feat(scheduling): history view, execute/cancel lifecycle, CSV export, 7d trend

- Add 调度记录 modal: lists notifications by status, supports 标记已执行 (with
  after-mileage + notes) and 取消 for open records
- Add CSV export of filtered suggestions (UTF-8 BOM for Excel); top candidate
  per row picked by same-region > can-qualify preference
- Compute customer 7-day average alongside 30-day baseline in a single query;
  show trend indicator (up/down/flat) next to 客户日均 in list and detail card

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

src/server/routes/scheduling/algorithm.ts

@@ -62,6 +62,7 @@ export function toVehicleInfo(v: EnrichedVehicle): SchedulingVehicleInfo {
     department: v.department,
     manager: v.manager,
     customerAvgDaily: v.customerAvgDaily,
+    customerAvgDaily7d: v.customerAvgDaily7d,
     predictedYearEnd: v.predictedYearEnd,
     daysLeft: v.daysLeft,
   };

src/server/routes/scheduling/suggestions.ts

@@ -114,12 +114,16 @@ app.get('/', async (c) => {
     // ---- Collect all plates for Query 6 ----
     const allPlates = assessmentRows.map((r: any) => r.plate_number as string);
 
-    // ---- Query 6: Customer daily avg (from mileage DB) ----
+    // ---- Query 6: Customer daily avg (from mileage DB) — 30d baseline + 7d recent ----
     const customerAvgDailyMap = new Map<string, number>();
+    const customerAvgDaily7dMap = new Map<string, number>();
     if (allPlates.length > 0) {
       const placeholders = allPlates.map(() => '?').join(',');
+      // Single query returning both windows per plate.
       const [dailyRows] = await mileagePool.execute(
-        `SELECT plate, AVG(daily_km) as avg_daily
+        `SELECT plate,
+                AVG(CASE WHEN stat_date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY) THEN daily_km END) AS avg_30d,
+                AVG(CASE WHEN stat_date >= DATE_SUB(CURDATE(), INTERVAL 7 DAY)  THEN daily_km END) AS avg_7d
          FROM v_vehicle_daily_stats
          WHERE stat_date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
            AND stat_date < CURDATE()
@@ -128,25 +132,30 @@ app.get('/', async (c) => {
         allPlates,
       ) as [any[], unknown];
 
-      // Build plate → avg_daily map
-      const plateAvgMap = new Map<string, number>();
+      const plateAvg30Map = new Map<string, number>();
+      const plateAvg7Map = new Map<string, number>();
       for (const row of dailyRows) {
-        plateAvgMap.set(row.plate, Number(row.avg_daily) || 0);
+        if (row.avg_30d !== null) plateAvg30Map.set(row.plate, Number(row.avg_30d));
+        if (row.avg_7d !== null) plateAvg7Map.set(row.plate, Number(row.avg_7d));
       }
 
-      // Aggregate per customer: average of all plates belonging to each customer
-      const customerPlates = new Map<string, number[]>();
+      const customerPlates30 = new Map<string, number[]>();
+      const customerPlates7 = new Map<string, number[]>();
       for (const plate of allPlates) {
         const info = vehicleInfoMap.get(plate);
         const customer = info?.customer || '未知客户';
-        if (!customerPlates.has(customer)) customerPlates.set(customer, []);
-        const avg = plateAvgMap.get(plate);
-        if (avg !== undefined) customerPlates.get(customer)!.push(avg);
+        if (!customerPlates30.has(customer)) customerPlates30.set(customer, []);
+        if (!customerPlates7.has(customer)) customerPlates7.set(customer, []);
+        const v30 = plateAvg30Map.get(plate);
+        const v7 = plateAvg7Map.get(plate);
+        if (v30 !== undefined) customerPlates30.get(customer)!.push(v30);
+        if (v7 !== undefined) customerPlates7.get(customer)!.push(v7);
       }
-      for (const [customer, avgs] of customerPlates) {
-        if (avgs.length > 0) {
-          customerAvgDailyMap.set(customer, avgs.reduce((s, v) => s + v, 0) / avgs.length);
-        }
+      for (const [customer, avgs] of customerPlates30) {
+        if (avgs.length > 0) customerAvgDailyMap.set(customer, avgs.reduce((s, v) => s + v, 0) / avgs.length);
+      }
+      for (const [customer, avgs] of customerPlates7) {
+        if (avgs.length > 0) customerAvgDaily7dMap.set(customer, avgs.reduce((s, v) => s + v, 0) / avgs.length);
       }
     }
 
@@ -208,6 +217,7 @@ app.get('/', async (c) => {
 
       const customer = info?.customer || null;
       const customerAvgDaily = customerAvgDailyMap.get(customer || '未知客户') || 0;
+      const customerAvgDaily7d = customerAvgDaily7dMap.get(customer || '未知客户') || 0;
       const currentYearMileage = Number(row.current_year_mileage) || 0;
       const yearTarget = Number(row.current_year_mileage_task) || 0;
       const predictedYearEnd = currentYearMileage + customerAvgDaily * daysLeft;
@@ -233,6 +243,7 @@ app.get('/', async (c) => {
         department: info?.department || null,
         manager: info?.manager || null,
         customerAvgDaily,
+        customerAvgDaily7d,
         predictedYearEnd,
         daysLeft,
         classification,

src/server/routes/scheduling/types.ts

@@ -39,6 +39,7 @@ export interface EnrichedVehicle {
   department: string | null;
   manager: string | null;
   customerAvgDaily: number;
+  customerAvgDaily7d: number;
   predictedYearEnd: number;
   daysLeft: number;
   classification: VehicleClassification;