107 lines
4.0 KiB
JavaScript
107 lines
4.0 KiB
JavaScript
process.env.CANGKU_SKIP_BOOTSTRAP = '1';
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const fs = require('fs');
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const path = require('path');
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const XLSX = require('xlsx');
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const cloudDb = require('../src/config/cloudDatabase');
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// 表格的 12 个流水列 → 配置字段名
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const FLOW_FIELDS = [
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['加工进仓', 'processIn'],
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['采购退货', 'purchaseReturn'],
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['采购进仓', 'purchaseIn'],
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['其它进仓', 'otherIn'],
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['其它退货', 'otherReturn'],
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['销售出仓', 'salesOut'],
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['盘点', 'stocktaking'],
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['加工出仓', 'processOut'],
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['调拨出', 'transferOut'],
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['销售退货', 'salesReturn'],
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['调拨入', 'transferIn'],
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['其它出库', 'otherOut'],
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];
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(async () => {
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const wb = XLSX.readFile('C:/Users/15018737611/Desktop/库存监控.xlsx');
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const rows = XLSX.utils.sheet_to_json(wb.Sheets['Sheet1'], { header: 1, defval: '' });
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const h = rows[0];
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const idx = Object.fromEntries(h.map((c, i) => [String(c).trim(), i]));
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const level1 = String(rows[1][idx['一级功能按键']]).trim();
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const level2 = String(rows[1][idx['二级功能按键']]).trim();
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console.log('一级功能:', level1, '| 二级功能:', level2);
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const whs = await cloudDb.query(`SELECT name, wms_co_id FROM rpt.jst_warehouseInfo`);
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const byName = new Map(whs.map((w) => [String(w.name).trim(), w.wms_co_id]));
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const records = [];
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const missing = [];
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for (const r of rows.slice(1)) {
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const sheetName = String(r[idx['仓库']] || '').trim();
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if (!sheetName) continue;
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const base = sheetName.replace(/主仓$/, '');
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const wmsCoId = byName.get(base) ?? byName.get(sheetName) ?? null;
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if (wmsCoId == null) missing.push(sheetName);
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const num = (k) => {
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const v = r[idx[k]];
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return typeof v === 'number' ? v : Number(String(v || '').replace(/,/g, '')) || 0;
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};
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const flows = Object.fromEntries(FLOW_FIELDS.map(([cn, en]) => [en, num(cn)]));
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const openExtra = r[idx['期初']]; // 第二个「期初」列，索引会与「期初数量」冲突，单独处理
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records.push({
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warehouse: sheetName,
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dbWarehouse: base,
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wmsCoId,
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openingQty: num('期初数量'),
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openingQtyExtra: typeof openExtra === 'number' ? openExtra : Number(openExtra) || 0,
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...flows,
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});
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}
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console.log('记录数:', records.length, '| 缺 wms_co_id:', missing.length, missing.join(',') || '(无)');
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const FLOW_COLUMNS_DEF = FLOW_FIELDS.map(([cn, en]) => ({ label: cn, field: en }));
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const out = `/**
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* 每日进销存 —— 2026-09-22 进销存基准流水
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*
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* 来源：桌面《库存监控.xlsx》（聚水潭 22 号进销存导出）
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* 用途：业务库 JSReportReplica 没有按天的历史库存结存表，也缺少调拨/盘点/加工/其它出入库
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* 单据表，期初与各流水列无法从业务库还原，故以该导出作为 22 号基准值。
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*
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* 口径约定：
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* - openingQty 与 12 个流水列：22 号基准值（本文件静态存储）
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* - 期末数量：运行时取 jst_inventoryInfo 实时库存（与本文件基准期末一致，24/25 精确）
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* - 库存周转天数 / 四级库存量：运行时由 pm_stockMonitor 计算
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*/
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/** 一级/二级菜单名（取自表格） */
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const DAILY_INVENTORY_LEVEL1 = '${level1}';
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const DAILY_INVENTORY_LEVEL2 = '${level2}';
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/** 基准数据日期 */
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const BASELINE_DATE = '2026-09-22';
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/** 12 个流水列的中文表头与字段映射（顺序与表格一致） */
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const FLOW_COLUMNS = ${JSON.stringify(FLOW_COLUMNS_DEF, null, 2)};
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/** 25 个仓库的 22 号基准流水 */
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const DAILY_INVENTORY_BASELINE = ${JSON.stringify(records, null, 2)};
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module.exports = {
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DAILY_INVENTORY_LEVEL1,
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DAILY_INVENTORY_LEVEL2,
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BASELINE_DATE,
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FLOW_COLUMNS,
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DAILY_INVENTORY_BASELINE,
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};
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`;
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const target = path.join(__dirname, '../src/config/dailyInventoryBaseline.js');
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fs.writeFileSync(target, out, 'utf8');
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console.log('已生成:', target);
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console.log('\n前 2 条预览:');
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console.log(JSON.stringify(records.slice(0, 2), null, 1));
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process.exit(0);
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})().catch((e) => { console.log('ERR', e.message); process.exit(1); });
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