refactor: modularize application domains

src/modules/energy/hydrogen-daily/model.test.ts

@@ -0,0 +1,84 @@
+import assert from 'node:assert/strict';
+import test from 'node:test';
+import type { HydrogenDailyRow } from '../types.js';
+import {
+  getQuickRange,
+  getRangeModeLabel,
+  normalizeRange,
+  summarizeHydrogenRows,
+} from './model.js';
+
+test('快捷日期继续使用本地自然日并覆盖本周、本月和近15天', () => {
+  const now = new Date(2026, 7, 12, 23, 30);
+  assert.deepEqual(getQuickRange('thisWeek', now), {
+    start: '2026-08-10',
+    end: '2026-08-12',
+  });
+  assert.deepEqual(getQuickRange('thisMonth', now), {
+    start: '2026-08-01',
+    end: '2026-08-12',
+  });
+  assert.deepEqual(getQuickRange('last15', now), {
+    start: '2026-07-29',
+    end: '2026-08-12',
+  });
+});
+
+test('自定义日期倒置时仅交换查询边界', () => {
+  assert.deepEqual(normalizeRange('2026-08-12', '2026-08-01'), {
+    start: '2026-08-01',
+    end: '2026-08-12',
+  });
+  assert.equal(getRangeModeLabel('custom'), '自定义区间');
+  assert.equal(getRangeModeLabel('last15'), '近 15 天');
+});
+
+test('每日加氢统计保持排序、有效天、站点去重和峰谷口径', () => {
+  const rows: HydrogenDailyRow[] = [
+    {
+      date: '2026-08-12',
+      totalKg: 0,
+      chainPct: -1,
+      customerType: 'lingniu',
+      stations: [{ name: 'A站', kg: 0, pricePerKg: 0, chainPct: -1 }],
+    },
+    {
+      date: '2026-08-10',
+      totalKg: 100,
+      chainPct: 0,
+      customerType: 'lingniu',
+      stations: [{ name: 'A站', kg: 100, pricePerKg: 20, chainPct: 0 }],
+    },
+    {
+      date: '2026-08-11',
+      totalKg: 300,
+      chainPct: 2,
+      customerType: 'lingniu',
+      stations: [{ name: 'B站', kg: 300, pricePerKg: 25, chainPct: 2 }],
+    },
+  ];
+
+  const summary = summarizeHydrogenRows(rows);
+  assert.deepEqual(rows.map(row => row.date), ['2026-08-12', '2026-08-10', '2026-08-11']);
+  assert.deepEqual(summary.trendData.map(row => row.date), ['2026-08-10', '2026-08-11', '2026-08-12']);
+  assert.equal(summary.totalKg, 400);
+  assert.equal(summary.activeDays, 2);
+  assert.equal(summary.avgKg, 200);
+  assert.equal(summary.stationCount, 2);
+  assert.equal(summary.peakDay?.date, '2026-08-11');
+  assert.equal(summary.lowDay?.date, '2026-08-10');
+  assert.equal(summary.zeroDays, 1);
+});
+
+test('空数据保持零值且没有峰谷日', () => {
+  assert.deepEqual(summarizeHydrogenRows(null), {
+    trendData: [],
+    totalKg: 0,
+    activeDays: 0,
+    stationCount: 0,
+    avgKg: 0,
+    peakDay: null,
+    lowDay: null,
+    zeroDays: 0,
+  });
+});

src/modules/energy/hydrogen-daily/model.ts

@@ -0,0 +1,41 @@
+import type { HydrogenDailyRow } from '../types';
+
+export {
+  formatYmd,
+  getQuickRange,
+  getRangeModeLabel,
+  normalizeRange,
+  QUICK_PICK_OPTIONS,
+  type RangeMode,
+} from '../daily-range/model';
+
+export function summarizeHydrogenRows(rows: HydrogenDailyRow[] | null) {
+  const source = rows ?? [];
+  // 图表固定按日期升序；复制数组避免改变接口返回及表格原始顺序。
+  const trendData = [...source].sort((left, right) => left.date.localeCompare(right.date));
+  const totalKg = source.reduce((total, row) => total + row.totalKg, 0);
+  const activeDays = source.filter(row => row.totalKg > 0).length;
+  const stationNames = new Set<string>();
+  source.forEach(row => row.stations.forEach(station => stationNames.add(station.name)));
+  const peakDay = trendData.reduce<HydrogenDailyRow | null>(
+    (best, item) => (!best || item.totalKg > best.totalKg ? item : best),
+    null,
+  );
+  const lowDay = trendData
+    .filter(item => item.totalKg > 0)
+    .reduce<HydrogenDailyRow | null>(
+      (low, item) => (!low || item.totalKg < low.totalKg ? item : low),
+      null,
+    );
+
+  return {
+    trendData,
+    totalKg,
+    activeDays,
+    stationCount: stationNames.size,
+    avgKg: activeDays > 0 ? totalKg / activeDays : 0,
+    peakDay,
+    lowDay,
+    zeroDays: source.filter(row => row.totalKg === 0).length,
+  };
+}