process.env.CANGKU_SKIP_BOOTSTRAP = '1';
const fs = require('fs');
const path = require('path');
const XLSX = require('xlsx');
const cloudDb = require('../src/config/cloudDatabase');

// 表格的 12 个流水列 → 配置字段名
const FLOW_FIELDS = [
  ['加工进仓', 'processIn'],
  ['采购退货', 'purchaseReturn'],
  ['采购进仓', 'purchaseIn'],
  ['其它进仓', 'otherIn'],
  ['其它退货', 'otherReturn'],
  ['销售出仓', 'salesOut'],
  ['盘点', 'stocktaking'],
  ['加工出仓', 'processOut'],
  ['调拨出', 'transferOut'],
  ['销售退货', 'salesReturn'],
  ['调拨入', 'transferIn'],
  ['其它出库', 'otherOut'],
];

(async () => {
  const wb = XLSX.readFile('C:/Users/15018737611/Desktop/库存监控.xlsx');
  const rows = XLSX.utils.sheet_to_json(wb.Sheets['Sheet1'], { header: 1, defval: '' });
  const h = rows[0];
  const idx = Object.fromEntries(h.map((c, i) => [String(c).trim(), i]));

  const level1 = String(rows[1][idx['一级功能按键']]).trim();
  const level2 = String(rows[1][idx['二级功能按键']]).trim();
  console.log('一级功能:', level1, '| 二级功能:', level2);

  const whs = await cloudDb.query(`SELECT name, wms_co_id FROM rpt.jst_warehouseInfo`);
  const byName = new Map(whs.map((w) => [String(w.name).trim(), w.wms_co_id]));

  const records = [];
  const missing = [];
  for (const r of rows.slice(1)) {
    const sheetName = String(r[idx['仓库']] || '').trim();
    if (!sheetName) continue;
    const base = sheetName.replace(/主仓$/, '');
    const wmsCoId = byName.get(base) ?? byName.get(sheetName) ?? null;
    if (wmsCoId == null) missing.push(sheetName);

    const num = (k) => {
      const v = r[idx[k]];
      return typeof v === 'number' ? v : Number(String(v || '').replace(/,/g, '')) || 0;
    };

    const flows = Object.fromEntries(FLOW_FIELDS.map(([cn, en]) => [en, num(cn)]));
    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
    records.push({
      warehouse: sheetName,
      dbWarehouse: base,
      wmsCoId,
      openingQty: num('期初数量'),
      openingQtyExtra: typeof openExtra === 'number' ? openExtra : Number(openExtra) || 0,
      ...flows,
    });
  }

  console.log('记录数:', records.length, '| 缺 wms_co_id:', missing.length, missing.join(',') || '(无)');

  const FLOW_COLUMNS_DEF = FLOW_FIELDS.map(([cn, en]) => ({ label: cn, field: en }));
  const out = `/**
 * 每日进销存 —— 2026-09-22 进销存基准流水
 *
 * 来源：桌面《库存监控.xlsx》（聚水潭 22 号进销存导出）
 * 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
 *       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。
 *
 * 口径约定：
 *   - openingQty 与 12 个流水列：22 号基准值（本文件静态存储）
 *   - 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）
 *   - 库存周转天数 / 四级库存量：运行时由 pm_stockMonitor 计算
 */

/** 一级/二级菜单名（取自表格） */
const DAILY_INVENTORY_LEVEL1 = '${level1}';
const DAILY_INVENTORY_LEVEL2 = '${level2}';

/** 基准数据日期 */
const BASELINE_DATE = '2026-09-22';

/** 12 个流水列的中文表头与字段映射（顺序与表格一致） */
const FLOW_COLUMNS = ${JSON.stringify(FLOW_COLUMNS_DEF, null, 2)};

/** 25 个仓库的 22 号基准流水 */
const DAILY_INVENTORY_BASELINE = ${JSON.stringify(records, null, 2)};

module.exports = {
  DAILY_INVENTORY_LEVEL1,
  DAILY_INVENTORY_LEVEL2,
  BASELINE_DATE,
  FLOW_COLUMNS,
  DAILY_INVENTORY_BASELINE,
};
`;

  const target = path.join(__dirname, '../src/config/dailyInventoryBaseline.js');
  fs.writeFileSync(target, out, 'utf8');
  console.log('已生成:', target);
  console.log('\n前 2 条预览:');
  console.log(JSON.stringify(records.slice(0, 2), null, 1));
  process.exit(0);
})().catch((e) => { console.log('ERR', e.message); process.exit(1); });