youruo
0e77a70c33
业务库只能还原 4/12 个流水列且口径与聚水潭不一致（采购按单据日期、销售按订单发货日期， jst_salesOutboundInfo.qty 全为 0），调拨/盘点/加工/其它出入库无单据表，故以官方导出为准： - 新增本地表 daily_inventory_official（biz_date + warehouse 存期初/12 流水列/期末） - 新增解析与导入服务：xlsx 解析、仓库 ID 映射、「期初+流水=期末」恒等式校验 - GET /api/daily-inventory 支持 ?date= 指定业务日，官方值优先、缺失回退推算并返回来源标记 - 新增 POST /api/daily-inventory/official-import（xlsx 上传/JSON）与 GET /official 查询 - 导入后回写本地库存快照（官方期初→上一日期末、官方期末→当日期末），使推算也对齐 - 前端：业务日切换、官方/推算来源标记、导入弹窗、口径说明同步更新 - 仓库清单补入「简尚-横林三仓主仓」（聚水潭导出中存在） - 命令行导入：npm run inventory:import-official -- <日期> <xlsx>
98 lines
3.9 KiB
JavaScript
98 lines
3.9 KiB
JavaScript
#!/usr/bin/env node
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/**
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* 导入聚水潭「进销存按仓导出」到每日进销存校正表
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*
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* 用法：
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* node scripts/importDailyInventoryOfficial.js <业务日期> <xlsx 路径>
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* node scripts/importDailyInventoryOfficial.js 2026-09-26 ./进销存_按仓_20260926.xlsx
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*
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* 作用：
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* 1) 解析导出文件，校验「期初 + Σ流水 = 期末」逐仓闭合
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* 2) 写入本地表 daily_inventory_official（同一业务日整体覆盖）
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* 3) 回写本地快照：官方期初 → 上一业务日期末、官方期末 → 该业务日期末
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*
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* 页面右上角「导入聚水潭进销存」走的是同一个后端接口（POST /api/daily-inventory/official-import）。
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*/
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'use strict';
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const fs = require('fs');
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const path = require('path');
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const { parseWorkbook, importOfficial, checkBalance } = require('../src/services/dailyInventoryOfficial');
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const snapshotDb = require('../src/config/dailyInventorySnapshotDb');
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const { DAILY_INVENTORY_BASELINE } = require('../src/config/dailyInventoryBaseline');
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function prevDay(bizDate) {
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const d = new Date(`${bizDate}T00:00:00Z`);
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d.setUTCDate(d.getUTCDate() - 1);
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return d.toISOString().slice(0, 10);
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}
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async function main() {
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const [bizDate, file] = process.argv.slice(2);
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if (!bizDate || !/^\d{4}-\d{2}-\d{2}$/.test(bizDate)) {
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console.error('用法: node scripts/importDailyInventoryOfficial.js <业务日期 YYYY-MM-DD> <xlsx 路径>');
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process.exit(1);
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}
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if (!file || !fs.existsSync(file)) {
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console.error(`文件不存在: ${file}`);
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process.exit(1);
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}
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const { rows, warnings, sheetName } = parseWorkbook(fs.readFileSync(file));
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console.log(`解析 ${path.basename(file)} [${sheetName}]：${rows.length} 行，提示：${warnings.join('；') || '无'}`);
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if (!rows.length) {
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console.error('未解析到仓库行，已中止');
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process.exit(1);
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}
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const mismatches = checkBalance(rows);
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if (mismatches.length) {
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console.warn(`⚠ 以下 ${mismatches.length} 个仓「期初 + 流水 ≠ 期末」：`);
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mismatches.forEach((m) => console.warn(` ${m.warehouse}: 差 ${m.diff}`));
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} else {
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console.log('恒等式校验：期初 + 流水 = 期末，逐仓闭合 ✓');
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}
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const result = await importOfficial(bizDate, rows);
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console.log(`写入 official：${result.imported} 行（${bizDate}）`);
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if (result.unknownWarehouses.length) {
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console.warn(`⚠ 未匹配到仓库 ID（仅按仓库名存档）：${result.unknownWarehouses.join('、')}`);
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}
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if (result.missingWarehouses.length) {
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console.warn(`⚠ 清单中未出现在导出里的仓库：${result.missingWarehouses.join('、')}`);
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}
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const byId = new Map(DAILY_INVENTORY_BASELINE.map((b) => [String(b.wmsCoId), b]));
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const known = rows.filter((r) => r.wmsCoId != null);
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const prevDate = prevDay(bizDate);
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const prev = await snapshotDb.fetchSnapshot(prevDate);
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const prevCount = await snapshotDb.upsertSnapshot(prevDate, known
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.filter((r) => r.openingQty != null)
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.map((r) => ({
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wmsCoId: r.wmsCoId,
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warehouse: r.warehouse,
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dbWarehouse: byId.get(String(r.wmsCoId))?.dbWarehouse || null,
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closingQty: Number(r.openingQty),
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skuCount: Number(prev.get(String(r.wmsCoId))?.skuCount || 0),
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takenAt: null,
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})));
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const current = await snapshotDb.fetchSnapshot(bizDate);
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const currentCount = await snapshotDb.upsertSnapshot(bizDate, known
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.filter((r) => r.closingQty != null)
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.map((r) => ({
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wmsCoId: r.wmsCoId,
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warehouse: r.warehouse,
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dbWarehouse: byId.get(String(r.wmsCoId))?.dbWarehouse || null,
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closingQty: Number(r.closingQty),
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skuCount: Number(current.get(String(r.wmsCoId))?.skuCount || 0),
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takenAt: null,
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})));
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console.log(`快照回写：${prevDate}（官方期初 → 期末）${prevCount} 行，${bizDate}（官方期末）${currentCount} 行`);
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process.exit(0);
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}
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main().catch((e) => {
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console.error('导入失败:', e.message);
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process.exit(1);
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});
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