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

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' },
    ],
  );
});