refactor(stage9): 后端业务域目录形状统一

- 每个域现在都是 src/server/routes/<domain>/ 目录：
  vehicles/routes.ts（原 routes/vehicles.ts）、vehicle-heatmap/{routes,model}.ts、
  hydrogen-heatmap/{routes,model}.ts、ele/routes.ts、feedback/routes.ts。
- 命名约定：index.ts 是聚合器（挂子路由），routes.ts 是叶子路由。mileage/energy/
  scheduling 保持 index.ts 聚合，其余统一为 routes.ts。
- 纯移动与改名，未改动任何 SQL、参数顺序、路由挂载前缀或处理器逻辑。
  import 改写由一次性 codemod 完成；vehicles/repository.test.ts 读取的源码路径同步更新。
- docs/ARCHITECTURE.md 补充"后端业务域形状"表，并如实标注 ele / feedback 尚未拆出
  repository（这两个域缺 SQL 指纹测试，建议先补测试再拆）。

lint / test(139) / build 全绿，可达性 0 未引用文件。

src/server/routes/vehicle-heatmap-model.test.ts

@@ -1,152 +0,0 @@
-import assert from 'node:assert/strict';
-import test from 'node:test';
-import {
-  buildVehicleGrid,
-  buildVehicleRanking,
-  daysInclusive,
-  filterVehicleRecordsByRadius,
-  haversineKm,
-  parseNearbyQuery,
-  parseVehicleHeatmapQuery,
-  summarizeVehicleRecords,
-  vehicleGridPrecision,
-  type VehicleHeatmapRecord,
-} from './vehicle-heatmap-model.js';
-import { recentDayRange } from '../../shared/date-range.js';
-
-// 默认区间是"近 30 天"滚动窗口，注入固定时钟让断言可复现。
-const NOW = new Date('2026-07-13T12:00:00');
-const FALLBACK = recentDayRange(30, NOW);
-
-function record(overrides: Partial<VehicleHeatmapRecord> = {}): VehicleHeatmapRecord {
-  return {
-    date: '2026-07-01',
-    vin: 'VIN-A',
-    plate: '粤A00001',
-    time: '2026-07-01 08:00:00',
-    longitude: 120,
-    latitude: 30,
-    source: 'test',
-    sourceRecordId: '1',
-    ...overrides,
-  };
-}
-
-test('车辆热力图查询默认使用近 30 天滚动窗口，并保留原有字符串处理规则', () => {
-  assert.deepEqual(parseVehicleHeatmapQuery({}, NOW), {
-    startDate: FALLBACK.start,
-    endDate: FALLBACK.end,
-    query: '',
-    batchModel: '',
-    metric: 'locations',
-  });
-  assert.deepEqual(parseVehicleHeatmapQuery({
-    startDate: '2026-06-01',
-    endDate: 'invalid',
-    query: '  粤A  ',
-    batchModel: '  190台冷链  ',
-    metric: 'vehicles',
-  }, NOW), {
-    startDate: '2026-06-01',
-    endDate: FALLBACK.end,
-    query: '  粤A  ',
-    batchModel: '190台冷链',
-    metric: 'vehicles',
-  });
-});
-
-test('附近查询继续沿用经纬度 Number 语义和 5 至 200 公里半径限制', () => {
-  assert.deepEqual(parseNearbyQuery({ lng: '', lat: '0', radiusKm: '0' }), {
-    center: { lng: 0, lat: 0 },
-    radiusKm: 50,
-  });
-  assert.deepEqual(parseNearbyQuery({ lng: '120', lat: '30', radiusKm: '-1' }), {
-    center: { lng: 120, lat: 30 },
-    radiusKm: 5,
-  });
-  assert.equal(parseNearbyQuery({ lng: '120', lat: '30', radiusKm: '500' }).radiusKm, 200);
-  assert.equal(parseNearbyQuery({ lng: 'bad', lat: '30' }).center, null);
-});
-
-test('网格精度继续按含首尾天数和筛选条件决定', () => {
-  assert.equal(daysInclusive('2026-07-01', '2026-07-14'), 14);
-  assert.equal(daysInclusive('2026-07-14', '2026-07-01'), 0);
-  assert.equal(vehicleGridPrecision('2026-07-01', '2026-07-14', '', ''), 3);
-  assert.equal(vehicleGridPrecision('2026-07-01', '2026-07-15', '', ''), 2);
-  assert.equal(vehicleGridPrecision('2026-07-01', '2026-07-15', ' ', ''), 3);
-});
-
-test('车辆网格继续区分位置次数和去重车辆数并保留插入顺序', () => {
-  const records = [
-    record({ vin: 'VIN-A', longitude: 120.1231, latitude: 30.9878 }),
-    record({ vin: 'VIN-A', longitude: 120.1232, latitude: 30.9879 }),
-    record({ vin: 'VIN-B', longitude: 120.1233, latitude: 30.9877 }),
-    record({ vin: 'VIN-C', longitude: 121, latitude: 31 }),
-  ];
-
-  assert.deepEqual(buildVehicleGrid(records, 'locations', 3), {
-    points: [
-      { lng: 120.123, lat: 30.988, count: 3 },
-      { lng: 121, lat: 31, count: 1 },
-    ],
-    max: 3,
-  });
-  assert.deepEqual(buildVehicleGrid(records, 'vehicles', 3), {
-    points: [
-      { lng: 120.123, lat: 30.988, count: 2 },
-      { lng: 121, lat: 31, count: 1 },
-    ],
-    max: 2,
-  });
-  assert.deepEqual(buildVehicleGrid([], 'locations', 2), { points: [], max: 1 });
-});
-
-test('车辆排名继续按记录数、车牌排序并保留首末出现时间', () => {
-  const records = [
-    record({ vin: 'VIN-B', plate: '', time: '2026-07-02 10:00:00' }),
-    record({ vin: 'VIN-A', plate: '粤A00001', time: '2026-07-02 09:00:00' }),
-    record({ vin: 'VIN-B', plate: '粤B00001', time: '2026-07-01 08:00:00' }),
-    record({ vin: 'VIN-A', plate: '粤A00001', time: '2026-07-03 11:00:00' }),
-  ];
-
-  assert.deepEqual(buildVehicleRanking(records), [
-    {
-      vin: 'VIN-A',
-      plateNumber: '粤A00001',
-      locationCount: 2,
-      firstSeen: '2026-07-02 09:00:00',
-      lastSeen: '2026-07-03 11:00:00',
-    },
-    {
-      vin: 'VIN-B',
-      plateNumber: '粤B00001',
-      locationCount: 2,
-      firstSeen: '2026-07-01 08:00:00',
-      lastSeen: '2026-07-02 10:00:00',
-    },
-  ]);
-  assert.equal(buildVehicleRanking(records, 1).length, 1);
-});
-
-test('车辆统计和附近筛选继续使用 VIN、自然日去重及 Haversine 距离', () => {
-  const records = [
-    record({ vin: 'VIN-A', date: '2026-07-01' }),
-    record({ vin: 'VIN-A', date: '2026-07-02', longitude: 120.01 }),
-    record({ vin: 'VIN-B', date: '2026-07-02', longitude: 121 }),
-  ];
-
-  assert.deepEqual(summarizeVehicleRecords(records), {
-    locationCount: 3,
-    vehicleCount: 2,
-    dayCount: 2,
-  });
-  assert.equal(haversineKm(120, 30, 120, 30), 0);
-  assert.ok(Math.abs(haversineKm(0, 0, 0, 1) - 111.195) < 0.01);
-  assert.deepEqual(
-    filterVehicleRecordsByRadius(records, { lng: 120, lat: 30 }, 5).map(({ vin, date }) => ({ vin, date })),
-    [
-      { vin: 'VIN-A', date: '2026-07-01' },
-      { vin: 'VIN-A', date: '2026-07-02' },
-    ],
-  );
-});