refactor: modularize application domains

2026-08-13 12:03:34 +08:00
parent d610e4b841
commit 06fe75b4c7
142 changed files with 14645 additions and 8885 deletions
@@ -0,0 +1,147 @@
+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';
+
+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('车辆热力图查询继续使用固定默认日期和原有字符串处理规则', () => {
+  assert.deepEqual(parseVehicleHeatmapQuery({}), {
+    startDate: '2026-01-01',
+    endDate: '2026-07-13',
+    query: '',
+    batchModel: '',
+    metric: 'locations',
+  });
+  assert.deepEqual(parseVehicleHeatmapQuery({
+    startDate: '2026-06-01',
+    endDate: 'invalid',
+    query: '  粤A  ',
+    batchModel: '  190台冷链  ',
+    metric: 'vehicles',
+  }), {
+    startDate: '2026-06-01',
+    endDate: '2026-07-13',
+    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' },
+    ],
+  );
+});