refactor(stage16): 里程域移入 repository，后端分层全部完成
改动
- 新增 mileage/repository.ts：18 个查询函数，覆盖
vehicle-info（含搬走的 VEHICLE_INFO_SQL 共享常量）、trend、监控缓存、targets（8 条）、
daily-report-store（5 条）、daily-report-service。
- 6 个含 SQL 的文件改为调用 repository；路由/服务层不再出现 SQL 文本。
- 日报写入的两个函数改为返回 affectedRows（调用方本来只用它），而不是行数组。
- 架构守护的"已完整分层"清单加入 mileage —— 至此八个域全部在守护范围内。
SQL 保持性验证
- 逐字比对：改造前 6 个文件里的 19 条 SQL 字面量，除"动态 INSERT 关键字"一处外，
全部在 repository.ts 中原样出现。
- 那一处是 `${insert} INTO ${TABLE}`（insert 为 'REPLACE' | 'INSERT IGNORE'），
改为 `${replace ? "REPLACE" : "INSERT IGNORE"}`；已渲染两个分支与原文本逐字比对，均为 identical。
验证
- 全量 lint / test(191) / build 全绿，可达性 0 未引用文件。
- 里程域的模型层测试（cache-model / oneos-model / daily-report-model）以及依赖里程的
调度、车辆热力图契约测试全部通过。
This commit is contained in:
dsh-agent
@@ -1,3 +1,13 @@
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import {
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loadAssessmentFirstYearStats,
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loadAssessmentPeriodStats,
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loadAssessmentTargetRows,
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loadAssessmentVehicleStats,
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loadAssessmentYearlyPeriodStats,
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loadAssessmentYearlyStats,
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loadTargetVehicleRows,
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loadYearlyAssessments,
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} from './repository.js';
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import { Hono } from 'hono';
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import pool from '../../db/mysql.js';
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import { getCache } from './cache.js';
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@@ -9,73 +19,19 @@ const app = new Hono();
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app.get('/', async (c) => {
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try {
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const [targets] = await pool.execute(
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'SELECT * FROM lingniu_prod.tab_mileage_assessment_target WHERE is_deleted = 0 ORDER BY id'
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) as [any[], unknown];
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const targets = await loadAssessmentTargetRows(pool);
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const [vehicleStats] = await pool.execute(`
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SELECT
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target_id, COUNT(*) as total,
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SUM(today_mileage) as today_total,
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SUM(current_mileage) as cumulative_total,
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AVG(current_year_completion_rate) as avg_completion,
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SUM(CASE WHEN is_qualified = 1 THEN 1 ELSE 0 END) as qualified_count,
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SUM(CASE WHEN current_year_is_qualified = 1 THEN 1 ELSE 0 END) as year_qualified_count,
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SUM(CASE WHEN current_year_completion_rate >= 0.5 THEN 1 ELSE 0 END) as half_qualified_count,
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SUM(current_year_mileage_task) as current_year_target,
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SUM(current_year_mileage) as current_year_completed,
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MAX(current_year_assessment_end_date) as year_end_date
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FROM lingniu_prod.tab_mileage_assessment_vehicle WHERE is_deleted = 0
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GROUP BY target_id
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`) as [any[], unknown];
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const vehicleStats = await loadAssessmentVehicleStats(pool);
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const statsMap = new Map<number, any>();
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for (const s of vehicleStats) statsMap.set(s.target_id, s);
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const [firstYearRows] = await pool.execute(`
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SELECT
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v.target_id,
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COUNT(*) as first_year_total,
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SUM(t.annual_mileage_per_vehicle) as first_year_target,
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SUM(LEAST(v.current_mileage, t.annual_mileage_per_vehicle)) as first_year_completed,
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SUM(GREATEST(t.annual_mileage_per_vehicle - v.current_mileage, 0)) as first_year_remaining,
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SUM(LEAST(v.current_mileage, t.annual_mileage_per_vehicle)) / NULLIF(SUM(t.annual_mileage_per_vehicle), 0) as first_year_completion_rate,
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SUM(CASE WHEN v.current_mileage >= t.annual_mileage_per_vehicle THEN 1 ELSE 0 END) as first_year_qualified_count,
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SUM(CASE WHEN v.current_mileage >= t.annual_mileage_per_vehicle * 0.5 THEN 1 ELSE 0 END) as first_year_half_qualified_count,
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DATE_FORMAT(MIN(v.assessment_start_date), '%Y-%m-%d') as first_year_start_date,
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DATE_FORMAT(MAX(DATE_SUB(DATE_ADD(v.assessment_start_date, INTERVAL 1 YEAR), INTERVAL 1 DAY)), '%Y-%m-%d') as first_year_end_date
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FROM lingniu_prod.tab_mileage_assessment_vehicle v
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JOIN lingniu_prod.tab_mileage_assessment_target t ON t.id = v.target_id AND t.is_deleted = 0
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WHERE v.is_deleted = 0
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GROUP BY v.target_id
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`) as [any[], unknown];
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const firstYearRows = await loadAssessmentFirstYearStats(pool);
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const firstYearMap = new Map<number, any>();
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for (const s of firstYearRows) firstYearMap.set(s.target_id, s);
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const [yearlyRows] = await pool.execute(`
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SELECT
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v.target_id,
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y.year_number,
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COUNT(*) as vehicle_count,
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SUM(t.annual_mileage_per_vehicle * y.year_number) as target_mileage,
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SUM(LEAST(v.current_mileage, t.annual_mileage_per_vehicle * y.year_number)) as completed_mileage,
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SUM(GREATEST(t.annual_mileage_per_vehicle * y.year_number - v.current_mileage, 0)) as remaining_mileage,
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SUM(LEAST(v.current_mileage, t.annual_mileage_per_vehicle * y.year_number))
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/ NULLIF(SUM(t.annual_mileage_per_vehicle * y.year_number), 0) as completion_rate,
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SUM(CASE WHEN v.current_mileage >= t.annual_mileage_per_vehicle * y.year_number THEN 1 ELSE 0 END) as qualified_count,
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SUM(CASE WHEN v.current_mileage >= t.annual_mileage_per_vehicle * y.year_number * 0.5 THEN 1 ELSE 0 END) as half_qualified_count,
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DATE_FORMAT(MIN(DATE_ADD(v.assessment_start_date, INTERVAL y.year_number - 1 YEAR)), '%Y-%m-%d') as start_date,
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DATE_FORMAT(MAX(DATE_SUB(DATE_ADD(v.assessment_start_date, INTERVAL y.year_number YEAR), INTERVAL 1 DAY)), '%Y-%m-%d') as end_date
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FROM lingniu_prod.tab_mileage_assessment_vehicle v
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JOIN lingniu_prod.tab_mileage_assessment_target t ON t.id = v.target_id AND t.is_deleted = 0
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JOIN (
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SELECT 1 as year_number UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5
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) y ON y.year_number <= LEAST(t.assessment_years, v.current_year_number)
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WHERE v.is_deleted = 0
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GROUP BY v.target_id, y.year_number
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ORDER BY v.target_id, y.year_number
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`) as [any[], unknown];
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const yearlyRows = await loadAssessmentYearlyStats(pool);
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const yearlyMap = new Map<number, any[]>();
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for (const row of yearlyRows) {
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@@ -84,22 +40,7 @@ app.get('/', async (c) => {
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yearlyMap.set(row.target_id, list);
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}
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const [yearlyPeriodRows] = await pool.execute(`
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SELECT
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v.target_id,
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y.year_number,
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DATE_FORMAT(DATE_ADD(v.assessment_start_date, INTERVAL y.year_number - 1 YEAR), '%Y-%m-%d') as start_date,
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DATE_FORMAT(DATE_SUB(DATE_ADD(v.assessment_start_date, INTERVAL y.year_number YEAR), INTERVAL 1 DAY), '%Y-%m-%d') as end_date,
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COUNT(*) as cnt
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FROM lingniu_prod.tab_mileage_assessment_vehicle v
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JOIN lingniu_prod.tab_mileage_assessment_target t ON t.id = v.target_id AND t.is_deleted = 0
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JOIN (
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SELECT 1 as year_number UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5
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) y ON y.year_number <= LEAST(t.assessment_years, v.current_year_number)
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WHERE v.is_deleted = 0
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GROUP BY v.target_id, y.year_number, v.assessment_start_date
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ORDER BY v.target_id, y.year_number, v.assessment_start_date
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`) as [any[], unknown];
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const yearlyPeriodRows = await loadAssessmentYearlyPeriodStats(pool);
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const yearlyPeriodsMap = new Map<string, string[]>();
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for (const row of yearlyPeriodRows) {
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@@ -109,15 +50,7 @@ app.get('/', async (c) => {
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yearlyPeriodsMap.set(key, list);
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}
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const [periodRows] = await pool.execute(`
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SELECT target_id,
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DATE_FORMAT(assessment_start_date, '%Y-%m-%d') as start_date,
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DATE_FORMAT(assessment_end_date, '%Y-%m-%d') as end_date,
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COUNT(*) as cnt
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FROM lingniu_prod.tab_mileage_assessment_vehicle WHERE is_deleted = 0
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GROUP BY target_id, assessment_start_date, assessment_end_date
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ORDER BY target_id, assessment_start_date
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`) as [any[], unknown];
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const periodRows = await loadAssessmentPeriodStats(pool);
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const periodsMap = new Map<number, string[]>();
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for (const p of periodRows) {
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@@ -134,9 +67,7 @@ app.get('/', async (c) => {
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}
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}
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const [targetVehicleRows] = await pool.execute(
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'SELECT target_id, plate_number FROM lingniu_prod.tab_mileage_assessment_vehicle WHERE is_deleted = 0'
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) as [{ target_id: number; plate_number: string }[], unknown];
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const targetVehicleRows = await loadTargetVehicleRows(pool);
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const targetIdPlatesMap = new Map<number, string[]>();
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for (const r of targetVehicleRows) {
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@@ -241,15 +172,7 @@ app.get('/:id/vehicles', async (c) => {
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const date = c.req.query('date') || '';
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try {
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const [rows] = await pool.execute(
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`SELECT plate_number, today_mileage, vehicle_total_mileage,
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completion_rate, is_qualified, current_year_is_qualified,
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daily_required_mileage
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FROM lingniu_prod.tab_mileage_assessment_vehicle
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WHERE target_id = ? AND is_deleted = 0
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ORDER BY today_mileage DESC`,
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[targetId]
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) as [any[], unknown];
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const rows = await loadYearlyAssessments(pool, { targetId });
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const plates: string[] = rows.map((r: any) => r.plate_number);
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const infoMap = await fetchVehicleInfoByPlates(plates);
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