fix(scheduling): include soft-deleted trucks and infer type from target name

411 of 451 assessment vehicles had is_deleted=1 in tab_truck, causing type
classification to fall back to "其他" and miss all inventory matches. Fix:
- Remove is_deleted=0 filter from truck type query (assessment vehicles need type info regardless)
- Add inferTypeFromTargetName() fallback deriving type from target name when truck record is missing

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

src/server/routes/scheduling/suggestions.ts

@@ -12,6 +12,20 @@ import type { AuthUser } from '../../auth/types.js';
 // Helper: vehicle type classification
 // ---------------------------------------------------------------------------
 
+/**
+ * Infer vehicle type from target name when truck table has no match.
+ * e.g. "交投190辆4.5T冷链车" → "4.5T冷链", "羚牛100辆18T" → "18T"
+ */
+function inferTypeFromTargetName(targetName: string): string {
+  const t = targetName || '';
+  if (t.includes('冷链')) return '4.5T冷链';
+  if (t.includes('普货') || (t.includes('4.5') && !t.includes('冷链'))) return '4.5T普货';
+  if (t.includes('18T') || t.includes('18t')) return '18T';
+  if (t.includes('49') || t.includes('牵引')) return '49T';
+  if (t.includes('挂车')) return '挂车';
+  return '其他';
+}
+
 /**
  * Classify vehicle type from dic_type.dic_name (e.g. "4.5吨冷链车", "4.5吨货车", "18吨双飞翼货车").
  * The typeName is the full label from the dictionary, modelRaw is the numeric dic_code.
@@ -63,12 +77,14 @@ app.get('/', async (c) => {
     const vehicleInfoMap = await fetchVehicleInfoMap();
 
     // ---- Query 4: Vehicle types from tab_truck ----
+    // Include soft-deleted trucks: many assessment vehicles have is_deleted=1 in tab_truck
+    // but are still active in the assessment. We need their type info.
     const [truckTypeRows] = await pool.execute(`
       SELECT truck.plate_number, dic_type.dic_name AS type_name, truck.model AS model_raw
       FROM tab_truck truck
       LEFT JOIN tab_dic dic_type ON dic_type.parent_code = 'dic_truck_type'
         AND dic_type.dic_code = truck.model AND dic_type.is_deleted = 0
-      WHERE truck.is_deleted = 0 AND truck.is_operation = 1
+      WHERE truck.is_operation = 1
     `) as [any[], unknown];
 
     const truckTypeMap = new Map<string, { typeName: string; modelRaw: string }>();
@@ -170,9 +186,14 @@ app.get('/', async (c) => {
       const city = loc?.city || '';
       const region = mapRegion(province, city);
 
-      const vehicleType = truckType
+      // Determine vehicle type: prefer truck table, fallback to target name
-        ? classifyVehicleType(truckType.typeName, truckType.modelRaw)
+      let vehicleType = '其他';
-        : '其他';
+      if (truckType) {
+        vehicleType = classifyVehicleType(truckType.typeName, truckType.modelRaw);
+      } else {
+        // Fallback: infer from target name (e.g. "交投190辆4.5T冷链车" → "4.5T冷链")
+        vehicleType = inferTypeFromTargetName(target.targetName);
+      }
 
       const endDate = row.current_year_assessment_end_date
         ? new Date(row.current_year_assessment_end_date)