if (!timeField) {
-        console.warn(`销售第${index}条数据缺少时间字段`);
-        return null;
-      }
-      
-      const time = new Date(timeField).getTime();
-      let value;
-      
-      if (chartUnit.value === 'box') {
-        value = boxCountField || 0;
-      } else {
-        value = weightField || 0;
-      }
-      
-      console.log(`销售时间戳: ${time}, 值: ${value}`);
-      
-      if (isNaN(time) || time <= 0) {
-        console.warn(`销售第${index}条数据时间格式无效:`, timeField);
-        return null;
       }
+    });
+    
+    const salesSeriesData = [];
+    
+    // 处理每个日期的销售记录
+    salesByDate.forEach((items, dateKey) => {
+      console.log(`处理日期 ${dateKey} 的 ${items.length} 条销售记录`);
       
-      return [time, value];
+      items.forEach((item, dayIndex) => {
-    }).filter(item => item !== null); // 过滤掉无效数据
+        console.log(`处理销售第${dayIndex + 1}条数据:`, item);
+        
+        // 销售数据字段映射
+        const timeField = item.date || item.create_time || item.createTime || item.time || item.timestamp;
+        const boxCountField = item.box_count || item.boxCount || item.box || item.count;
+        const weightField = item.weight || item.total_weight || item.totalWeight;
+        
+        console.log('销售字段映射检查:', {
+          timeField,
+          boxCountField,
+          weightField
+        });
+        
+        if (!timeField) {
+          console.warn(`销售第${dayIndex + 1}条数据缺少时间字段`);
+          return;
+        }
+        
+        // 基础时间戳
+        const baseTime = new Date(timeField).getTime();
+        
+        // 为同一天的多个记录分配不同的时间点（间隔30分钟）
+        const timeOffset = dayIndex * 30 * 60 * 1000; // 30分钟间隔
+        const adjustedTime = baseTime + timeOffset;
+        
+        let value;
+        
+        if (chartUnit.value === 'box') {
+          value = boxCountField || 0;
+        } else {
+          value = weightField || 0;
+        }
+        
+        console.log(`销售时间戳: ${adjustedTime}, 值: ${value}`);
+        
+        if (isNaN(adjustedTime) || adjustedTime <= 0) {
+          console.warn(`销售第${dayIndex + 1}条数据时间格式无效:`, timeField);
+          return;
+        }
+        
+        salesSeriesData.push([adjustedTime, value]);
+      });
+    });
     
     console.log('销售转换后的图表数据:', salesSeriesData);
     console.log('销售有效数据点数量:', salesSeriesData.length);