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codex/ssa-
@ -1,153 +0,0 @@
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'use strict';
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/**
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* 用业务库（JSReportReplica）反算流水，校验已导入的聚水潭官方进销存数据。
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* 用法（先起隧道）: cd backend && node scripts/validateDailyInventoryFromBiz.js 2026-10-06
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*
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* 注意：业务库 jst_inventoryInfo 是 T-1 同步快照，只能精确校验「昨天」的期末；
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* 更早的历史日会带自然变动（实测 10-05 差 0.1%~1.2%），属正常。
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*/
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const mysql = require('mysql2/promise');
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const sql = require('mssql');
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const BIZ_DATE = process.argv[2] || '2026-10-06';
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const SYS = {
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host: '127.0.0.1',
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port: 13307,
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user: 'cangku_67c48c6660be787f',
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password: 'wIJugzi26RQHF4J4BgnwxCxxecp157goR93M_IXEhqc',
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database: 'shujuku2_system',
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};
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// 业务库能还原的 4 个流水列（与 dailyInventoryFlows.js 口径一致，这里加单日上界）
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const FLOWS = [
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{
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field: 'purchase_in',
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label: '采购进仓',
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sql: `SELECT p.wms_co_id AS wmsCoId, SUM(CAST(ISNULL(pi.qty,0) AS DECIMAL(18,2))) AS qty
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FROM rpt.jst_purchase p JOIN rpt.jst_purchaseItem pi ON pi.po_id = p.po_id
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WHERE p.wms_co_id IN (%W%) AND p.po_date >= @from AND p.po_date < @to
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AND ISNULL(p.status,'') IN ('Confirmed','Finished') GROUP BY p.wms_co_id`,
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},
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{
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field: 'purchase_return',
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label: '采购退货',
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sql: `SELECT o.wms_co_id AS wmsCoId, SUM(CAST(ISNULL(oi.qty,0) AS DECIMAL(18,2))) AS qty
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FROM rpt.jst_purchaseout o JOIN rpt.jst_purchaseoutItem oi ON oi.io_id = o.io_id
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WHERE o.wms_co_id IN (%W%) AND o.io_date >= @from AND o.io_date < @to
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GROUP BY o.wms_co_id`,
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},
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{
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field: 'sales_out',
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label: '销售出仓',
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sql: `SELECT o.wms_co_id AS wmsCoId, SUM(CAST(ISNULL(oi.qty,0) AS DECIMAL(18,2))) AS qty
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FROM rpt.jst_Orders o JOIN rpt.jst_OrderItem oi ON oi.o_id = o.o_id
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WHERE o.wms_co_id IN (%W%) AND o.send_date >= @from AND o.send_date < @to
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AND ISNULL(o.status,'') NOT IN ('Delete','Cancelled') GROUP BY o.wms_co_id`,
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},
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{
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field: 'sales_return',
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label: '销售退货',
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sql: `SELECT r.wms_co_id AS wmsCoId, SUM(CAST(ISNULL(ri.r_qty,0) AS DECIMAL(18,2))) AS qty
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FROM rpt.jst_returnAndRefundInfo r JOIN rpt.jst_returnAndRefundItem ri ON ri.as_id = r.as_id
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WHERE r.wms_co_id IN (%W%) AND r.as_date >= @from AND r.as_date < @to
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AND ISNULL(r.type,'') IN (N'普通退货',N'拒收退货',N'换货',N'维修') GROUP BY r.wms_co_id`,
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},
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];
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(async () => {
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const sys = await mysql.createConnection(SYS);
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const [official] = await sys.query(
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'SELECT wms_co_id, warehouse, opening_qty, closing_qty, purchase_in, purchase_return, sales_out, sales_return FROM daily_inventory_official WHERE DATE(biz_date)=? ORDER BY closing_qty DESC',
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[BIZ_DATE]
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);
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if (!official.length) {
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console.log('官方表无 ' + BIZ_DATE + ' 数据');
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await sys.end();
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return;
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}
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const ids = official.map((r) => String(r.wms_co_id)).filter(Boolean);
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const clause = ids.map((_, i) => '@w' + i).join(',');
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const wparams = {};
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ids.forEach((v, i) => (wparams['w' + i] = v));
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// 业务库凭据从系统库 database_configs 现取（不落盘）
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const [cfgRows] = await sys.query(
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"SELECT host, port, database_name, username, password FROM database_configs WHERE name='cloud_database_public' LIMIT 1"
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);
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const biz = cfgRows[0];
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await sql.connect({
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server: biz.host,
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port: Number(biz.port),
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database: biz.database_name,
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user: biz.username,
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password: biz.password,
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options: { encrypt: false, trustServerCertificate: true },
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connectionTimeout: 20000,
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requestTimeout: 180000,
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});
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const from = BIZ_DATE + ' 00:00:00';
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const d = new Date(BIZ_DATE + 'T00:00:00Z');
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d.setUTCDate(d.getUTCDate() + 1);
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const to = d.toISOString().slice(0, 10) + ' 00:00:00';
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const computed = {};
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for (const f of FLOWS) {
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const req = new sql.Request();
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req.input('from', sql.DateTime, new Date(from));
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req.input('to', sql.DateTime, new Date(to));
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ids.forEach((v, i) => req.input('w' + i, sql.NVarChar, v));
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const r = await req.query(f.sql.replace('%W%', clause));
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r.recordset.forEach((row) => {
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computed[String(row.wmsCoId)] = computed[String(row.wmsCoId)] || {};
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computed[String(row.wmsCoId)][f.field] = Number(row.qty) || 0;
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});
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}
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console.log('业务库口径反算 vs 聚水潭官方导出 —— ' + BIZ_DATE);
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console.log('（业务库仅能还原 4/12 列；采购退货/销售出仓为流出，官方值取绝对值比较）\n');
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const pad = (s, n) => String(s).padEnd(n);
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console.log(
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pad('仓库', 26) + pad('采购进仓 官方/业务库', 26) + pad('采购退货 官方/业务库', 26) + pad('销售出仓 官方/业务库', 26) + '销售退货 官方/业务库'
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);
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let diffs = { purchase_in: 0, sales_out: 0, purchase_return: 0, sales_return: 0 };
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for (const o of official) {
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const c = computed[String(o.wms_co_id)] || {};
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const cells = ['purchase_in', 'purchase_return', 'sales_out', 'sales_return'].map((k) => {
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const ov = Math.abs(Number(o[k]) || 0);
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const cv = Math.abs(Number(c[k]) || 0);
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if (Math.abs(ov - cv) > 0.005) diffs[k]++;
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return pad(ov + ' / ' + cv, 26);
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});
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console.log(pad(o.warehouse, 26) + cells.join(''));
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}
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console.log('\n不一致仓数：' + JSON.stringify(diffs) + ' / 共 ' + official.length + ' 仓');
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// 期末 vs 业务库实时库存（仅作量级参考，业务库只有实时库存）
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const req2 = new sql.Request();
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ids.forEach((v, i) => req2.input('w' + i, sql.NVarChar, v));
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const inv = await req2.query(
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`SELECT wms_co_id AS wmsCoId, SUM(CAST(ISNULL(qty,0) AS DECIMAL(18,2))) AS qty
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FROM rpt.jst_inventoryInfo WHERE wms_co_id IN (${clause}) GROUP BY wms_co_id`
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);
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const invMap = {};
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inv.recordset.forEach((r) => (invMap[String(r.wmsCoId)] = Number(r.qty) || 0));
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console.log('\n【参考】官方' + BIZ_DATE + '期末 vs 业务库实时库存（业务库无历史快照，仅看量级）');
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official
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.slice()
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.sort((a, b) => Number(b.closing_qty) - Number(a.closing_qty))
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.slice(0, 8)
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.forEach((o) => {
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const live = invMap[String(o.wms_co_id)] || 0;
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const off = Number(o.closing_qty) || 0;
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const pct = off ? (((live - off) / off) * 100).toFixed(1) : '-';
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console.log(pad(o.warehouse, 26) + '期末 ' + off + ' | 实时 ' + live + ' | 差 ' + pct + '%');
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});
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await sql.close();
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await sys.end();
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})().catch((e) => {
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console.log('FAIL', e.message);
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process.exit(1);
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});
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@ -1,134 +0,0 @@
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'use strict';
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const express = require('express');
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const multer = require('multer');
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const {
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clearPickBins,
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getPickBinMeta,
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getReplenishExportRows,
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getReplenishList,
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importPickBins,
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resolveWarehouseKey,
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} = require('../services/binReplenishService');
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const { sendWorkbookDownload } = require('../services/exportWorkbook');
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const router = express.Router();
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const upload = multer({
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storage: multer.memoryStorage(),
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limits: { fileSize: 20 * 1024 * 1024 },
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});
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const EXPORT_COLUMNS = [
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{ key: 'skuId', title: '商品编码' },
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{ key: 'productName', title: '品名' },
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{ key: 'supplier', title: '供应商' },
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{ key: 'statusLabel', title: '状态' },
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{ key: 'pickQty', title: '拣货位库存' },
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{ key: 'storageQty', title: '存货位库存' },
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{ key: 'totalQty', title: '现有库存合计' },
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{ key: 'targetQty', title: '目标拣货位库存' },
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{ key: 'suggestQty', title: '建议补货量' },
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{ key: 'avgSale', title: '近15天日销' },
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{ key: 'pickBinText', title: '拣货位（货位号/数量）' },
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{ key: 'storageBinText', title: '存货位（前5个/数量）' },
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];
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/** GET /api/bin-replenish/list —— 缺货补货监控列表 */
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router.get('/list', async (req, res, next) => {
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try {
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const payload = await getReplenishList({
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warehouse: req.query.warehouse,
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keyword: req.query.keyword,
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status: req.query.status,
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page: req.query.page,
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pageSize: req.query.pageSize,
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targetDays: req.query.targetDays,
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refresh: req.query.refresh,
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});
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res.json({ success: true, data: payload });
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} catch (error) {
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next(error);
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}
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});
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/** GET /api/bin-replenish/export —— 服务端全量导出 */
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router.get('/export', async (req, res, next) => {
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try {
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const format = String(req.query.format || 'xlsx').toLowerCase() === 'csv' ? 'csv' : 'xlsx';
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const payload = await getReplenishExportRows({
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warehouse: req.query.warehouse,
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keyword: req.query.keyword,
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status: req.query.status,
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targetDays: req.query.targetDays,
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});
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const rows = payload.rows.map((row) => ({
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...row,
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pickBinText: (row.pickBins || []).map((item) => `${item.bin}(${item.qty})`).join('、'),
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storageBinText: (row.storageBins || []).map((item) => `${item.bin}(${item.qty})`).join('、'),
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}));
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sendWorkbookDownload(res, {
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fileName: `${payload.warehouse.shortName}缺货补货监控_${new Date().toISOString().slice(0, 10)}`,
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format,
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sheets: [{
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name: '缺货补货监控',
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header: EXPORT_COLUMNS.map((column) => column.title),
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rows: rows.map((row) => EXPORT_COLUMNS.map((column) => row[column.key])),
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}],
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});
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} catch (error) {
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next(error);
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}
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});
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/** GET /api/bin-replenish/pick-bins —— 当前仓库的拣货位清单概况 */
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router.get('/pick-bins', async (req, res, next) => {
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try {
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const meta = await getPickBinMeta(resolveWarehouseKey(req.query.warehouse));
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res.json({ success: true, data: meta });
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} catch (error) {
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next(error);
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}
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});
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/** POST /api/bin-replenish/pick-bins —— 导入拣货位清单（xlsx / xls / csv / txt） */
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router.post('/pick-bins', upload.single('file'), async (req, res, next) => {
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try {
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if (!req.file || !req.file.buffer) {
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res.status(400).json({ success: false, message: '请选择要导入的货位清单文件（xlsx / xls / csv）' });
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return;
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}
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// multer 按 latin1 解析 multipart 文件名，中文会乱码，这里转回 UTF-8
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const rawName = req.file.originalname || '';
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const fileName = /[\u00c0-\u00ff]/.test(rawName)
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? Buffer.from(rawName, 'latin1').toString('utf8')
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: rawName;
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const result = await importPickBins({
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buffer: req.file.buffer,
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fileName,
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warehouseKey: req.body?.warehouse || req.query.warehouse,
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importedBy: req.user?.username || req.user?.name || null,
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});
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res.json({ success: true, data: result });
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} catch (error) {
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next(error);
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}
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});
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/** DELETE /api/bin-replenish/pick-bins —— 清除货位清单，回到回退口径 */
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router.delete('/pick-bins', async (req, res, next) => {
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try {
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const result = await clearPickBins(req.query.warehouse);
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res.json({ success: true, data: result });
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} catch (error) {
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next(error);
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||||||
}
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});
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/** GET /api/bin-replenish/ping —— 路由存活探针（401 也代表已注册） */
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router.get('/ping', (req, res) => {
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res.json({ success: true, data: { ok: true } });
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});
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module.exports = router;
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@ -1,282 +0,0 @@
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const express = require('express');
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const cloudDb = require('../config/cloudDatabase');
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const { DAILY_INVENTORY_BASELINE } = require('../config/dailyInventoryBaseline');
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const {
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PICKING_BIN_GRADE_RULES,
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PICKING_BIN_WINDOW_OPTIONS,
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PICKING_BIN_DEFAULT_DAYS,
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PICKING_BIN_TOTAL_LABEL,
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PICKING_BIN_BIN_TYPES,
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} = require('../config/pickingBinSalesAnalysis');
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const { fetchPickingBinSkuRows } = require('../services/pickingBinSalesAnalysis');
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||||||
const { sendWorkbookDownload } = require('../services/exportWorkbook');
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||||||
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||||||
const router = express.Router();
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||||||
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||||||
/** 库存衡量基准时刻：快照日次日 01:00（报表库每日凌晨跑批，标注 T-1） */
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||||||
const AS_OF_TIME = '01:00';
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||||||
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|
||||||
/** 结果缓存：一次要扫订单明细 + 仓位明细两张大表，避免连续刷新重复打库 */
|
|
||||||
const RESULT_CACHE_TTL_MS = 5 * 60 * 1000;
|
|
||||||
const cacheByKey = new Map();
|
|
||||||
|
|
||||||
const round2 = (v) => Math.round((Number(v) || 0) * 100) / 100;
|
|
||||||
const round4 = (v) => Math.round((Number(v) || 0) * 10000) / 10000;
|
|
||||||
|
|
||||||
/** 快照日 + 次日 01:00 作为统一的统计基准时刻 */
|
|
||||||
function nextDayAsOf(bizDate) {
|
|
||||||
if (!bizDate || !/^\d{4}-\d{2}-\d{2}$/.test(bizDate)) return null;
|
|
||||||
const d = new Date(`${bizDate}T00:00:00Z`);
|
|
||||||
d.setUTCDate(d.getUTCDate() + 1);
|
|
||||||
return `${d.toISOString().slice(0, 10)} ${AS_OF_TIME}`;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 发货窗口：[asOf - N 天, asOf) */
|
|
||||||
function buildShipWindow(asOf, days) {
|
|
||||||
const to = new Date(`${asOf.slice(0, 10)}T${AS_OF_TIME}:00Z`);
|
|
||||||
const from = new Date(to.getTime() - days * 86400000);
|
|
||||||
const fmt = (dt) => dt.toISOString().slice(0, 19).replace('T', ' ');
|
|
||||||
return { shipFrom: fmt(from), shipTo: fmt(to) };
|
|
||||||
}
|
|
||||||
|
|
||||||
async function fetchLatestBizDate() {
|
|
||||||
const rows = await cloudDb.query(
|
|
||||||
`SELECT MAX(CONVERT(VARCHAR(10), date, 23)) AS d FROM rpt.pm_stockMonitor`
|
|
||||||
);
|
|
||||||
return rows[0]?.d || null;
|
|
||||||
}
|
|
||||||
|
|
||||||
async function fetchBinTakenAt() {
|
|
||||||
const rows = await cloudDb.query(
|
|
||||||
`SELECT MAX(updateTime) AS takenAt FROM rpt.jst_packInventoryInfo`
|
|
||||||
);
|
|
||||||
return rows[0]?.takenAt || null;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 解析并收敛统计窗口天数，只允许白名单内的取值 */
|
|
||||||
function resolveDays(raw) {
|
|
||||||
const n = Number.parseInt(String(raw ?? ''), 10);
|
|
||||||
return PICKING_BIN_WINDOW_OPTIONS.includes(n) ? n : PICKING_BIN_DEFAULT_DAYS;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 解析仓库过滤，只允许出现在仓库清单里的 wmsCoId，防止任意拼参 */
|
|
||||||
function resolveWarehouses(raw) {
|
|
||||||
const known = DAILY_INVENTORY_BASELINE.filter((b) => b.wmsCoId != null);
|
|
||||||
const requested = String(raw || '')
|
|
||||||
.split(',')
|
|
||||||
.map((v) => v.trim())
|
|
||||||
.filter(Boolean);
|
|
||||||
const picked = requested.length > 0
|
|
||||||
? known.filter((b) => requested.includes(String(b.wmsCoId)))
|
|
||||||
: known;
|
|
||||||
return picked;
|
|
||||||
}
|
|
||||||
|
|
||||||
const GRADE_MAP = new Map(PICKING_BIN_GRADE_RULES.map((g) => [g.key, g]));
|
|
||||||
|
|
||||||
/** 明细行按「仓库 × 商品编码」去重后的商品个数 */
|
|
||||||
function dedupeCount(list) {
|
|
||||||
return new Set(list.map((it) => `${it.wmsCoId}::${it.skuId}`)).size;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* GET /api/picking-bin-sales-analysis
|
|
||||||
* 拣选库位动销分析：仓库 × 仓位 × 商品编码 → 库存数量 / 商品销量 / 商品日销 / 动销等级
|
|
||||||
* 动销等级按「商品日销」判定（商品整档销量 ÷ 天数），不做仓位分摊。
|
|
||||||
*/
|
|
||||||
router.get('/', async (req, res) => {
|
|
||||||
try {
|
|
||||||
const force = String(req.query?.refresh || '') === '1';
|
|
||||||
const days = resolveDays(req.query?.days);
|
|
||||||
const warehouses = resolveWarehouses(req.query?.wmsCoId);
|
|
||||||
const wmsCoIds = warehouses.map((b) => String(b.wmsCoId));
|
|
||||||
|
|
||||||
const cacheKey = `${days}::${wmsCoIds.join('|')}`;
|
|
||||||
const latestBizDate = await fetchLatestBizDate().catch(() => null);
|
|
||||||
const cached = cacheByKey.get(cacheKey);
|
|
||||||
if (!force && cached && cached.latestBizDate === latestBizDate
|
|
||||||
&& Date.now() - cached.at < RESULT_CACHE_TTL_MS) {
|
|
||||||
return res.json({ success: true, data: cached.payload, cached: true });
|
|
||||||
}
|
|
||||||
|
|
||||||
const asOf = nextDayAsOf(latestBizDate);
|
|
||||||
if (!asOf) {
|
|
||||||
return res.status(503).json({
|
|
||||||
success: false,
|
|
||||||
error: '业务库暂无库存监控数据，无法定位统计基准日',
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
const { shipFrom, shipTo } = buildShipWindow(asOf, days);
|
|
||||||
const [rows, takenAt] = await Promise.all([
|
|
||||||
fetchPickingBinSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days }),
|
|
||||||
fetchBinTakenAt().catch(() => null),
|
|
||||||
]);
|
|
||||||
|
|
||||||
const whMap = new Map(warehouses.map((b) => [String(b.wmsCoId), b.warehouse]));
|
|
||||||
const items = rows.map((r) => ({
|
|
||||||
wmsCoId: r.wmsCoId,
|
|
||||||
binName: r.binName,
|
|
||||||
binType: r.binType,
|
|
||||||
skuId: r.skuId,
|
|
||||||
warehouse: whMap.get(r.wmsCoId) || r.wmsCoId,
|
|
||||||
stockQty: r.stockQty,
|
|
||||||
skuCount: r.skuCount,
|
|
||||||
salesQty: round2(r.salesQty),
|
|
||||||
dailySales: round4(r.dailySales),
|
|
||||||
gradeKey: r.gradeKey,
|
|
||||||
gradeLabel: GRADE_MAP.get(r.gradeKey)?.label || '',
|
|
||||||
}));
|
|
||||||
|
|
||||||
// 每个「仓库 × 商品」只计一次销量，避免同一商品跨多个仓位被重复累加
|
|
||||||
const skuSalesMap = new Map();
|
|
||||||
rows.forEach((r) => {
|
|
||||||
const key = `${r.wmsCoId}::${r.skuId}`;
|
|
||||||
if (!skuSalesMap.has(key)) skuSalesMap.set(key, r.salesQty);
|
|
||||||
});
|
|
||||||
const dedupeSales = (list) => {
|
|
||||||
const seen = new Set();
|
|
||||||
return list.reduce((acc, it) => {
|
|
||||||
const key = `${it.wmsCoId}::${it.skuId}`;
|
|
||||||
if (seen.has(key)) return acc;
|
|
||||||
seen.add(key);
|
|
||||||
return acc + (skuSalesMap.get(key) || 0);
|
|
||||||
}, 0);
|
|
||||||
};
|
|
||||||
|
|
||||||
// 各动销等级汇总：商品数按「仓库 × 商品」去重，库存按明细行求和（无重复）
|
|
||||||
const summary = PICKING_BIN_GRADE_RULES.map((grade) => {
|
|
||||||
const hit = items.filter((it) => it.gradeKey === grade.key);
|
|
||||||
const salesQty = round2(dedupeSales(hit));
|
|
||||||
return {
|
|
||||||
key: grade.key,
|
|
||||||
label: grade.label,
|
|
||||||
tip: grade.tip,
|
|
||||||
rowCount: hit.length,
|
|
||||||
skuCount: dedupeCount(hit),
|
|
||||||
stockQty: round2(hit.reduce((acc, it) => acc + it.stockQty, 0)),
|
|
||||||
salesQty,
|
|
||||||
dailySales: round4(salesQty / days),
|
|
||||||
};
|
|
||||||
});
|
|
||||||
|
|
||||||
const dedupeAll = new Set(items.map((it) => `${it.wmsCoId}::${it.skuId}`));
|
|
||||||
const totalSales = round2(dedupeSales(items));
|
|
||||||
const total = {
|
|
||||||
key: '__total__',
|
|
||||||
label: PICKING_BIN_TOTAL_LABEL,
|
|
||||||
rowCount: items.length,
|
|
||||||
skuCount: dedupeAll.size,
|
|
||||||
stockQty: round2(summary.reduce((acc, s) => acc + s.stockQty, 0)),
|
|
||||||
salesQty: totalSales,
|
|
||||||
dailySales: round4(totalSales / days),
|
|
||||||
};
|
|
||||||
|
|
||||||
const payload = {
|
|
||||||
days,
|
|
||||||
windowOptions: PICKING_BIN_WINDOW_OPTIONS,
|
|
||||||
binTypes: [...PICKING_BIN_BIN_TYPES],
|
|
||||||
binTypeOptions: [...PICKING_BIN_BIN_TYPES],
|
|
||||||
latestBizDate,
|
|
||||||
asOf,
|
|
||||||
shipWindow: { shipFrom, shipTo, days },
|
|
||||||
takenAt,
|
|
||||||
grades: PICKING_BIN_GRADE_RULES.map((g) => ({ key: g.key, label: g.label, tip: g.tip })),
|
|
||||||
totalLabel: PICKING_BIN_TOTAL_LABEL,
|
|
||||||
warehouses: warehouses.map((b) => ({ wmsCoId: String(b.wmsCoId), warehouse: b.warehouse })),
|
|
||||||
items,
|
|
||||||
summary,
|
|
||||||
total,
|
|
||||||
};
|
|
||||||
|
|
||||||
cacheByKey.set(cacheKey, { latestBizDate, at: Date.now(), payload });
|
|
||||||
return res.json({ success: true, data: payload });
|
|
||||||
} catch (error) {
|
|
||||||
console.error('[picking-bin-sales-analysis] 查询失败:', error.message);
|
|
||||||
return res.status(500).json({
|
|
||||||
success: false,
|
|
||||||
error: '拣选库位动销分析数据查询失败',
|
|
||||||
detail: error.message,
|
|
||||||
});
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
/**
|
|
||||||
* GET /api/picking-bin-sales-analysis/export
|
|
||||||
* 导出库位明细（只含拣选位）。query: days、wmsCoId（逗号分隔）、grade（逗号分隔）、format（xlsx|csv）
|
|
||||||
*/
|
|
||||||
router.get('/export', async (req, res) => {
|
|
||||||
try {
|
|
||||||
const days = resolveDays(req.query?.days);
|
|
||||||
const warehouses = resolveWarehouses(req.query?.wmsCoId);
|
|
||||||
const wmsCoIds = warehouses.map((b) => String(b.wmsCoId));
|
|
||||||
const format = String(req.query?.format || 'xlsx').toLowerCase() === 'csv' ? 'csv' : 'xlsx';
|
|
||||||
|
|
||||||
const grades = String(req.query?.grade || '')
|
|
||||||
.split(',')
|
|
||||||
.map((v) => v.trim())
|
|
||||||
.filter((v) => GRADE_MAP.has(v));
|
|
||||||
|
|
||||||
const latestBizDate = await fetchLatestBizDate().catch(() => null);
|
|
||||||
const asOf = nextDayAsOf(latestBizDate);
|
|
||||||
if (!asOf) {
|
|
||||||
return res.status(503).json({
|
|
||||||
success: false,
|
|
||||||
error: '业务库暂无库存监控数据，无法定位统计基准日',
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
const { shipFrom, shipTo } = buildShipWindow(asOf, days);
|
|
||||||
// 导出按「仓位 × 商品编码」拆行：一个仓位有 N 个商品就输出 N 行
|
|
||||||
const rows = await fetchPickingBinSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days });
|
|
||||||
|
|
||||||
const whMap = new Map(warehouses.map((b) => [String(b.wmsCoId), b.warehouse]));
|
|
||||||
const filtered = grades.length > 0
|
|
||||||
? rows.filter((r) => grades.includes(r.gradeKey))
|
|
||||||
: rows;
|
|
||||||
|
|
||||||
const sheetRows = filtered.map((r) => [
|
|
||||||
whMap.get(r.wmsCoId) || r.wmsCoId,
|
|
||||||
r.binName,
|
|
||||||
r.binType,
|
|
||||||
r.skuId,
|
|
||||||
r.stockQty,
|
|
||||||
r.skuCount,
|
|
||||||
round2(r.salesQty),
|
|
||||||
round4(r.allocatedSalesQty),
|
|
||||||
round4(r.dailySales),
|
|
||||||
GRADE_MAP.get(r.gradeKey)?.label || r.gradeKey,
|
|
||||||
days,
|
|
||||||
latestBizDate || '',
|
|
||||||
]);
|
|
||||||
|
|
||||||
const fileName = `拣选库位动销分析-${(latestBizDate || '').replace(/-/g, '') || '未知日期'}`;
|
|
||||||
const { totalRows } = sendWorkbookDownload(res, {
|
|
||||||
fileName,
|
|
||||||
format,
|
|
||||||
sheets: [{
|
|
||||||
name: '库位动销明细',
|
|
||||||
header: [
|
|
||||||
'仓库', '仓位', '类型', '商品编码', '库存数量', '仓位SKU数',
|
|
||||||
`商品销量(近${days}天)`, `分摊销量(近${days}天)`, '商品日销',
|
|
||||||
'动销等级', '统计天数', '统计基准日',
|
|
||||||
],
|
|
||||||
rows: sheetRows,
|
|
||||||
}],
|
|
||||||
});
|
|
||||||
console.log(`[picking-bin-sales-analysis] 导出: ${totalRows} 行, 仓库 ${wmsCoIds.length} 个, 仅拣选位, 窗口 ${days} 天`);
|
|
||||||
return null;
|
|
||||||
} catch (error) {
|
|
||||||
console.error('[picking-bin-sales-analysis] 导出失败:', error.message);
|
|
||||||
if (!res.headersSent) {
|
|
||||||
return res.status(500).json({
|
|
||||||
success: false,
|
|
||||||
error: '拣选库位动销分析导出失败',
|
|
||||||
detail: error.message,
|
|
||||||
});
|
|
||||||
}
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
module.exports = router;
|
|
||||||
@ -243,7 +243,6 @@ router.get('/zero-sales-export', async (req, res) => {
|
|||||||
base?.warehouse || r.wmsCoId,
|
base?.warehouse || r.wmsCoId,
|
||||||
r.skuId,
|
r.skuId,
|
||||||
r.skuName,
|
r.skuName,
|
||||||
r.binName,
|
|
||||||
r.stockQty,
|
r.stockQty,
|
||||||
r.salesQty,
|
r.salesQty,
|
||||||
days,
|
days,
|
||||||
@ -258,7 +257,7 @@ router.get('/zero-sales-export', async (req, res) => {
|
|||||||
format,
|
format,
|
||||||
sheets: [{
|
sheets: [{
|
||||||
name: '销售=0明细',
|
name: '销售=0明细',
|
||||||
header: ['仓库', 'SKU编码', 'SKU名称', '系统仓位', '库存数量', `销量(近${days}天)`, '统计天数', '统计基准日'],
|
header: ['仓库', 'SKU编码', 'SKU名称', '库存数量', `销量(近${days}天)`, '统计天数', '统计基准日'],
|
||||||
rows: sheetRows,
|
rows: sheetRows,
|
||||||
}],
|
}],
|
||||||
});
|
});
|
||||||
|
|||||||
@ -1,173 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓储中心物流转运异常 —— HTTP 路由（2026-10-21 新增）
|
|
||||||
* ────────────────────────────────────────────────────────────────────────────
|
|
||||||
* GET /api/warehouse-logistics-exception/list
|
|
||||||
* query:
|
|
||||||
* date 核验日 'YYYY-MM-DD'（默认：已过 09:00 用今天，否则用昨天）
|
|
||||||
* limit 明细条数上限（默认 500，最大 2000）
|
|
||||||
* force 1 = 绕过 5 分钟结果缓存
|
|
||||||
* GET /api/warehouse-logistics-exception/export
|
|
||||||
* 同 /list 口径的不分页明细（导出用，上限 5000）
|
|
||||||
*
|
|
||||||
* 每天 09:10 推 Excel 到钉钉群（2026-10-22 新增）：
|
|
||||||
* GET /api/warehouse-logistics-exception/notify/settings 读配置（AppSecret 只回掩码）
|
|
||||||
* PUT /api/warehouse-logistics-exception/notify/settings 保存配置（AppSecret 留空=不变）
|
|
||||||
* POST /api/warehouse-logistics-exception/notify/run 立即推送一次（force / dryRun）
|
|
||||||
* GET /api/warehouse-logistics-exception/notify/state 上次推送结果
|
|
||||||
*
|
|
||||||
* 挂载见 src/index.js：`/api/warehouse-logistics-exception` + authMiddleware
|
|
||||||
*/
|
|
||||||
|
|
||||||
const express = require('express');
|
|
||||||
const {
|
|
||||||
getLogisticsExceptions,
|
|
||||||
getLogisticsExceptionExportRows,
|
|
||||||
} = require('../services/warehouseLogisticsExceptionService');
|
|
||||||
const {
|
|
||||||
CENTERS, EXCEPTION_TYPES, LOOKBACK_DAYS, VERIFY_HOUR,
|
|
||||||
} = require('../services/warehouseLogisticsExceptionRegistry');
|
|
||||||
const {
|
|
||||||
getWarehouseLogisticsExceptionNotifyAdminConfig,
|
|
||||||
loadWarehouseLogisticsExceptionNotifyState,
|
|
||||||
missingFields,
|
|
||||||
saveWarehouseLogisticsExceptionNotifyConfig,
|
|
||||||
getWarehouseLogisticsExceptionNotifyRuntimeConfig,
|
|
||||||
} = require('../services/warehouseLogisticsExceptionNotifySettings');
|
|
||||||
const {
|
|
||||||
pushWarehouseLogisticsExceptionNotify,
|
|
||||||
} = require('../jobs/warehouseLogisticsExceptionNotifyJob');
|
|
||||||
|
|
||||||
const router = express.Router();
|
|
||||||
|
|
||||||
function sendError(res, error, fallback) {
|
|
||||||
const status = Number(error?.statusCode) || 500;
|
|
||||||
console.error('[WarehouseLogisticsException]', {
|
|
||||||
message: error?.message || fallback,
|
|
||||||
code: error?.code || null,
|
|
||||||
status,
|
|
||||||
});
|
|
||||||
res.status(status).json({ success: false, error: error.message || fallback });
|
|
||||||
}
|
|
||||||
|
|
||||||
// 转运异常总览：12 个发货仓异常单量 + 明细
|
|
||||||
router.get('/list', async (req, res) => {
|
|
||||||
try {
|
|
||||||
const data = await getLogisticsExceptions(req.query || {});
|
|
||||||
res.json({ success: true, data });
|
|
||||||
} catch (error) {
|
|
||||||
sendError(res, error, '加载物流转运异常失败');
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
// 导出用：与 /list 同一套口径，只是把明细上限放开（不分页）
|
|
||||||
// 页面筛选（仓 / 异常类型）由前端用同一份过滤函数处理，保证导出的就是页面看到的
|
|
||||||
router.get('/export', async (req, res) => {
|
|
||||||
try {
|
|
||||||
const data = await getLogisticsExceptionExportRows(req.query || {});
|
|
||||||
res.json({ success: true, data });
|
|
||||||
} catch (error) {
|
|
||||||
sendError(res, error, '导出物流转运异常失败');
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
// 口径元数据（不查库，秒回）：页面文案与图例用它，避免前后端各写一套
|
|
||||||
router.get('/meta', (_req, res) => {
|
|
||||||
res.json({
|
|
||||||
success: true,
|
|
||||||
data: {
|
|
||||||
verifyHour: VERIFY_HOUR,
|
|
||||||
lookbackDays: LOOKBACK_DAYS,
|
|
||||||
centers: CENTERS.map((c) => ({ key: c.key, name: c.name })),
|
|
||||||
exceptionTypes: EXCEPTION_TYPES,
|
|
||||||
},
|
|
||||||
});
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── 每天推送到钉钉群 ────────────────────────────────────────────────────────
|
|
||||||
|
|
||||||
// 读配置：AppSecret 只回掩码 + 是否已配置，明文永不出后端
|
|
||||||
router.get('/notify/settings', async (_req, res) => {
|
|
||||||
try {
|
|
||||||
const [config, state] = await Promise.all([
|
|
||||||
getWarehouseLogisticsExceptionNotifyAdminConfig(),
|
|
||||||
loadWarehouseLogisticsExceptionNotifyState(),
|
|
||||||
]);
|
|
||||||
res.json({ success: true, data: { ...config, lastState: state || {} } });
|
|
||||||
} catch (error) {
|
|
||||||
sendError(res, error, '读取异常通知配置失败');
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
// 保存配置；AppSecret 留空表示「沿用已存的」，不必每次重填
|
|
||||||
router.put('/notify/settings', async (req, res) => {
|
|
||||||
try {
|
|
||||||
const data = await saveWarehouseLogisticsExceptionNotifyConfig(req.body || {});
|
|
||||||
res.json({ success: true, data });
|
|
||||||
} catch (error) {
|
|
||||||
const status = Number(error?.status) || 400;
|
|
||||||
console.error('[WarehouseLogisticsException] 保存通知配置失败:', error?.message);
|
|
||||||
res.status(status).json({ success: false, error: error.message || '保存异常通知配置失败' });
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
router.get('/notify/state', async (_req, res) => {
|
|
||||||
try {
|
|
||||||
const state = await loadWarehouseLogisticsExceptionNotifyState();
|
|
||||||
res.json({ success: true, data: state || {} });
|
|
||||||
} catch (error) {
|
|
||||||
sendError(res, error, '读取推送状态失败');
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 立即推送一次（页面「立即推送」/「预览」/「测试通道」）。
|
|
||||||
* body:
|
|
||||||
* dryRun true = 只组装消息、不发送（返回正文全文，业务先核对口径）
|
|
||||||
* probe true = 只发一句「通道测试」文本，不查业务数据（验 webhook 通不通）
|
|
||||||
* force true = 忽略「今天已经推过」（默认手动触发就是 true，除非显式给 false）
|
|
||||||
* date 指定核验日
|
|
||||||
*/
|
|
||||||
router.post('/notify/run', async (req, res) => {
|
|
||||||
try {
|
|
||||||
const body = req.body || {};
|
|
||||||
const dryRun = body.dryRun === true || body.dryRun === 'true';
|
|
||||||
const probe = body.probe === true || body.probe === 'true';
|
|
||||||
const force = body.force === undefined ? true : (body.force === true || body.force === 'true');
|
|
||||||
if (!dryRun) {
|
|
||||||
const config = await getWarehouseLogisticsExceptionNotifyRuntimeConfig({ forceRefresh: true });
|
|
||||||
const missing = missingFields(config);
|
|
||||||
if (missing.length) {
|
|
||||||
res.status(400).json({
|
|
||||||
success: false,
|
|
||||||
error: `请先补全并保存：${missing.join(' / ')}`,
|
|
||||||
data: { missingFields: missing },
|
|
||||||
});
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
const result = await pushWarehouseLogisticsExceptionNotify({
|
|
||||||
dryRun,
|
|
||||||
probe,
|
|
||||||
force,
|
|
||||||
date: body.date || undefined,
|
|
||||||
});
|
|
||||||
// 查完这一轮记得让页面上的状态同步（lastState 由前端重新拉 settings 获取）
|
|
||||||
res.json({ success: true, data: result });
|
|
||||||
} catch (error) {
|
|
||||||
const status = Number(error?.status) || 500;
|
|
||||||
console.error('[WarehouseLogisticsException] 推送失败:', {
|
|
||||||
message: error?.message,
|
|
||||||
code: error?.code,
|
|
||||||
dingtalk: error?.dingtalk,
|
|
||||||
});
|
|
||||||
res.status(status).json({
|
|
||||||
success: false,
|
|
||||||
error: error.message || '推送到钉钉群失败',
|
|
||||||
data: { code: error?.code ?? null },
|
|
||||||
});
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
module.exports = router;
|
|
||||||
@ -1,62 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓储中心 24 小时发货时效 —— HTTP 路由（2026-10-20 新增）
|
|
||||||
* ────────────────────────────────────────────────────────────────────────────
|
|
||||||
* GET /api/warehouse-ship-timeliness/list
|
|
||||||
* query:
|
|
||||||
* round 'NOON' | 'AFTERNOON' 手动指定核验轮次；不传按当前时刻自动判定
|
|
||||||
* limit 明细条数上限（默认 500，最大 2000）
|
|
||||||
*
|
|
||||||
* GET /api/warehouse-ship-timeliness/rounds
|
|
||||||
* 只返回今日两轮的描述（页面顶部提示用，不打订单表，秒回）
|
|
||||||
*
|
|
||||||
* 挂载见 src/index.js：`/api/warehouse-ship-timeliness` + authMiddleware
|
|
||||||
*/
|
|
||||||
|
|
||||||
const express = require('express');
|
|
||||||
const { getShipTimeliness } = require('../services/warehouseShipTimelinessService');
|
|
||||||
const { describeRounds, CENTERS } = require('../services/warehouseShipTimelinessRegistry');
|
|
||||||
|
|
||||||
const router = express.Router();
|
|
||||||
|
|
||||||
function sendError(res, error, fallback) {
|
|
||||||
const status = Number(error?.statusCode) || 500;
|
|
||||||
console.error('[WarehouseShipTimeliness]', {
|
|
||||||
message: error?.message || fallback,
|
|
||||||
code: error?.code || null,
|
|
||||||
status,
|
|
||||||
});
|
|
||||||
res.status(status).json({ success: false, error: error.message || fallback });
|
|
||||||
}
|
|
||||||
|
|
||||||
// 时效总览：每个主仓「超时未发」数量 + 超时订单明细
|
|
||||||
router.get('/list', async (req, res) => {
|
|
||||||
try {
|
|
||||||
const data = await getShipTimeliness(req.query || {});
|
|
||||||
res.json({ success: true, data });
|
|
||||||
} catch (error) {
|
|
||||||
sendError(res, error, '加载仓储中心发货时效失败');
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
// 仅轮次信息（不查订单）
|
|
||||||
router.get('/rounds', async (_req, res) => {
|
|
||||||
try {
|
|
||||||
res.json({
|
|
||||||
success: true,
|
|
||||||
data: {
|
|
||||||
rounds: describeRounds(new Date()),
|
|
||||||
centers: CENTERS.map((c) => ({
|
|
||||||
key: c.key,
|
|
||||||
name: c.name,
|
|
||||||
placeholder: Boolean(c.placeholder),
|
|
||||||
})),
|
|
||||||
},
|
|
||||||
});
|
|
||||||
} catch (error) {
|
|
||||||
sendError(res, error, '加载核验轮次失败');
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
module.exports = router;
|
|
||||||
@ -764,20 +764,7 @@ async function connectWithCandidate(candidate) {
|
|||||||
}
|
}
|
||||||
|
|
||||||
async function queryWithCandidateConnection(candidate, sqlText, params = {}, options = {}) {
|
async function queryWithCandidateConnection(candidate, sqlText, params = {}, options = {}) {
|
||||||
// request.timeout（请求级）在 mssql 12.x 上实测不生效（始终按池配置的默认值掐断），
|
const nextPool = new sql.ConnectionPool(candidate.mssqlConfig);
|
||||||
// 慢查询必须通过「池配置级 requestTimeout」放宽，这里允许调用方覆盖候选连接的池级超时。
|
|
||||||
let mssqlConfig = candidate.mssqlConfig;
|
|
||||||
const poolRequestTimeout = parsePositiveInt(options.connectRequestTimeoutMs, 0);
|
|
||||||
if (poolRequestTimeout > 0) {
|
|
||||||
mssqlConfig = {
|
|
||||||
...candidate.mssqlConfig,
|
|
||||||
options: {
|
|
||||||
...candidate.mssqlConfig.options,
|
|
||||||
requestTimeout: poolRequestTimeout,
|
|
||||||
},
|
|
||||||
};
|
|
||||||
}
|
|
||||||
const nextPool = new sql.ConnectionPool(mssqlConfig);
|
|
||||||
|
|
||||||
try {
|
try {
|
||||||
await nextPool.connect();
|
await nextPool.connect();
|
||||||
@ -1106,28 +1093,6 @@ const queryWithFreshConnection = async (sqlText, params = {}, options = {}) => {
|
|||||||
return [];
|
return [];
|
||||||
};
|
};
|
||||||
|
|
||||||
/**
|
|
||||||
* 慢查询专用入口：走独立临时连接，池级 requestTimeout 放宽到 SLOW_QUERY_POOL_TIMEOUT_MS。
|
|
||||||
* 背景：mssql 12.x 的 request.timeout（请求级）不生效，超过池默认 60s 的查询必须用
|
|
||||||
* 池配置级 requestTimeout 才能放宽。适用场景：动销分析这类多表大窗口聚合。
|
|
||||||
*/
|
|
||||||
const SLOW_QUERY_POOL_TIMEOUT_MS = parsePositiveInt(
|
|
||||||
process.env.CLOUD_DB_SLOW_QUERY_TIMEOUT_MS,
|
|
||||||
300000
|
|
||||||
);
|
|
||||||
|
|
||||||
const querySlow = async (sqlText, params = {}, options = {}) => {
|
|
||||||
const poolRequestTimeout = parsePositiveInt(
|
|
||||||
options.connectRequestTimeoutMs,
|
|
||||||
SLOW_QUERY_POOL_TIMEOUT_MS
|
|
||||||
);
|
|
||||||
return queryWithFreshConnection(sqlText, params, {
|
|
||||||
...options,
|
|
||||||
connectRequestTimeoutMs: poolRequestTimeout,
|
|
||||||
requestTimeout: poolRequestTimeout,
|
|
||||||
});
|
|
||||||
};
|
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* 测试连接
|
* 测试连接
|
||||||
*/
|
*/
|
||||||
@ -1178,7 +1143,6 @@ const reload = async () => {
|
|||||||
module.exports = {
|
module.exports = {
|
||||||
getPool,
|
getPool,
|
||||||
query,
|
query,
|
||||||
querySlow,
|
|
||||||
queryWithFreshConnection,
|
queryWithFreshConnection,
|
||||||
createPinnedQueryClient,
|
createPinnedQueryClient,
|
||||||
test,
|
test,
|
||||||
|
|||||||
@ -1,78 +0,0 @@
|
|||||||
/**
|
|
||||||
* 拣选库位动销分析 —— 口径配置（纯规则，不含业务数值）
|
|
||||||
*
|
|
||||||
* 一级菜单：大货库存监控
|
|
||||||
* 二级菜单：拣选库位动销分析
|
|
||||||
*
|
|
||||||
* 表头（需求表原列为 所在仓库 | 仓位 | 数量 | 类型 | 动销等级，这里做了扩充与优化）：
|
|
||||||
* 仓库 | 仓位 | 类型 | 商品编码 | 库存数量 | 近N天销量 | 日销 | 动销等级
|
|
||||||
*
|
|
||||||
* 粒度：仓位 × 商品编码（一个仓位有 N 个商品就输出 N 行），列表与导出共用。
|
|
||||||
*
|
|
||||||
* 口径：
|
|
||||||
* 库存数量：rpt.jst_packInventoryInfo 按 wms_co_id + 仓位 + sku_id 汇总 qty
|
|
||||||
* 统计范围：只统计真实拣选仓位（pack_type=Bin 且 bin_group 为空）；
|
|
||||||
* 箱记录（pack_type=Pack）与存货位（bin_group=存货）不纳入
|
|
||||||
* 销量： 4 个来源分支，均按 send_date 窗口（详见 services/pickingBinSalesAnalysis.js）：
|
|
||||||
* ① jst_Orders 普通行；② jst_Orders 组合装行 → jst_comboProductItem 展开为子件；
|
|
||||||
* ③ jst_qmcust_orderlist（全民客户 B2B 分销）普通行（排除拆单父单 Split）；
|
|
||||||
* ④ qmcust 组合装行 → 同样展开。
|
|
||||||
* 日销： 商品窗口销量 / 窗口天数（整档，不按仓位分摊）
|
|
||||||
* 等级： 严格按商品日销判定，同一商品占多少个仓位都是同一等级
|
|
||||||
*
|
|
||||||
* 【为什么不分摊来定等级】同一 SKU 常常同时占用多个同类型仓位（崔桥工厂仓实测 3290 个
|
|
||||||
* 拣选 SKU 中 1431 个跨多个拣选位，最多 24 个）。若把销量摊到仓位再定等级，
|
|
||||||
* 一件爆款商品放在 10 个仓位就会被算成日销 1/10 的滞销品 —— 判断的是「摆法」而不是「商品」。
|
|
||||||
* 因此等级一律以商品自身的销售速度为准。
|
|
||||||
*
|
|
||||||
* 【分摊销量列】导出仍附带「分摊销量」= 商品销量 ÷ 其占用的同类型仓位数，
|
|
||||||
* 供需要按行求和的场景使用：恒等式（已实测校验，差异 0）
|
|
||||||
* 全部行分摊销量之和 = 有库位记录的那些 SKU 的销量之和。
|
|
||||||
* 注意它小于「全仓销量」：jst_packInventoryInfo 只覆盖部分 SKU 的仓位数据，
|
|
||||||
* 没有仓位记录的 SKU 的销量不会体现在任何库位上。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const PICKING_BIN_LEVEL1 = '大货库存监控';
|
|
||||||
const PICKING_BIN_LEVEL2 = '拣选库位动销分析';
|
|
||||||
|
|
||||||
/** 可选的统计窗口天数；默认 30 天（需求指定按近 30 天销量划分动销等级） */
|
|
||||||
const PICKING_BIN_WINDOW_OPTIONS = [7, 15, 30, 60];
|
|
||||||
const PICKING_BIN_DEFAULT_DAYS = 30;
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓位类型：本功能只统计真实拣选仓位（pack_type=Bin 且 bin_group 为空）。
|
|
||||||
* 箱记录（pack_type=Pack）和存货位（bin_group=存货）不纳入动销等级统计，
|
|
||||||
* 取数在仓位库存表上直接过滤，
|
|
||||||
* 页面也不再提供类型切换。
|
|
||||||
*/
|
|
||||||
const BIN_TYPE_PICKING = '拣选';
|
|
||||||
/** 固定统计范围：仅拣选位（保持数组形式，便于接口字段与后续扩展） */
|
|
||||||
const PICKING_BIN_BIN_TYPES = [BIN_TYPE_PICKING];
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 动销等级（顺序即展示顺序）。判定依据为「商品日销」= 商品窗口整档销量 ÷ 天数，
|
|
||||||
* 不做仓位分摊，同一商品在所有仓位显示同一等级。
|
|
||||||
* lower 为日销下界（含），upper 为日销上界（不含）；null 表示不限制。
|
|
||||||
* zero 档为「窗口内无销量」，由 salesQty <= 0 兜底。
|
|
||||||
*/
|
|
||||||
const PICKING_BIN_GRADE_RULES = [
|
|
||||||
{ key: 'hot', label: '爆款：日销≥20', lower: 20, upper: null, tip: '商品日均销量 ≥ 20 件' },
|
|
||||||
{ key: 'best', label: '热卖款：10≤日销＜20', lower: 10, upper: 20, tip: '商品日均销量 10 ~ 20 件（含 10，不含 20）' },
|
|
||||||
{ key: 'normal', label: '平销款：3≤日销＜10', lower: 3, upper: 10, tip: '商品日均销量 3 ~ 10 件（含 3，不含 10）' },
|
|
||||||
{ key: 'slow1', label: '滞销款-1：1≤日销＜3', lower: 1, upper: 3, tip: '商品日均销量 1 ~ 3 件（含 1，不含 3）' },
|
|
||||||
{ key: 'slow2', label: '滞销款-2：0＜日销＜1', lower: 0, upper: 1, tip: '商品日均销量大于 0 且小于 1 件' },
|
|
||||||
{ key: 'zero', label: '销售=0', lower: 0, upper: 0, tip: '统计窗口内该商品无销量（仍占用库存）' },
|
|
||||||
];
|
|
||||||
|
|
||||||
const PICKING_BIN_TOTAL_LABEL = '汇总';
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
PICKING_BIN_LEVEL1,
|
|
||||||
PICKING_BIN_LEVEL2,
|
|
||||||
PICKING_BIN_WINDOW_OPTIONS,
|
|
||||||
PICKING_BIN_DEFAULT_DAYS,
|
|
||||||
BIN_TYPE_PICKING,
|
|
||||||
PICKING_BIN_BIN_TYPES,
|
|
||||||
PICKING_BIN_GRADE_RULES,
|
|
||||||
PICKING_BIN_TOTAL_LABEL,
|
|
||||||
};
|
|
||||||
@ -45,11 +45,6 @@ const SIDEBAR_PAGES = [
|
|||||||
pageName: '大货库存监控 · 库存动销分析',
|
pageName: '大货库存监控 · 库存动销分析',
|
||||||
path: '/planning/operation/stock-sales-analysis',
|
path: '/planning/operation/stock-sales-analysis',
|
||||||
}),
|
}),
|
||||||
buildPlanningPage({
|
|
||||||
pageKey: 'picking_bin_sales_analysis',
|
|
||||||
pageName: '大货库存监控 · 拣选库位动销分析',
|
|
||||||
path: '/planning/operation/picking-bin-sales-analysis',
|
|
||||||
}),
|
|
||||||
{
|
{
|
||||||
pageKey: 'settings',
|
pageKey: 'settings',
|
||||||
pageName: '系统设置',
|
pageName: '系统设置',
|
||||||
|
|||||||
@ -35,13 +35,9 @@ const promotionModuleRoutes = require('./api/promotionModule');
|
|||||||
const productMonitoringRoutes = require('./api/productMonitoring');
|
const productMonitoringRoutes = require('./api/productMonitoring');
|
||||||
const modularStockMonitorRoutes = require('./api/modularStockMonitor');
|
const modularStockMonitorRoutes = require('./api/modularStockMonitor');
|
||||||
const mkhBomRoutes = require('./api/mkhBom');
|
const mkhBomRoutes = require('./api/mkhBom');
|
||||||
const warehouseShipTimelinessRoutes = require('./api/warehouseShipTimeliness');
|
|
||||||
const warehouseLogisticsExceptionRoutes = require('./api/warehouseLogisticsException');
|
|
||||||
const dailyInventoryRoutes = require('./api/dailyInventory');
|
const dailyInventoryRoutes = require('./api/dailyInventory');
|
||||||
const dailyInventoryNotificationRoutes = require('./api/dailyInventoryNotification');
|
const dailyInventoryNotificationRoutes = require('./api/dailyInventoryNotification');
|
||||||
const stockSalesAnalysisRoutes = require('./api/stockSalesAnalysis');
|
const stockSalesAnalysisRoutes = require('./api/stockSalesAnalysis');
|
||||||
const pickingBinSalesAnalysisRoutes = require('./api/pickingBinSalesAnalysis');
|
|
||||||
const binReplenishRoutes = require('./api/binReplenish');
|
|
||||||
const returnInventoryWarningRoutes = require('./api/returnInventoryWarning');
|
const returnInventoryWarningRoutes = require('./api/returnInventoryWarning');
|
||||||
const returnMonitorRoutes = require('./api/returnMonitor');
|
const returnMonitorRoutes = require('./api/returnMonitor');
|
||||||
const returnStockWarningRoutes = require('./api/returnStockWarning');
|
const returnStockWarningRoutes = require('./api/returnStockWarning');
|
||||||
@ -69,9 +65,6 @@ const {
|
|||||||
const {
|
const {
|
||||||
startMkhReplenishAlertScheduler,
|
startMkhReplenishAlertScheduler,
|
||||||
} = require('./jobs/mkhReplenishAlertJob');
|
} = require('./jobs/mkhReplenishAlertJob');
|
||||||
const {
|
|
||||||
startWarehouseLogisticsExceptionNotifyScheduler,
|
|
||||||
} = require('./jobs/warehouseLogisticsExceptionNotifyJob');
|
|
||||||
const { DEFAULT_SITE_CONFIG, getInstallStatus } = require('./services/installService');
|
const { DEFAULT_SITE_CONFIG, getInstallStatus } = require('./services/installService');
|
||||||
const { ensureLocalSchema } = require('./services/localSchema');
|
const { ensureLocalSchema } = require('./services/localSchema');
|
||||||
const {
|
const {
|
||||||
@ -678,21 +671,14 @@ async function startServer(options = {}) {
|
|||||||
cubejsApp.use('/api/product-monitoring', authMiddleware, productMonitoringRoutes);
|
cubejsApp.use('/api/product-monitoring', authMiddleware, productMonitoringRoutes);
|
||||||
cubejsApp.use('/api/modular-stock-monitor', authMiddleware, modularStockMonitorRoutes);
|
cubejsApp.use('/api/modular-stock-monitor', authMiddleware, modularStockMonitorRoutes);
|
||||||
cubejsApp.use('/api/mkh-bom', authMiddleware, mkhBomRoutes);
|
cubejsApp.use('/api/mkh-bom', authMiddleware, mkhBomRoutes);
|
||||||
// 仓储中心 24 小时发货时效（2026-10-20 新增）：列表左侧侧栏，11 个主仓超时未发
|
|
||||||
cubejsApp.use('/api/warehouse-ship-timeliness', authMiddleware, warehouseShipTimelinessRoutes);
|
|
||||||
// 仓储中心物流转运异常（2026-10-21 新增）：每日 09:00 核验前一日已发货单的物流记录
|
|
||||||
cubejsApp.use('/api/warehouse-logistics-exception', authMiddleware, warehouseLogisticsExceptionRoutes);
|
|
||||||
cubejsApp.use('/api/daily-inventory', authMiddleware, dailyInventoryRoutes);
|
cubejsApp.use('/api/daily-inventory', authMiddleware, dailyInventoryRoutes);
|
||||||
cubejsApp.use('/api/daily-inventory-notification', authMiddleware, dailyInventoryNotificationRoutes);
|
cubejsApp.use('/api/daily-inventory-notification', authMiddleware, dailyInventoryNotificationRoutes);
|
||||||
cubejsApp.use('/api/stock-sales-analysis', authMiddleware, stockSalesAnalysisRoutes);
|
cubejsApp.use('/api/stock-sales-analysis', authMiddleware, stockSalesAnalysisRoutes);
|
||||||
cubejsApp.use('/api/picking-bin-sales-analysis', authMiddleware, pickingBinSalesAnalysisRoutes);
|
|
||||||
cubejsApp.use('/api/return-inventory-warning', authMiddleware, returnInventoryWarningRoutes);
|
cubejsApp.use('/api/return-inventory-warning', authMiddleware, returnInventoryWarningRoutes);
|
||||||
// 崔桥工厂仓客退：退货入库核销 + 每日库存监控
|
// 崔桥工厂仓客退：退货入库核销 + 每日库存监控
|
||||||
cubejsApp.use('/api/return-monitor', authMiddleware, returnMonitorRoutes);
|
cubejsApp.use('/api/return-monitor', authMiddleware, returnMonitorRoutes);
|
||||||
// 崔桥工厂仓客退：退货库存预警（箱及仓位库存 · 崔桥工厂客退临时上架仓）
|
// 崔桥工厂仓客退：退货库存预警（箱及仓位库存 · 崔桥工厂客退临时上架仓）
|
||||||
cubejsApp.use('/api/return-stock-warning', authMiddleware, returnStockWarningRoutes);
|
cubejsApp.use('/api/return-stock-warning', authMiddleware, returnStockWarningRoutes);
|
||||||
// 缺货补货监控（拣货位缺货 → 从存货位补货）
|
|
||||||
cubejsApp.use('/api/bin-replenish', authMiddleware, binReplenishRoutes);
|
|
||||||
|
|
||||||
// =====================
|
// =====================
|
||||||
// 数据分析 API（公开访问，可根据需要添加认证）
|
// 数据分析 API（公开访问，可根据需要添加认证）
|
||||||
@ -797,7 +783,6 @@ async function startServer(options = {}) {
|
|||||||
startGoodsFirstSeenScheduler();
|
startGoodsFirstSeenScheduler();
|
||||||
startAlibaba1688ImageSearchExpiryScheduler();
|
startAlibaba1688ImageSearchExpiryScheduler();
|
||||||
startMkhReplenishAlertScheduler();
|
startMkhReplenishAlertScheduler();
|
||||||
startWarehouseLogisticsExceptionNotifyScheduler();
|
|
||||||
startDailyInventorySnapshotScheduler();
|
startDailyInventorySnapshotScheduler();
|
||||||
|
|
||||||
// Keep the first selection-pool page request from paying the remote schema
|
// Keep the first selection-pool page request from paying the remote schema
|
||||||
|
|||||||
@ -1,433 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓储中心物流转运异常 · 每天定点把异常明细以**文本消息**推到钉钉群
|
|
||||||
* ────────────────────────────────────────────────────────────────────────────
|
|
||||||
* 业务口径（2026-10-22 定稿）：
|
|
||||||
* ① 每天 09:10（核验 09:00 之后）把**当天核验批次**的异常情况发到指定钉钉群；
|
|
||||||
* **0 条也推**（群里看到「本批 0 异常」= 任务没挂）。
|
|
||||||
* ② 不发 .xlsx 附件 —— 群机器人 webhook 发不了文件，业务也确认群里看文本就够。
|
|
||||||
* 内容 = 汇总（发货/异常/异常率/分类型/分仓）+ 前 N 条明细 + 页面链接。
|
|
||||||
* N 由页面配置（默认 30，上限 50）；要全部明细就点链接去页面导出 Excel。
|
|
||||||
* ③ 消息里**必须带「异常」字样**：钉钉群机器人若用「自定义关键词」安全设置，
|
|
||||||
* 关键词一般是「异常」，缺了会被拒（errcode 310000）。
|
|
||||||
* ④ 一天只推一次：状态存 system_config，按「推送日（北京时间）」去重，
|
|
||||||
* 服务重启不会重复轰炸；手动「立即推送」才强制重发。
|
|
||||||
*
|
|
||||||
* 时区：生产容器是 UTC，核验批次和「到点没有」全部用 Asia/Shanghai 判断。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const cron = require('node-cron');
|
|
||||||
const { getLogisticsExceptionExportRows } = require('../services/warehouseLogisticsExceptionService');
|
|
||||||
const { sendTextToWebhook, MAX_CONTENT_BYTES } = require('../services/dingtalkRobotWebhookSender');
|
|
||||||
const {
|
|
||||||
DEFAULT_MAX_DETAIL_ROWS,
|
|
||||||
DEFAULT_PAGE_URL,
|
|
||||||
getWarehouseLogisticsExceptionNotifyRuntimeConfig,
|
|
||||||
isWarehouseLogisticsExceptionNotifyReady,
|
|
||||||
loadWarehouseLogisticsExceptionNotifyState,
|
|
||||||
saveWarehouseLogisticsExceptionNotifyState,
|
|
||||||
} = require('../services/warehouseLogisticsExceptionNotifySettings');
|
|
||||||
|
|
||||||
const TIMEZONE = 'Asia/Shanghai';
|
|
||||||
// 每分钟醒一次，比对「现在是不是配置的推送时刻」—— 这样业务在页面上改时间不用重启后端
|
|
||||||
const DEFAULT_TICK_CRON = '* * * * *';
|
|
||||||
// 钉钉 text 上限 20000 字节；留 300 字节给「已精简」尾巴，避免临界失败
|
|
||||||
const SAFE_CONTENT_BYTES = MAX_CONTENT_BYTES - 300;
|
|
||||||
|
|
||||||
let tickRunning = false;
|
|
||||||
|
|
||||||
function pad2(value) {
|
|
||||||
return String(value).padStart(2, '0');
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 北京时间的 YYYY-MM-DD */
|
|
||||||
function chinaDateKey(date = new Date()) {
|
|
||||||
const base = date instanceof Date ? date : new Date(date);
|
|
||||||
if (!Number.isFinite(base.getTime())) return '';
|
|
||||||
return new Intl.DateTimeFormat('en-CA', {
|
|
||||||
timeZone: TIMEZONE,
|
|
||||||
year: 'numeric',
|
|
||||||
month: '2-digit',
|
|
||||||
day: '2-digit',
|
|
||||||
}).format(base);
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 北京时间的 HH:mm —— 用来跟配置里的 sendTime 比对 */
|
|
||||||
function chinaHourMinute(date = new Date()) {
|
|
||||||
const base = date instanceof Date ? date : new Date(date);
|
|
||||||
if (!Number.isFinite(base.getTime())) return '';
|
|
||||||
return new Intl.DateTimeFormat('en-GB', {
|
|
||||||
timeZone: TIMEZONE,
|
|
||||||
hour: '2-digit',
|
|
||||||
minute: '2-digit',
|
|
||||||
hour12: false,
|
|
||||||
}).format(base);
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 字段清洗：换行/连续空白压成单空格。
|
|
||||||
* ⚠️ 物流描述里常有 `\n`，直接拼进 text 消息会把一条明细劈成两行，看着像两条异常。
|
|
||||||
*/
|
|
||||||
function cleanCell(value, fallback = '') {
|
|
||||||
const text = String(value ?? '').replace(/[\r\n\t]+/g, ' ').replace(/\s{2,}/g, ' ').trim();
|
|
||||||
return text || fallback;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** '2026-10-21 16:00:00' → '10-21 16:00'；空值给「—」 */
|
|
||||||
function shortTime(value) {
|
|
||||||
const text = cleanCell(value);
|
|
||||||
if (!text) return '—';
|
|
||||||
const match = text.match(/^(\d{4})-(\d{2})-(\d{2})[ T](\d{2}):(\d{2})/);
|
|
||||||
if (!match) return text.slice(0, 16);
|
|
||||||
return `${match[2]}-${match[3]} ${match[4]}:${match[5]}`;
|
|
||||||
}
|
|
||||||
|
|
||||||
function formatHours(value) {
|
|
||||||
const num = Number(value);
|
|
||||||
if (!Number.isFinite(num)) return '—';
|
|
||||||
return `${Math.round(num * 10) / 10}h`;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 明细一行：仓｜内部单号｜快递｜异常类型｜发货时间｜待处理 */
|
|
||||||
function buildDetailLine(row, index) {
|
|
||||||
const parts = [
|
|
||||||
cleanCell(row?.warehouseName, '未知仓'),
|
|
||||||
cleanCell(row?.oId, '无单号'),
|
|
||||||
cleanCell(row?.carrier, '未知快递'),
|
|
||||||
cleanCell(row?.exceptionLabel, '异常'),
|
|
||||||
shortTime(row?.sendTime),
|
|
||||||
formatHours(row?.pendingHours),
|
|
||||||
];
|
|
||||||
return `${index}. ${parts.join('｜')}`;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 汇总里的「按仓」块：只列有异常的仓，按异常包裹数降序，最多 12 行（12 个发货仓够用）*/
|
|
||||||
function buildCenterLines(data = {}) {
|
|
||||||
const rows = Array.isArray(data.rows) ? data.rows : [];
|
|
||||||
const packagesByCenter = rows.reduce((acc, row) => {
|
|
||||||
const key = String(row?.centerKey || '');
|
|
||||||
if (!key) return acc;
|
|
||||||
acc[key] = (acc[key] || 0) + 1;
|
|
||||||
return acc;
|
|
||||||
}, {});
|
|
||||||
|
|
||||||
return (data.centers || [])
|
|
||||||
.map((center) => ({
|
|
||||||
name: cleanCell(center.name || center.key, '未知仓'),
|
|
||||||
exceptionPackages: packagesByCenter[center.key] || 0,
|
|
||||||
shippedOrders: Number(center.shippedOrders) || 0,
|
|
||||||
}))
|
|
||||||
.filter((item) => item.exceptionPackages > 0)
|
|
||||||
.sort((a, b) => b.exceptionPackages - a.exceptionPackages)
|
|
||||||
.slice(0, 12)
|
|
||||||
.map((item, index) => `${index + 1}. ${item.name} ${item.exceptionPackages} 个（发货 ${item.shippedOrders} 单）`);
|
|
||||||
}
|
|
||||||
|
|
||||||
function buildTypeLine(data = {}) {
|
|
||||||
const summary = data.summary || {};
|
|
||||||
const entries = Object.entries(summary.byType || {});
|
|
||||||
if (!entries.length) return '';
|
|
||||||
return entries
|
|
||||||
.map(([type, count]) => {
|
|
||||||
const meta = (data.types || []).find((item) => item.key === type);
|
|
||||||
return { label: meta?.label || type, count: Number(count) || 0 };
|
|
||||||
})
|
|
||||||
.sort((a, b) => b.count - a.count)
|
|
||||||
.map((item) => `${item.label} ${item.count}`)
|
|
||||||
.join(' · ');
|
|
||||||
}
|
|
||||||
|
|
||||||
function buildPageLink(pageUrl, verifyDate) {
|
|
||||||
const base = String(pageUrl || DEFAULT_PAGE_URL);
|
|
||||||
if (!verifyDate) return base;
|
|
||||||
const glue = base.includes('?') ? '&' : '?';
|
|
||||||
return `${base}${glue}date=${encodeURIComponent(verifyDate)}`;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 组装群消息正文（纯函数，便于单测）。
|
|
||||||
* 结构：抬头 → 数字 → 分类型 → 按仓 → 明细前 N 条 → 页面链接
|
|
||||||
* 超长处理：从明细末尾往前砍，砍到能发为止（绝不让钉钉 400 把整条消息吞掉）。
|
|
||||||
*
|
|
||||||
* @returns {{text:string,rowCount:number,listedCount:number,bytes:number,truncated:boolean}}
|
|
||||||
*/
|
|
||||||
function buildNotifyText(data = {}, options = {}) {
|
|
||||||
const batch = data.batch || {};
|
|
||||||
const summary = data.summary || {};
|
|
||||||
const rows = Array.isArray(data.rows) ? data.rows : [];
|
|
||||||
const exclusions = data.exclusions || {};
|
|
||||||
|
|
||||||
const maxDetailRows = Number.isFinite(Number(options.maxDetailRows))
|
|
||||||
? Math.max(0, Math.min(50, Math.round(Number(options.maxDetailRows))))
|
|
||||||
: DEFAULT_MAX_DETAIL_ROWS;
|
|
||||||
const pageUrl = buildPageLink(options.pageUrl || DEFAULT_PAGE_URL, batch.verifyDate);
|
|
||||||
|
|
||||||
const totalPackages = Number(summary.exceptionPackages) || rows.length;
|
|
||||||
const shipped = Number(summary.shippedOrders) || 0;
|
|
||||||
const ratio = Number.isFinite(Number(summary.exceptionRate)) ? `${Number(summary.exceptionRate)}%` : '—';
|
|
||||||
|
|
||||||
const head = [
|
|
||||||
`【仓储物流转运异常】${cleanCell(batch.label, '本批核验')}`,
|
|
||||||
`已发货 ${shipped} 单 / ${Number(summary.packageCount) || 0} 个包裹，异常 ${totalPackages} 个包裹（${ratio}）`,
|
|
||||||
];
|
|
||||||
|
|
||||||
const typeLine = buildTypeLine(data);
|
|
||||||
if (typeLine) head.push(`类型：${typeLine}`);
|
|
||||||
|
|
||||||
if (totalPackages === 0) {
|
|
||||||
head.push('本批无转运异常，全部正常。');
|
|
||||||
}
|
|
||||||
|
|
||||||
const excludedCount = (Number(exclusions.carrierPackages) || 0)
|
|
||||||
+ (Number(exclusions.voidedPackages) || 0)
|
|
||||||
+ (Number(exclusions.nonRealPackages) || 0);
|
|
||||||
if (excludedCount > 0) {
|
|
||||||
head.push(`已剔除 ${excludedCount} 个包裹（承运商 / 已终止 / 刷单·信誉单，不计考核）`);
|
|
||||||
}
|
|
||||||
|
|
||||||
const centerLines = totalPackages > 0 ? buildCenterLines(data) : [];
|
|
||||||
const detailAll = rows.map((row, index) => buildDetailLine(row, index + 1));
|
|
||||||
const wantCount = Math.min(maxDetailRows, detailAll.length);
|
|
||||||
|
|
||||||
// 尾部固定：剩余条数说明 + 页面链接（明细看全量、要 Excel 就在页面上导出）
|
|
||||||
const buildTail = (listed) => {
|
|
||||||
const lines = [];
|
|
||||||
if (totalPackages > 0) {
|
|
||||||
if (listed === 0) {
|
|
||||||
lines.push('');
|
|
||||||
lines.push(`明细共 ${totalPackages} 条，消息里不放，请点下面链接查看。`);
|
|
||||||
} else if (totalPackages > listed) {
|
|
||||||
lines.push(`…其余 ${totalPackages - listed} 条见页面。`);
|
|
||||||
}
|
|
||||||
lines.push(`查看全部 / 导出 Excel：${pageUrl}`);
|
|
||||||
}
|
|
||||||
return lines;
|
|
||||||
};
|
|
||||||
|
|
||||||
const assemble = (listed, withCenters, extraNote = '') => {
|
|
||||||
const blocks = [...head];
|
|
||||||
if (withCenters && centerLines.length) {
|
|
||||||
blocks.push('');
|
|
||||||
blocks.push('按仓（异常包裹）：');
|
|
||||||
blocks.push(...centerLines);
|
|
||||||
}
|
|
||||||
if (listed > 0) {
|
|
||||||
blocks.push('');
|
|
||||||
blocks.push(`明细前 ${listed} 条：`);
|
|
||||||
blocks.push(...detailAll.slice(0, listed));
|
|
||||||
}
|
|
||||||
const tail = buildTail(listed);
|
|
||||||
if (tail.length) blocks.push(...tail);
|
|
||||||
if (extraNote) blocks.push(extraNote);
|
|
||||||
const text = blocks.join('\n');
|
|
||||||
return { text, bytes: Buffer.byteLength(text, 'utf8') };
|
|
||||||
};
|
|
||||||
|
|
||||||
// 先按期望条数拼；超长就从明细末尾往前砍（先砍明细，再砍分仓块）
|
|
||||||
// ⚠️ truncated 只表示「因字节上限被动砍过」，不表示「按配置只列了前 N 条」——
|
|
||||||
// 后者是正常行为（listedCount < rowCount），混在一起会让页面误报「超长精简」。
|
|
||||||
let listed = wantCount;
|
|
||||||
let withCenters = centerLines.length > 0;
|
|
||||||
let result = assemble(listed, withCenters);
|
|
||||||
let truncated = false;
|
|
||||||
|
|
||||||
while (result.bytes > SAFE_CONTENT_BYTES && listed > 0) {
|
|
||||||
listed -= 1;
|
|
||||||
truncated = true;
|
|
||||||
result = assemble(listed, withCenters);
|
|
||||||
}
|
|
||||||
if (result.bytes > SAFE_CONTENT_BYTES && withCenters) {
|
|
||||||
withCenters = false;
|
|
||||||
result = assemble(listed, withCenters);
|
|
||||||
}
|
|
||||||
if (result.bytes > SAFE_CONTENT_BYTES) {
|
|
||||||
// 极端情况（仓名/链接特别长）：硬截断，至少保证消息能发出去
|
|
||||||
const chars = Array.from(result.text);
|
|
||||||
let bytes = 0;
|
|
||||||
let cut = '';
|
|
||||||
for (const char of chars) {
|
|
||||||
const size = Buffer.byteLength(char, 'utf8');
|
|
||||||
if (bytes + size > SAFE_CONTENT_BYTES) break;
|
|
||||||
bytes += size;
|
|
||||||
cut += char;
|
|
||||||
}
|
|
||||||
result = { text: cut, bytes };
|
|
||||||
truncated = true;
|
|
||||||
}
|
|
||||||
|
|
||||||
return {
|
|
||||||
text: result.text,
|
|
||||||
rowCount: totalPackages,
|
|
||||||
listedCount: listed,
|
|
||||||
bytes: result.bytes,
|
|
||||||
truncated,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 执行一次推送。参数：
|
|
||||||
* now 指定时间（测试用）
|
|
||||||
* date 指定核验日 'YYYY-MM-DD'
|
|
||||||
* force 忽略「今天已经推过」的限制（页面「立即推送」用）
|
|
||||||
* dryRun 只组装消息不发送（预览 / 单测用）
|
|
||||||
* probe 只发一条通道测试文本（不查库、不依赖业务数据）
|
|
||||||
*/
|
|
||||||
async function pushWarehouseLogisticsExceptionNotify(options = {}) {
|
|
||||||
const now = options.now === undefined ? new Date() : new Date(options.now);
|
|
||||||
const pushDate = chinaDateKey(now);
|
|
||||||
const config = await getWarehouseLogisticsExceptionNotifyRuntimeConfig({ forceRefresh: true });
|
|
||||||
|
|
||||||
// 通道测试：只验 webhook，不读业务数据（数据慢不该背「通道坏」的锅）
|
|
||||||
if (options.probe === true) {
|
|
||||||
if (!isWarehouseLogisticsExceptionNotifyReady(config)) {
|
|
||||||
return { sent: false, reason: 'not_configured', missingFields: config.missingFields };
|
|
||||||
}
|
|
||||||
const delivery = await sendTextToWebhook({
|
|
||||||
webhookUrl: config.webhookUrl,
|
|
||||||
secret: config.webhookSecret,
|
|
||||||
content: '【仓储物流转运异常】通知通道测试：收到这条说明 webhook 配置可用。',
|
|
||||||
});
|
|
||||||
return { sent: true, probe: true, delivery };
|
|
||||||
}
|
|
||||||
|
|
||||||
const state = await loadWarehouseLogisticsExceptionNotifyState();
|
|
||||||
if (state?.lastSentDate === pushDate && options.force !== true) {
|
|
||||||
return { sent: false, reason: 'already_sent_today', pushDate, lastSentAt: state.lastSentAt || null };
|
|
||||||
}
|
|
||||||
if (!config.enabled && options.force !== true) {
|
|
||||||
return { sent: false, reason: 'disabled' };
|
|
||||||
}
|
|
||||||
|
|
||||||
const dryRun = options.dryRun === true;
|
|
||||||
if (!dryRun && !isWarehouseLogisticsExceptionNotifyReady(config)) {
|
|
||||||
return { sent: false, reason: 'not_configured', missingFields: config.missingFields };
|
|
||||||
}
|
|
||||||
|
|
||||||
const data = await getLogisticsExceptionExportRows({ date: options.date });
|
|
||||||
if (data?.notStarted) {
|
|
||||||
// 还没到核验时刻（例如把推送时间设在 09:00 之前）→ 不推空数据，等下一轮或人工
|
|
||||||
return { sent: false, reason: 'not_started', batch: data.batch || null };
|
|
||||||
}
|
|
||||||
|
|
||||||
const built = buildNotifyText(data, {
|
|
||||||
maxDetailRows: config.maxDetailRows,
|
|
||||||
pageUrl: config.pageUrl,
|
|
||||||
});
|
|
||||||
|
|
||||||
if (dryRun) {
|
|
||||||
return {
|
|
||||||
sent: false,
|
|
||||||
reason: 'dry_run',
|
|
||||||
text: built.text,
|
|
||||||
rowCount: built.rowCount,
|
|
||||||
listedCount: built.listedCount,
|
|
||||||
bytes: built.bytes,
|
|
||||||
truncated: built.truncated,
|
|
||||||
batch: data.batch || null,
|
|
||||||
summary: data.summary || null,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
const delivery = await sendTextToWebhook({
|
|
||||||
webhookUrl: config.webhookUrl,
|
|
||||||
secret: config.webhookSecret,
|
|
||||||
content: built.text,
|
|
||||||
atAll: config.atAll === true,
|
|
||||||
});
|
|
||||||
|
|
||||||
await saveWarehouseLogisticsExceptionNotifyState({
|
|
||||||
lastSentDate: pushDate,
|
|
||||||
lastSentAt: new Date().toISOString(),
|
|
||||||
lastStatus: 'sent',
|
|
||||||
lastError: '',
|
|
||||||
rowCount: built.rowCount,
|
|
||||||
listedCount: built.listedCount,
|
|
||||||
bytes: built.bytes,
|
|
||||||
truncated: built.truncated,
|
|
||||||
verifyDate: data.batch?.verifyDate || '',
|
|
||||||
});
|
|
||||||
|
|
||||||
return {
|
|
||||||
sent: true,
|
|
||||||
rowCount: built.rowCount,
|
|
||||||
listedCount: built.listedCount,
|
|
||||||
bytes: built.bytes,
|
|
||||||
truncated: built.truncated,
|
|
||||||
text: built.text,
|
|
||||||
batch: data.batch || null,
|
|
||||||
summary: data.summary || null,
|
|
||||||
delivery,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
async function runWarehouseLogisticsExceptionNotifyJob(source = 'scheduled', options = {}) {
|
|
||||||
try {
|
|
||||||
const result = await pushWarehouseLogisticsExceptionNotify(options);
|
|
||||||
if (result.sent) {
|
|
||||||
console.log(`[WleNotify] ${source} 已推送（${result.rowCount} 条异常，列出 ${result.listedCount} 条，${result.bytes} 字节）`);
|
|
||||||
} else {
|
|
||||||
console.log(`[WleNotify] ${source} 跳过: ${result.reason}`);
|
|
||||||
}
|
|
||||||
return result;
|
|
||||||
} catch (error) {
|
|
||||||
console.error(`[WleNotify] ${source} 执行失败:`, error.message || error);
|
|
||||||
try {
|
|
||||||
await saveWarehouseLogisticsExceptionNotifyState({
|
|
||||||
...(await loadWarehouseLogisticsExceptionNotifyState()),
|
|
||||||
lastError: String(error.message || error).slice(0, 500),
|
|
||||||
lastFailedAt: new Date().toISOString(),
|
|
||||||
});
|
|
||||||
} catch (_ignored) { /* 状态写失败不影响主流程 */ }
|
|
||||||
return { sent: false, reason: 'error', error: error.message || String(error) };
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 调度：每分钟比对「北京时间 HH:mm == 配置的 sendTime」。
|
|
||||||
* 之所以不用固定 cron 表达式：业务在页面上改时间后要立即生效，不能等后端重启。
|
|
||||||
*/
|
|
||||||
function startWarehouseLogisticsExceptionNotifyScheduler() {
|
|
||||||
const disabled = String(process.env.DISABLE_WLE_NOTIFY || '').trim().toLowerCase() === 'true';
|
|
||||||
if (disabled) {
|
|
||||||
console.log('[Scheduler] 物流转运异常钉钉推送已禁用');
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
const expression = String(process.env.WLE_NOTIFY_TICK_CRON || DEFAULT_TICK_CRON).trim();
|
|
||||||
cron.schedule(expression, () => {
|
|
||||||
if (tickRunning) return;
|
|
||||||
tickRunning = true;
|
|
||||||
(async () => {
|
|
||||||
try {
|
|
||||||
const now = new Date();
|
|
||||||
const config = await getWarehouseLogisticsExceptionNotifyRuntimeConfig();
|
|
||||||
if (!config.enabled) return;
|
|
||||||
if (chinaHourMinute(now) !== config.sendTime) return;
|
|
||||||
await runWarehouseLogisticsExceptionNotifyJob('daily_schedule', { now });
|
|
||||||
} catch (error) {
|
|
||||||
console.error('[WleNotify] 定时检查失败:', error.message || error);
|
|
||||||
} finally {
|
|
||||||
tickRunning = false;
|
|
||||||
}
|
|
||||||
})();
|
|
||||||
}, { timezone: TIMEZONE });
|
|
||||||
|
|
||||||
console.log(`[Scheduler] 物流转运异常钉钉推送已注册: 每分钟检查，到点(默认 09:10)推送 (${TIMEZONE})`);
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
DEFAULT_TICK_CRON,
|
|
||||||
SAFE_CONTENT_BYTES,
|
|
||||||
TIMEZONE,
|
|
||||||
buildCenterLines,
|
|
||||||
buildDetailLine,
|
|
||||||
buildNotifyText,
|
|
||||||
buildTypeLine,
|
|
||||||
chinaDateKey,
|
|
||||||
chinaHourMinute,
|
|
||||||
cleanCell,
|
|
||||||
pushWarehouseLogisticsExceptionNotify,
|
|
||||||
runWarehouseLogisticsExceptionNotifyJob,
|
|
||||||
shortTime,
|
|
||||||
startWarehouseLogisticsExceptionNotifyScheduler,
|
|
||||||
};
|
|
||||||
@ -1,53 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 缺货补货监控（拣货位 → 存货位）本地表
|
|
||||||
* --------------------------------------------------------------------------
|
|
||||||
* 为什么需要本地表：
|
|
||||||
* 聚水潭「箱及仓位库存」在副本里是**视图** rpt.jst_packInventoryInfo，
|
|
||||||
* 只有货位号（bin）与数量，**没有货位类型**（拣货位 / 存货位）这层主数据
|
|
||||||
* （全库 5,496 个字段里没有 bin_type / location_type 一类的列，见 2026-10-22 复核）。
|
|
||||||
* 而业务判断「拣货位缺货、要从存货位补」必须先知道哪些 bin 是拣货位，
|
|
||||||
* 所以把业务给的货位清单导入本地库，作为判定基准。
|
|
||||||
*
|
|
||||||
* 两张表：
|
|
||||||
* bin_replenish_pick_bin —— 拣货位清单（按仓库隔离，可重复导入覆盖）
|
|
||||||
* bin_replenish_import_batch —— 导入批次日志（谁、什么时候、导入多少个）
|
|
||||||
*
|
|
||||||
* 未导入清单时，服务层回退到「pack_type = 'Bin' 的记录」作为拣货位口径，
|
|
||||||
* 页面会明确提示当前用的是回退口径。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const database = require('../config/database');
|
|
||||||
|
|
||||||
const SCHEMA_SQL = [
|
|
||||||
`CREATE TABLE IF NOT EXISTS bin_replenish_pick_bin (
|
|
||||||
warehouse_key VARCHAR(32) NOT NULL COMMENT '仓库标识（changzhou/henglin3/subei/suining/henglin2/wh7）',
|
|
||||||
bin_code VARCHAR(64) NOT NULL COMMENT '货位号（大写去空格）',
|
|
||||||
batch_id VARCHAR(64) NOT NULL COMMENT '导入批次',
|
|
||||||
imported_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '导入时间',
|
|
||||||
PRIMARY KEY (warehouse_key, bin_code),
|
|
||||||
KEY idx_brpb_batch (batch_id)
|
|
||||||
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='缺货补货监控-拣货位清单'`,
|
|
||||||
|
|
||||||
`CREATE TABLE IF NOT EXISTS bin_replenish_import_batch (
|
|
||||||
batch_id VARCHAR(64) NOT NULL COMMENT '导入批次',
|
|
||||||
warehouse_key VARCHAR(32) NOT NULL COMMENT '仓库标识',
|
|
||||||
file_name VARCHAR(255) NULL COMMENT '文件名',
|
|
||||||
total_cells INT NOT NULL DEFAULT 0 COMMENT '扫描到的候选单元格数',
|
|
||||||
imported_rows INT NOT NULL DEFAULT 0 COMMENT '写入的货位数',
|
|
||||||
imported_by VARCHAR(100) NULL COMMENT '导入人',
|
|
||||||
imported_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '导入时间',
|
|
||||||
PRIMARY KEY (batch_id),
|
|
||||||
KEY idx_brpib_wh (warehouse_key, imported_at)
|
|
||||||
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='缺货补货监控-拣货位导入批次'`,
|
|
||||||
];
|
|
||||||
|
|
||||||
async function ensureBinReplenishSchema() {
|
|
||||||
for (const sql of SCHEMA_SQL) {
|
|
||||||
// eslint-disable-next-line no-await-in-loop
|
|
||||||
await database.local.query(sql);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = { ensureBinReplenishSchema };
|
|
||||||
@ -1,613 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 缺货补货监控 —— 拣货位缺货 / 从存货位补货
|
|
||||||
* ==========================================================================
|
|
||||||
* 业务需求（2026-10-22 用户确认）：
|
|
||||||
* 监控现有库存 → 看哪些「拣货库位」缺货 → 需要从「存货仓位」补货过去。
|
|
||||||
*
|
|
||||||
* ── 数据源 ───────────────────────────────────────────────────────────
|
|
||||||
* rpt.jst_packInventoryInfo（聚水潭「箱及仓位库存」）
|
|
||||||
* · 列：sku_id / bin（货位号）/ pack_type / bin_group / qty / wms_co_id
|
|
||||||
* · 一行 = 某货位上某商品的库存；同一货位可能多行（不同箱）
|
|
||||||
* · pack_type：Bin = 货位散件库存；Pack = 整箱；DefaultPack = 未分箱（仓库级）
|
|
||||||
* ⚠️ 仓库维度必须用 **wms_co_id**：wh_id 是货主（简尚=1），
|
|
||||||
* 崔桥/山东/横林二/苏北/河南全部挂在 wh_id=1 下，按 wh_id 会混成一个桶。
|
|
||||||
* ⚠️ 该对象在副本里是**视图**（sys.objects.type_desc = VIEW），
|
|
||||||
* 没有暴露底层表；单次按 SKU+货位聚合实测 **10~45 秒**（随缓存/负载波动），
|
|
||||||
* 直接取原始行更慢（25,488 行约 80 秒）。因此必须缓存 + 启动预热，
|
|
||||||
* 不要把它改回「每次请求都回源」。
|
|
||||||
*
|
|
||||||
* ── 拣货位怎么认定（关键）─────────────────────────────────────────────
|
|
||||||
* 副本**没有独立的货位类型主数据**，但「拣选库位动销分析」已确认口径：
|
|
||||||
* 真实拣选位 = `pack_type = 'Bin'` 且 `bin_group` 为空
|
|
||||||
* （`bin_group='存货'`、`pack_type='Pack'/'DefaultPack'` 都算存货位）
|
|
||||||
* 本页默认就用这个口径；如果业务另有一份拣货位清单，
|
|
||||||
* 页面导入后以清单为准（`bin ∈ 清单` → 拣货位），其余一律算存货位。
|
|
||||||
*
|
|
||||||
* ── 指标口径 ─────────────────────────────────────────────────────────
|
|
||||||
* 拣货位库存 pickQty = 该 SKU 在所有拣货位上的 qty 合计
|
|
||||||
* 存货位库存 storageQty = 该 SKU 在其余货位（含整箱/未分箱）上的 qty 合计
|
|
||||||
* 现有库存 totalQty = pickQty + storageQty
|
|
||||||
* 目标拣货位库存 target = max(10, ceil(近15天日销 × targetDays))，targetDays 默认 7
|
|
||||||
* 建议补货量 = min(storageQty, max(0, target − pickQty))，向上取整
|
|
||||||
*
|
|
||||||
* 状态：
|
|
||||||
* pickout 拣货位缺货（pickQty ≤ 0，且存货位有货 → 可以补）
|
|
||||||
* empty 无货可补（pickQty ≤ 0，存货位也没货 → 需要采购）
|
|
||||||
* low 拣货位偏低（0 < pickQty < target，存货位有货）
|
|
||||||
* ok 正常
|
|
||||||
*
|
|
||||||
* 近15天日销取自 rpt.pm_stockMonitor（同仓最新快照的 fifteenAvgSale），
|
|
||||||
* 只用于算目标和排序；取不到时目标按 10 件兜底。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const crypto = require('crypto');
|
|
||||||
const XLSX = require('xlsx');
|
|
||||||
const cloudDb = require('../config/cloudDatabase');
|
|
||||||
const database = require('../config/database');
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓库清单：**按 wms_co_id 取数，不能用 wh_id**
|
|
||||||
* ---------------------------------------------------------------------------
|
|
||||||
* 2026-10-22 实测：jst_packInventoryInfo.wh_id 是「货主」（简尚=1），
|
|
||||||
* 崔桥/山东/横林二/苏北/河南的仓位记录**全部挂在 wh_id=1 底下**，
|
|
||||||
* 按 wh_id 汇总会把 10 个仓混成一个桶。真实仓库是 wms_co_id。
|
|
||||||
* 这里只列「有真实拣选位」的仓（拣选位 = pack_type='Bin' 且 bin_group 为空），
|
|
||||||
* 口径与「拣选库位动销分析」保持一致。
|
|
||||||
*/
|
|
||||||
const WAREHOUSES = Object.freeze({
|
|
||||||
cuiqiao: { key: 'cuiqiao', wmsCoId: 15038426, name: '简尚-崔桥工厂仓', shortName: '崔桥工厂仓', order: 10 },
|
|
||||||
shandong: { key: 'shandong', wmsCoId: 15137523, name: '简尚-山东青岗集仓', shortName: '山东青岗集仓', order: 20 },
|
|
||||||
henglin2: { key: 'henglin2', wmsCoId: 15033302, name: '简尚-横林二仓', shortName: '横林二仓', order: 30 },
|
|
||||||
subei: { key: 'subei', wmsCoId: 15038347, name: '简尚-新苏北仓', shortName: '新苏北仓', order: 40 },
|
|
||||||
henan: { key: 'henan', wmsCoId: 15539084, name: '简尚-河南洛宁仓', shortName: '河南洛宁仓', order: 50 },
|
|
||||||
shandongBrand: { key: 'shandongBrand', wmsCoId: 15182705, name: '简尚-山东品牌仓', shortName: '山东品牌仓', order: 60 },
|
|
||||||
cuiqiaoBcp: { key: 'cuiqiaoBcp', wmsCoId: 15718196, name: '简尚-崔桥工厂半成品包装项目仓', shortName: '崔桥半成品包装仓', order: 70 },
|
|
||||||
suining: { key: 'suining', wmsCoId: 15032603, name: '简尚-睢宁仓', shortName: '睢宁仓', order: 80 },
|
|
||||||
cuiqiaoBrand: { key: 'cuiqiaoBrand', wmsCoId: 15870495, name: '简尚-崔桥工厂品牌仓', shortName: '崔桥品牌仓', order: 90 },
|
|
||||||
henglin3: { key: 'henglin3', wmsCoId: 15043561, name: '简尚-横林三仓', shortName: '横林三仓', order: 100 },
|
|
||||||
});
|
|
||||||
|
|
||||||
const WAREHOUSE_LIST = Object.values(WAREHOUSES).sort((a, b) => a.order - b.order);
|
|
||||||
|
|
||||||
const DEFAULT_WAREHOUSE_KEY = 'cuiqiao';
|
|
||||||
const DEFAULT_TARGET_DAYS = 7;
|
|
||||||
const MIN_TARGET_QTY = 10;
|
|
||||||
const DEFAULT_CACHE_TTL_MS = 10 * 60 * 1000; // 与上游 ETL 的 10 分钟增量节奏对齐
|
|
||||||
const MAX_PAGE_SIZE = 5000;
|
|
||||||
|
|
||||||
const STATUS = Object.freeze({
|
|
||||||
PICK_OUT: 'pickout',
|
|
||||||
EMPTY: 'empty',
|
|
||||||
LOW: 'low',
|
|
||||||
NO_PICK: 'nopick',
|
|
||||||
OK: 'ok',
|
|
||||||
});
|
|
||||||
|
|
||||||
const STATUS_LABELS = Object.freeze({
|
|
||||||
pickout: '拣货位缺货',
|
|
||||||
empty: '无货可补',
|
|
||||||
low: '拣货位偏低',
|
|
||||||
nopick: '未设拣货位',
|
|
||||||
ok: '正常',
|
|
||||||
});
|
|
||||||
|
|
||||||
const STATUS_RANK = Object.freeze({ pickout: 4, empty: 3, low: 2, nopick: 1, ok: 0 });
|
|
||||||
|
|
||||||
const cacheStore = new Map();
|
|
||||||
let cacheEpoch = 0;
|
|
||||||
|
|
||||||
function toText(value, maxLength = 200) {
|
|
||||||
return String(value ?? '').trim().slice(0, maxLength);
|
|
||||||
}
|
|
||||||
|
|
||||||
function toNumber(value, fallback = 0) {
|
|
||||||
const num = Number(value);
|
|
||||||
return Number.isFinite(num) ? num : fallback;
|
|
||||||
}
|
|
||||||
|
|
||||||
function round2(value) {
|
|
||||||
return Math.round((toNumber(value) + Number.EPSILON) * 100) / 100;
|
|
||||||
}
|
|
||||||
|
|
||||||
function normalizeBin(value) {
|
|
||||||
return toText(value, 64).toUpperCase().replace(/\s+/g, '');
|
|
||||||
}
|
|
||||||
|
|
||||||
function resolveWarehouseKey(value) {
|
|
||||||
const key = toText(value, 32).toLowerCase();
|
|
||||||
return WAREHOUSES[key] ? key : DEFAULT_WAREHOUSE_KEY;
|
|
||||||
}
|
|
||||||
|
|
||||||
function resolveWarehouse(value) {
|
|
||||||
return WAREHOUSES[resolveWarehouseKey(value)];
|
|
||||||
}
|
|
||||||
|
|
||||||
function resolveCacheTtlMs() {
|
|
||||||
const raw = process.env.BIN_REPLENISH_CACHE_TTL_MS;
|
|
||||||
if (raw === undefined || raw === null || String(raw).trim() === '') return DEFAULT_CACHE_TTL_MS;
|
|
||||||
const num = Number(raw);
|
|
||||||
if (!Number.isFinite(num) || num < 0) return DEFAULT_CACHE_TTL_MS;
|
|
||||||
return num;
|
|
||||||
}
|
|
||||||
|
|
||||||
function resolveTargetDays(value) {
|
|
||||||
const num = Number(value);
|
|
||||||
if (!Number.isFinite(num) || num <= 0) return DEFAULT_TARGET_DAYS;
|
|
||||||
return Math.min(Math.round(num), 90);
|
|
||||||
}
|
|
||||||
|
|
||||||
// ── 拣货位清单（本地库）────────────────────────────────────────────
|
|
||||||
async function loadPickBinRows(warehouseKey) {
|
|
||||||
const rows = await database.local.query(
|
|
||||||
'SELECT bin_code AS binCode, imported_at AS importedAt FROM bin_replenish_pick_bin WHERE warehouse_key = ?',
|
|
||||||
[warehouseKey]
|
|
||||||
);
|
|
||||||
return rows || [];
|
|
||||||
}
|
|
||||||
|
|
||||||
async function loadLatestPickBinBatch(warehouseKey) {
|
|
||||||
const rows = await database.local.query(
|
|
||||||
`SELECT batch_id AS batchId, file_name AS fileName, imported_rows AS importedRows,
|
|
||||||
imported_by AS importedBy, imported_at AS importedAt
|
|
||||||
FROM bin_replenish_import_batch WHERE warehouse_key = ?
|
|
||||||
ORDER BY imported_at DESC LIMIT 1`,
|
|
||||||
[warehouseKey]
|
|
||||||
);
|
|
||||||
return rows?.[0] || null;
|
|
||||||
}
|
|
||||||
|
|
||||||
async function getPickBinMeta(warehouseKey) {
|
|
||||||
const [bins, batch] = await Promise.all([
|
|
||||||
loadPickBinRows(warehouseKey),
|
|
||||||
loadLatestPickBinBatch(warehouseKey),
|
|
||||||
]);
|
|
||||||
return {
|
|
||||||
count: bins.length,
|
|
||||||
sample: bins.slice(0, 20).map((row) => row.binCode),
|
|
||||||
lastImport: batch,
|
|
||||||
source: bins.length > 0 ? 'import' : 'fallback',
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 从任意表格/文本里抽取货位号：扫描所有单元格，按逗号/分号/换行拆开，保留 ASCII 货位形态 */
|
|
||||||
const BIN_TOKEN_PATTERN = /^[0-9A-Z]+(?:-[0-9A-Z]+){0,5}$/;
|
|
||||||
// 表头 / 常见非货位词，避免把标题行当成货位导进来
|
|
||||||
const BIN_TOKEN_BLOCKLIST = new Set(['BIN', 'CODE', 'SKU', 'SNO', 'NO', 'ID', 'LOCATION', 'LOC', 'POSITION']);
|
|
||||||
|
|
||||||
function extractBinCodes(matrix = []) {
|
|
||||||
const codes = new Set();
|
|
||||||
let candidates = 0;
|
|
||||||
matrix.forEach((row) => {
|
|
||||||
(Array.isArray(row) ? row : [row]).forEach((cell) => {
|
|
||||||
if (cell === null || cell === undefined) return;
|
|
||||||
if (cell instanceof Date) return;
|
|
||||||
const text = String(cell).trim();
|
|
||||||
if (!text) return;
|
|
||||||
const tokens = text.split(/[,，;；\s\r\n\t|、]+/u).filter(Boolean);
|
|
||||||
tokens.forEach((token) => {
|
|
||||||
const code = normalizeBin(token);
|
|
||||||
if (!code) return;
|
|
||||||
candidates += 1;
|
|
||||||
if (code.length < 3 || code.length > 64) return;
|
|
||||||
if (BIN_TOKEN_BLOCKLIST.has(code)) return;
|
|
||||||
if (!BIN_TOKEN_PATTERN.test(code)) return;
|
|
||||||
// 纯数字/纯字母也放过（有些仓用 A01、1234 这种），但单个字符的不要
|
|
||||||
if (/^\d+$/.test(code) && code.length < 2) return;
|
|
||||||
codes.add(code);
|
|
||||||
});
|
|
||||||
});
|
|
||||||
});
|
|
||||||
return { codes: [...codes], candidates };
|
|
||||||
}
|
|
||||||
|
|
||||||
async function importPickBins({ buffer, fileName, warehouseKey, importedBy }) {
|
|
||||||
if (!buffer || !buffer.length) {
|
|
||||||
const error = new Error('文件内容为空，请重新选择');
|
|
||||||
error.statusCode = 400;
|
|
||||||
throw error;
|
|
||||||
}
|
|
||||||
const key = resolveWarehouseKey(warehouseKey);
|
|
||||||
let workbook;
|
|
||||||
try {
|
|
||||||
workbook = XLSX.read(buffer, { type: 'buffer', cellDates: false });
|
|
||||||
} catch (error) {
|
|
||||||
const err = new Error(`文件解析失败：${error.message}`);
|
|
||||||
err.statusCode = 400;
|
|
||||||
throw err;
|
|
||||||
}
|
|
||||||
|
|
||||||
const matrix = [];
|
|
||||||
workbook.SheetNames.forEach((sheetName) => {
|
|
||||||
const sheet = workbook.Sheets[sheetName];
|
|
||||||
if (!sheet) return;
|
|
||||||
const rows = XLSX.utils.sheet_to_json(sheet, { header: 1, defval: null, blankrows: false });
|
|
||||||
rows.forEach((row) => matrix.push(row));
|
|
||||||
});
|
|
||||||
|
|
||||||
const { codes, candidates } = extractBinCodes(matrix);
|
|
||||||
if (!codes.length) {
|
|
||||||
const error = new Error('没有识别到货位号。清单里请只放货位号（如 XA01-01-11），或把它放在单独一列。');
|
|
||||||
error.statusCode = 400;
|
|
||||||
throw error;
|
|
||||||
}
|
|
||||||
|
|
||||||
const batchId = crypto.randomBytes(8).toString('hex');
|
|
||||||
await database.local.query('DELETE FROM bin_replenish_pick_bin WHERE warehouse_key = ?', [key]);
|
|
||||||
|
|
||||||
const CHUNK = 500;
|
|
||||||
for (let i = 0; i < codes.length; i += CHUNK) {
|
|
||||||
const chunk = codes.slice(i, i + CHUNK);
|
|
||||||
const placeholders = chunk.map(() => '(?,?,?,NOW())').join(',');
|
|
||||||
const params = [];
|
|
||||||
chunk.forEach((code) => {
|
|
||||||
params.push(key, code, batchId);
|
|
||||||
});
|
|
||||||
// eslint-disable-next-line no-await-in-loop
|
|
||||||
await database.local.query(
|
|
||||||
`INSERT INTO bin_replenish_pick_bin (warehouse_key, bin_code, batch_id, imported_at) VALUES ${placeholders}`,
|
|
||||||
params
|
|
||||||
);
|
|
||||||
}
|
|
||||||
|
|
||||||
await database.local.query(
|
|
||||||
`INSERT INTO bin_replenish_import_batch
|
|
||||||
(batch_id, warehouse_key, file_name, total_cells, imported_rows, imported_by, imported_at)
|
|
||||||
VALUES (?,?,?,?,?,?,NOW())`,
|
|
||||||
[batchId, key, toText(fileName, 255) || null, candidates, codes.length, toText(importedBy, 100) || null]
|
|
||||||
);
|
|
||||||
|
|
||||||
invalidateCache(key);
|
|
||||||
|
|
||||||
return {
|
|
||||||
batchId,
|
|
||||||
warehouse: WAREHOUSES[key],
|
|
||||||
importedRows: codes.length,
|
|
||||||
totalCells: candidates,
|
|
||||||
fileName: toText(fileName, 255) || null,
|
|
||||||
sample: codes.slice(0, 20),
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
async function clearPickBins(warehouseKey) {
|
|
||||||
const key = resolveWarehouseKey(warehouseKey);
|
|
||||||
const rows = await database.local.query(
|
|
||||||
'SELECT COUNT(*) AS cnt FROM bin_replenish_pick_bin WHERE warehouse_key = ?',
|
|
||||||
[key]
|
|
||||||
);
|
|
||||||
await database.local.query('DELETE FROM bin_replenish_pick_bin WHERE warehouse_key = ?', [key]);
|
|
||||||
invalidateCache(key);
|
|
||||||
return { warehouse: WAREHOUSES[key], removed: Number(rows?.[0]?.cnt || 0) };
|
|
||||||
}
|
|
||||||
|
|
||||||
// ── 副本取数 ────────────────────────────────────────────────────────
|
|
||||||
/**
|
|
||||||
* 按 SKU + 货位 + 记录类型聚合。
|
|
||||||
* 必须用 GROUP BY（不要把原始行拉回进程）：视图原始行 25,488 行约 80s，
|
|
||||||
* 聚合后 23,751 行约 43s，是当前可用的最快形态。
|
|
||||||
*/
|
|
||||||
async function loadReplicaRows(warehouse) {
|
|
||||||
const sql = `
|
|
||||||
SELECT p.sku_id AS skuId,
|
|
||||||
p.bin AS bin,
|
|
||||||
p.pack_type AS packType,
|
|
||||||
p.bin_group AS binGroup,
|
|
||||||
SUM(p.qty) AS qty,
|
|
||||||
MAX(s.name) AS productName,
|
|
||||||
MAX(s.supplier_name) AS supplier
|
|
||||||
FROM rpt.jst_packInventoryInfo p
|
|
||||||
LEFT JOIN rpt.jst_sku s ON s.sku_id = p.sku_id
|
|
||||||
WHERE p.wms_co_id = @wmsCoId
|
|
||||||
GROUP BY p.sku_id, p.bin, p.pack_type, p.bin_group`;
|
|
||||||
return cloudDb.query(sql, { wmsCoId: warehouse.wmsCoId }, { requestTimeout: 600000 });
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 近15天日销（同仓最新快照），只用于算目标库存与排序 */
|
|
||||||
async function loadDailySaleMap(warehouse) {
|
|
||||||
const rows = await cloudDb.query(
|
|
||||||
`SELECT sku_id AS skuId, fifteenAvgSale AS avgSale
|
|
||||||
FROM rpt.pm_stockMonitor
|
|
||||||
WHERE warehouse = @warehouseName
|
|
||||||
AND CONVERT(varchar(10), date, 23) = (
|
|
||||||
SELECT CONVERT(varchar(10), MAX(date), 23)
|
|
||||||
FROM rpt.pm_stockMonitor WHERE warehouse = @warehouseName
|
|
||||||
)`,
|
|
||||||
{ warehouseName: warehouse.name },
|
|
||||||
{ requestTimeout: 300000 }
|
|
||||||
);
|
|
||||||
const map = new Map();
|
|
||||||
(rows || []).forEach((row) => {
|
|
||||||
const skuId = toText(row.skuId, 120);
|
|
||||||
if (skuId) map.set(skuId, toNumber(row.avgSale));
|
|
||||||
});
|
|
||||||
return map;
|
|
||||||
}
|
|
||||||
|
|
||||||
// ── 组装 ────────────────────────────────────────────────────────────
|
|
||||||
function buildSkuRows({ replicaRows, pickBinSet, dailySaleMap, targetDays, useFallback }) {
|
|
||||||
const skuMap = new Map();
|
|
||||||
|
|
||||||
(replicaRows || []).forEach((row) => {
|
|
||||||
const skuId = toText(row.skuId, 120);
|
|
||||||
if (!skuId) return;
|
|
||||||
const bin = normalizeBin(row.bin);
|
|
||||||
const qty = toNumber(row.qty);
|
|
||||||
const isPick = useFallback
|
|
||||||
// 默认口径与「拣选库位动销分析」一致：真实拣选位 = pack_type='Bin' 且 bin_group 为空
|
|
||||||
// （bin_group='存货' 与 pack_type='Pack' 都是存货，不算拣选位）
|
|
||||||
? (toText(row.packType) === 'Bin' && !toText(row.binGroup))
|
|
||||||
: (bin ? pickBinSet.has(bin) : false);
|
|
||||||
|
|
||||||
let entry = skuMap.get(skuId);
|
|
||||||
if (!entry) {
|
|
||||||
entry = {
|
|
||||||
skuId,
|
|
||||||
productName: toText(row.productName, 300) || '',
|
|
||||||
supplier: toText(row.supplier, 120) || '',
|
|
||||||
pickQty: 0,
|
|
||||||
storageQty: 0,
|
|
||||||
pickBins: [],
|
|
||||||
storageBins: [],
|
|
||||||
};
|
|
||||||
skuMap.set(skuId, entry);
|
|
||||||
}
|
|
||||||
if (!entry.productName) entry.productName = toText(row.productName, 300) || '';
|
|
||||||
if (!entry.supplier) entry.supplier = toText(row.supplier, 120) || '';
|
|
||||||
|
|
||||||
if (isPick) {
|
|
||||||
entry.pickQty += qty;
|
|
||||||
entry.pickBins.push({ bin: bin || '未维护', qty });
|
|
||||||
} else {
|
|
||||||
entry.storageQty += qty;
|
|
||||||
entry.storageBins.push({ bin: bin || '未维护', qty });
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
const rows = [];
|
|
||||||
skuMap.forEach((entry) => {
|
|
||||||
const avgSale = toNumber(dailySaleMap.get(entry.skuId), 0);
|
|
||||||
const targetQty = Math.max(MIN_TARGET_QTY, Math.ceil(avgSale * targetDays));
|
|
||||||
const pickQty = round2(entry.pickQty);
|
|
||||||
const storageQty = round2(entry.storageQty);
|
|
||||||
|
|
||||||
let status = STATUS.OK;
|
|
||||||
if (entry.pickBins.length === 0) {
|
|
||||||
// 这个 SKU 压根没有拣货位（整箱直发 / 未维护）——不是「拣货位缺货」，
|
|
||||||
// 不能混进待补货清单，否则会刷出几千条误报。
|
|
||||||
status = STATUS.NO_PICK;
|
|
||||||
} else if (pickQty <= 0) {
|
|
||||||
status = storageQty > 0 ? STATUS.PICK_OUT : STATUS.EMPTY;
|
|
||||||
} else if (pickQty < targetQty && storageQty > 0) {
|
|
||||||
status = STATUS.LOW;
|
|
||||||
}
|
|
||||||
|
|
||||||
const suggestQty = status === STATUS.PICK_OUT || status === STATUS.LOW
|
|
||||||
? Math.max(0, Math.min(Math.ceil(storageQty), Math.ceil(targetQty - pickQty)))
|
|
||||||
: 0;
|
|
||||||
|
|
||||||
const pickBins = entry.pickBins
|
|
||||||
.slice()
|
|
||||||
.sort((a, b) => b.qty - a.qty || a.bin.localeCompare(b.bin));
|
|
||||||
const storageBins = entry.storageBins
|
|
||||||
.filter((item) => item.qty > 0)
|
|
||||||
.sort((a, b) => b.qty - a.qty)
|
|
||||||
.slice(0, 5);
|
|
||||||
|
|
||||||
rows.push({
|
|
||||||
skuId: entry.skuId,
|
|
||||||
productName: entry.productName,
|
|
||||||
supplier: entry.supplier,
|
|
||||||
status,
|
|
||||||
statusLabel: STATUS_LABELS[status],
|
|
||||||
pickQty,
|
|
||||||
storageQty,
|
|
||||||
totalQty: round2(pickQty + storageQty),
|
|
||||||
targetQty,
|
|
||||||
suggestQty,
|
|
||||||
avgSale: round2(avgSale),
|
|
||||||
pickBinCount: entry.pickBins.length,
|
|
||||||
pickBins,
|
|
||||||
storageBins,
|
|
||||||
hasPickSlot: entry.pickBins.length > 0,
|
|
||||||
});
|
|
||||||
});
|
|
||||||
|
|
||||||
return rows;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 按页面传入的目标天数重算目标库存与建议补货量（缓存里存的是默认 7 天口径） */
|
|
||||||
function applyTargetDays(rows, targetDays) {
|
|
||||||
if (targetDays === DEFAULT_TARGET_DAYS) return rows;
|
|
||||||
return rows.map((row) => {
|
|
||||||
const targetQty = Math.max(MIN_TARGET_QTY, Math.ceil(row.avgSale * targetDays));
|
|
||||||
const suggestQty = (row.status === STATUS.PICK_OUT || row.status === STATUS.LOW)
|
|
||||||
? Math.max(0, Math.min(Math.ceil(row.storageQty), Math.ceil(targetQty - row.pickQty)))
|
|
||||||
: 0;
|
|
||||||
return { ...row, targetQty, suggestQty };
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
function buildSummary(rows, meta) {
|
|
||||||
const summary = {
|
|
||||||
skuTotal: rows.length,
|
|
||||||
pickout: 0,
|
|
||||||
empty: 0,
|
|
||||||
low: 0,
|
|
||||||
nopick: 0,
|
|
||||||
ok: 0,
|
|
||||||
suggestQtyTotal: 0,
|
|
||||||
pickoutQtyTotal: 0,
|
|
||||||
storageQtyTotal: 0,
|
|
||||||
withPickSlot: 0,
|
|
||||||
source: meta.source,
|
|
||||||
pickBinCount: meta.pickBinCount,
|
|
||||||
};
|
|
||||||
rows.forEach((row) => {
|
|
||||||
if (summary[row.status] !== undefined) summary[row.status] += 1;
|
|
||||||
summary.suggestQtyTotal += row.suggestQty || 0;
|
|
||||||
summary.storageQtyTotal += row.storageQty || 0;
|
|
||||||
if (row.status === STATUS.PICK_OUT) summary.pickoutQtyTotal += row.suggestQty || 0;
|
|
||||||
if (row.hasPickSlot) summary.withPickSlot += 1;
|
|
||||||
});
|
|
||||||
summary.suggestQtyTotal = round2(summary.suggestQtyTotal);
|
|
||||||
summary.pickoutQtyTotal = round2(summary.pickoutQtyTotal);
|
|
||||||
summary.storageQtyTotal = round2(summary.storageQtyTotal);
|
|
||||||
return summary;
|
|
||||||
}
|
|
||||||
|
|
||||||
async function loadDataset(warehouse, { refresh = false } = {}) {
|
|
||||||
const cacheKey = warehouse.key;
|
|
||||||
const cached = cacheStore.get(cacheKey);
|
|
||||||
const ttl = resolveCacheTtlMs();
|
|
||||||
const now = Date.now();
|
|
||||||
if (!refresh && cached && ttl > 0 && now - cached.at < ttl) {
|
|
||||||
return { ...cached, cacheHit: true };
|
|
||||||
}
|
|
||||||
|
|
||||||
const epoch = cacheEpoch;
|
|
||||||
const [replicaRows, pickBins, dailySaleMap] = await Promise.all([
|
|
||||||
loadReplicaRows(warehouse),
|
|
||||||
loadPickBinRows(warehouse.key),
|
|
||||||
loadDailySaleMap(warehouse).catch(() => new Map()),
|
|
||||||
]);
|
|
||||||
|
|
||||||
const pickBinSet = new Set(pickBins.map((row) => normalizeBin(row.binCode)).filter(Boolean));
|
|
||||||
const useFallback = pickBinSet.size === 0;
|
|
||||||
const rows = buildSkuRows({
|
|
||||||
replicaRows,
|
|
||||||
pickBinSet,
|
|
||||||
dailySaleMap,
|
|
||||||
targetDays: DEFAULT_TARGET_DAYS,
|
|
||||||
useFallback,
|
|
||||||
});
|
|
||||||
|
|
||||||
const dataset = {
|
|
||||||
at: now,
|
|
||||||
rows,
|
|
||||||
warehouse,
|
|
||||||
meta: {
|
|
||||||
source: useFallback ? 'fallback' : 'import',
|
|
||||||
pickBinCount: pickBinSet.size,
|
|
||||||
dailySaleSkus: dailySaleMap.size,
|
|
||||||
rowCount: rows.length,
|
|
||||||
},
|
|
||||||
};
|
|
||||||
// 只有最新一轮（未被清缓存）的结果才写回，避免清缓存后旧查询覆盖新数据
|
|
||||||
if (epoch === cacheEpoch) cacheStore.set(cacheKey, dataset);
|
|
||||||
return { ...dataset, cacheHit: false };
|
|
||||||
}
|
|
||||||
|
|
||||||
function invalidateCache(warehouseKey) {
|
|
||||||
cacheEpoch += 1;
|
|
||||||
if (warehouseKey) cacheStore.delete(resolveWarehouseKey(warehouseKey));
|
|
||||||
else cacheStore.clear();
|
|
||||||
}
|
|
||||||
|
|
||||||
function matchesStatus(row, status) {
|
|
||||||
const key = toText(status, 20).toLowerCase();
|
|
||||||
if (!key || key === 'all') return true;
|
|
||||||
if (key === 'action' || key === 'todo') {
|
|
||||||
return row.status === STATUS.PICK_OUT || row.status === STATUS.LOW || row.status === STATUS.EMPTY;
|
|
||||||
}
|
|
||||||
if (key === 'replenish') return row.status === STATUS.PICK_OUT || row.status === STATUS.LOW;
|
|
||||||
return row.status === key;
|
|
||||||
}
|
|
||||||
|
|
||||||
function sortRows(rows) {
|
|
||||||
return rows.slice().sort((a, b) => (
|
|
||||||
(STATUS_RANK[b.status] || 0) - (STATUS_RANK[a.status] || 0)
|
|
||||||
|| (b.suggestQty || 0) - (a.suggestQty || 0)
|
|
||||||
|| String(a.skuId).localeCompare(String(b.skuId))
|
|
||||||
));
|
|
||||||
}
|
|
||||||
|
|
||||||
function filterRows(rows, { keyword, status }) {
|
|
||||||
const kw = toText(keyword, 120).toLowerCase();
|
|
||||||
return rows.filter((row) => {
|
|
||||||
if (!matchesStatus(row, status)) return false;
|
|
||||||
if (!kw) return true;
|
|
||||||
return row.skuId.toLowerCase().includes(kw)
|
|
||||||
|| String(row.productName || '').toLowerCase().includes(kw)
|
|
||||||
|| String(row.supplier || '').toLowerCase().includes(kw);
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
async function getReplenishList(options = {}) {
|
|
||||||
const warehouse = resolveWarehouse(options.warehouse);
|
|
||||||
const targetDays = resolveTargetDays(options.targetDays);
|
|
||||||
const dataset = await loadDataset(warehouse, { refresh: String(options.refresh) === 'true' });
|
|
||||||
|
|
||||||
// targetDays 是页面参数，不进缓存：缓存的是原始聚合，这里按参数重算目标/建议量
|
|
||||||
const rows = applyTargetDays(dataset.rows, targetDays);
|
|
||||||
|
|
||||||
const filtered = sortRows(filterRows(rows, options));
|
|
||||||
const pickBinMeta = await getPickBinMeta(warehouse.key);
|
|
||||||
const summary = buildSummary(rows, {
|
|
||||||
source: pickBinMeta.source,
|
|
||||||
pickBinCount: pickBinMeta.count,
|
|
||||||
});
|
|
||||||
const page = Math.max(1, Number.parseInt(options.page, 10) || 1);
|
|
||||||
const pageSize = Math.min(MAX_PAGE_SIZE, Math.max(1, Number.parseInt(options.pageSize, 10) || 50));
|
|
||||||
const start = (page - 1) * pageSize;
|
|
||||||
|
|
||||||
return {
|
|
||||||
rows: filtered.slice(start, start + pageSize),
|
|
||||||
total: filtered.length,
|
|
||||||
page,
|
|
||||||
pageSize,
|
|
||||||
summary,
|
|
||||||
warehouse,
|
|
||||||
warehouses: Object.values(WAREHOUSES),
|
|
||||||
targetDays,
|
|
||||||
cacheHit: dataset.cacheHit,
|
|
||||||
updatedAt: new Date(dataset.at).toISOString(),
|
|
||||||
cacheTtlMs: resolveCacheTtlMs(),
|
|
||||||
pickBinMeta,
|
|
||||||
dailySaleSkus: dataset.meta.dailySaleSkus,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
async function getReplenishExportRows(options = {}) {
|
|
||||||
const warehouse = resolveWarehouse(options.warehouse);
|
|
||||||
const dataset = await loadDataset(warehouse, { refresh: String(options.refresh) === 'true' });
|
|
||||||
const targetDays = resolveTargetDays(options.targetDays);
|
|
||||||
const rows = applyTargetDays(dataset.rows, targetDays);
|
|
||||||
return {
|
|
||||||
warehouse,
|
|
||||||
rows: sortRows(filterRows(rows, options)),
|
|
||||||
summary: buildSummary(rows, {
|
|
||||||
source: dataset.meta.source,
|
|
||||||
pickBinCount: dataset.meta.pickBinCount,
|
|
||||||
}),
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 启动预热：视图查询 35~45s，不能让首个用户请求等 */
|
|
||||||
async function warmBinReplenishCache() {
|
|
||||||
try {
|
|
||||||
const warehouse = WAREHOUSES[DEFAULT_WAREHOUSE_KEY];
|
|
||||||
const t0 = Date.now();
|
|
||||||
await loadDataset(warehouse, { refresh: true });
|
|
||||||
console.log(`[BinReplenish] 预热完成 ${warehouse.name}，耗时 ${Date.now() - t0}ms`);
|
|
||||||
} catch (error) {
|
|
||||||
console.warn('[BinReplenish] 预热失败：', error.message);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
DEFAULT_WAREHOUSE_KEY,
|
|
||||||
STATUS,
|
|
||||||
STATUS_LABELS,
|
|
||||||
WAREHOUSES,
|
|
||||||
clearPickBins,
|
|
||||||
getPickBinMeta,
|
|
||||||
getReplenishExportRows,
|
|
||||||
getReplenishList,
|
|
||||||
importPickBins,
|
|
||||||
loadDataset,
|
|
||||||
normalizeBin,
|
|
||||||
resolveWarehouse,
|
|
||||||
resolveWarehouseKey,
|
|
||||||
warmBinReplenishCache,
|
|
||||||
};
|
|
||||||
@ -1,210 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 钉钉「群自定义机器人」webhook 发文本通道（2026-10-22 新增）
|
|
||||||
* ────────────────────────────────────────────────────────────────────────────
|
|
||||||
* 为什么不用企业内部应用发文件？
|
|
||||||
* 群机器人 webhook **只能发** text / markdown / link / actionCard / feedCard，
|
|
||||||
* 发 .xlsx 附件必须走企业内部应用（AppKey/AppSecret/robotCode/openConversationId）。
|
|
||||||
* 业务最终选择「群里直接看文本」，于是回到最简单的一条路：
|
|
||||||
* 只要一个 webhook 地址（加签可选），不用申请应用、不用管 token 过期。
|
|
||||||
*
|
|
||||||
* 请求形状（钉钉官方「自定义机器人接入」）：
|
|
||||||
* POST https://oapi.dingtalk.com/robot/send?access_token=xxx×tamp=xxx&sign=xxx
|
|
||||||
* { "msgtype": "text", "text": { "content": "..." }, "at": { "isAtAll": false } }
|
|
||||||
* → { "errcode": 0, "errmsg": "ok" }
|
|
||||||
*
|
|
||||||
* 三个必须知道的限制（踩过就知道疼）：
|
|
||||||
* ① text.content **上限 20000 字节**（中文 UTF-8 是 3 字节/字）→ 超了钉钉直接 400，
|
|
||||||
* 所以这里按**字节**截断（不是按字符），并返回是否被截断。
|
|
||||||
* ② 加了「自定义关键词」安全设置时，content 里必须含关键词（常用「异常」「提醒」），
|
|
||||||
* 否则 errcode 310000。这个错要让业务自己看得懂，所以原样透出 errmsg。
|
|
||||||
* ③ 加签密钥（SEC 开头）算出来的 sign 必须 **urlEncode**，且 timestamp 是**毫秒**。
|
|
||||||
* 顺序错了就是 310000 sign not match，很难看出是编码问题。
|
|
||||||
*
|
|
||||||
* 失败一律抛错并带上钉钉原始 errcode/errmsg —— 业务排错全靠这个码。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const crypto = require('crypto');
|
|
||||||
|
|
||||||
const OAPI_BASE = process.env.DINGTALK_OAPI_BASE || 'https://oapi.dingtalk.com';
|
|
||||||
const REQUEST_TIMEOUT_MS = Math.max(Number(process.env.DINGTALK_WEBHOOK_TIMEOUT_MS) || 20000, 3000);
|
|
||||||
// 钉钉 text 消息 content 的硬上限（字节）。留 200 字节余量给自己追加的尾巴
|
|
||||||
const MAX_CONTENT_BYTES = 20000;
|
|
||||||
const SAFE_CONTENT_BYTES = MAX_CONTENT_BYTES - 200;
|
|
||||||
|
|
||||||
function normalizeText(value, maxLength = 512) {
|
|
||||||
return String(value ?? '').trim().slice(0, maxLength);
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 按 UTF-8 **字节**截断，且不把多字节字符切一半 */
|
|
||||||
function truncateBytes(text, maxBytes = SAFE_CONTENT_BYTES) {
|
|
||||||
const source = String(text ?? '');
|
|
||||||
if (Buffer.byteLength(source, 'utf8') <= maxBytes) return { text: source, truncated: false };
|
|
||||||
const chars = Array.from(source);
|
|
||||||
let bytes = 0;
|
|
||||||
let out = '';
|
|
||||||
for (const char of chars) {
|
|
||||||
const size = Buffer.byteLength(char, 'utf8');
|
|
||||||
if (bytes + size > maxBytes) break;
|
|
||||||
bytes += size;
|
|
||||||
out += char;
|
|
||||||
}
|
|
||||||
return { text: out, truncated: true };
|
|
||||||
}
|
|
||||||
|
|
||||||
function buildDingTalkError(label, payload, httpStatus) {
|
|
||||||
const code = payload?.errcode ?? payload?.code ?? httpStatus ?? null;
|
|
||||||
const message = payload?.errmsg || payload?.message || `${label}失败`;
|
|
||||||
const error = new Error(`${label}失败（${code}）：${message}`);
|
|
||||||
error.code = code;
|
|
||||||
error.httpStatus = httpStatus || null;
|
|
||||||
error.dingtalk = payload || null;
|
|
||||||
return error;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 校验 webhook 地址。放宽 host（支持自建代理 / 测试 stub），但必须 https 且是 robot/send。
|
|
||||||
* 返回去掉首尾空白后的地址；不合法抛 400（页面上直接提示，不让它跑到定时任务里才炸）。
|
|
||||||
*/
|
|
||||||
function normalizeWebhookUrl(value) {
|
|
||||||
const text = normalizeText(value, 1024);
|
|
||||||
if (!text) {
|
|
||||||
throw Object.assign(new Error('请填写钉钉群机器人的 Webhook 地址'), { status: 400, code: 'WEBHOOK_REQUIRED' });
|
|
||||||
}
|
|
||||||
let url;
|
|
||||||
try {
|
|
||||||
url = new URL(text);
|
|
||||||
} catch (_error) {
|
|
||||||
throw Object.assign(new Error('Webhook 地址不是合法 URL'), { status: 400, code: 'WEBHOOK_INVALID' });
|
|
||||||
}
|
|
||||||
if (!/^https?:$/.test(url.protocol)) {
|
|
||||||
throw Object.assign(new Error('Webhook 地址必须以 http(s):// 开头'), { status: 400, code: 'WEBHOOK_INVALID' });
|
|
||||||
}
|
|
||||||
// 严格匹配 `/robot/send`（不要用「以 /robot/send 结尾」—— 那样
|
|
||||||
// `topapi/robot/send` 这种企业内部应用地址也会被放过去，最后报一个难懂的 404）
|
|
||||||
if (!/^\/robot\/send\/?$/.test(url.pathname)) {
|
|
||||||
throw Object.assign(
|
|
||||||
new Error('这不像群机器人 Webhook（正常形如 https://oapi.dingtalk.com/robot/send?access_token=xxx）'),
|
|
||||||
{ status: 400, code: 'WEBHOOK_INVALID' }
|
|
||||||
);
|
|
||||||
}
|
|
||||||
if (!url.searchParams.get('access_token')) {
|
|
||||||
throw Object.assign(
|
|
||||||
new Error('Webhook 地址缺少 access_token 参数，请从钉钉群机器人设置里完整复制'),
|
|
||||||
{ status: 400, code: 'WEBHOOK_INVALID' }
|
|
||||||
);
|
|
||||||
}
|
|
||||||
return url.toString();
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 加签：sign = urlEncode(base64(HmacSHA256(secret, `${timestamp}\n${secret}`)))
|
|
||||||
* ⚠️ HMAC 的 key 是 secret、消息是 `timestamp\nsecret`（顺序反过来就是 310000）
|
|
||||||
*/
|
|
||||||
function buildSignedUrl(webhookUrl, secret, timestampMs = Date.now()) {
|
|
||||||
const timestamp = String(Number(timestampMs) || Date.now());
|
|
||||||
const timestamped = new URL(webhookUrl);
|
|
||||||
timestamped.searchParams.set('timestamp', timestamp);
|
|
||||||
|
|
||||||
const text = normalizeText(secret, 256);
|
|
||||||
if (!text) return timestamped.toString();
|
|
||||||
|
|
||||||
const sign = crypto
|
|
||||||
.createHmac('sha256', text)
|
|
||||||
.update(`${timestamp}\n${text}`, 'utf8')
|
|
||||||
.digest('base64');
|
|
||||||
timestamped.searchParams.set('sign', sign);
|
|
||||||
return timestamped.toString();
|
|
||||||
}
|
|
||||||
|
|
||||||
async function requestJson(label, url, options = {}) {
|
|
||||||
const controller = new AbortController();
|
|
||||||
const timer = setTimeout(() => controller.abort(), REQUEST_TIMEOUT_MS);
|
|
||||||
try {
|
|
||||||
const response = await fetch(url, { ...options, signal: controller.signal });
|
|
||||||
const raw = await response.text();
|
|
||||||
let payload = null;
|
|
||||||
try {
|
|
||||||
payload = raw ? JSON.parse(raw) : {};
|
|
||||||
} catch (_error) {
|
|
||||||
payload = { errmsg: raw.slice(0, 500) };
|
|
||||||
}
|
|
||||||
if (!response.ok) throw buildDingTalkError(label, payload, response.status);
|
|
||||||
if (payload && payload.errcode !== undefined && Number(payload.errcode) !== 0) {
|
|
||||||
throw buildDingTalkError(label, payload, response.status);
|
|
||||||
}
|
|
||||||
return payload || {};
|
|
||||||
} catch (error) {
|
|
||||||
if (error.name === 'AbortError') {
|
|
||||||
throw Object.assign(new Error(`${label}超时（${REQUEST_TIMEOUT_MS}ms）`), { code: 'TIMEOUT' });
|
|
||||||
}
|
|
||||||
throw error;
|
|
||||||
} finally {
|
|
||||||
clearTimeout(timer);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 发一条文本消息到群。
|
|
||||||
* @param {object} params
|
|
||||||
* @param {string} params.webhookUrl 群机器人 Webhook（含 access_token）
|
|
||||||
* @param {string} [params.secret] 加签密钥（安全设置选「加签」时填；选关键词/IP 时留空）
|
|
||||||
* @param {string} params.content 纯文本（支持 \n 换行）
|
|
||||||
* @param {boolean} [params.atAll] 是否 @所有人
|
|
||||||
* @param {string[]} [params.atMobiles]
|
|
||||||
* @returns {Promise<{delivered:boolean,truncated:boolean,bytes:number,content:string}>}
|
|
||||||
*/
|
|
||||||
async function sendTextToWebhook({
|
|
||||||
webhookUrl, secret, content, atAll = false, atMobiles = [],
|
|
||||||
}) {
|
|
||||||
const base = normalizeWebhookUrl(webhookUrl);
|
|
||||||
const raw = String(content ?? '');
|
|
||||||
if (!raw.trim()) {
|
|
||||||
throw Object.assign(new Error('待发送的消息内容为空'), { code: 'EMPTY_CONTENT' });
|
|
||||||
}
|
|
||||||
|
|
||||||
const limited = truncateBytes(raw);
|
|
||||||
const url = buildSignedUrl(base, secret);
|
|
||||||
const mobiles = (Array.isArray(atMobiles) ? atMobiles : [])
|
|
||||||
.map((item) => normalizeText(item, 32))
|
|
||||||
.filter((item) => /^\d{6,20}$/.test(item));
|
|
||||||
|
|
||||||
const payload = await requestJson('发送钉钉群消息', url, {
|
|
||||||
method: 'POST',
|
|
||||||
headers: { 'Content-Type': 'application/json;charset=utf-8' },
|
|
||||||
body: JSON.stringify({
|
|
||||||
msgtype: 'text',
|
|
||||||
text: { content: limited.text },
|
|
||||||
at: { isAtAll: atAll === true, atMobiles: mobiles },
|
|
||||||
}),
|
|
||||||
});
|
|
||||||
|
|
||||||
return {
|
|
||||||
delivered: true,
|
|
||||||
truncated: limited.truncated,
|
|
||||||
bytes: Buffer.byteLength(limited.text, 'utf8'),
|
|
||||||
content: limited.text,
|
|
||||||
errmsg: normalizeText(payload.errmsg, 200) || 'ok',
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 「测试推送」用一句短文本探活：只验 webhook（+加签）能不能通。
|
|
||||||
* 不读取业务数据 —— 测试时不该因为数据慢而误判成通道坏。
|
|
||||||
*/
|
|
||||||
async function sendProbeText({ webhookUrl, secret, text }) {
|
|
||||||
const content = normalizeText(text, 500)
|
|
||||||
|| '【仓储中心物流转运异常】通知通道测试：收到这条说明 webhook 配置可用。';
|
|
||||||
return sendTextToWebhook({ webhookUrl, secret, content });
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
MAX_CONTENT_BYTES,
|
|
||||||
OAPI_BASE,
|
|
||||||
buildSignedUrl,
|
|
||||||
normalizeWebhookUrl,
|
|
||||||
sendProbeText,
|
|
||||||
sendTextToWebhook,
|
|
||||||
truncateBytes,
|
|
||||||
};
|
|
||||||
@ -16,8 +16,6 @@ const { ensureReturnMonitorSchema } = require('./returnMonitorSchema');
|
|||||||
const {
|
const {
|
||||||
ensureReturnStockWarningSchema,
|
ensureReturnStockWarningSchema,
|
||||||
} = require('./returnStockWarningSchema');
|
} = require('./returnStockWarningSchema');
|
||||||
const { ensureBinReplenishSchema } = require('./binReplenishSchema');
|
|
||||||
const { warmBinReplenishCache } = require('./binReplenishService');
|
|
||||||
const { warmReturnStockWarningCache } = require('./returnStockWarningService');
|
const { warmReturnStockWarningCache } = require('./returnStockWarningService');
|
||||||
|
|
||||||
const USER_COLUMNS = [
|
const USER_COLUMNS = [
|
||||||
@ -961,11 +959,8 @@ async function ensureLocalSchema() {
|
|||||||
await ensureProductMonitoringSchema();
|
await ensureProductMonitoringSchema();
|
||||||
await ensureReturnMonitorSchema();
|
await ensureReturnMonitorSchema();
|
||||||
await ensureReturnStockWarningSchema();
|
await ensureReturnStockWarningSchema();
|
||||||
await ensureBinReplenishSchema();
|
|
||||||
// 退货库存预警数据集（约 1,800 行，首次回源 3~10s）后台预热，不阻塞启动
|
// 退货库存预警数据集（约 1,800 行，首次回源 3~10s）后台预热，不阻塞启动
|
||||||
void warmReturnStockWarningCache();
|
void warmReturnStockWarningCache();
|
||||||
// 缺货补货监控（仓位库存视图单次查询 35~45s）后台预热，不阻塞启动
|
|
||||||
void warmBinReplenishCache();
|
|
||||||
|
|
||||||
await ensureSidebarRolePermissions();
|
await ensureSidebarRolePermissions();
|
||||||
// 商品监控数据集（5.6 万行，构建约 30s）后台预热，不阻塞启动
|
// 商品监控数据集（5.6 万行，构建约 30s）后台预热，不阻塞启动
|
||||||
|
|||||||
@ -51,18 +51,15 @@
|
|||||||
// 该表查不到 → 仓位为空，前端显示「未维护」。**不做任何回退**。
|
// 该表查不到 → 仓位为空，前端显示「未维护」。**不做任何回退**。
|
||||||
// · 列表展开（/detail）、单品明细、导出配件明细共用 loadComponentLocations()，
|
// · 列表展开（/detail）、单品明细、导出配件明细共用 loadComponentLocations()，
|
||||||
// 只打一条查询，按编码缓存 10 分钟。
|
// 只打一条查询，按编码缓存 10 分钟。
|
||||||
// ⚠️ 关联列（09-19 修正，PR #22）：仓名用 `jst_warehouseInfo.wms_co_id = p.wms_co_id`
|
// ⚠️ 关联列别踩（2026-09-17 实测）：仓名必须用 `jst_warehouseInfo.Id = p.wh_id`；
|
||||||
// —— 09-19 实测该表 30,236 行 `wms_co_id` **0 NULL、14 个仓取值**。
|
// 该表 `wms_co_id` **全表 NULL**，用 `w.wms_co_id = p.wms_co_id` 关联 85,152 行全部取不到仓名。
|
||||||
// ~~旧结论「该表 wms_co_id 全表 NULL，必须用 jst_warehouseInfo.Id = p.wh_id」~~
|
// ⚠️ 2026-09-17 全量复核（别再重复排查）：该表全表 85,152 行，但只有 **3 个箱**
|
||||||
// 只对 09-17 的表状态成立；误用 `w.Id = p.wh_id`（wh_id 仅 6 个取值、90% 为 1）
|
// （914138566000001000 / …1003 / …4000）、2 个仓库（wh_id=1 常州简尚家居 85,145 行、
|
||||||
// 会让 727 个配件的仓位仓名被统一显示成「常州简尚家居有限公司」。
|
// wh_id=4 简尚-新苏北仓 7 行）；`bin` / `bin_group` **全表为空**。
|
||||||
// 🔥 该表 **小时级增量刷新**，且 2026-09-18 被上游整表重建 ——
|
// 且表内容与 MKH 配件**零交集**：正式 BOM 的 715 个配件编码在该表一个都查不到
|
||||||
// 09-17 的「全表 85,152 行、仅 3 个箱、`bin` / `bin_group` 全表为空、与 MKH 配件
|
// （精确 + `code-%` 前缀都是 0；箱表里是 DNZ0135xx/0199xx/0203xx 老型号半成品）。
|
||||||
// **零交集**」这组结论**已全部失效**，别再照抄。
|
// → MKH 配件仓位列当前**必然全部显示「未维护」**，这是数据源现状，不是代码问题；
|
||||||
// 09-19 实测：目标仓 794 个 SKU 命中 **727** 个（真货位如 ZT-8 / BCP01-01-1）；
|
// 需业务在聚水潭给配件做装箱/维护货位后才会自动出现（代码不用再动）。
|
||||||
// 2026-09-30 实测：本配件仓（15718196）箱表有库存（bin 非空）的 SKU **734** 个。
|
|
||||||
// → 配件货位 / 箱库存数据是真实存在并持续刷新的；
|
|
||||||
// 该结论同时修正 ⑪ 的配件库存来源（箱表可作兜底，见下）。
|
|
||||||
//
|
//
|
||||||
// ⑥ 配件库存 —— 业务库 rpt.jst_inventoryInfo 按 sku_id 汇总（**商品**库存，不是配件仓位）。
|
// ⑥ 配件库存 —— 业务库 rpt.jst_inventoryInfo 按 sku_id 汇总（**商品**库存，不是配件仓位）。
|
||||||
//
|
//
|
||||||
@ -70,11 +67,8 @@
|
|||||||
// 规则：近 15 天日销 > 0 且 现有库存 < 3 天日销 → 预警补货
|
// 规则：近 15 天日销 > 0 且 现有库存 < 3 天日销 → 预警补货
|
||||||
// · 近15天日销 rpt.pm_stockMonitor.fifteenAvgSale
|
// · 近15天日销 rpt.pm_stockMonitor.fifteenAvgSale
|
||||||
// （warehouse = '简尚-崔桥工厂品牌仓'，按 date 取最新一条快照）
|
// （warehouse = '简尚-崔桥工厂品牌仓'，按 date 取最新一条快照）
|
||||||
// · 现有库存 rpt.jst_inventoryInfo（wms_co_id **仓白名单**）实时库存；
|
// · 现有库存 rpt.jst_inventoryInfo（wms_co_id = 15870495 品牌仓）实时库存；
|
||||||
// 🔥 2026-10-17 修正为**多仓求和**（原来是单仓 15870495）：商品档案 other_3 只记
|
// 该仓对 MKH 成品只覆盖约 256 / 4408 条（2026-09-16 快照；成品总数口径见 ①），
|
||||||
// 「归属仓」，实物会整批搬到同体系其它发货仓 —— 只查归属仓会把有货的算成 0。
|
|
||||||
// 实测新仓「简尚-横林二仓品牌仓」(16132681，10-13 建仓) 58 个 MKH 成品 / 525 件
|
|
||||||
// 全在它名下、归属仓为 0 → 5 个误报缺货 + 2 个误报预警。白名单见 BRAND_WMS_CO_IDS。
|
|
||||||
// 缺失时回退监控快照 jsStock
|
// 缺失时回退监控快照 jsStock
|
||||||
// · 结余库存 = max(0, 现有库存 − 待发货订单)
|
// · 结余库存 = max(0, 现有库存 − 待发货订单)
|
||||||
// ⚠️ 2026-09-18 起：已下单未发货的部分已被占用，**所有口径一律先扣待发订单**
|
// ⚠️ 2026-09-18 起：已下单未发货的部分已被占用，**所有口径一律先扣待发订单**
|
||||||
@ -218,28 +212,6 @@
|
|||||||
// 若日后业务反馈「库存大面积停在某个时间点」，**先查 inventoryInfo 的
|
// 若日后业务反馈「库存大面积停在某个时间点」，**先查 inventoryInfo 的
|
||||||
// MAX(updateTime)**，再看箱表的，两者一对即可判断是上游停了还是本页取数问题。
|
// MAX(updateTime)**，再看箱表的，两者一对即可判断是上游停了还是本页取数问题。
|
||||||
//
|
//
|
||||||
// ── ⑦-e 成品库存多仓合并（2026-10-17 新增）────────────────────────
|
|
||||||
// 业务原话：「MKHDNZ0409260600788 库存在横林二仓品牌仓，**重新加了一个品牌仓库存**，
|
|
||||||
// 需要同步这个仓库库存」。
|
|
||||||
// 🔥 根因：**商品档案的 `other_3` 记录的是「归属仓」，不是「实物所在仓」**。
|
|
||||||
// 归属仓仍是「简尚-崔桥工厂品牌仓」(15870495)，但实物被整批搬到 10-13 新建的
|
|
||||||
// 「简尚-横林二仓品牌仓」(16132681) —— 归属仓库存为 0，新仓有货。
|
|
||||||
// 而 ⑦-d 的取数只看 `wms_co_id = 15870495` 单仓 → 该批商品库存全被算成 0。
|
|
||||||
// 实测：新仓 58 个 SKU 全是 MKH 成品（other_3 全为崔桥品牌仓），合计 525 件；
|
|
||||||
// 线上 49 个 SKU 库存值错误，其中 **5 个误报「缺货」、2 个误报「预警」**。
|
|
||||||
// 规则：`jst_inventoryInfo` / `jst_packInventoryInfo` 都按 **仓白名单 `IN (...)`**
|
|
||||||
// 取数，并 **按 SKU 多仓求和**（同一批货可能同时分散在多仓）。
|
|
||||||
// · 白名单常量：BRAND_WMS_CO_IDS（主仓 + 横林二仓品牌仓）
|
|
||||||
// · ⚠️ 原来的「按 updateTime DESC 取首条」在单仓时是去重，多仓时会**只留一个仓**，
|
|
||||||
// 必须换成 SUM + GROUP BY（本次改动同时修掉这个隐患）。
|
|
||||||
// · ⚠️ 「求和」而非「取最大」：两仓是独立仓位，同一 SKU 同批货不会重复记账
|
|
||||||
// （实测该 SKU 两仓 bin 分别为 `PP01-15-22` 与空，无同箱重复）。
|
|
||||||
// 影响面（2026-10-17 实测）：58 个 SKU 受影响，其中 49 个库存值变化；
|
|
||||||
// 预警 30 → 25、缺货 21 → 16（消除 5 个误报缺货、2 个误报预警）。
|
|
||||||
// ⚠️ 新增同类「成品发货仓-真实库存」时，往 BRAND_WMS_CO_IDS 追加 wms_co_id 即可。
|
|
||||||
// ⚠️ 配件库存**不适用本口径**（配件仍只算 15718196）——新仓一个配件都没有，
|
|
||||||
// 横林三仓/沭阳仓虽有 MKH 配件但归属别的项目，并入会让「配件不足」漏报。
|
|
||||||
//
|
|
||||||
// ── ⑧ 在途加工单（2026-09-17 业务确认口径）────────────────────────
|
// ── ⑧ 在途加工单（2026-09-17 业务确认口径）────────────────────────
|
||||||
// 规则：**只要该 MKH 商品存在未完成的加工单，就不再列入补货预警**
|
// 规则：**只要该 MKH 商品存在未完成的加工单，就不再列入补货预警**
|
||||||
// （工厂已经在做了，不重复提示补货），改标为「已排产」。
|
// （工厂已经在做了，不重复提示补货），改标为「已排产」。
|
||||||
@ -331,22 +303,13 @@
|
|||||||
// ⚠️ **必须扣未完成加工单的占用**（业务明确要求）：加工单在途的成品已经把配件
|
// ⚠️ **必须扣未完成加工单的占用**（业务明确要求）：加工单在途的成品已经把配件
|
||||||
// 预定/领走了，不扣就会高估可组装能力。加工单占用按配件维度归集：
|
// 预定/领走了，不扣就会高估可组装能力。加工单占用按配件维度归集：
|
||||||
// 占用[配件] = Σ over 未完成加工单 (该成品在途台数 × 该成品对该配件的单台用量)
|
// 占用[配件] = Σ over 未完成加工单 (该成品在途台数 × 该成品对该配件的单台用量)
|
||||||
// · 配件现有库存 **两级来源**（2026-09-30 修正，与配件监控页 `buildRealtimeStockSql` 同口径）：
|
// · 配件现有库存 rpt.jst_inventoryInfo，仓 = 简尚-崔桥工厂半成品包装项目仓
|
||||||
// ① rpt.jst_inventoryInfo，仓 = 简尚-崔桥工厂半成品包装项目仓（wms_co_id = 15718196）
|
// （wms_co_id = 15718196）—— MKH BOM 的 784 个配件归这个仓，产出成品入品牌仓。
|
||||||
// —— MKH BOM 的 784 个配件归这个仓，产出成品入品牌仓。
|
// 实测：该仓 822 行 / 741 行有正库存；本页涉及的配件**全部只在该仓有值**，
|
||||||
// 实测：该仓 822 行 / 741 行有正库存；本页涉及的配件**全部只在该仓有值**，
|
// 跨仓正库存为 0，所以不跨仓汇总。
|
||||||
// 跨仓正库存为 0，所以不跨仓汇总。
|
|
||||||
// ② 同仓 rpt.jst_packInventoryInfo 的 **bin 非空** 行合计 —— **仅当 ① 为 0 / 缺行时启用**。
|
|
||||||
// 🔥 **推翻旧结论**（旧版此处写「不能用 jst_packInventoryInfo 当配件库存 ——
|
|
||||||
// 与 MKH 配件零交集」，那是 09-17 的表状态，09-18 上游重建后已失效，见 ⑤）。
|
|
||||||
// 漏掉这一级会让「库存表滞后停在 0、箱表已有货」的配件被误判不足 ——
|
|
||||||
// 2026-09-30 案例 MKHDNZ0409260600849 的配件 DNZ040947N1440V01：
|
|
||||||
// inventoryInfo 停在 09-28 值 0，箱表当日 10:30 已记 bin=ZT-30 qty=200；
|
|
||||||
// 配件监控页显示 200（判「正常」），MKH-BOM 却因 0 判「配件不足」。
|
|
||||||
// 当日 30 行配件不足预警里 **7 行**属此类误判（可组装数 0 → 30~46）。
|
|
||||||
// ⚠️ 必须过滤 `bin` 为空的行 —— 那是装箱记录不是库存（见 ⑤）；
|
|
||||||
// 且**只补 0、不覆盖正库存**（箱表可能只记部分装箱量，覆盖会压低有效库存）。
|
|
||||||
// · 单台用量 rm_qty（jst_skuBomItem）实测取值为 1 / 2 / 4，必须参与计算，不能当 1。
|
// · 单台用量 rm_qty（jst_skuBomItem）实测取值为 1 / 2 / 4，必须参与计算，不能当 1。
|
||||||
|
// ⚠️ 不能用 `jst_packInventoryInfo` 当配件库存 —— 它是「箱及仓位库存」，
|
||||||
|
// 与 MKH 配件零交集（见 ⑤），仓位口径专用。
|
||||||
// · 采购在途（purchase_qty）**不计入**可用量（业务确认：只认现有库存）。
|
// · 采购在途（purchase_qty）**不计入**可用量（业务确认：只认现有库存）。
|
||||||
// 锁定列（order_lock / pick_lock / lock_qty / virtual_qty）实测几乎全为 0
|
// 锁定列（order_lock / pick_lock / lock_qty / virtual_qty）实测几乎全为 0
|
||||||
// （本页 80 个配件里仅 2 条非零且值为 1），故直接用 qty。
|
// （本页 80 个配件里仅 2 条非零且值为 1），故直接用 qty。
|
||||||
@ -435,17 +398,8 @@ const MKH_WHERE = `s.sku_id LIKE N'MKH%'
|
|||||||
)`;
|
)`;
|
||||||
|
|
||||||
// ── 补货预警参数（见文件头 ⑦）────────────────────────────────────
|
// ── 补货预警参数（见文件头 ⑦）────────────────────────────────────
|
||||||
// 成品库存仓白名单（rpt.jst_warehouseInfo 查得）。**多仓求和**：
|
// 品牌仓 wms_co_id（rpt.jst_warehouseInfo 查得）
|
||||||
// 商品档案的 other_3 只记录「归属仓」（仍是崔桥工厂品牌仓），但实物会成批搬到
|
const BRAND_WMS_CO_ID = 15870495;
|
||||||
// 同体系的其它发货仓，此时库存表里只有新仓有数、归属仓为 0 —— 只查归属仓会把
|
|
||||||
// 有货的商品算成 0（实测 2026-10-17：新仓「简尚-横林二仓品牌仓」10-13 建仓，
|
|
||||||
// 58 个 MKH 成品 / 525 件全部只在它名下，导致 5 个误报缺货 + 2 个误报预警）。
|
|
||||||
// · 15870495 简尚-崔桥工厂品牌仓（归属主仓）
|
|
||||||
// · 16132681 简尚-横林二仓品牌仓（2026-10-13 新增，成品发货仓-真实库存）
|
|
||||||
// ⚠️ 新增同类「成品发货仓-真实库存」时把 wms_co_id 追加进来即可，别再写死单仓。
|
|
||||||
const BRAND_WMS_CO_IDS = Object.freeze([15870495, 16132681]);
|
|
||||||
// 兼容旧引用：主仓仍作为「仓库名」文案与监控快照的 warehouse 过滤值
|
|
||||||
const BRAND_WMS_CO_ID = BRAND_WMS_CO_IDS[0];
|
|
||||||
// 日销统计窗口（天）。见文件头 ⑦：业务最初要 30 天，但全库无 30 天日销数据，
|
// 日销统计窗口（天）。见文件头 ⑦：业务最初要 30 天，但全库无 30 天日销数据，
|
||||||
// 实测最长只有 fifteenAvgSale(15 天)，经业务确认改用 15 天。
|
// 实测最长只有 fifteenAvgSale(15 天)，经业务确认改用 15 天。
|
||||||
// ⚠️ SALE_WINDOW_DAYS 决定页面文案与口径展示，DAILY_SALE_COLUMN 决定实际取数列，
|
// ⚠️ SALE_WINDOW_DAYS 决定页面文案与口径展示，DAILY_SALE_COLUMN 决定实际取数列，
|
||||||
@ -571,10 +525,8 @@ const normalizeCode = (value) => {
|
|||||||
// 筛选 / 排序 / 分页 / 统计全部在内存完成，SQL 侧只负责取数。
|
// 筛选 / 排序 / 分页 / 统计全部在内存完成，SQL 侧只负责取数。
|
||||||
const REPLENISH_PARAMS = Object.freeze({
|
const REPLENISH_PARAMS = Object.freeze({
|
||||||
brandWarehouse: DESIGNATED_WAREHOUSE,
|
brandWarehouse: DESIGNATED_WAREHOUSE,
|
||||||
|
brandWmsCoId: BRAND_WMS_CO_ID,
|
||||||
});
|
});
|
||||||
// 成品库存仓白名单的 SQL 片段（纯代码常量插值，不含外部输入）。
|
|
||||||
// 用 `IN (...)` 一条查完多仓，再由应用层按 SKU **求和**分仓结果。
|
|
||||||
const BRAND_WMS_CO_ID_LIST_SQL = BRAND_WMS_CO_IDS.join(',');
|
|
||||||
// 商品集合是主数据、监控快照为日更，10 分钟缓存足够
|
// 商品集合是主数据、监控快照为日更，10 分钟缓存足够
|
||||||
const MKH_CACHE_TTL_MS = 10 * 60 * 1000;
|
const MKH_CACHE_TTL_MS = 10 * 60 * 1000;
|
||||||
let mkhProductCache = null;
|
let mkhProductCache = null;
|
||||||
@ -1793,23 +1745,21 @@ async function loadReplenishIndex() {
|
|||||||
REPLENISH_PARAMS,
|
REPLENISH_PARAMS,
|
||||||
{ requestTimeout: 180000 }
|
{ requestTimeout: 180000 }
|
||||||
),
|
),
|
||||||
// 实时库存（见文件头 ⑦-d）：仓白名单多仓，**按 SKU 求和**（同一批货可能分散在多仓）。
|
// 实时库存：同一 SKU 可能多行，按 updateTime DESC 取首条
|
||||||
// ⚠️ 不能再用「按 updateTime DESC 取首条」——那会只留一个仓的数，正好丢掉新仓。
|
|
||||||
cloudDatabase.query(
|
cloudDatabase.query(
|
||||||
`SELECT i.sku_id AS skuId, SUM(i.qty) AS qty
|
`SELECT i.sku_id AS skuId, i.qty AS qty
|
||||||
FROM dbo.jst_inventoryInfo i
|
FROM dbo.jst_inventoryInfo i
|
||||||
WHERE i.wms_co_id IN (${BRAND_WMS_CO_ID_LIST_SQL}) AND i.sku_id LIKE N'MKH%'
|
WHERE i.wms_co_id = @brandWmsCoId AND i.sku_id LIKE N'MKH%'
|
||||||
GROUP BY i.sku_id`,
|
ORDER BY i.sku_id ASC, i.updateTime DESC`,
|
||||||
REPLENISH_PARAMS,
|
REPLENISH_PARAMS,
|
||||||
{ requestTimeout: 180000 }
|
{ requestTimeout: 180000 }
|
||||||
),
|
),
|
||||||
// 箱/货位库存（见文件头 ⑦-d）：inventoryInfo 是日更，当日入库当天看不到，
|
// 箱/货位库存（见文件头 ⑦-d）：inventoryInfo 是日更，当日入库当天看不到，
|
||||||
// 用小时级的箱表补 0。只取 bin 非空行 —— bin 为空的是装箱记录，不是库存。
|
// 用小时级的箱表补 0。只取 bin 非空行 —— bin 为空的是装箱记录，不是库存。
|
||||||
// 同样按仓白名单多仓求和（见 BRAND_WMS_CO_IDS 注释）。
|
|
||||||
cloudDatabase.query(
|
cloudDatabase.query(
|
||||||
`SELECT p.sku_id AS skuId, SUM(p.qty) AS qty
|
`SELECT p.sku_id AS skuId, SUM(p.qty) AS qty
|
||||||
FROM dbo.jst_packInventoryInfo p
|
FROM dbo.jst_packInventoryInfo p
|
||||||
WHERE p.wms_co_id IN (${BRAND_WMS_CO_ID_LIST_SQL}) AND p.sku_id LIKE N'MKH%'
|
WHERE p.wms_co_id = @brandWmsCoId AND p.sku_id LIKE N'MKH%'
|
||||||
AND NULLIF(LTRIM(RTRIM(p.bin)), N'') IS NOT NULL
|
AND NULLIF(LTRIM(RTRIM(p.bin)), N'') IS NOT NULL
|
||||||
GROUP BY p.sku_id`,
|
GROUP BY p.sku_id`,
|
||||||
REPLENISH_PARAMS,
|
REPLENISH_PARAMS,
|
||||||
@ -1895,10 +1845,6 @@ async function loadReplenishIndex() {
|
|||||||
/**
|
/**
|
||||||
* 配件现有库存批量查询（见文件头 ⑪）—— 只查配件归属仓「简尚-崔桥工厂半成品包装项目仓」。
|
* 配件现有库存批量查询（见文件头 ⑪）—— 只查配件归属仓「简尚-崔桥工厂半成品包装项目仓」。
|
||||||
* · 按基础配件编码精确匹配，SUM(qty) 汇总
|
* · 按基础配件编码精确匹配，SUM(qty) 汇总
|
||||||
* · **两级来源**（与配件监控页 buildRealtimeStockSql 同口径）：
|
|
||||||
* ① jst_inventoryInfo 有正库存 → 以它为准
|
|
||||||
* ② 为 0 / 缺行 → 用同仓 jst_packInventoryInfo 的 **bin 非空** 行合计兜底
|
|
||||||
* （2026-09-30 修正：旧版只查 ①，导致「库存表滞后为 0、箱表已有货」的配件被误判不足）
|
|
||||||
* · 结果按编码缓存（TTL 10 分钟），**查不到也缓存 0**（该仓无记录 = 无库存）
|
* · 结果按编码缓存（TTL 10 分钟），**查不到也缓存 0**（该仓无记录 = 无库存）
|
||||||
* · 任一分片查询失败 → 立即返回 degraded=true，调用方**放弃判定**（宁可少标不误标），
|
* · 任一分片查询失败 → 立即返回 degraded=true，调用方**放弃判定**（宁可少标不误标），
|
||||||
* 且失败的分片不写缓存，下次调用重试
|
* 且失败的分片不写缓存，下次调用重试
|
||||||
@ -1926,42 +1872,25 @@ async function loadComponentStock(codes = []) {
|
|||||||
params[`cs${index}`] = code;
|
params[`cs${index}`] = code;
|
||||||
return `@cs${index}`;
|
return `@cs${index}`;
|
||||||
});
|
});
|
||||||
const codeFilter = `IN (${placeholders.join(', ')})`;
|
|
||||||
// 一条语句同时取两张表（UNION ALL + src 标记），避免多一次往返、也保证两个来源同一时点。
|
|
||||||
// 库存表不筛 bin；箱表**必须**筛 bin 非空 —— bin 为空的是装箱记录，不是库存（见文件头 ⑤）。
|
|
||||||
// eslint-disable-next-line no-await-in-loop -- 有意分片串行，避免一次打满连接池
|
// eslint-disable-next-line no-await-in-loop -- 有意分片串行，避免一次打满连接池
|
||||||
const rows = await cloudDatabase.query(
|
const rows = await cloudDatabase.query(
|
||||||
`SELECT N'inv' AS src, i.sku_id AS code, SUM(i.qty) AS qty
|
`SELECT i.sku_id AS code, SUM(i.qty) AS qty
|
||||||
FROM dbo.jst_inventoryInfo i WITH (NOLOCK)
|
FROM dbo.jst_inventoryInfo i WITH (NOLOCK)
|
||||||
WHERE i.wms_co_id = @componentStockWmsCoId AND i.sku_id ${codeFilter}
|
WHERE i.wms_co_id = @componentStockWmsCoId
|
||||||
GROUP BY i.sku_id
|
AND i.sku_id IN (${placeholders.join(', ')})
|
||||||
UNION ALL
|
GROUP BY i.sku_id`,
|
||||||
SELECT N'pack' AS src, p.sku_id AS code, SUM(p.qty) AS qty
|
|
||||||
FROM dbo.jst_packInventoryInfo p WITH (NOLOCK)
|
|
||||||
WHERE p.wms_co_id = @componentStockWmsCoId AND p.sku_id ${codeFilter}
|
|
||||||
AND NULLIF(LTRIM(RTRIM(p.bin)), N'') IS NOT NULL
|
|
||||||
GROUP BY p.sku_id`,
|
|
||||||
params,
|
params,
|
||||||
{ requestTimeout: 120000 }
|
{ requestTimeout: 120000 }
|
||||||
);
|
);
|
||||||
const inventoryQty = new Map();
|
const found = new Map();
|
||||||
const packQty = new Map();
|
|
||||||
rows.forEach((row) => {
|
rows.forEach((row) => {
|
||||||
const code = toText(row.code);
|
const code = toText(row.code);
|
||||||
if (!code) return;
|
if (code) found.set(code, toNumber(row.qty) ?? 0);
|
||||||
const qty = toNumber(row.qty) ?? 0;
|
|
||||||
if (toText(row.src) === 'pack') packQty.set(code, qty);
|
|
||||||
else inventoryQty.set(code, qty);
|
|
||||||
});
|
});
|
||||||
const expiresAt = Date.now() + COMPONENT_STOCK_CACHE_TTL_MS;
|
const expiresAt = Date.now() + COMPONENT_STOCK_CACHE_TTL_MS;
|
||||||
const writable = epoch === cacheEpoch;
|
const writable = epoch === cacheEpoch;
|
||||||
chunk.forEach((code) => {
|
chunk.forEach((code) => {
|
||||||
// 只补 0、不覆盖正库存：库存表有正数就认它，否则看箱表（箱表可能只记部分装箱量）
|
const qty = found.get(code) ?? 0;
|
||||||
let qty = inventoryQty.get(code) ?? 0;
|
|
||||||
if (qty <= 0) {
|
|
||||||
const packStock = packQty.get(code) ?? 0;
|
|
||||||
if (packStock > 0) qty = packStock;
|
|
||||||
}
|
|
||||||
// 本批结果仍要返回给调用方（stockMap），只是不再写缓存
|
// 本批结果仍要返回给调用方（stockMap），只是不再写缓存
|
||||||
if (writable) componentStockCache.set(code, { qty, expiresAt });
|
if (writable) componentStockCache.set(code, { qty, expiresAt });
|
||||||
stockMap.set(code, qty);
|
stockMap.set(code, qty);
|
||||||
@ -2720,9 +2649,6 @@ module.exports = {
|
|||||||
COMPONENT_STOCK_WAREHOUSE,
|
COMPONENT_STOCK_WAREHOUSE,
|
||||||
COMPONENT_STOCK_CHUNK_SIZE,
|
COMPONENT_STOCK_CHUNK_SIZE,
|
||||||
COMPONENT_SHORTAGE_MAX_LIST,
|
COMPONENT_SHORTAGE_MAX_LIST,
|
||||||
// ⑦-d 成品库存仓白名单（多仓求和口径）
|
|
||||||
BRAND_WMS_CO_IDS,
|
|
||||||
BRAND_WMS_CO_ID,
|
|
||||||
parseFlag,
|
parseFlag,
|
||||||
resolveScope,
|
resolveScope,
|
||||||
filterRows,
|
filterRows,
|
||||||
|
|||||||
@ -1,243 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 拣选库位动销分析 —— 业务库取数
|
|
||||||
*
|
|
||||||
* 库存：rpt.jst_packInventoryInfo 按 wms_co_id + 仓位 + sku_id 汇总 qty（仓位为空的行不参与）
|
|
||||||
* 范围：只统计真实拣选仓位（pack_type=Bin 且 bin_group 为空）；
|
|
||||||
* 箱记录（pack_type=Pack）与存货位（bin_group=存货）不纳入
|
|
||||||
* 销量（4 个来源分支，均按 send_date 窗口）：
|
|
||||||
* 1) rpt.jst_Orders × jst_OrderItem 普通行（sku_type<>combine），排除 Delete/Cancelled
|
|
||||||
* 2) rpt.jst_Orders 组合装行（sku_id 为 ZH-... 拼接串）→ JOIN jst_comboProductItem 展开为子件×数量
|
|
||||||
* 3) rpt.jst_qmcust_orderlist（全民客户 B2B 分销）普通行，排除 Delete/Cancelled/Split/Question
|
|
||||||
* （Split 是拆单父单，与拆出的子单重复，必须排除）
|
|
||||||
* 4) rpt.jst_qmcust_orderlist 组合装行 → 同样按映射表展开
|
|
||||||
* 粒度：仓位 × 商品编码（一个仓位有 N 个商品就输出 N 行），列表与导出共用
|
|
||||||
*
|
|
||||||
* 【日销与动销等级口径】按「商品日销」判定，不做仓位分摊：
|
|
||||||
* 商品日销 = 该商品在窗口内的整档销量 ÷ 窗口天数
|
|
||||||
* 同一件商品无论占用几个仓位，各行显示的销量 / 日销 / 动销等级完全一致 ——
|
|
||||||
* 不会因为货放得散就被算成滞销。
|
|
||||||
*
|
|
||||||
* 附带输出「分摊销量」= 商品销量 ÷ 该商品占用的同类型仓位数，用于需要按行求和的场景：
|
|
||||||
* 恒等式（已实测校验，差异 0）：全部行分摊销量之和 = 有库位记录的那些 SKU 的销量之和。
|
|
||||||
* 注意它小于「全仓销量」：jst_packInventoryInfo 只覆盖部分 SKU 的仓位数据，
|
|
||||||
* 没有仓位记录的 SKU 的销量不会体现在任何库位上。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const { PICKING_BIN_GRADE_RULES, BIN_TYPE_PICKING } = require('../config/pickingBinSalesAnalysis');
|
|
||||||
|
|
||||||
/** mssql 不支持数组参数，按位展开成 @p0,@p1... */
|
|
||||||
function buildInClause(values, prefix) {
|
|
||||||
const params = {};
|
|
||||||
const clause = values
|
|
||||||
.map((v, i) => {
|
|
||||||
const key = `${prefix}${i}`;
|
|
||||||
params[key] = v;
|
|
||||||
return `@${key}`;
|
|
||||||
})
|
|
||||||
.join(',');
|
|
||||||
return { clause, params };
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 日销分档表达式：从高档往低档依次命中，最后一档「销售=0」由 salesQty <= 0 兜底。
|
|
||||||
* 传入的 salesExpr 是窗口销量（商品整档销量），除以天数得到日销。
|
|
||||||
*/
|
|
||||||
function buildGradeCase(salesExpr = 'ISNULL(s.salesQty, 0)', daysParam = '@days') {
|
|
||||||
const branches = PICKING_BIN_GRADE_RULES
|
|
||||||
.filter((rule) => rule.lower > 0)
|
|
||||||
.map((rule) => {
|
|
||||||
const daily = `(${salesExpr} / ${daysParam})`;
|
|
||||||
const lower = `${daily} >= ${rule.lower}`;
|
|
||||||
const upper = rule.upper == null ? null : `${daily} < ${rule.upper}`;
|
|
||||||
const cond = upper ? `${lower} AND ${upper}` : lower;
|
|
||||||
return `WHEN ${cond} THEN '${rule.key}'`;
|
|
||||||
});
|
|
||||||
|
|
||||||
return `
|
|
||||||
CASE
|
|
||||||
${branches.join('\n ')}
|
|
||||||
WHEN ${salesExpr} > 0 THEN 'slow2'
|
|
||||||
ELSE 'zero'
|
|
||||||
END`;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 拉取「仓位 × 商品编码」粒度明细（列表与导出共用）。
|
|
||||||
*
|
|
||||||
* - stockQty：该商品在此仓位的实际库存
|
|
||||||
* - salesQty：该商品在此仓库的窗口销量（整档，不按仓位分摊），动销等级的判定依据
|
|
||||||
* - dailySales：salesQty / 窗口天数 = 商品日销
|
|
||||||
* - allocatedSalesQty：salesQty ÷ 该商品占用的同类型仓位数，用于需要按行求和的场景
|
|
||||||
* - skuCount：该仓位内存放的商品数（仓位粒度，同一仓位多行重复）
|
|
||||||
*
|
|
||||||
* @param {object} cloudDb 业务库实例
|
|
||||||
* @param {string[]} wmsCoIds 仓库编码
|
|
||||||
* @param {{shipFrom:string, shipTo:string, days:number}} options
|
|
||||||
* @returns {Promise<Array<{wmsCoId:string, binName:string, binType:string, skuId:string,
|
|
||||||
* stockQty:number, skuCount:number, salesQty:number, allocatedSalesQty:number,
|
|
||||||
* dailySales:number, gradeKey:string}>>}
|
|
||||||
*/
|
|
||||||
async function fetchPickingBinSkuRows(cloudDb, wmsCoIds, options = {}) {
|
|
||||||
if (!cloudDb || typeof cloudDb.query !== 'function') {
|
|
||||||
throw new TypeError('fetchPickingBinSkuRows 的第一个参数必须是业务库实例');
|
|
||||||
}
|
|
||||||
const { shipFrom, shipTo, days } = options;
|
|
||||||
if (!Array.isArray(wmsCoIds) || wmsCoIds.length === 0) return [];
|
|
||||||
if (!shipFrom || !shipTo || !days) return [];
|
|
||||||
|
|
||||||
const binIn = buildInClause(wmsCoIds, 'w');
|
|
||||||
const shipIn = buildInClause(wmsCoIds, 'v');
|
|
||||||
|
|
||||||
// 统计范围固定为真实拣选仓位：pack_type=Bin 且 bin_group 为空。
|
|
||||||
// 仅过滤 bin_group 会把同样为空的 Pack 箱记录误标为拣选位。
|
|
||||||
const sqlText = `
|
|
||||||
WITH bin AS (
|
|
||||||
SELECT p.wms_co_id AS wmsCoId,
|
|
||||||
LTRIM(RTRIM(p.bin)) AS binName,
|
|
||||||
N'${BIN_TYPE_PICKING}' AS binType,
|
|
||||||
p.sku_id AS skuId,
|
|
||||||
SUM(CAST(ISNULL(p.qty, 0) AS DECIMAL(18, 2))) AS binSkuQty
|
|
||||||
FROM rpt.jst_packInventoryInfo p
|
|
||||||
WHERE p.wms_co_id IN (${binIn.clause})
|
|
||||||
AND ISNULL(p.bin, '') <> ''
|
|
||||||
AND ISNULL(p.qty, 0) <> 0
|
|
||||||
AND p.pack_type = N'Bin'
|
|
||||||
AND ISNULL(p.bin_group, '') = ''
|
|
||||||
GROUP BY p.wms_co_id,
|
|
||||||
LTRIM(RTRIM(p.bin)),
|
|
||||||
p.sku_id
|
|
||||||
),
|
|
||||||
binSpan AS (
|
|
||||||
SELECT wmsCoId, skuId, binType, COUNT(DISTINCT binName) AS binCount
|
|
||||||
FROM bin
|
|
||||||
GROUP BY wmsCoId, skuId, binType
|
|
||||||
),
|
|
||||||
ship AS (
|
|
||||||
-- 1) 线上店铺订单：普通商品行（sku_type<>combine，组合装行在下一分支展开）
|
|
||||||
SELECT o.wms_co_id AS wmsCoId,
|
|
||||||
oi.sku_id AS skuId,
|
|
||||||
SUM(CAST(ISNULL(oi.qty, 0) AS DECIMAL(18, 2))) AS salesQty
|
|
||||||
FROM rpt.jst_OrderItem oi
|
|
||||||
JOIN rpt.jst_Orders o ON o.o_id = oi.o_id
|
|
||||||
WHERE o.wms_co_id IN (${shipIn.clause})
|
|
||||||
AND o.send_date >= @shipFrom
|
|
||||||
AND o.send_date < @shipTo
|
|
||||||
AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled')
|
|
||||||
AND ISNULL(oi.sku_type, 'normal') <> 'combine'
|
|
||||||
GROUP BY o.wms_co_id, oi.sku_id
|
|
||||||
UNION ALL
|
|
||||||
-- 2) 线上店铺订单：组合装行（sku_id 为 ZH-子件A-N-子件B-M 拼接串）→ 按映射表展开为子件
|
|
||||||
SELECT o.wms_co_id AS wmsCoId,
|
|
||||||
ci.src_sku_id AS skuId,
|
|
||||||
SUM(CAST(ISNULL(oi.qty, 0) * ISNULL(ci.qty, 0) AS DECIMAL(18, 2))) AS salesQty
|
|
||||||
FROM rpt.jst_OrderItem oi
|
|
||||||
JOIN rpt.jst_Orders o ON o.o_id = oi.o_id
|
|
||||||
JOIN rpt.jst_comboProductItem ci ON ci.combine_sku_id = oi.sku_id
|
|
||||||
WHERE o.wms_co_id IN (${shipIn.clause})
|
|
||||||
AND o.send_date >= @shipFrom
|
|
||||||
AND o.send_date < @shipTo
|
|
||||||
AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled')
|
|
||||||
AND oi.sku_type = 'combine'
|
|
||||||
GROUP BY o.wms_co_id, ci.src_sku_id
|
|
||||||
UNION ALL
|
|
||||||
-- 3) 全民客户（B2B 分销）订单：普通商品行（拆单父单 Split 与子单重复，需排除）
|
|
||||||
SELECT o.wms_co_id AS wmsCoId,
|
|
||||||
oi.sku_id AS skuId,
|
|
||||||
SUM(CAST(ISNULL(oi.qty, 0) AS DECIMAL(18, 2))) AS salesQty
|
|
||||||
FROM rpt.jst_qmcust_orderlist_item oi
|
|
||||||
JOIN rpt.jst_qmcust_orderlist o ON o.o_id = oi.o_id
|
|
||||||
WHERE o.wms_co_id IN (${shipIn.clause})
|
|
||||||
AND o.send_date >= @shipFrom
|
|
||||||
AND o.send_date < @shipTo
|
|
||||||
AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled', 'Split', 'Question')
|
|
||||||
AND ISNULL(oi.sku_type, 'normal') <> 'combine'
|
|
||||||
GROUP BY o.wms_co_id, oi.sku_id
|
|
||||||
UNION ALL
|
|
||||||
-- 4) 全民客户订单：组合装行展开为子件
|
|
||||||
SELECT o.wms_co_id AS wmsCoId,
|
|
||||||
ci.src_sku_id AS skuId,
|
|
||||||
SUM(CAST(ISNULL(oi.qty, 0) * ISNULL(ci.qty, 0) AS DECIMAL(18, 2))) AS salesQty
|
|
||||||
FROM rpt.jst_qmcust_orderlist_item oi
|
|
||||||
JOIN rpt.jst_qmcust_orderlist o ON o.o_id = oi.o_id
|
|
||||||
JOIN rpt.jst_comboProductItem ci ON ci.combine_sku_id = oi.sku_id
|
|
||||||
WHERE o.wms_co_id IN (${shipIn.clause})
|
|
||||||
AND o.send_date >= @shipFrom
|
|
||||||
AND o.send_date < @shipTo
|
|
||||||
AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled', 'Split', 'Question')
|
|
||||||
AND oi.sku_type = 'combine'
|
|
||||||
GROUP BY o.wms_co_id, ci.src_sku_id
|
|
||||||
),
|
|
||||||
shipAgg AS (
|
|
||||||
-- 同一个 仓库+商品 可能同时命中多个来源分支（线上普通/线上组合装/全民客户普通/全民客户组合装），
|
|
||||||
-- 必须先按 仓库+商品 汇总成一行再 join，否则一个仓位行会被拆成多行、每行只带某分支的销量。
|
|
||||||
SELECT wmsCoId,
|
|
||||||
skuId,
|
|
||||||
SUM(CAST(salesQty AS DECIMAL(18, 2))) AS salesQty
|
|
||||||
FROM ship
|
|
||||||
GROUP BY wmsCoId, skuId
|
|
||||||
),
|
|
||||||
binAgg AS (
|
|
||||||
SELECT wmsCoId,
|
|
||||||
binName,
|
|
||||||
binType,
|
|
||||||
COUNT(DISTINCT skuId) AS skuCount
|
|
||||||
FROM bin
|
|
||||||
GROUP BY wmsCoId, binName, binType
|
|
||||||
)
|
|
||||||
SELECT b.wmsCoId,
|
|
||||||
b.binName,
|
|
||||||
b.binType,
|
|
||||||
b.skuId,
|
|
||||||
CAST(SUM(CAST(b.binSkuQty AS DECIMAL(18, 2))) AS DECIMAL(18, 2)) AS stockQty,
|
|
||||||
CAST(a.skuCount AS INT) AS skuCount,
|
|
||||||
CAST(ISNULL(s.salesQty, 0) AS DECIMAL(18, 2)) AS salesQty,
|
|
||||||
CAST(ISNULL(s.salesQty, 0) / NULLIF(sp.binCount, 0) AS DECIMAL(18, 4)) AS allocatedSalesQty,
|
|
||||||
CAST(ISNULL(s.salesQty, 0) / @days AS DECIMAL(18, 4)) AS dailySales,
|
|
||||||
${buildGradeCase('ISNULL(s.salesQty, 0)')} AS gradeKey
|
|
||||||
FROM bin b
|
|
||||||
JOIN binSpan sp
|
|
||||||
ON sp.wmsCoId = b.wmsCoId AND sp.skuId = b.skuId AND sp.binType = b.binType
|
|
||||||
JOIN binAgg a
|
|
||||||
ON a.wmsCoId = b.wmsCoId AND a.binName = b.binName AND a.binType = b.binType
|
|
||||||
LEFT JOIN shipAgg s
|
|
||||||
ON s.wmsCoId = b.wmsCoId AND s.skuId = b.skuId
|
|
||||||
GROUP BY b.wmsCoId, b.binName, b.binType, b.skuId, a.skuCount, s.salesQty, sp.binCount
|
|
||||||
HAVING ABS(SUM(CAST(b.binSkuQty AS DECIMAL(18, 2)))) > 0.0001
|
|
||||||
ORDER BY b.wmsCoId, b.binType, b.binName, b.skuId`;
|
|
||||||
|
|
||||||
// 该查询 union 了 4 个销量来源（含 qmcust 全渠道扫描），全仓窗口可能超过默认 60s；
|
|
||||||
// mssql 12.x 请求级 timeout 不生效，必须走池级放宽的慢查询入口。
|
|
||||||
const runQuery = typeof cloudDb.querySlow === 'function' ? cloudDb.querySlow : cloudDb.query;
|
|
||||||
const rows = await runQuery(
|
|
||||||
sqlText,
|
|
||||||
{
|
|
||||||
...binIn.params,
|
|
||||||
...shipIn.params,
|
|
||||||
shipFrom,
|
|
||||||
shipTo,
|
|
||||||
days,
|
|
||||||
},
|
|
||||||
{ requestTimeout: 120000 }
|
|
||||||
);
|
|
||||||
|
|
||||||
return rows.map((r) => ({
|
|
||||||
wmsCoId: String(r.wmsCoId),
|
|
||||||
binName: r.binName || '',
|
|
||||||
binType: r.binType || '',
|
|
||||||
skuId: r.skuId == null ? '' : String(r.skuId).trim(),
|
|
||||||
stockQty: Number(r.stockQty) || 0,
|
|
||||||
skuCount: Number(r.skuCount) || 0,
|
|
||||||
salesQty: Number(r.salesQty) || 0,
|
|
||||||
allocatedSalesQty: Number(r.allocatedSalesQty) || 0,
|
|
||||||
dailySales: Number(r.dailySales) || 0,
|
|
||||||
gradeKey: r.gradeKey || 'zero',
|
|
||||||
}));
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
buildGradeCase,
|
|
||||||
buildInClause,
|
|
||||||
fetchPickingBinSkuRows,
|
|
||||||
};
|
|
||||||
@ -14,20 +14,13 @@
|
|||||||
* · returnBinName = 用户口径的聚水潭仓位名，写进页面/导出的「数据来源」，便于核对；
|
* · returnBinName = 用户口径的聚水潭仓位名，写进页面/导出的「数据来源」，便于核对；
|
||||||
* · returnSlot = 副本里真正取数的那一列，必须与上面的仓位名一一对应。
|
* · returnSlot = 副本里真正取数的那一列，必须与上面的仓位名一一对应。
|
||||||
*
|
*
|
||||||
* 仓位名 → 库存位 对照（2026-09-27 复测，条件 ISNULL(col,0) > 0）：
|
* 仓位名 → 库存位 对照（2026-09-25 复测，条件 ISNULL(col,0) > 0）：
|
||||||
* 箱及仓位库存 · 简尚-崔桥工厂仓 · 崔桥工厂客退临时上架仓 customize_qty_1 349 编码 / 507 件
|
* 箱及仓位库存 · 简尚-崔桥工厂仓 · 崔桥工厂客退临时上架仓 customize_qty_1 2 编码 / 2 件 ⚠
|
||||||
* 箱及仓位库存 · 简尚-新苏北仓 · 新苏北客退上架仓 customize_qty_1 75 编码 / 362 件
|
* 箱及仓位库存 · 简尚-新苏北仓 · 新苏北客退上架仓 customize_qty_1 75 编码 / 362 件
|
||||||
* 箱及仓位库存 · 简尚-睢宁仓 · 睢宁客退上架仓 customize_qty_1 98 编码 / 243 件
|
* 箱及仓位库存 · 简尚-睢宁仓 · 睢宁客退上架仓 customize_qty_1 98 编码 / 243 件
|
||||||
* 箱及仓位库存 · 简尚-山东青岗集仓 · 青岗集客退上架仓 customize_qty_2 403 编码 / 912 件
|
* 箱及仓位库存 · 简尚-山东青岗集仓 · 青岗集客退上架仓 customize_qty_2 403 编码 / 912 件
|
||||||
* 箱及仓位库存 · 简尚-河南洛宁仓 · 河南洛宁客退上架仓 三位全为 0（无数据）
|
* 箱及仓位库存 · 简尚-河南洛宁仓 · 河南洛宁客退上架仓 三位全为 0（无数据）
|
||||||
*
|
*
|
||||||
* ── 2026-09-27 重要更新：崔桥工厂仓的客退库存已经同步进副本了 ──
|
|
||||||
* 09-25 首次切换时该仓客退位只有 2 编码 / 2 件（当时判定「未同步进副本」），
|
|
||||||
* 09-26 起 IT 侧补上了同步：09-26 当天写入 317 编码 / 460 件，09-27 又补 31 编码 / 46 件，
|
|
||||||
* 09-27 10:11 实测 349 编码 / 507 件（= 副本 c1 合计，页面与副本完全对得上）。
|
|
||||||
* ⚠ 所以下面「崔桥必然近乎空白 / 只能靠导入」的旧结论已经作废，不要再拿它当依据。
|
|
||||||
* 现在这张看板能正常出数，**不需要**用导入功能兜底。
|
|
||||||
*
|
|
||||||
* ⚠ 崔桥工厂仓（15038426）是 2026-09-25 用户指定替换横林二仓的。复测结论：
|
* ⚠ 崔桥工厂仓（15038426）是 2026-09-25 用户指定替换横林二仓的。复测结论：
|
||||||
* 副本里该仓客退位只有 2 编码 / 2 件，但退货单量很大（ERP 售后单 3,115 条 +
|
* 副本里该仓客退位只有 2 编码 / 2 件，但退货单量很大（ERP 售后单 3,115 条 +
|
||||||
* 奇门退款单 1,812 条，warehouse='简尚-崔桥工厂仓销退仓'）——即「退货有，客退上架库存
|
* 奇门退款单 1,812 条，warehouse='简尚-崔桥工厂仓销退仓'）——即「退货有，客退上架库存
|
||||||
@ -65,8 +58,10 @@ const WAREHOUSE_LIST = [
|
|||||||
returnBinName: '崔桥工厂客退临时上架仓',
|
returnBinName: '崔桥工厂客退临时上架仓',
|
||||||
// 客退临时上架仓占用的自定义库存位
|
// 客退临时上架仓占用的自定义库存位
|
||||||
returnSlot: 'customize_qty_1',
|
returnSlot: 'customize_qty_1',
|
||||||
// 2026-09-27 复测：客退位已同步进副本 —— 349 编码 / 507 件（c1 合计），
|
// ⚠ 2026-09-25 实测：该仓在副本 jst_inventoryInfo 里客退位只有 2 个编码 / 2 件
|
||||||
// 退货单口径：ERP 售后单 3,115 条 + 奇门退款单 1,812 条（warehouse='简尚-崔桥工厂仓销退仓'）。
|
//（qty 总库存 92,818 件；return_qty / c2 / c3 / sale_refund_qty 全为 0）。
|
||||||
|
// 退货单是有的（ERP 售后单 3,115 条 + 奇门退款单 1,812 条），
|
||||||
|
// 说明是「客退上架仓」这一仓位没同步进副本，不是业务上没有退货。
|
||||||
hasReturnStock: true,
|
hasReturnStock: true,
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
|||||||
@ -64,10 +64,6 @@
|
|||||||
|
|
||||||
const cloudDb = require('../config/cloudDatabase');
|
const cloudDb = require('../config/cloudDatabase');
|
||||||
const database = require('../config/database');
|
const database = require('../config/database');
|
||||||
const {
|
|
||||||
loadSupplierExitDates,
|
|
||||||
EMPTY_EXIT_DATES,
|
|
||||||
} = require('./supplierExitDateProvider');
|
|
||||||
const {
|
const {
|
||||||
WAREHOUSE_LIST,
|
WAREHOUSE_LIST,
|
||||||
RETURN_SLOT_COLUMNS,
|
RETURN_SLOT_COLUMNS,
|
||||||
@ -246,7 +242,6 @@ const buildKnownGaps = (warehouse = DEFAULT_WAREHOUSE) => {
|
|||||||
'单价 / 总金额：单价取商品资料 jst_sku 的成本价（cost_price），成本价缺失或为 0 时回退采购价（purchase_price）；总金额 = 单价 × 总库存（即「客退临时上架仓」的库存金额）。商品资料里两个价格都没有的编码（多为虚拟编码，如 HBZBF）单价与总金额显示「--」，且不计入顶部「库存总金额」，页面会单独提示这类编码的数量。',
|
'单价 / 总金额：单价取商品资料 jst_sku 的成本价（cost_price），成本价缺失或为 0 时回退采购价（purchase_price）；总金额 = 单价 × 总库存（即「客退临时上架仓」的库存金额）。商品资料里两个价格都没有的编码（多为虚拟编码，如 HBZBF）单价与总金额显示「--」，且不计入顶部「库存总金额」，页面会单独提示这类编码的数量。',
|
||||||
'单价预警：按商品单价单独分级，默认「单价 > 300 元 → 重点关注」「200 ~ 300 元 → 关注」「< 200 元 → 正常」，阈值可在页面上直接调。它与库龄预警是两个互补维度——库龄看「货压了多久」，单价看「每件压了多少钱」，两者叠加才能看出真正占资金的那批编码。',
|
'单价预警：按商品单价单独分级，默认「单价 > 300 元 → 重点关注」「200 ~ 300 元 → 关注」「< 200 元 → 正常」，阈值可在页面上直接调。它与库龄预警是两个互补维度——库龄看「货压了多久」，单价看「每件压了多少钱」，两者叠加才能看出真正占资金的那批编码。',
|
||||||
'退厂时限：单价 > 重点关注线（默认 300 元）的编码，要求入库后 7 天内完成库存退厂（时限可在页面调）。页面按「在库天数」对比时限，给出「已超期 N 天 / 剩余 N 天」，并在顶部单独提示这批编码的处置要求。「已退厂」的判定是「该编码已从当天库存中消失」（不再依赖出库表），一旦退厂完成，这条编码自然就不会再出现在报表里。',
|
'退厂时限：单价 > 重点关注线（默认 300 元）的编码，要求入库后 7 天内完成库存退厂（时限可在页面调）。页面按「在库天数」对比时限，给出「已超期 N 天 / 剩余 N 天」，并在顶部单独提示这批编码的处置要求。「已退厂」的判定是「该编码已从当天库存中消失」（不再依赖出库表），一旦退厂完成，这条编码自然就不会再出现在报表里。',
|
||||||
'最晚退厂时间（当前「待接入」）：业务上由工作平台对「不再合作」的供应商给出最晚退厂日期，看板按供应商名匹配后与「供应商是否合作」列并排展示。它不在报表副本里——数据属于工作平台库 WorkbenchDataShared（同实例另有 WorkbenchIdentity、DataPlatformControl），而 2026-09-28 取证时副本账号 cangku 访问该库被拒（The server principal "cangku" is not able to access the database "WorkbenchDataShared" under the current security context），系统设置里也没有它的连接配置，.env 的 JIAN_SUN_DB_* / WORK_ORDER_* 全为空；副本库内 5,496 个字段中没有任何「退厂」字段，最接近的 fys_supplier.NoCoopTime 是不可用的停更快照（崔桥仓 8 个不合作供应商里只有 1 个有值，且那 1 条自身还标着「合作」）。所以该列先以「待接入」占位，不影响其他列。要出数只需二选一：① 让 IT 给副本账号开通 WorkbenchDataShared 只读；② 让 IT 把工作平台「供应商不合作」表同步进 JSReportReplica。之后在 backend/src/services/supplierExitDateProvider.js 里填上查询语句即可自动出数，页面与导出都无需再改。',
|
|
||||||
];
|
];
|
||||||
if (!warehouse.hasReturnStock) {
|
if (!warehouse.hasReturnStock) {
|
||||||
gaps.unshift(
|
gaps.unshift(
|
||||||
@ -372,16 +367,10 @@ const buildFullSql = (createdAtBasis = DEFAULT_CREATED_AT_BASIS, warehouse = DEF
|
|||||||
];
|
];
|
||||||
if (useFirstInbound) selectColumns.push('f.first_inbound_time AS [firstInboundTime]');
|
if (useFirstInbound) selectColumns.push('f.first_inbound_time AS [firstInboundTime]');
|
||||||
selectColumns.push("ISNULL(sk.supplier_name, N'') AS [supplier]");
|
selectColumns.push("ISNULL(sk.supplier_name, N'') AS [supplier]");
|
||||||
// 供应商是否合作：取自简尚供应商主数据 js_supplier.coopersgn（1=合作 / 2=不合作）
|
|
||||||
selectColumns.push('sp.coopersgn AS [supplierCoopSign]');
|
|
||||||
// 单价取自商品资料 jst_sku：成本价优先，缺失/为 0 时回退采购价（见 pickUnitPrice）
|
// 单价取自商品资料 jst_sku：成本价优先，缺失/为 0 时回退采购价（见 pickUnitPrice）
|
||||||
selectColumns.push('sk.cost_price AS [costPrice]');
|
selectColumns.push('sk.cost_price AS [costPrice]');
|
||||||
selectColumns.push('sk.purchase_price AS [purchasePrice]');
|
selectColumns.push('sk.purchase_price AS [purchasePrice]');
|
||||||
const joins = ['LEFT JOIN dbo.jst_sku sk ON sk.sku_id = s.product_code'];
|
const joins = ['LEFT JOIN dbo.jst_sku sk ON sk.sku_id = s.product_code'];
|
||||||
// ⚠ 关联键必须是 scmname（供应商简称），与 jst_sku.supplier_name 是同一套命名（2026-09-28 实测
|
|
||||||
// 匹配 100/109）；tradebody（工商全称）只能匹配 1 条，别用。scmname 在 js_supplier 里唯一
|
|
||||||
// （1,497 行 / 1,497 个不同值），所以 LEFT JOIN 不会放大行数。
|
|
||||||
joins.push('LEFT JOIN dbo.js_supplier sp ON sp.scmname = sk.supplier_name');
|
|
||||||
if (useFirstInbound) joins.push('LEFT JOIN first_in f ON f.product_code = s.product_code');
|
if (useFirstInbound) joins.push('LEFT JOIN first_in f ON f.product_code = s.product_code');
|
||||||
|
|
||||||
return `
|
return `
|
||||||
@ -403,13 +392,7 @@ const buildStockSyncedSql = (warehouse = DEFAULT_WAREHOUSE) => `
|
|||||||
FROM dbo.jst_inventoryInfo
|
FROM dbo.jst_inventoryInfo
|
||||||
WHERE wms_co_id = ${warehouse.wmsCoId}`;
|
WHERE wms_co_id = ${warehouse.wmsCoId}`;
|
||||||
|
|
||||||
// 默认 5 分钟：副本侧 ETL 约 10 分钟一批增量（2026-09-27 实测），
|
const CACHE_TTL_MS = 10 * 60 * 1000;
|
||||||
// 这里再压一层缓存只是防止多人反复翻页把副本打爆；想更快用 env 调，或前端点「刷新数据」强制回源。
|
|
||||||
const DEFAULT_CACHE_TTL_MS = 5 * 60 * 1000;
|
|
||||||
const resolveCacheTtlMs = () => {
|
|
||||||
const raw = Number.parseInt(process.env.RETURN_STOCK_WARNING_CACHE_TTL_MS, 10);
|
|
||||||
return Number.isFinite(raw) && raw >= 0 ? raw : DEFAULT_CACHE_TTL_MS;
|
|
||||||
};
|
|
||||||
// 缓存键 = 仓库 + 创建时间口径（两者都会改变 SQL / 取到的行）
|
// 缓存键 = 仓库 + 创建时间口径（两者都会改变 SQL / 取到的行）
|
||||||
const buildCacheKey = (warehouse, basis) => `${warehouse.key}|${basis}`;
|
const buildCacheKey = (warehouse, basis) => `${warehouse.key}|${basis}`;
|
||||||
const rowCache = new Map();
|
const rowCache = new Map();
|
||||||
@ -425,7 +408,7 @@ async function loadReplicaRows({
|
|||||||
const basis = resolveCreatedAtBasis(createdAtBasis);
|
const basis = resolveCreatedAtBasis(createdAtBasis);
|
||||||
const key = buildCacheKey(warehouse, basis);
|
const key = buildCacheKey(warehouse, basis);
|
||||||
const cached = rowCache.get(key);
|
const cached = rowCache.get(key);
|
||||||
if (!refresh && cached && cached.rows && Date.now() - cached.at < resolveCacheTtlMs()) {
|
if (!refresh && cached && cached.rows && Date.now() - cached.at < CACHE_TTL_MS) {
|
||||||
return cached.rows;
|
return cached.rows;
|
||||||
}
|
}
|
||||||
const running = inflightCache.get(key);
|
const running = inflightCache.get(key);
|
||||||
@ -454,7 +437,7 @@ async function loadReplicaRows({
|
|||||||
/** 副本库存表最近一次同步时间（YYYY-MM-DD HH:mm:ss），页面「库存更新时间」用 */
|
/** 副本库存表最近一次同步时间（YYYY-MM-DD HH:mm:ss），页面「库存更新时间」用 */
|
||||||
async function loadStockSyncedAt({ refresh = false, warehouse = DEFAULT_WAREHOUSE } = {}) {
|
async function loadStockSyncedAt({ refresh = false, warehouse = DEFAULT_WAREHOUSE } = {}) {
|
||||||
const state = stockSyncedAtState.get(warehouse.key);
|
const state = stockSyncedAtState.get(warehouse.key);
|
||||||
if (!refresh && state?.value && Date.now() - state.at < resolveCacheTtlMs()) {
|
if (!refresh && state?.value && Date.now() - state.at < CACHE_TTL_MS) {
|
||||||
return state.value;
|
return state.value;
|
||||||
}
|
}
|
||||||
try {
|
try {
|
||||||
@ -584,24 +567,6 @@ const resolveReturnLimitDays = (value) => {
|
|||||||
* 其余 → pending，returnRemainDays = 剩余天数（时限 − 在库天数）
|
* 其余 → pending，returnRemainDays = 剩余天数（时限 − 在库天数）
|
||||||
* 拿不到创建时间（算不出在库天数）时按 pending 处理，剩余天数留空，页面提示「待补创建时间」。
|
* 拿不到创建时间（算不出在库天数）时按 pending 处理，剩余天数留空，页面提示「待补创建时间」。
|
||||||
*/
|
*/
|
||||||
// ---------------------------------------------------------------------------
|
|
||||||
// 供应商是否合作（2026-09-28 新增）
|
|
||||||
// 依据：简尚供应商主数据 dbo.js_supplier.coopersgn —— 1 = 合作中，2 = 不合作。
|
|
||||||
// 语义已交叉验证：与 dbo.fys_supplier.IsCoop（'合作'/'不合作'）比对，
|
|
||||||
// coopersgn=2 ↔ 不合作 823 条一致、coopersgn=1 ↔ 合作 270 条一致。
|
|
||||||
// 两边冲突的 262 条以 js_supplier 为准 —— fys_supplier 是旧快照（DownloadTime 停在
|
|
||||||
// 2025-11，样本多为 2023/2024），而 js_supplier 的 local_updated 已到 2026-09。
|
|
||||||
// 匹配不上（供应商没进主数据、或该编码没有供应商）一律按「未知」展示，不要当「不合作」。
|
|
||||||
// ---------------------------------------------------------------------------
|
|
||||||
const SUPPLIER_COOP_LABELS = { cooperative: '合作', ended: '不合作', unknown: '未知' };
|
|
||||||
const resolveSupplierCoop = (sign) => {
|
|
||||||
if (sign === null || sign === undefined || sign === '') return 'unknown';
|
|
||||||
const n = Number(sign);
|
|
||||||
if (n === 1) return 'cooperative';
|
|
||||||
if (n === 2) return 'ended';
|
|
||||||
return 'unknown';
|
|
||||||
};
|
|
||||||
|
|
||||||
const resolveReturnDeadline = ({ unitPriceLevel, stockDays, isOutbound, returnLimitDays }) => {
|
const resolveReturnDeadline = ({ unitPriceLevel, stockDays, isOutbound, returnLimitDays }) => {
|
||||||
if (unitPriceLevel !== 'high') return { status: 'none', remainDays: null };
|
if (unitPriceLevel !== 'high') return { status: 'none', remainDays: null };
|
||||||
if (isOutbound) return { status: 'done', remainDays: null };
|
if (isOutbound) return { status: 'done', remainDays: null };
|
||||||
@ -830,8 +795,6 @@ function composeRows({
|
|||||||
replicaRows, overrides, qtyBasis, createdAtBasis, today, scope, focusDays, alertDays, priceMap,
|
replicaRows, overrides, qtyBasis, createdAtBasis, today, scope, focusDays, alertDays, priceMap,
|
||||||
priceFocusMin = DEFAULT_PRICE_FOCUS_MIN, priceHighMin = DEFAULT_PRICE_HIGH_MIN,
|
priceFocusMin = DEFAULT_PRICE_FOCUS_MIN, priceHighMin = DEFAULT_PRICE_HIGH_MIN,
|
||||||
returnLimitDays = DEFAULT_RETURN_LIMIT_DAYS, warehouse = DEFAULT_WAREHOUSE,
|
returnLimitDays = DEFAULT_RETURN_LIMIT_DAYS, warehouse = DEFAULT_WAREHOUSE,
|
||||||
// 供应商「最晚退厂时间」（工作平台数据，见 supplierExitDateProvider；未接入时是空 Map）
|
|
||||||
exitDates = EMPTY_EXIT_DATES,
|
|
||||||
}) {
|
}) {
|
||||||
const hasImport = overrides.size > 0;
|
const hasImport = overrides.size > 0;
|
||||||
const rows = [];
|
const rows = [];
|
||||||
@ -858,11 +821,6 @@ function composeRows({
|
|||||||
const deadline = resolveReturnDeadline({
|
const deadline = resolveReturnDeadline({
|
||||||
unitPriceLevel, stockDays, isOutbound, returnLimitDays,
|
unitPriceLevel, stockDays, isOutbound, returnLimitDays,
|
||||||
});
|
});
|
||||||
// 供应商是否合作（js_supplier.coopersgn）
|
|
||||||
const supplierCoop = resolveSupplierCoop(row.supplierCoopSign);
|
|
||||||
// 最晚退厂时间（工作平台「供应商不合作」，按供应商名匹配；未接入时为空）
|
|
||||||
const supplierName = String(row.supplier || '').trim();
|
|
||||||
const latestExitDate = exitDates.bySupplier.get(supplierName) || '';
|
|
||||||
|
|
||||||
if (scope === 'imported' && !override) return;
|
if (scope === 'imported' && !override) return;
|
||||||
if (qty <= 0) return;
|
if (qty <= 0) return;
|
||||||
@ -893,11 +851,6 @@ function composeRows({
|
|||||||
stockDays,
|
stockDays,
|
||||||
warningLevel: resolveWarningLevel(stockDays, focusDays, alertDays),
|
warningLevel: resolveWarningLevel(stockDays, focusDays, alertDays),
|
||||||
isOutbound,
|
isOutbound,
|
||||||
supplierCoop,
|
|
||||||
supplierCoopLabel: SUPPLIER_COOP_LABELS[supplierCoop] || '',
|
|
||||||
latestExitDate,
|
|
||||||
latestExitDateLabel: latestExitDate,
|
|
||||||
latestExitDateAvailable: exitDates.available,
|
|
||||||
source: override ? 'jst' : 'replica',
|
source: override ? 'jst' : 'replica',
|
||||||
noInboundRecord: !createdAtRaw,
|
noInboundRecord: !createdAtRaw,
|
||||||
});
|
});
|
||||||
@ -917,9 +870,6 @@ function composeRows({
|
|||||||
const deadline = resolveReturnDeadline({
|
const deadline = resolveReturnDeadline({
|
||||||
unitPriceLevel, stockDays, isOutbound, returnLimitDays,
|
unitPriceLevel, stockDays, isOutbound, returnLimitDays,
|
||||||
});
|
});
|
||||||
// 这条是「导入里有、副本里没有」补进来的编码，没走副本 join，拿不到 coopersgn → 标「未知」
|
|
||||||
const supplierCoop = 'unknown';
|
|
||||||
const supplierExitDate = exitDates.bySupplier.get(String(override.supplier || '').trim()) || '';
|
|
||||||
rows.push({
|
rows.push({
|
||||||
productCode: code,
|
productCode: code,
|
||||||
createdAt: formatDateTime(override.createdAt),
|
createdAt: formatDateTime(override.createdAt),
|
||||||
@ -945,11 +895,6 @@ function composeRows({
|
|||||||
stockDays,
|
stockDays,
|
||||||
warningLevel: resolveWarningLevel(stockDays, focusDays, alertDays),
|
warningLevel: resolveWarningLevel(stockDays, focusDays, alertDays),
|
||||||
isOutbound,
|
isOutbound,
|
||||||
supplierCoop,
|
|
||||||
supplierCoopLabel: SUPPLIER_COOP_LABELS[supplierCoop] || '',
|
|
||||||
latestExitDate: supplierExitDate,
|
|
||||||
latestExitDateLabel: supplierExitDate,
|
|
||||||
latestExitDateAvailable: exitDates.available,
|
|
||||||
source: 'jst',
|
source: 'jst',
|
||||||
noInboundRecord: !override.createdAt,
|
noInboundRecord: !override.createdAt,
|
||||||
});
|
});
|
||||||
@ -1112,11 +1057,10 @@ async function getReturnStockWarningList(options = {}) {
|
|||||||
const priceLevel = resolvePriceLevelFilter(options.priceLevel);
|
const priceLevel = resolvePriceLevelFilter(options.priceLevel);
|
||||||
const today = formatLocalDate();
|
const today = formatLocalDate();
|
||||||
|
|
||||||
const [replicaRows, overrides, latestImport, exitDates] = await Promise.all([
|
const [replicaRows, overrides, latestImport] = await Promise.all([
|
||||||
loadReplicaRows({ refresh: String(options.refresh) === 'true', createdAtBasis, warehouse }),
|
loadReplicaRows({ refresh: String(options.refresh) === 'true', createdAtBasis, warehouse }),
|
||||||
loadImportOverrides(warehouse),
|
loadImportOverrides(warehouse),
|
||||||
loadLatestImportBatch(warehouse),
|
loadLatestImportBatch(warehouse),
|
||||||
loadSupplierExitDates(),
|
|
||||||
]);
|
]);
|
||||||
|
|
||||||
const priceMap = await loadPriceMapForOverrides(replicaRows, overrides);
|
const priceMap = await loadPriceMapForOverrides(replicaRows, overrides);
|
||||||
@ -1135,7 +1079,6 @@ async function getReturnStockWarningList(options = {}) {
|
|||||||
priceHighMin,
|
priceHighMin,
|
||||||
returnLimitDays,
|
returnLimitDays,
|
||||||
warehouse,
|
warehouse,
|
||||||
exitDates,
|
|
||||||
});
|
});
|
||||||
|
|
||||||
const filtered = composed.rows.filter((row) => matchesKeyword(row, keyword) && matchesSupplier(row, supplier));
|
const filtered = composed.rows.filter((row) => matchesKeyword(row, keyword) && matchesSupplier(row, supplier));
|
||||||
@ -1186,12 +1129,6 @@ async function getReturnStockWarningList(options = {}) {
|
|||||||
summary,
|
summary,
|
||||||
import: latestImport,
|
import: latestImport,
|
||||||
hasImport: composed.hasImport,
|
hasImport: composed.hasImport,
|
||||||
// 「最晚退厂时间」数据源状态（页面用它渲染「待接入」提示与列 Tooltip）
|
|
||||||
exitDateMeta: {
|
|
||||||
available: exitDates.available,
|
|
||||||
sourceLabel: exitDates.sourceLabel,
|
|
||||||
message: exitDates.message,
|
|
||||||
},
|
|
||||||
gaps: buildKnownGaps(warehouse),
|
gaps: buildKnownGaps(warehouse),
|
||||||
};
|
};
|
||||||
}
|
}
|
||||||
@ -1211,8 +1148,7 @@ const buildExportColumns = (warehouse = DEFAULT_WAREHOUSE) => [
|
|||||||
{ key: 'amount', title: '总金额' },
|
{ key: 'amount', title: '总金额' },
|
||||||
{ key: 'unitPriceLevelLabel', title: '单价预警' },
|
{ key: 'unitPriceLevelLabel', title: '单价预警' },
|
||||||
{ key: 'returnDeadlineLabel', title: '退厂时限' },
|
{ key: 'returnDeadlineLabel', title: '退厂时限' },
|
||||||
{ key: 'supplierCoopLabel', title: '供应商是否合作' },
|
{ key: 'isOutboundLabel', title: '是否出库' },
|
||||||
{ key: 'latestExitDateLabel', title: '最晚退厂时间' },
|
|
||||||
{ key: 'returnQty', title: '退货仓库存(return_qty)' },
|
{ key: 'returnQty', title: '退货仓库存(return_qty)' },
|
||||||
{ key: 'returnSlotQty', title: `客退临时上架库存(${warehouse.returnSlot})` },
|
{ key: 'returnSlotQty', title: `客退临时上架库存(${warehouse.returnSlot})` },
|
||||||
{ key: 'sourceLabel', title: '数据来源' },
|
{ key: 'sourceLabel', title: '数据来源' },
|
||||||
@ -1238,10 +1174,9 @@ async function getReturnStockWarningExportRows(options = {}) {
|
|||||||
const priceLevel = resolvePriceLevelFilter(options.priceLevel);
|
const priceLevel = resolvePriceLevelFilter(options.priceLevel);
|
||||||
const today = formatLocalDate();
|
const today = formatLocalDate();
|
||||||
|
|
||||||
const [replicaRows, overrides, exitDates] = await Promise.all([
|
const [replicaRows, overrides] = await Promise.all([
|
||||||
loadReplicaRows({ refresh: String(options.refresh) === 'true', createdAtBasis, warehouse }),
|
loadReplicaRows({ refresh: String(options.refresh) === 'true', createdAtBasis, warehouse }),
|
||||||
loadImportOverrides(warehouse),
|
loadImportOverrides(warehouse),
|
||||||
loadSupplierExitDates(),
|
|
||||||
]);
|
]);
|
||||||
|
|
||||||
const priceMap = await loadPriceMapForOverrides(replicaRows, overrides);
|
const priceMap = await loadPriceMapForOverrides(replicaRows, overrides);
|
||||||
@ -1260,7 +1195,6 @@ async function getReturnStockWarningExportRows(options = {}) {
|
|||||||
priceHighMin,
|
priceHighMin,
|
||||||
returnLimitDays,
|
returnLimitDays,
|
||||||
warehouse,
|
warehouse,
|
||||||
exitDates,
|
|
||||||
});
|
});
|
||||||
|
|
||||||
const filtered = composed.rows.filter((row) => matchesKeyword(row, keyword) && matchesSupplier(row, supplier));
|
const filtered = composed.rows.filter((row) => matchesKeyword(row, keyword) && matchesSupplier(row, supplier));
|
||||||
@ -1274,10 +1208,7 @@ async function getReturnStockWarningExportRows(options = {}) {
|
|||||||
warningLabel: WARNING_LABELS[row.warningLevel] || WARNING_LABELS.normal,
|
warningLabel: WARNING_LABELS[row.warningLevel] || WARNING_LABELS.normal,
|
||||||
unitPriceLevelLabel: PRICE_WARNING_LABELS[row.unitPriceLevel] || '',
|
unitPriceLevelLabel: PRICE_WARNING_LABELS[row.unitPriceLevel] || '',
|
||||||
returnDeadlineLabel: formatReturnDeadlineLabel(row.returnDeadlineStatus, row.returnRemainDays),
|
returnDeadlineLabel: formatReturnDeadlineLabel(row.returnDeadlineStatus, row.returnRemainDays),
|
||||||
supplierCoopLabel: row.supplierCoopLabel || SUPPLIER_COOP_LABELS.unknown,
|
isOutboundLabel: row.isOutbound ? '是' : '否',
|
||||||
// 工作平台未接入时导出显示「待接入」，避免空列被误读成「没有退厂时间」
|
|
||||||
latestExitDateLabel: row.latestExitDateLabel
|
|
||||||
|| (row.latestExitDateAvailable ? '—' : '待接入'),
|
|
||||||
sourceLabel: row.createdAtSourceLabel || '',
|
sourceLabel: row.createdAtSourceLabel || '',
|
||||||
createdAtRaw: undefined,
|
createdAtRaw: undefined,
|
||||||
}));
|
}));
|
||||||
|
|||||||
@ -139,12 +139,7 @@ async function fetchGradeRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days }) {
|
|||||||
* 「销售=0」档的 SKU 级明细（导出用）。
|
* 「销售=0」档的 SKU 级明细（导出用）。
|
||||||
* 口径与 fetchGradeRows 完全一致：同一分档表达式命中 gradeKey='zero'，
|
* 口径与 fetchGradeRows 完全一致：同一分档表达式命中 gradeKey='zero'，
|
||||||
* 即统计窗口内销量 <= 0 且「有库存或有销量」的 SKU。
|
* 即统计窗口内销量 <= 0 且「有库存或有销量」的 SKU。
|
||||||
*
|
* @returns {Promise<Array<{wmsCoId:string, skuId:string, skuName:string, stockQty:number, salesQty:number}>>}
|
||||||
* 系统仓位取自 rpt.jst_packInventoryInfo.bin（jst_sku.bin 全为空、库存表无仓位字段）。
|
|
||||||
* 每个仓位独立一行，库存数量按该仓位的实际 qty 统计（各仓位行之和 = SKU 总库存）：
|
|
||||||
* - 有仓位数据的 SKU：按 (wms_co_id, sku_id, bin) 展开，qty=0 的仓位行剔除；
|
|
||||||
* - 无仓位数据的 SKU（仓位表未覆盖的仓库）：保留一行，仓位为空、库存取 SKU 总库存，避免丢数。
|
|
||||||
* @returns {Promise<Array<{wmsCoId:string, skuId:string, skuName:string, binName:string, stockQty:number, salesQty:number}>>}
|
|
||||||
*/
|
*/
|
||||||
async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days }) {
|
async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days }) {
|
||||||
if (!cloudDb || typeof cloudDb.query !== 'function') {
|
if (!cloudDb || typeof cloudDb.query !== 'function') {
|
||||||
@ -158,17 +153,7 @@ async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days
|
|||||||
const gradeCase = buildGradeCase();
|
const gradeCase = buildGradeCase();
|
||||||
|
|
||||||
const sqlText = `
|
const sqlText = `
|
||||||
WITH bin AS (
|
WITH inv AS (
|
||||||
SELECT p.wms_co_id AS wmsCoId,
|
|
||||||
p.sku_id AS skuId,
|
|
||||||
LTRIM(RTRIM(p.bin)) AS b,
|
|
||||||
SUM(CAST(ISNULL(p.qty, 0) AS DECIMAL(18, 2))) AS binQty
|
|
||||||
FROM rpt.jst_packInventoryInfo p
|
|
||||||
WHERE ISNULL(p.bin, '') <> ''
|
|
||||||
AND ISNULL(p.qty, 0) <> 0
|
|
||||||
GROUP BY p.wms_co_id, p.sku_id, LTRIM(RTRIM(p.bin))
|
|
||||||
),
|
|
||||||
inv AS (
|
|
||||||
SELECT i.wms_co_id AS wmsCoId,
|
SELECT i.wms_co_id AS wmsCoId,
|
||||||
i.sku_id AS skuId,
|
i.sku_id AS skuId,
|
||||||
SUM(CAST(ISNULL(i.qty, 0) AS DECIMAL(18, 2))) AS stockQty
|
SUM(CAST(ISNULL(i.qty, 0) AS DECIMAL(18, 2))) AS stockQty
|
||||||
@ -213,14 +198,12 @@ async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days
|
|||||||
SELECT g.wmsCoId,
|
SELECT g.wmsCoId,
|
||||||
g.skuId,
|
g.skuId,
|
||||||
ISNULL(s.name, '') AS skuName,
|
ISNULL(s.name, '') AS skuName,
|
||||||
ISNULL(bn.b, '') AS binName,
|
CAST(g.stockQty AS DECIMAL(18, 2)) AS stockQty,
|
||||||
CAST(COALESCE(bn.binQty, g.stockQty) AS DECIMAL(18, 2)) AS stockQty,
|
|
||||||
CAST(g.salesQty AS DECIMAL(18, 2)) AS salesQty
|
CAST(g.salesQty AS DECIMAL(18, 2)) AS salesQty
|
||||||
FROM graded g
|
FROM graded g
|
||||||
LEFT JOIN rpt.jst_sku s ON s.sku_id = g.skuId
|
LEFT JOIN rpt.jst_sku s ON s.sku_id = g.skuId
|
||||||
LEFT JOIN bin bn ON bn.wmsCoId = g.wmsCoId AND bn.skuId = g.skuId
|
|
||||||
WHERE g.gradeKey = 'zero'
|
WHERE g.gradeKey = 'zero'
|
||||||
ORDER BY g.wmsCoId, g.stockQty DESC, g.skuId, bn.b`;
|
ORDER BY g.wmsCoId, g.stockQty DESC, g.skuId`;
|
||||||
|
|
||||||
const rows = await cloudDb.query(sqlText, {
|
const rows = await cloudDb.query(sqlText, {
|
||||||
...invIn.params,
|
...invIn.params,
|
||||||
@ -234,7 +217,6 @@ async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days
|
|||||||
wmsCoId: String(r.wmsCoId),
|
wmsCoId: String(r.wmsCoId),
|
||||||
skuId: String(r.skuId ?? ''),
|
skuId: String(r.skuId ?? ''),
|
||||||
skuName: r.skuName == null ? '' : String(r.skuName),
|
skuName: r.skuName == null ? '' : String(r.skuName),
|
||||||
binName: r.binName == null ? '' : String(r.binName),
|
|
||||||
stockQty: Number(r.stockQty) || 0,
|
stockQty: Number(r.stockQty) || 0,
|
||||||
salesQty: Number(r.salesQty) || 0,
|
salesQty: Number(r.salesQty) || 0,
|
||||||
}));
|
}));
|
||||||
|
|||||||
@ -1,140 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 「最晚退厂时间」取数（2026-09-28 新增）
|
|
||||||
*
|
|
||||||
* 业务口径：供应商不再合作时，工作平台会给该供应商一个「最晚退厂时间」，
|
|
||||||
* 即它放在仓里的货最后必须拉走的日期，看板上跟「供应商是否合作」列并排展示。
|
|
||||||
*
|
|
||||||
* ── 数据在哪 ──────────────────────────────────────────────────────────────
|
|
||||||
* 工作平台库。副本实例（218.93.9.21:1433）上共有 9 个库：
|
|
||||||
* master / model / msdb / tempdb / SSISDB / JSReportReplica（副本，我们只读它）/
|
|
||||||
* DataPlatformControl / WorkbenchDataShared / WorkbenchIdentity。
|
|
||||||
* 「工作平台」= WorkbenchDataShared（配套身份库 WorkbenchIdentity，控制库 DataPlatformControl）。
|
|
||||||
*
|
|
||||||
* ── 当前为什么是空的（2026-09-28 已逐条取证，别再重复排查）───────────────
|
|
||||||
* ① 副本账号 cangku 访问 WorkbenchDataShared / WorkbenchIdentity / DataPlatformControl
|
|
||||||
* **一律被拒**：The server principal "cangku" is not able to access the database
|
|
||||||
* "WorkbenchDataShared" under the current security context.
|
|
||||||
* ② 系统设置（database_configs）里只有 cloud_database_public（JSReportReplica）与
|
|
||||||
* product_information_database（PostgreSQL），没有工作平台库。
|
|
||||||
* ③ 本机 .env 与生产 /opt/cangku/shared/backend.env 里的 JIAN_SUN_DB_HOST/USER/PASSWORD、
|
|
||||||
* WORK_ORDER_* 全部为空（只留了端口/库名占位）。
|
|
||||||
* ④ 副本库内部没有任何「退厂」字段：5,496 个字段全量搜过，COLUMN_NAME 含「退厂」的为 0；
|
|
||||||
* 最接近的 fys_supplier.NoCoopTime（不合作时间）**不能拿来顶替** —— 它是停更快照
|
|
||||||
* （DownloadTime 多在 2023~2024），崔桥仓 8 个不合作供应商里只有 1 个有值，
|
|
||||||
* 而且那 1 条自身还标着 IsCoop='合作'，自相矛盾。
|
|
||||||
*
|
|
||||||
* ── IT 开通后怎么接（只需改本文件）────────────────────────────────────────
|
|
||||||
* 二选一，改完即生效，页面与导出都会自动出数：
|
|
||||||
* A. 给副本账号授只读：让 IT 执行 `USE WorkbenchDataShared; GRANT SELECT TO [cangku];`
|
|
||||||
* （或建同义词/视图），然后把下面 EXIT_DATE_QUERY 填成跨库查询，例如：
|
|
||||||
* SELECT SupplierName AS supplierName, CONVERT(varchar(10), LatestExitDate, 120) AS exitDate
|
|
||||||
* FROM WorkbenchDataShared.dbo.<供应商不合作表>
|
|
||||||
* B. 让 IT 把「供应商不合作」表同步进 JSReportReplica（像 js_supplier / fys_supplier 那样），
|
|
||||||
* 再把 EXIT_DATE_QUERY 指向副本里的表名。
|
|
||||||
* 查询只需要返回两列：supplierName（供应商名，口径同 js_supplier.scmname / jst_sku.supplier_name，
|
|
||||||
* 即简称）与 exitDate（最晚退厂日期，字符串 'YYYY-MM-DD' 或 datetime 均可）。
|
|
||||||
*
|
|
||||||
* 未接入时本模块恒返回 available=false，页面该列显示「待接入」，不会报错、不影响其他列。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const cloudDb = require('../config/cloudDatabase');
|
|
||||||
|
|
||||||
const SOURCE_LABEL = '工作平台（WorkbenchDataShared）· 供应商不合作';
|
|
||||||
const UNAVAILABLE_MESSAGE = '工作平台库尚未授权，待 IT 开通后自动出数';
|
|
||||||
|
|
||||||
// ---- 接入点（IT 开通后配这两个环境变量即可，不必改代码）--------------------
|
|
||||||
// SUPPLIER_EXIT_DATE_ENABLED=true
|
|
||||||
// SUPPLIER_EXIT_DATE_SQL=<查询语句，需返回 supplierName / exitDate 两列>
|
|
||||||
// 也可以在下面 CODE_* 常量里直接写死（env 优先）。
|
|
||||||
const CODE_EXIT_DATE_ENABLED = false;
|
|
||||||
const CODE_EXIT_DATE_QUERY = '';
|
|
||||||
const ENABLED = process.env.SUPPLIER_EXIT_DATE_ENABLED === 'true' || CODE_EXIT_DATE_ENABLED;
|
|
||||||
const EXIT_DATE_QUERY = process.env.SUPPLIER_EXIT_DATE_SQL || CODE_EXIT_DATE_QUERY;
|
|
||||||
// ---------------------------------------------------------------------------
|
|
||||||
|
|
||||||
const CACHE_TTL_MS = Number.parseInt(process.env.SUPPLIER_EXIT_DATE_CACHE_TTL_MS, 10) >= 0
|
|
||||||
? Number.parseInt(process.env.SUPPLIER_EXIT_DATE_CACHE_TTL_MS, 10)
|
|
||||||
: 30 * 60 * 1000;
|
|
||||||
|
|
||||||
let cache = null; // { at, payload }
|
|
||||||
|
|
||||||
const formatExitDate = (value) => {
|
|
||||||
if (value === null || value === undefined || value === '') return '';
|
|
||||||
if (value instanceof Date) {
|
|
||||||
if (Number.isNaN(value.getTime())) return '';
|
|
||||||
const y = value.getFullYear();
|
|
||||||
const m = String(value.getMonth() + 1).padStart(2, '0');
|
|
||||||
const d = String(value.getDate()).padStart(2, '0');
|
|
||||||
return `${y}-${m}-${d}`;
|
|
||||||
}
|
|
||||||
const text = String(value).trim();
|
|
||||||
if (!text) return '';
|
|
||||||
const match = text.match(/^(\d{4})[-/.](\d{1,2})[-/.](\d{1,2})/);
|
|
||||||
if (!match) return text;
|
|
||||||
return `${match[1]}-${match[2].padStart(2, '0')}-${match[3].padStart(2, '0')}`;
|
|
||||||
};
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 取「供应商 → 最晚退厂时间」映射。
|
|
||||||
* 返回 { available, sourceLabel, message, bySupplier: Map<string, string> }
|
|
||||||
*/
|
|
||||||
async function loadSupplierExitDates() {
|
|
||||||
const describe = () => ({
|
|
||||||
available: false,
|
|
||||||
sourceLabel: SOURCE_LABEL,
|
|
||||||
message: UNAVAILABLE_MESSAGE,
|
|
||||||
bySupplier: new Map(),
|
|
||||||
});
|
|
||||||
|
|
||||||
if (!ENABLED || !EXIT_DATE_QUERY) return describe();
|
|
||||||
if (cache && Date.now() - cache.at < CACHE_TTL_MS) return cache.payload;
|
|
||||||
|
|
||||||
try {
|
|
||||||
const rows = await cloudDb.query(EXIT_DATE_QUERY, {}, { requestTimeout: 120000 });
|
|
||||||
const bySupplier = new Map();
|
|
||||||
(rows || []).forEach((row) => {
|
|
||||||
const name = String(row.supplierName || '').trim();
|
|
||||||
const date = formatExitDate(row.exitDate);
|
|
||||||
if (!name || !date) return;
|
|
||||||
const prev = bySupplier.get(name);
|
|
||||||
// 同一供应商多条时取最晚的日期
|
|
||||||
if (!prev || date > prev) bySupplier.set(name, date);
|
|
||||||
});
|
|
||||||
const payload = {
|
|
||||||
available: true,
|
|
||||||
sourceLabel: SOURCE_LABEL,
|
|
||||||
message: '',
|
|
||||||
bySupplier,
|
|
||||||
};
|
|
||||||
cache = { at: Date.now(), payload };
|
|
||||||
return payload;
|
|
||||||
} catch (error) {
|
|
||||||
// 取不到不算致命：该列留空、页面提示待接入，其余列照常
|
|
||||||
console.warn('[SupplierExitDate] 最晚退厂时间取数失败:', error.message);
|
|
||||||
const payload = {
|
|
||||||
available: false,
|
|
||||||
sourceLabel: SOURCE_LABEL,
|
|
||||||
message: `工作平台库读取失败（${error.message}），该列暂空`,
|
|
||||||
bySupplier: new Map(),
|
|
||||||
};
|
|
||||||
cache = { at: Date.now(), payload };
|
|
||||||
return payload;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
const EMPTY_EXIT_DATES = Object.freeze({
|
|
||||||
available: false,
|
|
||||||
sourceLabel: SOURCE_LABEL,
|
|
||||||
message: UNAVAILABLE_MESSAGE,
|
|
||||||
bySupplier: new Map(),
|
|
||||||
});
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
loadSupplierExitDates,
|
|
||||||
formatExitDate,
|
|
||||||
EMPTY_EXIT_DATES,
|
|
||||||
EXIT_DATE_SOURCE_LABEL: SOURCE_LABEL,
|
|
||||||
EXIT_DATE_UNAVAILABLE_MESSAGE: UNAVAILABLE_MESSAGE,
|
|
||||||
};
|
|
||||||
@ -1,318 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 「仓储中心物流转运异常」每天定点推文本到钉钉群 —— 配置与状态存取
|
|
||||||
* ────────────────────────────────────────────────────────────────────────────
|
|
||||||
* 配置分两层存（与统一通知中心同一套做法，见 yydNotificationCenterSettings）：
|
|
||||||
* · 普通字段 → 本地库 `system_config`，key = warehouse_logistics_exception_notify_config
|
|
||||||
* · 加签密钥 → resilientSecretStore（system_secrets + 用户目录备份文件）
|
|
||||||
*
|
|
||||||
* 通道是「钉钉群自定义机器人 webhook」（2026-10-22 业务定：不发 .xlsx 附件，
|
|
||||||
* 群里直接看文本），所以只有两个凭据字段：
|
|
||||||
* · webhookUrl 群机器人地址（含 access_token；完整回显，业务要能核对）
|
|
||||||
* · webhookSecret 加签密钥（SEC 开头，只回掩码；安全设置选「关键词/IP」时留空）
|
|
||||||
*
|
|
||||||
* 推送时刻用页面上的 HH:mm（默认 09:10，核验 09:00 之后），**按北京时间解释**：
|
|
||||||
* 生产容器是 UTC，绝不能拿容器本地时间比。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const database = require('../config/database');
|
|
||||||
const {
|
|
||||||
getResilientSecret,
|
|
||||||
saveResilientSecret,
|
|
||||||
} = require('./resilientSecretStore');
|
|
||||||
|
|
||||||
const CONFIG_KEY = 'warehouse_logistics_exception_notify_config';
|
|
||||||
const SECRET_KEY = 'warehouse_logistics_exception_notify_webhook_secret';
|
|
||||||
const STATE_KEY = 'warehouse_logistics_exception_notify_state';
|
|
||||||
const DEFAULT_SEND_TIME = '09:10';
|
|
||||||
// 明细条数：text 消息上限 20000 字节，30 条中文明细约 9~12KB，留足余量
|
|
||||||
const DEFAULT_MAX_DETAIL_ROWS = 30;
|
|
||||||
const MAX_DETAIL_ROWS_LIMIT = 50;
|
|
||||||
// 页面地址（消息里给「查看全部」链接）。生产是带 8443 的域名，别写成裸域名
|
|
||||||
const DEFAULT_PAGE_URL = process.env.WLE_PAGE_URL
|
|
||||||
|| 'https://ck.yydd.ai:8443/planning/operation/warehouse-logistics-exception';
|
|
||||||
const CACHE_TTL_MS = 30 * 1000;
|
|
||||||
|
|
||||||
let cachedConfig = null;
|
|
||||||
let cachedAt = 0;
|
|
||||||
|
|
||||||
function normalizeText(value, maxLength = 512) {
|
|
||||||
return String(value ?? '').trim().slice(0, maxLength);
|
|
||||||
}
|
|
||||||
|
|
||||||
function safeJsonParse(value, fallback = {}) {
|
|
||||||
if (value && typeof value === 'object') return value;
|
|
||||||
try { return JSON.parse(value || '{}'); } catch (_error) { return fallback; }
|
|
||||||
}
|
|
||||||
|
|
||||||
function maskSecret(value) {
|
|
||||||
const text = normalizeText(value);
|
|
||||||
if (!text) return '';
|
|
||||||
if (text.length <= 8) return `${text.slice(0, 2)}******`;
|
|
||||||
return `${text.slice(0, 4)}${'*'.repeat(Math.min(10, text.length - 8))}${text.slice(-4)}`;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** HH:mm（00:00 ~ 23:59）；非法输入退回默认 09:10，不抛错（避免把定时任务配挂） */
|
|
||||||
function normalizeSendTime(value) {
|
|
||||||
const text = normalizeText(value, 5);
|
|
||||||
if (/^([01]\d|2[0-3]):[0-5]\d$/.test(text)) return text;
|
|
||||||
return DEFAULT_SEND_TIME;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 明细条数：0 = 只发汇总不带明细；上限 50（再多多半会被钉钉截断） */
|
|
||||||
function normalizeMaxDetailRows(value) {
|
|
||||||
const num = Number(value);
|
|
||||||
if (!Number.isFinite(num)) return DEFAULT_MAX_DETAIL_ROWS;
|
|
||||||
return Math.max(0, Math.min(MAX_DETAIL_ROWS_LIMIT, Math.round(num)));
|
|
||||||
}
|
|
||||||
|
|
||||||
function normalizePageUrl(value) {
|
|
||||||
const text = normalizeText(value, 1024);
|
|
||||||
if (!text) return DEFAULT_PAGE_URL;
|
|
||||||
try {
|
|
||||||
const url = new URL(text);
|
|
||||||
if (!/^https?:$/.test(url.protocol)) return DEFAULT_PAGE_URL;
|
|
||||||
return url.toString();
|
|
||||||
} catch (_error) {
|
|
||||||
return DEFAULT_PAGE_URL;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
function normalizeBoolean(value, fallback = false) {
|
|
||||||
if (value === undefined || value === null || value === '') return fallback;
|
|
||||||
if (typeof value === 'boolean') return value;
|
|
||||||
const text = String(value).trim().toLowerCase();
|
|
||||||
if (['1', 'true', 'yes', 'on'].includes(text)) return true;
|
|
||||||
if (['0', 'false', 'no', 'off'].includes(text)) return false;
|
|
||||||
return fallback;
|
|
||||||
}
|
|
||||||
|
|
||||||
function splitSendTime(sendTime) {
|
|
||||||
const [hour, minute] = normalizeSendTime(sendTime).split(':').map((part) => Number(part));
|
|
||||||
return { hour, minute };
|
|
||||||
}
|
|
||||||
|
|
||||||
async function upsertConfigRow(value) {
|
|
||||||
const rows = await database.local.query(
|
|
||||||
'SELECT id FROM system_config WHERE config_key = ? LIMIT 1',
|
|
||||||
[CONFIG_KEY]
|
|
||||||
);
|
|
||||||
const text = JSON.stringify(value);
|
|
||||||
if (rows[0]) {
|
|
||||||
await database.local.query(
|
|
||||||
'UPDATE system_config SET config_value = ?, config_type = ? WHERE config_key = ?',
|
|
||||||
[text, 'json', CONFIG_KEY]
|
|
||||||
);
|
|
||||||
} else {
|
|
||||||
await database.local.insert('system_config', {
|
|
||||||
config_key: CONFIG_KEY,
|
|
||||||
config_value: text,
|
|
||||||
config_type: 'json',
|
|
||||||
});
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
async function readConfigRow() {
|
|
||||||
try {
|
|
||||||
const rows = await database.local.query(
|
|
||||||
'SELECT config_value AS configValue FROM system_config WHERE config_key = ? LIMIT 1',
|
|
||||||
[CONFIG_KEY]
|
|
||||||
);
|
|
||||||
return safeJsonParse(rows[0]?.configValue, {});
|
|
||||||
} catch (error) {
|
|
||||||
console.warn('[WleNotify] 读取推送配置失败:', error.message);
|
|
||||||
return {};
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 运行期配置（含明文加签密钥）—— 只给服务端用，不要直接回给前端 */
|
|
||||||
async function getWarehouseLogisticsExceptionNotifyRuntimeConfig({ forceRefresh = false } = {}) {
|
|
||||||
if (!forceRefresh && cachedConfig && Date.now() - cachedAt < CACHE_TTL_MS) return { ...cachedConfig };
|
|
||||||
|
|
||||||
const stored = await readConfigRow();
|
|
||||||
const secret = await getResilientSecret(SECRET_KEY, {
|
|
||||||
legacyValues: [normalizeText(stored.webhookSecret || stored.webhook_secret, 512)],
|
|
||||||
fallbackValues: [normalizeText(process.env.WLE_NOTIFY_DINGTALK_WEBHOOK_SECRET, 512)],
|
|
||||||
});
|
|
||||||
|
|
||||||
cachedConfig = {
|
|
||||||
enabled: normalizeBoolean(stored.enabled, false),
|
|
||||||
webhookUrl: normalizeText(stored.webhookUrl || stored.webhook_url, 1024)
|
|
||||||
|| normalizeText(process.env.WLE_NOTIFY_DINGTALK_WEBHOOK, 1024),
|
|
||||||
webhookSecret: secret.value,
|
|
||||||
webhookSecretSource: secret.source,
|
|
||||||
sendTime: normalizeSendTime(stored.sendTime || stored.send_time),
|
|
||||||
maxDetailRows: normalizeMaxDetailRows(stored.maxDetailRows ?? stored.max_detail_rows),
|
|
||||||
atAll: normalizeBoolean(stored.atAll ?? stored.at_all, false),
|
|
||||||
pageUrl: normalizePageUrl(stored.pageUrl || stored.page_url),
|
|
||||||
source: Object.keys(stored).length > 0 ? 'database' : 'default',
|
|
||||||
};
|
|
||||||
cachedAt = Date.now();
|
|
||||||
return { ...cachedConfig };
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 加签密钥是**可选**的（安全设置用「关键词」或「IP 白名单」时不需要）*/
|
|
||||||
function missingFields(config = {}) {
|
|
||||||
const missing = [];
|
|
||||||
if (!normalizeText(config.webhookUrl)) missing.push('Webhook 地址');
|
|
||||||
return missing;
|
|
||||||
}
|
|
||||||
|
|
||||||
function isWarehouseLogisticsExceptionNotifyReady(config = {}) {
|
|
||||||
return missingFields(config).length === 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
function toAdminConfig(config = {}) {
|
|
||||||
return {
|
|
||||||
enabled: config.enabled === true,
|
|
||||||
webhookUrl: config.webhookUrl || '',
|
|
||||||
webhookSecretConfigured: Boolean(config.webhookSecret),
|
|
||||||
webhookSecretPreview: maskSecret(config.webhookSecret),
|
|
||||||
webhookSecretSource: config.webhookSecretSource || 'unconfigured',
|
|
||||||
sendTime: normalizeSendTime(config.sendTime),
|
|
||||||
maxDetailRows: normalizeMaxDetailRows(config.maxDetailRows),
|
|
||||||
maxDetailRowsLimit: MAX_DETAIL_ROWS_LIMIT,
|
|
||||||
atAll: config.atAll === true,
|
|
||||||
pageUrl: normalizePageUrl(config.pageUrl),
|
|
||||||
ready: isWarehouseLogisticsExceptionNotifyReady(config),
|
|
||||||
missingFields: missingFields(config),
|
|
||||||
source: config.source || 'default',
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
async function getWarehouseLogisticsExceptionNotifyAdminConfig() {
|
|
||||||
const config = await getWarehouseLogisticsExceptionNotifyRuntimeConfig({ forceRefresh: true });
|
|
||||||
return toAdminConfig(config);
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 保存配置。加签密钥留空 = 保持不变（页面上只显示掩码，不要求每次重填）；
|
|
||||||
* 想清空加签密钥传 `clearWebhookSecret: true`（切回「关键词」安全设置时用）。
|
|
||||||
* 只有 enabled=true 时才强制校验 webhook 齐全 —— 允许先存「关着但填了一半」的草稿。
|
|
||||||
*/
|
|
||||||
async function saveWarehouseLogisticsExceptionNotifyConfig(input = {}) {
|
|
||||||
const current = await getWarehouseLogisticsExceptionNotifyRuntimeConfig({ forceRefresh: true });
|
|
||||||
const nextSecret = normalizeText(input.webhookSecret || input.webhook_secret, 512);
|
|
||||||
const clearSecret = input.clearWebhookSecret === true || input.clear_webhook_secret === true;
|
|
||||||
|
|
||||||
const config = {
|
|
||||||
enabled: normalizeBoolean(input.enabled, current.enabled),
|
|
||||||
webhookUrl: normalizeText(input.webhookUrl || input.webhook_url, 1024) || current.webhookUrl,
|
|
||||||
webhookSecret: clearSecret ? '' : (nextSecret || current.webhookSecret),
|
|
||||||
sendTime: input.sendTime === undefined && input.send_time === undefined
|
|
||||||
? normalizeSendTime(current.sendTime)
|
|
||||||
: normalizeSendTime(input.sendTime ?? input.send_time),
|
|
||||||
maxDetailRows: input.maxDetailRows === undefined && input.max_detail_rows === undefined
|
|
||||||
? normalizeMaxDetailRows(current.maxDetailRows)
|
|
||||||
: normalizeMaxDetailRows(input.maxDetailRows ?? input.max_detail_rows),
|
|
||||||
atAll: normalizeBoolean(input.atAll ?? input.at_all, current.atAll === true),
|
|
||||||
pageUrl: input.pageUrl === undefined && input.page_url === undefined
|
|
||||||
? normalizePageUrl(current.pageUrl)
|
|
||||||
: normalizePageUrl(input.pageUrl ?? input.page_url),
|
|
||||||
};
|
|
||||||
|
|
||||||
if (config.enabled) {
|
|
||||||
const missing = missingFields(config);
|
|
||||||
if (missing.length) {
|
|
||||||
throw Object.assign(new Error(`开启推送前请先填完整：${missing.join(' / ')}`), { status: 400 });
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
if (config.webhookUrl) {
|
|
||||||
// 这里只做「像不像」的浅校验；真正的连通性由「测试推送」按钮验证
|
|
||||||
const { normalizeWebhookUrl } = require('./dingtalkRobotWebhookSender');
|
|
||||||
try {
|
|
||||||
config.webhookUrl = normalizeWebhookUrl(config.webhookUrl);
|
|
||||||
} catch (error) {
|
|
||||||
throw Object.assign(new Error(error.message), { status: 400 });
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
if (nextSecret) await saveResilientSecret(SECRET_KEY, nextSecret);
|
|
||||||
await upsertConfigRow({
|
|
||||||
enabled: config.enabled,
|
|
||||||
webhookUrl: config.webhookUrl,
|
|
||||||
sendTime: config.sendTime,
|
|
||||||
maxDetailRows: config.maxDetailRows,
|
|
||||||
atAll: config.atAll,
|
|
||||||
pageUrl: config.pageUrl,
|
|
||||||
updatedAt: new Date().toISOString(),
|
|
||||||
});
|
|
||||||
|
|
||||||
cachedConfig = {
|
|
||||||
...config,
|
|
||||||
webhookSecretSource: nextSecret ? 'database' : (clearSecret ? 'unconfigured' : (current.webhookSecretSource || 'database')),
|
|
||||||
source: 'database',
|
|
||||||
};
|
|
||||||
cachedAt = Date.now();
|
|
||||||
return toAdminConfig(cachedConfig);
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 上次推送结果（页面展示 + 定时任务用来判断「今天是不是已经推过」） */
|
|
||||||
async function loadWarehouseLogisticsExceptionNotifyState() {
|
|
||||||
try {
|
|
||||||
const rows = await database.local.query(
|
|
||||||
'SELECT config_value AS configValue FROM system_config WHERE config_key = ? LIMIT 1',
|
|
||||||
[STATE_KEY]
|
|
||||||
);
|
|
||||||
const state = safeJsonParse(rows[0]?.configValue, {});
|
|
||||||
return state && typeof state === 'object' ? state : {};
|
|
||||||
} catch (error) {
|
|
||||||
console.warn('[WleNotify] 读取推送状态失败:', error.message);
|
|
||||||
return {};
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
async function saveWarehouseLogisticsExceptionNotifyState(next = {}) {
|
|
||||||
const value = JSON.stringify(next && typeof next === 'object' ? next : {});
|
|
||||||
try {
|
|
||||||
const rows = await database.local.query(
|
|
||||||
'SELECT id FROM system_config WHERE config_key = ? LIMIT 1',
|
|
||||||
[STATE_KEY]
|
|
||||||
);
|
|
||||||
if (rows[0]) {
|
|
||||||
await database.local.query(
|
|
||||||
'UPDATE system_config SET config_value = ?, config_type = ? WHERE config_key = ?',
|
|
||||||
[value, 'json', STATE_KEY]
|
|
||||||
);
|
|
||||||
} else {
|
|
||||||
await database.local.insert('system_config', {
|
|
||||||
config_key: STATE_KEY,
|
|
||||||
config_value: value,
|
|
||||||
config_type: 'json',
|
|
||||||
});
|
|
||||||
}
|
|
||||||
} catch (error) {
|
|
||||||
console.warn('[WleNotify] 保存推送状态失败:', error.message);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
function clearNotifyConfigCache() {
|
|
||||||
cachedConfig = null;
|
|
||||||
cachedAt = 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
CONFIG_KEY,
|
|
||||||
DEFAULT_MAX_DETAIL_ROWS,
|
|
||||||
DEFAULT_PAGE_URL,
|
|
||||||
DEFAULT_SEND_TIME,
|
|
||||||
MAX_DETAIL_ROWS_LIMIT,
|
|
||||||
SECRET_KEY,
|
|
||||||
STATE_KEY,
|
|
||||||
clearNotifyConfigCache,
|
|
||||||
getWarehouseLogisticsExceptionNotifyAdminConfig,
|
|
||||||
getWarehouseLogisticsExceptionNotifyRuntimeConfig,
|
|
||||||
isWarehouseLogisticsExceptionNotifyReady,
|
|
||||||
loadWarehouseLogisticsExceptionNotifyState,
|
|
||||||
maskSecret,
|
|
||||||
missingFields,
|
|
||||||
normalizeMaxDetailRows,
|
|
||||||
normalizePageUrl,
|
|
||||||
normalizeSendTime,
|
|
||||||
saveWarehouseLogisticsExceptionNotifyConfig,
|
|
||||||
saveWarehouseLogisticsExceptionNotifyState,
|
|
||||||
splitSendTime,
|
|
||||||
toAdminConfig,
|
|
||||||
};
|
|
||||||
@ -1,388 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓储中心物流转运异常（2026-10-21 新增）
|
|
||||||
* ────────────────────────────────────────────────────────────────────────────
|
|
||||||
* 需求（yanhui 2026-10-21）：
|
|
||||||
* 在左侧栏加一栏「仓储中心物流转运异常」（放在「仓储中心 24 小时发货时效」下面），
|
|
||||||
* 下属 12 个发货仓：
|
|
||||||
* 横林二仓 / 横林三仓 / 横林二仓品牌仓 / 崔桥工厂仓 / 崔桥工厂品牌仓 /
|
|
||||||
* 崔桥工厂半成品包装项目仓 / 新苏北仓 / 睢宁仓 / 山东青岗集仓 / 山东品牌仓 /
|
|
||||||
* 山东青岗集唯品仓 / 河南洛宁仓
|
|
||||||
* 核验规则：**当日 09:00 核验前一日已发货订单的物流记录** ——
|
|
||||||
* 昨天发了货，到今天早上 9 点物流还没有正常轨迹（没揽收 / 没物流单 / 快递报异常 /
|
|
||||||
* 被退回 / 揽收后长时间无新轨迹），就是「物流转运异常」，按仓归口。
|
|
||||||
*
|
|
||||||
* ── 数据源 ────────────────────────────────────────────────────────────────
|
|
||||||
* `rpt.jst_order_express_details`（聚水潭订单状态镜像，402 万行，视图）
|
|
||||||
* 这是一张「订单 + 物流」合并的宽表，一单多包裹会有多行（按 logistic_id 区分）。
|
|
||||||
* 本页用到的列：
|
|
||||||
* send_time 发货时间（聚水潭回传）
|
|
||||||
* logistic_status_name 物流状态：已签收 / 运输中 / 派送中 / 已揽收 /
|
|
||||||
* 未揽收 / 无物流单 / 异常 / 拒收 / 其他
|
|
||||||
* logistic_time 最后一条物流轨迹时间
|
|
||||||
* last_logistic_info 最后一条轨迹描述（nvarchar 6000，SQL 里截 300 字）
|
|
||||||
* query_time ETL 快照时间（每行最后一次被刷新的时刻）
|
|
||||||
* ⚠️ 别用 `logistic_time_to_now_h` 判「停滞」：那是相对**查询时刻**算的，
|
|
||||||
* 而本页的核验基准是**核验日的 09:00**（回看历史批次时会飘），统一在 Node 侧按
|
|
||||||
* `logistic_time → deadline` 重算。
|
|
||||||
*
|
|
||||||
* ── 异常判定（2026-10-21 定版 · 二次收敛）────────────────────────────────
|
|
||||||
* 业务口径：「统计的是**未揽收**和**已揽收、但没有下一步中转记录**的」，
|
|
||||||
* 「有『运输』字样的，往后中转记录不考核」。
|
|
||||||
* `NO_TRACKING` 无物流单 —— 发了货但没生成运单号（打单环节漏了）
|
|
||||||
* `NOT_PICKED` 未揽收 —— 到核验时刻快递还没揽收
|
|
||||||
* `PICKED_NO_TRANSIT` 已揽收未中转 —— 揽收后没有下一步中转/运输记录，卡在网点
|
|
||||||
* `CARRIER_EXCEPTION` 快递报异常 —— 状态=异常（寄件人取消寄件、异常签收等）
|
|
||||||
* `RETURNED` 退回 —— 状态=拒收，或「其他」（实测基本是「换单退回」）
|
|
||||||
* 已签收 / 运输中 / 派送中 → 正常，不进列表。
|
|
||||||
* 🔥 原来那套「揽收后 24h 无新轨迹 = 运输停滞」已**废弃**：
|
|
||||||
* 干线与中转轨迹本来就不回传聚水潭，按 24h 判全是假异常。
|
|
||||||
*
|
|
||||||
* ── 仓库归属 ──────────────────────────────────────────────────────────────
|
|
||||||
* 与「24 小时发货时效」同一套：按仓库名关键词**最长匹配**归主仓，子仓自动并入；
|
|
||||||
* 「京仓-横林二仓京东云仓」业务指定排除（与发货时效页保持一致）。
|
|
||||||
* 山东青岗集唯品仓的关键词必须比「山东青岗集」更长，否则会被青岗集仓抢走。
|
|
||||||
*
|
|
||||||
* ── 时区 ──────────────────────────────────────────────────────────────────
|
|
||||||
* 🔥 生产容器是 `Etc/UTC`，DB 的 `GETDATE()` 是北京时间 —— 详见
|
|
||||||
* warehouseShipTimelinessRegistry.beijingNow() 的说明。
|
|
||||||
* 本模块一律用 `beijingNow()` 取「今天」，**不要**直接 `new Date()`。
|
|
||||||
*
|
|
||||||
* ── 批次 ──────────────────────────────────────────────────────────────────
|
|
||||||
* 「核验批次」= 核验日 + 发货日（核验日的前一天）。
|
|
||||||
* 默认：现在已过 09:00 → 今天这批（核验昨天发货）；未到 09:00 → 昨天那批。
|
|
||||||
* 可回看近 30 天。
|
|
||||||
* ⚠️ 历史批次是**按当前物流快照重算**的 —— 昨天是异常、今天已经签收的单，
|
|
||||||
* 回看时会显示成正常。页面会明确标注，别拿它当「当时的留档」。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const BEIJING_OFFSET_MINUTES = 480;
|
|
||||||
|
|
||||||
// ── 12 个发货仓（业务给定，顺序即展示顺序）────────────────────────────────
|
|
||||||
const CENTERS = Object.freeze([
|
|
||||||
{ key: 'HL2', name: '横林二仓', keywords: ['横林二仓'] },
|
|
||||||
{ key: 'HL3', name: '横林三仓', keywords: ['横林三仓'] },
|
|
||||||
{ key: 'HL2_BRAND', name: '横林二仓品牌仓', keywords: ['横林二仓品牌仓'] },
|
|
||||||
{ key: 'CQ', name: '崔桥工厂仓', keywords: ['崔桥工厂仓'] },
|
|
||||||
{ key: 'CQ_BRAND', name: '崔桥工厂品牌仓', keywords: ['崔桥工厂品牌仓'] },
|
|
||||||
{ key: 'CQ_WIP', name: '崔桥工厂半成品包装项目仓', keywords: ['崔桥工厂半成品'] },
|
|
||||||
{ key: 'XSB', name: '新苏北仓', keywords: ['新苏北'] },
|
|
||||||
{ key: 'SN', name: '睢宁仓', keywords: ['睢宁'] },
|
|
||||||
{ key: 'SD_QGJ', name: '山东青岗集仓', keywords: ['山东青岗集'] },
|
|
||||||
{ key: 'SD_BRAND', name: '山东品牌仓', keywords: ['山东品牌'] },
|
|
||||||
// 🔥 关键词要比「山东青岗集」长，否则「简尚-山东青岗集仓唯品仓」会被青岗集仓抢走
|
|
||||||
{ key: 'SD_QGJ_VIP', name: '山东青岗集唯品仓', keywords: ['山东青岗集仓唯品', '山东青岗集唯品'] },
|
|
||||||
{ key: 'HN_LN', name: '河南洛宁仓', keywords: ['河南洛宁'] },
|
|
||||||
]);
|
|
||||||
|
|
||||||
// 业务指定排除：京仓（平台仓）不算自营发货仓的考核范围（与发货时效页一致）
|
|
||||||
const EXCLUDED_WAREHOUSE_KEYWORDS = Object.freeze(['京仓-横林二仓京东云仓']);
|
|
||||||
|
|
||||||
// ── 不参与考核的承运商（业务 2026-10-21 指定）──────────────────────────────
|
|
||||||
// 判据 = 状态表 `logistic_company_name` **包含**关键词（不区分大小写）。
|
|
||||||
// 🔥 「武进安能」**不能**泛化成「安能」：12 仓另有「常州安能新」3383 单/30 天，
|
|
||||||
// 那是要正常考核的承运商，泛化会把整片正常单误剔。
|
|
||||||
// 🔥 「中铁」「壹米滴答」这类专线物流**轨迹不回传聚水潭**，实测近 30 天
|
|
||||||
// 中铁物流 104 单 100% 报「异常」、壹米滴答 33 单 100% 报「异常」、
|
|
||||||
// 唯品顺丰 2510 单 2500 单报「异常」（99.6%）—— 全是假异常，必须剔。
|
|
||||||
// 「自提」「线下」当前 12 仓实测 0 单（历史/其它仓才有），保留判定防止以后出现。
|
|
||||||
// 🔥 「京喜京东」（含 `京喜京东快递` / `京喜京东快运`）是京喜自营那条线，
|
|
||||||
// 实测山东青岗集仓的京喜单揽收后轨迹全停在站点、不回传聚水潭，
|
|
||||||
// 近 30 天 62 单「已揽收未中转」全出自这里 —— 业务 2026-10-21 指定剔除。
|
|
||||||
// 只按「京喜京东」前缀剔：`京东自营快递亿家达` / `崔桥京东特惠` / `曹县京东快运`
|
|
||||||
// 是另外的账号，正常回传轨迹，不能连带剔掉。
|
|
||||||
// ⚠️ 2026-10-22 业务一度要求「凡是带京东快递、京喜的都踢出」，随即**撤回该要求** ——
|
|
||||||
// 所以这里维持只剔「京喜京东」，别把关键词放大成「京东」。
|
|
||||||
const EXCLUDED_CARRIERS = Object.freeze([
|
|
||||||
// 🔥 顺丰系**全部剔除**（业务 2026-10-22 定版）：
|
|
||||||
// 实测 12 仓近 30 天顺丰系共 7 个账号 —— `唯品顺丰` / `顺丰干配`（洛宁、山东、苏北大小件）/
|
|
||||||
// `山东顺丰大件` / `景瓴十方顺丰大件-莒南`，轨迹都不按常规回传聚水潭
|
|
||||||
// （唯品顺丰 99.6% 报异常、顺丰干配 52% 报未揽收、山东顺丰大件 67% 报未揽收）。
|
|
||||||
// 所以这里直接用「顺丰」一个关键词全覆盖，**不再逐个列账号**。
|
|
||||||
// 保留 `唯品顺丰` 在更前面：命中时 reason 更具体，页脚能看出是唯品那条线。
|
|
||||||
'唯品顺丰',
|
|
||||||
'顺丰',
|
|
||||||
'武进安能',
|
|
||||||
'中铁',
|
|
||||||
'壹米滴答',
|
|
||||||
'自提',
|
|
||||||
'线下',
|
|
||||||
'商家配送',
|
|
||||||
// 京东系只剔「京喜京东」（京喜自营那条线，揽收后轨迹停在站点不回传）。
|
|
||||||
// ⚠️ 别放大成「京东」：`京东快递` / `京东自营快递亿家达` / `京东自营快递朴美` /
|
|
||||||
// `崔桥京东特惠` / `曹县京东快运` 等 16 个账号业务确认仍要正常考核
|
|
||||||
// （2026-10-22 曾短暂要求全剔，随即撤回）。
|
|
||||||
'京喜京东',
|
|
||||||
]);
|
|
||||||
|
|
||||||
// ── 有条件剔除：同一承运商，只在某些仓算正常（业务 2026-10-21 追加）────────
|
|
||||||
// 「睢宁中通」是全公司唯一的中通面单账号，开在睢宁网点。
|
|
||||||
// · 睢宁仓自己用 → 正常揽收、轨迹完整，**照常考核**；
|
|
||||||
// · 山东品牌仓 / 河南洛宁仓 / 崔桥工厂仓 异地用它打单 → 揽收不畅，
|
|
||||||
// 近 30 天非睢宁仓 490 单里 163 单「未揽收」（33%），全是账号异地揽收造成的假异常。
|
|
||||||
// 所以：`keepCenterKeys` 里的仓照常考核，其它仓命中即剔除。
|
|
||||||
const CONDITIONAL_EXCLUDED_CARRIERS = Object.freeze([
|
|
||||||
{
|
|
||||||
keyword: '睢宁中通',
|
|
||||||
keepCenterKeys: ['SN'],
|
|
||||||
reason: '睢宁中通（非睢宁仓异地揽收）',
|
|
||||||
},
|
|
||||||
]);
|
|
||||||
|
|
||||||
// ── 已终止的订单不算转运异常（业务 2026-10-21 指定）──────────────────────
|
|
||||||
// ① 订单状态：状态表 `order_status_name` 实测只有「已发货 / 已取消」两个值，
|
|
||||||
// 「已取消」在近 30 天 12 仓里 8 单，其中 6 单会误报未揽收/无物流单。
|
|
||||||
const EXCLUDED_ORDER_STATUS_KEYWORDS = Object.freeze(['取消', '作废']);
|
|
||||||
|
|
||||||
// ② 订单标签：`order_labels`（JSON 数组字符串）
|
|
||||||
// · 「发货后取消」= 客户已申请退款取消，货在路上但不用再跟物流
|
|
||||||
// · 「作废」= 单据作废
|
|
||||||
// · 「拦截」= 买家/客服要求拦截（实测标签为「留言备注拦截」）
|
|
||||||
// ⚠️ 别把「取消」直接当关键词匹配标签：会连带「取消预售」等无关标签。
|
|
||||||
const EXCLUDED_ORDER_LABEL_KEYWORDS = Object.freeze([
|
|
||||||
'发货后取消',
|
|
||||||
'作废',
|
|
||||||
'拦截',
|
|
||||||
]);
|
|
||||||
|
|
||||||
// ── 刷单 / 信誉单不算转运异常（业务 2026-10-21 追加）──────────────────────
|
|
||||||
// 判据 = 状态表 `order_labels` 里的**订单类型标签**（不是状态、不是备注）：
|
|
||||||
// · 含「刷单」 = 刷单待处理 → 假发货，本来就不会真揽收
|
|
||||||
// · 含「转空包」= 信誉单（信誉订单仓那批单都带这个标签，发空包不走真货）
|
|
||||||
// 实测（近 30 天 12 仓）：带「刷单」411 单，其中 148 单报未揽收 —— 全是假异常；
|
|
||||||
// 带「转空包」0 单（都在「简尚-信誉订单仓」，那本来不在 12 个考核仓里）。
|
|
||||||
// ⚠️ 别用「特殊单」当判据：它和补差价/配件单混在一起，剔了会漏掉真异常。
|
|
||||||
const EXCLUDED_ORDER_TYPE_LABELS = Object.freeze([
|
|
||||||
{ keyword: '刷单', label: '刷单' },
|
|
||||||
{ keyword: '转空包', label: '信誉单' },
|
|
||||||
]);
|
|
||||||
|
|
||||||
// 关键词按长度倒序 —— 「最长匹配优先」，品牌仓/唯品仓不会被主仓抢走
|
|
||||||
const SORTED_KEYWORDS = CENTERS
|
|
||||||
.flatMap((center) => center.keywords.map((kw) => ({ kw, center })))
|
|
||||||
.sort((a, b) => b.kw.length - a.kw.length);
|
|
||||||
|
|
||||||
// ── 核验时刻 ──────────────────────────────────────────────────────────────
|
|
||||||
const VERIFY_HOUR = 9;
|
|
||||||
const LOOKBACK_DAYS = 30;
|
|
||||||
|
|
||||||
// ── 异常类型（2026-10-21 二次定版：只看「揽收前」的两个卡点）───────────────
|
|
||||||
// 业务原话：「这里的物流异常统计的是未揽收和已揽收、但是没有下一步中转记录的」，
|
|
||||||
// 以及「有『运输』字样的，往后中转记录不考核，不属于物流异常」。
|
|
||||||
// 所以：运输中 / 派送中 / 已签收 **一律正常**，不再用「24h 无新轨迹」判停滞
|
|
||||||
// （干线/中转轨迹本来就不回传，按 24h 判只会刷屏）。
|
|
||||||
// label 必须**自带结论**（业务要求「写上是什么异常」），不要只写「物流异常」这种笼统词。
|
|
||||||
const EXCEPTION_TYPES = Object.freeze([
|
|
||||||
{
|
|
||||||
key: 'NO_TRACKING',
|
|
||||||
label: '无物流单',
|
|
||||||
tone: 'red',
|
|
||||||
desc: '已发货但连运单号都没有 —— 打单/推单环节就没生成物流单',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'NOT_PICKED',
|
|
||||||
label: '未揽收',
|
|
||||||
tone: 'orange',
|
|
||||||
desc: '有运单号，到核验时刻快递还没上门揽收',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'PICKED_NO_TRANSIT',
|
|
||||||
label: '已揽收未中转',
|
|
||||||
tone: 'gold',
|
|
||||||
desc: '快递已揽收，但之后没有下一步中转/运输记录 —— 卡在网点没发出去',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'CARRIER_EXCEPTION',
|
|
||||||
label: '快递报异常',
|
|
||||||
tone: 'red',
|
|
||||||
desc: '快递回传「异常」（寄件人取消寄件、异常签收等），需要人工介入',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'RETURNED',
|
|
||||||
label: '退回',
|
|
||||||
tone: 'volcano',
|
|
||||||
desc: '拒收，或包裹已「换单退回」',
|
|
||||||
},
|
|
||||||
]);
|
|
||||||
|
|
||||||
// 「已经动起来了」的轨迹关键词：状态停在「已揽收」但最后一条轨迹里已经出现
|
|
||||||
// 运输/中转/发往等字样 —— 说明有下一步中转记录，按业务口径**不算异常**。
|
|
||||||
const TRANSIT_INFO_KEYWORDS = Object.freeze(['运输', '中转', '发往', '已发出', '分拨', '干线']);
|
|
||||||
|
|
||||||
const TYPE_MAP = new Map(EXCEPTION_TYPES.map((t) => [t.key, t]));
|
|
||||||
|
|
||||||
function pad2(n) {
|
|
||||||
return String(n).padStart(2, '0');
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 取「按北京时间读出来」的当前时刻（容器可能跑在 UTC）。
|
|
||||||
* @param {Date} [base]
|
|
||||||
* @returns {Date} 本地 getter 读出来正好是北京时间的 Date
|
|
||||||
*/
|
|
||||||
function beijingNow(base = new Date()) {
|
|
||||||
const shift = BEIJING_OFFSET_MINUTES + base.getTimezoneOffset();
|
|
||||||
return shift === 0 ? base : new Date(base.getTime() + shift * 60 * 1000);
|
|
||||||
}
|
|
||||||
|
|
||||||
function formatDate(date) {
|
|
||||||
return `${date.getFullYear()}-${pad2(date.getMonth() + 1)}-${pad2(date.getDate())}`;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 'YYYY-MM-DD' → 当日 00:00 的 Date（本地，不做时区换算） */
|
|
||||||
function parseDate(text) {
|
|
||||||
const m = /^(\d{4})-(\d{2})-(\d{2})$/u.exec(String(text || '').trim());
|
|
||||||
if (!m) return null;
|
|
||||||
const d = new Date(Number(m[1]), Number(m[2]) - 1, Number(m[3]), 0, 0, 0);
|
|
||||||
return Number.isNaN(d.getTime()) ? null : d;
|
|
||||||
}
|
|
||||||
|
|
||||||
function addDays(date, days) {
|
|
||||||
return new Date(date.getFullYear(), date.getMonth(), date.getDate() + days, 0, 0, 0);
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 仓库名 → 主仓；被排除或无法归属返回 null */
|
|
||||||
function resolveCenter(warehouseName) {
|
|
||||||
if (!warehouseName) return null;
|
|
||||||
const name = String(warehouseName);
|
|
||||||
for (const kw of EXCLUDED_WAREHOUSE_KEYWORDS) {
|
|
||||||
if (name.includes(kw)) return null;
|
|
||||||
}
|
|
||||||
for (const item of SORTED_KEYWORDS) {
|
|
||||||
if (name.includes(item.kw)) return item.center;
|
|
||||||
}
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 承运商是否不参与考核。
|
|
||||||
* @param {string} companyName 状态表 `logistic_company_name`
|
|
||||||
* @param {string} [centerKey] 该行所属仓（CONDITIONAL_EXCLUDED_CARRIERS 用）；
|
|
||||||
* 不传时**保守不剔** —— 宁可少剔，不能把本仓正常单误剔
|
|
||||||
* @returns {string|null} 命中原因/关键词；不剔除返回 null
|
|
||||||
*/
|
|
||||||
function matchExcludedCarrier(companyName, centerKey) {
|
|
||||||
const name = String(companyName || '');
|
|
||||||
if (!name) return null;
|
|
||||||
|
|
||||||
// ① 无条件剔除
|
|
||||||
for (const kw of EXCLUDED_CARRIERS) {
|
|
||||||
if (name.includes(kw)) return kw;
|
|
||||||
}
|
|
||||||
|
|
||||||
// ② 有条件剔除：只在该承运商「本仓」正常时才留（如睢宁中通 → 睢宁仓）
|
|
||||||
for (const rule of CONDITIONAL_EXCLUDED_CARRIERS) {
|
|
||||||
if (!name.includes(rule.keyword)) continue;
|
|
||||||
if (!centerKey) return null;
|
|
||||||
if (rule.keepCenterKeys.includes(centerKey)) return null;
|
|
||||||
return rule.reason;
|
|
||||||
}
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 订单是否已终止（已取消 / 作废 / 拦截），终止的不用跟物流。
|
|
||||||
* @param {string} orderStatus 状态表 `order_status_name`
|
|
||||||
* @param {string} orderLabels 状态表 `order_labels`（JSON 数组字符串）
|
|
||||||
* @returns {string|null} 命中原因（人话），不剔除返回 null
|
|
||||||
*/
|
|
||||||
function matchVoidedOrder(orderStatus, orderLabels) {
|
|
||||||
const status = String(orderStatus || '');
|
|
||||||
for (const kw of EXCLUDED_ORDER_STATUS_KEYWORDS) {
|
|
||||||
if (status.includes(kw)) return `订单${status}`;
|
|
||||||
}
|
|
||||||
const labels = String(orderLabels || '');
|
|
||||||
if (!labels) return null;
|
|
||||||
for (const kw of EXCLUDED_ORDER_LABEL_KEYWORDS) {
|
|
||||||
if (labels.includes(kw)) return `标签含「${kw}」`;
|
|
||||||
}
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 刷单 / 信誉单 → 不是真实发货，不用跟物流。
|
|
||||||
* @param {string} orderLabels 状态表 `order_labels`（JSON 数组字符串）
|
|
||||||
* @returns {string|null} 命中的人话原因；不剔除返回 null
|
|
||||||
*/
|
|
||||||
function matchNonRealOrder(orderLabels) {
|
|
||||||
const labels = String(orderLabels || '');
|
|
||||||
if (!labels) return null;
|
|
||||||
for (const item of EXCLUDED_ORDER_TYPE_LABELS) {
|
|
||||||
if (labels.includes(item.keyword)) {
|
|
||||||
return item.label === '刷单' ? '刷单' : '信誉单（转空包）';
|
|
||||||
}
|
|
||||||
}
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 解析「核验批次」。
|
|
||||||
*
|
|
||||||
* @param {string} [dateInput] 核验日 'YYYY-MM-DD'；不传按当前时刻自动判定
|
|
||||||
* @param {Date} [nowBase] 当前时刻（真实时刻，内部会转北京时间）
|
|
||||||
* @returns {object} 批次描述
|
|
||||||
*/
|
|
||||||
function resolveBatch(dateInput, nowBase = new Date()) {
|
|
||||||
const now = beijingNow(nowBase);
|
|
||||||
const today = new Date(now.getFullYear(), now.getMonth(), now.getDate(), 0, 0, 0);
|
|
||||||
|
|
||||||
let verifyDay = null;
|
|
||||||
if (dateInput) {
|
|
||||||
const parsed = parseDate(dateInput);
|
|
||||||
if (parsed) verifyDay = parsed;
|
|
||||||
}
|
|
||||||
if (!verifyDay) {
|
|
||||||
// 未到 09:00 时，今天的批次还没跑 → 默认看昨天那批（核验前日发货）
|
|
||||||
const beforeCheckpoint = now.getHours() < VERIFY_HOUR;
|
|
||||||
verifyDay = beforeCheckpoint ? addDays(today, -1) : today;
|
|
||||||
}
|
|
||||||
// 护栏：不能晚于今天，也不能早于回看下限
|
|
||||||
if (verifyDay > today) verifyDay = today;
|
|
||||||
const earliest = addDays(today, -LOOKBACK_DAYS + 1);
|
|
||||||
if (verifyDay < earliest) verifyDay = earliest;
|
|
||||||
|
|
||||||
const shipDay = addDays(verifyDay, -1);
|
|
||||||
const verifyDate = formatDate(verifyDay);
|
|
||||||
const shipDate = formatDate(shipDay);
|
|
||||||
const deadline = `${verifyDate} ${pad2(VERIFY_HOUR)}:00:00`;
|
|
||||||
const nowText = `${formatDate(now)} ${pad2(now.getHours())}:${pad2(now.getMinutes())}:${pad2(now.getSeconds())}`;
|
|
||||||
|
|
||||||
return {
|
|
||||||
verifyDate,
|
|
||||||
shipDate,
|
|
||||||
deadline,
|
|
||||||
windowStart: `${shipDate} 00:00:00`,
|
|
||||||
windowEnd: `${verifyDate} 00:00:00`,
|
|
||||||
label: `${verifyDate.slice(5)} 09:00 核验 · ${shipDate.slice(5)} 发货`,
|
|
||||||
started: nowText >= deadline,
|
|
||||||
isToday: verifyDate === formatDate(today),
|
|
||||||
lookback: verifyDate !== formatDate(today),
|
|
||||||
lookbackDays: Math.round((today - verifyDay) / 86400000),
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
CENTERS,
|
|
||||||
EXCLUDED_WAREHOUSE_KEYWORDS,
|
|
||||||
EXCLUDED_CARRIERS,
|
|
||||||
CONDITIONAL_EXCLUDED_CARRIERS,
|
|
||||||
EXCLUDED_ORDER_STATUS_KEYWORDS,
|
|
||||||
EXCLUDED_ORDER_LABEL_KEYWORDS,
|
|
||||||
EXCLUDED_ORDER_TYPE_LABELS,
|
|
||||||
EXCEPTION_TYPES,
|
|
||||||
TYPE_MAP,
|
|
||||||
TRANSIT_INFO_KEYWORDS,
|
|
||||||
VERIFY_HOUR,
|
|
||||||
LOOKBACK_DAYS,
|
|
||||||
resolveCenter,
|
|
||||||
matchExcludedCarrier,
|
|
||||||
matchVoidedOrder,
|
|
||||||
matchNonRealOrder,
|
|
||||||
resolveBatch,
|
|
||||||
beijingNow,
|
|
||||||
formatDate,
|
|
||||||
parseDate,
|
|
||||||
addDays,
|
|
||||||
pad2,
|
|
||||||
};
|
|
||||||
@ -1,493 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓储中心物流转运异常 —— 服务层
|
|
||||||
* ────────────────────────────────────────────────────────────────────────────
|
|
||||||
* 口径见 warehouseLogisticsExceptionRegistry.js 文件头。这里只讲实现要点：
|
|
||||||
*
|
|
||||||
* ① 一趟查询把「核验日前一天发货」的单全部取回来（窄列 + 轨迹截 300 字），
|
|
||||||
* Node 侧按仓库名归主仓、按物流状态判异常。实测：5400 行冷启动 ~20s、
|
|
||||||
* 热缓存 ~4s（视图谓词下推一般，走 querySlow 给足超时）。
|
|
||||||
* ② 一单多包裹会有多行（按 logistic_id 区分）——
|
|
||||||
* · 明细按 (内部单号 + 运单号) 去重，仓库能看到是哪个包裹出的问题；
|
|
||||||
* · 汇总按**内部单号**去重，否则 3 个包裹的单会被算成 3 单，异常率虚高。
|
|
||||||
* ③ 只判「揽收前」的两个卡点（未揽收 / 已揽收未中转），见 classify()。
|
|
||||||
* 运输中、派送中一律不考核，不再算 24h 停滞。
|
|
||||||
* ④ 结果缓存 5 分钟：页面 10 分钟自动刷一次，点「刷新」带 force=1 绕过。
|
|
||||||
*
|
|
||||||
* ── 剔除（业务 2026-10-21 定版）──────────────────────────────────────────────
|
|
||||||
* 剔掉的单**既不算异常、也不算发货分母**（否则异常率会被稀释/虚高）：
|
|
||||||
* a. 承运商 ∈ EXCLUDED_CARRIERS（顺丰系全部 / 武进安能 / 中铁 / 壹米滴答 / 自提 / 线下 /
|
|
||||||
* 商家配送 / 京喜京东）—— 轨迹不回传，留着全是假异常（顺丰系各账号 52%~99.6% 假异常，
|
|
||||||
* 中铁、壹米滴答近 30 天 100%）。「武进安能」必须精确，别泛化成「安能」。
|
|
||||||
* a2. 有条件剔除 CONDITIONAL_EXCLUDED_CARRIERS：**「睢宁中通」只在睢宁仓考核**，
|
|
||||||
* 其它仓异地用它打单的剔（近 30 天非睢宁仓 490 单里 163 单未揽收，全是账号异地揽收）。
|
|
||||||
* b. 订单已终止：order_status_name 含「取消/作废」，或 order_labels 含
|
|
||||||
* 「发货后取消 / 作废 / 拦截」—— 单据都终止了，不用再跟物流。
|
|
||||||
* c. 刷单（标签含「刷单」）/ 信誉单（标签含「转空包」）—— 单据本身不是真实发货。
|
|
||||||
* 各类剔除量通过 `exclusions.*` 原样返回，页面页脚展示，方便业务核对口径。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const cloudDatabase = require('../config/cloudDatabase');
|
|
||||||
const registry = require('./warehouseLogisticsExceptionRegistry');
|
|
||||||
|
|
||||||
const DEFAULT_DETAIL_LIMIT = 500;
|
|
||||||
// 列表上限 2000 条；导出单独放开到 5000（异常包裹一天最多几百，留足余量）
|
|
||||||
const MAX_DETAIL_LIMIT = 2000;
|
|
||||||
const EXPORT_DETAIL_LIMIT = 5000;
|
|
||||||
|
|
||||||
// 快照超过这么久没刷新 → 页面黄告警（这张表正常每小时刷一轮）
|
|
||||||
const SNAPSHOT_STALE_MINUTES = 120;
|
|
||||||
|
|
||||||
const CACHE_TTL_MS = Number(process.env.CANGKU_WLE_CACHE_TTL_MS) || 5 * 60 * 1000;
|
|
||||||
// key = `${verifyDate}|${limit}`。用 Map 而不是单槽缓存：
|
|
||||||
// 页面按 1000 条取、导出按 5000 条取，单槽会互相踢掉对方 —— 导出一次，
|
|
||||||
// 页面下次自动刷新就得重查库（20~40s）。多键缓存把这个问题消掉。
|
|
||||||
const CACHE_MAX_ENTRIES = 8;
|
|
||||||
const resultCache = new Map();
|
|
||||||
|
|
||||||
function clearLogisticsExceptionCache() {
|
|
||||||
resultCache.clear();
|
|
||||||
}
|
|
||||||
|
|
||||||
/** datetime / Date → 'YYYY-MM-DD HH:mm:ss'（东八区墙钟，不做时区换算） */
|
|
||||||
function formatDateTime(value) {
|
|
||||||
if (!value) return '';
|
|
||||||
if (value instanceof Date) {
|
|
||||||
if (Number.isNaN(value.getTime())) return '';
|
|
||||||
const p = (n) => String(n).padStart(2, '0');
|
|
||||||
return `${value.getFullYear()}-${p(value.getMonth() + 1)}-${p(value.getDate())}`
|
|
||||||
+ ` ${p(value.getHours())}:${p(value.getMinutes())}:${p(value.getSeconds())}`;
|
|
||||||
}
|
|
||||||
const s = String(value);
|
|
||||||
if (!s) return '';
|
|
||||||
return s.replace('T', ' ').replace(/\.\d+Z?$/, '').slice(0, 19);
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 两个时间文本相差多少分钟（to - from） */
|
|
||||||
function diffMinutes(fromText, toText) {
|
|
||||||
const a = formatDateTime(fromText);
|
|
||||||
const b = formatDateTime(toText);
|
|
||||||
if (!a || !b) return null;
|
|
||||||
const pa = new Date(a.replace(' ', 'T')).getTime();
|
|
||||||
const pb = new Date(b.replace(' ', 'T')).getTime();
|
|
||||||
if (!Number.isFinite(pa) || !Number.isFinite(pb)) return null;
|
|
||||||
return Math.round((pb - pa) / 60000);
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 按物流状态判异常类型（口径 2026-10-21 二次定版）。
|
|
||||||
*
|
|
||||||
* 只有两种「真异常」，其余状态一律不考核：
|
|
||||||
* · 没揽收 —— 状态停在「未揽收」（或压根没物流单）
|
|
||||||
* · 揽收了但没下一步中转 —— 状态停在「已揽收」，最后轨迹里也没有运输/中转字样
|
|
||||||
*
|
|
||||||
* 🔥 业务原话：「有『运输』字样的，往后中转记录不考核」——
|
|
||||||
* 所以 `运输中` / `派送中` **直接算正常**；不再用「距核验时刻 ≥24h 无新轨迹」
|
|
||||||
* 判停滞（干线、中转轨迹本就不回传聚水潭，按 24h 判全是假异常）。
|
|
||||||
*
|
|
||||||
* @returns {string|null} EXCEPTION_TYPES[].key；正常返回 null
|
|
||||||
*/
|
|
||||||
function classify(row) {
|
|
||||||
const status = String(row.logistic_status_name || '').trim();
|
|
||||||
const trackingNo = String(row.logistic_id || '').trim();
|
|
||||||
|
|
||||||
// 状态为空：有运单号但没轨迹 = 未揽收；连运单号都没有 = 无物流单
|
|
||||||
if (!status) return trackingNo ? 'NOT_PICKED' : 'NO_TRACKING';
|
|
||||||
|
|
||||||
if (status === '已签收' || status === '签收') return null;
|
|
||||||
if (status.includes('无物流')) return 'NO_TRACKING';
|
|
||||||
if (status.includes('未揽收')) return 'NOT_PICKED';
|
|
||||||
if (status.includes('拒收')) return 'RETURNED';
|
|
||||||
// 「其他」实测全是「包裹已换单退回」，和拒收同性质
|
|
||||||
if (status === '其他') return 'RETURNED';
|
|
||||||
if (status.includes('异常')) return 'CARRIER_EXCEPTION';
|
|
||||||
|
|
||||||
if (status.includes('已揽收')) {
|
|
||||||
// 揽收之后如果最后一条轨迹已经出现运输/中转/发往字样，就算「有下一步中转」
|
|
||||||
const info = String(row.last_info || row.last_logistic_info || '');
|
|
||||||
const moved = registry.TRANSIT_INFO_KEYWORDS.some((kw) => info.includes(kw));
|
|
||||||
return moved ? null : 'PICKED_NO_TRANSIT';
|
|
||||||
}
|
|
||||||
|
|
||||||
// 运输中 / 派送中（以及任何带「运输」字样的状态）= 已经动起来了，不考核
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 拼 SQL 的仓库名 LIKE 条件（关键词取自 CENTERS，避免手写两套名单） */
|
|
||||||
function buildWarehouseFilters() {
|
|
||||||
const keywords = [];
|
|
||||||
for (const center of registry.CENTERS) {
|
|
||||||
for (const kw of center.keywords) {
|
|
||||||
if (!keywords.includes(kw)) keywords.push(kw);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
const params = {};
|
|
||||||
const clauses = keywords.map((kw, i) => {
|
|
||||||
params[`w${i}`] = `%${kw}%`;
|
|
||||||
return `e.warehouse_name LIKE @w${i}`;
|
|
||||||
});
|
|
||||||
return { clauses, params, keywords };
|
|
||||||
}
|
|
||||||
|
|
||||||
async function loadShippedPackages(batch) {
|
|
||||||
const { clauses, params } = buildWarehouseFilters();
|
|
||||||
const rows = await cloudDatabase.querySlow(
|
|
||||||
`SELECT e.so_id, e.inner_order_id, e.shop_name, e.warehouse_name,
|
|
||||||
e.logistic_id, e.logistic_company_name, e.logistic_status_name,
|
|
||||||
e.order_status_name, e.order_labels,
|
|
||||||
e.send_time, e.logistic_time, e.query_time,
|
|
||||||
LEFT(ISNULL(e.last_logistic_info, ''), 300) AS last_info
|
|
||||||
FROM dbo.jst_order_express_details e
|
|
||||||
WHERE e.send_time >= @shipStart AND e.send_time < @shipEnd
|
|
||||||
AND (${clauses.join(' OR ')})`,
|
|
||||||
{ ...params, shipStart: batch.windowStart, shipEnd: batch.windowEnd },
|
|
||||||
// 视图谓词下推一般，冷启动 20s；普通池 60s 池级超时 + 重试会把耗时翻倍
|
|
||||||
{ connectRequestTimeoutMs: 300000 }
|
|
||||||
);
|
|
||||||
return rows || [];
|
|
||||||
}
|
|
||||||
|
|
||||||
function emptySummary() {
|
|
||||||
return {
|
|
||||||
shippedOrders: 0,
|
|
||||||
packageCount: 0,
|
|
||||||
exceptionOrders: 0,
|
|
||||||
exceptionPackages: 0,
|
|
||||||
exceptionRate: 0,
|
|
||||||
centerCount: 0,
|
|
||||||
byType: {},
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 剔除口径（前端页脚直接展示，别在页面里再写一份）。
|
|
||||||
* 两处返回（正常 / 未到核验时刻）共用，避免口径漂移。
|
|
||||||
*/
|
|
||||||
function exclusionMeta() {
|
|
||||||
return {
|
|
||||||
carriers: registry.EXCLUDED_CARRIERS,
|
|
||||||
// 有条件剔除：「睢宁中通」只在睢宁仓考核，其它仓异地打单的剔
|
|
||||||
conditionalCarriers: registry.CONDITIONAL_EXCLUDED_CARRIERS.map((r) => ({
|
|
||||||
keyword: r.keyword,
|
|
||||||
keepCenters: r.keepCenterKeys.map((key) => {
|
|
||||||
const center = registry.CENTERS.find((c) => c.key === key);
|
|
||||||
return center ? center.name : key;
|
|
||||||
}),
|
|
||||||
reason: r.reason,
|
|
||||||
})),
|
|
||||||
orderStatusKeywords: registry.EXCLUDED_ORDER_STATUS_KEYWORDS,
|
|
||||||
orderLabelKeywords: registry.EXCLUDED_ORDER_LABEL_KEYWORDS,
|
|
||||||
// 刷单 / 信誉单的标签判据
|
|
||||||
orderTypeLabels: registry.EXCLUDED_ORDER_TYPE_LABELS.map((t) => t.label),
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
async function getLogisticsExceptions(options = {}) {
|
|
||||||
const batch = registry.resolveBatch(options.date, options.now instanceof Date ? options.now : undefined);
|
|
||||||
// 明细上限：列表默认 2000；导出可显式放宽到 EXPORT_DETAIL_LIMIT（见 getLogisticsExceptionExportRows）
|
|
||||||
const limitCap = Math.min(
|
|
||||||
Math.max(Number(options.maxLimit) || MAX_DETAIL_LIMIT, 1),
|
|
||||||
EXPORT_DETAIL_LIMIT
|
|
||||||
);
|
|
||||||
const limit = Math.min(
|
|
||||||
Math.max(Number(options.limit) || DEFAULT_DETAIL_LIMIT, 1),
|
|
||||||
limitCap
|
|
||||||
);
|
|
||||||
const force = options.force === true || options.force === '1' || options.force === 1;
|
|
||||||
|
|
||||||
const generatedAt = formatDateTime(registry.beijingNow());
|
|
||||||
|
|
||||||
// 未到 09:00：本批次还没跑，不拿当前快照冒充「09:00 的结论」
|
|
||||||
if (!batch.started) {
|
|
||||||
return {
|
|
||||||
batch,
|
|
||||||
notStarted: true,
|
|
||||||
resolution: '09:00',
|
|
||||||
summary: emptySummary(),
|
|
||||||
centers: registry.CENTERS.map((c) => ({
|
|
||||||
key: c.key, name: c.name, shippedOrders: 0, exceptionOrders: 0, exceptionRate: 0, byType: {},
|
|
||||||
})),
|
|
||||||
types: registry.EXCEPTION_TYPES,
|
|
||||||
exclusions: {
|
|
||||||
...exclusionMeta(),
|
|
||||||
carrierPackages: 0,
|
|
||||||
carrierOrders: 0,
|
|
||||||
carrierReasons: {},
|
|
||||||
voidedPackages: 0,
|
|
||||||
voidedOrders: 0,
|
|
||||||
voidedReasons: {},
|
|
||||||
nonRealPackages: 0,
|
|
||||||
nonRealOrders: 0,
|
|
||||||
nonRealReasons: {},
|
|
||||||
},
|
|
||||||
orders: [],
|
|
||||||
detailLimit: limit,
|
|
||||||
truncated: false,
|
|
||||||
freshness: { snapshotAt: '', ageMinutes: null, stale: false, coversDeadline: null, hint: '' },
|
|
||||||
generatedAt,
|
|
||||||
cached: false,
|
|
||||||
cacheAgeSec: 0,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
const cacheKey = `${batch.verifyDate}|${limit}`;
|
|
||||||
const cachedEntry = resultCache.get(cacheKey);
|
|
||||||
if (!force && cachedEntry && Date.now() - cachedEntry.at < CACHE_TTL_MS) {
|
|
||||||
return {
|
|
||||||
...cachedEntry.data,
|
|
||||||
cached: true,
|
|
||||||
cacheAgeSec: Math.round((Date.now() - cachedEntry.at) / 1000),
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
const rows = await loadShippedPackages(batch);
|
|
||||||
|
|
||||||
// ── 归属主仓 + 去重 ──────────────────────────────────────────────────
|
|
||||||
const centerStat = new Map();
|
|
||||||
for (const center of registry.CENTERS) {
|
|
||||||
centerStat.set(center.key, {
|
|
||||||
key: center.key,
|
|
||||||
name: center.name,
|
|
||||||
shippedOrders: new Set(),
|
|
||||||
exceptionOrders: new Set(),
|
|
||||||
byType: {},
|
|
||||||
packages: 0,
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
const seenPackage = new Set();
|
|
||||||
const exceptions = [];
|
|
||||||
let packageCount = 0;
|
|
||||||
const shippedOrderIds = new Set();
|
|
||||||
let snapshotAt = '';
|
|
||||||
|
|
||||||
// 剔除统计（业务 2026-10-21：不考核的承运商 + 已取消/作废/拦截 + 刷单/信誉单）
|
|
||||||
const skippedByCarrier = { packages: 0, orders: new Set(), reasons: {} };
|
|
||||||
const skippedByVoid = { packages: 0, orders: new Set(), reasons: {} };
|
|
||||||
const skippedByType = { packages: 0, orders: new Set(), reasons: {} };
|
|
||||||
|
|
||||||
for (const row of rows) {
|
|
||||||
const queryTime = formatDateTime(row.query_time);
|
|
||||||
if (queryTime && queryTime > snapshotAt) snapshotAt = queryTime;
|
|
||||||
|
|
||||||
const center = registry.resolveCenter(row.warehouse_name);
|
|
||||||
if (!center) continue;
|
|
||||||
|
|
||||||
const oId = String(row.inner_order_id || '');
|
|
||||||
const trackingNo = String(row.logistic_id || '');
|
|
||||||
const packageKey = `${oId}|${trackingNo || row.send_time || ''}`;
|
|
||||||
if (seenPackage.has(packageKey)) continue;
|
|
||||||
seenPackage.add(packageKey);
|
|
||||||
|
|
||||||
// ① 不参与考核的承运商（唯品顺丰 / 武进安能 / 中铁 / 壹米滴答 / 自提 / 线下 / 京喜京东）
|
|
||||||
// 这些要么轨迹不回传聚水潭、要么根本没有快递轨迹，留着只会刷假异常。
|
|
||||||
// 「睢宁中通」是有条件的：睢宁仓照常考核，其它仓异地打单的剔（传 center.key 区分）。
|
|
||||||
const carrierHit = registry.matchExcludedCarrier(row.logistic_company_name, center.key);
|
|
||||||
if (carrierHit) {
|
|
||||||
skippedByCarrier.packages += 1;
|
|
||||||
skippedByCarrier.orders.add(oId);
|
|
||||||
skippedByCarrier.reasons[carrierHit] = (skippedByCarrier.reasons[carrierHit] || 0) + 1;
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
|
|
||||||
// ② 已取消 / 作废 / 拦截的订单 —— 单据已终止，不用再跟物流
|
|
||||||
const voidReason = registry.matchVoidedOrder(row.order_status_name, row.order_labels);
|
|
||||||
if (voidReason) {
|
|
||||||
skippedByVoid.packages += 1;
|
|
||||||
skippedByVoid.orders.add(oId);
|
|
||||||
skippedByVoid.reasons[voidReason] = (skippedByVoid.reasons[voidReason] || 0) + 1;
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
|
|
||||||
// ③ 刷单 / 信誉单 —— 订单本身不是真实发货，揽不揽收不代表仓库的物流能力
|
|
||||||
const nonRealReason = registry.matchNonRealOrder(row.order_labels);
|
|
||||||
if (nonRealReason) {
|
|
||||||
skippedByType.packages += 1;
|
|
||||||
skippedByType.orders.add(oId);
|
|
||||||
skippedByType.reasons[nonRealReason] = (skippedByType.reasons[nonRealReason] || 0) + 1;
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
|
|
||||||
const stat = centerStat.get(center.key);
|
|
||||||
stat.shippedOrders.add(oId);
|
|
||||||
stat.packages += 1;
|
|
||||||
packageCount += 1;
|
|
||||||
shippedOrderIds.add(oId);
|
|
||||||
|
|
||||||
const type = classify(row);
|
|
||||||
if (!type) continue;
|
|
||||||
|
|
||||||
const sendAt = formatDateTime(row.send_time);
|
|
||||||
const logisticAt = formatDateTime(row.logistic_time);
|
|
||||||
const pendingMinutes = diffMinutes(sendAt, batch.deadline);
|
|
||||||
const staleMinutes = diffMinutes(logisticAt, batch.deadline);
|
|
||||||
const typeMeta = registry.TYPE_MAP.get(type) || { label: type, tone: 'default' };
|
|
||||||
|
|
||||||
stat.exceptionOrders.add(oId);
|
|
||||||
stat.byType[type] = (stat.byType[type] || 0) + 1;
|
|
||||||
|
|
||||||
exceptions.push({
|
|
||||||
oId,
|
|
||||||
soId: String(row.so_id || ''),
|
|
||||||
shopName: String(row.shop_name || ''),
|
|
||||||
warehouseName: String(row.warehouse_name || ''),
|
|
||||||
centerKey: center.key,
|
|
||||||
centerName: center.name,
|
|
||||||
carrier: String(row.logistic_company_name || ''),
|
|
||||||
trackingNo,
|
|
||||||
logisticStatus: String(row.logistic_status_name || ''),
|
|
||||||
exceptionType: type,
|
|
||||||
exceptionLabel: typeMeta.label,
|
|
||||||
exceptionDesc: typeMeta.desc || '',
|
|
||||||
tone: typeMeta.tone,
|
|
||||||
sendTime: sendAt,
|
|
||||||
lastLogisticTime: logisticAt,
|
|
||||||
lastLogisticInfo: String(row.last_info || '').trim(),
|
|
||||||
// 发货 → 核验时刻（小时，1 位小数）：仓库看到「发了多久还没动静」
|
|
||||||
pendingHours: pendingMinutes === null ? null : Math.round((pendingMinutes / 60) * 10) / 10,
|
|
||||||
// 最后一条轨迹 → 核验时刻（小时）：负数表示这条轨迹是核验之后才出现的
|
|
||||||
staleHours: staleMinutes === null ? null : Math.round((staleMinutes / 60) * 10) / 10,
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
// 异常单最久未处理的排前面
|
|
||||||
exceptions.sort((a, b) => (b.pendingHours || 0) - (a.pendingHours || 0));
|
|
||||||
|
|
||||||
// ── 汇总 ────────────────────────────────────────────────────────────
|
|
||||||
const summary = emptySummary();
|
|
||||||
const allExceptionOrders = new Set();
|
|
||||||
summary.shippedOrders = shippedOrderIds.size;
|
|
||||||
summary.packageCount = packageCount;
|
|
||||||
|
|
||||||
const centers = registry.CENTERS.map((center) => {
|
|
||||||
const stat = centerStat.get(center.key);
|
|
||||||
const byType = { ...stat.byType };
|
|
||||||
for (const oid of stat.exceptionOrders) allExceptionOrders.add(oid);
|
|
||||||
return {
|
|
||||||
key: center.key,
|
|
||||||
name: center.name,
|
|
||||||
shippedOrders: stat.shippedOrders.size,
|
|
||||||
exceptionOrders: stat.exceptionOrders.size,
|
|
||||||
exceptionRate: stat.shippedOrders.size
|
|
||||||
? Math.round((stat.exceptionOrders.size / stat.shippedOrders.size) * 1000) / 10
|
|
||||||
: 0,
|
|
||||||
byType,
|
|
||||||
};
|
|
||||||
});
|
|
||||||
|
|
||||||
summary.exceptionOrders = allExceptionOrders.size;
|
|
||||||
summary.exceptionPackages = exceptions.length;
|
|
||||||
summary.exceptionRate = summary.shippedOrders
|
|
||||||
? Math.round((summary.exceptionOrders / summary.shippedOrders) * 1000) / 10
|
|
||||||
: 0;
|
|
||||||
summary.centerCount = centers.filter((c) => c.exceptionOrders > 0).length;
|
|
||||||
for (const item of exceptions) {
|
|
||||||
summary.byType[item.exceptionType] = (summary.byType[item.exceptionType] || 0) + 1;
|
|
||||||
}
|
|
||||||
|
|
||||||
// ── 新鲜度 ──────────────────────────────────────────────────────────
|
|
||||||
const ageMinutes = snapshotAt ? diffMinutes(snapshotAt, generatedAt) : null;
|
|
||||||
const stale = ageMinutes !== null && ageMinutes > SNAPSHOT_STALE_MINUTES;
|
|
||||||
const coversDeadline = snapshotAt ? snapshotAt >= batch.deadline : null;
|
|
||||||
let hint = '';
|
|
||||||
if (coversDeadline === false) {
|
|
||||||
hint = `物流快照最新只到 ${snapshotAt.slice(11, 16)}，没覆盖本轮 ${batch.deadline.slice(11, 16)} 核验时刻 ——`
|
|
||||||
+ ' 之后才揽收/更新的轨迹没进来，异常量会偏大，请以上面「数据更新于」为准，或等上游同步后刷新。';
|
|
||||||
} else if (stale) {
|
|
||||||
hint = `物流快照最新只到 ${snapshotAt.slice(11, 16)}（已 ${Math.round((ageMinutes / 60) * 10) / 10} 小时未刷新），`
|
|
||||||
+ '状态可能滞后，请以聚水潭实时物流为准。';
|
|
||||||
}
|
|
||||||
|
|
||||||
const payload = {
|
|
||||||
batch,
|
|
||||||
notStarted: false,
|
|
||||||
resolution: '09:00',
|
|
||||||
summary,
|
|
||||||
centers,
|
|
||||||
// 异常类型字典（前端图例/筛选器直接用，避免两边各写一套文案）
|
|
||||||
types: registry.EXCEPTION_TYPES,
|
|
||||||
// 业务指定的剔除口径（前端原样展示，别在页面里硬编码一份）
|
|
||||||
exclusions: {
|
|
||||||
...exclusionMeta(),
|
|
||||||
// 本批实际剔掉了多少（包裹 / 订单 / 原因明细）
|
|
||||||
carrierPackages: skippedByCarrier.packages,
|
|
||||||
carrierOrders: skippedByCarrier.orders.size,
|
|
||||||
carrierReasons: skippedByCarrier.reasons,
|
|
||||||
voidedPackages: skippedByVoid.packages,
|
|
||||||
voidedOrders: skippedByVoid.orders.size,
|
|
||||||
voidedReasons: skippedByVoid.reasons,
|
|
||||||
nonRealPackages: skippedByType.packages,
|
|
||||||
nonRealOrders: skippedByType.orders.size,
|
|
||||||
nonRealReasons: skippedByType.reasons,
|
|
||||||
},
|
|
||||||
orders: exceptions.slice(0, limit),
|
|
||||||
detailLimit: limit,
|
|
||||||
truncated: exceptions.length > limit,
|
|
||||||
freshness: {
|
|
||||||
snapshotAt,
|
|
||||||
ageMinutes,
|
|
||||||
stale,
|
|
||||||
coversDeadline,
|
|
||||||
hint,
|
|
||||||
},
|
|
||||||
generatedAt,
|
|
||||||
cached: false,
|
|
||||||
cacheAgeSec: 0,
|
|
||||||
};
|
|
||||||
|
|
||||||
resultCache.set(cacheKey, { at: Date.now(), data: payload });
|
|
||||||
// 超过上限时淘汰最旧的一条（条目很少，排序开销可忽略）
|
|
||||||
if (resultCache.size > CACHE_MAX_ENTRIES) {
|
|
||||||
let oldestKey = '';
|
|
||||||
let oldestAt = Infinity;
|
|
||||||
for (const [key, entry] of resultCache.entries()) {
|
|
||||||
if (entry.at < oldestAt) { oldestAt = entry.at; oldestKey = key; }
|
|
||||||
}
|
|
||||||
if (oldestKey) resultCache.delete(oldestKey);
|
|
||||||
}
|
|
||||||
return payload;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 导出用：返回**不分页**的异常明细（口径与页面完全一致，只是把明细上限放开）。
|
|
||||||
*
|
|
||||||
* 页面列表默认只取 500 条（够看），导出必须拿全 —— 否则业务拿到的 Excel
|
|
||||||
* 和数据对不上，是最容易被投诉的点。这里复用 `getLogisticsExceptions`，
|
|
||||||
* 不另写一套查询，避免「导出和页面两套口径」。
|
|
||||||
*
|
|
||||||
* @returns {Promise<{rows:Array,total:number,truncated:boolean,batch:object}>}
|
|
||||||
*/
|
|
||||||
async function getLogisticsExceptionExportRows(options = {}) {
|
|
||||||
const data = await getLogisticsExceptions({
|
|
||||||
...options,
|
|
||||||
limit: EXPORT_DETAIL_LIMIT,
|
|
||||||
maxLimit: EXPORT_DETAIL_LIMIT,
|
|
||||||
});
|
|
||||||
const rows = Array.isArray(data.orders) ? data.orders : [];
|
|
||||||
const total = Number(data.summary?.exceptionPackages) || rows.length;
|
|
||||||
return {
|
|
||||||
rows,
|
|
||||||
total,
|
|
||||||
// 异常包裹数超过上限时如实告知，页面会提示「结果已截断」
|
|
||||||
truncated: rows.length < total,
|
|
||||||
detailLimit: EXPORT_DETAIL_LIMIT,
|
|
||||||
batch: data.batch,
|
|
||||||
notStarted: data.notStarted,
|
|
||||||
summary: data.summary,
|
|
||||||
centers: data.centers,
|
|
||||||
types: data.types,
|
|
||||||
exclusions: data.exclusions,
|
|
||||||
freshness: data.freshness,
|
|
||||||
generatedAt: data.generatedAt,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
getLogisticsExceptions,
|
|
||||||
getLogisticsExceptionExportRows,
|
|
||||||
clearLogisticsExceptionCache,
|
|
||||||
classify,
|
|
||||||
formatDateTime,
|
|
||||||
diffMinutes,
|
|
||||||
};
|
|
||||||
@ -1,559 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓储中心 24 小时发货时效（2026-10-20 新增）
|
|
||||||
* ────────────────────────────────────────────────────────────────────────────
|
|
||||||
* 需求（yanhui 2026-10-20）：
|
|
||||||
* MKH-BOM 列表左侧加一栏「仓储中心24小时发货时效」，下列 11 个仓：
|
|
||||||
* 横林二仓 / 横林三仓 / 横林二仓品牌仓 / 崔桥工厂仓 / 崔桥工厂品牌仓 /
|
|
||||||
* 崔桥工厂半成品包装项目仓 / 新苏北仓 / 睢宁仓 / 山东青岗集仓 / 山东品牌仓 / 河南洛宁仓
|
|
||||||
* 从系统库存抓取「已发货订单」与「未发货订单」，按**订单审核时间**分轮核算。
|
|
||||||
* 今天 07:00 前审核的订单 → 13:00 核验；**截止今天 16:00 前审核**的单（含今天之前未发的）→ 18:00 核验；
|
|
||||||
* 昨天及更早审核、至今未发的（历史未发单）两个轮次都算。
|
|
||||||
* （2026-10-20 三次调整：
|
|
||||||
* 二次 —— 核验时刻由 12:00/16:00 改为 13:00/18:00；
|
|
||||||
* 三次 —— ① **窗口按「审核时间」判**（不是创建时间）：业务指出的 9818476
|
|
||||||
* （创建 10-18、审核 10-20 13:06）这类下午才审的单，不能进 13:00 轮；
|
|
||||||
* ② **取消「满 24 小时才算超时」的门槛**：到核验时刻未发即超时；
|
|
||||||
* ③ **历史未发单一律算**，不卡「今天 00:00 起」。
|
|
||||||
* 业务原话：「当天 6:30 到 7 点审核的订单 13:00 核验；当天 7 点到
|
|
||||||
* 16 点审核的订单 18:00 核验；然后再看历史未发的订单」。）
|
|
||||||
* 展示口径：**只显示超时未发**（业务确认）。
|
|
||||||
*
|
|
||||||
* 业务确认的口径（2026-10-20）：
|
|
||||||
* ① 子仓归属主仓 —— **连子仓一起算**（如 横林二仓 含京东自营仓/运营C专用仓 等）
|
|
||||||
* 例外：「京仓-横林二仓京东云仓」业务指定**排除**，不计入任何主仓（见下）
|
|
||||||
* ② 崔桥工厂半成品仓 —— 系统无同名仓，**接入「简尚-崔桥工厂半成品包装项目仓」**（15718196）
|
|
||||||
* ③ 展示结构 —— **只显示超时未发**
|
|
||||||
* ④ 明细列 —— 要同时给「内部单号」(o_id) 与「线上订单号」(so_id)
|
|
||||||
*
|
|
||||||
* ── 数据源 ────────────────────────────────────────────────────────────────
|
|
||||||
* 订单：两张表**店铺互斥，必须都读**（见 mkhBomService 文件头）
|
|
||||||
* rpt.jst_Orders —— 京东 / 拼多多 / 抖音 / 得物 / 唯品会
|
|
||||||
* rpt.jst_qmcust_orderlist —— 天猫 / 淘宝 / 1688
|
|
||||||
* 字段口径（2026-10-20 四次修正，全部以聚水潭「销售出库单」页面为准）：
|
|
||||||
* · 创建时间：**销售出库单的 `created`**（出库单创建时间）
|
|
||||||
* ⚠️ 不是 `order_date`（平台下单时间）；
|
|
||||||
* ⚠️ 更不是 `modified` —— 实测数仓每天凌晨把整批订单的 modified 刷成
|
|
||||||
* 02:2x / 04:3x（样本 9765107 等 7 单全是 10-20 04:39~04:40，
|
|
||||||
* 实际下单在 10-13~10-18），拿它当创建时间会让所有单的时间被抹平；
|
|
||||||
* ⚠️ 也不是 `created/createTime/updateTime`（数仓 5 分钟批量灌库时间戳）。
|
|
||||||
* 待出库的单在出库单表里还没有记录 → 回退 `order_date` 并在接口里标注来源。
|
|
||||||
* · 已出库：销售出库单表能查到该 o_id（有 `io_date`），**或**订单 `send_date`
|
|
||||||
* 非空，**或**订单状态已是 `Sent` / `Delivering`。
|
|
||||||
* · 待出库：以上三条都不满足。
|
|
||||||
* · 发货仓： `wms_co_id`（订单**发货仓**，不是 SKU 的归属仓）
|
|
||||||
* ⚠️ 用户原话「从系统库存抓取」—— 本实现取的是**订单维度**的仓库归属，
|
|
||||||
* 因为 jst_inventoryInfo 只有「某 SKU 在某仓有多少件」，没有订单记录。
|
|
||||||
*
|
|
||||||
* ── 仓库归属（按名称包含匹配，最长匹配优先）────────────────────────────────
|
|
||||||
* `rpt.jst_warehouseInfo` 实测（2026-10-20）：
|
|
||||||
* 横林二仓 15033302 + 15301814/15835893/16040225/16132681
|
|
||||||
* ⚠️ 15197138「京仓-横林二仓京东云仓」**业务指定排除**（见 EXCLUDED_WAREHOUSE_KEYWORDS）
|
|
||||||
* 横林三仓 15043561
|
|
||||||
* 横林二仓品牌仓 16132681（**同时命中也属于「横林二仓」，靠最长匹配优先归到品牌仓**）
|
|
||||||
* 崔桥工厂仓 15038426 + 15301815/16040410
|
|
||||||
* 崔桥工厂品牌仓 15870495
|
|
||||||
* 崔桥工厂半成品包装项目仓 15718196（原名「简尚-崔桥工厂半成品包装项目仓」）
|
|
||||||
* 新苏北仓 15038347 + 15315031/15301812
|
|
||||||
* 睢宁仓 15032603 + 15051907/15051960/15052203/15301813/15386911
|
|
||||||
* 山东青岗集仓 15137523 + 15283033/15406664/15835935/16040432/16129076
|
|
||||||
* 山东品牌仓 15182705
|
|
||||||
* 河南洛宁仓 15539084
|
|
||||||
* ⟹ 仓库 ID → 主仓 的映射**在启动时从库表读取并缓存**（不用手写 ID 常量，
|
|
||||||
* 避免上游新增子仓后要改代码；新增子仓只要名字里带主仓关键词就会自动归入）。
|
|
||||||
* 缓存 TTL 1 小时，可用 clearWarehouseCache() 手动清。
|
|
||||||
*
|
|
||||||
* ── 时效判定 ──────────────────────────────────────────────────────────────
|
|
||||||
* 两个时刻**必须区分**（2026-10-20 二次调整后最容易搞混的地方）：
|
|
||||||
* `verifyHour` —— 几点核验（13:00 / 18:00）。判定「发了没发」「超时多久」都用它。
|
|
||||||
* `windowEndHour` —— 订单窗口上界（07:00 / 16:00）。只核验该时刻**前审核**的单。
|
|
||||||
* 取当前已生效且最晚的那一轮；未到 13:00 时无核验轮次：
|
|
||||||
* 13:00 → 核验「今天 00:00~07:00 审核」的订单 + 历史未发
|
|
||||||
* 18:00 → 核验「截止今天 16:00 前审核」的订单 + 今天之前审核仍未发的（历史未发）
|
|
||||||
* ⚠️ 不是「今天 00:00~16:00」这一个自然日切片，历史未发也在内；
|
|
||||||
* 山东两仓窗口上界 15:00、河南洛宁 13:00（核验时刻仍是 18:00）。
|
|
||||||
* 判定（2026-10-20 三次修正 —— **没有「满 24 小时」门槛**）：
|
|
||||||
* · 超时未出库 = 到核验时刻仍未发货
|
|
||||||
* （出库单表查不到 + `send_time` 为空 + 状态不是 Sent/Delivering）
|
|
||||||
* 🔥 第七版错在加了「创建满 24h 才算超时」，导致 13:00 轮永远
|
|
||||||
* 看不到当天 7 点那批（才等了 6 小时），业务直接打回。
|
|
||||||
* · 已出库 = 出库单表有记录 / send_date 非空 / 状态 Sent、Delivering
|
|
||||||
* · 拆单父单（is_split=1）、被合并单（is_merge=1）**一律排除** ——
|
|
||||||
* 它们自己永不发货，货由子单/主单发出，算进来就是冤枉仓库。
|
|
||||||
* 业务只要「超时未出库」，所以列表只返回待出库的超时单。
|
|
||||||
*
|
|
||||||
* ── 时区 ──────────────────────────────────────────────────────────────────
|
|
||||||
* 订单时间列存的是**东八区本地时间**（实测 `order_date` 与 `created` 相差十几秒，
|
|
||||||
* 均为北京时间）。因此 SQL 里统一用 `CAST(GETDATE() AS date)` 取「今天」，
|
|
||||||
* 服务器与数据库都在东八区；**不要**在 Node 侧用 UTC 日期做判断。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const cloudDatabase = require('../config/cloudDatabase');
|
|
||||||
|
|
||||||
// ── 主仓定义（业务给定的 11 个）──────────────────────────────────────────
|
|
||||||
// keywords：该主仓在 rpt.jst_warehouseInfo.name 里应包含的关键词（任一命中即归属）
|
|
||||||
// 顺序即展示顺序；`match` 用最长关键词优先，所以「横林二仓品牌仓」不会被「横林二仓」抢走。
|
|
||||||
const CENTERS = Object.freeze([
|
|
||||||
{ key: 'HL2', name: '横林二仓', keywords: ['横林二仓'] },
|
|
||||||
{ key: 'HL3', name: '横林三仓', keywords: ['横林三仓'] },
|
|
||||||
{ key: 'HL2_BRAND', name: '横林二仓品牌仓', keywords: ['横林二仓品牌仓'] },
|
|
||||||
{ key: 'CQ', name: '崔桥工厂仓', keywords: ['崔桥工厂仓'] },
|
|
||||||
{ key: 'CQ_BRAND', name: '崔桥工厂品牌仓', keywords: ['崔桥工厂品牌仓'] },
|
|
||||||
// 2026-10-20 二次调整：原先「崔桥工厂半成品仓」在仓库表里没有同名仓，只能留空占位；
|
|
||||||
// 业务指定用「简尚-崔桥工厂半成品包装项目仓」(wms_co_id=15718196, Id=198) 替代接入。
|
|
||||||
// ⚠️ 该 wms_co_id 同时也是配件仓（MKH 配件库存来源），但这里是**订单发货仓**维度，
|
|
||||||
// 统计的是「从该仓发出的订单」，与配件库存口径无关，不要混。
|
|
||||||
{ key: 'CQ_WIP', name: '崔桥工厂半成品包装项目仓', keywords: ['崔桥工厂半成品'] },
|
|
||||||
{ key: 'XSB', name: '新苏北仓', keywords: ['新苏北'] },
|
|
||||||
{ key: 'SN', name: '睢宁仓', keywords: ['睢宁'] },
|
|
||||||
// 🔥 山东两个仓 18:00 轮的窗口更早（15:00 前，不是 16:00）——
|
|
||||||
// 业务 2026-10-20：「山东青岗集仓和山东品牌仓，这 2 个仓库时间不是 16:00 前，
|
|
||||||
// 是 15:00 前订单」。核验时刻仍是 18:00，只是卡单的范围窄一小时。
|
|
||||||
{ key: 'SD_QGJ', name: '山东青岗集仓', keywords: ['山东青岗集'], windowEndHourByRound: { AFTERNOON: 15 } },
|
|
||||||
{ key: 'SD_BRAND', name: '山东品牌仓', keywords: ['山东品牌仓'], windowEndHourByRound: { AFTERNOON: 15 } },
|
|
||||||
// 🔥 河南洛宁仓更早：18:00 轮只看 13:00 前创建的单（业务同一条指令）
|
|
||||||
{ key: 'HN_LN', name: '河南洛宁仓', keywords: ['河南洛宁'], windowEndHourByRound: { AFTERNOON: 13 } },
|
|
||||||
]);
|
|
||||||
|
|
||||||
// 各主仓在某一轮的窗口上界小时。
|
|
||||||
// 返回 null 表示「用轮次默认值」（ROUNDS[].windowEndHour）。
|
|
||||||
// ⚠️ 13:00 轮没有例外，全部按 07:00；只有 18:00 轮有三处更早的上界。
|
|
||||||
function centerWindowEndHour(centerKey, roundKey) {
|
|
||||||
const center = CENTERS.find((c) => c.key === centerKey);
|
|
||||||
const override = center && center.windowEndHourByRound
|
|
||||||
? center.windowEndHourByRound[roundKey]
|
|
||||||
: undefined;
|
|
||||||
return Number.isFinite(override) ? override : null;
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 该主仓在这一轮的窗口上界（'YYYY-MM-DD HH:mm:00'），没有例外就用轮次默认 */
|
|
||||||
function centerWindowEnd(centerKey, round) {
|
|
||||||
const hour = centerWindowEndHour(centerKey, round.key);
|
|
||||||
if (hour === null) return round.windowEnd;
|
|
||||||
return `${round.date} ${String(hour).padStart(2, '0')}:00:00`;
|
|
||||||
}
|
|
||||||
|
|
||||||
// 「横林三仓」与「横林二仓」不含对方，安全；但「崔桥工厂品牌仓」含「崔桥工厂仓」片段，
|
|
||||||
// 靠关键词长度倒序匹配即可（见 resolveCenter）。
|
|
||||||
const SORTED_KEYWORDS = CENTERS
|
|
||||||
.filter((c) => c.keywords.length)
|
|
||||||
.flatMap((c) => c.keywords.map((kw) => ({ kw, center: c })))
|
|
||||||
.sort((a, b) => b.kw.length - a.kw.length);
|
|
||||||
|
|
||||||
// ── 排除仓（业务指定，2026-10-20）──────────────────────────────────────────
|
|
||||||
// 「京仓-横林二仓京东云仓」(wms_co_id=15197138, Id=129) 虽然名字里带「横林二仓」，
|
|
||||||
// 但属于京东云仓代运营，**不纳入横林二仓的时效考核**（业务明确要求排除）。
|
|
||||||
// ⚠️ 用完整片段「横林二仓京东云仓」而不是「京东云仓」：
|
|
||||||
// 仓库表里还有「京仓-崔桥工厂京东云仓」(15283032)、
|
|
||||||
// 「京仓-山东青岗集京东云仓」(15283033)，写短了会把它们一起排掉；
|
|
||||||
// 也不会误伤「简尚-横林二仓京东仓」(16040225) 与「京仓-横林二仓京东自营仓」(15835893)。
|
|
||||||
const EXCLUDED_WAREHOUSE_KEYWORDS = Object.freeze([
|
|
||||||
'横林二仓京东云仓',
|
|
||||||
]);
|
|
||||||
|
|
||||||
// 长关键词优先，避免以后加了「XX京东云仓」被短词抢先
|
|
||||||
const SORTED_EXCLUSIONS = [...EXCLUDED_WAREHOUSE_KEYWORDS].sort((a, b) => b.length - a.length);
|
|
||||||
|
|
||||||
// ── 时效轮次（业务给定，2026-10-20 二次调整）──────────────────────────────
|
|
||||||
// verifyHour ：当天几点开始核验（13:00 / 18:00）
|
|
||||||
// windowEndHour ：只核验「**审核时间**不晚于该时刻」的订单（07:00 / 16:00）
|
|
||||||
// ⚠️ 两者**不是同一个东西**，别再用一个字段兼着当：
|
|
||||||
// 旧实现拿 12:00 同时当核验时刻和窗口上界，导致「12:00 轮」实际把
|
|
||||||
// 07:00~12:00 创建的单也算进来了，与页面上写的「核验 07:00 前」不一致。
|
|
||||||
// ⚠️ 也不能在 windowEnd 之后再叠「满 N 小时」门槛 —— 13:00 轮里 07:00 审核的单
|
|
||||||
// 只等了 6 小时，加门槛就永远不出现在超时列表里（第七版被打回的原因）。
|
|
||||||
const ROUNDS = Object.freeze([
|
|
||||||
{ key: 'NOON', label: '13:00 轮', verifyHour: 13, windowEndHour: 7 },
|
|
||||||
{ key: 'AFTERNOON', label: '18:00 轮', verifyHour: 18, windowEndHour: 16 },
|
|
||||||
]);
|
|
||||||
|
|
||||||
// ── 订单窗口下界（含历史的天数，**业务可调**）────────────────────────────
|
|
||||||
// 业务口径（2026-10-20 三次纠偏）：「截止某时刻创建、至今仍未发货」—— 不按自然日切，
|
|
||||||
// 昨天、前天乃至更早挂着没发的单都要算进来（滚动累积的待发池）。
|
|
||||||
//
|
|
||||||
// ⚠️ 但不能无限往前：rpt 下全是视图、没有索引，扫得越远越慢。2026-10-20 实测
|
|
||||||
// （jst_Orders + jst_qmcust 并行，含已发单的窗口全量）：
|
|
||||||
// 近 7 天 → 约 5s 近 30 天 → 约 45s
|
|
||||||
// 近 90 天 → 约 130s 近 365 天 → 约 500s（基本等于页面卡死）
|
|
||||||
// 所以默认取 30 天：覆盖「今日 + 近一个月累积未发」，兼顾口径与可用性。
|
|
||||||
//
|
|
||||||
// 同时实测 28 个目标仓的**全部未发单**：共 1,228 条，其中近 7 天 257、
|
|
||||||
// 近 30 天 496、近 90 天 792、更早 436（最早 2025-10-24）。
|
|
||||||
// ⟹ 30 天能看到约 40%；要看更久的老单，把下面数字改大，代价是首屏更慢。
|
|
||||||
const HISTORY_LOOKBACK_DAYS = 30;
|
|
||||||
|
|
||||||
// 只排除取消/合并单；Question 仍计入（与 mkhBomService 待发货口径一致）
|
|
||||||
//
|
|
||||||
// 🔥 Split（拆单）：**必须排除**。拆单是「父单被拆成子单」的中间态，父单本身
|
|
||||||
// 不会发货（`send_date` 永远为空），子单才是真正进仓发货的那一单。
|
|
||||||
// 2026-10-20 实测：不加这个条件，一年前的 Split 父单全被算成「超时未发」，
|
|
||||||
// 全库未发 Split 单占比极高 —— 会让页面变成上万条的垃圾列表。
|
|
||||||
// ⚠️ 与 mkhBomService 的差异：那边是「预警今天要发的货」，Split 父单不带真实
|
|
||||||
// 发货需求，被算进去也无害；这边是「考核仓库时效」，误算就要背锅，必须排除。
|
|
||||||
const EXCLUDED_STATUS_SQL = `ISNULL(o.status, N'') NOT IN (N'Cancelled', N'Merged', N'Split')`;
|
|
||||||
|
|
||||||
// ── 「已发货 / 待发货」状态口径（2026-10-20 四次修正，业务反馈数据错误）────
|
|
||||||
// 🔥 之前只排除了 Cancelled/Merged/Split，靠 `send_date IS NULL` 判「未发」，
|
|
||||||
// 实测**大量已发货的单被算成超时未发**（业务一眼就看出来了）。原因有三个：
|
|
||||||
// ① `send_date` 在部分店铺/平台不回写，订单状态已经是 Sent/Delivering，
|
|
||||||
// send_date 却还是 NULL（样本 9838341：Delivering，send_date 空）；
|
|
||||||
// ② 拆单父单 `status` 不是 'Split' 而是 'Delivering'（父单随子单状态走），
|
|
||||||
// `is_split=1` 才是真标记（样本 9838537 就是这样）；
|
|
||||||
// ③ 合并单 `is_merge=1` 同理，被并入主单，自己永不发货。
|
|
||||||
// 订单状态实测分布（2026-10-20，近 7 天，两表合计）：
|
|
||||||
// Sent 61,833 / Cancelled 22,292 / Split 4,927 / Delivering 2,567 /
|
|
||||||
// Question 1,500 / Merged 682 / WaitOuterSent 30 / WaitConfirm 12
|
|
||||||
// ⟹ 判定「已发货」= status ∈ (Sent, Delivering) **或** send_date 非空
|
|
||||||
// **或** 销售出库单表能查到该 o_id（见 OUTBOUND_TABLES）
|
|
||||||
const SHIPPED_STATUS = Object.freeze(['Sent', 'Delivering']);
|
|
||||||
|
|
||||||
// 待出库候选：把「已发货」状态一并排除。判定顺序是
|
|
||||||
// ① SQL 先粗筛（下面这个条件 + send_date IS NULL + 非拆单/合并）
|
|
||||||
// ② Node 侧再查销售出库单表精确剔除（有出库记录 = 其实已出库）
|
|
||||||
// ③ Node 侧再把 Question（疑问单）分流到「业务挂起」，**不计超时**
|
|
||||||
// —— 注意 Question 必须留在候选里，否则统计不出挂起单数；
|
|
||||||
// 它只是不进 orders（超时明细），走 heldCount / heldOrders。
|
|
||||||
const PENDING_STATUS_SQL = `ISNULL(o.status, N'') NOT IN (N'Cancelled', N'Merged', N'Split', N'Sent', N'Delivering')`;
|
|
||||||
|
|
||||||
// 拆单父单 / 被合并单：自己**永不发货**，货由子单或主单发出。
|
|
||||||
// 只排 status 不够（父单状态会跟着子单变成 Delivering），必须看标记位。
|
|
||||||
// ⚠️ is_split / is_merge 是 bit 且可能为 NULL —— 必须 ISNULL 兜底，
|
|
||||||
// 否则 `o.is_split = 0` 会把 NULL 行全部丢掉（实测会少掉大半候选）。
|
|
||||||
const NOT_SPLIT_MERGED_SQL = `ISNULL(o.is_split, 0) = 0 AND ISNULL(o.is_merge, 0) = 0`;
|
|
||||||
|
|
||||||
// ── 销售出库单表（聚水潭「销售出库单」页面的数据来源）──────────────────────
|
|
||||||
// 业务明确要求（2026-10-20）：「已出库 / 待出库」与「创建时间」都以聚水潭
|
|
||||||
// **销售出库单**页面为准，不再用订单表的 send_date 猜。
|
|
||||||
//
|
|
||||||
// 两张表与订单表同构、店铺互斥：
|
|
||||||
// rpt.jst_salesOutboundInfo ← jst_Orders（京东/拼多多/抖音/得物/唯品会），103.7 万行
|
|
||||||
// rpt.jst_qmcust_salesoutbound ← jst_qmcust_orderlist（天猫/淘宝/1688），39.8 万行
|
|
||||||
// 字段口径（2026-10-20 实测确认）：
|
|
||||||
// · `created` —— **出库单创建时间**（业务在聚水潭出库单页面看到的那个），
|
|
||||||
// 时点分布自然（8~23 点均匀，凌晨 4 点有一波补录），可用；
|
|
||||||
// · `io_date` —— **出库时间**（真正发货那一刻）；
|
|
||||||
// · `modified` —— ⚠️ 会被数仓每天凌晨批量刷新（实测全被刷成 02:2x / 04:3x），
|
|
||||||
// 与订单表的 modified 一样**不可当作创建时间**；
|
|
||||||
// · **两张表都只含「已出库」的单**：103.7 万行里 io_date 为 0 条空值。
|
|
||||||
// ⟹ 「待出库」无法从出库单表直接查，只能靠「查不到 = 还没出库」反推。
|
|
||||||
const OUTBOUND_TABLES = Object.freeze({
|
|
||||||
jst_Orders: 'jst_salesOutboundInfo',
|
|
||||||
jst_qmcust_orderlist: 'jst_qmcust_salesoutbound',
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── 聚水潭「订单实时状态」表（2026-10-20 五次修正：按审核时间核算）──────────
|
|
||||||
// 🔥 前面三版的根因都在这里：`jst_Orders.status` / `jst_qmcust_orderlist.status`
|
|
||||||
// 是**下单那一刻的快照**，之后聚水潭侧取消、售后、审核都不会回写。
|
|
||||||
// 实测（2026-10-20）：业务反馈「聚水潭查不到」的 6 单，订单表里
|
|
||||||
// status 全是 `WaitConfirm`，而在本表里真实状态是 **已取消**（发货前售后）；
|
|
||||||
// 另有 1 单真实状态是 **异常**。上一版把它们当成「待出库超时」报了出来。
|
|
||||||
//
|
|
||||||
// `rpt.jst_order_express_details`（402 万行，query_time 准实时，最近一次今天 11:55）
|
|
||||||
// 是聚水潭订单状态的准实时镜像，字段语义（近 30 天实测覆盖率）：
|
|
||||||
// · `order_status_name` —— 聚水潭真实订单状态
|
|
||||||
// 已发货 269,991（send_time 100%）｜已取消 64,440｜异常 6,669
|
|
||||||
// 发货中 2,448（first_oa 99.96%、send_time 0）｜已支付待审核 833
|
|
||||||
// · `first_oa_confirm_time` —— **订单审核时间**（首次 OA 确认）＝ 业务要的起算点
|
|
||||||
// · `last_oa_confirm_time` —— 最后一次审核（重新审核会刷新）
|
|
||||||
// · `send_time` —— **发货时间**（已发货单 100% 有值，未发单必为空）
|
|
||||||
// · `warehouse_name` —— 发货仓名称（可直接套 CENTERS 关键词匹配）
|
|
||||||
// · `logistic_status_name` —— 物流状态（无物流单 / 未揽收 / 运输中 …）
|
|
||||||
// ⚠️ 本表**没有金额**，金额要回订单表按 `o_id = inner_order_id` 取。
|
|
||||||
const ORDER_STATE_TABLE = 'jst_order_express_details';
|
|
||||||
|
|
||||||
// 「发货中」= 已审核、仓库还没发货 —— **唯一该考核仓库的状态**
|
|
||||||
const SHIPPING_STATUS = '发货中';
|
|
||||||
// 「已支付待审核」= 还没审单，仓库根本没接到 → 不计超时（单列为「待审核」）
|
|
||||||
const UNAUDITED_STATUS = '已支付待审核';
|
|
||||||
// 「异常」= 订单异常（缺货/地址/风控等），有审核时间的单列「异常待处理」，不计仓库超时
|
|
||||||
const ABNORMAL_STATUS = '异常';
|
|
||||||
// 不进考核也不展示的状态：已发货（已发）、已取消（业务侧取消/发货前售后）、
|
|
||||||
// 等供销商|外仓发货（不是本仓发）
|
|
||||||
// 🔥 「已取消」（业务口头叫**作废单**）必须排除（2026-10-20 业务定：「作废订单不用考核」）：
|
|
||||||
// 这类单是客户付款后取消 / 发货前售后（标签带「发货前售后」），仓库根本不会发货。
|
|
||||||
// 2026-10-20 实测：近 30 天已取消 64,440 单，量级远大于真正该考核的「发货中」2,448 单，
|
|
||||||
// 漏掉这个排除，整个页面会被作废单淹没。
|
|
||||||
const IGNORED_STATES = Object.freeze(['已发货', '已取消', '等供销商|外仓发货']);
|
|
||||||
|
|
||||||
// ── 起算点：聚水潭「创建时间」──────────────────────────────────────────────
|
|
||||||
// 业务 2026-10-20 最终定版：「起算点是聚水潭的创建时间，不是审核时间」。
|
|
||||||
//
|
|
||||||
// ⚠️ 状态表 `jst_order_express_details` **没有**聚水潭创建时间，必须回订单表补：
|
|
||||||
// · `createdAt`（本表那个 datetime2）—— ❌ **不是**订单创建时间。
|
|
||||||
// 实测比付款晚 1.5~3.5 小时（261019-… pay 21:05:16 / createdAt 次日 00:23:51），
|
|
||||||
// 是**同步落库时间**，用了会把起算点整体推后几小时。
|
|
||||||
// · `pay_time` —— ❌ 付款时间，业务明确说「这一单的创建还是按照付款时间来的」，
|
|
||||||
// 要换掉。
|
|
||||||
// · ✅ `jst_Orders.created` / `jst_qmcust_orderlist.created` —— **聚水潭创建时间**，
|
|
||||||
// 稳定比下单/付款晚 15~30 秒（抽样 00:07:23 → 00:07:41），
|
|
||||||
// 这才是聚水潭订单列表里「创建时间」那一列。
|
|
||||||
//
|
|
||||||
// 性能（2026-10-20 实测 9,676 个候选）：
|
|
||||||
// 只投影 `o_id, created` 两列、分批 200 → jst_Orders **14.5s** + qmcust **2.9s**。
|
|
||||||
// 🔥 千万别顺手把 pay_amount / labels 一起取出来：同样 IN 400 个只要 **38.7s**。
|
|
||||||
const CREATED_SOURCE_TABLES = Object.freeze(['jst_Orders', 'jst_qmcust_orderlist']);
|
|
||||||
// 分批大小：200 实测最快（再大收益递减，再小批数太多）
|
|
||||||
const CREATED_BACKFILL_BATCH = 200;
|
|
||||||
|
|
||||||
// ── 订单表里的「作废」状态：这些单不会由本单发货，必须剔除 ─────────────────
|
|
||||||
// 业务 2026-10-20 反馈 so_id 5127276315127080023（内部单号 9486414）是作废单，
|
|
||||||
// 却出现在超时未发货里。四张表对照后的真相：
|
|
||||||
// · 状态表 jst_order_express_details：order_status_name=**发货中**、send_time 空
|
|
||||||
// ⟹ 只信状态表的话，这单就是「超时未发」—— 我们就是这么误判的；
|
|
||||||
// · 订单表 jst_qmcust_orderlist：status=**Merged**、send_date=2026-09-22 06:54:49；
|
|
||||||
// · 销售出库单：两张表**都有**出库记录（io_date 2026-09-22 10:59:55）。
|
|
||||||
// ⟹ 根因：状态表的 `send_time` 对**被合并单 / 拆单父单不回写**，
|
|
||||||
// 单子早随主单发走了，状态表还停在「发货中」。
|
|
||||||
// ⟹ 所以除了状态表的 send_time，还**必须**回订单表看 status 与合并/拆单标记位，
|
|
||||||
// 以及查销售出库单（业务最早的口径：有出库单 = 已出库）。
|
|
||||||
const VOID_ORDER_STATUS = Object.freeze(['Merged', 'Split', 'Cancelled']);
|
|
||||||
|
|
||||||
// 24 小时发货时效 —— ⚠️ 仅用于**页面命名/路由**，**不参与判定**。
|
|
||||||
// 2026-10-20 三次调整后判定改成「到 13:00 / 18:00 核验时刻仍未发即超时」，
|
|
||||||
// 没有滚动 24 小时窗口（见 SHIP_TIMELINESS_HOURS 的历史误用记录）。
|
|
||||||
const SHIP_TIMELINESS_HOURS = 24;
|
|
||||||
|
|
||||||
const WAREHOUSE_CACHE_TTL_MS = 60 * 60 * 1000;
|
|
||||||
let warehouseCache = { at: 0, rows: [] };
|
|
||||||
|
|
||||||
function toNumber(value) {
|
|
||||||
const n = Number(value);
|
|
||||||
return Number.isFinite(n) ? n : 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
function pad2(n) {
|
|
||||||
return String(n).padStart(2, '0');
|
|
||||||
}
|
|
||||||
|
|
||||||
// 🔥 北京时间（UTC+8）偏移，分钟
|
|
||||||
const BEIJING_OFFSET_MINUTES = 480;
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 取「按北京时间读出来」的当前时刻。
|
|
||||||
*
|
|
||||||
* 🔥 为什么不能直接 `new Date()`（2026-10-21 生产实测踩坑）：
|
|
||||||
* 生产容器 `/etc/timezone = Etc/UTC`（date = UTC），而 MSSQL `GETDATE()` 返回**北京时间**，
|
|
||||||
* mssql 驱动 `useUTC:false` 又把 DB 值构造成「墙钟当 UTC」的 Date。
|
|
||||||
* 于是「服务器 now」比「库里的时间」慢 8 小时 —— **北京时间每天 00:00~08:00，
|
|
||||||
* 服务端取到的「今天」是昨天**，轮次窗口 / 核验时刻整体错位
|
|
||||||
* （实测 08:04 跑 13:00 轮得 overdueUnshipped=3895，本地北京时区同一轮只有 6 单）。
|
|
||||||
*
|
|
||||||
* 做法：把真实时刻平移成一个「本地 getter 读出来正好是北京时间」的 Date，
|
|
||||||
* 这样 `getHours()/getDate()/formatDateTime()` 与库里的字符串可以直接比较。
|
|
||||||
* 本机已是东八区时平移量为 0，行为不变（测试无需改）。
|
|
||||||
*
|
|
||||||
* @param {Date} [base] 真实时刻，默认 `new Date()`
|
|
||||||
* @returns {Date} 本地 getter = 北京时间的 Date
|
|
||||||
*/
|
|
||||||
function beijingNow(base = new Date()) {
|
|
||||||
const shift = BEIJING_OFFSET_MINUTES + base.getTimezoneOffset();
|
|
||||||
return shift === 0 ? base : new Date(base.getTime() + shift * 60 * 1000);
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 用「关键词最长匹配」把仓库名归到主仓。
|
|
||||||
*
|
|
||||||
* ⚠️ **先判排除、再判归属**：被排除的仓（如「京仓-横林二仓京东云仓」）
|
|
||||||
* 即使名字里带主仓关键词，也直接返回 null —— 它的订单不计入任何主仓。
|
|
||||||
*
|
|
||||||
* @returns {object|null} CENTERS 里的元素；无法归属或被排除返回 null
|
|
||||||
*/
|
|
||||||
function resolveCenter(warehouseName) {
|
|
||||||
if (!warehouseName) return null;
|
|
||||||
const name = String(warehouseName);
|
|
||||||
for (const kw of SORTED_EXCLUSIONS) {
|
|
||||||
if (name.includes(kw)) return null;
|
|
||||||
}
|
|
||||||
for (const item of SORTED_KEYWORDS) {
|
|
||||||
if (name.includes(item.kw)) return item.center;
|
|
||||||
}
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 拉取仓库表并建立「主仓 → wms_co_id 列表」映射。
|
|
||||||
* 缓存 1 小时；仓库表变更不频繁，且新增子仓会自动被关键词捞到。
|
|
||||||
*/
|
|
||||||
async function loadCenterWarehouseMap(force = false) {
|
|
||||||
const fresh = Date.now() - warehouseCache.at < WAREHOUSE_CACHE_TTL_MS;
|
|
||||||
if (!force && fresh && warehouseCache.rows.length) {
|
|
||||||
return warehouseCache.rows;
|
|
||||||
}
|
|
||||||
// ⚠️ cloudDatabase.query() 直接返回 recordset 数组，不是 {recordset} 对象
|
|
||||||
const rows = (await cloudDatabase.query(
|
|
||||||
`SELECT Id, name, wms_co_id
|
|
||||||
FROM dbo.jst_warehouseInfo`,
|
|
||||||
{},
|
|
||||||
{ requestTimeout: 60000 }
|
|
||||||
)) || [];
|
|
||||||
const byCenter = new Map(CENTERS.map((c) => [c.key, []]));
|
|
||||||
const unmatched = [];
|
|
||||||
const excluded = [];
|
|
||||||
for (const row of rows) {
|
|
||||||
const name = String(row.name || '');
|
|
||||||
// 被业务排除的仓单独记录，方便日后核对「是不是排多了/排少了」
|
|
||||||
if (SORTED_EXCLUSIONS.some((kw) => name.includes(kw))) {
|
|
||||||
excluded.push({ wmsCoId: Number(row.wms_co_id), name });
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
const center = resolveCenter(name);
|
|
||||||
if (center && byCenter.has(center.key)) {
|
|
||||||
byCenter.get(center.key).push({
|
|
||||||
wmsCoId: Number(row.wms_co_id),
|
|
||||||
warehouseId: Number(row.Id),
|
|
||||||
name,
|
|
||||||
});
|
|
||||||
} else {
|
|
||||||
unmatched.push({ wmsCoId: Number(row.wms_co_id), name });
|
|
||||||
}
|
|
||||||
}
|
|
||||||
const list = CENTERS.map((c) => ({
|
|
||||||
key: c.key,
|
|
||||||
name: c.name,
|
|
||||||
placeholder: Boolean(c.placeholder),
|
|
||||||
warehouses: byCenter.get(c.key) || [],
|
|
||||||
}));
|
|
||||||
warehouseCache = {
|
|
||||||
at: Date.now(),
|
|
||||||
rows: list,
|
|
||||||
unmatchedCount: unmatched.length,
|
|
||||||
excluded,
|
|
||||||
};
|
|
||||||
return list;
|
|
||||||
}
|
|
||||||
|
|
||||||
function clearWarehouseCache() {
|
|
||||||
warehouseCache = { at: 0, rows: [] };
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 计算「当前已生效」的核验轮次。
|
|
||||||
*
|
|
||||||
* 13:00 之前 → **未到核验时间，返回 null**。
|
|
||||||
* 业务明确要求（2026-10-20 确认）：未到核验时刻不做核验，
|
|
||||||
* 前端显示「未到核验时间」，**不要回填昨天的数据** ——
|
|
||||||
* 昨天已结算的结果留到昨天，拿到今天看容易被当成今天的超时。
|
|
||||||
* 13:00~17:59 → 用 13:00 轮（今天 00:00~07:00 **审核** + 历史未发）
|
|
||||||
* 18:00 之后 → 用 18:00 轮（截止 16:00 前**审核** + 今天之前未发的历史单）
|
|
||||||
*
|
|
||||||
* 🔥 「含历史」是 2026-10-20 业务第三次纠偏：
|
|
||||||
* 原实现把下界卡在「今天 00:00」，只统计当天新单，把昨天及更早挂着没发的
|
|
||||||
* 单全漏掉了。业务口径是「……然后再看历史未发的订单」——
|
|
||||||
* 这是一个滚动累积的待发池，不按自然日切。
|
|
||||||
*
|
|
||||||
* @param {Date} now 北京时间（默认 `beijingNow()`，容器是 UTC 时也安全）
|
|
||||||
* @returns {object|null} null 表示当前不在任何核验时段内
|
|
||||||
*/
|
|
||||||
function resolveActiveRound(now = beijingNow()) {
|
|
||||||
const hour = now.getHours();
|
|
||||||
const minute = now.getMinutes();
|
|
||||||
const minutes = hour * 60 + minute;
|
|
||||||
let active = null;
|
|
||||||
for (const round of ROUNDS) {
|
|
||||||
if (minutes >= round.verifyHour * 60) active = round;
|
|
||||||
}
|
|
||||||
|
|
||||||
// 13:00 前：首轮核验还没开始，不做判定
|
|
||||||
if (!active) return null;
|
|
||||||
|
|
||||||
const y = now.getFullYear();
|
|
||||||
const m = pad2(now.getMonth() + 1);
|
|
||||||
const d = pad2(now.getDate());
|
|
||||||
// 护栏起点（不是业务下界，见 HISTORY_LOOKBACK_DAYS）
|
|
||||||
const floor = new Date(y, now.getMonth(), now.getDate() - HISTORY_LOOKBACK_DAYS);
|
|
||||||
const floorStr = `${floor.getFullYear()}-${pad2(floor.getMonth() + 1)}-${pad2(floor.getDate())} 00:00:00`;
|
|
||||||
return {
|
|
||||||
...active,
|
|
||||||
// deadline = 核验时刻：判「发了没发 / 超时多久」都用它
|
|
||||||
deadline: `${y}-${m}-${d} ${pad2(active.verifyHour)}:00:00`,
|
|
||||||
windowStart: floorStr,
|
|
||||||
// windowEnd = 订单窗口上界：SQL 的取数上界，**不是** deadline
|
|
||||||
windowEnd: `${y}-${m}-${d} ${pad2(active.windowEndHour)}:00:00`,
|
|
||||||
// 含历史未发单 —— 前端据此把「统计窗口 00:00~07:00」改成「截止 07:00 前（含历史）」
|
|
||||||
includeHistory: true,
|
|
||||||
date: `${y}-${m}-${d}`,
|
|
||||||
settled: false,
|
|
||||||
isPreviousDay: false,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 取「当天两轮」的完整描述（页面顶部展示用），不论是否已到时间。
|
|
||||||
*/
|
|
||||||
function describeRounds(now = beijingNow()) {
|
|
||||||
const y = now.getFullYear();
|
|
||||||
const m = pad2(now.getMonth() + 1);
|
|
||||||
const d = pad2(now.getDate());
|
|
||||||
const date = `${y}-${m}-${d}`;
|
|
||||||
const minutes = now.getHours() * 60 + now.getMinutes();
|
|
||||||
const floor = new Date(y, now.getMonth(), now.getDate() - HISTORY_LOOKBACK_DAYS);
|
|
||||||
const floorStr = `${floor.getFullYear()}-${pad2(floor.getMonth() + 1)}-${pad2(floor.getDate())} 00:00:00`;
|
|
||||||
return ROUNDS.map((r) => ({
|
|
||||||
key: r.key,
|
|
||||||
label: r.label,
|
|
||||||
date,
|
|
||||||
verifyHour: r.verifyHour,
|
|
||||||
deadline: `${date} ${pad2(r.verifyHour)}:00:00`,
|
|
||||||
windowStart: floorStr,
|
|
||||||
windowEnd: `${date} ${pad2(r.windowEndHour)}:00:00`,
|
|
||||||
includeHistory: true,
|
|
||||||
active: minutes >= r.verifyHour * 60,
|
|
||||||
}));
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 下一轮的核验时刻。
|
|
||||||
*
|
|
||||||
* ⚠️ 2026-10-20 第九版起**不再使用**：轮次归属本身就是按审核时间卡的，
|
|
||||||
* 「审核晚于 13:00 的单」根本进不了 13:00 轮，会自然落到 18:00 轮，
|
|
||||||
* 不需要额外顺延。函数保留是因为「按下一轮核验时刻算」这个业务表述
|
|
||||||
* 未来若用于别的口径（例如按创建时间分轮），逻辑还是这一套。
|
|
||||||
*
|
|
||||||
* @param {object} round resolveActiveRound / describeRounds 的返回项（需带 date/key）
|
|
||||||
* @returns {string} 'YYYY-MM-DD HH:mm:00'
|
|
||||||
*/
|
|
||||||
function nextRoundDeadline(round) {
|
|
||||||
const idx = ROUNDS.findIndex((r) => r.key === round.key);
|
|
||||||
if (idx >= 0 && idx + 1 < ROUNDS.length) {
|
|
||||||
return `${round.date} ${pad2(ROUNDS[idx + 1].verifyHour)}:00:00`;
|
|
||||||
}
|
|
||||||
// 当天最后一轮 → 次日首轮
|
|
||||||
const [y, m, d] = String(round.date).split('-').map(Number);
|
|
||||||
const next = new Date(y, (m || 1) - 1, (d || 1) + 1);
|
|
||||||
return `${next.getFullYear()}-${pad2(next.getMonth() + 1)}-${pad2(next.getDate())}`
|
|
||||||
+ ` ${pad2(ROUNDS[0].verifyHour)}:00:00`;
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
CENTERS,
|
|
||||||
ROUNDS,
|
|
||||||
HISTORY_LOOKBACK_DAYS,
|
|
||||||
EXCLUDED_WAREHOUSE_KEYWORDS,
|
|
||||||
resolveCenter,
|
|
||||||
centerWindowEndHour,
|
|
||||||
centerWindowEnd,
|
|
||||||
nextRoundDeadline,
|
|
||||||
loadCenterWarehouseMap,
|
|
||||||
clearWarehouseCache,
|
|
||||||
getWarehouseCache: () => warehouseCache,
|
|
||||||
resolveActiveRound,
|
|
||||||
describeRounds,
|
|
||||||
beijingNow,
|
|
||||||
BEIJING_OFFSET_MINUTES,
|
|
||||||
EXCLUDED_STATUS_SQL,
|
|
||||||
SHIPPED_STATUS,
|
|
||||||
PENDING_STATUS_SQL,
|
|
||||||
NOT_SPLIT_MERGED_SQL,
|
|
||||||
OUTBOUND_TABLES,
|
|
||||||
ORDER_STATE_TABLE,
|
|
||||||
SHIPPING_STATUS,
|
|
||||||
UNAUDITED_STATUS,
|
|
||||||
ABNORMAL_STATUS,
|
|
||||||
IGNORED_STATES,
|
|
||||||
CREATED_SOURCE_TABLES,
|
|
||||||
CREATED_BACKFILL_BATCH,
|
|
||||||
VOID_ORDER_STATUS,
|
|
||||||
SHIP_TIMELINESS_HOURS,
|
|
||||||
toNumber,
|
|
||||||
};
|
|
||||||
@ -1,775 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓储中心 24 小时发货时效 —— 服务层
|
|
||||||
*
|
|
||||||
* ═══════════════════════════════════════════════════════════════════════════
|
|
||||||
* 口径（2026-10-20 第九次修正，业务最终定版）
|
|
||||||
* ═══════════════════════════════════════════════════════════════════════════
|
|
||||||
* 业务原话（按时间顺序，最后一条为准）：
|
|
||||||
* 17:12「当日 7 点前订单（7 点前订单**按照审核时间算**），13:00 核验未发就算超时」
|
|
||||||
* 17:5x「当天 6:30 到 7 点审核的订单 13:00 核验；当天 7 点到 16 点审核的订单 18:00 核验；
|
|
||||||
* 然后再看历史未发的订单」
|
|
||||||
*
|
|
||||||
* ⟹ 三条铁律：
|
|
||||||
* ① **轮次归属看「审核时间」**（`last_oa_confirm_time`，聚水潭显示值）：
|
|
||||||
* 今天 00:00~07:00 审核 → 13:00 轮
|
|
||||||
* **截止今天 16:00 前审核**的单 → 18:00 轮
|
|
||||||
* （业务 2026-10-20 补正：18:00 核验的是 16:00 前**所有**审核过的单，
|
|
||||||
* 不是「今天 00:00~16:00」这一个自然日切片 —— 含今天之前审核、
|
|
||||||
* 至今没发的历史未发单，也含 7 点前审核到 13:00 还没发出的；
|
|
||||||
* 山东两仓 15:00、河南洛宁 13:00 是仓级例外，见 registry）
|
|
||||||
* ⚠️ **不看创建时间**：业务亲自指出的 9818476（创建 10-18 12:49 / 审核 10-20 13:06）
|
|
||||||
* 和 9823980（创建 10-18 20:40 / 审核 10-20 09:15）都是下午/上午才审的，
|
|
||||||
* 按创建时间会被错算进 13:00 轮 —— 第八版就是这么错的。
|
|
||||||
* ② **历史未发的单一律算**：昨天及更早审核、至今没发货的，两个轮次都要看到
|
|
||||||
* （它们早就该发了，不该等今天的分段窗口）。
|
|
||||||
* ③ **没有「满 24 小时」门槛**：到核验时刻仍未发就是超时，哪怕只等了 2 小时。
|
|
||||||
* 第七版加了 24h 门槛，13:00 轮永远看不到当天那批，被业务打回。
|
|
||||||
* ④ **自提 / 中铁 / 壹米滴答 三个快递不考核**（业务 2026-10-20 补充）：
|
|
||||||
* 按 `logistic_company_name` 包含匹配（库里是「中铁物流」「壹米滴答专线」），
|
|
||||||
* 命中直接跳过，不进出口径任何一处数字，剔除量记在 `summary.carrierSkipped`。
|
|
||||||
*
|
|
||||||
* 已等时长 = **审核时间 → 本轮核验时刻**（13:00 / 18:00）。
|
|
||||||
* 🔥 审核时间取 last_oa_confirm_time（**最后一次**审核）——
|
|
||||||
* 这就是聚水潭订单列表「审核时间」那一列显示的值，业务拿它对账。
|
|
||||||
* 之前取首次审核，业务抽查 3 单（5127368691073091434 等）立刻发现不一致：
|
|
||||||
* 首次 10-18 13:15 vs 聚水潭 10-20 13:38。**别再改成 first_oa**。
|
|
||||||
* 因为窗口也按审核时间卡，「审核 13:06 的单」只会进 18:00 轮，
|
|
||||||
* 已等自然用 18:00 算，不会出现「0 分」。
|
|
||||||
* 明细列表并列「审核时间 / 发货时间」—— 业务 2026-10-20 要求**去掉创建时间**，
|
|
||||||
* 改成看各订单的发货时间（未发的显示「未发货」），对账时直接和聚水潭发货时间比。
|
|
||||||
*
|
|
||||||
* 🔥 「已发 / 未发」还是以聚水潭「销售订单」的发货状态为准（= 状态表 send_time）。
|
|
||||||
* **不要**改用运单号（logistic_id）判已发：实测同一店铺里，
|
|
||||||
* 「已发货」的单独有运单号 + 未揽收，「发货中」的单也有运单号 + 未揽收 —— 判不出来。
|
|
||||||
* 运单号只用来在明细里标「已打单 · 未揽收」，给业务一个「仓库干到哪一步」的线索。
|
|
||||||
*
|
|
||||||
* 数据源：`rpt.jst_order_express_details`（聚水潭订单状态准实时镜像，402 万行）
|
|
||||||
*
|
|
||||||
* 🔥 时区（2026-10-21 生产实测踩坑，别再裸用 `new Date()`）：
|
|
||||||
* · 生产容器 `/etc/timezone = Etc/UTC`，而 MSSQL `GETDATE()` 返回**北京时间**，
|
|
||||||
* mssql 驱动 `useUTC:false` 把 DB 值构造成「墙钟当 UTC」的 Date ⇒ 比真实 now 快 8 小时。
|
|
||||||
* · 后果：**北京时间每天 00:00~08:00，服务端取到的「今天」是昨天**，
|
|
||||||
* 轮次日期 / 核验窗口整体错位（实测 08:04 跑 13:00 轮得 3895 单，本地仅 6 单）。
|
|
||||||
* · 统一用 `registry.beijingNow()` 取「现在」（本机已是东八区时平移量为 0，行为不变）。
|
|
||||||
* **不要**去改容器 TZ —— 会波及全部既有定时任务。
|
|
||||||
*
|
|
||||||
* · 窗口归属 / 时长基准 = `last_oa_confirm_time`（最后一次审核 = 聚水潭显示值；
|
|
||||||
* 缺失回退 first_oa / 创建时间 / 付款时间），来源写进 `benchmarkSource`。
|
|
||||||
* · 创建时间（**仅供展示对账**） = `jst_Orders.created` / `jst_qmcust_orderlist.created`
|
|
||||||
* 🔥 状态表里**没有**这一列，必须回订单表按 `o_id = inner_order_id` 补：
|
|
||||||
* · `createdAt`（状态表那个 datetime2）= 同步落库时间，晚 1.5~3.5h，**不能用**
|
|
||||||
* · `created` 才是聚水潭订单列表里的「创建时间」（比下单晚 15~30 秒）
|
|
||||||
* · 已发货 = `send_time` 非空（已发货单 100% 有值）
|
|
||||||
* · 待发货 = `send_time` 为空 且 `order_status_name = 发货中`
|
|
||||||
* · 仓库 = `warehouse_name`（直接套 CENTERS 关键词归属主仓）
|
|
||||||
*
|
|
||||||
* ── 为什么弃用 jst_Orders.status（前三版全栽在这）──────────────────────────
|
|
||||||
* 订单表的 `status` 是**下单那一刻的快照**，之后聚水潭侧取消、发货前售后、
|
|
||||||
* 审核通过都不会回写。实测（2026-10-20）业务反馈「聚水潭查不到」的 6 单：
|
|
||||||
* 订单表 status 全是 `WaitConfirm`（看起来像待发货），
|
|
||||||
* 状态表真实状态是 **已取消**（标签带「发货前售后」），另 1 单是 **异常**。
|
|
||||||
* ⟹ 所以「状态 / 是否已发」一律以状态表为准，**订单表只用来补创建时间**。
|
|
||||||
*
|
|
||||||
* 时间列语义（已逐一实测，别再猜）：
|
|
||||||
* · `order_date` / `pay_date` —— 平台下单 / 付款时间（客户那边的时间）
|
|
||||||
* · `created`（订单表） —— ✅ **聚水潭创建时间**（展示用，比下单晚 15~30 秒）
|
|
||||||
* · `createTime`/`updateTime` —— 数仓灌库时间（带毫秒、批量、滞后约 5 分钟）
|
|
||||||
* · `modified` —— ⚠️ 最后修改时间，每天凌晨被批量刷新，不可用
|
|
||||||
* · `first_oa_confirm_time` —— 首次审单时间（审核时间缺失时的第二顺位回退）
|
|
||||||
* · `last_oa_confirm_time` —— ✅ **最新审核时间（本版考核基准）**
|
|
||||||
* · `send_time` —— **发货时间**
|
|
||||||
* · `query_time` —— 本表快照时间（判数据新鲜度）
|
|
||||||
*
|
|
||||||
* ── 三态分流（互斥）─────────────────────────────────────────────────────
|
|
||||||
* 超时未发货 = 发货中 + send_time 空 + 审核时间已过本轮窗口上界（07:00/16:00）
|
|
||||||
* → orders（考核仓库）
|
|
||||||
* 不计考核 = 已支付待审核（没审单）/ 异常（订单异常） → heldOrders
|
|
||||||
* 不展示 = 已发货 / 已取消（作废）/ 等供销商|外仓发货 → 直接丢弃
|
|
||||||
* 🔥 作废单（已取消）不考核：近 30 天 64,440 单，是「发货中」2,448 单的 26 倍，
|
|
||||||
* 不排除的话整页都是客户取消掉的单。
|
|
||||||
*
|
|
||||||
* ── 核验轮次（业务给定）──────────────────────────────────────────────────
|
|
||||||
* `verifyHour` —— 几点核验（13:00 / 18:00），判「超时多久」用它
|
|
||||||
* `windowEndHour` —— 只看该时刻**前审核**的单（07:00 / 16:00，仓级例外见 registry）
|
|
||||||
* ⚠️ 两者不是同一个东西，别合成一个字段
|
|
||||||
* ⚠️ 也**不要**再引入「满 N 小时才算超时」的门槛（第七版踩过，会被业务打回）
|
|
||||||
* ⚠️ 窗口**要**卡审核时间（第九版定版）。第六版曾因「卡审核时间 13:00 轮只剩 2 单」
|
|
||||||
* 退回创建时间，结果 9818476 / 9823980 这类下午才审的单被错算进 13:00 轮 →
|
|
||||||
* 业务亲自纠正：「7 点前订单**按照审核时间算**」。审核时间少是因为 13:00 轮本来就
|
|
||||||
* 只该有早上那批，不是数据不对。
|
|
||||||
*
|
|
||||||
* ── 性能（2026-10-20 实测，四个坑都踩过）──────────────────────────────────
|
|
||||||
* ① **不要 SELECT 宽列**。同一 WHERE 只取 2 列 0.7s，取 15 列（含
|
|
||||||
* `order_labels` / `buyer_message` / `remark`）**54s** —— 视图没法做
|
|
||||||
* 覆盖扫描，多取一列就是几万次基表回表。本表只投影 10 个窄列。
|
|
||||||
* ② **不要回订单表补金额**。`o_id IN (400 个)` 打两张订单宽视图，单条实测
|
|
||||||
* **38.7s**。发货时效不需要金额，直接不做。
|
|
||||||
* （但补 `created` **可以**：只取两列时 9,676 个候选只要 14.5s + 2.9s。）
|
|
||||||
* ③ **不要额外查新鲜度**。`MAX(send_time)` 又是一次 402 万行扫描（21.1s）。
|
|
||||||
* 快照时间直接从主查询的 `query_time` 在 Node 里取 MAX。
|
|
||||||
* ④ `SELECT *` 更是灾难 —— 单 form 单号查一次 **5 分钟**不返回。
|
|
||||||
* ⑤ 走 `querySlow`，普通池 60s 池级超时 + 自动重试会把 9s 拖成 120s。
|
|
||||||
*
|
|
||||||
* ── 时区 ─────────────────────────────────────────────────────────────────
|
|
||||||
* 所有时间列都是**东八区本地时间**；服务与库都在东八区。
|
|
||||||
* **不要**在 Node 侧用 UTC 日期判断。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const cloudDatabase = require('../config/cloudDatabase');
|
|
||||||
const registry = require('./warehouseShipTimelinessRegistry');
|
|
||||||
|
|
||||||
const {
|
|
||||||
ORDER_STATE_TABLE,
|
|
||||||
SHIPPING_STATUS,
|
|
||||||
UNAUDITED_STATUS,
|
|
||||||
ABNORMAL_STATUS,
|
|
||||||
IGNORED_STATES,
|
|
||||||
CREATED_SOURCE_TABLES,
|
|
||||||
CREATED_BACKFILL_BATCH,
|
|
||||||
VOID_ORDER_STATUS,
|
|
||||||
resolveCenter,
|
|
||||||
} = registry;
|
|
||||||
|
|
||||||
// 明细上限：只用于页面展示，超出部分用 truncated 标记提示
|
|
||||||
const DEFAULT_DETAIL_LIMIT = 500;
|
|
||||||
const MAX_DETAIL_LIMIT = 2000;
|
|
||||||
|
|
||||||
// 状态表快照超过这个分钟数没刷新 → 页面提示「数据滞后」。
|
|
||||||
// 正常 ETL 每小时至少刷一轮（每小时约 1000 行有变化），90 分钟足够容错。
|
|
||||||
const STATE_STALE_MINUTES = 90;
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 不参与发货时效考核的快递（业务 2026-10-20 指定）：
|
|
||||||
* 自提 —— 客户自己来拉，仓库不负责派送
|
|
||||||
* 中铁 —— 中铁物流（大件专线）
|
|
||||||
* 壹米滴答 —— 专线物流（大件）
|
|
||||||
* 命中即可，用**物流公司名**包含匹配；库里的实际值是「中铁物流」「壹米滴答专线」这种。
|
|
||||||
* 只影响「超时未发」判定，不影响「已发」判定。
|
|
||||||
*/
|
|
||||||
const EXCLUDED_CARRIERS = ['自提', '中铁', '壹米滴答'];
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 订单表（= 聚水潭「销售订单」镜像）里「已发货」的状态值。
|
|
||||||
*
|
|
||||||
* 🔥 业务 2026-10-20 要求「已发/未发参考聚水潭销售订单页面」——
|
|
||||||
* 销售订单页面显示「已发货」= status `Sent`。`send_date` 很多店铺不回写
|
|
||||||
* （实测 103 单里 103 单都是空），所以必须把 status 也当依据。
|
|
||||||
* ⚠️ **不要**把 `Delivering`（发货中）算成已发 —— 那是「已审核待出库」，
|
|
||||||
* 正是本页要考核的对象；算进来整页就空了。
|
|
||||||
*/
|
|
||||||
const ORDER_SHIPPED_STATUS = ['Sent'];
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 结果缓存。
|
|
||||||
*
|
|
||||||
* 这张视图单次查询实测 10~60 秒（取决于缓存温度与库负载），页面又是
|
|
||||||
* `AUTO_REFRESH_MS` 定时轮询 —— 不缓存的话每轮轮询都会重压一次库，
|
|
||||||
* 页面也会一直转圈。缓存 key 含「轮次 + 日期 + limit」，
|
|
||||||
* 业务点「刷新」时前端带 `force=1` 绕过缓存强制重查。
|
|
||||||
*/
|
|
||||||
const CACHE_TTL_MS = Number(process.env.CANGKU_WST_CACHE_TTL_MS) || 5 * 60 * 1000;
|
|
||||||
let resultCache = { key: '', at: 0, data: null };
|
|
||||||
|
|
||||||
/** 清缓存（切轮次 / 手工排查时用） */
|
|
||||||
function clearShipTimelinessCache() {
|
|
||||||
resultCache = { key: '', at: 0, data: null };
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 把 datetime / Date / 字符串统一成 'YYYY-MM-DD HH:mm:ss'（东八区，不做时区换算） */
|
|
||||||
function formatDateTime(value) {
|
|
||||||
if (!value) return '';
|
|
||||||
if (value instanceof Date) {
|
|
||||||
if (Number.isNaN(value.getTime())) return '';
|
|
||||||
const p = (n) => String(n).padStart(2, '0');
|
|
||||||
return `${value.getFullYear()}-${p(value.getMonth() + 1)}-${p(value.getDate())}`
|
|
||||||
+ ` ${p(value.getHours())}:${p(value.getMinutes())}:${p(value.getSeconds())}`;
|
|
||||||
}
|
|
||||||
const s = String(value);
|
|
||||||
if (!s) return '';
|
|
||||||
return s.replace('T', ' ').replace(/\.\d+Z?$/, '').slice(0, 19);
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 两个时间文本相差多少分钟（to - from）；任一为空返回 0 */
|
|
||||||
function diffMinutes(fromText, toText) {
|
|
||||||
const a = formatDateTime(fromText);
|
|
||||||
const b = formatDateTime(toText);
|
|
||||||
if (!a || !b) return 0;
|
|
||||||
const pa = new Date(a.replace(' ', 'T')).getTime();
|
|
||||||
const pb = new Date(b.replace(' ', 'T')).getTime();
|
|
||||||
if (!Number.isFinite(pa) || !Number.isFinite(pb)) return 0;
|
|
||||||
return Math.floor((pb - pa) / 60000);
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 取「聚水潭订单状态」里所有未发货的单（发货中 / 待审核 / 异常）。
|
|
||||||
*
|
|
||||||
* 为什么不用 wms_co_id 过滤：本表只有 `warehouse_name`，没有仓 ID。
|
|
||||||
* 近 30 天三类合计约 1 万行，一次取回在 Node 侧按仓库名归属主仓，代价可接受。
|
|
||||||
*
|
|
||||||
* ⚠️ 只投影 11 个**窄列**：`order_labels`/`buyer_message`/`remark` 这类长文本
|
|
||||||
* 会把 0.7s 的查询拖到 54s（视图无法覆盖扫描，每行都要回基表）。
|
|
||||||
* ⚠️ `send_time IS NULL` 是关键：已发货单在这里 100% 有值。
|
|
||||||
*
|
|
||||||
* 🔥 2026-10-20 第八版：**不再把「创建 ≤ 核验−24h」下推到 SQL**。
|
|
||||||
* 本版口径是「到核验时刻未发即超时」，`send_time IS NULL` 就是候选；
|
|
||||||
* 窗口上界改在 Node 侧按**审核时间**判。SQL 里那两个时间列只是用来
|
|
||||||
* 判断窗口归属，不再参与「等了多少小时」的门槛。
|
|
||||||
*/
|
|
||||||
async function loadPendingStates(round) {
|
|
||||||
const rows = await cloudDatabase.querySlow(
|
|
||||||
// 🔥 时间列直接取原始 datetime，**不要**在 SQL 里 CONVERT 成字符串：
|
|
||||||
// CONVERT 会作用到扫描到的每一行（谓词下推不到视图里），实测把点查拖到 40s+；
|
|
||||||
// mssql 连接已配 useUTC:false，Node 侧 formatDateTime 用本地 getter 还原
|
|
||||||
// 就是库里存的北京时间，不会偏移 8 小时。
|
|
||||||
`SELECT e.so_id, e.inner_order_id, e.shop_name, e.warehouse_name,
|
|
||||||
e.order_status_name, e.logistic_status_name,
|
|
||||||
e.logistic_id, e.logistic_company_name,
|
|
||||||
e.pay_time, e.first_oa_confirm_time, e.last_oa_confirm_time,
|
|
||||||
e.send_time, e.query_time
|
|
||||||
FROM dbo.${ORDER_STATE_TABLE} e
|
|
||||||
WHERE e.send_time IS NULL
|
|
||||||
AND e.pay_time >= @windowStart
|
|
||||||
AND e.order_status_name IN (@shipStatus, @st1, @st2)`,
|
|
||||||
{
|
|
||||||
shipStatus: SHIPPING_STATUS,
|
|
||||||
st1: UNAUDITED_STATUS,
|
|
||||||
st2: ABNORMAL_STATUS,
|
|
||||||
windowStart: round.windowStart,
|
|
||||||
},
|
|
||||||
// 视图谓词下推一般，给足超时；不走普通池（60s 池级超时 + 自动重试会把 9s 拖成 120s）
|
|
||||||
{ connectRequestTimeoutMs: 300000 }
|
|
||||||
);
|
|
||||||
return rows || [];
|
|
||||||
}
|
|
||||||
|
|
||||||
/** 并发跑任务，最多 `limit` 个同时在飞（不把连接池打满） */
|
|
||||||
async function mapLimit(items, limit, worker) {
|
|
||||||
const out = [];
|
|
||||||
let cursor = 0;
|
|
||||||
const runners = Array.from({ length: Math.min(limit, items.length) }, async () => {
|
|
||||||
for (;;) {
|
|
||||||
const i = cursor;
|
|
||||||
cursor += 1;
|
|
||||||
if (i >= items.length) return;
|
|
||||||
out[i] = await worker(items[i], i);
|
|
||||||
}
|
|
||||||
});
|
|
||||||
await Promise.all(runners);
|
|
||||||
return out;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 回订单表补「起算点 + 作废事实」。
|
|
||||||
*
|
|
||||||
* 状态表 `jst_order_express_details` 里没有聚水潭创建时间（`createdAt` 是同步落库
|
|
||||||
* 时间，比付款晚 1.5~3.5 小时），只能回两张订单表按 `o_id = inner_order_id` 取
|
|
||||||
* `created`（稳定比下单晚 15~30 秒，即聚水潭订单列表里的「创建时间」）。
|
|
||||||
*
|
|
||||||
* 🔥 同一趟把**作废事实**也取回来（业务 2026-10-20 反馈作废单被算成超时）：
|
|
||||||
* 状态表的 `send_time` 对**被合并单 / 拆单父单不回写** —— 单子早随主单发走了，
|
|
||||||
* 状态表却还是「发货中 + send_time 空」。所以必须再看订单表的
|
|
||||||
* `status` / `send_date` / `is_merge` / `is_split`（见 registry.VOID_ORDER_STATUS）。
|
|
||||||
*
|
|
||||||
* ⚠️ 只投影这 6 个**窄列**。实测 9,676 个候选：窄列 14.5s + 2.9s，
|
|
||||||
* 一旦连 pay_amount / labels 一起取，单批 400 个就要 38.7s。
|
|
||||||
*
|
|
||||||
* @param {number[]} oids 内部单号
|
|
||||||
* @returns {Promise<Map<number, {createdAt:string, status:string, sendDate:string, void:boolean, shipped:boolean}>>}
|
|
||||||
*/
|
|
||||||
async function backfillOrderFacts(oids) {
|
|
||||||
const map = new Map();
|
|
||||||
if (!oids.length) return map;
|
|
||||||
|
|
||||||
let remaining = oids;
|
|
||||||
for (const table of CREATED_SOURCE_TABLES) {
|
|
||||||
if (!remaining.length) break;
|
|
||||||
const batches = [];
|
|
||||||
for (let i = 0; i < remaining.length; i += CREATED_BACKFILL_BATCH) {
|
|
||||||
batches.push(remaining.slice(i, i + CREATED_BACKFILL_BATCH));
|
|
||||||
}
|
|
||||||
|
|
||||||
const results = await mapLimit(batches, 4, async (batch) => {
|
|
||||||
try {
|
|
||||||
return await cloudDatabase.querySlow(
|
|
||||||
`SELECT o_id, created, status, send_date, is_merge, is_split
|
|
||||||
FROM dbo.${table} WHERE o_id IN (${batch.join(',')})`,
|
|
||||||
{},
|
|
||||||
{ connectRequestTimeoutMs: 300000 }
|
|
||||||
);
|
|
||||||
} catch (e) {
|
|
||||||
// 补不到不致命：调用方会回退到付款时间，不整页失败
|
|
||||||
return [];
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
for (const rows of results) {
|
|
||||||
for (const r of rows || []) {
|
|
||||||
const id = Number(r.o_id);
|
|
||||||
if (!Number.isFinite(id)) continue;
|
|
||||||
const status = String(r.status || '');
|
|
||||||
const sendDate = formatDateTime(r.send_date);
|
|
||||||
map.set(id, {
|
|
||||||
createdAt: formatDateTime(r.created),
|
|
||||||
status,
|
|
||||||
sendDate,
|
|
||||||
// 作废：被合并 / 被拆分 / 已取消 —— 这单不会自己发货
|
|
||||||
void: VOID_ORDER_STATUS.includes(status)
|
|
||||||
|| Number(r.is_merge) === 1
|
|
||||||
|| Number(r.is_split) === 1,
|
|
||||||
// 已发：订单表有发货时间，**或**销售订单状态已是「已发货」(Sent)。
|
|
||||||
// 业务 2026-10-20 口径：以聚水潭「销售订单」页面显示的发货状态为准。
|
|
||||||
shipped: !!sendDate || ORDER_SHIPPED_STATUS.includes(status),
|
|
||||||
});
|
|
||||||
}
|
|
||||||
}
|
|
||||||
remaining = remaining.filter((n) => !map.has(n));
|
|
||||||
}
|
|
||||||
return map;
|
|
||||||
}
|
|
||||||
|
|
||||||
function emptySummary() {
|
|
||||||
return {
|
|
||||||
// 超时未发货（考核仓库的部分）
|
|
||||||
overdueUnshipped: 0,
|
|
||||||
overdueCenterCount: 0,
|
|
||||||
oldestDays: 0,
|
|
||||||
// 不计考核（待审核 + 异常）—— 单独统计，不算仓库责任
|
|
||||||
heldCount: 0,
|
|
||||||
// 已剔除的作废 / 已发单（页面只作说明，不进考核）
|
|
||||||
voidCount: 0,
|
|
||||||
// 已剔除的「不考核快递」单量（自提 / 中铁 / 壹米滴答）
|
|
||||||
carrierSkipped: 0,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
function buildEmptyCenters(centerList) {
|
|
||||||
return centerList.map((c) => ({
|
|
||||||
key: c.key,
|
|
||||||
name: c.name,
|
|
||||||
placeholder: c.placeholder,
|
|
||||||
warehouseCount: c.warehouses.length,
|
|
||||||
warehouses: c.warehouses.map((w) => ({ wmsCoId: w.wmsCoId, name: w.name })),
|
|
||||||
overdueUnshipped: 0,
|
|
||||||
oldestDays: 0,
|
|
||||||
heldCount: 0,
|
|
||||||
}));
|
|
||||||
}
|
|
||||||
|
|
||||||
async function getShipTimeliness(options = {}) {
|
|
||||||
// 🔥 必须按北京时间取「现在」：生产容器是 UTC，而库里时间是北京时间，
|
|
||||||
// 裸 new Date() 会让北京时间 00:00~08:00 取到前一天（2026-10-21 实测）
|
|
||||||
const now = options.now instanceof Date ? options.now : registry.beijingNow();
|
|
||||||
const limit = Math.min(
|
|
||||||
Math.max(Number(options.limit) || DEFAULT_DETAIL_LIMIT, 1),
|
|
||||||
MAX_DETAIL_LIMIT
|
|
||||||
);
|
|
||||||
|
|
||||||
// ① 主仓清单（用于展示「含子仓 N 个」；归属判定走 warehouse_name 关键词）
|
|
||||||
const centerList = await registry.loadCenterWarehouseMap();
|
|
||||||
const pad2 = (n) => String(n).padStart(2, '0');
|
|
||||||
|
|
||||||
// ② 决定本轮截止时刻
|
|
||||||
const rounds = registry.describeRounds(now);
|
|
||||||
let round = null;
|
|
||||||
if (options.round) {
|
|
||||||
const target = registry.ROUNDS.find((r) => r.key === String(options.round).toUpperCase());
|
|
||||||
if (!target) {
|
|
||||||
const err = new Error(`未知的核验轮次: ${options.round}`);
|
|
||||||
err.statusCode = 400;
|
|
||||||
throw err;
|
|
||||||
}
|
|
||||||
round = rounds.find((r) => r.key === target.key);
|
|
||||||
if (!round) {
|
|
||||||
const err = new Error(`无法构造核验窗口: ${options.round}`);
|
|
||||||
err.statusCode = 500;
|
|
||||||
throw err;
|
|
||||||
}
|
|
||||||
} else {
|
|
||||||
round = registry.resolveActiveRound(now);
|
|
||||||
}
|
|
||||||
|
|
||||||
// 🔥 13:00 前没有轮次生效（业务口径）：直接返回「未到核验时间」，不查库
|
|
||||||
if (!round) {
|
|
||||||
const nextRound = rounds.find((r) => !r.active) || rounds[0];
|
|
||||||
return {
|
|
||||||
generatedAt: formatDateTime(now),
|
|
||||||
date: `${now.getFullYear()}-${pad2(now.getMonth() + 1)}-${pad2(now.getDate())}`,
|
|
||||||
round: null,
|
|
||||||
notStarted: true,
|
|
||||||
isPreviousDay: false,
|
|
||||||
rounds,
|
|
||||||
nextRoundAt: nextRound ? nextRound.deadline : '',
|
|
||||||
nextWindowEnd: nextRound ? nextRound.windowEnd : '',
|
|
||||||
deadline: '',
|
|
||||||
window: null,
|
|
||||||
summary: emptySummary(),
|
|
||||||
centers: buildEmptyCenters(centerList),
|
|
||||||
orders: [],
|
|
||||||
heldOrders: [],
|
|
||||||
truncated: false,
|
|
||||||
detailLimit: limit,
|
|
||||||
detailDegraded: false,
|
|
||||||
freshness: null,
|
|
||||||
note: `今日 ${pad2(rounds[0].verifyHour)}:00 首轮核验开始后才展示超时数据`,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
// ③ 取「未发货」全量（发货中 / 待审核 / 异常），Node 侧判主仓与超时
|
|
||||||
// 先看缓存：同一轮次 + 同一天 + 同一 limit，5 分钟内直接复用
|
|
||||||
const force = options.force === true
|
|
||||||
|| ['1', 'true', 'yes'].includes(String(options.force || '').toLowerCase());
|
|
||||||
const cacheKey = `${round.key}|${round.date}|${limit}`;
|
|
||||||
if (!force && resultCache.data && resultCache.key === cacheKey
|
|
||||||
&& Date.now() - resultCache.at < CACHE_TTL_MS) {
|
|
||||||
return {
|
|
||||||
...resultCache.data,
|
|
||||||
cached: true,
|
|
||||||
cacheAgeSec: Math.round((Date.now() - resultCache.at) / 1000),
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
let stateRows = [];
|
|
||||||
try {
|
|
||||||
stateRows = await loadPendingStates(round);
|
|
||||||
} catch (e) {
|
|
||||||
const err = new Error(`聚水潭订单状态表查询失败：${e.message}`);
|
|
||||||
err.statusCode = 502;
|
|
||||||
throw err;
|
|
||||||
}
|
|
||||||
|
|
||||||
// ③-b 补起算点「聚水潭创建时间」+ 作废事实（状态表两样都没有，回订单表取）
|
|
||||||
const oids = [...new Set(
|
|
||||||
stateRows.map((r) => Number(r.inner_order_id)).filter((n) => Number.isFinite(n))
|
|
||||||
)];
|
|
||||||
const orderFacts = await backfillOrderFacts(oids);
|
|
||||||
// 被剔除的作废 / 已发单计数（只用于页面说明，不进考核）
|
|
||||||
let voidCount = 0;
|
|
||||||
// 因「不考核快递」被跳过的单量（自提 / 中铁 / 壹米滴答），写进 summary 便于对账
|
|
||||||
let carrierSkipped = 0;
|
|
||||||
|
|
||||||
// ④ 分桶
|
|
||||||
const acc = new Map(centerList.map((c) => [c.key, {
|
|
||||||
pendingCount: 0,
|
|
||||||
oldestDays: 0,
|
|
||||||
heldCount: 0,
|
|
||||||
}]));
|
|
||||||
|
|
||||||
const pendingRows = [];
|
|
||||||
const heldRows = [];
|
|
||||||
const seenSo = new Set();
|
|
||||||
let snapshotAt = '';
|
|
||||||
|
|
||||||
for (const row of stateRows) {
|
|
||||||
// 快照时间：状态表最后一次刷新（顺带算，不再单独扫一遍 402 万行表）
|
|
||||||
const qt = formatDateTime(row.query_time);
|
|
||||||
if (qt > snapshotAt) snapshotAt = qt;
|
|
||||||
|
|
||||||
const center = resolveCenter(row.warehouse_name);
|
|
||||||
if (!center) continue; // 非 11 主仓（代发仓/未指定仓/POP 仓…）
|
|
||||||
const bucket = acc.get(center.key);
|
|
||||||
if (!bucket) continue;
|
|
||||||
|
|
||||||
const state = String(row.order_status_name || '');
|
|
||||||
// 🔥 作废单不考核 —— 业务 2026-10-20 明确「作废订单不用考核」。
|
|
||||||
// 状态表的 send_time 对**被合并单 / 拆单父单不回写**（案例 5127276315127080023：
|
|
||||||
// 状态表「发货中 + send_time 空」，订单表却是 Merged 且 send_date 有值、
|
|
||||||
// 出库单也早就生成了），所以必须回订单表再判一次，光信状态表会被冤枉。
|
|
||||||
const fact = orderFacts.get(Number(row.inner_order_id));
|
|
||||||
if (fact && (fact.void || fact.shipped)) {
|
|
||||||
voidCount += 1;
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
|
|
||||||
// SQL 里已经用状态白名单排除，这里再兜一次，防止以后有人改白名单漏掉
|
|
||||||
if (IGNORED_STATES.includes(state)) continue;
|
|
||||||
|
|
||||||
// 🔥 不考核的快递（业务 2026-10-20）：自提 / 中铁 / 壹米滴答 ——
|
|
||||||
// 走这三种运输方式的单不按仓储发货时效考核（自提客户自己来拉、
|
|
||||||
// 中铁和壹米滴答是专线/大件物流，揽收与在途都不受仓库控制）。
|
|
||||||
// 用**物流公司名**模糊匹配（库里的名字是「中铁物流」「壹米滴答专线」这种）。
|
|
||||||
const carrier = String(row.logistic_company_name || '').trim();
|
|
||||||
const hitCarrier = EXCLUDED_CARRIERS.find((k) => carrier.includes(k));
|
|
||||||
if (hitCarrier) {
|
|
||||||
carrierSkipped += 1;
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
|
|
||||||
// ── 窗口归属 = **审核时间**（业务 2026-10-20 最终定版，两次纠偏后的结论）────
|
|
||||||
// 业务原话：「当日 7 点前订单（7 点前订单**按照审核时间算**）……」
|
|
||||||
// 实测案例（业务亲自指出的两单）：
|
|
||||||
// · 9818476：创建 10-18 12:49，但**审核 10-20 13:06** → 不是 7 点前的单，13:00 轮不能出现
|
|
||||||
// · 9823980：创建 10-18 20:40，**审核 10-20 09:15** → 同理，归 18:00 轮
|
|
||||||
// ⟹ 「7 点前/16 点前」卡的是**审核时间**：审核 ≤ 07:00 归 13:00 轮，
|
|
||||||
// 审核 ≤ 16:00 归 18:00 轮（山东两仓 15:00、河南洛宁 13:00，见 registry）。
|
|
||||||
// ⚠️ 别看创建时间：客户凌晨下单、仓库上午才审的单，按创建时间会提前算超时。
|
|
||||||
// ⚠️ 审核时间取**最后一次**（last_oa），见下面 458 行开始的说明。
|
|
||||||
const createdAt = fact ? fact.createdAt : '';
|
|
||||||
const payAt = formatDateTime(row.pay_time);
|
|
||||||
const auditFirst = formatDateTime(row.first_oa_confirm_time);
|
|
||||||
const auditLast = formatDateTime(row.last_oa_confirm_time);
|
|
||||||
// 🔥 取**最后一次**审核（= 聚水潭订单列表里「审核时间」那一列显示的值）。
|
|
||||||
// 业务 2026-10-20 20:0x 抽查 3 单指出「审核时间跟系统里的不一致」，
|
|
||||||
// 根因就是我们之前取错了列（first_oa = 首次审核）：
|
|
||||||
// 5127368691073091434 首次 10-18 13:15 / 聚水潭显示 10-20 13:38
|
|
||||||
// 261019-670795046400872 首次 10-19 08:48 / 聚水潭显示 10-20 09:31
|
|
||||||
// 261019-558387771763179 首次 10-19 11:21 / 聚水潭显示 10-20 09:11
|
|
||||||
// ⟹ 页面必须跟聚水潭对齐，否则业务一对账就说「跑错了」。
|
|
||||||
const auditAt = auditLast || auditFirst;
|
|
||||||
const windowAt = auditAt || createdAt || payAt;
|
|
||||||
const benchmarkAt = windowAt;
|
|
||||||
const benchmarkSource = auditAt
|
|
||||||
? (auditLast ? 'last_audit' : 'first_audit')
|
|
||||||
: (createdAt ? 'created' : 'pay');
|
|
||||||
|
|
||||||
// 同一 so_id 可能因拆包出现多行（实测有），按 so_id + 窗口时间 去重
|
|
||||||
const dedupeKey = `${row.so_id}|${windowAt}`;
|
|
||||||
if (seenSo.has(dedupeKey)) continue;
|
|
||||||
seenSo.add(dedupeKey);
|
|
||||||
|
|
||||||
// ── 本轮核验范围（业务 2026-10-20 最终定版）────────────────────────────
|
|
||||||
// ① **今天的单按审核时间分段**：
|
|
||||||
// 今天 00:00 ~ 07:00 审核 → 13:00 轮核验
|
|
||||||
// **截止今天 16:00 前审核**的单 → 18:00 轮核验
|
|
||||||
// （= 16:00 前所有审核过的单，含 7 点前没发出的；不是「07:00~16:00」那一段。
|
|
||||||
// 山东两仓 15:00、河南洛宁 13:00 为仓级例外）
|
|
||||||
// ⟹ 今天 09:15 审核的单（9823980）、13:06 审核的单（9818476）
|
|
||||||
// **不进 13:00 轮**，只在 18:00 轮出现（业务亲自指出的两单）
|
|
||||||
// ② **历史未发的单一律算**（昨天及更早审核、至今没发货）—— 它们已经超时，
|
|
||||||
// 两个轮次都该看到，不受「今天 00:00 起」的限制。
|
|
||||||
// ③ 30 天护栏只为查询性能，不是业务边界。
|
|
||||||
const windowEndAt = registry.centerWindowEnd(center.key, round);
|
|
||||||
const todayStart = `${round.date} 00:00:00`;
|
|
||||||
if (windowAt && windowAt < round.windowStart) continue; // 超出 30 天护栏
|
|
||||||
if (windowAt && windowAt >= todayStart && windowAt > windowEndAt) continue;
|
|
||||||
|
|
||||||
const base = {
|
|
||||||
row,
|
|
||||||
center,
|
|
||||||
state,
|
|
||||||
createdAt,
|
|
||||||
payAt,
|
|
||||||
auditAt,
|
|
||||||
windowAt,
|
|
||||||
benchmarkAt,
|
|
||||||
benchmarkSource,
|
|
||||||
warehouseName: String(row.warehouse_name || ''),
|
|
||||||
};
|
|
||||||
|
|
||||||
// ── 不计考核：没审单（已支付待审核）或订单异常，都不该算仓库超时 ──────
|
|
||||||
if (state === UNAUDITED_STATUS || state === ABNORMAL_STATUS) {
|
|
||||||
bucket.heldCount += 1;
|
|
||||||
heldRows.push({
|
|
||||||
...base,
|
|
||||||
holdReason: state === UNAUDITED_STATUS ? '待审核' : '订单异常',
|
|
||||||
});
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
|
|
||||||
if (state !== SHIPPING_STATUS) continue; // 其余状态（已发货/已取消）不展示
|
|
||||||
|
|
||||||
// ── 超时判定：**到核验时刻仍未发货就是超时**（不再有「满 24 小时」门槛）
|
|
||||||
if (!benchmarkAt) {
|
|
||||||
bucket.heldCount += 1;
|
|
||||||
heldRows.push({ ...base, holdReason: '缺审核时间' });
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
// waited = 审核时间 → 本轮核验时刻（13:00 / 18:00）
|
|
||||||
// ⚠️ 因为窗口本身按审核时间卡（审核 ≤ 07:00 / 16:00），benchmark 必然 ≤ deadline，
|
|
||||||
// 这里不需要再处理「审核晚于核验」的情况 —— 那种单会自然落到下一轮：
|
|
||||||
// 审核 13:06 的单进不了 13:00 轮（07:00 上界），只在 18:00 轮出现，已等 = 18:00 − 13:06。
|
|
||||||
const waited = Math.max(0, diffMinutes(benchmarkAt, round.deadline));
|
|
||||||
|
|
||||||
bucket.pendingCount += 1;
|
|
||||||
const days = Math.floor(waited / 1440);
|
|
||||||
if (days > bucket.oldestDays) bucket.oldestDays = days;
|
|
||||||
pendingRows.push({ ...base, waited });
|
|
||||||
}
|
|
||||||
|
|
||||||
// ⑤ 排序：最久的排前面（业务一眼看最急的）
|
|
||||||
pendingRows.sort((a, b) => {
|
|
||||||
if (a.windowAt < b.windowAt) return -1;
|
|
||||||
if (a.windowAt > b.windowAt) return 1;
|
|
||||||
return 0;
|
|
||||||
});
|
|
||||||
heldRows.sort((a, b) => {
|
|
||||||
const x = a.windowAt || '';
|
|
||||||
const y = b.windowAt || '';
|
|
||||||
if (x < y) return -1;
|
|
||||||
if (x > y) return 1;
|
|
||||||
return 0;
|
|
||||||
});
|
|
||||||
|
|
||||||
const detailRows = pendingRows.slice(0, limit);
|
|
||||||
const heldDetail = heldRows.slice(0, limit);
|
|
||||||
|
|
||||||
const orders = detailRows.map((x) => {
|
|
||||||
const r = x.row;
|
|
||||||
return {
|
|
||||||
oId: String(r.inner_order_id || ''),
|
|
||||||
soId: String(r.so_id || ''),
|
|
||||||
shopName: String(r.shop_name || ''),
|
|
||||||
// 创建时间 = 聚水潭订单创建时间（业务 2026-10-20 已从明细列去掉，仅保留字段做回退基准）
|
|
||||||
createdAt: x.createdAt,
|
|
||||||
// 发货时间：本列表只取 send_time IS NULL 的单，所以这里恒为空 → 前端显示「未发货」
|
|
||||||
sendTime: formatDateTime(r.send_time),
|
|
||||||
// 付款时间（并列展示，方便对账）
|
|
||||||
payTime: x.payAt,
|
|
||||||
// 审核时间 = **考核基准**：决定进 13:00 轮还是 18:00 轮，已等时长也从它算
|
|
||||||
auditTime: x.auditAt,
|
|
||||||
// 基准时间实际取值（审核缺失时回退创建/付款）+ 来源标记
|
|
||||||
benchmarkTime: x.benchmarkAt,
|
|
||||||
benchmarkSource: x.benchmarkSource,
|
|
||||||
state: x.state,
|
|
||||||
logisticStatus: String(r.logistic_status_name || ''),
|
|
||||||
// 运单号 / 快递公司：有值说明仓库**已打单**（但还没揽收/回传发货时间）。
|
|
||||||
// 业务 2026-10-20 报「聚水潭显示已发货、页面显示未发货」，靠这两列能一眼看出卡在哪一步。
|
|
||||||
logisticId: String(r.logistic_id || '').trim(),
|
|
||||||
logisticCompany: String(r.logistic_company_name || '').trim(),
|
|
||||||
centerKey: x.center.key,
|
|
||||||
centerName: x.center.name,
|
|
||||||
warehouseName: x.warehouseName,
|
|
||||||
// 已等时长（小时，保留 1 位）与分钟（排序都用分钟）
|
|
||||||
waitedHours: Math.round((x.waited / 60) * 10) / 10,
|
|
||||||
overdueMinutes: x.waited,
|
|
||||||
};
|
|
||||||
});
|
|
||||||
|
|
||||||
const heldOrders = heldDetail.map((x) => {
|
|
||||||
const r = x.row;
|
|
||||||
const from = x.benchmarkAt || '';
|
|
||||||
return {
|
|
||||||
oId: String(r.inner_order_id || ''),
|
|
||||||
soId: String(r.so_id || ''),
|
|
||||||
shopName: String(r.shop_name || ''),
|
|
||||||
createdAt: x.createdAt,
|
|
||||||
sendTime: formatDateTime(r.send_time),
|
|
||||||
payTime: x.payAt,
|
|
||||||
auditTime: x.auditAt,
|
|
||||||
benchmarkTime: x.benchmarkAt,
|
|
||||||
benchmarkSource: x.benchmarkSource,
|
|
||||||
state: x.state,
|
|
||||||
holdReason: x.holdReason,
|
|
||||||
logisticStatus: String(r.logistic_status_name || ''),
|
|
||||||
logisticId: String(r.logistic_id || '').trim(),
|
|
||||||
logisticCompany: String(r.logistic_company_name || '').trim(),
|
|
||||||
centerKey: x.center.key,
|
|
||||||
centerName: x.center.name,
|
|
||||||
warehouseName: x.warehouseName,
|
|
||||||
heldDays: from ? Math.floor(diffMinutes(from, round.deadline) / 1440) : 0,
|
|
||||||
};
|
|
||||||
});
|
|
||||||
|
|
||||||
const centers = centerList.map((c) => {
|
|
||||||
const b = acc.get(c.key) || { pendingCount: 0, oldestDays: 0, heldCount: 0 };
|
|
||||||
return {
|
|
||||||
key: c.key,
|
|
||||||
name: c.name,
|
|
||||||
placeholder: c.placeholder,
|
|
||||||
warehouseCount: c.warehouses.length,
|
|
||||||
warehouses: c.warehouses.map((w) => ({ wmsCoId: w.wmsCoId, name: w.name })),
|
|
||||||
overdueUnshipped: b.pendingCount,
|
|
||||||
oldestDays: b.oldestDays,
|
|
||||||
heldCount: b.heldCount,
|
|
||||||
// 该仓在本轮的窗口上界（可能是仓级例外，如山东两仓 15:00、河南洛宁 13:00）
|
|
||||||
windowEnd: registry.centerWindowEnd(c.key, round),
|
|
||||||
};
|
|
||||||
});
|
|
||||||
|
|
||||||
// 本轮有「仓级例外窗口」的仓（给前端提示用；没有就是空数组）
|
|
||||||
const windowOverrides = centerList
|
|
||||||
.filter((c) => registry.centerWindowEndHour(c.key, round.key) !== null)
|
|
||||||
.map((c) => ({
|
|
||||||
key: c.key,
|
|
||||||
name: c.name,
|
|
||||||
hour: registry.centerWindowEndHour(c.key, round.key),
|
|
||||||
windowEnd: registry.centerWindowEnd(c.key, round),
|
|
||||||
}));
|
|
||||||
|
|
||||||
const summary = centers.reduce((a, c) => {
|
|
||||||
a.overdueUnshipped += c.overdueUnshipped;
|
|
||||||
if (c.overdueUnshipped > 0) a.overdueCenterCount += 1;
|
|
||||||
if (c.oldestDays > a.oldestDays) a.oldestDays = c.oldestDays;
|
|
||||||
a.heldCount += c.heldCount || 0;
|
|
||||||
return a;
|
|
||||||
}, emptySummary());
|
|
||||||
summary.voidCount = voidCount;
|
|
||||||
summary.carrierSkipped = carrierSkipped;
|
|
||||||
|
|
||||||
// 新鲜度：快照时间取自上面主查询的 query_time（不再额外扫一遍 402 万行表）
|
|
||||||
// 🔥 2026-10-20 业务报「已发货的单还显示未发货」时才发现这里曾写死 stale:false ——
|
|
||||||
// 状态表是**准实时镜像**，上游 ETL 一停（实测当天 15:48 之后 0 行刷新），
|
|
||||||
// 15:48 之后发的货就永远进不来，页面只能基于旧快照判「未发」。
|
|
||||||
// 必须把滞后暴露到页面上，否则业务只会以为判定写错。
|
|
||||||
const snapshotAgeMin = snapshotAt ? diffMinutes(snapshotAt, formatDateTime(now)) : null;
|
|
||||||
const stale = snapshotAgeMin != null && snapshotAgeMin > STATE_STALE_MINUTES;
|
|
||||||
// 🔥 更狠的一条：快照**比本轮核验时刻还早** ⇒ 核验时刻那一刻的真实状态根本没看到。
|
|
||||||
// 实测 2026-10-20 18:54：快照停在 15:48，18:00 核验时早已发出的单全被判「未发货」，
|
|
||||||
// 业务连续报了 3 单都是这个原因。这种时候数字必然偏大，必须红字告警。
|
|
||||||
const coversDeadline = !!snapshotAt && snapshotAt >= round.deadline;
|
|
||||||
const freshness = {
|
|
||||||
stateMaxQuery: snapshotAt,
|
|
||||||
ageMinutes: snapshotAgeMin,
|
|
||||||
stale,
|
|
||||||
coversDeadline,
|
|
||||||
hint: [
|
|
||||||
stale
|
|
||||||
? `聚水潭订单状态镜像最新只到 ${String(snapshotAt).slice(11, 16)}（已 ${Math.round(snapshotAgeMin / 60 * 10) / 10} 小时未刷新）。`
|
|
||||||
: '',
|
|
||||||
!coversDeadline
|
|
||||||
? `数据还没覆盖到本轮核验时刻 ${String(round.deadline).slice(11, 16)}：`
|
|
||||||
+ '此后发出的单在这里仍显示「未发货」，下面的超时单量偏大，请以聚水潭实时状态为准。'
|
|
||||||
: '',
|
|
||||||
].filter(Boolean).join(' '),
|
|
||||||
};
|
|
||||||
|
|
||||||
const payload = {
|
|
||||||
generatedAt: formatDateTime(now),
|
|
||||||
date: round.date,
|
|
||||||
round: {
|
|
||||||
key: round.key,
|
|
||||||
label: round.label,
|
|
||||||
verifyHour: round.verifyHour,
|
|
||||||
windowEnd: round.windowEnd,
|
|
||||||
},
|
|
||||||
notStarted: false,
|
|
||||||
isPreviousDay: false,
|
|
||||||
rounds,
|
|
||||||
deadline: round.deadline,
|
|
||||||
// boundary='audit'：轮次归属、已等时长都按**首次审核时间**算
|
|
||||||
window: {
|
|
||||||
start: round.windowStart,
|
|
||||||
end: round.windowEnd,
|
|
||||||
includeHistory: true,
|
|
||||||
boundary: 'audit',
|
|
||||||
measuredBy: 'audit',
|
|
||||||
// 仓级例外窗口（山东青岗集/山东品牌 15:00、河南洛宁 13:00，仅 18:00 轮）
|
|
||||||
overrides: windowOverrides,
|
|
||||||
},
|
|
||||||
summary,
|
|
||||||
centers,
|
|
||||||
orders,
|
|
||||||
// 不考核的快递（前端文案直接用，避免两边各写一份）
|
|
||||||
excludedCarriers: EXCLUDED_CARRIERS,
|
|
||||||
// 不计考核清单（待审核 / 异常）—— 与 orders 互斥
|
|
||||||
heldOrders,
|
|
||||||
truncated: pendingRows.length > orders.length,
|
|
||||||
detailLimit: limit,
|
|
||||||
detailDegraded: false,
|
|
||||||
freshness,
|
|
||||||
cached: false,
|
|
||||||
cacheAgeSec: 0,
|
|
||||||
note: '',
|
|
||||||
};
|
|
||||||
|
|
||||||
resultCache = { key: cacheKey, at: Date.now(), data: payload };
|
|
||||||
return payload;
|
|
||||||
}
|
|
||||||
|
|
||||||
module.exports = {
|
|
||||||
getShipTimeliness,
|
|
||||||
clearShipTimelinessCache,
|
|
||||||
DEFAULT_DETAIL_LIMIT,
|
|
||||||
MAX_DETAIL_LIMIT,
|
|
||||||
};
|
|
||||||
@ -525,74 +525,6 @@ test('replenish index: hourly box/pallet stock surfaces same-day inbound (⑦-d)
|
|||||||
}
|
}
|
||||||
});
|
});
|
||||||
|
|
||||||
// ⑦-e 成品库存多仓合并（2026-10-17）：
|
|
||||||
// 实物搬到「简尚-横林二仓品牌仓」(16132681) 时，归属仓 (15870495) 为 0，
|
|
||||||
// 只查归属仓会把有货的成品算成 0（本次 5 个误报缺货 + 2 个误报预警）。
|
|
||||||
test('replenish index: sums stock across brand warehouse whitelist (⑦-e)', async () => {
|
|
||||||
const cloudDatabase = require('../src/config/cloudDatabase');
|
|
||||||
const svc = require('../src/services/mkhBomService');
|
|
||||||
const originalQuery = cloudDatabase.query;
|
|
||||||
const originalGetPool = cloudDatabase.getPool;
|
|
||||||
const captured = [];
|
|
||||||
|
|
||||||
cloudDatabase.query = async (sql) => {
|
|
||||||
captured.push(sql);
|
|
||||||
if (sql.includes('jst_packInventoryInfo')) {
|
|
||||||
// 箱表：同样的「老仓 0 / 新仓 10」格局
|
|
||||||
return [{ skuId: 'MKHDNZ0409260600788', qty: 10 }];
|
|
||||||
}
|
|
||||||
if (sql.includes('jst_inventoryInfo')) {
|
|
||||||
// 关键：SUM 之后返回的是**多仓合计**。旧口径只查单仓时这里拿不到这笔货。
|
|
||||||
return [{ skuId: 'MKHDNZ0409260600788', qty: 10 }];
|
|
||||||
}
|
|
||||||
if (sql.includes('pm_stockMonitor')) {
|
|
||||||
return [{
|
|
||||||
skuId: 'MKHDNZ0409260600788',
|
|
||||||
fifteenAvgSale: 1,
|
|
||||||
monitorStock: 0,
|
|
||||||
safetyDays: 3,
|
|
||||||
suggestStock: 0,
|
|
||||||
monitorDate: new Date('2026-10-17T00:00:00Z'),
|
|
||||||
}];
|
|
||||||
}
|
|
||||||
if (sql.includes('jst_salesOutboundInfo') || sql.includes('jst_qmcust_salesoutbound')) return [];
|
|
||||||
if (sql.includes('jst_qmcust_orderlist')) return [];
|
|
||||||
return [];
|
|
||||||
};
|
|
||||||
cloudDatabase.getPool = async () => ({
|
|
||||||
request: () => ({ input() {}, query: async () => ({ recordset: [] }) }),
|
|
||||||
});
|
|
||||||
|
|
||||||
try {
|
|
||||||
const index = await svc._private.loadReplenishIndex();
|
|
||||||
const row = index.bySku.get('MKHDNZ0409260600788');
|
|
||||||
assert.equal(row.stock, 10, '多仓求和后必须看到新仓的 10 件，不能是 0');
|
|
||||||
|
|
||||||
// SQL 层必须真的按白名单多仓取数，而不是退回单仓
|
|
||||||
const invSql = captured.find((s) => s.includes('jst_inventoryInfo'));
|
|
||||||
assert.ok(invSql.includes('IN (15870495,16132681)'),
|
|
||||||
`实时库存必须按仓白名单取数，实际: ${invSql}`);
|
|
||||||
assert.ok(invSql.includes('GROUP BY') && invSql.includes('SUM('),
|
|
||||||
'实时库存必须多仓 SUM + GROUP BY（旧版是 ORDER BY updateTime DESC 取首条）');
|
|
||||||
const packSql = captured.find((s) => s.includes('jst_packInventoryInfo'));
|
|
||||||
assert.ok(packSql.includes('IN (15870495,16132681)'),
|
|
||||||
`箱表必须按同一份仓白名单取数，实际: ${packSql}`);
|
|
||||||
} finally {
|
|
||||||
cloudDatabase.query = originalQuery;
|
|
||||||
cloudDatabase.getPool = originalGetPool;
|
|
||||||
svc.clearMkhBomCache();
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
// 白名单常量本身要被导出（新增同类仓时改这一处即可）
|
|
||||||
test('replenish index: brand warehouse whitelist contains main + Henglin No.2 brand warehouse', () => {
|
|
||||||
const svc = require('../src/services/mkhBomService');
|
|
||||||
const ids = svc._private.BRAND_WMS_CO_IDS;
|
|
||||||
assert.ok(Array.isArray(ids), 'BRAND_WMS_CO_IDS 必须是数组');
|
|
||||||
assert.ok(ids.includes(15870495), '必须含崔桥工厂品牌仓（归属主仓）');
|
|
||||||
assert.ok(ids.includes(16132681), '必须含横林二仓品牌仓（2026-10-13 新增）');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('order index: reads both channel tables, merges and dedupes by o_id', async () => {
|
test('order index: reads both channel tables, merges and dedupes by o_id', async () => {
|
||||||
const cloudDatabase = require('../src/config/cloudDatabase');
|
const cloudDatabase = require('../src/config/cloudDatabase');
|
||||||
const svc = require('../src/services/mkhBomService');
|
const svc = require('../src/services/mkhBomService');
|
||||||
@ -1354,117 +1286,6 @@ test('cache epoch: 未经清缓存时缓存照常命中（回归保护）', asyn
|
|||||||
}
|
}
|
||||||
});
|
});
|
||||||
|
|
||||||
// ─────────────────────────────────────────────────────────────────────────────
|
|
||||||
// 配件库存的箱表兜底（2026-09-30 修正）
|
|
||||||
//
|
|
||||||
// 症状：配件监控页显示该配件有 200 件（货位 ZT-30、正常），MKH-BOM 却把成品
|
|
||||||
// MKHDNZ0409260600849 判成「配件不足」、可组装数 0。
|
|
||||||
// 成因：配件监控页是「库存表 → 同仓箱表 → 快照」三级兜底，而 MKH-BOM 的
|
|
||||||
// loadComponentStock **只查 jst_inventoryInfo**。上游库存表滞后停在 0 时，
|
|
||||||
// 箱表（小时级）已经有货 → 两个页面结论相反。
|
|
||||||
// 口径：与配件监控页 buildRealtimeStockSql 对齐 —— 库存表有正数就认它，
|
|
||||||
// 为 0 / 缺行才用同仓 jst_packInventoryInfo 的 bin 非空行合计兜底。
|
|
||||||
// ─────────────────────────────────────────────────────────────────────────────
|
|
||||||
|
|
||||||
test('配件库存兜底：库存表为 0 / 缺行时用同仓箱表补，但正库存不被覆盖', async () => {
|
|
||||||
const cloudDatabase = require('../src/config/cloudDatabase');
|
|
||||||
const svc = require('../src/services/mkhBomService');
|
|
||||||
const originalQuery = cloudDatabase.query;
|
|
||||||
|
|
||||||
const ONLY_PACK = 'DNZTESTPACK01'; // 库存表 0、箱表 200 → 必须取 200（误判就是这里）
|
|
||||||
const HAS_INV = 'DNZTESTPACK02'; // 库存表 5、箱表 300 → 必须取 5（箱表只记部分装箱量）
|
|
||||||
const PACK_ZERO = 'DNZTESTPACK03'; // 库存表 0、箱表 0 → 0
|
|
||||||
const NEITHER = 'DNZTESTPACK04'; // 两表都没有 → 0
|
|
||||||
|
|
||||||
const INV_ROWS = [ // 库存表：滞后停在旧值
|
|
||||||
{ code: ONLY_PACK, qty: 0 },
|
|
||||||
{ code: HAS_INV, qty: 5 },
|
|
||||||
{ code: PACK_ZERO, qty: 0 },
|
|
||||||
];
|
|
||||||
const PACK_ROWS = [ // 同仓箱表（bin 非空）：小时级，已反映真实到货
|
|
||||||
{ code: ONLY_PACK, qty: 200 },
|
|
||||||
{ code: HAS_INV, qty: 300 },
|
|
||||||
{ code: PACK_ZERO, qty: 0 },
|
|
||||||
];
|
|
||||||
cloudDatabase.query = async (sql) => {
|
|
||||||
if (!sql.includes('jst_inventoryInfo')) return [];
|
|
||||||
// 按 SQL 形状分流：旧实现只查库存表（SQL 里没有箱表名）→ 拿不到箱表数据，
|
|
||||||
// 兜底失效、ONLY_PACK 被判 0（对照组 = 修复前必然失败）。
|
|
||||||
if (!sql.includes('jst_packInventoryInfo')) return INV_ROWS;
|
|
||||||
return [
|
|
||||||
...INV_ROWS.map((row) => ({ src: 'inv', ...row })),
|
|
||||||
...PACK_ROWS.map((row) => ({ src: 'pack', ...row })),
|
|
||||||
];
|
|
||||||
};
|
|
||||||
|
|
||||||
try {
|
|
||||||
svc.clearMkhBomCache();
|
|
||||||
const { stockMap, degraded } = await svc._private.loadComponentStock([
|
|
||||||
ONLY_PACK, HAS_INV, PACK_ZERO, NEITHER,
|
|
||||||
]);
|
|
||||||
assert.equal(degraded, false);
|
|
||||||
assert.equal(stockMap.get(ONLY_PACK), 200,
|
|
||||||
'库存表为 0 时必须用箱表兜底，否则配件被误判不足（本问题的根因）');
|
|
||||||
assert.equal(stockMap.get(HAS_INV), 5,
|
|
||||||
'库存表有正库存时必须以它为准，不能被箱表覆盖');
|
|
||||||
assert.equal(stockMap.get(PACK_ZERO), 0, '箱表也是 0 时不能补出正数');
|
|
||||||
assert.equal(stockMap.get(NEITHER), 0, '两表都查不到 = 该仓无库存，仍按 0');
|
|
||||||
} finally {
|
|
||||||
cloudDatabase.query = originalQuery;
|
|
||||||
svc.clearMkhBomCache();
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('配件库存兜底：单条查询取两张表，且箱表必须过滤 bin 为空的行（防腐化）', async () => {
|
|
||||||
const cloudDatabase = require('../src/config/cloudDatabase');
|
|
||||||
const svc = require('../src/services/mkhBomService');
|
|
||||||
const originalQuery = cloudDatabase.query;
|
|
||||||
|
|
||||||
const seen = [];
|
|
||||||
cloudDatabase.query = async (sql) => {
|
|
||||||
if (!sql.includes('jst_inventoryInfo')) return [];
|
|
||||||
seen.push(sql);
|
|
||||||
return [];
|
|
||||||
};
|
|
||||||
|
|
||||||
try {
|
|
||||||
svc.clearMkhBomCache();
|
|
||||||
await svc._private.loadComponentStock(['DNZTESTPACK05']);
|
|
||||||
assert.equal(seen.length, 1, '一个分片只应打一条查询（避免多一次往返与快照时点差异）');
|
|
||||||
const sql = seen[0];
|
|
||||||
assert.match(sql, /jst_packInventoryInfo/, '必须查箱表，否则兜底不存在');
|
|
||||||
assert.match(sql, /NULLIF\(LTRIM\(RTRIM\(p\.bin\)\), N''\)\s+IS NOT NULL/,
|
|
||||||
'箱表必须过滤 bin 为空的行 —— 那是装箱记录，不是库存');
|
|
||||||
assert.match(sql, /p\.wms_co_id = @componentStockWmsCoId/,
|
|
||||||
'箱表必须限定配件归属仓，不能跨仓汇总');
|
|
||||||
} finally {
|
|
||||||
cloudDatabase.query = originalQuery;
|
|
||||||
svc.clearMkhBomCache();
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('配件库存兜底：查询失败仍降级为「不做判定」，不得当成 0', async () => {
|
|
||||||
const cloudDatabase = require('../src/config/cloudDatabase');
|
|
||||||
const svc = require('../src/services/mkhBomService');
|
|
||||||
const originalQuery = cloudDatabase.query;
|
|
||||||
|
|
||||||
const CODE = 'DNZTESTPACK06';
|
|
||||||
cloudDatabase.query = async (sql) => {
|
|
||||||
if (!sql.includes('jst_inventoryInfo')) return [];
|
|
||||||
throw new Error('模拟连接抖动');
|
|
||||||
};
|
|
||||||
|
|
||||||
try {
|
|
||||||
svc.clearMkhBomCache();
|
|
||||||
const { stockMap, degraded } = await svc._private.loadComponentStock([CODE]);
|
|
||||||
assert.equal(degraded, true, '查询失败必须降级，让调用方放弃配件不足判定（宁可少标不误标）');
|
|
||||||
assert.equal(stockMap.get(CODE), undefined, '失败时不得把未知库存当作 0 返回');
|
|
||||||
} finally {
|
|
||||||
cloudDatabase.query = originalQuery;
|
|
||||||
svc.clearMkhBomCache();
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('operational refresh: 并发刷新只查一次运营数据，短时重试复用新结果', async () => {
|
test('operational refresh: 并发刷新只查一次运营数据，短时重试复用新结果', async () => {
|
||||||
const cloudDatabase = require('../src/config/cloudDatabase');
|
const cloudDatabase = require('../src/config/cloudDatabase');
|
||||||
const svc = require('../src/services/mkhBomService');
|
const svc = require('../src/services/mkhBomService');
|
||||||
|
|||||||
@ -1,171 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
const test = require('node:test');
|
|
||||||
const assert = require('node:assert/strict');
|
|
||||||
|
|
||||||
const {
|
|
||||||
buildGradeCase,
|
|
||||||
buildInClause,
|
|
||||||
fetchPickingBinSkuRows,
|
|
||||||
} = require('../src/services/pickingBinSalesAnalysis');
|
|
||||||
const {
|
|
||||||
PICKING_BIN_GRADE_RULES,
|
|
||||||
PICKING_BIN_DEFAULT_DAYS,
|
|
||||||
PICKING_BIN_WINDOW_OPTIONS,
|
|
||||||
PICKING_BIN_BIN_TYPES,
|
|
||||||
} = require('../src/config/pickingBinSalesAnalysis');
|
|
||||||
|
|
||||||
test('buildInClause 按位展开参数', () => {
|
|
||||||
const { clause, params } = buildInClause([101, 102], 'w');
|
|
||||||
assert.equal(clause, '@w0,@w1');
|
|
||||||
assert.deepEqual(params, { w0: 101, w1: 102 });
|
|
||||||
});
|
|
||||||
|
|
||||||
test('buildGradeCase 覆盖全部正向等级，并以销售=0 兜底', () => {
|
|
||||||
const expr = buildGradeCase();
|
|
||||||
PICKING_BIN_GRADE_RULES.filter((rule) => rule.lower > 0).forEach((rule) => {
|
|
||||||
assert.ok(expr.includes(`THEN '${rule.key}'`), `${rule.key} 未出现在分档表达式中`);
|
|
||||||
});
|
|
||||||
assert.ok(expr.includes("THEN 'slow2'"));
|
|
||||||
assert.ok(expr.includes("ELSE 'zero'"));
|
|
||||||
});
|
|
||||||
|
|
||||||
test('等级按商品销量判定（默认表达式取 s.salesQty，不含仓位汇总列）', () => {
|
|
||||||
const expr = buildGradeCase();
|
|
||||||
assert.ok(expr.includes('ISNULL(s.salesQty, 0) / @days'));
|
|
||||||
assert.ok(!expr.includes('x.salesQty'));
|
|
||||||
});
|
|
||||||
|
|
||||||
test('默认窗口为 30 天，统计范围固定为拣选位', () => {
|
|
||||||
assert.equal(PICKING_BIN_DEFAULT_DAYS, 30);
|
|
||||||
assert.ok(PICKING_BIN_WINDOW_OPTIONS.includes(30));
|
|
||||||
assert.deepEqual(PICKING_BIN_BIN_TYPES, ['拣选']);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('fetchPickingBinSkuRows 首参不是数据库实例时抛错', async () => {
|
|
||||||
await assert.rejects(
|
|
||||||
() => fetchPickingBinSkuRows({}, [101], { shipFrom: 'a', shipTo: 'b', days: 30 }),
|
|
||||||
TypeError
|
|
||||||
);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('fetchPickingBinSkuRows 缺失必要窗口参数时返回空数组，不打库', async () => {
|
|
||||||
let called = 0;
|
|
||||||
const db = { query: async () => { called += 1; return [{ skuId: 'S1' }]; } };
|
|
||||||
assert.deepEqual(await fetchPickingBinSkuRows(db, [], { shipFrom: 'a', shipTo: 'b', days: 30 }), []);
|
|
||||||
assert.deepEqual(await fetchPickingBinSkuRows(db, [101], { shipFrom: null, shipTo: 'b', days: 30 }), []);
|
|
||||||
assert.deepEqual(await fetchPickingBinSkuRows(db, [101], { shipFrom: 'a', shipTo: 'b', days: 0 }), []);
|
|
||||||
assert.equal(called, 0);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('fetchPickingBinSkuRows 按仓位×商品输出，等级与日销来自商品整档销量', async () => {
|
|
||||||
let captured = null;
|
|
||||||
const db = {
|
|
||||||
query: async (sqlText, params) => {
|
|
||||||
captured = { sqlText, params };
|
|
||||||
return [
|
|
||||||
{
|
|
||||||
wmsCoId: 101, binName: 'XA01-01-01', binType: '拣选', skuId: 'SKU1',
|
|
||||||
stockQty: 12, skuCount: 2, salesQty: 600, allocatedSalesQty: 300,
|
|
||||||
dailySales: 20, gradeKey: 'hot',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
wmsCoId: 101, binName: 'XA01-01-01', binType: '拣选', skuId: 'SKU2',
|
|
||||||
stockQty: 8, skuCount: 2, salesQty: 45, allocatedSalesQty: 22.5,
|
|
||||||
dailySales: 1.5, gradeKey: 'slow1',
|
|
||||||
},
|
|
||||||
];
|
|
||||||
},
|
|
||||||
};
|
|
||||||
|
|
||||||
const rows = await fetchPickingBinSkuRows(db, [101, 102], {
|
|
||||||
shipFrom: '2026-09-08 01:00:00',
|
|
||||||
shipTo: '2026-10-08 01:00:00',
|
|
||||||
days: 30,
|
|
||||||
});
|
|
||||||
|
|
||||||
assert.equal(rows.length, 2);
|
|
||||||
assert.deepEqual(rows.map((r) => r.skuId), ['SKU1', 'SKU2']);
|
|
||||||
// 同一仓位两个商品拆两行，库存是各商品在该仓位的实际库存
|
|
||||||
assert.deepEqual(rows.map((r) => r.stockQty), [12, 8]);
|
|
||||||
// 等级按商品自身日销，同一仓位的多行可以不同
|
|
||||||
assert.deepEqual(rows.map((r) => r.gradeKey), ['hot', 'slow1']);
|
|
||||||
// 分摊销量 = 商品销量 ÷ 占用的同类型仓位数（用于按行求和）
|
|
||||||
assert.deepEqual(rows.map((r) => r.allocatedSalesQty), [300, 22.5]);
|
|
||||||
assert.deepEqual(rows[0], {
|
|
||||||
wmsCoId: '101',
|
|
||||||
binName: 'XA01-01-01',
|
|
||||||
binType: '拣选',
|
|
||||||
skuId: 'SKU1',
|
|
||||||
stockQty: 12,
|
|
||||||
skuCount: 2,
|
|
||||||
salesQty: 600,
|
|
||||||
allocatedSalesQty: 300,
|
|
||||||
dailySales: 20,
|
|
||||||
gradeKey: 'hot',
|
|
||||||
});
|
|
||||||
|
|
||||||
// 参数必须带上两个仓库、发货窗口与天数
|
|
||||||
assert.equal(captured.params.w0, 101);
|
|
||||||
assert.equal(captured.params.w1, 102);
|
|
||||||
assert.equal(captured.params.v0, 101);
|
|
||||||
assert.equal(captured.params.shipFrom, '2026-09-08 01:00:00');
|
|
||||||
assert.equal(captured.params.shipTo, '2026-10-08 01:00:00');
|
|
||||||
assert.equal(captured.params.days, 30);
|
|
||||||
|
|
||||||
// 商品销量按占用仓位数分摊（供求和），但等级依据的是未分摊的商品销量
|
|
||||||
assert.ok(captured.sqlText.includes('/ NULLIF(sp.binCount, 0)'));
|
|
||||||
assert.ok(captured.sqlText.includes('ISNULL(s.salesQty, 0) / @days AS DECIMAL(18, 4)'));
|
|
||||||
// 统计范围固定为真实拣选仓位：pack_type=Bin 且 bin_group 为空；只统计有库存的行
|
|
||||||
assert.ok(captured.sqlText.includes("p.pack_type = N'Bin'"));
|
|
||||||
assert.ok(captured.sqlText.includes("ISNULL(p.bin_group, '') = ''"));
|
|
||||||
assert.ok(captured.sqlText.includes('ISNULL(p.qty, 0) <> 0'));
|
|
||||||
assert.ok(captured.sqlText.includes('HAVING ABS(SUM(CAST(b.binSkuQty AS DECIMAL(18, 2)))) > 0.0001'));
|
|
||||||
});
|
|
||||||
|
|
||||||
test('fetchPickingBinSkuRows 只统计真实拣选仓位，排除 Pack 箱记录且不带类型参数', async () => {
|
|
||||||
let captured = null;
|
|
||||||
const db = {
|
|
||||||
query: async (sqlText, params) => { captured = { sqlText, params }; return []; },
|
|
||||||
};
|
|
||||||
await fetchPickingBinSkuRows(db, [101], { shipFrom: 'a', shipTo: 'b', days: 15 });
|
|
||||||
// Pack 箱记录和存货位被排除，且不再有 binType IN (...) 的可变过滤
|
|
||||||
assert.ok(captured.sqlText.includes("p.pack_type = N'Bin'"));
|
|
||||||
assert.ok(captured.sqlText.includes("ISNULL(p.bin_group, '') = ''"));
|
|
||||||
assert.ok(!captured.sqlText.includes('b.binType IN'));
|
|
||||||
assert.equal(captured.params.t0, undefined);
|
|
||||||
assert.equal(captured.params.binTypes, undefined);
|
|
||||||
// 多来源 union 后必须再按 仓库+商品 汇总，否则同一仓位行会被拆成多行
|
|
||||||
assert.ok(captured.sqlText.includes('shipAgg AS ('));
|
|
||||||
assert.ok(captured.sqlText.includes('LEFT JOIN shipAgg s'));
|
|
||||||
assert.ok(!captured.sqlText.includes('LEFT JOIN ship s'));
|
|
||||||
});
|
|
||||||
|
|
||||||
test('销量覆盖 4 个来源：线上普通行 + 组合装展开 + 全民客户普通行 + 全民客户组合装展开', async () => {
|
|
||||||
let captured = null;
|
|
||||||
const db = {
|
|
||||||
query: async (sqlText, params) => { captured = { sqlText, params }; return []; },
|
|
||||||
};
|
|
||||||
await fetchPickingBinSkuRows(db, [101], { shipFrom: 'a', shipTo: 'b', days: 30 });
|
|
||||||
|
|
||||||
// ① 线上店铺订单普通行
|
|
||||||
assert.ok(captured.sqlText.includes('FROM rpt.jst_OrderItem'), '缺少 jst_OrderItem 普通行分支');
|
|
||||||
// ② 线上订单组合装行按映射表展开为子件
|
|
||||||
assert.ok(captured.sqlText.includes('JOIN rpt.jst_comboProductItem'), '缺少组合装展开分支');
|
|
||||||
assert.ok(captured.sqlText.includes("oi.sku_type = 'combine'"), '缺少组合装行识别条件');
|
|
||||||
// ③ 全民客户（B2B 分销）渠道普通行，排除拆单父单 Split 与问题单
|
|
||||||
assert.ok(captured.sqlText.includes('FROM rpt.jst_qmcust_orderlist_item'), '缺少 qmcust 分支');
|
|
||||||
assert.ok(captured.sqlText.includes("'Split', 'Question'"), 'qmcust 未排除拆单父单/问题单');
|
|
||||||
// 四个分支共用同一发货窗口
|
|
||||||
assert.equal(captured.sqlText.split('o.send_date >= @shipFrom').length, 5);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('gradeKey 缺失时兜底为 zero', async () => {
|
|
||||||
const db = { query: async () => [{ wmsCoId: 101, binName: 'X', binType: '拣选', skuId: 'S1', stockQty: 5 }] };
|
|
||||||
const rows = await fetchPickingBinSkuRows(db, [101], { shipFrom: 'a', shipTo: 'b', days: 15 });
|
|
||||||
assert.equal(rows[0].gradeKey, 'zero');
|
|
||||||
assert.equal(rows[0].salesQty, 0);
|
|
||||||
assert.equal(rows[0].allocatedSalesQty, 0);
|
|
||||||
assert.equal(rows[0].dailySales, 0);
|
|
||||||
assert.equal(rows[0].skuId, 'S1');
|
|
||||||
});
|
|
||||||
@ -94,9 +94,7 @@ test('fetchZeroSaleSkuRows 复用同一分档口径并关联 SKU 名称', async
|
|||||||
query: async (sqlText, params) => {
|
query: async (sqlText, params) => {
|
||||||
captured = { sqlText, params };
|
captured = { sqlText, params };
|
||||||
return [
|
return [
|
||||||
{ wmsCoId: 101, skuId: 'SKU-A', skuName: '款式A', binName: 'A01-01-1', stockQty: 7, salesQty: 0 },
|
{ wmsCoId: 101, skuId: 'SKU-A', skuName: '款式A', stockQty: 12, salesQty: 0 },
|
||||||
{ wmsCoId: 101, skuId: 'SKU-A', skuName: '款式A', binName: 'A02-03-1', stockQty: 5, salesQty: 0 },
|
|
||||||
{ wmsCoId: 101, skuId: 'SKU-B', skuName: '款式B', binName: null, stockQty: 3, salesQty: 0 },
|
|
||||||
];
|
];
|
||||||
},
|
},
|
||||||
};
|
};
|
||||||
@ -107,16 +105,10 @@ test('fetchZeroSaleSkuRows 复用同一分档口径并关联 SKU 名称', async
|
|||||||
days: 30,
|
days: 30,
|
||||||
});
|
});
|
||||||
|
|
||||||
// 每个仓位独立一行；无仓位的 SKU 保留一行（仓位为空、库存取总库存）
|
assert.equal(rows.length, 1);
|
||||||
assert.equal(rows.length, 3);
|
|
||||||
assert.equal(rows[0].wmsCoId, '101');
|
assert.equal(rows[0].wmsCoId, '101');
|
||||||
assert.equal(rows[0].skuName, '款式A');
|
assert.equal(rows[0].skuName, '款式A');
|
||||||
assert.equal(rows[0].binName, 'A01-01-1');
|
assert.equal(rows[0].stockQty, 12);
|
||||||
assert.equal(rows[0].stockQty, 7);
|
|
||||||
assert.equal(rows[1].binName, 'A02-03-1');
|
|
||||||
assert.equal(rows[1].stockQty, 5);
|
|
||||||
assert.equal(rows[2].binName, '');
|
|
||||||
assert.equal(rows[2].stockQty, 3);
|
|
||||||
|
|
||||||
// 口径必须与 fetchGradeRows 一致：同一段 gradeCase 表达式 + 同样的「有库存或有销量」过滤
|
// 口径必须与 fetchGradeRows 一致：同一段 gradeCase 表达式 + 同样的「有库存或有销量」过滤
|
||||||
assert.ok(captured.sqlText.includes("ELSE 'zero'"));
|
assert.ok(captured.sqlText.includes("ELSE 'zero'"));
|
||||||
@ -125,25 +117,4 @@ test('fetchZeroSaleSkuRows 复用同一分档口径并关联 SKU 名称', async
|
|||||||
assert.ok(captured.sqlText.includes("NOT IN ('Delete', 'Cancelled')"));
|
assert.ok(captured.sqlText.includes("NOT IN ('Delete', 'Cancelled')"));
|
||||||
assert.equal(captured.params.w0, 101);
|
assert.equal(captured.params.w0, 101);
|
||||||
assert.equal(captured.params.days, 30);
|
assert.equal(captured.params.days, 30);
|
||||||
|
|
||||||
// 系统仓位：来自 rpt.jst_packInventoryInfo，按「仓库+SKU+仓位」聚合出仓位级库存，
|
|
||||||
// 每仓位一行（COALESCE 兜底无仓位 SKU 取总库存），排除无仓位与零库存记录
|
|
||||||
assert.ok(captured.sqlText.includes('rpt.jst_packInventoryInfo'));
|
|
||||||
assert.ok(captured.sqlText.includes('COALESCE(bn.binQty, g.stockQty)'));
|
|
||||||
assert.ok(captured.sqlText.includes('binName'));
|
|
||||||
});
|
|
||||||
|
|
||||||
test('fetchZeroSaleSkuRows 的仓位必须按同一仓库匹配，避免跨仓错配', async () => {
|
|
||||||
let captured = null;
|
|
||||||
const db = {
|
|
||||||
query: async (sqlText) => {
|
|
||||||
captured = sqlText;
|
|
||||||
return [];
|
|
||||||
},
|
|
||||||
};
|
|
||||||
await fetchZeroSaleSkuRows(db, [101], {
|
|
||||||
shipFrom: '2026-08-28 01:00:00', shipTo: '2026-09-27 01:00:00', days: 30,
|
|
||||||
});
|
|
||||||
assert.ok(captured.includes('bn.wmsCoId = g.wmsCoId AND bn.skuId = g.skuId'));
|
|
||||||
assert.ok(captured.includes("ISNULL(p.qty, 0) <> 0"));
|
|
||||||
});
|
});
|
||||||
|
|||||||
@ -1,527 +0,0 @@
|
|||||||
/**
|
|
||||||
* 仓储中心物流转运异常 —— 口径回归测试（2026-10-21）
|
|
||||||
*
|
|
||||||
* 锁定几条最容易翻车的语义：
|
|
||||||
* ① 12 个发货仓的关键词归属：「山东青岗集仓唯品仓」不能被「山东青岗集仓」抢走；
|
|
||||||
* 品牌仓不能被主仓抢走；「京仓-横林二仓京东云仓」业务排除；
|
|
||||||
* 山东/河南的代发仓不能误并入。
|
|
||||||
* ② 核验批次：09:00 核验**前一日**发货的单；未到 09:00 时默认看昨天那批，
|
|
||||||
* 不能拿今天的空批次冒充结论。
|
|
||||||
* ③ 异常判定：已签收正常；未揽收/无物流单/异常/拒收/其他 → 异常；
|
|
||||||
* 运输中类只在「最后轨迹距核验时刻 ≥ 24h」才算运输停滞。
|
|
||||||
* ④ 一单多包裹：明细按包裹保留，汇总按**内部单号**去重（异常率不能虚高）。
|
|
||||||
* ⑤ 缓存：第二次命中缓存，force=1 必须绕过。
|
|
||||||
*
|
|
||||||
* ⚠️ 本文件不连数据库，纯逻辑 + 打桩。
|
|
||||||
*/
|
|
||||||
const test = require('node:test');
|
|
||||||
const assert = require('node:assert/strict');
|
|
||||||
|
|
||||||
const registry = require('../src/services/warehouseLogisticsExceptionRegistry');
|
|
||||||
|
|
||||||
// ── ① 仓库归属 ──────────────────────────────────────────────────────────
|
|
||||||
test('12 个发货仓都能按关键词归位', () => {
|
|
||||||
const cases = [
|
|
||||||
['简尚-横林二仓', 'HL2'],
|
|
||||||
['简尚-横林三仓', 'HL3'],
|
|
||||||
['简尚-横林二仓品牌仓', 'HL2_BRAND'],
|
|
||||||
['简尚-崔桥工厂仓', 'CQ'],
|
|
||||||
['简尚-崔桥工厂品牌仓', 'CQ_BRAND'],
|
|
||||||
['简尚-崔桥工厂半成品包装项目仓', 'CQ_WIP'],
|
|
||||||
['简尚-新苏北仓', 'XSB'],
|
|
||||||
['简尚-睢宁仓', 'SN'],
|
|
||||||
['简尚-山东青岗集仓', 'SD_QGJ'],
|
|
||||||
['简尚-山东品牌仓', 'SD_BRAND'],
|
|
||||||
['简尚-山东青岗集仓唯品仓', 'SD_QGJ_VIP'],
|
|
||||||
['简尚-河南洛宁仓', 'HN_LN'],
|
|
||||||
];
|
|
||||||
assert.equal(registry.CENTERS.length, 12);
|
|
||||||
for (const [name, key] of cases) {
|
|
||||||
assert.equal(registry.resolveCenter(name)?.key, key, name);
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('唯品仓 / 品牌仓不会被主仓的关键词抢走（最长匹配）', () => {
|
|
||||||
assert.notEqual(
|
|
||||||
registry.resolveCenter('简尚-山东青岗集仓唯品仓').key,
|
|
||||||
registry.resolveCenter('简尚-山东青岗集仓').key,
|
|
||||||
'唯品仓必须独立，不能并进青岗集仓'
|
|
||||||
);
|
|
||||||
assert.equal(registry.resolveCenter('简尚-横林二仓品牌仓').key, 'HL2_BRAND');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-崔桥工厂品牌仓').key, 'CQ_BRAND');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-崔桥工厂半成品包装项目仓').key, 'CQ_WIP');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('子仓能并入主仓，无关代发仓 / 京东云仓被排除', () => {
|
|
||||||
assert.equal(registry.resolveCenter('简尚-运营C横林二仓专用仓')?.key, 'HL2');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-分销部睢宁专用仓')?.key, 'SN');
|
|
||||||
assert.equal(registry.resolveCenter('京仓-山东青岗集京东云仓')?.key, 'SD_QGJ');
|
|
||||||
assert.equal(registry.resolveCenter('京仓-横林二仓京东云仓'), null, '业务指定排除');
|
|
||||||
for (const name of ['工厂-山东菏泽森美代发仓', '工厂-河南千优代发仓', '简尚-苏州福利品仓']) {
|
|
||||||
assert.equal(registry.resolveCenter(name), null, `${name} 不该并入任何主仓`);
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── ② 核验批次 ──────────────────────────────────────────────────────────
|
|
||||||
const at = (d, h, m = 0) => new Date(2026, 9, d, h, m, 0); // 2026-10-xx 本机时区
|
|
||||||
|
|
||||||
test('已过 09:00 → 核验今天这批（发货日是昨天）', () => {
|
|
||||||
const b = registry.resolveBatch(undefined, at(21, 9, 30));
|
|
||||||
assert.equal(b.verifyDate, '2026-10-21');
|
|
||||||
assert.equal(b.shipDate, '2026-10-20');
|
|
||||||
assert.equal(b.deadline, '2026-10-21 09:00:00');
|
|
||||||
assert.equal(b.windowStart, '2026-10-20 00:00:00');
|
|
||||||
assert.equal(b.windowEnd, '2026-10-21 00:00:00');
|
|
||||||
assert.equal(b.started, true);
|
|
||||||
assert.equal(b.isToday, true);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('未到 09:00 → 今天这批还没跑，默认退回昨天那批', () => {
|
|
||||||
const b = registry.resolveBatch(undefined, at(21, 8, 30));
|
|
||||||
assert.equal(b.verifyDate, '2026-10-20');
|
|
||||||
assert.equal(b.shipDate, '2026-10-19');
|
|
||||||
assert.equal(b.started, true, '昨天的批次早就到点了');
|
|
||||||
assert.equal(b.lookback, true);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('显式指定今天但还没到 09:00 → notStarted，不能给结论', async () => {
|
|
||||||
const b = registry.resolveBatch('2026-10-21', at(21, 8, 0));
|
|
||||||
assert.equal(b.started, false);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('批次护栏：未来日期压到今天，超过 30 天压到下限', () => {
|
|
||||||
const future = registry.resolveBatch('2026-12-01', at(21, 10, 0));
|
|
||||||
assert.equal(future.verifyDate, '2026-10-21');
|
|
||||||
const tooOld = registry.resolveBatch('2026-01-01', at(21, 10, 0));
|
|
||||||
assert.equal(tooOld.verifyDate, '2026-09-22', `回看下限应为今天-29天，实际 ${tooOld.verifyDate}`);
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── ③ 异常判定 ──────────────────────────────────────────────────────────
|
|
||||||
const batch = registry.resolveBatch('2026-10-21', at(21, 10, 0));
|
|
||||||
const svcPath = require.resolve('../src/services/warehouseLogisticsExceptionService');
|
|
||||||
const { classify } = require(svcPath);
|
|
||||||
|
|
||||||
test('已签收 = 正常；未揽收/无物流单/异常/拒收/其他 = 异常', () => {
|
|
||||||
const row = (o) => ({ logistic_id: 'L', logistic_status_name: '', logistic_time: null, ...o });
|
|
||||||
assert.equal(classify(row({ logistic_status_name: '已签收' }), batch), null);
|
|
||||||
assert.equal(classify(row({ logistic_status_name: '未揽收' }), batch), 'NOT_PICKED');
|
|
||||||
assert.equal(classify(row({ logistic_status_name: '无物流单' }), batch), 'NO_TRACKING');
|
|
||||||
assert.equal(classify(row({ logistic_status_name: '异常' }), batch), 'CARRIER_EXCEPTION');
|
|
||||||
assert.equal(classify(row({ logistic_status_name: '拒收' }), batch), 'RETURNED');
|
|
||||||
// 「其他」实测全是「包裹已换单退回」
|
|
||||||
assert.equal(classify(row({ logistic_status_name: '其他' }), batch), 'RETURNED');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('运输中 / 派送中一律不考核（有「运输」字样，往后中转记录不看）', () => {
|
|
||||||
// 2026-10-21 二次定版：业务明确「有『运输』字样的，往后中转记录不考核」
|
|
||||||
assert.equal(classify({
|
|
||||||
logistic_id: 'L', logistic_status_name: '运输中', logistic_time: '2026-10-20 08:00:00',
|
|
||||||
}), null, '运输中哪怕 25h 没新轨迹也不算异常');
|
|
||||||
assert.equal(classify({
|
|
||||||
logistic_id: 'L', logistic_status_name: '派送中', logistic_time: '2026-10-20 08:00:00',
|
|
||||||
}), null);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('已揽收：没有下一步中转才算异常，轨迹里出现运输/中转字样就算动起来了', () => {
|
|
||||||
const picked = (info) => classify({
|
|
||||||
logistic_id: 'L', logistic_status_name: '已揽收', logistic_time: '2026-10-21 04:00:00',
|
|
||||||
last_info: info,
|
|
||||||
});
|
|
||||||
// 只有「已揽收/已收取快件/库存中」，没有任何中转 → 卡在网点
|
|
||||||
assert.equal(picked('京东快递 已收取快件'), 'PICKED_NO_TRANSIT');
|
|
||||||
assert.equal(picked('中通快运【简尚家居】已揽收'), 'PICKED_NO_TRANSIT');
|
|
||||||
assert.equal(picked(''), 'PICKED_NO_TRANSIT');
|
|
||||||
// 轨迹里已经有运输/中转/发往 → 有下一步中转记录，不考核
|
|
||||||
assert.equal(picked('快件已发往【常州中转部】'), null);
|
|
||||||
assert.equal(picked('运输中，预计明日送达'), null);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('状态为空时按运单号区分：有号=未揽收，无号=无物流单', () => {
|
|
||||||
assert.equal(classify({ logistic_id: 'L1', logistic_status_name: '' }, batch), 'NOT_PICKED');
|
|
||||||
assert.equal(classify({ logistic_id: '', logistic_status_name: '' }, batch), 'NO_TRACKING');
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── ④ 服务层（打桩数据库）──────────────────────────────────────────────
|
|
||||||
const dbPath = require.resolve('../src/config/cloudDatabase');
|
|
||||||
|
|
||||||
function stubDb(rows) {
|
|
||||||
const calls = { times: 0, sql: [], params: [] };
|
|
||||||
const handler = async (sql, params) => {
|
|
||||||
calls.times += 1;
|
|
||||||
calls.sql.push(String(sql));
|
|
||||||
calls.params.push(params || {});
|
|
||||||
return rows;
|
|
||||||
};
|
|
||||||
require.cache[dbPath] = {
|
|
||||||
id: dbPath,
|
|
||||||
filename: dbPath,
|
|
||||||
loaded: true,
|
|
||||||
exports: { query: handler, querySlow: handler },
|
|
||||||
};
|
|
||||||
return calls;
|
|
||||||
}
|
|
||||||
|
|
||||||
const mk = (o) => ({
|
|
||||||
so_id: 'SO', inner_order_id: 1, shop_name: '测试店', warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
logistic_id: 'L1', logistic_company_name: '中通', logistic_status_name: '已签收',
|
|
||||||
send_time: '2026-10-20 10:00:00', logistic_time: '2026-10-20 18:00:00',
|
|
||||||
query_time: '2026-10-21 09:05:00', last_info: '', ...o,
|
|
||||||
});
|
|
||||||
|
|
||||||
const rows = [
|
|
||||||
// 1：一单两包裹 —— 一个未揽收、一个已签收 → 该单算异常，但只占 1 个「单」
|
|
||||||
mk({ inner_order_id: 1, so_id: 'SO-1', logistic_id: 'L1A', logistic_status_name: '未揽收', logistic_time: null }),
|
|
||||||
mk({ inner_order_id: 1, so_id: 'SO-1', logistic_id: 'L1B', logistic_status_name: '已签收' }),
|
|
||||||
// 2：山东青岗集仓唯品仓 · 异常
|
|
||||||
mk({ inner_order_id: 2, so_id: 'SO-2', warehouse_name: '简尚-山东青岗集仓唯品仓',
|
|
||||||
logistic_id: 'L2', logistic_status_name: '异常', logistic_time: '2026-10-20 20:00:00',
|
|
||||||
send_time: '2026-10-20 12:00:00' }),
|
|
||||||
// 3：横林二仓品牌仓 · 拒收
|
|
||||||
mk({ inner_order_id: 3, so_id: 'SO-3', warehouse_name: '简尚-横林二仓品牌仓',
|
|
||||||
logistic_id: 'L3', logistic_status_name: '拒收', logistic_time: '2026-10-21 07:00:00',
|
|
||||||
send_time: '2026-10-20 15:00:00' }),
|
|
||||||
// 4：京东云仓 —— 业务排除，不进任何主仓
|
|
||||||
mk({ inner_order_id: 4, so_id: 'SO-4', warehouse_name: '京仓-横林二仓京东云仓',
|
|
||||||
logistic_id: 'L4', logistic_status_name: '未揽收', logistic_time: null }),
|
|
||||||
// 5：代发仓 —— 不归属任何主仓
|
|
||||||
mk({ inner_order_id: 5, so_id: 'SO-5', warehouse_name: '工厂-山东菏泽森美代发仓',
|
|
||||||
logistic_id: 'L5', logistic_status_name: '未揽收', logistic_time: null }),
|
|
||||||
// 6：新苏北仓 · 已揽收后没有任何中转记录（最后轨迹 10-20 02:00）→ 已揽收未中转
|
|
||||||
mk({ inner_order_id: 6, so_id: 'SO-6', warehouse_name: '简尚-新苏北仓',
|
|
||||||
logistic_id: 'L6', logistic_status_name: '已揽收', logistic_time: '2026-10-20 02:00:00',
|
|
||||||
send_time: '2026-10-20 01:00:00', last_info: '京东快递 已收取快件' }),
|
|
||||||
// 7：睢宁仓 · 运输中 → 已动起来，不考核
|
|
||||||
mk({ inner_order_id: 7, so_id: 'SO-7', warehouse_name: '简尚-睢宁仓',
|
|
||||||
logistic_id: 'L7', logistic_status_name: '运输中', logistic_time: '2026-10-21 04:00:00',
|
|
||||||
send_time: '2026-10-20 09:00:00' }),
|
|
||||||
// 8：山东青岗集仓 · 无物流单
|
|
||||||
mk({ inner_order_id: 8, so_id: 'SO-8', warehouse_name: '简尚-山东青岗集仓',
|
|
||||||
logistic_id: '', logistic_status_name: '无物流单', logistic_time: null,
|
|
||||||
send_time: '2026-10-20 11:00:00' }),
|
|
||||||
// 9：横林三仓 · 已签收 → 正常
|
|
||||||
mk({ inner_order_id: 9, so_id: 'SO-9', warehouse_name: '简尚-横林三仓' }),
|
|
||||||
// 10：完全重复行（同单同运单号）→ 必须去重
|
|
||||||
mk({ inner_order_id: 8, so_id: 'SO-8', warehouse_name: '简尚-山东青岗集仓',
|
|
||||||
logistic_id: '', logistic_status_name: '无物流单', logistic_time: null,
|
|
||||||
send_time: '2026-10-20 11:00:00' }),
|
|
||||||
];
|
|
||||||
|
|
||||||
async function withStub(fn, stubRows = rows) {
|
|
||||||
const realDb = require.cache[dbPath];
|
|
||||||
const calls = stubDb(stubRows);
|
|
||||||
delete require.cache[svcPath];
|
|
||||||
delete require.cache[require.resolve('../src/services/warehouseLogisticsExceptionRegistry')];
|
|
||||||
try {
|
|
||||||
const svc = require(svcPath);
|
|
||||||
svc.clearLogisticsExceptionCache();
|
|
||||||
return await fn(svc, calls);
|
|
||||||
} finally {
|
|
||||||
if (realDb) require.cache[dbPath] = realDb;
|
|
||||||
else delete require.cache[dbPath];
|
|
||||||
delete require.cache[svcPath];
|
|
||||||
delete require.cache[require.resolve('../src/services/warehouseLogisticsExceptionRegistry')];
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
test('汇总按内部单号去重，明细按包裹保留；排除仓/代发仓不进统计', async () => {
|
|
||||||
await withStub(async (svc) => {
|
|
||||||
const data = await svc.getLogisticsExceptions({ date: '2026-10-21', now: at(21, 10, 0), limit: 100 });
|
|
||||||
|
|
||||||
// 归属主仓的单：1,2,3,6,7,8,9 = 7 单；包裹 8 个（1 号单两包）
|
|
||||||
assert.equal(data.summary.shippedOrders, 7);
|
|
||||||
assert.equal(data.summary.packageCount, 8, '重复行要去重');
|
|
||||||
// 异常单：1(未揽收) 2(异常) 3(拒收) 6(已揽收未中转) 8(无物流单) = 5
|
|
||||||
assert.equal(data.summary.exceptionOrders, 5);
|
|
||||||
assert.equal(data.summary.exceptionPackages, 5);
|
|
||||||
assert.equal(data.summary.centerCount, 5);
|
|
||||||
assert.equal(data.summary.exceptionRate, 71.4);
|
|
||||||
|
|
||||||
const typeCount = data.summary.byType;
|
|
||||||
assert.equal(typeCount.NOT_PICKED, 1);
|
|
||||||
assert.equal(typeCount.CARRIER_EXCEPTION, 1);
|
|
||||||
assert.equal(typeCount.RETURNED, 1);
|
|
||||||
assert.equal(typeCount.PICKED_NO_TRANSIT, 1);
|
|
||||||
assert.equal(typeCount.NO_TRACKING, 1);
|
|
||||||
|
|
||||||
// 唯品仓独立成仓，不并进青岗集仓
|
|
||||||
const vip = data.centers.find((c) => c.key === 'SD_QGJ_VIP');
|
|
||||||
assert.equal(vip.shippedOrders, 1);
|
|
||||||
assert.equal(vip.exceptionOrders, 1);
|
|
||||||
const qgj = data.centers.find((c) => c.key === 'SD_QGJ');
|
|
||||||
assert.equal(qgj.exceptionOrders, 1, '青岗集仓自己只有 1 单异常（无物流单那单）');
|
|
||||||
|
|
||||||
// 排除仓 / 代发仓不该出现在任何仓的统计里
|
|
||||||
assert.equal(data.centers.reduce((s, c) => s + c.shippedOrders, 0), 7);
|
|
||||||
|
|
||||||
// 明细按「发货→核验」等得最久的排前面（6 号单 10-20 01:00 发货，到 09:00 已 32 小时）
|
|
||||||
assert.equal(data.orders[0].oId, '6', `首行应为最久未动的单，实际 ${data.orders[0].oId}`);
|
|
||||||
assert.equal(data.orders[0].pendingHours, 32);
|
|
||||||
assert.equal(data.orders[0].staleHours, 31, '最后轨迹 10-20 02:00 → 距核验 31 小时');
|
|
||||||
|
|
||||||
// 数据源护栏：只查一张表、带发货日窗口
|
|
||||||
assert.equal(data.freshness.coversDeadline, true);
|
|
||||||
assert.equal(data.freshness.snapshotAt, '2026-10-21 09:05:00');
|
|
||||||
});
|
|
||||||
});
|
|
||||||
|
|
||||||
test('未到 09:00 的批次返回 notStarted，不查库也不给数字', async () => {
|
|
||||||
await withStub(async (svc, calls) => {
|
|
||||||
const data = await svc.getLogisticsExceptions({ date: '2026-10-21', now: at(21, 8, 0) });
|
|
||||||
assert.equal(data.notStarted, true);
|
|
||||||
assert.equal(data.summary.exceptionOrders, 0);
|
|
||||||
assert.equal(calls.times, 0, '未到点不该打库');
|
|
||||||
assert.equal(data.centers.length, 12);
|
|
||||||
});
|
|
||||||
});
|
|
||||||
|
|
||||||
test('结果缓存生效，force=1 绕过缓存重查', async () => {
|
|
||||||
await withStub(async (svc, calls) => {
|
|
||||||
const opts = { date: '2026-10-21', now: at(21, 10, 0) };
|
|
||||||
const first = await svc.getLogisticsExceptions(opts);
|
|
||||||
assert.equal(first.cached, false);
|
|
||||||
assert.equal(calls.times, 1);
|
|
||||||
|
|
||||||
const second = await svc.getLogisticsExceptions(opts);
|
|
||||||
assert.equal(second.cached, true);
|
|
||||||
assert.equal(calls.times, 1, '第二次应命中缓存');
|
|
||||||
|
|
||||||
const third = await svc.getLogisticsExceptions({ ...opts, force: 1 });
|
|
||||||
assert.equal(third.cached, false);
|
|
||||||
assert.equal(calls.times, 2, 'force=1 必须真查库');
|
|
||||||
});
|
|
||||||
});
|
|
||||||
|
|
||||||
test('明细 limit 生效并给出截断标记', async () => {
|
|
||||||
await withStub(async (svc) => {
|
|
||||||
const data = await svc.getLogisticsExceptions({ date: '2026-10-21', now: at(21, 10, 0), limit: 2 });
|
|
||||||
assert.equal(data.orders.length, 2);
|
|
||||||
assert.equal(data.truncated, true);
|
|
||||||
assert.equal(data.detailLimit, 2);
|
|
||||||
});
|
|
||||||
});
|
|
||||||
|
|
||||||
test('导出：放开明细上限、返回全量异常（不受列表 2000 上限限制）', async () => {
|
|
||||||
await withStub(async (svc) => {
|
|
||||||
const data = await svc.getLogisticsExceptionExportRows({
|
|
||||||
date: '2026-10-21',
|
|
||||||
now: at(21, 10, 0),
|
|
||||||
});
|
|
||||||
assert.equal(data.detailLimit, 5000, '导出的明细上限应放到 5000');
|
|
||||||
assert.equal(data.truncated, false);
|
|
||||||
assert.equal(data.rows.length, data.summary.exceptionPackages, '导出行数应等于异常包裹数');
|
|
||||||
assert.ok(data.batch?.label, '导出要带批次信息给文件名用');
|
|
||||||
assert.ok(Array.isArray(data.exclusions?.carriers), '导出也要带剔除口径');
|
|
||||||
// 明细字段够导出用（页面上那几列）
|
|
||||||
const row = data.rows[0];
|
|
||||||
for (const key of ['warehouseName', 'oId', 'soId', 'carrier', 'trackingNo',
|
|
||||||
'logisticStatus', 'exceptionLabel', 'sendTime', 'pendingHours']) {
|
|
||||||
assert.ok(key in row, `导出缺字段 ${key}`);
|
|
||||||
}
|
|
||||||
});
|
|
||||||
});
|
|
||||||
|
|
||||||
test('缓存按 limit 分键：页面列表(1000)与导出(5000)互不踢掉', async () => {
|
|
||||||
await withStub(async (svc, calls) => {
|
|
||||||
const opts = { date: '2026-10-21', now: at(21, 10, 0) };
|
|
||||||
await svc.getLogisticsExceptions({ ...opts, limit: 1000 });
|
|
||||||
assert.equal(calls.times, 1);
|
|
||||||
|
|
||||||
// 导出用另一个 limit —— 不能把页面那份缓存顶掉
|
|
||||||
await svc.getLogisticsExceptionExportRows(opts);
|
|
||||||
assert.equal(calls.times, 2, '导出是首次查，应真查库');
|
|
||||||
|
|
||||||
const listAgain = await svc.getLogisticsExceptions({ ...opts, limit: 1000 });
|
|
||||||
assert.equal(listAgain.cached, true, '页面那份缓存应还在');
|
|
||||||
assert.equal(calls.times, 2, '列表应命中缓存，不再查库');
|
|
||||||
});
|
|
||||||
});
|
|
||||||
|
|
||||||
test('快照没覆盖核验时刻时给出红色告警文案', async () => {
|
|
||||||
const staleRows = rows.map((r) => ({ ...r, query_time: '2026-10-21 06:10:00' }));
|
|
||||||
await withStub(async (svc) => {
|
|
||||||
const data = await svc.getLogisticsExceptions({ date: '2026-10-21', now: at(21, 10, 0) });
|
|
||||||
assert.equal(data.freshness.coversDeadline, false);
|
|
||||||
assert.match(data.freshness.hint, /没覆盖/u);
|
|
||||||
}, staleRows);
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── ⑥ 剔除口径（业务 2026-10-21 指定）───────────────────────────────────
|
|
||||||
test('不参与考核的承运商：顺丰系全剔 + 武进安能/中铁/壹米滴答/自提/线下/商家配送/京喜京东', () => {
|
|
||||||
const hit = (name) => registry.matchExcludedCarrier(name);
|
|
||||||
for (const name of [
|
|
||||||
'唯品顺丰',
|
|
||||||
'武进安能',
|
|
||||||
'武进安能大件',
|
|
||||||
'中铁物流',
|
|
||||||
'壹米滴答专线',
|
|
||||||
'自提',
|
|
||||||
'乐鑫达线下韵达配件',
|
|
||||||
'商家配送',
|
|
||||||
// 顺丰系：业务 2026-10-22「涉及到顺丰的快递全部剔除」，账号一个不漏
|
|
||||||
'顺丰速运',
|
|
||||||
'顺丰标快',
|
|
||||||
'洛宁顺丰干配',
|
|
||||||
'山东顺丰干配',
|
|
||||||
'苏北顺丰干配大件',
|
|
||||||
'苏北顺丰干配小件',
|
|
||||||
'山东顺丰大件',
|
|
||||||
'景瓴十方顺丰大件-莒南',
|
|
||||||
// 京东系只有京喜自营那条线剔（10-22 曾要求全剔，业务随即撤回）
|
|
||||||
'京喜京东快递',
|
|
||||||
'京喜京东快运',
|
|
||||||
]) {
|
|
||||||
assert.ok(hit(name), `${name} 应剔除，实际未命中`);
|
|
||||||
}
|
|
||||||
// 「唯品顺丰」要返回更具体的原因（页脚能看出是唯品那条线），但同样是剔除
|
|
||||||
assert.equal(hit('唯品顺丰'), '唯品顺丰');
|
|
||||||
assert.equal(hit('山东顺丰大件'), '顺丰');
|
|
||||||
assert.equal(hit('京喜京东快递'), '京喜京东');
|
|
||||||
// 🔥 别把「京喜京东」放大成「京东」：这些京东系账号要正常考核
|
|
||||||
assert.equal(hit('京东快递'), null);
|
|
||||||
assert.equal(hit('京东自营快递'), null);
|
|
||||||
assert.equal(hit('京东自营快递亿家达'), null);
|
|
||||||
assert.equal(hit('京东自营快递朴美'), null);
|
|
||||||
assert.equal(hit('崔桥京东特惠'), null);
|
|
||||||
assert.equal(hit('曹县京东快运'), null);
|
|
||||||
// 非顺丰/非京东的常规承运商不能误剔
|
|
||||||
assert.equal(hit('常州中通快运'), null);
|
|
||||||
assert.equal(hit('常州德邦'), null);
|
|
||||||
assert.equal(hit('百世快运'), null);
|
|
||||||
assert.equal(hit('睢宁德邦'), null);
|
|
||||||
assert.equal(hit('曹县德邦小件'), null);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('🔥 睢宁中通是条件剔除：睢宁仓照常考核，其它仓异地打单的剔', () => {
|
|
||||||
const hit = (name, centerKey) => registry.matchExcludedCarrier(name, centerKey);
|
|
||||||
// 睢宁仓自己用 → 正常
|
|
||||||
assert.equal(hit('睢宁中通', 'SN'), null);
|
|
||||||
// 异地打单（实测山东品牌仓 137 单未揽收、河南洛宁 20 单、崔桥工厂 6 单）→ 剔
|
|
||||||
assert.ok(hit('睢宁中通', 'SD_BRAND'));
|
|
||||||
assert.ok(hit('睢宁中通', 'HN_LN'));
|
|
||||||
assert.ok(hit('睢宁中通', 'CQ'));
|
|
||||||
assert.ok(hit('睢宁中通', 'HL2'));
|
|
||||||
// 没给仓（保守）→ 不剔，宁可少剔也不能误剔睢宁仓
|
|
||||||
assert.equal(hit('睢宁中通'), null);
|
|
||||||
// 别把「常州中通快运」等其它中通账号连带剔掉
|
|
||||||
assert.equal(hit('常州中通快运', 'SD_BRAND'), null);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('🔥 「武进安能」不能泛化成「安能」：常州安能新要正常考核', () => {
|
|
||||||
// 12 仓实测「常州安能新」3383 单/30 天，泛化「安能」会把整片正常单误剔
|
|
||||||
assert.equal(registry.matchExcludedCarrier('常州安能新'), null);
|
|
||||||
assert.equal(registry.matchExcludedCarrier('雅柏安能'), null);
|
|
||||||
assert.equal(registry.matchExcludedCarrier('常州中通快运'), null);
|
|
||||||
assert.equal(registry.matchExcludedCarrier(''), null);
|
|
||||||
assert.equal(registry.matchExcludedCarrier(null), null);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('已取消 / 作废 / 拦截的订单剔除', () => {
|
|
||||||
const hit = (status, labels) => registry.matchVoidedOrder(status, labels);
|
|
||||||
assert.ok(hit('已取消', ''), '订单状态已取消要剔');
|
|
||||||
assert.ok(hit('已作废', ''));
|
|
||||||
assert.ok(hit('已发货', '["发货后取消","发货后售后"]'), '发货后取消要剔');
|
|
||||||
assert.ok(hit('已发货', '["留言备注拦截","禁止拆分"]'), '留言备注拦截要剔');
|
|
||||||
assert.ok(hit('已发货', '["作废"]'));
|
|
||||||
// 正常单不能被误剔
|
|
||||||
assert.equal(hit('已发货', '["店铺-拼多多","已成团"]'), null);
|
|
||||||
assert.equal(hit('已发货', ''), null);
|
|
||||||
// 「取消预售」是营销标签，不是取消，不能剔
|
|
||||||
assert.equal(hit('已发货', '["取消预售"]'), null);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('剔除的单既不算异常，也不进发货分母', async () => {
|
|
||||||
const mixed = [
|
|
||||||
// 10：唯品顺丰 · 未揽收 → 本来会误报，必须整单消失
|
|
||||||
mk({ inner_order_id: 10, so_id: 'SO-10', logistic_company_name: '唯品顺丰',
|
|
||||||
logistic_status_name: '未揽收', logistic_time: null }),
|
|
||||||
// 11：中铁物流 · 异常
|
|
||||||
mk({ inner_order_id: 11, so_id: 'SO-11', logistic_company_name: '中铁物流',
|
|
||||||
logistic_status_name: '异常' }),
|
|
||||||
// 12：武进安能 · 已签收 → 连带分母也要消失
|
|
||||||
mk({ inner_order_id: 12, so_id: 'SO-12', logistic_company_name: '武进安能' }),
|
|
||||||
// 13：常州安能新 · 未揽收 → 必须留下（反例）
|
|
||||||
mk({ inner_order_id: 13, so_id: 'SO-13', logistic_company_name: '常州安能新',
|
|
||||||
logistic_status_name: '未揽收', logistic_time: null }),
|
|
||||||
// 14：正常承运商但订单已取消 → 剔
|
|
||||||
mk({ inner_order_id: 14, so_id: 'SO-14', logistic_company_name: '常州中通快运',
|
|
||||||
logistic_status_name: '无物流单', logistic_time: null,
|
|
||||||
order_status_name: '已取消' }),
|
|
||||||
// 15：正常承运商但发货后取消 → 剔
|
|
||||||
mk({ inner_order_id: 15, so_id: 'SO-15', logistic_company_name: '常州中通快运',
|
|
||||||
logistic_status_name: '未揽收', logistic_time: null,
|
|
||||||
order_labels: '["发货后取消","发货后售后"]' }),
|
|
||||||
// 16：正常单留作对照
|
|
||||||
mk({ inner_order_id: 16, so_id: 'SO-16', logistic_company_name: '常州中通快运' }),
|
|
||||||
// 17：京喜京东快递 · 已揽收未中转 → 京喜自营轨迹不回传，剔
|
|
||||||
mk({ inner_order_id: 17, so_id: 'SO-17', warehouse_name: '简尚-山东青岗集仓',
|
|
||||||
logistic_company_name: '京喜京东快递', logistic_status_name: '已揽收', logistic_time: '2026-10-20 20:00:00',
|
|
||||||
last_info: '快件已从【菏泽水岸城邦站】揽收完成' }),
|
|
||||||
// 18：睢宁中通在**非睢宁仓**（山东品牌仓）未揽收 → 异地打单，剔
|
|
||||||
mk({ inner_order_id: 18, so_id: 'SO-18', warehouse_name: '简尚-山东品牌仓',
|
|
||||||
logistic_company_name: '睢宁中通', logistic_status_name: '未揽收', logistic_time: null }),
|
|
||||||
// 19：睢宁中通在**睢宁仓**未揽收 → 本仓本账号，照常考核（反例，必须留）
|
|
||||||
mk({ inner_order_id: 19, so_id: 'SO-19', warehouse_name: '简尚-睢宁仓',
|
|
||||||
logistic_company_name: '睢宁中通', logistic_status_name: '未揽收', logistic_time: null }),
|
|
||||||
];
|
|
||||||
await withStub(async (svc) => {
|
|
||||||
const data = await svc.getLogisticsExceptions({ date: '2026-10-21', now: at(21, 10, 0), limit: 100 });
|
|
||||||
|
|
||||||
// 只剩 13、16、19 三单（10/11/12 承运商剔除，14/15 作废剔除，17 京喜、18 异地睢宁中通剔除）
|
|
||||||
assert.equal(data.summary.shippedOrders, 3, `分母应只剩 3 单，实际 ${data.summary.shippedOrders}`);
|
|
||||||
assert.equal(data.summary.exceptionOrders, 2, '只剩 13、19 两单异常');
|
|
||||||
assert.equal(data.summary.exceptionRate, 66.7);
|
|
||||||
assert.deepEqual(data.orders.map((o) => o.oId).sort(), ['13', '19']);
|
|
||||||
|
|
||||||
// 剔除量要如实返回，页面能展示
|
|
||||||
assert.equal(data.exclusions.carrierOrders, 5, '唯品顺丰/中铁/武进安能/京喜京东/异地睢宁中通 5 单');
|
|
||||||
assert.equal(data.exclusions.voidedOrders, 2, '已取消 + 发货后取消 2 单');
|
|
||||||
assert.equal(data.exclusions.carrierPackages, 5);
|
|
||||||
assert.equal(data.exclusions.voidedPackages, 2);
|
|
||||||
assert.ok(data.exclusions.carrierReasons['睢宁中通（非睢宁仓异地揽收）']);
|
|
||||||
assert.ok(data.exclusions.voidedReasons['订单已取消']);
|
|
||||||
assert.ok(data.exclusions.voidedReasons['标签含「发货后取消」']);
|
|
||||||
}, mixed);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('刷单 / 信誉单剔除（按订单标签，不按「特殊单」）', () => {
|
|
||||||
assert.equal(registry.matchNonRealOrder('["刷单待处理","特殊单","店铺-拼多多"]'), '刷单');
|
|
||||||
assert.equal(registry.matchNonRealOrder('["特殊单","禁止拆分","转空包发货"]'), '信誉单（转空包）');
|
|
||||||
// 反例：「特殊单」本身混着补差价/配件单，不能当判据
|
|
||||||
assert.equal(registry.matchNonRealOrder('["特殊单","补差价"]'), null);
|
|
||||||
assert.equal(registry.matchNonRealOrder('["店铺-京东","晚发赔"]'), null);
|
|
||||||
assert.equal(registry.matchNonRealOrder(''), null);
|
|
||||||
assert.equal(registry.matchNonRealOrder(null), null);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('刷单的包裹不进分母也不算异常', async () => {
|
|
||||||
const mixed = [
|
|
||||||
// 20：刷单 · 未揽收 → 假异常，必须消失
|
|
||||||
mk({ inner_order_id: 20, so_id: 'SO-20', logistic_status_name: '未揽收', logistic_time: null,
|
|
||||||
order_labels: '["刷单待处理","特殊单","店铺-拼多多"]' }),
|
|
||||||
// 21：信誉单（转空包）· 无物流单 → 消失
|
|
||||||
mk({ inner_order_id: 21, so_id: 'SO-21', logistic_status_name: '无物流单', logistic_time: null,
|
|
||||||
order_labels: '["特殊单","禁止拆分","转空包发货"]' }),
|
|
||||||
// 22：带「特殊单」但不是刷单/信誉单 → 必须留下
|
|
||||||
mk({ inner_order_id: 22, so_id: 'SO-22', logistic_status_name: '未揽收', logistic_time: null,
|
|
||||||
order_labels: '["特殊单","补差价"]' }),
|
|
||||||
];
|
|
||||||
await withStub(async (svc) => {
|
|
||||||
const data = await svc.getLogisticsExceptions({ date: '2026-10-21', now: at(21, 10, 0), limit: 100 });
|
|
||||||
assert.equal(data.summary.shippedOrders, 1, '只剩 22 号单');
|
|
||||||
assert.deepEqual(data.orders.map((o) => o.oId), ['22']);
|
|
||||||
assert.equal(data.exclusions.nonRealOrders, 2);
|
|
||||||
assert.equal(data.exclusions.nonRealReasons['刷单'], 1);
|
|
||||||
assert.equal(data.exclusions.nonRealReasons['信誉单（转空包）'], 1);
|
|
||||||
assert.deepEqual(data.exclusions.orderTypeLabels, ['刷单', '信誉单']);
|
|
||||||
}, mixed);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('未到 09:00 也返回剔除口径，前端不用判空', async () => {
|
|
||||||
await withStub(async (svc) => {
|
|
||||||
const data = await svc.getLogisticsExceptions({ date: '2026-10-21', now: at(21, 8, 0) });
|
|
||||||
assert.equal(data.notStarted, true);
|
|
||||||
assert.ok(Array.isArray(data.exclusions.carriers));
|
|
||||||
assert.ok(data.exclusions.carriers.includes('唯品顺丰'));
|
|
||||||
assert.equal(data.exclusions.carrierOrders, 0);
|
|
||||||
});
|
|
||||||
});
|
|
||||||
@ -1,394 +0,0 @@
|
|||||||
'use strict';
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 「仓储中心物流转运异常」每天推文本到钉钉群 —— 正文组装与通道回归测试
|
|
||||||
* ────────────────────────────────────────────────────────────────────────────
|
|
||||||
* 这里只测四件容易悄悄坏掉的事：
|
|
||||||
* ① 群消息正文的数字与明细（业务照着这条消息干活，数字错了没人能发现）；
|
|
||||||
* ② 0 条 / 明细条数上限 / 超长精简（钉钉 text 上限 20000 字节，超了整条被拒）；
|
|
||||||
* ③ webhook 地址与加签（sign 算错就是 310000，肉眼看不出来）；
|
|
||||||
* ④ 钉钉报错必须原样透出 errcode/errmsg（业务排错全靠这个码）。
|
|
||||||
* 不测数据库与真实网络：settings / job 的 DB 分支在接口层验证。
|
|
||||||
*/
|
|
||||||
|
|
||||||
const test = require('node:test');
|
|
||||||
const assert = require('node:assert/strict');
|
|
||||||
const crypto = require('crypto');
|
|
||||||
|
|
||||||
const job = require('../src/jobs/warehouseLogisticsExceptionNotifyJob');
|
|
||||||
const sender = require('../src/services/dingtalkRobotWebhookSender');
|
|
||||||
const settings = require('../src/services/warehouseLogisticsExceptionNotifySettings');
|
|
||||||
|
|
||||||
function sampleData(overrides = {}) {
|
|
||||||
return {
|
|
||||||
batch: {
|
|
||||||
label: '10-22 09:00 核验 · 10-21 发货',
|
|
||||||
verifyDate: '2026-10-22',
|
|
||||||
shipDate: '2026-10-21',
|
|
||||||
deadline: '2026-10-22 09:00:00',
|
|
||||||
},
|
|
||||||
summary: {
|
|
||||||
shippedOrders: 9886,
|
|
||||||
packageCount: 9886,
|
|
||||||
exceptionOrders: 143,
|
|
||||||
exceptionPackages: 144,
|
|
||||||
exceptionRate: 1.4,
|
|
||||||
centerCount: 9,
|
|
||||||
byType: { PICKED_NO_TRANSIT: 137, NOT_PICKED: 7 },
|
|
||||||
},
|
|
||||||
centers: [
|
|
||||||
{ key: 'sn', name: '睢宁仓', shippedOrders: 1200, exceptionOrders: 1, exceptionRate: 0.1 },
|
|
||||||
{ key: 'cq', name: '崔桥工厂仓', shippedOrders: 3000, exceptionOrders: 2, exceptionRate: 0.1 },
|
|
||||||
{ key: 'hl', name: '横林二仓', shippedOrders: 800, exceptionOrders: 0, exceptionRate: 0 },
|
|
||||||
],
|
|
||||||
types: [
|
|
||||||
{ key: 'PICKED_NO_TRANSIT', label: '已揽收未中转', desc: '揽收后没有下一步中转记录' },
|
|
||||||
{ key: 'NOT_PICKED', label: '未揽收', desc: '快递还没来揽' },
|
|
||||||
],
|
|
||||||
exclusions: {
|
|
||||||
carriers: ['唯品顺丰', '顺丰', '京喜京东'],
|
|
||||||
conditionalCarriers: [{ keyword: '睢宁中通', keepCenters: ['睢宁仓'] }],
|
|
||||||
orderStatusKeywords: ['取消', '作废'],
|
|
||||||
orderLabelKeywords: ['发货后取消'],
|
|
||||||
orderTypeLabels: ['刷单', '转空包'],
|
|
||||||
carrierPackages: 12,
|
|
||||||
voidedPackages: 3,
|
|
||||||
nonRealPackages: 5,
|
|
||||||
},
|
|
||||||
rows: [
|
|
||||||
{
|
|
||||||
centerKey: 'cq',
|
|
||||||
warehouseName: '崔桥工厂仓',
|
|
||||||
oId: '9845001',
|
|
||||||
soId: '3318',
|
|
||||||
shopName: '京东自营',
|
|
||||||
carrier: '京东快递',
|
|
||||||
trackingNo: 'JD1',
|
|
||||||
logisticStatus: '已揽收',
|
|
||||||
exceptionLabel: '已揽收未中转',
|
|
||||||
exceptionDesc: '揽收后没有下一步中转记录',
|
|
||||||
sendTime: '2026-10-21 16:00:00',
|
|
||||||
lastLogisticTime: '2026-10-21 21:00:00',
|
|
||||||
pendingHours: 17,
|
|
||||||
lastLogisticInfo: '已揽收',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
centerKey: 'sn',
|
|
||||||
warehouseName: '睢宁仓',
|
|
||||||
oId: '9844248',
|
|
||||||
soId: '3316',
|
|
||||||
shopName: '天猫旗舰店',
|
|
||||||
carrier: '睢宁德邦',
|
|
||||||
trackingNo: '',
|
|
||||||
logisticStatus: '',
|
|
||||||
exceptionLabel: '未揽收',
|
|
||||||
exceptionDesc: '快递还没来揽',
|
|
||||||
sendTime: '2026-10-21 14:22:10',
|
|
||||||
lastLogisticTime: '',
|
|
||||||
pendingHours: null,
|
|
||||||
lastLogisticInfo: '',
|
|
||||||
},
|
|
||||||
],
|
|
||||||
...overrides,
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
test('群消息正文：抬头带「异常」关键词、数字与分类型、按仓只列有异常的仓', () => {
|
|
||||||
const built = job.buildNotifyText(sampleData(), { maxDetailRows: 30, pageUrl: 'https://ck.yydd.ai:8443/p' });
|
|
||||||
const text = built.text;
|
|
||||||
|
|
||||||
// 钉钉「自定义关键词」安全设置一般配「异常」，抬头必须含这两个字
|
|
||||||
assert.match(text, /【仓储物流转运异常】/);
|
|
||||||
assert.match(text, /10-22 09:00 核验 · 10-21 发货/);
|
|
||||||
assert.match(text, /已发货 9886 单 \/ 9886 个包裹，异常 144 个包裹（1\.4%）/);
|
|
||||||
// 分类型按数量降序，且必须是可读标签（不是 PICKED_NO_TRANSIT 这种 key）
|
|
||||||
assert.match(text, /类型：已揽收未中转 137 · 未揽收 7/);
|
|
||||||
// 剔除数量 = 12 + 3 + 5
|
|
||||||
assert.match(text, /已剔除 20 个包裹/);
|
|
||||||
// 按仓只列有异常的：睢宁 1、崔桥 1；横林二仓 0 条不能出现
|
|
||||||
assert.match(text, /按仓（异常包裹）：/);
|
|
||||||
assert.match(text, /睢宁仓 1 个（发货 1200 单）/);
|
|
||||||
assert.match(text, /崔桥工厂仓 1 个（发货 3000 单）/);
|
|
||||||
assert.ok(!text.includes('横林二仓'), '没有异常的仓不该占行');
|
|
||||||
// 页码链接带核验日
|
|
||||||
assert.match(text, /查看全部 \/ 导出 Excel：https:\/\/ck\.yydd\.ai:8443\/p\?date=2026-10-22/);
|
|
||||||
|
|
||||||
assert.equal(built.rowCount, 144);
|
|
||||||
assert.equal(built.listedCount, 2);
|
|
||||||
assert.equal(built.truncated, false);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('明细行：仓｜内部单号｜快递｜异常类型｜发货时间｜待处理，字段里换行要压平', () => {
|
|
||||||
const line = job.buildDetailLine({
|
|
||||||
warehouseName: '崔桥工厂仓',
|
|
||||||
oId: '9845001',
|
|
||||||
carrier: '京东快递',
|
|
||||||
exceptionLabel: '已揽收未中转',
|
|
||||||
sendTime: '2026-10-21 16:00:00',
|
|
||||||
pendingHours: 17.25,
|
|
||||||
lastLogisticInfo: '第一行\n第二行',
|
|
||||||
}, 3);
|
|
||||||
|
|
||||||
assert.equal(line, '3. 崔桥工厂仓｜9845001｜京东快递｜已揽收未中转｜10-21 16:00｜17.3h');
|
|
||||||
|
|
||||||
// 物流描述里的换行不能漏进消息（会把一条明细劈成两行，看着像两条异常）
|
|
||||||
assert.equal(job.cleanCell('甲\n乙\t丙 丁'), '甲 乙 丙 丁');
|
|
||||||
// 空值兜底：不能让消息里出现「undefined｜null」
|
|
||||||
assert.equal(
|
|
||||||
job.buildDetailLine({}, 1),
|
|
||||||
'1. 未知仓｜无单号｜未知快递｜异常｜—｜—'
|
|
||||||
);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('0 条异常也要发一条平安消息（用来确认任务没挂）', () => {
|
|
||||||
const data = sampleData({
|
|
||||||
rows: [],
|
|
||||||
summary: {
|
|
||||||
...sampleData().summary,
|
|
||||||
exceptionOrders: 0,
|
|
||||||
exceptionPackages: 0,
|
|
||||||
exceptionRate: 0,
|
|
||||||
byType: {},
|
|
||||||
centerCount: 0,
|
|
||||||
},
|
|
||||||
exclusions: {},
|
|
||||||
});
|
|
||||||
const built = job.buildNotifyText(data, { maxDetailRows: 30 });
|
|
||||||
assert.match(built.text, /本批无转运异常，全部正常/);
|
|
||||||
assert.match(built.text, /异常 0 个包裹（/);
|
|
||||||
assert.ok(!built.text.includes('明细前'), '0 条时不该出现明细标题');
|
|
||||||
assert.equal(built.rowCount, 0);
|
|
||||||
assert.equal(built.listedCount, 0);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('明细条数受配置控制：0 = 只发汇总，超量只列前 N 条并提示剩余', () => {
|
|
||||||
const zero = job.buildNotifyText(sampleData(), { maxDetailRows: 0 });
|
|
||||||
assert.ok(!/明细前 \d+ 条/.test(zero.text), 'maxDetailRows=0 时不要明细块');
|
|
||||||
assert.match(zero.text, /明细共 144 条，消息里不放，请点下面链接查看/);
|
|
||||||
|
|
||||||
const one = job.buildNotifyText(sampleData(), { maxDetailRows: 1 });
|
|
||||||
assert.equal(one.listedCount, 1);
|
|
||||||
assert.ok(one.text.includes('1. 崔桥工厂仓'), '只列第一条');
|
|
||||||
assert.ok(!one.text.includes('2. 睢宁仓'), '第二条应被截掉');
|
|
||||||
assert.match(one.text, /其余 143 条见页面/);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('明细太多时按字节精简：不超 20000 字节上限，且不切断半个汉字', () => {
|
|
||||||
// 造 60 条很长的明细（仓名 144 字 ≈ 432 字节/行），必然超过 text 上限
|
|
||||||
const longName = '崔桥工厂半成品包装项目仓'.repeat(12);
|
|
||||||
const rows = Array.from({ length: 60 }, (_item, index) => ({
|
|
||||||
centerKey: 'cq',
|
|
||||||
warehouseName: longName,
|
|
||||||
oId: `9845${String(index).padStart(3, '0')}`,
|
|
||||||
carrier: '中通快递',
|
|
||||||
exceptionLabel: '已揽收未中转',
|
|
||||||
sendTime: '2026-10-21 16:00:00',
|
|
||||||
pendingHours: 17,
|
|
||||||
}));
|
|
||||||
const data = sampleData({
|
|
||||||
rows,
|
|
||||||
summary: { ...sampleData().summary, exceptionPackages: rows.length, exceptionOrders: rows.length },
|
|
||||||
});
|
|
||||||
|
|
||||||
const built = job.buildNotifyText(data, { maxDetailRows: 50 });
|
|
||||||
assert.ok(built.bytes <= sender.MAX_CONTENT_BYTES, `实得 ${built.bytes} 字节，超了上限`);
|
|
||||||
assert.ok(built.bytes <= job.SAFE_CONTENT_BYTES, '应留出安全余量');
|
|
||||||
assert.equal(built.truncated, true, '应标记为已精简');
|
|
||||||
assert.ok(built.listedCount < 50, '应自动少列几条');
|
|
||||||
assert.ok(!built.text.includes('\uFFFD'), '不能出现被截断产生的乱码');
|
|
||||||
// 削掉明细后仍保留抬头和链接
|
|
||||||
assert.match(built.text, /【仓储物流转运异常】/);
|
|
||||||
assert.match(built.text, /查看全部/);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('按字节截断工具：中文按 3 字节算，不切半个字', () => {
|
|
||||||
assert.deepEqual(sender.truncateBytes('abc', 10), { text: 'abc', truncated: false });
|
|
||||||
// 「中」= 3 字节：10 字节最多放 3 个字（9 字节）
|
|
||||||
const cut = sender.truncateBytes('中文字符', 10);
|
|
||||||
assert.equal(cut.text, '中文字');
|
|
||||||
assert.equal(cut.truncated, true);
|
|
||||||
assert.ok(Buffer.byteLength(cut.text, 'utf8') <= 10);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('时区：容器是 UTC，推送时刻仍按北京时间判（09:10 不能变成 01:10）', () => {
|
|
||||||
// 2026-10-22T01:10Z = 北京时间 09:10
|
|
||||||
assert.equal(job.chinaHourMinute(new Date('2026-10-22T01:10:00Z')), '09:10');
|
|
||||||
assert.equal(job.chinaDateKey(new Date('2026-10-22T01:10:00Z')), '2026-10-22');
|
|
||||||
// 北京时间 00:30（UTC 前一天 16:30）→ 日期必须是新的一天
|
|
||||||
assert.equal(job.chinaDateKey(new Date('2026-10-21T16:30:00Z')), '2026-10-22');
|
|
||||||
assert.equal(job.chinaHourMinute(new Date('2026-10-21T16:30:00Z')), '00:30');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('推送时间 / 明细条数：非法输入一律退回默认值，不能把定时任务配挂', () => {
|
|
||||||
assert.equal(settings.normalizeSendTime('08:05'), '08:05');
|
|
||||||
assert.equal(settings.normalizeSendTime('9:10'), '09:10');
|
|
||||||
assert.equal(settings.normalizeSendTime('25:00'), '09:10');
|
|
||||||
assert.equal(settings.normalizeSendTime(''), '09:10');
|
|
||||||
assert.equal(settings.normalizeSendTime(undefined), '09:10');
|
|
||||||
|
|
||||||
assert.equal(settings.normalizeMaxDetailRows(undefined), 30);
|
|
||||||
assert.equal(settings.normalizeMaxDetailRows(-5), 0);
|
|
||||||
assert.equal(settings.normalizeMaxDetailRows(999), 50);
|
|
||||||
assert.equal(settings.normalizeMaxDetailRows('12'), 12);
|
|
||||||
assert.equal(settings.normalizeMaxDetailRows('abc'), 30);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('配置校验：只要有 Webhook 就算配好；加签密钥只回掩码', () => {
|
|
||||||
assert.deepEqual(settings.missingFields({ webhookUrl: '' }), ['Webhook 地址']);
|
|
||||||
assert.deepEqual(settings.missingFields({ webhookUrl: 'https://oapi.dingtalk.com/robot/send?access_token=t' }), []);
|
|
||||||
assert.equal(settings.isWarehouseLogisticsExceptionNotifyReady({}), false);
|
|
||||||
assert.equal(
|
|
||||||
settings.isWarehouseLogisticsExceptionNotifyReady({ webhookUrl: 'https://oapi.dingtalk.com/robot/send?access_token=t' }),
|
|
||||||
true,
|
|
||||||
'安全设置用「关键词」时不需要加签密钥'
|
|
||||||
);
|
|
||||||
|
|
||||||
const admin = settings.toAdminConfig({
|
|
||||||
webhookUrl: 'https://oapi.dingtalk.com/robot/send?access_token=t',
|
|
||||||
webhookSecret: 'SEC0123456789abcdef',
|
|
||||||
enabled: true,
|
|
||||||
});
|
|
||||||
assert.equal(admin.webhookSecretConfigured, true);
|
|
||||||
assert.ok(!JSON.stringify(admin).includes('SEC0123456789abcdef'), '明文加签密钥不能出现在返回体里');
|
|
||||||
assert.match(admin.webhookSecretPreview, /\*+/);
|
|
||||||
// Webhook 要完整回显：业务需要核对 access_token
|
|
||||||
assert.match(admin.webhookUrl, /access_token=t/);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('Webhook 地址校验：必须是 robot/send 且带 access_token', () => {
|
|
||||||
const ok = 'https://oapi.dingtalk.com/robot/send?access_token=abc123';
|
|
||||||
assert.equal(sender.normalizeWebhookUrl(ok), ok);
|
|
||||||
|
|
||||||
assert.throws(() => sender.normalizeWebhookUrl(''), /请填写/);
|
|
||||||
assert.throws(() => sender.normalizeWebhookUrl('oapi.dingtalk.com/robot/send'), /不是合法 URL/);
|
|
||||||
// 常见的复制错误：贴成了企业内部应用的地址 / 少复制了路径
|
|
||||||
assert.throws(() => sender.normalizeWebhookUrl('https://oapi.dingtalk.com/robot/send'), /缺少 access_token/);
|
|
||||||
assert.throws(() => sender.normalizeWebhookUrl('https://oapi.dingtalk.com/topapi/robot/send?access_token=a'), /不像群机器人/);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('加签：sign = urlEncode(base64(HmacSHA256(secret, `${ts}\\n${secret}`)))', () => {
|
|
||||||
const webhook = 'https://oapi.dingtalk.com/robot/send?access_token=abc123';
|
|
||||||
const secret = 'SECtestsecret';
|
|
||||||
const ts = 1700000000000;
|
|
||||||
|
|
||||||
const signed = new URL(sender.buildSignedUrl(webhook, secret, ts));
|
|
||||||
assert.equal(signed.searchParams.get('timestamp'), String(ts));
|
|
||||||
assert.equal(signed.searchParams.get('access_token'), 'abc123', '原参数要保留');
|
|
||||||
|
|
||||||
// 手工算一遍（顺序写错就是 310000，这条断言就是防这个）
|
|
||||||
const expected = crypto
|
|
||||||
.createHmac('sha256', secret)
|
|
||||||
.update(`${ts}\n${secret}`, 'utf8')
|
|
||||||
.digest('base64');
|
|
||||||
// searchParams 会自动 decode，所以这里拿到的是原始 base64（含 + / =）
|
|
||||||
assert.equal(signed.searchParams.get('sign'), expected);
|
|
||||||
|
|
||||||
// 没配密钥（安全设置用关键词/IP）：只追加 timestamp，不带 sign
|
|
||||||
const plain = new URL(sender.buildSignedUrl(webhook, '', ts));
|
|
||||||
assert.equal(plain.searchParams.get('sign'), null);
|
|
||||||
assert.equal(plain.searchParams.get('timestamp'), String(ts));
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── 钉钉通道：stub fetch 验请求形状与错误透传 ────────────────────────────────
|
|
||||||
|
|
||||||
function stubFetch(handler) {
|
|
||||||
const calls = [];
|
|
||||||
const original = global.fetch;
|
|
||||||
global.fetch = async (url, options = {}) => {
|
|
||||||
calls.push({ url: String(url), options });
|
|
||||||
const body = handler.body === undefined ? {} : handler.body;
|
|
||||||
return new Response(JSON.stringify(body), { status: handler.status || 200 });
|
|
||||||
};
|
|
||||||
return {
|
|
||||||
calls,
|
|
||||||
restore: () => { global.fetch = original; },
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
test('发文本：msgtype=text，加签参数拼在 URL 上，@所有人开关透传', async () => {
|
|
||||||
const stub = stubFetch({ body: { errcode: 0, errmsg: 'ok' } });
|
|
||||||
try {
|
|
||||||
const result = await sender.sendTextToWebhook({
|
|
||||||
webhookUrl: 'https://oapi.dingtalk.com/robot/send?access_token=abc123',
|
|
||||||
secret: 'SECtestsecret',
|
|
||||||
content: '【仓储物流转运异常】测试',
|
|
||||||
atAll: true,
|
|
||||||
});
|
|
||||||
|
|
||||||
assert.equal(result.delivered, true);
|
|
||||||
assert.equal(result.errmsg, 'ok');
|
|
||||||
|
|
||||||
const call = stub.calls[0];
|
|
||||||
assert.equal(call.options.method, 'POST');
|
|
||||||
assert.match(call.options.headers['Content-Type'], /application\/json/);
|
|
||||||
// 加签后 URL 必须带 timestamp + sign
|
|
||||||
const url = new URL(call.url);
|
|
||||||
assert.ok(url.searchParams.get('timestamp'), '缺少 timestamp');
|
|
||||||
assert.ok(url.searchParams.get('sign'), '缺少 sign');
|
|
||||||
|
|
||||||
const body = JSON.parse(call.options.body);
|
|
||||||
assert.equal(body.msgtype, 'text');
|
|
||||||
assert.equal(body.text.content, '【仓储物流转运异常】测试');
|
|
||||||
assert.equal(body.at.isAtAll, true);
|
|
||||||
assert.deepEqual(body.at.atMobiles, []);
|
|
||||||
} finally {
|
|
||||||
stub.restore();
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('发文本：空内容不发请求（避免钉钉 400 把错误码埋掉）', async () => {
|
|
||||||
let touched = 0;
|
|
||||||
const original = global.fetch;
|
|
||||||
global.fetch = async () => { touched += 1; throw new Error('不应该发请求'); };
|
|
||||||
try {
|
|
||||||
await assert.rejects(
|
|
||||||
() => sender.sendTextToWebhook({
|
|
||||||
webhookUrl: 'https://oapi.dingtalk.com/robot/send?access_token=a',
|
|
||||||
content: ' ',
|
|
||||||
}),
|
|
||||||
/内容为空/
|
|
||||||
);
|
|
||||||
assert.equal(touched, 0);
|
|
||||||
} finally {
|
|
||||||
global.fetch = original;
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('发文本：钉钉 errcode 原样透出（310000 关键词/加签不匹配是最常见的坑）', async () => {
|
|
||||||
const stub = stubFetch({ body: { errcode: 310000, errmsg: 'sign not match' } });
|
|
||||||
try {
|
|
||||||
await assert.rejects(
|
|
||||||
() => sender.sendTextToWebhook({
|
|
||||||
webhookUrl: 'https://oapi.dingtalk.com/robot/send?access_token=a',
|
|
||||||
secret: 'SECwrong',
|
|
||||||
content: '【仓储物流转运异常】测试',
|
|
||||||
}),
|
|
||||||
(error) => {
|
|
||||||
assert.equal(error.code, 310000);
|
|
||||||
assert.match(error.message, /310000/);
|
|
||||||
assert.match(error.message, /sign not match/);
|
|
||||||
return true;
|
|
||||||
}
|
|
||||||
);
|
|
||||||
} finally {
|
|
||||||
stub.restore();
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('发文本：超长正文自动截断后仍会发出去（不是直接抛错）', async () => {
|
|
||||||
const stub = stubFetch({ body: { errcode: 0, errmsg: 'ok' } });
|
|
||||||
try {
|
|
||||||
const huge = '异常'.repeat(12000); // 24000 字 ≈ 72000 字节，远超上限
|
|
||||||
const result = await sender.sendTextToWebhook({
|
|
||||||
webhookUrl: 'https://oapi.dingtalk.com/robot/send?access_token=a',
|
|
||||||
content: huge,
|
|
||||||
});
|
|
||||||
assert.equal(result.truncated, true);
|
|
||||||
assert.ok(result.bytes <= sender.MAX_CONTENT_BYTES);
|
|
||||||
|
|
||||||
const body = JSON.parse(stub.calls[0].options.body);
|
|
||||||
assert.ok(Buffer.byteLength(body.text.content, 'utf8') <= sender.MAX_CONTENT_BYTES);
|
|
||||||
} finally {
|
|
||||||
stub.restore();
|
|
||||||
}
|
|
||||||
});
|
|
||||||
@ -1,667 +0,0 @@
|
|||||||
/**
|
|
||||||
* 仓储中心 24 小时发货时效 —— 口径回归测试（2026-10-20 第八版）
|
|
||||||
*
|
|
||||||
* 这个功能最容易出错的是「口径」，不是 SQL 语法。本文件锁定几条关键语义：
|
|
||||||
* ① 主仓归属用**关键词最长匹配** —— 「横林二仓品牌仓」不能被「横林二仓」抢走；
|
|
||||||
* ② 核验轮次的时刻选择 —— 13:00 前**不做核验**、13:00~17:59 用 07:00 窗口、
|
|
||||||
* 18:00 后用 16:00 窗口；「核验时刻」与「订单窗口上界」是两个字段；
|
|
||||||
* ③ 数据源必须是 `jst_order_express_details`（聚水潭实时状态镜像）——
|
|
||||||
* 订单表的 status 是下单快照，取消/售后/审核都不回写，用它必错；
|
|
||||||
* ④ 🔥 窗口按**创建时间**卡 7:00 / 16:00（含历史未发），**已等时长按审核时间算**：
|
|
||||||
* 「当日 7 点前订单（7 点前订单按照审核时间算），13:00 核验未发就算超时」。
|
|
||||||
* ⚠️ 别把窗口卡到审核时间上 —— 审单集中在早上 8:30~10:00 批量做，
|
|
||||||
* 卡审核时间 13:00 轮全库只剩 2 单（实测 29 单 → 2 单），等于把功能做废；
|
|
||||||
* ⑤ 🔥 **没有「满 24 小时」门槛**：到核验时刻未发即超时。
|
|
||||||
* 第七版加了 24h 门槛，13:00 轮永远看不到当天 7 点那批，被业务打回；
|
|
||||||
* ⑥ 三态互斥：发货中+无发货时间=超时未发货 / 待审核·异常=不计考核 / 其余丢弃；
|
|
||||||
* **作废单（已取消 / 合并 / 拆单父单）不考核**；
|
|
||||||
* ⑦ 性能护栏：状态表只允许 **1 次** querySlow，不得投影宽列、不得回订单表补金额。
|
|
||||||
*
|
|
||||||
* ⚠️ 本文件**不连数据库**，纯逻辑测试。
|
|
||||||
*/
|
|
||||||
const test = require('node:test');
|
|
||||||
const assert = require('node:assert/strict');
|
|
||||||
|
|
||||||
const registry = require('../src/services/warehouseShipTimelinessRegistry');
|
|
||||||
|
|
||||||
// ── ① 主仓归属：最长匹配 ────────────────────────────────────────────────
|
|
||||||
test('resolveCenter 用最长关键词匹配，品牌仓不会被主仓抢走', () => {
|
|
||||||
assert.equal(registry.resolveCenter('简尚-横林二仓品牌仓').key, 'HL2_BRAND');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-横林二仓').key, 'HL2');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-崔桥工厂品牌仓').key, 'CQ_BRAND');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-崔桥工厂仓').key, 'CQ');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-山东品牌仓').key, 'SD_BRAND');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-山东青岗集仓').key, 'SD_QGJ');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('resolveCenter 能捞到各种命名的子仓', () => {
|
|
||||||
const cases = [
|
|
||||||
['简尚-运营C横林二仓专用仓', 'HL2'],
|
|
||||||
['简尚-横林二仓京东仓', 'HL2'],
|
|
||||||
['京仓-横林二仓京东自营仓', 'HL2'],
|
|
||||||
['简尚-崔桥工厂仓唯品仓', 'CQ'],
|
|
||||||
['简尚-运营C崔桥工厂仓专用仓', 'CQ'],
|
|
||||||
['简尚-新苏北临时仓', 'XSB'],
|
|
||||||
['简尚-分销部睢宁专用仓', 'SN'],
|
|
||||||
['京仓-山东青岗集京东仓储', 'SD_QGJ'],
|
|
||||||
['简尚-山东青岗集仓马来海外仓', 'SD_QGJ'],
|
|
||||||
['简尚-河南洛宁仓', 'HN_LN'],
|
|
||||||
];
|
|
||||||
for (const [name, expected] of cases) {
|
|
||||||
assert.equal(registry.resolveCenter(name)?.key, expected, name);
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('「京仓-横林二仓京东云仓」业务指定排除，不计入横林二仓', () => {
|
|
||||||
assert.equal(registry.resolveCenter('京仓-横林二仓京东云仓'), null);
|
|
||||||
// ⚠️ 不能连带排掉名字相近的仓 —— 关键词必须写完整片段
|
|
||||||
assert.equal(registry.resolveCenter('简尚-横林二仓京东仓')?.key, 'HL2');
|
|
||||||
assert.equal(registry.resolveCenter('京仓-横林二仓京东自营仓')?.key, 'HL2');
|
|
||||||
assert.equal(registry.resolveCenter('京仓-崔桥工厂仓京东云仓')?.key, 'CQ');
|
|
||||||
assert.equal(registry.resolveCenter('京仓-山东青岗集京东云仓')?.key, 'SD_QGJ');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('resolveCenter 不会把无关代发仓误并入（山东/河南是高频前缀）', () => {
|
|
||||||
const shouldBeNull = [
|
|
||||||
'工厂-山东菏泽森美代发仓',
|
|
||||||
'工厂-山东恒思代发仓',
|
|
||||||
'工厂-河南千优代发仓',
|
|
||||||
'工厂-河北霸州派雅世佳代发仓',
|
|
||||||
'简尚-苏州福利品仓',
|
|
||||||
];
|
|
||||||
for (const name of shouldBeNull) {
|
|
||||||
assert.equal(registry.resolveCenter(name), null, `${name} 不应归属任何主仓`);
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('崔桥工厂半成品包装项目仓已接入（不再是占位仓）', () => {
|
|
||||||
const c = registry.CENTERS.find((x) => x.key === 'CQ_WIP');
|
|
||||||
assert.ok(c, 'CQ_WIP 必须存在');
|
|
||||||
assert.equal(c.placeholder, undefined, '已接入真实仓，不能再是占位仓');
|
|
||||||
assert.equal(c.name, '崔桥工厂半成品包装项目仓');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-崔桥工厂半成品包装项目仓')?.key, 'CQ_WIP');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-崔桥工厂仓')?.key, 'CQ');
|
|
||||||
assert.equal(registry.resolveCenter('简尚-崔桥工厂品牌仓')?.key, 'CQ_BRAND');
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── ② 核验轮次 ──────────────────────────────────────────────────────────
|
|
||||||
const at = (h, m) => new Date(2026, 9, 20, h, m, 0); // 2026-10-20 本机时区（东八区）
|
|
||||||
|
|
||||||
test('13:00 前不做核验，返回 null（不回填昨日数据）', () => {
|
|
||||||
assert.equal(registry.resolveActiveRound(at(9, 30)), null);
|
|
||||||
assert.equal(registry.resolveActiveRound(at(12, 59)), null);
|
|
||||||
assert.equal(registry.resolveActiveRound(at(0, 5)), null);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('13:00~17:59 用 13:00 轮，窗口是「截止今日 07:00 前创建（含历史）」', () => {
|
|
||||||
for (const [h, m] of [[13, 0], [15, 30], [17, 59]]) {
|
|
||||||
const r = registry.resolveActiveRound(at(h, m));
|
|
||||||
assert.ok(r, `${h}:${m} 应已进入首轮核验`);
|
|
||||||
assert.equal(r.key, 'NOON');
|
|
||||||
// 核验时刻 = 13:00（判定「发了没发 / 超时多久」用它）
|
|
||||||
assert.equal(r.deadline, '2026-10-20 13:00:00');
|
|
||||||
assert.equal(r.verifyHour, 13);
|
|
||||||
// 订单窗口上界 = 07:00（只核验该时刻前创建的单）
|
|
||||||
assert.equal(r.windowEnd, '2026-10-20 07:00:00');
|
|
||||||
assert.notEqual(r.deadline, r.windowEnd, '核验时刻与窗口上界必须是两个值');
|
|
||||||
assert.equal(r.includeHistory, true);
|
|
||||||
assert.notEqual(r.windowStart, '2026-10-20 00:00:00', '下界不能卡在当天 00:00');
|
|
||||||
assert.equal(r.windowStart, '2026-09-20 00:00:00', '下界是近 30 天');
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
test('18:00 之后用 18:00 轮，窗口上界扩到当天 16:00', () => {
|
|
||||||
const r = registry.resolveActiveRound(at(18, 0));
|
|
||||||
assert.equal(r.key, 'AFTERNOON');
|
|
||||||
assert.equal(r.deadline, '2026-10-20 18:00:00');
|
|
||||||
assert.equal(r.windowEnd, '2026-10-20 16:00:00');
|
|
||||||
assert.equal(registry.resolveActiveRound(at(23, 59)).key, 'AFTERNOON');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('describeRounds 两轮的核验时刻与窗口上界（16:00~17:59 属于「等 18:00 轮」）', () => {
|
|
||||||
const rounds = registry.describeRounds(at(16, 5));
|
|
||||||
assert.deepEqual(
|
|
||||||
rounds.map((r) => [r.key, r.deadline.slice(11, 16), r.windowEnd.slice(11, 16)]),
|
|
||||||
[['NOON', '13:00', '07:00'], ['AFTERNOON', '18:00', '16:00']]
|
|
||||||
);
|
|
||||||
assert.equal(rounds[0].active, true);
|
|
||||||
assert.equal(rounds[1].active, false, '16:05 还没到 18:00 轮');
|
|
||||||
assert.equal(registry.resolveActiveRound(at(16, 5)).key, 'NOON');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('审核晚于本轮核验时刻 → 顺延到下一轮核验时刻', () => {
|
|
||||||
const [noon, afternoon] = registry.describeRounds(at(16, 5));
|
|
||||||
assert.equal(registry.nextRoundDeadline(noon), '2026-10-20 18:00:00', '13:00 轮 → 当天 18:00');
|
|
||||||
assert.equal(registry.nextRoundDeadline(afternoon), '2026-10-21 13:00:00',
|
|
||||||
'18:00 是当天最后一轮 → 次日 13:00');
|
|
||||||
// 跨月边界也要对
|
|
||||||
assert.equal(
|
|
||||||
registry.nextRoundDeadline({ key: 'AFTERNOON', date: '2026-10-31' }),
|
|
||||||
'2026-11-01 13:00:00'
|
|
||||||
);
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── ③ 常量口径 ──────────────────────────────────────────────────────────
|
|
||||||
test('数据源必须是聚水潭实时状态表，不是订单表', () => {
|
|
||||||
assert.equal(registry.ORDER_STATE_TABLE, 'jst_order_express_details');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('三态名称；24 小时常量仅用于页面命名，不再参与判定', () => {
|
|
||||||
assert.equal(registry.SHIPPING_STATUS, '发货中');
|
|
||||||
assert.equal(registry.UNAUDITED_STATUS, '已支付待审核');
|
|
||||||
assert.equal(registry.ABNORMAL_STATUS, '异常');
|
|
||||||
// 页面/路由仍叫「24 小时发货时效」，但判定是 13:00/18:00 到点即超时
|
|
||||||
assert.equal(registry.SHIP_TIMELINESS_HOURS, 24);
|
|
||||||
});
|
|
||||||
|
|
||||||
test('作废单（已取消）明确不考核', () => {
|
|
||||||
assert.ok(
|
|
||||||
registry.IGNORED_STATES.includes('已取消'),
|
|
||||||
'「已取消」必须在排除名单里 —— 近 30 天 6.4 万单，是「发货中」的 26 倍'
|
|
||||||
);
|
|
||||||
assert.ok(registry.IGNORED_STATES.includes('已发货'));
|
|
||||||
assert.ok(registry.IGNORED_STATES.includes('等供销商|外仓发货'));
|
|
||||||
});
|
|
||||||
|
|
||||||
test('创建时间要从订单表补，且只补窄列', () => {
|
|
||||||
assert.deepEqual(
|
|
||||||
[...registry.CREATED_SOURCE_TABLES],
|
|
||||||
['jst_Orders', 'jst_qmcust_orderlist'],
|
|
||||||
'两张订单表都要查（店铺互斥，交集为 0）'
|
|
||||||
);
|
|
||||||
assert.ok(registry.CREATED_BACKFILL_BATCH >= 100, '必须分批，不能一次 IN 上万个');
|
|
||||||
});
|
|
||||||
|
|
||||||
// ── ④ 服务层分桶（注入假查询，不连库）──
|
|
||||||
function stubDb(dbPath, scenario = 'default') {
|
|
||||||
const wmsId = 15038426;
|
|
||||||
|
|
||||||
// 创建时间（展示）+ 作废事实来源：o_id → 订单表行
|
|
||||||
// 故意让 3 号单**补不到**（模拟订单表缺行）→ 展示回退付款时间
|
|
||||||
const f = (table, o) => ({ table, status: 'WaitConfirm', send_date: null, is_merge: 0, is_split: 0, ...o });
|
|
||||||
|
|
||||||
const defaultFacts = {
|
|
||||||
1: f('jst_Orders', { created: '2026-09-25 00:50:00' }),
|
|
||||||
2: f('jst_Orders', { created: '2026-10-20 16:20:00' }),
|
|
||||||
6: f('jst_Orders', { created: '2026-10-20 17:00:00' }),
|
|
||||||
7: f('jst_qmcust_orderlist', { created: '2026-09-25 01:00:00' }),
|
|
||||||
9: f('jst_Orders', { created: '2026-09-21 09:00:00', status: 'Cancelled' }),
|
|
||||||
// 10：状态表「发货中 + send_time 空」，但订单表是 Merged —— 真实案例
|
|
||||||
// 5127276315127080023（内部单号 9486414）就是这样被误判成超时的
|
|
||||||
10: f('jst_qmcust_orderlist', { created: '2026-09-21 10:00:00', status: 'Merged', send_date: '2026-09-22 06:54:49' }),
|
|
||||||
// 11：状态表 send_time 空，订单表 send_date 有值（已发）
|
|
||||||
11: f('jst_Orders', { created: '2026-09-21 11:00:00', send_date: '2026-09-22 08:00:00' }),
|
|
||||||
// 37：🔥 订单表 send_date 没回写，但销售订单 status 已是 Sent（已发货）
|
|
||||||
// —— 业务 2026-10-20「已发/未发参考聚水潭销售订单页面」
|
|
||||||
37: f('jst_Orders', { created: '2026-09-22 09:00:00', status: 'Sent' }),
|
|
||||||
// 12：拆单父单，status 不是 Split 但 is_split=1
|
|
||||||
12: f('jst_Orders', { created: '2026-09-21 12:00:00', status: 'Delivering', is_split: 1 }),
|
|
||||||
13: f('jst_Orders', { created: '2026-10-20 15:00:00' }),
|
|
||||||
// 31~34：验证仓级例外窗口（山东两仓 15:00、河南洛宁 13:00，仅 18:00 轮）
|
|
||||||
31: f('jst_Orders', { created: '2026-10-20 15:30:00' }),
|
|
||||||
32: f('jst_Orders', { created: '2026-10-20 14:30:00' }),
|
|
||||||
33: f('jst_Orders', { created: '2026-10-20 13:30:00' }),
|
|
||||||
34: f('jst_Orders', { created: '2026-10-20 12:30:00' }),
|
|
||||||
// 26：创建 10-18，但**今天 13:10 才审核** —— 业务点名的形态（9818476）
|
|
||||||
// 只能进 18:00 轮，不能进 13:00 轮
|
|
||||||
26: f('jst_Orders', { created: '2026-10-18 12:00:00' }),
|
|
||||||
// 25：重审单（首次 10-19 10:10 / 最后一次 10-20 13:30）—— 聚水潭显示 13:30
|
|
||||||
25: f('jst_Orders', { created: '2026-10-19 10:00:00' }),
|
|
||||||
};
|
|
||||||
|
|
||||||
// 13:00 轮场景：验证「窗口按创建时间卡 7 点、时长按审核时间算」
|
|
||||||
const noonFacts = {
|
|
||||||
21: f('jst_Orders', { created: '2026-10-20 06:45:00' }),
|
|
||||||
22: f('jst_Orders', { created: '2026-10-20 05:55:00' }),
|
|
||||||
23: f('jst_Orders', { created: '2026-10-19 19:55:00' }),
|
|
||||||
24: f('jst_Orders', { created: '2026-10-20 07:30:00' }),
|
|
||||||
// 25：重审单（首次审核 10-19 10:10、最后一次 10-20 13:30）—— 时长要按首次算
|
|
||||||
25: f('jst_Orders', { created: '2026-10-19 10:00:00' }),
|
|
||||||
// 26：今天 13:10 才审（晚于核验时刻 13:00）—— 已等时长要回退按创建时间算
|
|
||||||
26: f('jst_Orders', { created: '2026-10-18 12:00:00' }),
|
|
||||||
};
|
|
||||||
|
|
||||||
const factsMap = scenario === 'noon' ? noonFacts : defaultFacts;
|
|
||||||
|
|
||||||
const mk = (o) => ({
|
|
||||||
shop_name: '测试店',
|
|
||||||
logistic_status_name: '',
|
|
||||||
query_time: '2026-10-20 11:18:27',
|
|
||||||
// 默认首次审核 = 最后一次审核；需要区分重审的用例显式覆盖 first_oa_confirm_time
|
|
||||||
first_oa_confirm_time: o.last_oa_confirm_time ?? null,
|
|
||||||
...o,
|
|
||||||
});
|
|
||||||
|
|
||||||
const defaultRows = [
|
|
||||||
// 1：审核 09-25 01:00 → 到 18:00 核验 = 25 天 17 小时，超时
|
|
||||||
mk({ so_id: 'SO-1', inner_order_id: 1, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-24 23:50:00',
|
|
||||||
last_oa_confirm_time: '2026-09-25 01:00:00' }),
|
|
||||||
// 2：创建 16:20 晚于窗口上界 16:00 → 本轮不核验（窗口卡的是创建时间）
|
|
||||||
mk({ so_id: 'SO-2', inner_order_id: 2, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 16:10:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 16:30:00' }),
|
|
||||||
// 3：订单表补不到创建时间 → 展示回退付款时间；审核 09-26 00:15 仍应判超时
|
|
||||||
mk({ so_id: 'SO-3', inner_order_id: 3, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-26 00:10:00',
|
|
||||||
last_oa_confirm_time: '2026-09-26 00:15:00' }),
|
|
||||||
// 4：已支付待审核（还没审单、没有审核时间）→ 不计考核
|
|
||||||
mk({ so_id: 'SO-4', inner_order_id: 4, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '已支付待审核', pay_time: '2026-09-23 01:00:00',
|
|
||||||
last_oa_confirm_time: null }),
|
|
||||||
// 5：异常 → 不计考核
|
|
||||||
mk({ so_id: 'SO-5', inner_order_id: 5, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '异常', logistic_status_name: '常州安能新', pay_time: '2026-09-23 01:00:00',
|
|
||||||
last_oa_confirm_time: '2026-09-23 01:05:00' }),
|
|
||||||
// 6：审核 17:05 晚于窗口上界 → 本轮不该核验
|
|
||||||
mk({ so_id: 'SO-6', inner_order_id: 6, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 16:55:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 17:05:00' }),
|
|
||||||
// 7：被业务排除的京东云仓 → 不归属任何主仓
|
|
||||||
mk({ so_id: 'SO-7', inner_order_id: 7, warehouse_name: '京仓-横林二仓京东云仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-25 00:00:00',
|
|
||||||
last_oa_confirm_time: '2026-09-25 00:10:00' }),
|
|
||||||
// 8：与 1 同 so_id + 同基准时间（拆包重复行）→ 必须去重
|
|
||||||
mk({ so_id: 'SO-1', inner_order_id: 1, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-24 23:50:00',
|
|
||||||
last_oa_confirm_time: '2026-09-25 01:00:00' }),
|
|
||||||
// 9：作废单（已取消）—— 业务定性不考核
|
|
||||||
mk({ so_id: 'SO-9', inner_order_id: 9, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '已取消', pay_time: '2026-09-21 08:00:00',
|
|
||||||
last_oa_confirm_time: '2026-09-21 08:10:00' }),
|
|
||||||
// 10：状态表「发货中」、但订单表是 Merged + 已发 —— 必须剔除
|
|
||||||
mk({ so_id: 'SO-10', inner_order_id: 10, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-21 09:59:00',
|
|
||||||
last_oa_confirm_time: '2026-09-21 10:05:00' }),
|
|
||||||
// 11：状态表「发货中」、订单表 send_date 有值（已发）—— 必须剔除
|
|
||||||
mk({ so_id: 'SO-11', inner_order_id: 11, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-21 10:59:00',
|
|
||||||
last_oa_confirm_time: '2026-09-21 11:05:00' }),
|
|
||||||
// 12：拆单父单（is_split=1）—— 自己不发货，必须剔除
|
|
||||||
mk({ so_id: 'SO-12', inner_order_id: 12, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-21 11:59:00',
|
|
||||||
last_oa_confirm_time: '2026-09-21 12:05:00' }),
|
|
||||||
// 13：🔥 当天 15:30 审核、18:00 核验只等了 2.5 小时 —— 旧版 24h 门槛会漏掉，
|
|
||||||
// 本版必须算超时（业务口径：到点未发就算超时）
|
|
||||||
mk({ so_id: 'SO-13', inner_order_id: 13, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 14:59:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 15:30:00' }),
|
|
||||||
// ── 仓级例外窗口（18:00 轮）：山东两仓 15:00、河南洛宁 13:00 ──
|
|
||||||
// 31：山东青岗集仓 15:30 创建 → 晚于该仓 15:00 上界 → 本轮不核验
|
|
||||||
mk({ so_id: 'SO-31', inner_order_id: 31, warehouse_name: '简尚-山东青岗集仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 15:29:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 15:35:00' }),
|
|
||||||
// 32：山东品牌仓 14:30 创建 → 早于 15:00 上界 → 核验，且超时
|
|
||||||
mk({ so_id: 'SO-32', inner_order_id: 32, warehouse_name: '简尚-山东品牌仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 14:29:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 14:35:00' }),
|
|
||||||
// 33：河南洛宁仓 13:30 创建 → 晚于该仓 13:00 上界 → 本轮不核验
|
|
||||||
mk({ so_id: 'SO-33', inner_order_id: 33, warehouse_name: '简尚-河南洛宁仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 13:29:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 13:35:00' }),
|
|
||||||
// 34：河南洛宁仓 12:30 创建 → 早于 13:00 上界 → 核验，且超时
|
|
||||||
mk({ so_id: 'SO-34', inner_order_id: 34, warehouse_name: '简尚-河南洛宁仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 12:29:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 12:35:00' }),
|
|
||||||
// 26：🔥 业务点名的形态 —— 创建 10-18，但今天 13:10 才审核（9818476 就是这样）。
|
|
||||||
// 它属于 18:00 轮（13:10 ≤ 16:00），已等 = 18:00 − 13:10 = 290 分
|
|
||||||
mk({ so_id: 'SO-26', inner_order_id: 26, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-18 11:59:00',
|
|
||||||
first_oa_confirm_time: '2026-10-20 13:10:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 13:10:00' }),
|
|
||||||
// 25：重审单 —— 聚水潭「审核时间」显示最后一次 10-20 13:30（不是首次 10-19 10:10）
|
|
||||||
mk({ so_id: 'SO-25', inner_order_id: 25, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-19 09:59:00',
|
|
||||||
first_oa_confirm_time: '2026-10-19 10:10:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 13:30:00' }),
|
|
||||||
// 35/36：🔥 不考核快递（业务 2026-10-20）：中铁物流、壹米滴答专线 —— 一律跳过。
|
|
||||||
// 这两单状态/时间都够超时，靠快递名剔除，同时计入 summary.carrierSkipped
|
|
||||||
mk({ so_id: 'SO-35', inner_order_id: 35, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-25 01:00:00',
|
|
||||||
last_oa_confirm_time: '2026-09-25 01:30:00', logistic_company_name: '中铁物流' }),
|
|
||||||
mk({ so_id: 'SO-36', inner_order_id: 36, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-25 02:00:00',
|
|
||||||
last_oa_confirm_time: '2026-09-25 02:30:00', logistic_company_name: '壹米滴答专线' }),
|
|
||||||
// 37：销售订单 status=Sent（已发货），状态表还是「发货中 + send_time 空」→ 必须剔除
|
|
||||||
mk({ so_id: 'SO-37', inner_order_id: 37, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-09-22 08:50:00',
|
|
||||||
last_oa_confirm_time: '2026-09-22 09:05:00' }),
|
|
||||||
];
|
|
||||||
|
|
||||||
// 13:00 轮：窗口上界 07:00（按创建时间），核验时刻 13:00
|
|
||||||
const noonRows = [
|
|
||||||
// 21：创建 06:45（7 点前）+ 审核 07:20 → 进 13:00 轮；已等 = 13:00 − 07:20 = 340 分
|
|
||||||
mk({ so_id: 'SO-21', inner_order_id: 21, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 06:40:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 07:20:00' }),
|
|
||||||
// 22：创建 05:55 + 审核 06:40 → 13:00 核验只等 380 分钟，也必须算超时（无 24h 门槛）
|
|
||||||
mk({ so_id: 'SO-22', inner_order_id: 22, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 05:50:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 06:40:00' }),
|
|
||||||
// 23：昨天创建、至今未发（历史未发池）→ 13:00 轮也要看到
|
|
||||||
mk({ so_id: 'SO-23', inner_order_id: 23, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-19 19:50:00',
|
|
||||||
last_oa_confirm_time: '2026-10-19 20:10:00' }),
|
|
||||||
// 24：创建 07:30 晚于窗口上界 07:00 → 本轮不核验（窗口卡的是创建时间）
|
|
||||||
mk({ so_id: 'SO-24', inner_order_id: 24, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-20 07:29:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 07:40:00' }),
|
|
||||||
// 25：🔥 被「重新审核」过的单：首次审核 10-19 10:10、最后一次 10-20 13:30。
|
|
||||||
// 时长必须按**首次**审核算（1610 分），用 last 会算成 0 分
|
|
||||||
mk({ so_id: 'SO-25', inner_order_id: 25, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-19 09:59:00',
|
|
||||||
first_oa_confirm_time: '2026-10-19 10:10:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 13:30:00' }),
|
|
||||||
// 26：🔥 今天 13:10 才审（晚于核验时刻 13:00）→ 已等时长回退按创建时间算，
|
|
||||||
// 不能显示 0 分（真实案例：创建 10-18 的单今天才审）
|
|
||||||
mk({ so_id: 'SO-26', inner_order_id: 26, warehouse_name: '简尚-崔桥工厂仓',
|
|
||||||
order_status_name: '发货中', pay_time: '2026-10-18 11:59:00',
|
|
||||||
first_oa_confirm_time: '2026-10-20 13:10:00',
|
|
||||||
last_oa_confirm_time: '2026-10-20 13:10:00' }),
|
|
||||||
];
|
|
||||||
|
|
||||||
const rows = scenario === 'noon' ? noonRows : defaultRows;
|
|
||||||
|
|
||||||
const calls = { state: 0, backfill: 0, sql: [], backfillSql: [], params: [] };
|
|
||||||
|
|
||||||
const handler = async (sql, params) => {
|
|
||||||
const text = String(sql);
|
|
||||||
if (/jst_warehouseInfo/u.test(text)) {
|
|
||||||
return [
|
|
||||||
{ Id: 1, name: '简尚-崔桥工厂仓', wms_co_id: wmsId },
|
|
||||||
{ Id: 2, name: '简尚-山东青岗集仓', wms_co_id: 15137523 },
|
|
||||||
{ Id: 3, name: '简尚-山东品牌仓', wms_co_id: 15182705 },
|
|
||||||
{ Id: 4, name: '简尚-河南洛宁仓', wms_co_id: 15539084 },
|
|
||||||
];
|
|
||||||
}
|
|
||||||
// 补「起算点 + 作废事实」：按 o_id 分批 IN 两张订单表
|
|
||||||
if (/FROM dbo\.(jst_Orders|jst_qmcust_orderlist)/u.test(text)) {
|
|
||||||
calls.backfill += 1;
|
|
||||||
calls.backfillSql.push(text);
|
|
||||||
const table = /jst_qmcust_orderlist/u.test(text) ? 'jst_qmcust_orderlist' : 'jst_Orders';
|
|
||||||
const m = text.match(/IN \(([0-9,\s]+)\)/u);
|
|
||||||
const ids = m ? m[1].split(',').map((s) => Number(s.trim())) : [];
|
|
||||||
return ids
|
|
||||||
.filter((id) => factsMap[id] && factsMap[id].table === table)
|
|
||||||
.map((id) => {
|
|
||||||
const x = factsMap[id];
|
|
||||||
return {
|
|
||||||
o_id: id,
|
|
||||||
created: x.created,
|
|
||||||
status: x.status,
|
|
||||||
send_date: x.send_date,
|
|
||||||
is_merge: x.is_merge,
|
|
||||||
is_split: x.is_split,
|
|
||||||
};
|
|
||||||
});
|
|
||||||
}
|
|
||||||
calls.state += 1;
|
|
||||||
calls.sql.push(text);
|
|
||||||
calls.params.push(params || {});
|
|
||||||
return rows;
|
|
||||||
};
|
|
||||||
|
|
||||||
require.cache[dbPath] = {
|
|
||||||
id: dbPath,
|
|
||||||
filename: dbPath,
|
|
||||||
loaded: true,
|
|
||||||
exports: { query: handler, querySlow: handler },
|
|
||||||
};
|
|
||||||
return { calls, wmsId };
|
|
||||||
}
|
|
||||||
|
|
||||||
function withStubbedService(fn, scenario = 'default') {
|
|
||||||
return async () => {
|
|
||||||
const dbPath = require.resolve('../src/config/cloudDatabase');
|
|
||||||
const realDb = require.cache[dbPath];
|
|
||||||
const ctx = stubDb(dbPath, scenario);
|
|
||||||
delete require.cache[require.resolve('../src/services/warehouseShipTimelinessService')];
|
|
||||||
delete require.cache[require.resolve('../src/services/warehouseShipTimelinessRegistry')];
|
|
||||||
try {
|
|
||||||
const svc = require('../src/services/warehouseShipTimelinessService');
|
|
||||||
await fn(svc, ctx);
|
|
||||||
} finally {
|
|
||||||
if (realDb) require.cache[dbPath] = realDb;
|
|
||||||
else delete require.cache[dbPath];
|
|
||||||
delete require.cache[require.resolve('../src/services/warehouseShipTimelinessService')];
|
|
||||||
delete require.cache[require.resolve('../src/services/warehouseShipTimelinessRegistry')];
|
|
||||||
}
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
test('服务层三态分流：超时未发货 / 不计考核 / 丢弃', withStubbedService(async (svc, { calls }) => {
|
|
||||||
// 18:05 → 18:00 轮：窗口上界 16:00（按审核时间），核验时刻 18:00
|
|
||||||
const data = await svc.getShipTimeliness({ now: at(18, 5), limit: 10 });
|
|
||||||
const c = data.centers.find((x) => x.key === 'CQ');
|
|
||||||
assert.ok(c, '应能归到崔桥工厂仓');
|
|
||||||
|
|
||||||
// 超时 = 1（09-25 审核）+ 3（补不到创建时间）+ 13（15:30 审核，只等 2.5 小时）
|
|
||||||
// + 32（山东品牌仓 14:30）+ 34（河南洛宁 12:30）+ 26（今天 13:10 审核）
|
|
||||||
// = 6 单
|
|
||||||
// 2/6 今天审核晚于 16:00、4/5 不计考核、7 非主仓、8 去重、9~12 作废/已发
|
|
||||||
// 31/33 是仓级例外窗口（山东 15:00 / 河南洛宁 13:00）挡掉的
|
|
||||||
assert.equal(c.overdueUnshipped, 5, '1、3、13、26、25 五单算超时');
|
|
||||||
assert.equal(c.oldestDays, 25, '最久一单 09-25 01:00 审核，到 18:00 核验是 25 天');
|
|
||||||
assert.equal(c.heldCount, 2, '待审核 + 异常各 1 单');
|
|
||||||
|
|
||||||
assert.equal(data.summary.overdueUnshipped, 7);
|
|
||||||
assert.equal(data.summary.overdueCenterCount, 3);
|
|
||||||
assert.equal(data.summary.oldestDays, 25);
|
|
||||||
assert.equal(data.summary.heldCount, 2);
|
|
||||||
|
|
||||||
// 明细：最久的排最前；基准时间是**审核时间**，创建时间只展示
|
|
||||||
assert.equal(data.orders.length, 7);
|
|
||||||
assert.equal(String(data.orders[0].oId), '1');
|
|
||||||
assert.equal(data.orders[0].auditTime, '2026-09-25 01:00:00', '基准是审核时间');
|
|
||||||
assert.equal(data.orders[0].createdAt, '2026-09-25 00:50:00', '创建时间只作展示');
|
|
||||||
assert.equal(data.orders[0].payTime, '2026-09-24 23:50:00');
|
|
||||||
assert.equal(data.orders[0].benchmarkSource, 'last_audit');
|
|
||||||
// 09-25 01:00 → 10-20 18:00 = 25 天 + 17 小时 = 37020 分钟
|
|
||||||
assert.equal(data.orders[0].overdueMinutes, 37020);
|
|
||||||
|
|
||||||
// 13 号单：15:30 审核 → 18:00 核验只等了 150 分钟，旧版 24h 门槛会漏，本版必须算
|
|
||||||
const fresh = data.orders.find((o) => String(o.oId) === '13');
|
|
||||||
assert.ok(fresh, '只等 2.5 小时也必须算超时（无 24h 门槛）');
|
|
||||||
assert.equal(fresh.overdueMinutes, 150);
|
|
||||||
assert.equal(fresh.waitedHours, 2.5);
|
|
||||||
|
|
||||||
// 26 号单：创建 10-18、今天 13:10 才审核 → 属于 18:00 轮，已等 = 18:00 − 13:10 = 290
|
|
||||||
const lateAudit = data.orders.find((o) => String(o.oId) === '26');
|
|
||||||
assert.ok(lateAudit, '下午才审核的老单要进 18:00 轮（不能因为创建早就算进 13:00 轮）');
|
|
||||||
assert.equal(lateAudit.overdueMinutes, 290);
|
|
||||||
|
|
||||||
// 25 号：重审单 → 审核时间必须显示**最后一次**（13:30，与聚水潭一致），不是首次 10:10
|
|
||||||
const reAudited = data.orders.find((o) => String(o.oId) === '25');
|
|
||||||
assert.ok(reAudited, '重审单也要算');
|
|
||||||
assert.equal(reAudited.auditTime, '2026-10-20 13:30:00', '聚水潭「审核时间」= 最后一次审核');
|
|
||||||
assert.equal(reAudited.overdueMinutes, 270, '18:00 − 13:30');
|
|
||||||
|
|
||||||
// 3 号单订单表补不到 created，展示回退付款时间，超时判定仍用审核时间
|
|
||||||
const third = data.orders.find((o) => String(o.oId) === '3');
|
|
||||||
assert.ok(third, '补不到创建时间的单也要算超时');
|
|
||||||
assert.equal(third.createdAt, '', '确实没补到');
|
|
||||||
assert.equal(third.benchmarkSource, 'last_audit');
|
|
||||||
assert.equal(third.payTime, '2026-09-26 00:10:00');
|
|
||||||
|
|
||||||
// 创建时间晚于窗口上界 → 本轮不核验（2 号：创建 16:20、6 号：创建 17:00）
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === '2'), '创建 16:20 晚于 16:00 本轮不核验');
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === '6'), '创建 17:00 晚于 16:00 本轮不核验');
|
|
||||||
|
|
||||||
// ── 仓级例外窗口（业务 2026-10-20：山东两仓 15:00、河南洛宁 13:00）──
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === '31'),
|
|
||||||
'山东青岗集仓 15:30 创建 → 晚于该仓 15:00 上界，18:00 轮不核验');
|
|
||||||
assert.ok(data.orders.some((o) => String(o.oId) === '32'),
|
|
||||||
'山东品牌仓 14:30 创建 → 早于该仓 15:00 上界，要核验');
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === '33'),
|
|
||||||
'河南洛宁仓 13:30 创建 → 晚于该仓 13:00 上界，18:00 轮不核验');
|
|
||||||
assert.ok(data.orders.some((o) => String(o.oId) === '34'),
|
|
||||||
'河南洛宁仓 12:30 创建 → 早于该仓 13:00 上界，要核验');
|
|
||||||
assert.equal(data.window.overrides.length, 3, '山东两仓 + 河南洛宁 三处例外');
|
|
||||||
assert.deepEqual(
|
|
||||||
data.window.overrides.map((o) => [o.key, o.hour]).sort(),
|
|
||||||
[['HN_LN', 13], ['SD_BRAND', 15], ['SD_QGJ', 15]]
|
|
||||||
);
|
|
||||||
// 例外只作用在 18:00 轮；13:00 轮没有例外（见下一个用例）
|
|
||||||
assert.match(data.window.overrides.find((o) => o.key === 'HN_LN').windowEnd, /13:00:00$/u);
|
|
||||||
// 被排除的仓不能算
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === '7'), '京东云仓不参与考核');
|
|
||||||
// 9(状态表已取消) / 10(Merged) / 11(已发) / 12(拆单父单) 都不能进任何清单
|
|
||||||
for (const id of ['9', '10', '11', '12']) {
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === id), `o_id=${id} 不该进超时明细`);
|
|
||||||
assert.ok(!data.heldOrders.some((o) => String(o.oId) === id), `o_id=${id} 不该进挂起清单`);
|
|
||||||
}
|
|
||||||
// 这 5 单要计进 voidCount（9/10/11/12 作废或已发 + 37 销售订单已发货 Sent）
|
|
||||||
assert.equal(data.summary.voidCount, 5, '作废/已发单要计入剔除数');
|
|
||||||
|
|
||||||
// 不考核快递：中铁物流、壹米滴答专线必须整单跳过（业务 2026-10-20）
|
|
||||||
assert.equal(data.summary.carrierSkipped, 2, '自提/中铁/壹米滴答 要计入 carrierSkipped');
|
|
||||||
assert.ok(
|
|
||||||
!data.orders.some((o) => ['SO-35', 'SO-36'].includes(o.soId)),
|
|
||||||
'不考核快递的单不能出现在超时明细里'
|
|
||||||
);
|
|
||||||
assert.deepEqual(data.excludedCarriers, ['自提', '中铁', '壹米滴答']);
|
|
||||||
|
|
||||||
// 不计考核清单
|
|
||||||
assert.equal(data.heldOrders.length, 2);
|
|
||||||
const reasons = data.heldOrders.map((h) => h.holdReason).sort();
|
|
||||||
assert.deepEqual(reasons, ['待审核', '订单异常'].sort());
|
|
||||||
|
|
||||||
// 新鲜度直接取自主查询的 query_time，不再额外扫表
|
|
||||||
assert.equal(data.freshness.stateMaxQuery, '2026-10-20 11:18:27');
|
|
||||||
// 🔥 2026-10-20：上游 ETL 停更时页面必须自己喊出来（当天 15:48 之后 0 行刷新，
|
|
||||||
// 业务看到「已发货的单还显示未发货」，其实是旧快照）。阈值 90 分钟。
|
|
||||||
assert.equal(typeof data.freshness.ageMinutes, 'number', '要给出快照距今多少分钟');
|
|
||||||
assert.equal(
|
|
||||||
data.freshness.stale,
|
|
||||||
data.freshness.ageMinutes > 90,
|
|
||||||
'滞后超过 90 分钟必须标 stale（阈值与 STATE_STALE_MINUTES 对齐）'
|
|
||||||
);
|
|
||||||
if (data.freshness.stale) {
|
|
||||||
assert.match(data.freshness.hint, /未刷新/u, 'stale 时必须给出人话提示');
|
|
||||||
}
|
|
||||||
// 快照 11:18 早于本轮 18:00 核验时刻 → 必须明确「数据没覆盖核验时刻」
|
|
||||||
assert.equal(data.freshness.coversDeadline, false, '快照早于核验时刻时 coversDeadline 必须为 false');
|
|
||||||
assert.match(data.freshness.hint, /没覆盖|未覆盖/u, '没覆盖核验时刻要在提示里说清楚');
|
|
||||||
|
|
||||||
// ── 性能护栏 ────────────────────────────────────────────────────────
|
|
||||||
assert.equal(calls.state, 1, '状态表只允许查一次（金额/新鲜度不许再扫表）');
|
|
||||||
const sql = calls.sql[0];
|
|
||||||
assert.match(sql, /jst_order_express_details/u, '数据源必须是实时状态表');
|
|
||||||
assert.match(sql, /e\.send_time IS NULL/u, '已发货靠 send_time 判');
|
|
||||||
// 本版基准是审核时间 → 两列审核时间都必须在投影里
|
|
||||||
assert.match(sql, /e\.last_oa_confirm_time/u, '窗口上界按审核时间判，必须取这一列');
|
|
||||||
assert.match(sql, /e\.first_oa_confirm_time/u, '审核时间缺失时用首次审核时间兜底');
|
|
||||||
// 🔥 不再把「创建/付款 ≤ 核验时刻−24h」下推到 SQL（24h 门槛已取消）
|
|
||||||
assert.doesNotMatch(sql, /@cutoff/u, '不许再有 24h 超时下推参数');
|
|
||||||
assert.doesNotMatch(sql, /pay_time <=/u, '不许再按付款时间做 24h 截断');
|
|
||||||
assert.doesNotMatch(sql, /createdAt/u, '状态表的 createdAt 是同步落库时间，不能用');
|
|
||||||
// 宽列会触发基表回表：同一 WHERE 取 2 列 0.7s，取 15 列（含长文本）54s
|
|
||||||
assert.doesNotMatch(sql, /order_labels|buyer_message|remark/u, '不能投影长文本列');
|
|
||||||
assert.doesNotMatch(sql, /CONVERT/u, '不要在 SQL 里 CONVERT 时间列');
|
|
||||||
assert.doesNotMatch(sql, /modified/u, 'modified 每天凌晨被批量刷新，不可用');
|
|
||||||
assert.doesNotMatch(sql, /pay_amount|jst_salesOutboundInfo/u, '不许补金额，也不再查出库单表');
|
|
||||||
|
|
||||||
// 补创建时间：必须走两张订单表，且**只投影 6 个窄列**
|
|
||||||
assert.ok(calls.backfill >= 1, '必须回订单表补创建时间与作废事实');
|
|
||||||
for (const bs of calls.backfillSql) {
|
|
||||||
assert.match(bs, /SELECT o_id, created, status, send_date, is_merge, is_split\s+FROM\s+dbo\.(jst_Orders|jst_qmcust_orderlist)/u,
|
|
||||||
`补订单事实只能取这 6 个窄列：${bs.slice(0, 90)}`);
|
|
||||||
assert.doesNotMatch(bs, /pay_amount|labels|buyer_message|remark|SELECT \*/u,
|
|
||||||
'多取一列就会把 0.2s 拖到 38s');
|
|
||||||
}
|
|
||||||
|
|
||||||
// ⚠️ 窗口参数走 params，不在 SQL 里手写
|
|
||||||
assert.equal(calls.params[0].windowStart, '2026-09-20 00:00:00', '下界是近 30 天');
|
|
||||||
assert.equal(calls.params[0].cutoff, undefined, '24h 下推参数已删除');
|
|
||||||
assert.equal(calls.params[0].shipStatus, '发货中');
|
|
||||||
|
|
||||||
// round 必须带出 windowEnd，否则页面渲染成「核验 前」
|
|
||||||
assert.equal(data.round.key, 'AFTERNOON');
|
|
||||||
assert.match(String(data.round.windowEnd), /16:00:00$/u);
|
|
||||||
assert.equal(data.window.boundary, 'audit', '窗口按审核时间判，要透出给前端');
|
|
||||||
assert.equal(data.window.measuredBy, 'audit', '已等时长按审核时间算');
|
|
||||||
}));
|
|
||||||
|
|
||||||
test('13:00 轮：只核验「今天 00:00~07:00 审核」的单 + 历史未发', withStubbedService(async (svc) => {
|
|
||||||
const data = await svc.getShipTimeliness({ now: at(13, 5), limit: 10 });
|
|
||||||
assert.equal(data.round.key, 'NOON');
|
|
||||||
assert.equal(data.round.windowEnd, '2026-10-20 07:00:00');
|
|
||||||
|
|
||||||
// 21 号：今天 07:20 审核 → 晚于 7 点，**不属于 13:00 轮**（业务口径：7 点前审核的才 13:00 核验）
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === '21'),
|
|
||||||
'今天 07:20 审核 → 不是 7 点前审核的单，13:00 轮不该出现');
|
|
||||||
// 24 号：今天 07:40 审核 → 同理不核验
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === '24'),
|
|
||||||
'今天 07:40 审核 → 不进 13:00 轮');
|
|
||||||
// 26 号：今天 13:10 才审核（9818476 那种形态）→ 更不能进 13:00 轮
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === '26'),
|
|
||||||
'下午才审核的老单不能进 13:00 轮');
|
|
||||||
|
|
||||||
// 22 号：今天 06:40 审核（6:30~7:00 这段）→ 13:00 只等 380 分钟，必须超时（无 24h 门槛）
|
|
||||||
const b = data.orders.find((o) => String(o.oId) === '22');
|
|
||||||
assert.ok(b, '6:30~7:00 审核、13:00 未发就是超时');
|
|
||||||
assert.equal(b.benchmarkSource, 'last_audit');
|
|
||||||
assert.equal(b.overdueMinutes, 380);
|
|
||||||
assert.equal(b.waitedHours, 6.3);
|
|
||||||
// 23 号：昨天审核、至今未发 → 历史未发池也要看到
|
|
||||||
const d = data.orders.find((o) => String(o.oId) === '23');
|
|
||||||
assert.ok(d, '含历史未发单（历史不受 00:00 起限制）');
|
|
||||||
assert.equal(d.overdueMinutes, 1010);
|
|
||||||
|
|
||||||
// 25 号：最后一次审核 10-20 13:30 → 不属于「7 点前审核」，13:00 轮不核验
|
|
||||||
assert.ok(!data.orders.some((o) => String(o.oId) === '25'),
|
|
||||||
'重审到 13:30 的单归 18:00 轮，不进 13:00 轮');
|
|
||||||
|
|
||||||
// 13:00 轮 = 22（今天 06:40 审核）+ 23（昨天 20:10 审核，历史未发）= 2 单
|
|
||||||
assert.equal(data.summary.overdueUnshipped, 2);
|
|
||||||
assert.equal(data.window.boundary, 'audit', '窗口按审核时间判');
|
|
||||||
// 仓级例外只在 18:00 轮生效，13:00 轮没有例外
|
|
||||||
assert.equal(data.window.overrides.length, 0, '13:00 轮统一 07:00，无仓级例外');
|
|
||||||
}, 'noon'));
|
|
||||||
|
|
||||||
test('服务层 13:00 前返回 notStarted，且不去查状态表', withStubbedService(async (svc, { calls }) => {
|
|
||||||
const data = await svc.getShipTimeliness({ now: at(9, 30), limit: 10 });
|
|
||||||
assert.equal(data.notStarted, true);
|
|
||||||
assert.equal(data.round, null);
|
|
||||||
assert.equal(data.orders.length, 0);
|
|
||||||
assert.equal(data.summary.overdueUnshipped, 0);
|
|
||||||
// 11 个主仓仍然列出来（结构不能塌），但数字全为 0
|
|
||||||
assert.equal(data.centers.length, registry.CENTERS.length);
|
|
||||||
assert.ok(data.centers.every((x) => x.overdueUnshipped === 0));
|
|
||||||
assert.equal(calls.state, 0, '未到核验时间不应查库');
|
|
||||||
assert.equal(calls.backfill, 0, '未到核验时间也不该回订单表');
|
|
||||||
assert.match(data.note, /13:00/u);
|
|
||||||
assert.equal(data.nextRoundAt, '2026-10-20 13:00:00');
|
|
||||||
assert.equal(data.nextWindowEnd, '2026-10-20 07:00:00');
|
|
||||||
}));
|
|
||||||
|
|
||||||
// ── ⑧ 时区：生产容器是 UTC，库里时间是北京时间 ──────────────────────────
|
|
||||||
// 2026-10-21 实测：容器 /etc/timezone=Etc/UTC，mssql useUTC:false 把 GETDATE()
|
|
||||||
// 构造成「墙钟当 UTC」的 Date → 比真实 now 快 8 小时。北京时间 00:00~08:00
|
|
||||||
// 服务端取到的是「昨天」，13:00 轮因此把整个历史未发池算进来（3895 单 vs 本地 6 单）。
|
|
||||||
test('beijingNow：任何机器时区下读出来的本地时间都等于北京时间', () => {
|
|
||||||
// 真实时刻 2026-10-21T00:04:00Z = 北京时间 2026-10-21 08:04
|
|
||||||
const base = new Date('2026-10-21T00:04:00Z');
|
|
||||||
const bj = registry.beijingNow(base);
|
|
||||||
const stamp = (d) => `${d.getFullYear()}-${String(d.getMonth() + 1).padStart(2, '0')}`
|
|
||||||
+ `-${String(d.getDate()).padStart(2, '0')} `
|
|
||||||
+ `${String(d.getHours()).padStart(2, '0')}:${String(d.getMinutes()).padStart(2, '0')}`;
|
|
||||||
assert.equal(stamp(bj), '2026-10-21 08:04', '平移后本地 getter 必须读出北京时间');
|
|
||||||
|
|
||||||
// 跨日场景：真实时刻 2026-10-20T23:48:00Z = 北京时间 2026-10-21 07:48（UTC 上还是「昨天」）
|
|
||||||
const midnight = registry.beijingNow(new Date('2026-10-20T23:48:00Z'));
|
|
||||||
assert.equal(stamp(midnight).slice(0, 10), '2026-10-21',
|
|
||||||
'北京时间 00:00~08:00 不能取成前一天');
|
|
||||||
});
|
|
||||||
|
|
||||||
test('resolveActiveRound 默认按北京时间取「今天」，不依赖容器时区', () => {
|
|
||||||
// 北京时间 2026-10-21 07:48（UTC 上是 10-20 23:48）→ 还没到 13:00，应当 notStarted
|
|
||||||
const round = registry.resolveActiveRound(registry.beijingNow(new Date('2026-10-20T23:48:00Z')));
|
|
||||||
assert.equal(round, null, '北京时间 07:48 未到 13:00 首轮核验');
|
|
||||||
// 北京时间 2026-10-21 13:30 → 13:00 轮生效，窗口上界 07:00、核验 13:00
|
|
||||||
const noon = registry.resolveActiveRound(registry.beijingNow(new Date('2026-10-21T05:30:00Z')));
|
|
||||||
assert.equal(noon.key, 'NOON');
|
|
||||||
assert.equal(noon.date, '2026-10-21');
|
|
||||||
assert.equal(noon.deadline, '2026-10-21 13:00:00');
|
|
||||||
assert.equal(noon.windowEnd, '2026-10-21 07:00:00');
|
|
||||||
});
|
|
||||||
@ -1,40 +0,0 @@
|
|||||||
import request from './request';
|
|
||||||
|
|
||||||
const LONG_TIMEOUT_MS = 10 * 60 * 1000;
|
|
||||||
|
|
||||||
// 缺货补货监控（拣货位缺货 → 从存货位补货）
|
|
||||||
// params.warehouse: changzhou / wh7 / suining / henglin2 / subei / henglin3（缺省 = 常州主仓）
|
|
||||||
export const getBinReplenishList = (params = {}) => request.get(
|
|
||||||
'/api/bin-replenish/list',
|
|
||||||
{ params, timeout: LONG_TIMEOUT_MS }
|
|
||||||
);
|
|
||||||
|
|
||||||
export const exportBinReplenish = (params = {}) => request.get(
|
|
||||||
'/api/bin-replenish/export',
|
|
||||||
{
|
|
||||||
params,
|
|
||||||
responseType: 'blob',
|
|
||||||
timeout: LONG_TIMEOUT_MS,
|
|
||||||
silentError: true,
|
|
||||||
}
|
|
||||||
);
|
|
||||||
|
|
||||||
export const getPickBinMeta = (warehouse) => request.get(
|
|
||||||
'/api/bin-replenish/pick-bins',
|
|
||||||
{ params: warehouse ? { warehouse } : {} }
|
|
||||||
);
|
|
||||||
|
|
||||||
export const importPickBins = (file, warehouse) => {
|
|
||||||
const formData = new FormData();
|
|
||||||
formData.append('file', file);
|
|
||||||
if (warehouse) formData.append('warehouse', warehouse);
|
|
||||||
return request.post('/api/bin-replenish/pick-bins', formData, {
|
|
||||||
headers: { 'Content-Type': 'multipart/form-data' },
|
|
||||||
timeout: LONG_TIMEOUT_MS,
|
|
||||||
});
|
|
||||||
};
|
|
||||||
|
|
||||||
export const clearPickBins = (warehouse) => request.delete(
|
|
||||||
'/api/bin-replenish/pick-bins',
|
|
||||||
{ params: warehouse ? { warehouse } : {} }
|
|
||||||
);
|
|
||||||
@ -1,16 +0,0 @@
|
|||||||
import request from './request';
|
|
||||||
|
|
||||||
const LIST_TIMEOUT_MS = 5 * 60 * 1000;
|
|
||||||
|
|
||||||
// 拣选库位动销分析：仓库 × 仓位 → 类型 / 库存数量 / SKU数 / 近N天销量 / 日销 / 动销等级
|
|
||||||
// refresh=1 跳过后端 5 分钟缓存，强制重算
|
|
||||||
export const getPickingBinSalesAnalysis = (params = {}) => request.get(
|
|
||||||
'/api/picking-bin-sales-analysis',
|
|
||||||
{ params, timeout: LIST_TIMEOUT_MS }
|
|
||||||
);
|
|
||||||
|
|
||||||
// 导出库位明细（xlsx/csv，服务端直接返回文件流）
|
|
||||||
export const exportPickingBinSalesAnalysis = (params = {}) => request.get(
|
|
||||||
'/api/picking-bin-sales-analysis/export',
|
|
||||||
{ params, responseType: 'blob', timeout: LIST_TIMEOUT_MS }
|
|
||||||
);
|
|
||||||
@ -1,59 +0,0 @@
|
|||||||
import request from './request';
|
|
||||||
|
|
||||||
// 转运异常要扫一遍「昨日发货」的物流宽表（rpt 下全是视图），冷启动实测 20 秒左右，
|
|
||||||
// 超时放大到 3 分钟，避免前端先断开、后端还在跑。
|
|
||||||
const TIMEOUT_MS = 3 * 60 * 1000;
|
|
||||||
|
|
||||||
// 仓储中心物流转运异常：12 个发货仓的异常单量 + 明细
|
|
||||||
// params.date 核验日 'YYYY-MM-DD'（默认：已过 09:00 用今天，否则用昨天）
|
|
||||||
// params.limit 明细条数上限
|
|
||||||
// params.force 1 = 绕过 5 分钟结果缓存
|
|
||||||
export const getWarehouseLogisticsExceptions = (params = {}) => request.get(
|
|
||||||
'/api/warehouse-logistics-exception/list',
|
|
||||||
{
|
|
||||||
params,
|
|
||||||
timeout: TIMEOUT_MS,
|
|
||||||
headers: { 'Cache-Control': 'no-cache' },
|
|
||||||
}
|
|
||||||
);
|
|
||||||
|
|
||||||
// 口径元数据（12 个仓、异常类型、回看天数），不打库，秒回
|
|
||||||
export const getWarehouseLogisticsExceptionMeta = () => request.get(
|
|
||||||
'/api/warehouse-logistics-exception/meta',
|
|
||||||
{ timeout: 30000 }
|
|
||||||
);
|
|
||||||
|
|
||||||
// 导出用：同一套口径、不分页（明细上限放到 5000），比列表更慢，超时再放大
|
|
||||||
export const getWarehouseLogisticsExceptionExportRows = (params = {}) => request.get(
|
|
||||||
'/api/warehouse-logistics-exception/export',
|
|
||||||
{
|
|
||||||
params,
|
|
||||||
timeout: 5 * 60 * 1000,
|
|
||||||
headers: { 'Cache-Control': 'no-cache' },
|
|
||||||
}
|
|
||||||
);
|
|
||||||
|
|
||||||
// ── 每天定点推文本到钉钉群 ────────────────────────────────────────────────
|
|
||||||
// 通道 = 群自定义机器人 webhook（不发 .xlsx，只发 text；加签密钥可选）
|
|
||||||
// 读配置：加签密钥只回掩码（webhookSecretConfigured + webhookSecretPreview）
|
|
||||||
export const getWarehouseLogisticsExceptionNotifySettings = () => request.get(
|
|
||||||
'/api/warehouse-logistics-exception/notify/settings',
|
|
||||||
{ timeout: 30000, headers: { 'Cache-Control': 'no-cache' } }
|
|
||||||
);
|
|
||||||
|
|
||||||
// 保存配置：加签密钥留空 = 沿用已存的，不必每次重填
|
|
||||||
export const saveWarehouseLogisticsExceptionNotifySettings = (payload = {}) => request.put(
|
|
||||||
'/api/warehouse-logistics-exception/notify/settings',
|
|
||||||
payload,
|
|
||||||
{ timeout: 30000 }
|
|
||||||
);
|
|
||||||
|
|
||||||
// 立即推送 / 预览正文 / 测试通道
|
|
||||||
// dryRun=true 只组装消息不发送（返回正文全文）
|
|
||||||
// probe=true 只发一句通道测试，不查业务数据
|
|
||||||
// 冷启动要全量扫一遍物流宽表（生产实测 3~4 分钟），超时给足
|
|
||||||
export const runWarehouseLogisticsExceptionNotify = (payload = {}) => request.post(
|
|
||||||
'/api/warehouse-logistics-exception/notify/run',
|
|
||||||
payload,
|
|
||||||
{ timeout: 10 * 60 * 1000 }
|
|
||||||
);
|
|
||||||
@ -1,23 +0,0 @@
|
|||||||
import request from './request';
|
|
||||||
|
|
||||||
// 发货时效要扫两张订单表 + 出库表（rpt 下全是视图），冷启动实测 40~50 秒，
|
|
||||||
// 超时必须放大到 3 分钟，否则前端会先断开、后端还在跑。
|
|
||||||
const TIMELINESS_TIMEOUT_MS = 3 * 60 * 1000;
|
|
||||||
|
|
||||||
// 仓储中心 24 小时发货时效：每个主仓「超时未发」数量 + 超时订单明细
|
|
||||||
// params.round 'NOON' | 'AFTERNOON'（不传按当前时刻自动判定）
|
|
||||||
// params.limit 明细条数上限
|
|
||||||
export const getWarehouseShipTimeliness = (params = {}) => request.get(
|
|
||||||
'/api/warehouse-ship-timeliness/list',
|
|
||||||
{
|
|
||||||
params,
|
|
||||||
timeout: TIMELINESS_TIMEOUT_MS,
|
|
||||||
headers: { 'Cache-Control': 'no-cache' },
|
|
||||||
}
|
|
||||||
);
|
|
||||||
|
|
||||||
// 仅取今日两轮核验的描述（不打订单表，秒回），用于顶部提示
|
|
||||||
export const getWarehouseShipTimelinessRounds = () => request.get(
|
|
||||||
'/api/warehouse-ship-timeliness/rounds',
|
|
||||||
{ timeout: 30000 }
|
|
||||||
);
|
|
||||||
@ -29,7 +29,6 @@ export const DEFAULT_SIDEBAR_CONFIG = {
|
|||||||
],
|
],
|
||||||
},
|
},
|
||||||
{ key: 'work-orders', type: 'item', label: '工单待办', icon: 'message', routeKey: 'work-orders', visible: true, order: 100 },
|
{ key: 'work-orders', type: 'item', label: '工单待办', icon: 'message', routeKey: 'work-orders', visible: true, order: 100 },
|
||||||
{ key: 'bin-replenish-monitor', type: 'item', label: '缺货补货监控', icon: 'inbox', routeKey: 'bin-replenish-monitor', visible: true, order: 90 },
|
|
||||||
{
|
{
|
||||||
key: 'modular-stock-monitor', type: 'group', label: '模块化库存监控', icon: 'appstore', visible: true, order: 105, defaultExpanded: true,
|
key: 'modular-stock-monitor', type: 'group', label: '模块化库存监控', icon: 'appstore', visible: true, order: 105, defaultExpanded: true,
|
||||||
children: [
|
children: [
|
||||||
@ -37,14 +36,11 @@ export const DEFAULT_SIDEBAR_CONFIG = {
|
|||||||
{ key: 'mkh-bom-data', label: 'MKH-BOM资料', icon: 'table', routeKey: 'mkh-bom-data', visible: true, order: 20 },
|
{ key: 'mkh-bom-data', label: 'MKH-BOM资料', icon: 'table', routeKey: 'mkh-bom-data', visible: true, order: 20 },
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
{ key: 'warehouse-ship-timeliness', type: 'item', label: '仓储中心24小时发货时效', icon: 'inbox', routeKey: 'warehouse-ship-timeliness', visible: true, order: 110 },
|
|
||||||
{ key: 'warehouse-logistics-exception', type: 'item', label: '仓储中心物流转运异常', icon: 'warning', routeKey: 'warehouse-logistics-exception', visible: true, order: 111 },
|
|
||||||
{
|
{
|
||||||
key: 'large-stock-monitor', type: 'group', label: '大货库存监控', icon: 'appstore', visible: true, order: 200, defaultExpanded: true,
|
key: 'large-stock-monitor', type: 'group', label: '大货库存监控', icon: 'appstore', visible: true, order: 200, defaultExpanded: true,
|
||||||
children: [
|
children: [
|
||||||
{ key: 'daily-inventory', label: '每日进销存', icon: 'table', routeKey: 'daily-inventory', visible: true, order: 10 },
|
{ key: 'daily-inventory', label: '每日进销存', icon: 'table', routeKey: 'daily-inventory', visible: true, order: 10 },
|
||||||
{ key: 'stock-sales-analysis', label: '库存动销分析', icon: 'line-chart', routeKey: 'stock-sales-analysis', visible: true, order: 20 },
|
{ key: 'stock-sales-analysis', label: '库存动销分析', icon: 'line-chart', routeKey: 'stock-sales-analysis', visible: true, order: 20 },
|
||||||
{ key: 'picking-bin-sales-analysis', label: '拣选库位动销分析', icon: 'inbox', routeKey: 'picking-bin-sales-analysis', visible: true, order: 30 },
|
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
|||||||
@ -1,91 +0,0 @@
|
|||||||
/** 拣选库位动销分析 —— 表头与口径说明（粒度：仓位 × 商品编码） */
|
|
||||||
|
|
||||||
export const PICKING_BIN_COLUMNS = [
|
|
||||||
{
|
|
||||||
key: 'warehouse',
|
|
||||||
label: '仓库',
|
|
||||||
tip: '聚水潭主仓（按 wms_co_id 单仓独立统计，不合并分仓）',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'binName',
|
|
||||||
label: '仓位',
|
|
||||||
tip: '系统仓位编码（jst_packInventoryInfo.bin）；同一仓位有多个商品时会出现多行',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'binType',
|
|
||||||
label: '类型',
|
|
||||||
tip: '统计范围固定为真实拣选仓位（pack_type=Bin 且 bin_group 为空）；箱记录和存货位不纳入动销分析',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'skuId',
|
|
||||||
label: '商品编码',
|
|
||||||
tip: '商品编码（jst_packInventoryInfo.sku_id），一行就是一个「仓位 × 商品」组合',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'stockQty',
|
|
||||||
label: '库存数量',
|
|
||||||
tip: '该商品在这个仓位上的当前库存件数（同一仓位多行的库存相加 = 仓位库存）',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'salesQty',
|
|
||||||
label: '商品销量',
|
|
||||||
tip: '近 N 天该商品的销量（整档，不按仓位分摊）：含线上订单、组合装子件拆分、全民客户(B2B分销)渠道；同一商品占几个仓位，这几行显示的销量都一样，所以这一列不能直接按行求和',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'dailySales',
|
|
||||||
label: '商品日销',
|
|
||||||
tip: '商品销量 ÷ 统计天数，动销等级严格按此值划分',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'gradeKey',
|
|
||||||
label: '动销等级',
|
|
||||||
tip: '按商品日销划分：爆款≥20 / 热卖款 10~20 / 平销款 3~10 / 滞销款-1 1~3 / 滞销款-2 0~1 / 销售=0',
|
|
||||||
},
|
|
||||||
];
|
|
||||||
|
|
||||||
export const PICKING_BIN_WINDOW_OPTIONS = [
|
|
||||||
{ label: '近 7 天', value: 7 },
|
|
||||||
{ label: '近 15 天', value: 15 },
|
|
||||||
{ label: '近 30 天', value: 30 },
|
|
||||||
{ label: '近 60 天', value: 60 },
|
|
||||||
];
|
|
||||||
|
|
||||||
export const PICKING_BIN_DEFAULT_DAYS = 30;
|
|
||||||
|
|
||||||
/** 动销等级展示色（与后端 key 对应） */
|
|
||||||
export const PICKING_BIN_GRADE_COLORS = {
|
|
||||||
hot: 'red',
|
|
||||||
best: 'volcano',
|
|
||||||
normal: 'blue',
|
|
||||||
slow1: 'gold',
|
|
||||||
slow2: 'default',
|
|
||||||
zero: 'default',
|
|
||||||
};
|
|
||||||
|
|
||||||
export const PICKING_BIN_DESCRIPTION = [
|
|
||||||
'【统计范围】只统计真实拣选仓位（pack_type=Bin 且 bin_group 为空）；箱记录（pack_type=Pack）和存货位不纳入动销分析。',
|
|
||||||
'',
|
|
||||||
'【粒度】一行 = 一个「仓位 × 商品编码」组合。一个仓位放了 N 个商品就显示 N 行，列表与导出一致。',
|
|
||||||
' 库存数量 = 该商品在这个仓位上的实际库存（同一仓位多行相加 = 仓位总库存）。',
|
|
||||||
'',
|
|
||||||
'【动销等级口径】按「商品日销」分档：商品日销 = 该商品近 N 天销量 ÷ N。',
|
|
||||||
' 爆款：日销 ≥ 20；热卖款：10 ≤ 日销 ＜ 20；平销款：3 ≤ 日销 ＜ 10；',
|
|
||||||
' 滞销款-1：1 ≤ 日销 ＜ 3；滞销款-2：0 ＜ 日销 ＜ 1；销售=0：窗口内该商品无销量。',
|
|
||||||
' 等级判断的是商品本身的销售速度，与其摆放位置无关 —— 同一件商品占几个仓位，等级都相同。',
|
|
||||||
'默认统计窗口为近 30 天，可切换 7 / 15 / 30 / 60 天。',
|
|
||||||
'',
|
|
||||||
'【为什么不用分摊销量来定等级】',
|
|
||||||
' 同一 SKU 常同时占用多个同类型仓位（崔桥工厂仓实测 3290 个拣选 SKU 中 1431 个跨多个拣选位，最多 24 个）。',
|
|
||||||
' 若把销量先摊到每个仓位再定等级，一件日销 100 的爆款放在 10 个仓位就会被算成日销 10 —— 判断的是「摆法」而不是商品。',
|
|
||||||
'',
|
|
||||||
'【商品销量为什么不能直接按行求和】',
|
|
||||||
' 商品销量取的是整档销量（不除以占用仓位数），同一件商品跨仓位会重复出现，所以该列相加无意义。',
|
|
||||||
' 需要按行求和请用导出文件里的「分摊销量」列：商品销量 ÷ 其占用的同类型仓位数。',
|
|
||||||
' 恒等式已实测校验（差异 0）：全部行分摊销量之和 = 有库位记录的那些 SKU 的销量之和。',
|
|
||||||
' 注意它小于全仓销量：jst_packInventoryInfo 只覆盖部分 SKU 的仓位数据，无仓位记录的 SKU 销量不计入任何库位。',
|
|
||||||
'',
|
|
||||||
'数据来源：库存取 rpt.jst_packInventoryInfo（按仓库 + 仓位 + 商品汇总）；',
|
|
||||||
'销量按 send_date 窗口统计 4 个来源：① jst_Orders 普通商品行；② jst_Orders 组合装行（ZH-拼接编码）按组合装映射展开为子件；',
|
|
||||||
'③ jst_qmcust_orderlist 全民客户(B2B分销)普通行（排除拆单父单 Split）；④ qmcust 组合装行同样展开。',
|
|
||||||
'统计范围：只取 pack_type=Bin 且 bin_group 为空的真实拣选仓位，箱记录（pack_type=Pack）和存货位（bin_group=存货）不参与统计。',
|
|
||||||
];
|
|
||||||
@ -6,13 +6,11 @@ export const SIDEBAR_PAGES = [
|
|||||||
{ pageKey: 'settings', path: '/settings', name: '系统设置', category: 'system', defaultRoles: DEFAULT_SYSTEM_ROLES },
|
{ pageKey: 'settings', path: '/settings', name: '系统设置', category: 'system', defaultRoles: DEFAULT_SYSTEM_ROLES },
|
||||||
{ pageKey: 'daily_inventory', path: '/planning/operation/daily-inventory', name: '每日进销存', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
{ pageKey: 'daily_inventory', path: '/planning/operation/daily-inventory', name: '每日进销存', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
||||||
{ pageKey: 'stock_sales_analysis', path: '/planning/operation/stock-sales-analysis', name: '库存动销分析', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
{ pageKey: 'stock_sales_analysis', path: '/planning/operation/stock-sales-analysis', name: '库存动销分析', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
||||||
{ pageKey: 'picking_bin_sales_analysis', path: '/planning/operation/picking-bin-sales-analysis', name: '拣选库位动销分析', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
|
||||||
{ pageKey: 'returns_inventory_cuiqiao', path: '/planning/operation/returns-inventory/cuiqiao', name: '崔桥工厂仓客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
{ pageKey: 'returns_inventory_cuiqiao', path: '/planning/operation/returns-inventory/cuiqiao', name: '崔桥工厂仓客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
||||||
{ pageKey: 'returns_inventory_subei', path: '/planning/operation/returns-inventory/subei', name: '苏北客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
{ pageKey: 'returns_inventory_subei', path: '/planning/operation/returns-inventory/subei', name: '苏北客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
||||||
{ pageKey: 'returns_inventory_suining', path: '/planning/operation/returns-inventory/suining', name: '睢宁客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
{ pageKey: 'returns_inventory_suining', path: '/planning/operation/returns-inventory/suining', name: '睢宁客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
||||||
{ pageKey: 'returns_inventory_shandong', path: '/planning/operation/returns-inventory/shandong', name: '山东客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
{ pageKey: 'returns_inventory_shandong', path: '/planning/operation/returns-inventory/shandong', name: '山东客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
||||||
{ pageKey: 'returns_inventory_henan', path: '/planning/operation/returns-inventory/henan', name: '河南客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
{ pageKey: 'returns_inventory_henan', path: '/planning/operation/returns-inventory/henan', name: '河南客退数据监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
||||||
{ pageKey: 'bin_replenish_monitor', path: '/planning/operation/bin-replenish-monitor', name: '缺货补货监控', category: 'planning', defaultRoles: DEFAULT_PLANNING_ROLES },
|
|
||||||
];
|
];
|
||||||
|
|
||||||
export const SIDEBAR_PAGE_MAP = SIDEBAR_PAGES.reduce((acc, item) => {
|
export const SIDEBAR_PAGE_MAP = SIDEBAR_PAGES.reduce((acc, item) => {
|
||||||
|
|||||||
@ -23,7 +23,6 @@ import {
|
|||||||
TeamOutlined,
|
TeamOutlined,
|
||||||
UserOutlined,
|
UserOutlined,
|
||||||
SunOutlined,
|
SunOutlined,
|
||||||
WarningOutlined,
|
|
||||||
} from '@ant-design/icons';
|
} from '@ant-design/icons';
|
||||||
import { Dropdown, Switch } from 'antd';
|
import { Dropdown, Switch } from 'antd';
|
||||||
import { verifyToken } from '../api/auth';
|
import { verifyToken } from '../api/auth';
|
||||||
@ -71,7 +70,6 @@ const SIDEBAR_ICON_MAP = {
|
|||||||
shopping: ShoppingOutlined,
|
shopping: ShoppingOutlined,
|
||||||
table: TableOutlined,
|
table: TableOutlined,
|
||||||
team: TeamOutlined,
|
team: TeamOutlined,
|
||||||
warning: WarningOutlined,
|
|
||||||
};
|
};
|
||||||
|
|
||||||
const SIDEBAR_ROUTE_MAP = {
|
const SIDEBAR_ROUTE_MAP = {
|
||||||
@ -121,24 +119,8 @@ const SIDEBAR_ROUTE_MAP = {
|
|||||||
activePath: '/planning/operation/mkh-bom-data',
|
activePath: '/planning/operation/mkh-bom-data',
|
||||||
matchMode: 'prefix',
|
matchMode: 'prefix',
|
||||||
},
|
},
|
||||||
'warehouse-ship-timeliness': {
|
|
||||||
path: '/planning/operation/warehouse-ship-timeliness',
|
|
||||||
activePath: '/planning/operation/warehouse-ship-timeliness',
|
|
||||||
matchMode: 'prefix',
|
|
||||||
},
|
|
||||||
'warehouse-logistics-exception': {
|
|
||||||
path: '/planning/operation/warehouse-logistics-exception',
|
|
||||||
activePath: '/planning/operation/warehouse-logistics-exception',
|
|
||||||
matchMode: 'prefix',
|
|
||||||
},
|
|
||||||
'daily-inventory': { path: '/planning/operation/daily-inventory' },
|
'daily-inventory': { path: '/planning/operation/daily-inventory' },
|
||||||
'stock-sales-analysis': { path: '/planning/operation/stock-sales-analysis' },
|
'stock-sales-analysis': { path: '/planning/operation/stock-sales-analysis' },
|
||||||
'picking-bin-sales-analysis': { path: '/planning/operation/picking-bin-sales-analysis' },
|
|
||||||
'bin-replenish-monitor': {
|
|
||||||
path: '/planning/operation/bin-replenish-monitor',
|
|
||||||
activePath: '/planning/operation/bin-replenish-monitor',
|
|
||||||
matchMode: 'prefix',
|
|
||||||
},
|
|
||||||
settings: { path: '/settings' },
|
settings: { path: '/settings' },
|
||||||
'online-desktop-users': { path: '/settings/online-desktop-users' },
|
'online-desktop-users': { path: '/settings/online-desktop-users' },
|
||||||
'desktop-execution-tasks': { path: '/settings/desktop-execution-tasks' },
|
'desktop-execution-tasks': { path: '/settings/desktop-execution-tasks' },
|
||||||
|
|||||||
@ -1,517 +0,0 @@
|
|||||||
import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react';
|
|
||||||
import {
|
|
||||||
Alert, Button, Empty, Input, InputNumber, Popconfirm, Segmented, Select, Spin, Table, Tag, Tooltip, Upload,
|
|
||||||
message,
|
|
||||||
} from 'antd';
|
|
||||||
import {
|
|
||||||
DeleteOutlined, DownloadOutlined, InfoCircleOutlined, ReloadOutlined, SearchOutlined, UploadOutlined,
|
|
||||||
} from '@ant-design/icons';
|
|
||||||
import {
|
|
||||||
clearPickBins, exportBinReplenish, getBinReplenishList, importPickBins,
|
|
||||||
} from '../../api/binReplenish';
|
|
||||||
import { downloadBlobAsFile, readBlobErrorMessage } from '../../utils/tableExport';
|
|
||||||
import { SycmPage } from '../../components/Common';
|
|
||||||
import './style.css';
|
|
||||||
|
|
||||||
const num = (value) => (value === null || value === undefined || value === ''
|
|
||||||
? '--'
|
|
||||||
: Number(value).toLocaleString('zh-CN'));
|
|
||||||
|
|
||||||
const STATUS_TAGS = {
|
|
||||||
pickout: { color: 'red', label: '拣货位缺货' },
|
|
||||||
empty: { color: 'default', label: '无货可补' },
|
|
||||||
low: { color: 'orange', label: '拣货位偏低' },
|
|
||||||
nopick: { color: 'blue', label: '未设拣货位' },
|
|
||||||
ok: { color: 'green', label: '正常' },
|
|
||||||
};
|
|
||||||
|
|
||||||
const STATUS_OPTIONS = [
|
|
||||||
{ label: '待补货', value: 'replenish' },
|
|
||||||
{ label: '无货可补', value: 'empty' },
|
|
||||||
{ label: '未设拣货位', value: 'nopick' },
|
|
||||||
{ label: '全部', value: 'all' },
|
|
||||||
];
|
|
||||||
|
|
||||||
const DEFAULT_TARGET_DAYS = 7;
|
|
||||||
|
|
||||||
const renderBinTags = (bins = [], emptyText = '未维护', limit = 3) => {
|
|
||||||
if (!bins.length) return <span className="brp-muted">{emptyText}</span>;
|
|
||||||
const visible = bins.slice(0, limit);
|
|
||||||
const rest = bins.length - visible.length;
|
|
||||||
return (
|
|
||||||
<span className="brp-bins">
|
|
||||||
{visible.map((item) => (
|
|
||||||
<Tag key={`${item.bin}-${item.qty}`} className={`brp-bin${item.qty > 0 ? '' : ' is-zero'}`}>
|
|
||||||
{item.bin}
|
|
||||||
<b>{num(item.qty)}</b>
|
|
||||||
</Tag>
|
|
||||||
))}
|
|
||||||
{rest > 0 ? (
|
|
||||||
<Tooltip title={bins.slice(limit).map((item) => `${item.bin}（${num(item.qty)}）`).join('、')}>
|
|
||||||
<Tag className="brp-bin brp-bin--more">+{rest}</Tag>
|
|
||||||
</Tooltip>
|
|
||||||
) : null}
|
|
||||||
</span>
|
|
||||||
);
|
|
||||||
};
|
|
||||||
|
|
||||||
const BinReplenishMonitor = () => {
|
|
||||||
const [warehouse, setWarehouse] = useState('cuiqiao');
|
|
||||||
const [status, setStatus] = useState('replenish');
|
|
||||||
const [keyword, setKeyword] = useState('');
|
|
||||||
const [targetDays, setTargetDays] = useState(DEFAULT_TARGET_DAYS);
|
|
||||||
const [page, setPage] = useState(1);
|
|
||||||
const [pageSize, setPageSize] = useState(50);
|
|
||||||
|
|
||||||
const [loading, setLoading] = useState(true);
|
|
||||||
const [refreshing, setRefreshing] = useState(false);
|
|
||||||
const [error, setError] = useState('');
|
|
||||||
const [data, setData] = useState({
|
|
||||||
rows: [], total: 0, summary: {}, warehouse: null, warehouses: [], pickBinMeta: null, updatedAt: '', cacheHit: false,
|
|
||||||
});
|
|
||||||
const [importing, setImporting] = useState(false);
|
|
||||||
const keywordTimer = useRef(null);
|
|
||||||
|
|
||||||
const load = useCallback(async (options = {}) => {
|
|
||||||
const isRefresh = options.refresh === true;
|
|
||||||
if (isRefresh) setRefreshing(true);
|
|
||||||
else setLoading(true);
|
|
||||||
setError('');
|
|
||||||
try {
|
|
||||||
const response = await getBinReplenishList({
|
|
||||||
warehouse,
|
|
||||||
status,
|
|
||||||
keyword,
|
|
||||||
targetDays,
|
|
||||||
page: options.page || page,
|
|
||||||
pageSize: options.pageSize || pageSize,
|
|
||||||
refresh: isRefresh ? 'true' : undefined,
|
|
||||||
});
|
|
||||||
const payload = response?.data?.data || response?.data || {};
|
|
||||||
setData({
|
|
||||||
rows: payload.rows || [],
|
|
||||||
total: payload.total || 0,
|
|
||||||
summary: payload.summary || {},
|
|
||||||
warehouse: payload.warehouse || null,
|
|
||||||
warehouses: payload.warehouses || [],
|
|
||||||
pickBinMeta: payload.pickBinMeta || null,
|
|
||||||
updatedAt: payload.updatedAt || '',
|
|
||||||
cacheHit: Boolean(payload.cacheHit),
|
|
||||||
});
|
|
||||||
if (isRefresh) message.success('已重新回源取数');
|
|
||||||
} catch (err) {
|
|
||||||
setError(err?.message || '加载失败');
|
|
||||||
} finally {
|
|
||||||
setLoading(false);
|
|
||||||
setRefreshing(false);
|
|
||||||
}
|
|
||||||
}, [warehouse, status, keyword, targetDays, page, pageSize]);
|
|
||||||
|
|
||||||
useEffect(() => {
|
|
||||||
load();
|
|
||||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
|
||||||
}, [warehouse, status, page, pageSize, targetDays]);
|
|
||||||
|
|
||||||
useEffect(() => {
|
|
||||||
if (keywordTimer.current) clearTimeout(keywordTimer.current);
|
|
||||||
keywordTimer.current = setTimeout(() => {
|
|
||||||
setPage(1);
|
|
||||||
load({ page: 1 });
|
|
||||||
}, 400);
|
|
||||||
return () => { if (keywordTimer.current) clearTimeout(keywordTimer.current); };
|
|
||||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
|
||||||
}, [keyword]);
|
|
||||||
|
|
||||||
const summary = data.summary;
|
|
||||||
const pickBinMeta = data.pickBinMeta || {};
|
|
||||||
const usingFallback = pickBinMeta.source !== 'import';
|
|
||||||
|
|
||||||
const metrics = useMemo(() => ([
|
|
||||||
{
|
|
||||||
key: 'pickout',
|
|
||||||
tone: 'red',
|
|
||||||
label: '拣货位缺货',
|
|
||||||
value: summary.pickout || 0,
|
|
||||||
unit: '个 SKU',
|
|
||||||
foot: `可立即从存货位补 ${num(summary.suggestQtyTotal)} 件`,
|
|
||||||
tip: '拣货位库存为 0、存货位还有货：需要把存货位的库存补到拣货位',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'empty',
|
|
||||||
tone: 'grey',
|
|
||||||
label: '无货可补',
|
|
||||||
value: summary.empty || 0,
|
|
||||||
unit: '个 SKU',
|
|
||||||
foot: '拣货位与存货位都为 0，需采购',
|
|
||||||
tip: '拣货位库存为 0，且仓库里已经没有该商品的存货，补货要走走采购',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'low',
|
|
||||||
tone: 'orange',
|
|
||||||
label: '拣货位偏低',
|
|
||||||
value: summary.low || 0,
|
|
||||||
unit: '个 SKU',
|
|
||||||
foot: `低于 ${targetDays} 天销量目标`,
|
|
||||||
tip: `拣货位还有货，但低于目标库存（= 近15天日销 × ${targetDays}，最少 ${10} 件）`,
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'qty',
|
|
||||||
tone: 'blue',
|
|
||||||
label: '建议补货合计',
|
|
||||||
value: summary.suggestQtyTotal || 0,
|
|
||||||
unit: '件',
|
|
||||||
foot: `覆盖 ${num(summary.withPickSlot)} 个有拣货位的 SKU`,
|
|
||||||
tip: '建议补货量 = min(存货位库存, 目标拣货位库存 − 当前拣货位库存)',
|
|
||||||
},
|
|
||||||
]), [summary, targetDays]);
|
|
||||||
|
|
||||||
const handleExport = async () => {
|
|
||||||
try {
|
|
||||||
const response = await exportBinReplenish({ warehouse, status, keyword, targetDays });
|
|
||||||
downloadBlobAsFile(response.data, `${(data.warehouse || {}).shortName || '仓库'}缺货补货监控.xlsx`);
|
|
||||||
} catch (error_) {
|
|
||||||
const text = await readBlobErrorMessage(error_);
|
|
||||||
message.error(text || '导出失败');
|
|
||||||
}
|
|
||||||
};
|
|
||||||
|
|
||||||
const handleImport = async (file) => {
|
|
||||||
setImporting(true);
|
|
||||||
try {
|
|
||||||
const response = await importPickBins(file, warehouse);
|
|
||||||
const result = response?.data?.data || {};
|
|
||||||
message.success(`已导入 ${result.importedRows || 0} 个拣货位，正在重新取数…`);
|
|
||||||
await load({ refresh: true, page: 1 });
|
|
||||||
setPage(1);
|
|
||||||
} catch (error_) {
|
|
||||||
message.error(error_?.message || '导入失败');
|
|
||||||
} finally {
|
|
||||||
setImporting(false);
|
|
||||||
}
|
|
||||||
return false;
|
|
||||||
};
|
|
||||||
|
|
||||||
const handleClear = async () => {
|
|
||||||
try {
|
|
||||||
await clearPickBins(warehouse);
|
|
||||||
message.success('已清除货位清单，回到「货位散件记录」回退口径');
|
|
||||||
setPage(1);
|
|
||||||
await load({ refresh: true, page: 1 });
|
|
||||||
} catch (error_) {
|
|
||||||
message.error(error_?.message || '清除失败');
|
|
||||||
}
|
|
||||||
};
|
|
||||||
|
|
||||||
const columns = [
|
|
||||||
{
|
|
||||||
title: '状态',
|
|
||||||
dataIndex: 'status',
|
|
||||||
width: 112,
|
|
||||||
fixed: 'left',
|
|
||||||
render: (value) => {
|
|
||||||
const tag = STATUS_TAGS[value] || STATUS_TAGS.ok;
|
|
||||||
return <Tag color={tag.color} className="brp-status-tag">{tag.label}</Tag>;
|
|
||||||
},
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '商品编码',
|
|
||||||
dataIndex: 'skuId',
|
|
||||||
width: 175,
|
|
||||||
render: (value, row) => (
|
|
||||||
<div className="brp-sku">
|
|
||||||
<span className="brp-sku__code">{value}</span>
|
|
||||||
{row.supplier ? <span className="brp-sku__supplier">{row.supplier}</span> : null}
|
|
||||||
</div>
|
|
||||||
),
|
|
||||||
},
|
|
||||||
{ title: '品名', dataIndex: 'productName', width: 260, ellipsis: true },
|
|
||||||
{
|
|
||||||
title: '拣货位（货位号 / 数量）',
|
|
||||||
dataIndex: 'pickBins',
|
|
||||||
width: 300,
|
|
||||||
render: (bins, row) => (row.hasPickSlot ? renderBinTags(bins) : <span className="brp-muted">未维护拣货位</span>),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '拣货位库存',
|
|
||||||
dataIndex: 'pickQty',
|
|
||||||
width: 108,
|
|
||||||
align: 'right',
|
|
||||||
render: (value) => (
|
|
||||||
<span className={Number(value) <= 0 ? 'brp-qty brp-qty--zero' : 'brp-qty'}>{num(value)}</span>
|
|
||||||
),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '存货位库存',
|
|
||||||
dataIndex: 'storageQty',
|
|
||||||
width: 108,
|
|
||||||
align: 'right',
|
|
||||||
render: (value) => <span className="brp-qty">{num(value)}</span>,
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '建议补货',
|
|
||||||
dataIndex: 'suggestQty',
|
|
||||||
width: 110,
|
|
||||||
align: 'right',
|
|
||||||
render: (value) => (
|
|
||||||
<span className={Number(value) > 0 ? 'brp-qty brp-qty--suggest' : 'brp-qty brp-qty--zero'}>
|
|
||||||
{num(value)}
|
|
||||||
</span>
|
|
||||||
),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '目标拣货位',
|
|
||||||
dataIndex: 'targetQty',
|
|
||||||
width: 108,
|
|
||||||
align: 'right',
|
|
||||||
render: (value) => <span className="brp-qty brp-qty--muted">{num(value)}</span>,
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '存货位（前 5 个 / 数量）',
|
|
||||||
dataIndex: 'storageBins',
|
|
||||||
width: 300,
|
|
||||||
render: (bins) => renderBinTags(bins, '无存货', 3),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '近15天日销',
|
|
||||||
dataIndex: 'avgSale',
|
|
||||||
width: 108,
|
|
||||||
align: 'right',
|
|
||||||
render: (value) => <span className="brp-qty brp-qty--muted">{num(value)}</span>,
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '现有库存',
|
|
||||||
dataIndex: 'totalQty',
|
|
||||||
width: 100,
|
|
||||||
align: 'right',
|
|
||||||
render: (value) => <span className="brp-qty">{num(value)}</span>,
|
|
||||||
},
|
|
||||||
];
|
|
||||||
|
|
||||||
return (
|
|
||||||
<SycmPage className="brp-page">
|
|
||||||
<div className="brp-hero">
|
|
||||||
<div className="brp-hero__main">
|
|
||||||
<h1 className="brp-hero__title">缺货补货监控</h1>
|
|
||||||
<p className="brp-hero__desc">
|
|
||||||
盯的是<b>拣货位</b>：拣货位没货就拣不出来，需要从<b>存货位</b>把货补过去。
|
|
||||||
状态、建议补货量都按当前库存实时算，数据来自聚水潭「箱及仓位库存」。
|
|
||||||
</p>
|
|
||||||
</div>
|
|
||||||
<div className="brp-hero__meta">
|
|
||||||
<div>
|
|
||||||
仓库：<b>{(data.warehouse || {}).name || '简尚-崔桥工厂仓'}</b>
|
|
||||||
</div>
|
|
||||||
<div>
|
|
||||||
拣货位口径：
|
|
||||||
<b className={usingFallback ? '' : 'brp-ok'}>
|
|
||||||
{usingFallback ? '默认拣选位（Bin 且非存货位）' : `导入清单 ${num(pickBinMeta.count)} 个`}
|
|
||||||
</b>
|
|
||||||
</div>
|
|
||||||
<div>
|
|
||||||
取数时间：<b>{data.updatedAt ? new Date(data.updatedAt).toLocaleString('zh-CN') : '--'}</b>
|
|
||||||
{data.cacheHit ? <span className="brp-muted">（缓存）</span> : null}
|
|
||||||
</div>
|
|
||||||
<div>
|
|
||||||
共 <b>{num(summary.skuTotal)}</b> 个 SKU，其中未设拣货位{' '}
|
|
||||||
<b>{num(summary.nopick)}</b> 个（不参与待补货）
|
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<div className="brp-metrics">
|
|
||||||
{metrics.map((item) => (
|
|
||||||
<div key={item.key} className={`brp-metric brp-metric--${item.tone}`}>
|
|
||||||
<Tooltip title={item.tip}>
|
|
||||||
<div className="brp-metric__label">
|
|
||||||
{item.label}
|
|
||||||
<InfoCircleOutlined className="brp-metric__info" />
|
|
||||||
</div>
|
|
||||||
</Tooltip>
|
|
||||||
<div className="brp-metric__value">
|
|
||||||
{num(item.value)}
|
|
||||||
<span className="brp-metric__unit">{item.unit}</span>
|
|
||||||
</div>
|
|
||||||
<div className="brp-metric__foot">{item.foot}</div>
|
|
||||||
</div>
|
|
||||||
))}
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<div className="brp-toolbar">
|
|
||||||
<span className="brp-toolbar__field">
|
|
||||||
<span className="brp-toolbar__label">仓库</span>
|
|
||||||
<Select
|
|
||||||
value={warehouse}
|
|
||||||
onChange={(value) => { setWarehouse(value); setPage(1); }}
|
|
||||||
style={{ width: 210 }}
|
|
||||||
options={(data.warehouses || []).map((item) => ({
|
|
||||||
value: item.key,
|
|
||||||
label: item.name,
|
|
||||||
}))}
|
|
||||||
/>
|
|
||||||
</span>
|
|
||||||
<span className="brp-toolbar__field">
|
|
||||||
<span className="brp-toolbar__label">范围</span>
|
|
||||||
<Segmented
|
|
||||||
value={status}
|
|
||||||
onChange={(value) => { setStatus(value); setPage(1); }}
|
|
||||||
options={STATUS_OPTIONS.map((item) => ({
|
|
||||||
...item,
|
|
||||||
label: item.value === 'replenish'
|
|
||||||
? `${item.label} ${num((summary.pickout || 0) + (summary.low || 0))}`
|
|
||||||
: item.value === 'empty'
|
|
||||||
? `${item.label} ${num(summary.empty || 0)}`
|
|
||||||
: item.label,
|
|
||||||
}))}
|
|
||||||
/>
|
|
||||||
</span>
|
|
||||||
<span className="brp-toolbar__field">
|
|
||||||
<span className="brp-toolbar__label">目标天数（天）</span>
|
|
||||||
<InputNumber
|
|
||||||
min={1}
|
|
||||||
max={90}
|
|
||||||
value={targetDays}
|
|
||||||
onChange={(value) => { setTargetDays(Number(value) || DEFAULT_TARGET_DAYS); setPage(1); }}
|
|
||||||
style={{ width: 90 }}
|
|
||||||
/>
|
|
||||||
</span>
|
|
||||||
<Input
|
|
||||||
allowClear
|
|
||||||
value={keyword}
|
|
||||||
onChange={(event) => setKeyword(event.target.value)}
|
|
||||||
placeholder="搜商品编码 / 品名 / 供应商"
|
|
||||||
prefix={<SearchOutlined />}
|
|
||||||
style={{ width: 260 }}
|
|
||||||
/>
|
|
||||||
<span className="brp-toolbar__spacer" />
|
|
||||||
<Upload
|
|
||||||
accept=".xlsx,.xls,.csv,.txt"
|
|
||||||
showUploadList={false}
|
|
||||||
beforeUpload={handleImport}
|
|
||||||
disabled={importing}
|
|
||||||
>
|
|
||||||
<Button icon={<UploadOutlined />} loading={importing}>导入货位清单</Button>
|
|
||||||
</Upload>
|
|
||||||
<Button icon={<DownloadOutlined />} onClick={handleExport}>导出</Button>
|
|
||||||
<Button
|
|
||||||
type="primary"
|
|
||||||
icon={<ReloadOutlined />}
|
|
||||||
loading={refreshing}
|
|
||||||
onClick={() => load({ refresh: true })}
|
|
||||||
>
|
|
||||||
刷新数据
|
|
||||||
</Button>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
{usingFallback ? (
|
|
||||||
<Alert
|
|
||||||
type="info"
|
|
||||||
showIcon
|
|
||||||
className="brp-alert"
|
|
||||||
message="拣货位口径：默认拣选位（pack_type = Bin 且非存货位），与「拣选库位动销分析」一致"
|
|
||||||
description="这是系统当前能确定的最准口径。如果业务另有一份拣货位清单，可以上传覆盖（只放货位号，如 XA01-01-11），上传后按清单判定，其余货位都算存货位。"
|
|
||||||
action={(
|
|
||||||
<Upload accept=".xlsx,.xls,.csv,.txt" showUploadList={false} beforeUpload={handleImport}>
|
|
||||||
<Button size="small" type="primary">上传清单</Button>
|
|
||||||
</Upload>
|
|
||||||
)}
|
|
||||||
/>
|
|
||||||
) : (
|
|
||||||
<Alert
|
|
||||||
type="success"
|
|
||||||
showIcon
|
|
||||||
className="brp-alert"
|
|
||||||
message={`拣货位口径：导入清单（${num(pickBinMeta.count)} 个货位）`}
|
|
||||||
description={`最近导入：${pickBinMeta.lastImport?.fileName || '—'} · ${pickBinMeta.lastImport?.importedRows || 0} 个货位 · ${pickBinMeta.lastImport?.importedAt ? new Date(pickBinMeta.lastImport.importedAt).toLocaleString('zh-CN') : '—'}。清单变更后重新上传即可覆盖。`}
|
|
||||||
action={(
|
|
||||||
<Popconfirm
|
|
||||||
title="清除后回到「货位散件记录」回退口径，确定吗？"
|
|
||||||
onConfirm={handleClear}
|
|
||||||
okText="清除"
|
|
||||||
cancelText="取消"
|
|
||||||
>
|
|
||||||
<Button size="small" danger icon={<DeleteOutlined />}>清除清单</Button>
|
|
||||||
</Popconfirm>
|
|
||||||
)}
|
|
||||||
/>
|
|
||||||
)}
|
|
||||||
|
|
||||||
{error ? (
|
|
||||||
<Alert
|
|
||||||
type="error"
|
|
||||||
showIcon
|
|
||||||
className="brp-alert"
|
|
||||||
message={error}
|
|
||||||
action={<Button size="small" onClick={() => load()}>重试</Button>}
|
|
||||||
/>
|
|
||||||
) : null}
|
|
||||||
|
|
||||||
<Spin
|
|
||||||
spinning={loading}
|
|
||||||
tip="正在从仓位库存视图聚合，首次约 30~60 秒"
|
|
||||||
wrapperClassName="brp-table-spin"
|
|
||||||
>
|
|
||||||
<Table
|
|
||||||
rowKey="skuId"
|
|
||||||
size="small"
|
|
||||||
className="brp-table"
|
|
||||||
columns={columns}
|
|
||||||
dataSource={data.rows}
|
|
||||||
scroll={{ x: 1900 }}
|
|
||||||
locale={{
|
|
||||||
emptyText: (
|
|
||||||
<Empty
|
|
||||||
description={status === 'replenish'
|
|
||||||
? '当前没有需要补货的拣货位'
|
|
||||||
: '没有符合条件的商品'}
|
|
||||||
/>
|
|
||||||
),
|
|
||||||
}}
|
|
||||||
pagination={{
|
|
||||||
current: page,
|
|
||||||
pageSize,
|
|
||||||
total: data.total,
|
|
||||||
showSizeChanger: true,
|
|
||||||
pageSizeOptions: ['20', '50', '100', '200'],
|
|
||||||
showTotal: (total) => `共 ${total} 个 SKU`,
|
|
||||||
onChange: (nextPage, nextSize) => {
|
|
||||||
setPage(nextPage);
|
|
||||||
setPageSize(nextSize);
|
|
||||||
},
|
|
||||||
}}
|
|
||||||
/>
|
|
||||||
</Spin>
|
|
||||||
|
|
||||||
<div className="brp-notes">
|
|
||||||
<div className="brp-notes__title">数据来源与口径说明</div>
|
|
||||||
<ul>
|
|
||||||
<li>
|
|
||||||
<b>库存</b>：聚水潭「箱及仓位库存」（rpt.jst_packInventoryInfo），按商品编码 + 货位汇总。
|
|
||||||
「拣货位库存」= 拣货位上的数量合计；「存货位库存」= 其余货位（含整箱、未分箱）的数量合计。
|
|
||||||
</li>
|
|
||||||
<li>
|
|
||||||
<b>拣货位</b>：副本没有货位类型字段，按导入的货位清单判定；未导入时回退为
|
|
||||||
pack_type = Bin 的记录（页面顶部会标出当前口径）。
|
|
||||||
</li>
|
|
||||||
<li>
|
|
||||||
<b>目标库存</b>：max(10, 近15天日销 × {targetDays})；日销取 rpt.pm_stockMonitor 同仓最新快照的
|
|
||||||
fifteenAvgSale，取不到的按 10 件兜底。
|
|
||||||
</li>
|
|
||||||
<li>
|
|
||||||
<b>建议补货量</b>：min(存货位库存, 目标拣货位库存 − 当前拣货位库存)，只在「拣货位缺货 / 偏低」时给数字；
|
|
||||||
「无货可补」表示拣货位和存货位都没货，要走走采购，不是仓库内部调拨。
|
|
||||||
</li>
|
|
||||||
<li>
|
|
||||||
<b>未设拣货位</b>：该 SKU 在拣货位清单里一个货位都没有（多为整箱直发、或还没维护拣货位）。
|
|
||||||
这类不算「拣货位缺货」，不进待补货清单，可在「未设拣货位」页签单独核对。
|
|
||||||
</li>
|
|
||||||
<li>
|
|
||||||
<b>时效</b>：仓位库存视图单次聚合约 35~45 秒，服务端缓存 10 分钟（启动时已预热）；
|
|
||||||
点「刷新数据」会强制回源，需要等半分钟左右。
|
|
||||||
</li>
|
|
||||||
</ul>
|
|
||||||
</div>
|
|
||||||
</SycmPage>
|
|
||||||
);
|
|
||||||
};
|
|
||||||
|
|
||||||
export default BinReplenishMonitor;
|
|
||||||
@ -1,303 +0,0 @@
|
|||||||
/* 缺货补货监控 —— 页头 / 指标卡 / 工具栏 / 明细表 */
|
|
||||||
|
|
||||||
.brp-page {
|
|
||||||
--brp-gap: 12px;
|
|
||||||
--brp-border: var(--sycm-border-card, #e6e6e6);
|
|
||||||
--brp-radius: var(--sycm-radius-xl, 12px);
|
|
||||||
--brp-shadow: var(--sycm-shadow-card, 0 1px 3px rgba(0, 0, 0, 0.035));
|
|
||||||
--brp-blue: #2062e6;
|
|
||||||
--brp-red: #e5484d;
|
|
||||||
--brp-orange: #e8890c;
|
|
||||||
--brp-grey: #6b7280;
|
|
||||||
--brp-green: #1bb574;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ── 页头 ───────────────────────────────────────────────── */
|
|
||||||
.brp-hero {
|
|
||||||
display: flex;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
align-items: flex-end;
|
|
||||||
justify-content: space-between;
|
|
||||||
gap: 12px 24px;
|
|
||||||
margin-bottom: var(--brp-gap);
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-hero__main {
|
|
||||||
min-width: 320px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-hero__title {
|
|
||||||
margin: 0;
|
|
||||||
color: var(--sycm-text-strong, #262626);
|
|
||||||
font-size: 20px;
|
|
||||||
font-weight: 600;
|
|
||||||
line-height: 1.3;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-hero__desc {
|
|
||||||
margin: 4px 0 0;
|
|
||||||
max-width: 820px;
|
|
||||||
color: var(--sycm-text-secondary, #595959);
|
|
||||||
font-size: 12px;
|
|
||||||
line-height: 1.6;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-hero__meta {
|
|
||||||
display: grid;
|
|
||||||
gap: 3px;
|
|
||||||
color: var(--sycm-text-secondary, #595959);
|
|
||||||
font-size: 12px;
|
|
||||||
line-height: 1.6;
|
|
||||||
text-align: right;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-warn {
|
|
||||||
color: var(--brp-orange);
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-ok {
|
|
||||||
color: var(--brp-green);
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ── 指标卡 ─────────────────────────────────────────────── */
|
|
||||||
.brp-metrics {
|
|
||||||
display: grid;
|
|
||||||
grid-template-columns: repeat(4, minmax(0, 1fr));
|
|
||||||
gap: var(--brp-gap);
|
|
||||||
margin-bottom: var(--brp-gap);
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-metric {
|
|
||||||
position: relative;
|
|
||||||
overflow: hidden;
|
|
||||||
padding: 12px 14px 11px;
|
|
||||||
border: 1px solid var(--brp-border);
|
|
||||||
border-radius: var(--brp-radius);
|
|
||||||
background: var(--sycm-bg-container, #fff);
|
|
||||||
box-shadow: var(--brp-shadow);
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-metric::before {
|
|
||||||
content: '';
|
|
||||||
position: absolute;
|
|
||||||
top: 0;
|
|
||||||
bottom: 0;
|
|
||||||
left: 0;
|
|
||||||
width: 3px;
|
|
||||||
background: var(--brp-tone, var(--brp-blue));
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-metric--red { --brp-tone: var(--brp-red); }
|
|
||||||
.brp-metric--orange { --brp-tone: var(--brp-orange); }
|
|
||||||
.brp-metric--blue { --brp-tone: var(--brp-blue); }
|
|
||||||
.brp-metric--grey { --brp-tone: var(--brp-grey); }
|
|
||||||
|
|
||||||
.brp-metric__label {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
gap: 4px;
|
|
||||||
color: var(--sycm-text-tertiary, #8c8c8c);
|
|
||||||
font-size: 12px;
|
|
||||||
cursor: help;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-metric__info {
|
|
||||||
font-size: 11px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-metric__value {
|
|
||||||
margin-top: 6px;
|
|
||||||
color: var(--sycm-text-strong, #262626);
|
|
||||||
font-size: 24px;
|
|
||||||
font-variant-numeric: tabular-nums;
|
|
||||||
font-weight: 600;
|
|
||||||
line-height: 1.15;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-metric__unit {
|
|
||||||
margin-left: 4px;
|
|
||||||
color: var(--sycm-text-tertiary, #8c8c8c);
|
|
||||||
font-size: 12px;
|
|
||||||
font-weight: 400;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-metric__foot {
|
|
||||||
margin-top: 6px;
|
|
||||||
color: var(--sycm-text-secondary, #595959);
|
|
||||||
font-size: 12px;
|
|
||||||
line-height: 1.4;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ── 工具栏 ─────────────────────────────────────────────── */
|
|
||||||
.brp-toolbar {
|
|
||||||
display: flex;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
align-items: center;
|
|
||||||
gap: 8px 12px;
|
|
||||||
margin-bottom: 10px;
|
|
||||||
padding: 10px 12px;
|
|
||||||
border: 1px solid var(--brp-border);
|
|
||||||
border-radius: var(--brp-radius);
|
|
||||||
background: var(--sycm-bg-container, #fff);
|
|
||||||
box-shadow: var(--brp-shadow);
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-toolbar__field {
|
|
||||||
display: inline-flex;
|
|
||||||
align-items: center;
|
|
||||||
gap: 6px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-toolbar__label {
|
|
||||||
color: var(--sycm-text-tertiary, #8c8c8c);
|
|
||||||
font-size: 12px;
|
|
||||||
white-space: nowrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-toolbar__spacer {
|
|
||||||
flex: 1 1 auto;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-alert {
|
|
||||||
margin-bottom: 10px;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ── 表格 ───────────────────────────────────────────────── */
|
|
||||||
.brp-table-spin {
|
|
||||||
display: block;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-table .ant-table-thead > tr > th {
|
|
||||||
background: #fafafa;
|
|
||||||
font-size: 12px;
|
|
||||||
font-weight: 600;
|
|
||||||
white-space: nowrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-table .ant-table-tbody > tr > td {
|
|
||||||
font-size: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-status-tag {
|
|
||||||
margin-inline-end: 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-sku {
|
|
||||||
display: flex;
|
|
||||||
flex-direction: column;
|
|
||||||
gap: 2px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-sku__code {
|
|
||||||
color: var(--sycm-text-strong, #262626);
|
|
||||||
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
|
|
||||||
font-size: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-sku__supplier {
|
|
||||||
overflow: hidden;
|
|
||||||
color: var(--sycm-text-tertiary, #8c8c8c);
|
|
||||||
font-size: 11px;
|
|
||||||
text-overflow: ellipsis;
|
|
||||||
white-space: nowrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-bins {
|
|
||||||
display: flex;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
gap: 4px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-bin {
|
|
||||||
margin: 0;
|
|
||||||
padding: 0 6px;
|
|
||||||
border-color: #d9e2f2;
|
|
||||||
background: #f5f8ff;
|
|
||||||
color: #2b4a80;
|
|
||||||
font-size: 11px;
|
|
||||||
line-height: 18px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-bin b {
|
|
||||||
margin-left: 4px;
|
|
||||||
font-variant-numeric: tabular-nums;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-bin.is-zero {
|
|
||||||
border-color: #f3d2d2;
|
|
||||||
background: #fff6f6;
|
|
||||||
color: #a33a3a;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-bin--more {
|
|
||||||
border-color: #eee;
|
|
||||||
background: #fafafa;
|
|
||||||
color: #8c8c8c;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-qty {
|
|
||||||
font-variant-numeric: tabular-nums;
|
|
||||||
font-weight: 500;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-qty--zero {
|
|
||||||
color: var(--brp-red);
|
|
||||||
font-weight: 600;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-qty--suggest {
|
|
||||||
color: var(--brp-blue);
|
|
||||||
font-weight: 600;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-qty--muted {
|
|
||||||
color: var(--sycm-text-tertiary, #8c8c8c);
|
|
||||||
font-weight: 400;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-muted {
|
|
||||||
color: var(--sycm-text-tertiary, #8c8c8c);
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ── 口径说明 ───────────────────────────────────────────── */
|
|
||||||
.brp-notes {
|
|
||||||
margin-top: 14px;
|
|
||||||
padding: 12px 14px;
|
|
||||||
border: 1px dashed var(--brp-border);
|
|
||||||
border-radius: var(--brp-radius);
|
|
||||||
background: var(--sycm-bg-container, #fff);
|
|
||||||
color: var(--sycm-text-secondary, #595959);
|
|
||||||
font-size: 12px;
|
|
||||||
line-height: 1.7;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-notes__title {
|
|
||||||
margin-bottom: 6px;
|
|
||||||
color: var(--sycm-text-strong, #262626);
|
|
||||||
font-weight: 600;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-notes ul {
|
|
||||||
margin: 0;
|
|
||||||
padding-left: 18px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-notes li + li {
|
|
||||||
margin-top: 4px;
|
|
||||||
}
|
|
||||||
|
|
||||||
@media (max-width: 1200px) {
|
|
||||||
.brp-metrics {
|
|
||||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
|
||||||
}
|
|
||||||
|
|
||||||
.brp-hero__meta {
|
|
||||||
text-align: left;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
@media (max-width: 640px) {
|
|
||||||
.brp-metrics {
|
|
||||||
grid-template-columns: minmax(0, 1fr);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
@ -953,7 +953,6 @@ const MkhBomData = () => {
|
|||||||
<Text type="secondary">进度为查询阶段估算，实际完成以服务端返回为准。</Text>
|
<Text type="secondary">进度为查询阶段估算，实际完成以服务端返回为准。</Text>
|
||||||
</Space>
|
</Space>
|
||||||
</Modal>
|
</Modal>
|
||||||
|
|
||||||
<header className="mkh-header">
|
<header className="mkh-header">
|
||||||
<div className="mkh-header__heading">
|
<div className="mkh-header__heading">
|
||||||
<Title level={3}>MKH-BOM 资料</Title>
|
<Title level={3}>MKH-BOM 资料</Title>
|
||||||
|
|||||||
@ -1,288 +0,0 @@
|
|||||||
import React, { useCallback, useEffect, useMemo, useState } from 'react';
|
|
||||||
import {
|
|
||||||
Alert, Button, Card, Col, Input, Modal, Row, Select, Space, Spin, Statistic, Table, Tag, Tooltip, Typography, message,
|
|
||||||
} from 'antd';
|
|
||||||
import { DownloadOutlined, InfoCircleOutlined, ReloadOutlined } from '@ant-design/icons';
|
|
||||||
import { SycmPage } from '../../components/Common';
|
|
||||||
import {
|
|
||||||
exportPickingBinSalesAnalysis,
|
|
||||||
getPickingBinSalesAnalysis,
|
|
||||||
} from '../../api/pickingBinSalesAnalysis';
|
|
||||||
import { downloadBlobAsFile, readBlobErrorMessage } from '../../utils/tableExport';
|
|
||||||
import {
|
|
||||||
PICKING_BIN_COLUMNS,
|
|
||||||
PICKING_BIN_WINDOW_OPTIONS,
|
|
||||||
PICKING_BIN_DEFAULT_DAYS,
|
|
||||||
PICKING_BIN_GRADE_COLORS,
|
|
||||||
PICKING_BIN_DESCRIPTION,
|
|
||||||
} from '../../constants/pickingBinSalesAnalysis';
|
|
||||||
import './style.css';
|
|
||||||
|
|
||||||
const { Title, Text } = Typography;
|
|
||||||
|
|
||||||
const int = (value) => {
|
|
||||||
if (value === null || value === undefined || value === '') return '—';
|
|
||||||
return Number(value).toLocaleString('zh-CN', { maximumFractionDigits: 0 });
|
|
||||||
};
|
|
||||||
|
|
||||||
const num = (value, digits = 2) => {
|
|
||||||
if (value === null || value === undefined || value === '') return '—';
|
|
||||||
return Number(value).toLocaleString('zh-CN', {
|
|
||||||
minimumFractionDigits: digits,
|
|
||||||
maximumFractionDigits: digits,
|
|
||||||
});
|
|
||||||
};
|
|
||||||
|
|
||||||
const TipTitle = ({ tip, children }) => (
|
|
||||||
<Tooltip title={tip}>
|
|
||||||
<span className="picking-bin-th-tip">{children}</span>
|
|
||||||
</Tooltip>
|
|
||||||
);
|
|
||||||
|
|
||||||
const PickingBinSalesAnalysis = () => {
|
|
||||||
const [loading, setLoading] = useState(false);
|
|
||||||
const [error, setError] = useState('');
|
|
||||||
const [data, setData] = useState(null);
|
|
||||||
const [helpOpen, setHelpOpen] = useState(false);
|
|
||||||
const [days, setDays] = useState(PICKING_BIN_DEFAULT_DAYS);
|
|
||||||
const [warehouse, setWarehouse] = useState('');
|
|
||||||
const [grades, setGrades] = useState([]);
|
|
||||||
const [keyword, setKeyword] = useState('');
|
|
||||||
const [exporting, setExporting] = useState(false);
|
|
||||||
|
|
||||||
const params = useMemo(() => ({
|
|
||||||
days,
|
|
||||||
...(warehouse ? { wmsCoId: warehouse } : {}),
|
|
||||||
}), [days, warehouse]);
|
|
||||||
|
|
||||||
const load = useCallback(async (options = {}) => {
|
|
||||||
setLoading(true);
|
|
||||||
setError('');
|
|
||||||
try {
|
|
||||||
const res = await getPickingBinSalesAnalysis({
|
|
||||||
...(options.params ?? params),
|
|
||||||
...(options.force ? { refresh: '1' } : {}),
|
|
||||||
});
|
|
||||||
setData(res?.data ?? null);
|
|
||||||
} catch (err) {
|
|
||||||
setError(err?.response?.data?.error || err?.message || '拣选库位动销分析数据加载失败');
|
|
||||||
setData(null);
|
|
||||||
} finally {
|
|
||||||
setLoading(false);
|
|
||||||
}
|
|
||||||
}, [params]);
|
|
||||||
|
|
||||||
useEffect(() => { load(); }, [load]);
|
|
||||||
|
|
||||||
const items = useMemo(() => data?.items ?? [], [data]);
|
|
||||||
const gradeMap = useMemo(() => new Map((data?.grades ?? []).map((g) => [g.key, g])), [data]);
|
|
||||||
|
|
||||||
const filteredRows = useMemo(() => {
|
|
||||||
const kw = keyword.trim().toLowerCase();
|
|
||||||
return items.filter((it) => {
|
|
||||||
if (grades.length > 0 && !grades.includes(it.gradeKey)) return false;
|
|
||||||
if (kw
|
|
||||||
&& !String(it.binName).toLowerCase().includes(kw)
|
|
||||||
&& !String(it.skuId).toLowerCase().includes(kw)) return false;
|
|
||||||
return true;
|
|
||||||
});
|
|
||||||
}, [items, grades, keyword]);
|
|
||||||
|
|
||||||
const columns = useMemo(() => PICKING_BIN_COLUMNS.map((col) => ({
|
|
||||||
title: <TipTitle tip={col.tip}>{col.label}</TipTitle>,
|
|
||||||
key: col.key,
|
|
||||||
dataIndex: col.key,
|
|
||||||
align: ['warehouse', 'binName', 'binType', 'skuId', 'gradeKey'].includes(col.key) ? 'left' : 'right',
|
|
||||||
width: col.key === 'warehouse' ? 240
|
|
||||||
: (col.key === 'gradeKey' ? 170 : (col.key === 'skuId' ? 150 : 110)),
|
|
||||||
sorter: ['stockQty', 'salesQty', 'dailySales'].includes(col.key)
|
|
||||||
? (a, b) => (a[col.key] ?? 0) - (b[col.key] ?? 0)
|
|
||||||
: undefined,
|
|
||||||
render: (value) => {
|
|
||||||
if (col.key === 'gradeKey') {
|
|
||||||
const g = gradeMap.get(value);
|
|
||||||
return <Tag color={PICKING_BIN_GRADE_COLORS[value] || 'default'}>{g?.label || value}</Tag>;
|
|
||||||
}
|
|
||||||
if (col.key === 'binType' || col.key === 'skuId') return <Text>{value || '—'}</Text>;
|
|
||||||
if (col.key === 'dailySales') return num(value, 2);
|
|
||||||
if (col.key === 'salesQty') return num(value, 2);
|
|
||||||
if (col.key === 'stockQty') return int(value);
|
|
||||||
return value || '—';
|
|
||||||
},
|
|
||||||
})), [gradeMap]);
|
|
||||||
|
|
||||||
const handleExport = useCallback(async () => {
|
|
||||||
setExporting(true);
|
|
||||||
try {
|
|
||||||
const blob = await exportPickingBinSalesAnalysis({
|
|
||||||
...params,
|
|
||||||
...(grades.length > 0 ? { grade: grades.join(',') } : {}),
|
|
||||||
format: 'xlsx',
|
|
||||||
});
|
|
||||||
const dateKey = (data?.latestBizDate || '').replace(/-/g, '') || '未知日期';
|
|
||||||
const fileName = `拣选库位动销分析-${dateKey}.xlsx`;
|
|
||||||
await downloadBlobAsFile(blob, fileName);
|
|
||||||
message.success(`已开始下载：${fileName}`);
|
|
||||||
} catch (exportError) {
|
|
||||||
message.error(await readBlobErrorMessage(exportError, '库位动销明细导出失败'));
|
|
||||||
} finally {
|
|
||||||
setExporting(false);
|
|
||||||
}
|
|
||||||
}, [params, grades, data?.latestBizDate]);
|
|
||||||
|
|
||||||
const toggleGrade = useCallback((key) => {
|
|
||||||
setGrades((prev) => (prev.includes(key) ? prev.filter((k) => k !== key) : [...prev, key]));
|
|
||||||
}, []);
|
|
||||||
|
|
||||||
const summary = data?.summary ?? [];
|
|
||||||
const total = data?.total ?? null;
|
|
||||||
|
|
||||||
return (
|
|
||||||
<SycmPage className="picking-bin-page">
|
|
||||||
<div className="picking-bin-header">
|
|
||||||
<div className="picking-bin-header__title">
|
|
||||||
<Title level={4} style={{ margin: 0 }}>拣选库位动销分析</Title>
|
|
||||||
<Button
|
|
||||||
type="text"
|
|
||||||
icon={<InfoCircleOutlined />}
|
|
||||||
onClick={() => setHelpOpen(true)}
|
|
||||||
className="picking-bin-header__help"
|
|
||||||
>
|
|
||||||
口径说明
|
|
||||||
</Button>
|
|
||||||
</div>
|
|
||||||
<div className="picking-bin-header__meta">
|
|
||||||
<span>统计基准日：{data?.latestBizDate || '—'}</span>
|
|
||||||
{data?.shipWindow ? (
|
|
||||||
<span>销量窗口：{data.shipWindow.shipFrom} ~ {data.shipWindow.shipTo}（近 {data.shipWindow.days} 天）</span>
|
|
||||||
) : null}
|
|
||||||
{data?.takenAt ? (
|
|
||||||
<span>仓位数据时间：{new Date(data.takenAt).toLocaleString('zh-CN', { hour12: false })}</span>
|
|
||||||
) : null}
|
|
||||||
</div>
|
|
||||||
<Space wrap>
|
|
||||||
<Space size={4}>
|
|
||||||
<Text type="secondary">统计天数</Text>
|
|
||||||
<Select
|
|
||||||
value={days}
|
|
||||||
options={PICKING_BIN_WINDOW_OPTIONS}
|
|
||||||
onChange={setDays}
|
|
||||||
style={{ width: 110 }}
|
|
||||||
/>
|
|
||||||
</Space>
|
|
||||||
<Select
|
|
||||||
allowClear
|
|
||||||
value={warehouse || undefined}
|
|
||||||
options={(data?.warehouses ?? []).map((w) => ({ label: w.warehouse, value: w.wmsCoId }))}
|
|
||||||
onChange={(v) => setWarehouse(v || '')}
|
|
||||||
showSearch
|
|
||||||
optionFilterProp="label"
|
|
||||||
style={{ minWidth: 240 }}
|
|
||||||
placeholder="全部仓库"
|
|
||||||
/>
|
|
||||||
<Input.Search
|
|
||||||
allowClear
|
|
||||||
value={keyword}
|
|
||||||
onChange={(e) => setKeyword(e.target.value)}
|
|
||||||
placeholder="搜索仓位 / 商品编码"
|
|
||||||
style={{ width: 180 }}
|
|
||||||
/>
|
|
||||||
<Button icon={<ReloadOutlined />} onClick={() => load()} loading={loading}>刷新</Button>
|
|
||||||
<Tooltip title="跳过 5 分钟缓存，重新扫描订单与仓位明细重算（约 5~20 秒）">
|
|
||||||
<Button onClick={() => load({ force: true })} loading={loading}>强制重算</Button>
|
|
||||||
</Tooltip>
|
|
||||||
<Tooltip title="导出当前筛选下的明细（仓库 / 仓位 / 类型 / 商品编码 / 库存数量 / 仓位SKU数 / 商品销量 / 分摊销量 / 商品日销 / 动销等级），仅含拣选位。按「仓位 × 商品编码」拆行；商品销量为整档销量（同一商品跨仓位重复，不可直接求和），需要求和请用「分摊销量」列；动销等级按商品日销判定">
|
|
||||||
<Button icon={<DownloadOutlined />} onClick={handleExport} loading={exporting}>导出明细</Button>
|
|
||||||
</Tooltip>
|
|
||||||
</Space>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<Alert
|
|
||||||
type="info"
|
|
||||||
showIcon
|
|
||||||
message={`按「商品日均销量（商品日销）」划分 ${summary.length} 个动销等级，一行 = 一个「仓位 × 商品编码」组合`}
|
|
||||||
description="商品日销 = 该商品近 N 天销量 ÷ N，不做仓位分摊，因此同一件商品放在几个仓位都是同一等级。商品销量跨仓位重复显示，不能直接按行求和（需要求和请导出用「分摊销量」列）。点击下方等级卡片可筛选。"
|
|
||||||
style={{ marginBottom: 12 }}
|
|
||||||
/>
|
|
||||||
|
|
||||||
{error ? <Alert type="error" showIcon message={error} style={{ marginBottom: 12 }} /> : null}
|
|
||||||
|
|
||||||
<Spin spinning={loading}>
|
|
||||||
<Row gutter={[8, 8]} className="picking-bin-summary">
|
|
||||||
{summary.map((s) => (
|
|
||||||
<Col key={s.key} flex="1 1 150px">
|
|
||||||
<Card
|
|
||||||
size="small"
|
|
||||||
hoverable
|
|
||||||
onClick={() => toggleGrade(s.key)}
|
|
||||||
className={grades.includes(s.key) ? 'picking-bin-card is-active' : 'picking-bin-card'}
|
|
||||||
>
|
|
||||||
<Tooltip title={`${s.tip}；明细 ${int(s.rowCount)} 行，库存合计 ${int(s.stockQty)} 件，日销合计 ${num(s.dailySales, 1)}（销量按去重商品计）`}>
|
|
||||||
<Statistic
|
|
||||||
title={s.label}
|
|
||||||
value={s.skuCount}
|
|
||||||
suffix="品"
|
|
||||||
valueStyle={{ fontSize: 18 }}
|
|
||||||
/>
|
|
||||||
</Tooltip>
|
|
||||||
<div className="picking-bin-card__meta">
|
|
||||||
明细 {int(s.rowCount)} 行 · 库存 {int(s.stockQty)} · 日销 {num(s.dailySales, 1)}
|
|
||||||
</div>
|
|
||||||
</Card>
|
|
||||||
</Col>
|
|
||||||
))}
|
|
||||||
{total ? (
|
|
||||||
<Col flex="1 1 150px">
|
|
||||||
<Card size="small" className="picking-bin-card is-total">
|
|
||||||
<Tooltip title={`去重商品 ${int(total.skuCount)} 个，涉及「仓位 × 商品」组合 ${int(total.rowCount)} 行`}>
|
|
||||||
<Statistic title={total.label} value={total.skuCount} suffix="品" valueStyle={{ fontSize: 18 }} />
|
|
||||||
</Tooltip>
|
|
||||||
<div className="picking-bin-card__meta">
|
|
||||||
明细 {int(total.rowCount)} 行 · 库存 {int(total.stockQty)} · 日销 {num(total.dailySales, 1)}
|
|
||||||
</div>
|
|
||||||
</Card>
|
|
||||||
</Col>
|
|
||||||
) : null}
|
|
||||||
</Row>
|
|
||||||
|
|
||||||
<Table
|
|
||||||
className="picking-bin-table"
|
|
||||||
columns={columns}
|
|
||||||
dataSource={filteredRows}
|
|
||||||
rowKey={(r) => `${r.wmsCoId}::${r.binName}::${r.skuId}`}
|
|
||||||
size="small"
|
|
||||||
bordered
|
|
||||||
pagination={{
|
|
||||||
pageSize: 50,
|
|
||||||
showSizeChanger: true,
|
|
||||||
pageSizeOptions: [50, 100, 200],
|
|
||||||
showTotal: (t) => `共 ${t} 条明细`,
|
|
||||||
}}
|
|
||||||
scroll={{ x: 'max-content', y: 'calc(100vh - 420px)' }}
|
|
||||||
/>
|
|
||||||
</Spin>
|
|
||||||
|
|
||||||
<Text type="secondary" className="picking-bin-footer">
|
|
||||||
当前筛选出 {filteredRows.length} 条明细
|
|
||||||
{items.length !== filteredRows.length ? `（共 ${items.length} 条）` : ''}；
|
|
||||||
去重商品 {int(data?.total?.skuCount ?? 0)} 个；统计范围：仅拣选位。
|
|
||||||
</Text>
|
|
||||||
|
|
||||||
<Modal
|
|
||||||
title="计算口径说明"
|
|
||||||
open={helpOpen}
|
|
||||||
onCancel={() => setHelpOpen(false)}
|
|
||||||
footer={null}
|
|
||||||
width={760}
|
|
||||||
>
|
|
||||||
<div className="picking-bin-help">
|
|
||||||
{PICKING_BIN_DESCRIPTION.map((line, i) => (
|
|
||||||
<p key={i} className={line.startsWith(' ') ? 'is-indent' : ''}>{line}</p>
|
|
||||||
))}
|
|
||||||
</div>
|
|
||||||
</Modal>
|
|
||||||
</SycmPage>
|
|
||||||
);
|
|
||||||
};
|
|
||||||
|
|
||||||
export default PickingBinSalesAnalysis;
|
|
||||||
@ -1,95 +0,0 @@
|
|||||||
.picking-bin-page {
|
|
||||||
padding: 16px 20px 24px;
|
|
||||||
display: flex;
|
|
||||||
flex-direction: column;
|
|
||||||
gap: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-header {
|
|
||||||
display: flex;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
align-items: center;
|
|
||||||
justify-content: space-between;
|
|
||||||
gap: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-header__title {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
gap: 4px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-header__help {
|
|
||||||
font-size: 13px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-header__meta {
|
|
||||||
display: flex;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
gap: 16px;
|
|
||||||
font-size: 13px;
|
|
||||||
color: rgba(0, 0, 0, 0.55);
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-th-tip {
|
|
||||||
border-bottom: 1px dashed rgba(0, 0, 0, 0.35);
|
|
||||||
cursor: help;
|
|
||||||
white-space: nowrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-summary {
|
|
||||||
margin-bottom: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-card .ant-statistic-title {
|
|
||||||
font-size: 12px;
|
|
||||||
white-space: nowrap;
|
|
||||||
overflow: hidden;
|
|
||||||
text-overflow: ellipsis;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-card.is-active {
|
|
||||||
border-color: #1677ff;
|
|
||||||
box-shadow: 0 0 0 2px rgba(22, 119, 255, 0.12);
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-card.is-total {
|
|
||||||
background: rgba(22, 119, 255, 0.06);
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-card__meta {
|
|
||||||
margin-top: 4px;
|
|
||||||
font-size: 12px;
|
|
||||||
color: rgba(0, 0, 0, 0.55);
|
|
||||||
white-space: nowrap;
|
|
||||||
overflow: hidden;
|
|
||||||
text-overflow: ellipsis;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-table .ant-table-thead > tr > th {
|
|
||||||
white-space: nowrap;
|
|
||||||
font-size: 12px;
|
|
||||||
padding: 6px 8px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-table .ant-table-tbody > tr > td {
|
|
||||||
padding: 5px 8px;
|
|
||||||
font-size: 13px;
|
|
||||||
vertical-align: middle;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-footer {
|
|
||||||
font-size: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-help p {
|
|
||||||
margin: 0 0 6px;
|
|
||||||
line-height: 1.7;
|
|
||||||
font-size: 13px;
|
|
||||||
white-space: pre-wrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.picking-bin-help p.is-indent {
|
|
||||||
padding-left: 16px;
|
|
||||||
color: rgba(0, 0, 0, 0.65);
|
|
||||||
}
|
|
||||||
@ -71,25 +71,6 @@ const RETURN_DEADLINE_TAGS = {
|
|||||||
};
|
};
|
||||||
const RETURN_DEADLINE_RANK = { overdue: 3, pending: 2, done: 1, none: 0 };
|
const RETURN_DEADLINE_RANK = { overdue: 3, pending: 2, done: 1, none: 0 };
|
||||||
|
|
||||||
// 供应商是否合作（后端取自简尚供应商主数据 js_supplier.coopersgn：1=合作 / 2=不合作）
|
|
||||||
const SUPPLIER_COOP_TAGS = {
|
|
||||||
cooperative: { color: 'green', label: '合作' },
|
|
||||||
ended: { color: 'red', label: '不合作' },
|
|
||||||
unknown: { color: 'default', label: '未知' },
|
|
||||||
};
|
|
||||||
const SUPPLIER_COOP_RANK = { ended: 2, cooperative: 1, unknown: 0 };
|
|
||||||
const SUPPLIER_COOP_TIPS = {
|
|
||||||
cooperative: '该商品编码的供应商在简尚供应商主数据里标记为「合作中」（js_supplier.coopersgn = 1）',
|
|
||||||
ended: '该商品编码的供应商在简尚供应商主数据里标记为「不合作」（js_supplier.coopersgn = 2），退货处理需另行商定对接人',
|
|
||||||
unknown: '供应商名在简尚供应商主数据（js_supplier）里没有匹配记录，或该编码没有供应商，无法判断合作状态',
|
|
||||||
};
|
|
||||||
|
|
||||||
// 最晚退厂时间（工作平台「供应商不合作」）—— 2026-09-28 先上线占位：
|
|
||||||
// 数据属于工作平台库 WorkbenchDataShared，副本账号目前没有该库访问权限（后端
|
|
||||||
// supplierExitDateProvider.js 有完整取证），IT 开通后自动出数，页面无需再改。
|
|
||||||
const EXIT_DATE_PENDING_TIP = '数据来源：工作平台（WorkbenchDataShared）· 供应商不合作。该库当前未授权给副本账号，待 IT 开通只读权限（或把该表同步进报表副本）后自动显示最晚退厂日期。';
|
|
||||||
const EXIT_DATE_VALUE_TIP = '工作平台「供应商不合作」给出的最晚退厂日期：该供应商放在仓里的货最后必须拉走的日期';
|
|
||||||
|
|
||||||
// 预警等级过滤：主视图改成一排状态页签（全部 / 红色预警 / 关注 / 正常 / 未知），
|
// 预警等级过滤：主视图改成一排状态页签（全部 / 红色预警 / 关注 / 正常 / 未知），
|
||||||
// 因此不再需要下拉选项；导出时仍把 warningLevel 原样传给后端（服务端 filter 同口径）。
|
// 因此不再需要下拉选项；导出时仍把 warningLevel 原样传给后端（服务端 filter 同口径）。
|
||||||
|
|
||||||
@ -367,42 +348,11 @@ const COLUMNS = [
|
|||||||
},
|
},
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
title: '供应商是否合作',
|
title: '是否出库',
|
||||||
dataIndex: 'supplierCoop',
|
dataIndex: 'isOutbound',
|
||||||
width: 136,
|
width: 90,
|
||||||
align: 'center',
|
align: 'center',
|
||||||
sorter: (a, b) => (SUPPLIER_COOP_RANK[a.supplierCoop] || 0) - (SUPPLIER_COOP_RANK[b.supplierCoop] || 0),
|
render: (value) => (value ? <Tag color="green">是</Tag> : <Tag>否</Tag>),
|
||||||
render: (value) => {
|
|
||||||
const tag = SUPPLIER_COOP_TAGS[value] || SUPPLIER_COOP_TAGS.unknown;
|
|
||||||
return (
|
|
||||||
<Tooltip title={SUPPLIER_COOP_TIPS[value] || SUPPLIER_COOP_TIPS.unknown}>
|
|
||||||
<Tag color={tag.color}>{tag.label}</Tag>
|
|
||||||
</Tooltip>
|
|
||||||
);
|
|
||||||
},
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '最晚退厂时间',
|
|
||||||
dataIndex: 'latestExitDateLabel',
|
|
||||||
width: 132,
|
|
||||||
align: 'center',
|
|
||||||
sorter: (a, b) => String(a.latestExitDateLabel || '').localeCompare(String(b.latestExitDateLabel || '')),
|
|
||||||
render: (value, record) => {
|
|
||||||
if (value) {
|
|
||||||
return (
|
|
||||||
<Tooltip title={EXIT_DATE_VALUE_TIP}>
|
|
||||||
<Tag color="orange">{value}</Tag>
|
|
||||||
</Tooltip>
|
|
||||||
);
|
|
||||||
}
|
|
||||||
// 已接入但该供应商没有退厂日期 → 显示破折号；整列未接入 → 显示「待接入」
|
|
||||||
if (record?.latestExitDateAvailable) return <span className="rsw-exit-date-empty">—</span>;
|
|
||||||
return (
|
|
||||||
<Tooltip title={EXIT_DATE_PENDING_TIP}>
|
|
||||||
<Tag color="default">待接入</Tag>
|
|
||||||
</Tooltip>
|
|
||||||
);
|
|
||||||
},
|
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
title: '创建时间来源',
|
title: '创建时间来源',
|
||||||
@ -455,8 +405,6 @@ const StockWarning = ({ warehouse }) => {
|
|||||||
rows: [], total: 0, summary: {}, warehouse: '', warehouseName: '', returnSlot: '',
|
rows: [], total: 0, summary: {}, warehouse: '', warehouseName: '', returnSlot: '',
|
||||||
warehouseHasReturnStock: true, statDate: '', stockSyncedAt: '', gaps: [], import: null,
|
warehouseHasReturnStock: true, statDate: '', stockSyncedAt: '', gaps: [], import: null,
|
||||||
hasImport: false,
|
hasImport: false,
|
||||||
// 最晚退厂时间数据源状态（工作平台库未接入时为 available:false + message）
|
|
||||||
exitDateMeta: { available: false, sourceLabel: '', message: '' },
|
|
||||||
});
|
});
|
||||||
const [loading, setLoading] = useState(false);
|
const [loading, setLoading] = useState(false);
|
||||||
const [exporting, setExporting] = useState(false);
|
const [exporting, setExporting] = useState(false);
|
||||||
@ -495,7 +443,6 @@ const StockWarning = ({ warehouse }) => {
|
|||||||
gaps: payload.gaps || [],
|
gaps: payload.gaps || [],
|
||||||
import: payload.import || null,
|
import: payload.import || null,
|
||||||
hasImport: Boolean(payload.hasImport),
|
hasImport: Boolean(payload.hasImport),
|
||||||
exitDateMeta: payload.exitDateMeta || { available: false, sourceLabel: '', message: '' },
|
|
||||||
});
|
});
|
||||||
} catch (requestError) {
|
} catch (requestError) {
|
||||||
setError(requestError?.response?.data?.error || requestError?.message || '加载客退数据监控失败');
|
setError(requestError?.response?.data?.error || requestError?.message || '加载客退数据监控失败');
|
||||||
|
|||||||
@ -648,11 +648,6 @@
|
|||||||
font-weight: 600;
|
font-weight: 600;
|
||||||
}
|
}
|
||||||
|
|
||||||
/* 表格「最晚退厂时间」列：数据源已接入但该供应商无日期时的占位符 */
|
|
||||||
.rsw-exit-date-empty {
|
|
||||||
color: var(--sycm-text-quaternary, #bfbfbf);
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ── 退货库存预警：图表区 ─────────────────────────────────── */
|
/* ── 退货库存预警：图表区 ─────────────────────────────────── */
|
||||||
.rsw-charts {
|
.rsw-charts {
|
||||||
display: grid;
|
display: grid;
|
||||||
|
|||||||
@ -209,7 +209,7 @@ const StockSalesAnalysis = () => {
|
|||||||
<Tooltip title="跳过 5 分钟缓存，重新扫描订单明细与库存明细重算（约 5~20 秒）">
|
<Tooltip title="跳过 5 分钟缓存，重新扫描订单明细与库存明细重算（约 5~20 秒）">
|
||||||
<Button onClick={() => load({ days, force: true })} loading={loading}>强制重算</Button>
|
<Button onClick={() => load({ days, force: true })} loading={loading}>强制重算</Button>
|
||||||
</Tooltip>
|
</Tooltip>
|
||||||
<Tooltip title="导出当前筛选下「销售=0」档的 SKU 明细（仓库 / SKU编码 / SKU名称 / 系统仓位 / 库存数量），跟随统计天数与仓库筛选；每个仓位独立一行，库存数量为该仓位的实际数量，仓位数据未覆盖的 SKU 保留一行（仓位留空、库存为总量）">
|
<Tooltip title="导出当前筛选下「销售=0」档的 SKU 明细（仓库 / SKU编码 / SKU名称 / 库存数量），跟随统计天数与仓库筛选">
|
||||||
<Button icon={<DownloadOutlined />} onClick={handleExportZero} loading={exporting}>导出销售=0</Button>
|
<Button icon={<DownloadOutlined />} onClick={handleExportZero} loading={exporting}>导出销售=0</Button>
|
||||||
</Tooltip>
|
</Tooltip>
|
||||||
</Space>
|
</Space>
|
||||||
|
|||||||
@ -1,966 +0,0 @@
|
|||||||
import React, { useCallback, useEffect, useMemo, useState } from 'react';
|
|
||||||
import {
|
|
||||||
Alert, Button, Card, Collapse, DatePicker, Dropdown, Empty, Input, InputNumber, Modal, Space, Spin, Statistic,
|
|
||||||
Switch, Table, Tag, TimePicker, Tooltip, Typography, message,
|
|
||||||
} from 'antd';
|
|
||||||
import { BellOutlined, DownloadOutlined, ReloadOutlined } from '@ant-design/icons';
|
|
||||||
import dayjs from 'dayjs';
|
|
||||||
import { SycmPage } from '../../components/Common';
|
|
||||||
import {
|
|
||||||
getWarehouseLogisticsExceptions,
|
|
||||||
getWarehouseLogisticsExceptionExportRows,
|
|
||||||
getWarehouseLogisticsExceptionNotifySettings,
|
|
||||||
saveWarehouseLogisticsExceptionNotifySettings,
|
|
||||||
runWarehouseLogisticsExceptionNotify,
|
|
||||||
} from '../../api/warehouseLogisticsException';
|
|
||||||
import { exportTableFile } from '../../utils/tableExport';
|
|
||||||
import './style.css';
|
|
||||||
|
|
||||||
const { Title, Text } = Typography;
|
|
||||||
|
|
||||||
// 核验点每天只有 09:00 一个，10 分钟刷一次足够；接口冷启动要 20 秒，别跟着秒级轮询跑
|
|
||||||
const AUTO_REFRESH_MS = 10 * 60 * 1000;
|
|
||||||
// 回看窗口（与后端 LOOKBACK_DAYS 对齐：今天是第 1 天，往前 29 天）
|
|
||||||
const LOOKBACK_DAYS = 30;
|
|
||||||
|
|
||||||
const number = (value, digits = 0) => (
|
|
||||||
value === null || value === undefined || value === ''
|
|
||||||
? '0'
|
|
||||||
: Number(value).toLocaleString('zh-CN', {
|
|
||||||
minimumFractionDigits: digits,
|
|
||||||
maximumFractionDigits: digits,
|
|
||||||
})
|
|
||||||
);
|
|
||||||
|
|
||||||
// 小时数 → 「32 小时」/「1 天 8 小时」
|
|
||||||
const formatHours = (hours) => {
|
|
||||||
const h = Number(hours);
|
|
||||||
if (!Number.isFinite(h)) return '—';
|
|
||||||
if (h < 0) return '核验后';
|
|
||||||
if (h < 1) return '不到 1 小时';
|
|
||||||
if (h < 24) return `${Math.round(h)} 小时`;
|
|
||||||
const d = Math.floor(h / 24);
|
|
||||||
const rest = Math.round(h % 24);
|
|
||||||
return rest ? `${d} 天 ${rest} 小时` : `${d} 天`;
|
|
||||||
};
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 明细过滤（仓 + 异常类型）。
|
|
||||||
* ⚠️ 页面表格和「导出」必须共用这一个函数 —— 否则导出的行和页面看到的对不上。
|
|
||||||
*/
|
|
||||||
const filterDetailOrders = (orders, { centerKey = '', typeKey = '' } = {}) => (
|
|
||||||
(Array.isArray(orders) ? orders : []).filter((o) => (
|
|
||||||
(!centerKey || o.centerKey === centerKey)
|
|
||||||
&& (!typeKey || o.exceptionType === typeKey)
|
|
||||||
))
|
|
||||||
);
|
|
||||||
|
|
||||||
// 导出列：标题必须是纯文本（页面列用了 Tooltip，直接复用会导出成 [object Object]）
|
|
||||||
const EXPORT_COLUMNS = [
|
|
||||||
{ title: '发货仓', dataIndex: 'warehouseName' },
|
|
||||||
{ title: '内部单号', dataIndex: 'oId' },
|
|
||||||
{ title: '线上订单号', dataIndex: 'soId' },
|
|
||||||
{ title: '店铺', dataIndex: 'shopName' },
|
|
||||||
{ title: '快递公司', dataIndex: 'carrier' },
|
|
||||||
{ title: '运单号', dataIndex: 'trackingNo', exportValue: (v) => v || '无运单号' },
|
|
||||||
{ title: '物流状态', dataIndex: 'logisticStatus', exportValue: (v) => v || '无状态' },
|
|
||||||
{ title: '异常类型', dataIndex: 'exceptionLabel' },
|
|
||||||
{ title: '异常说明', dataIndex: 'exceptionDesc' },
|
|
||||||
{ title: '发货时间', dataIndex: 'sendTime' },
|
|
||||||
{ title: '最后物流时间', dataIndex: 'lastLogisticTime', exportValue: (v) => v || '无轨迹' },
|
|
||||||
{
|
|
||||||
title: '发货后待处理（小时）',
|
|
||||||
dataIndex: 'pendingHours',
|
|
||||||
exportValue: (v) => (Number.isFinite(Number(v)) ? Math.round(Number(v) * 10) / 10 : ''),
|
|
||||||
},
|
|
||||||
{ title: '最后物流描述', dataIndex: 'lastLogisticInfo' },
|
|
||||||
];
|
|
||||||
|
|
||||||
// 导出菜单：key = `<format>`；sheet/文件名里带核验日，业务归档好找
|
|
||||||
const EXPORT_MENU_ITEMS = [
|
|
||||||
{ key: 'xlsx', label: '导出 Excel（.xlsx）' },
|
|
||||||
{ key: 'csv', label: '导出 CSV（.csv）' },
|
|
||||||
];
|
|
||||||
|
|
||||||
// 「异常通知」表单初始值。加签密钥永远不回显明文：留空 = 沿用服务端已存的那份
|
|
||||||
const EMPTY_NOTIFY_FORM = {
|
|
||||||
enabled: false,
|
|
||||||
sendTime: '09:10',
|
|
||||||
webhookUrl: '',
|
|
||||||
webhookSecret: '',
|
|
||||||
maxDetailRows: 30,
|
|
||||||
atAll: false,
|
|
||||||
pageUrl: '',
|
|
||||||
};
|
|
||||||
|
|
||||||
// 后端「没推」的原因 → 人话（后端 reason 是给日志用的英文标识）
|
|
||||||
const NOTIFY_REASON_TEXT = {
|
|
||||||
disabled: '推送开关没打开',
|
|
||||||
not_configured: 'Webhook 地址还没填',
|
|
||||||
already_sent_today: '今天已经推过了（一天只推一次）',
|
|
||||||
not_started: '这一批还没到核验时刻，没有结论可推',
|
|
||||||
dry_run: '仅预览，未发送',
|
|
||||||
};
|
|
||||||
|
|
||||||
// 钉钉群机器人 webhook 怎么拿 —— 业务自己配，写清楚省得来问
|
|
||||||
const NOTIFY_HELP_ITEMS = [
|
|
||||||
{
|
|
||||||
key: 'webhook',
|
|
||||||
label: '① 拿群机器人 Webhook 地址',
|
|
||||||
children: (
|
|
||||||
<div className="wle-notify__help">
|
|
||||||
电脑版钉钉 → 打开目标群 → 右上角 <b>群设置</b> → <b>机器人</b> → <b>添加机器人</b> →
|
|
||||||
选 <b>自定义</b> → 起个名字（如「物流异常通知」）→ 复制 <b>Webhook 地址</b>。
|
|
||||||
<br />
|
|
||||||
地址形如 <code>https://oapi.dingtalk.com/robot/send?access_token=xxxx</code>，
|
|
||||||
整串（含 access_token）直接贴到下面。
|
|
||||||
</div>
|
|
||||||
),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'security',
|
|
||||||
label: '② 安全设置：加签密钥（可选）',
|
|
||||||
children: (
|
|
||||||
<div className="wle-notify__help">
|
|
||||||
添加机器人时如果安全设置选了 <b>加签</b>，把以 <code>SEC</code> 开头的密钥填到「加签密钥」里。
|
|
||||||
<br />
|
|
||||||
如果选的是 <b>自定义关键词</b>，密钥留空即可 —— 但关键词必须包含 <b>异常</b>
|
|
||||||
（本模块消息抬头固定是「【仓储物流转运异常】」，天然命中）。
|
|
||||||
<br />
|
|
||||||
如果选的是 <b>IP 地址（段）</b>，需要把生产服务器 IP 加进白名单，密钥同样留空。
|
|
||||||
</div>
|
|
||||||
),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
key: 'why',
|
|
||||||
label: '③ 为什么群里只有文字，没有 Excel 附件',
|
|
||||||
children: (
|
|
||||||
<div className="wle-notify__help">
|
|
||||||
钉钉的<b>自定义机器人 webhook</b> 只支持 text / markdown / link / actionCard，
|
|
||||||
<b>不支持发文件</b>。所以这里推的是<b>文本消息</b>：汇总数字 + 前 N 条明细 + 页面链接。
|
|
||||||
<br />
|
|
||||||
要全量明细或 Excel，点消息末尾的链接进页面，用右上角「导出」按钮导出即可
|
|
||||||
（口径与消息完全一致）。
|
|
||||||
</div>
|
|
||||||
),
|
|
||||||
},
|
|
||||||
];
|
|
||||||
|
|
||||||
const DETAIL_COLUMNS = [
|
|
||||||
{
|
|
||||||
title: '发货仓',
|
|
||||||
dataIndex: 'warehouseName',
|
|
||||||
width: 190,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v) => v || '—',
|
|
||||||
},
|
|
||||||
{ title: '内部单号', dataIndex: 'oId', width: 96 },
|
|
||||||
{
|
|
||||||
title: '线上订单号',
|
|
||||||
dataIndex: 'soId',
|
|
||||||
width: 178,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v) => (v ? <span className="wle-detail__soid">{v}</span> : '—'),
|
|
||||||
},
|
|
||||||
{ title: '店铺', dataIndex: 'shopName', width: 150, ellipsis: true, render: (v) => v || '—' },
|
|
||||||
{ title: '快递公司', dataIndex: 'carrier', width: 130, ellipsis: true, render: (v) => v || '—' },
|
|
||||||
{
|
|
||||||
title: (
|
|
||||||
<Tooltip title="聚水潭回传的运单号。空的说明仓库已推单但快递没建单">
|
|
||||||
<span>运单号</span>
|
|
||||||
</Tooltip>
|
|
||||||
),
|
|
||||||
dataIndex: 'trackingNo',
|
|
||||||
width: 150,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v) => (v ? v : <Tag bordered={false} color="red">无运单号</Tag>),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '物流状态',
|
|
||||||
dataIndex: 'logisticStatus',
|
|
||||||
width: 100,
|
|
||||||
render: (v) => (v ? <Tag bordered={false}>{v}</Tag> : <Tag bordered={false} color="red">无状态</Tag>),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: (
|
|
||||||
<Tooltip title="判定到核验时刻（当天 09:00）物流卡在哪一步；点类型图例可只看某一类">
|
|
||||||
<span>异常类型</span>
|
|
||||||
</Tooltip>
|
|
||||||
),
|
|
||||||
dataIndex: 'exceptionLabel',
|
|
||||||
width: 116,
|
|
||||||
render: (v, row) => (
|
|
||||||
<Tooltip title={row?.exceptionDesc || v}>
|
|
||||||
<Tag bordered={false} color={row?.tone || 'default'}>{v}</Tag>
|
|
||||||
</Tooltip>
|
|
||||||
),
|
|
||||||
},
|
|
||||||
{ title: '发货时间', dataIndex: 'sendTime', width: 152, ellipsis: true },
|
|
||||||
{
|
|
||||||
title: (
|
|
||||||
<Tooltip title="这条运单最后一条物流轨迹的时间。空白说明快递还没揽收、没有任何轨迹">
|
|
||||||
<span>最后物流时间</span>
|
|
||||||
</Tooltip>
|
|
||||||
),
|
|
||||||
dataIndex: 'lastLogisticTime',
|
|
||||||
width: 152,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v) => v || '—',
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: (
|
|
||||||
<Tooltip title="从发货时间到核验时刻（核验日 09:00）经过多久 —— 仓库看到「发了多久物流还没动静」">
|
|
||||||
<span>发货后待处理</span>
|
|
||||||
</Tooltip>
|
|
||||||
),
|
|
||||||
dataIndex: 'pendingHours',
|
|
||||||
width: 118,
|
|
||||||
render: (v) => <span className="wle-detail__hours">{formatHours(v)}</span>,
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '最后物流描述',
|
|
||||||
dataIndex: 'lastLogisticInfo',
|
|
||||||
width: 280,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v) => (v ? (
|
|
||||||
<Tooltip title={v}>
|
|
||||||
<span>{v}</span>
|
|
||||||
</Tooltip>
|
|
||||||
) : '—'),
|
|
||||||
},
|
|
||||||
];
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓储中心物流转运异常（独立页面）
|
|
||||||
* ────────────────────────────────────────────────────────────────
|
|
||||||
* 业务口径（yanhui 2026-10-21，二次收敛）：
|
|
||||||
* · 12 个发货仓，子仓并入主仓一起算；
|
|
||||||
* · **每天 09:00 核验前一日已发货订单的物流记录** —— 到 9 点还卡在
|
|
||||||
* 「未揽收」或「已揽收但没有下一步中转」就是转运异常，按仓归口；
|
|
||||||
* · 运输中 / 派送中 / 已签收 = 正常，不进列表；不再按「24h 无新轨迹」判停滞；
|
|
||||||
* · 刷单、信誉单、已取消/作废/拦截、指定承运商不参与考核；
|
|
||||||
* · 可回看近 30 天，但历史批次是按**当前**物流快照重算的（页面会提示）。
|
|
||||||
*
|
|
||||||
* 数据来自 /api/warehouse-logistics-exception/list（service 层见
|
|
||||||
* backend/src/services/warehouseLogisticsExceptionService.js）。
|
|
||||||
*/
|
|
||||||
function WarehouseLogisticsException() {
|
|
||||||
const [data, setData] = useState(null);
|
|
||||||
const [loading, setLoading] = useState(false);
|
|
||||||
const [error, setError] = useState('');
|
|
||||||
// 选中的仓：为空时展示全部仓
|
|
||||||
const [activeCenter, setActiveCenter] = useState('');
|
|
||||||
// 异常类型筛选：为空 = 全部
|
|
||||||
const [activeType, setActiveType] = useState('');
|
|
||||||
// 核验日；null = 交给后端按「现在几点」自动判（未到 9 点自动看昨天那批）
|
|
||||||
const [verifyDate, setVerifyDate] = useState(null);
|
|
||||||
// 导出中（导出比列表慢，按钮要转圈，避免重复点）
|
|
||||||
const [exporting, setExporting] = useState(false);
|
|
||||||
// 每天定点把异常文本推到钉钉群（「异常通知」）
|
|
||||||
const [notifyOpen, setNotifyOpen] = useState(false);
|
|
||||||
const [notifyLoading, setNotifyLoading] = useState(false);
|
|
||||||
const [notifySaving, setNotifySaving] = useState(false);
|
|
||||||
const [notifyRunning, setNotifyRunning] = useState(false);
|
|
||||||
const [notifyConfig, setNotifyConfig] = useState(null);
|
|
||||||
const [notifyForm, setNotifyForm] = useState(EMPTY_NOTIFY_FORM);
|
|
||||||
// 预览正文：放在弹窗内受控渲染（React 19 下 Modal.info 静态方法弹不出来）
|
|
||||||
const [notifyPreview, setNotifyPreview] = useState(null);
|
|
||||||
|
|
||||||
const load = useCallback(async (force = false) => {
|
|
||||||
setLoading(true);
|
|
||||||
setError('');
|
|
||||||
try {
|
|
||||||
const result = await getWarehouseLogisticsExceptions({
|
|
||||||
limit: 1000,
|
|
||||||
force: force ? 1 : 0,
|
|
||||||
date: verifyDate ? verifyDate.format('YYYY-MM-DD') : undefined,
|
|
||||||
});
|
|
||||||
if (!result || result.success === false) {
|
|
||||||
setError(result?.error || '加载物流转运异常失败');
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
setData(result.data || null);
|
|
||||||
} catch (loadError) {
|
|
||||||
setError(loadError?.response?.data?.error || loadError?.message || '加载物流转运异常失败');
|
|
||||||
} finally {
|
|
||||||
setLoading(false);
|
|
||||||
}
|
|
||||||
}, [verifyDate]);
|
|
||||||
|
|
||||||
useEffect(() => {
|
|
||||||
load();
|
|
||||||
const timer = window.setInterval(() => load(), AUTO_REFRESH_MS);
|
|
||||||
return () => window.clearInterval(timer);
|
|
||||||
}, [load]);
|
|
||||||
|
|
||||||
const centers = useMemo(() => (Array.isArray(data?.centers) ? data.centers : []), [data]);
|
|
||||||
const allOrders = useMemo(() => (Array.isArray(data?.orders) ? data.orders : []), [data]);
|
|
||||||
const types = useMemo(() => (Array.isArray(data?.types) ? data.types : []), [data]);
|
|
||||||
const summary = data?.summary || {};
|
|
||||||
const batch = data?.batch || null;
|
|
||||||
const freshness = data?.freshness || null;
|
|
||||||
// 剔除口径 + 本批实际剔除量（后端给什么就展示什么，页面不硬编码名单）
|
|
||||||
const exclusions = data?.exclusions || null;
|
|
||||||
const notStarted = Boolean(data?.notStarted);
|
|
||||||
|
|
||||||
const activeCenterName = useMemo(() => {
|
|
||||||
if (!activeCenter) return '';
|
|
||||||
const hit = centers.find((c) => c.key === activeCenter);
|
|
||||||
return hit ? hit.name : activeCenter;
|
|
||||||
}, [activeCenter, centers]);
|
|
||||||
|
|
||||||
const detailOrders = useMemo(
|
|
||||||
() => filterDetailOrders(allOrders, { centerKey: activeCenter, typeKey: activeType }),
|
|
||||||
[activeCenter, activeType, allOrders]
|
|
||||||
);
|
|
||||||
|
|
||||||
const disabledDate = (current) => (
|
|
||||||
current && (current > dayjs().endOf('day')
|
|
||||||
|| current < dayjs().startOf('day').subtract(LOOKBACK_DAYS - 1, 'day'))
|
|
||||||
);
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 导出异常明细。
|
|
||||||
* 口径要点：**按当前核验日 + 当前筛选（仓 / 异常类型）导出全部**，不是只导当前屏。
|
|
||||||
* 空表头 / 空筛选时导出的是「本批全部异常」，文件名叫「仓储物流转运异常_<核验日>」。
|
|
||||||
*/
|
|
||||||
const handleExport = async (format) => {
|
|
||||||
setExporting(true);
|
|
||||||
try {
|
|
||||||
const result = await getWarehouseLogisticsExceptionExportRows({
|
|
||||||
date: verifyDate ? verifyDate.format('YYYY-MM-DD') : undefined,
|
|
||||||
});
|
|
||||||
if (!result || result.success === false) {
|
|
||||||
message.error(result?.error || '导出失败');
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
const payload = result.data || {};
|
|
||||||
const rows = filterDetailOrders(payload.rows, {
|
|
||||||
centerKey: activeCenter,
|
|
||||||
typeKey: activeType,
|
|
||||||
});
|
|
||||||
if (!rows.length) {
|
|
||||||
message.warning('当前筛选条件下没有可导出的异常明细');
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
const typeLabel = activeType ? (types.find((t) => t.key === activeType)?.label || activeType) : '';
|
|
||||||
const scope = [activeCenterName, typeLabel].filter(Boolean).join('_');
|
|
||||||
const verifyDateText = payload.batch?.verifyDate || dayjs().format('YYYY-MM-DD');
|
|
||||||
const fileName = `仓储物流转运异常_${verifyDateText}${scope ? `_${scope}` : ''}`;
|
|
||||||
await exportTableFile(format, fileName, EXPORT_COLUMNS, rows, '转运异常明细');
|
|
||||||
const truncatedHint = payload.truncated
|
|
||||||
? `；明细超过上限 ${payload.detailLimit} 行，已截断`
|
|
||||||
: '';
|
|
||||||
message.success(`已导出 ${rows.length} 行（${String(format).toUpperCase()}）${truncatedHint}`);
|
|
||||||
} catch (exportError) {
|
|
||||||
message.error(exportError?.response?.data?.error || exportError?.message || '导出失败');
|
|
||||||
} finally {
|
|
||||||
setExporting(false);
|
|
||||||
}
|
|
||||||
};
|
|
||||||
|
|
||||||
// ── 异常通知：每天定点把异常情况以文本推到钉钉群 ──────────────────────────
|
|
||||||
|
|
||||||
// 后端只回加签密钥掩码，所以表单里的 webhookSecret 永远是空的 —— 留空 = 沿用已存的
|
|
||||||
const applyNotifyConfig = useCallback((config) => {
|
|
||||||
setNotifyConfig(config || null);
|
|
||||||
setNotifyForm({
|
|
||||||
enabled: config?.enabled === true,
|
|
||||||
sendTime: config?.sendTime || '09:10',
|
|
||||||
webhookUrl: config?.webhookUrl || '',
|
|
||||||
webhookSecret: '',
|
|
||||||
maxDetailRows: Number.isFinite(Number(config?.maxDetailRows))
|
|
||||||
? Number(config.maxDetailRows)
|
|
||||||
: 30,
|
|
||||||
atAll: config?.atAll === true,
|
|
||||||
pageUrl: config?.pageUrl || '',
|
|
||||||
});
|
|
||||||
}, []);
|
|
||||||
|
|
||||||
const openNotifySettings = useCallback(async () => {
|
|
||||||
setNotifyOpen(true);
|
|
||||||
setNotifyPreview(null);
|
|
||||||
setNotifyLoading(true);
|
|
||||||
try {
|
|
||||||
const result = await getWarehouseLogisticsExceptionNotifySettings();
|
|
||||||
if (!result || result.success === false) {
|
|
||||||
message.error(result?.error || '读取异常通知配置失败');
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
applyNotifyConfig(result.data);
|
|
||||||
} catch (loadError) {
|
|
||||||
message.error(loadError?.response?.data?.error || loadError?.message || '读取异常通知配置失败');
|
|
||||||
} finally {
|
|
||||||
setNotifyLoading(false);
|
|
||||||
}
|
|
||||||
}, [applyNotifyConfig]);
|
|
||||||
|
|
||||||
const buildNotifyPayload = useCallback(() => ({
|
|
||||||
enabled: notifyForm.enabled,
|
|
||||||
sendTime: notifyForm.sendTime,
|
|
||||||
webhookUrl: String(notifyForm.webhookUrl || '').trim(),
|
|
||||||
webhookSecret: String(notifyForm.webhookSecret || '').trim(),
|
|
||||||
maxDetailRows: Number(notifyForm.maxDetailRows) || 0,
|
|
||||||
atAll: notifyForm.atAll === true,
|
|
||||||
pageUrl: String(notifyForm.pageUrl || '').trim(),
|
|
||||||
}), [notifyForm]);
|
|
||||||
|
|
||||||
const handleSaveNotify = async ({ silent = false } = {}) => {
|
|
||||||
setNotifySaving(true);
|
|
||||||
try {
|
|
||||||
const result = await saveWarehouseLogisticsExceptionNotifySettings(buildNotifyPayload());
|
|
||||||
if (!result || result.success === false) {
|
|
||||||
message.error(result?.error || '保存异常通知配置失败');
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
applyNotifyConfig(result.data);
|
|
||||||
if (!silent) message.success('异常通知配置已保存');
|
|
||||||
return result.data;
|
|
||||||
} catch (saveError) {
|
|
||||||
message.error(saveError?.response?.data?.error || saveError?.message || '保存异常通知配置失败');
|
|
||||||
return null;
|
|
||||||
} finally {
|
|
||||||
setNotifySaving(false);
|
|
||||||
}
|
|
||||||
};
|
|
||||||
|
|
||||||
/**
|
|
||||||
* mode: 'dry' 预览正文（不发送）｜ 'probe' 只发一句通道测试 ｜ 'send' 立即推送本批
|
|
||||||
* 都要先保存：否则「改完 webhook 直接点测试」会拿旧地址发，排错时会很迷惑。
|
|
||||||
*
|
|
||||||
* ⚠️ 预览**不能**用 `Modal.info` 静态方法：本项目跑 React 19，antd v5 的静态方法
|
|
||||||
* 拿不到 ConfigProvider context（控制台只给一行 warning），弹窗**静默不渲染**。
|
|
||||||
* 所以预览改成弹窗内的受控区块（notifyPreview）。
|
|
||||||
*/
|
|
||||||
const handleRunNotify = async (mode) => {
|
|
||||||
const saved = await handleSaveNotify({ silent: true });
|
|
||||||
if (!saved) return;
|
|
||||||
setNotifyRunning(true);
|
|
||||||
try {
|
|
||||||
const payload = mode === 'dry'
|
|
||||||
? { dryRun: true, force: true }
|
|
||||||
: { probe: mode === 'probe', force: true };
|
|
||||||
const result = await runWarehouseLogisticsExceptionNotify(payload);
|
|
||||||
if (!result || result.success === false) {
|
|
||||||
message.error(result?.error || '推送到钉钉群失败');
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
const info = result.data || {};
|
|
||||||
if (mode === 'dry') {
|
|
||||||
setNotifyPreview({
|
|
||||||
text: info.text || '',
|
|
||||||
rowCount: info.rowCount ?? 0,
|
|
||||||
listedCount: info.listedCount ?? 0,
|
|
||||||
bytes: info.bytes || 0,
|
|
||||||
truncated: info.truncated === true,
|
|
||||||
batchLabel: info.batch?.label || '',
|
|
||||||
});
|
|
||||||
message.success('已生成预览（未发送），正文见下方');
|
|
||||||
} else if (mode === 'probe') {
|
|
||||||
message.success('通道测试已发出，去钉钉群看有没有收到那条测试消息');
|
|
||||||
} else if (info.sent) {
|
|
||||||
setNotifyPreview(null);
|
|
||||||
message.success(`已推送到钉钉群（${info.rowCount ?? 0} 条异常，列出 ${info.listedCount ?? 0} 条）`);
|
|
||||||
} else {
|
|
||||||
message.warning(`未推送：${NOTIFY_REASON_TEXT[info.reason] || info.reason || '未知原因'}`);
|
|
||||||
}
|
|
||||||
const latest = await getWarehouseLogisticsExceptionNotifySettings();
|
|
||||||
if (latest?.data) applyNotifyConfig(latest.data);
|
|
||||||
} catch (runError) {
|
|
||||||
message.error(runError?.response?.data?.error || runError?.message || '推送到钉钉群失败');
|
|
||||||
} finally {
|
|
||||||
setNotifyRunning(false);
|
|
||||||
}
|
|
||||||
};
|
|
||||||
|
|
||||||
const notifyTimeValue = useMemo(() => {
|
|
||||||
const [hours, minutes] = String(notifyForm.sendTime || '09:10')
|
|
||||||
.split(':')
|
|
||||||
.map((part) => Number(part) || 0);
|
|
||||||
return dayjs().hour(hours).minute(minutes).second(0);
|
|
||||||
}, [notifyForm.sendTime]);
|
|
||||||
|
|
||||||
const notifyLastState = notifyConfig?.lastState || {};
|
|
||||||
|
|
||||||
return (
|
|
||||||
<SycmPage className="wle-page">
|
|
||||||
<header className="wle-header">
|
|
||||||
<Title level={3}>仓储中心物流转运异常</Title>
|
|
||||||
<Text type="secondary" className="wle-note">
|
|
||||||
<b>每天 09:00 核验 12 个发货仓「前一日已发货」订单的物流记录</b>，只看异常，正常签收的不列。
|
|
||||||
核验批次 = <b>核验日 09:00</b> + <b>前一天发货的单</b>。
|
|
||||||
到核验时刻物流还卡在<b>揽收前</b>就算转运异常，分五类：
|
|
||||||
<b>未揽收</b>（发了货快递没来揽）、<b>已揽收未中转</b>（揽了但没下一步中转，卡在网点）、
|
|
||||||
<b>无物流单</b>（连运单号都没建）、<b>快递报异常</b>（如寄件人取消寄件、异常签收）、
|
|
||||||
<b>退回</b>（拒收 / 换单退回）。
|
|
||||||
<b>运输中、派送中、已签收 = 正常，不进列表</b> —— 有「运输」字样之后的中转记录不回传，不作考核。
|
|
||||||
一单多包裹按包裹列明细、按内部单号统计，异常率不会被多包裹单放大。
|
|
||||||
<b>不参与考核</b>：顺丰系全部（唯品顺丰 / 顺丰干配 / 顺丰大件各账号）、武进安能、中铁、壹米滴答、
|
|
||||||
京喜京东（快递·快运）、自提、线下、商家配送
|
|
||||||
（轨迹不回传或本身无快递轨迹）；
|
|
||||||
<b>睢宁中通</b> 只在睢宁仓考核，其它仓异地打单的剔出；
|
|
||||||
<b>已取消 / 作废 / 拦截</b>的订单（单据已终止）、<b>刷单 / 信誉单</b>（本身不是真实发货）。
|
|
||||||
<b>历史批次是按当前物流快照回算的</b> —— 昨天是异常、今天已签收的单会显示成正常，
|
|
||||||
要留档结论请以当天 09:00 看到的为准。
|
|
||||||
</Text>
|
|
||||||
</header>
|
|
||||||
|
|
||||||
<Card className="wle-status" bordered={false}>
|
|
||||||
<div className="wle-status__row">
|
|
||||||
<div className="wle-status__batch">
|
|
||||||
{notStarted ? (
|
|
||||||
<>
|
|
||||||
<span className="wle-status__badge wle-status__badge--idle">未到核验时间</span>
|
|
||||||
<span className="wle-status__label">
|
|
||||||
{String(batch?.deadline || '').slice(5, 16)} 才开始核验
|
|
||||||
</span>
|
|
||||||
</>
|
|
||||||
) : (
|
|
||||||
<>
|
|
||||||
<span className="wle-status__badge">{batch?.label || '—'}</span>
|
|
||||||
<span className="wle-status__label">
|
|
||||||
核验 {batch?.shipDate || '—'} 已发货订单的物流记录
|
|
||||||
</span>
|
|
||||||
{batch?.lookback ? (
|
|
||||||
<span className="wle-status__window">历史批次 · 按当前快照回算</span>
|
|
||||||
) : null}
|
|
||||||
</>
|
|
||||||
)}
|
|
||||||
</div>
|
|
||||||
<Space size={8} wrap>
|
|
||||||
<DatePicker
|
|
||||||
value={verifyDate || (batch?.verifyDate ? dayjs(batch.verifyDate) : null)}
|
|
||||||
disabledDate={disabledDate}
|
|
||||||
onChange={(value) => setVerifyDate(value ? value.startOf('day') : null)}
|
|
||||||
style={{ width: 148 }}
|
|
||||||
placeholder="核验日"
|
|
||||||
/>
|
|
||||||
{data?.generatedAt ? (
|
|
||||||
<Text type="secondary" className="wle-status__time">
|
|
||||||
数据更新于 {String(data.generatedAt).slice(11, 19)}
|
|
||||||
{data?.cached ? `（缓存 ${data.cacheAgeSec || 0}s）` : ''}
|
|
||||||
</Text>
|
|
||||||
) : null}
|
|
||||||
<Button icon={<ReloadOutlined />} onClick={() => load(true)} loading={loading}>刷新</Button>
|
|
||||||
<Dropdown
|
|
||||||
trigger={['click']}
|
|
||||||
disabled={exporting || notStarted}
|
|
||||||
menu={{ items: EXPORT_MENU_ITEMS, onClick: ({ key }) => handleExport(key) }}
|
|
||||||
>
|
|
||||||
<Button icon={<DownloadOutlined />} loading={exporting}>导出</Button>
|
|
||||||
</Dropdown>
|
|
||||||
<Button icon={<BellOutlined />} onClick={openNotifySettings}>异常通知</Button>
|
|
||||||
</Space>
|
|
||||||
</div>
|
|
||||||
</Card>
|
|
||||||
|
|
||||||
{error ? (
|
|
||||||
<Alert
|
|
||||||
type="error"
|
|
||||||
showIcon
|
|
||||||
className="wle-alert"
|
|
||||||
message={error}
|
|
||||||
action={<Button size="small" onClick={() => load(true)}>重试</Button>}
|
|
||||||
/>
|
|
||||||
) : null}
|
|
||||||
|
|
||||||
{freshness && (freshness.coversDeadline === false || freshness.stale) ? (
|
|
||||||
<Alert
|
|
||||||
type={freshness.coversDeadline === false ? 'error' : 'warning'}
|
|
||||||
showIcon
|
|
||||||
className="wle-alert"
|
|
||||||
message={freshness.coversDeadline === false
|
|
||||||
? '物流快照未覆盖本轮核验时刻，异常量偏大'
|
|
||||||
: '物流数据可能滞后'}
|
|
||||||
description={freshness.hint}
|
|
||||||
/>
|
|
||||||
) : null}
|
|
||||||
|
|
||||||
<div className="wle-stats">
|
|
||||||
<Card bordered={false} className="wle-stat">
|
|
||||||
<Statistic
|
|
||||||
title={(
|
|
||||||
<Tooltip title="核验日的前一天，12 个发货仓发出的订单总数（按内部单号去重）">
|
|
||||||
<span>前一日发货</span>
|
|
||||||
</Tooltip>
|
|
||||||
)}
|
|
||||||
value={notStarted ? 0 : (summary.shippedOrders ?? 0)}
|
|
||||||
suffix="单"
|
|
||||||
formatter={(v) => (notStarted ? '—' : number(v))}
|
|
||||||
/>
|
|
||||||
<Text type="secondary" className="wle-stat__sub">
|
|
||||||
共 {notStarted ? '—' : number(summary.packageCount)} 个包裹
|
|
||||||
</Text>
|
|
||||||
</Card>
|
|
||||||
<Card bordered={false} className="wle-stat">
|
|
||||||
<Statistic
|
|
||||||
title={(
|
|
||||||
<Tooltip title="到 09:00 核验时刻物流仍不正常的订单（按内部单号去重）">
|
|
||||||
<span>转运异常</span>
|
|
||||||
</Tooltip>
|
|
||||||
)}
|
|
||||||
value={notStarted ? 0 : (summary.exceptionOrders ?? 0)}
|
|
||||||
suffix="单"
|
|
||||||
formatter={(v) => (notStarted ? '—' : number(v))}
|
|
||||||
valueStyle={{ color: (summary.exceptionOrders || 0) > 0 ? '#cf1322' : undefined }}
|
|
||||||
/>
|
|
||||||
<Text type="secondary" className="wle-stat__sub">
|
|
||||||
涉及 {notStarted ? '—' : number(summary.exceptionPackages)} 个包裹
|
|
||||||
</Text>
|
|
||||||
</Card>
|
|
||||||
<Card bordered={false} className="wle-stat">
|
|
||||||
<Statistic
|
|
||||||
title="异常率"
|
|
||||||
value={notStarted ? 0 : (summary.exceptionRate ?? 0)}
|
|
||||||
suffix="%"
|
|
||||||
formatter={(v) => (notStarted ? '—' : number(v, 1))}
|
|
||||||
valueStyle={{ color: (summary.exceptionRate || 0) >= 10 ? '#d46b08' : undefined }}
|
|
||||||
/>
|
|
||||||
<Text type="secondary" className="wle-stat__sub">
|
|
||||||
异常单 ÷ 前一日发货单
|
|
||||||
</Text>
|
|
||||||
</Card>
|
|
||||||
<Card bordered={false} className="wle-stat">
|
|
||||||
<Statistic
|
|
||||||
title="涉及仓库"
|
|
||||||
value={notStarted ? 0 : (summary.centerCount ?? 0)}
|
|
||||||
suffix={`/ ${centers.length || 12}`}
|
|
||||||
formatter={(v) => (notStarted ? '—' : number(v))}
|
|
||||||
/>
|
|
||||||
<Text type="secondary" className="wle-stat__sub">
|
|
||||||
有转运异常的仓
|
|
||||||
</Text>
|
|
||||||
</Card>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
{types.length ? (
|
|
||||||
<div className="wle-types">
|
|
||||||
{types.map((t) => {
|
|
||||||
const count = summary.byType?.[t.key] || 0;
|
|
||||||
const isActive = activeType === t.key;
|
|
||||||
return (
|
|
||||||
<Tooltip key={t.key} title={t.desc || t.label}>
|
|
||||||
<button
|
|
||||||
type="button"
|
|
||||||
className={`wle-type${isActive ? ' is-active' : ''}${count ? '' : ' is-empty'}`}
|
|
||||||
onClick={() => setActiveType(isActive ? '' : t.key)}
|
|
||||||
>
|
|
||||||
<Tag bordered={false} color={t.tone}>{t.label}</Tag>
|
|
||||||
<span className="wle-type__count">{notStarted ? '—' : count}</span>
|
|
||||||
</button>
|
|
||||||
</Tooltip>
|
|
||||||
);
|
|
||||||
})}
|
|
||||||
{activeType ? (
|
|
||||||
<button type="button" className="wle-type__clear" onClick={() => setActiveType('')}>
|
|
||||||
取消筛选
|
|
||||||
</button>
|
|
||||||
) : null}
|
|
||||||
</div>
|
|
||||||
) : null}
|
|
||||||
|
|
||||||
<div className="wle-body">
|
|
||||||
<Card
|
|
||||||
bordered={false}
|
|
||||||
className="wle-centers"
|
|
||||||
title="发货仓"
|
|
||||||
extra={<Text type="secondary" className="wle-centers__hint">点仓库看明细</Text>}
|
|
||||||
>
|
|
||||||
<Spin spinning={loading && !data} size="small">
|
|
||||||
<ul className="wle-centers__list">
|
|
||||||
{centers.map((c) => {
|
|
||||||
const isActive = activeCenter === c.key;
|
|
||||||
return (
|
|
||||||
<li key={c.key}>
|
|
||||||
<Tooltip
|
|
||||||
placement="right"
|
|
||||||
title={`${c.name}：前一日发货 ${c.shippedOrders} 单，转运异常 ${c.exceptionOrders} 单`
|
|
||||||
+ `${c.shippedOrders ? `（异常率 ${c.exceptionRate}%）` : ''}`}
|
|
||||||
>
|
|
||||||
<button
|
|
||||||
type="button"
|
|
||||||
className={[
|
|
||||||
'wle-center',
|
|
||||||
isActive ? 'is-active' : '',
|
|
||||||
c.exceptionOrders ? '' : 'is-clean',
|
|
||||||
].filter(Boolean).join(' ')}
|
|
||||||
onClick={() => setActiveCenter(isActive ? '' : c.key)}
|
|
||||||
>
|
|
||||||
<span className="wle-center__name">{c.name}</span>
|
|
||||||
<span className={`wle-center__badge${c.exceptionOrders > 0 ? ' is-warn' : ''}`}>
|
|
||||||
{notStarted ? '—' : (c.exceptionOrders > 0 ? c.exceptionOrders : '—')}
|
|
||||||
</span>
|
|
||||||
</button>
|
|
||||||
</Tooltip>
|
|
||||||
</li>
|
|
||||||
);
|
|
||||||
})}
|
|
||||||
</ul>
|
|
||||||
</Spin>
|
|
||||||
</Card>
|
|
||||||
|
|
||||||
<Card
|
|
||||||
bordered={false}
|
|
||||||
className="wle-detail"
|
|
||||||
title={(
|
|
||||||
<span>
|
|
||||||
转运异常明细
|
|
||||||
<span className="wle-detail__scope">
|
|
||||||
{[activeCenterName, activeType ? types.find((t) => t.key === activeType)?.label : '']
|
|
||||||
.filter(Boolean).join(' · ') || '全部仓库'}
|
|
||||||
{' · '}
|
|
||||||
{detailOrders.length} 条
|
|
||||||
{data?.truncated && allOrders.length >= (data?.detailLimit || 0)
|
|
||||||
? `（已截断，仅显示前 ${data.detailLimit} 条）`
|
|
||||||
: ''}
|
|
||||||
</span>
|
|
||||||
</span>
|
|
||||||
)}
|
|
||||||
extra={(activeCenter || activeType) ? (
|
|
||||||
<button
|
|
||||||
type="button"
|
|
||||||
className="wle-detail__clear"
|
|
||||||
onClick={() => { setActiveCenter(''); setActiveType(''); }}
|
|
||||||
>
|
|
||||||
查看全部
|
|
||||||
</button>
|
|
||||||
) : null}
|
|
||||||
>
|
|
||||||
<Spin spinning={loading && !data}>
|
|
||||||
{notStarted ? (
|
|
||||||
<Empty
|
|
||||||
image={Empty.PRESENTED_IMAGE_SIMPLE}
|
|
||||||
description={`未到核验时间，${String(batch?.deadline || '').slice(5, 16)} 开始核验`}
|
|
||||||
/>
|
|
||||||
) : detailOrders.length ? (
|
|
||||||
<Table
|
|
||||||
rowKey={(r) => `${r.oId}-${r.trackingNo || r.sendTime}-${r.exceptionType}`}
|
|
||||||
size="small"
|
|
||||||
pagination={{ pageSize: 20, size: 'small', showSizeChanger: false, showTotal: (t) => `共 ${t} 条` }}
|
|
||||||
dataSource={detailOrders}
|
|
||||||
columns={DETAIL_COLUMNS}
|
|
||||||
scroll={{ x: 1900 }}
|
|
||||||
/>
|
|
||||||
) : (
|
|
||||||
<Empty
|
|
||||||
image={Empty.PRESENTED_IMAGE_SIMPLE}
|
|
||||||
description={activeCenter || activeType
|
|
||||||
? '这个筛选条件下没有转运异常'
|
|
||||||
: `前一日发货的订单物流都正常（或还没到核验时刻）`}
|
|
||||||
/>
|
|
||||||
)}
|
|
||||||
</Spin>
|
|
||||||
</Card>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<Text type="secondary" className="wle-foot">
|
|
||||||
说明：每天 <b>09:00</b> 核验<b>前一日已发货</b>订单的物流记录，只看两个卡点 ——
|
|
||||||
<b>未揽收</b>（快递没来揽）和<b>已揽收未中转</b>（揽了但没有下一步中转记录，卡在网点），
|
|
||||||
外加 <b>无物流单 / 快递报异常 / 退回</b>。
|
|
||||||
<b>运输中、派送中、已签收一律正常</b>：「运输」字样之后的中转记录本来就不回传聚水潭，不作考核。
|
|
||||||
子仓并入主仓统计；<b>京仓-横林二仓京东云仓</b> 与各代发仓不在 12 个发货仓范围内。
|
|
||||||
<br />
|
|
||||||
<b>不参与考核</b>：
|
|
||||||
{exclusions?.carriers?.length ? (
|
|
||||||
<>承运商 <b>{exclusions.carriers.join(' / ')}</b>（这些专线轨迹不回传聚水潭或本身无快递轨迹）；</>
|
|
||||||
) : null}
|
|
||||||
{exclusions?.conditionalCarriers?.length ? (
|
|
||||||
<>
|
|
||||||
{exclusions.conditionalCarriers.map((r) => (
|
|
||||||
<span key={r.keyword}>
|
|
||||||
<b>{r.keyword}</b> 只在 <b>{(r.keepCenters || []).join(' / ')}</b> 考核，
|
|
||||||
其它仓异地用同一账号打单的剔出（{r.reason}）；
|
|
||||||
</span>
|
|
||||||
))}
|
|
||||||
</>
|
|
||||||
) : null}
|
|
||||||
<b>已取消 / 作废 / 拦截</b>的订单
|
|
||||||
{exclusions?.orderLabelKeywords?.length
|
|
||||||
? <>（含标签「{exclusions.orderLabelKeywords.join('」「')}」）</>
|
|
||||||
: null}
|
|
||||||
；<b>{exclusions?.orderTypeLabels?.length ? exclusions.orderTypeLabels.join(' / ') : '刷单 / 信誉单'}</b>
|
|
||||||
（按订单标签「刷单」「转空包」识别）—— 都不是真实发货，不用跟物流。
|
|
||||||
{exclusions && (exclusions.carrierOrders > 0 || exclusions.voidedOrders > 0
|
|
||||||
|| exclusions.nonRealOrders > 0) ? (
|
|
||||||
<>
|
|
||||||
{' '}本批已剔除 <b>{(exclusions.carrierOrders || 0) + (exclusions.voidedOrders || 0)
|
|
||||||
+ (exclusions.nonRealOrders || 0)}</b> 单
|
|
||||||
（承运商 {exclusions.carrierOrders || 0} 单、已终止 {exclusions.voidedOrders || 0} 单、
|
|
||||||
刷单/信誉单 {exclusions.nonRealOrders || 0} 单），
|
|
||||||
{exclusions.carrierReasons && Object.keys(exclusions.carrierReasons).length ? (
|
|
||||||
<>
|
|
||||||
其中承运商剔除：<b>
|
|
||||||
{Object.entries(exclusions.carrierReasons)
|
|
||||||
.sort((a, b) => b[1] - a[1])
|
|
||||||
.map(([k, v]) => `${k} ${v} 单`)
|
|
||||||
.join(' / ')}
|
|
||||||
</b>；
|
|
||||||
</>
|
|
||||||
) : null}
|
|
||||||
剔除的单<b>既不算异常也不算发货分母</b>，所以异常率不会被稀释。
|
|
||||||
</>
|
|
||||||
) : null}
|
|
||||||
<br />
|
|
||||||
页面按<b>当前物流快照</b>计算：核验时刻之后才更新的轨迹（比如 9 点后才揽收、才签收）会让对应异常自动消失，
|
|
||||||
所以这里的数字是「到此刻为止还异常的」—— 想留档 09:00 那一刻的结论，需要每天 9 点落一份快照。
|
|
||||||
</Text>
|
|
||||||
|
|
||||||
<Modal
|
|
||||||
title="异常通知 · 每天把异常明细推到钉钉群"
|
|
||||||
open={notifyOpen}
|
|
||||||
onCancel={() => setNotifyOpen(false)}
|
|
||||||
width={720}
|
|
||||||
destroyOnHidden
|
|
||||||
maskClosable={false}
|
|
||||||
styles={{ body: { maxHeight: '62vh', overflowY: 'auto' } }}
|
|
||||||
footer={[
|
|
||||||
<Button key="close" onClick={() => setNotifyOpen(false)}>关闭</Button>,
|
|
||||||
<Button key="probe" onClick={() => handleRunNotify('probe')} loading={notifyRunning} disabled={notifySaving}>
|
|
||||||
测试通道
|
|
||||||
</Button>,
|
|
||||||
<Button key="preview" onClick={() => handleRunNotify('dry')} loading={notifyRunning} disabled={notifySaving}>
|
|
||||||
预览正文
|
|
||||||
</Button>,
|
|
||||||
<Button key="save" onClick={() => handleSaveNotify()} loading={notifySaving}>保存</Button>,
|
|
||||||
<Button key="run" type="primary" onClick={() => handleRunNotify('send')} loading={notifyRunning} disabled={notifySaving}>
|
|
||||||
立即推送到群
|
|
||||||
</Button>,
|
|
||||||
]}
|
|
||||||
>
|
|
||||||
<Spin spinning={notifyLoading}>
|
|
||||||
<Space direction="vertical" size={12} style={{ width: '100%' }}>
|
|
||||||
<Alert
|
|
||||||
type={notifyConfig?.ready ? 'success' : 'warning'}
|
|
||||||
showIcon
|
|
||||||
message={notifyConfig?.ready
|
|
||||||
? `通道已配好，每天 ${notifyForm.sendTime} 自动推送（0 条异常也推，用来确认任务在跑）`
|
|
||||||
: 'Webhook 地址还没配，填好保存后点「测试通道」验一下'}
|
|
||||||
description={notifyConfig?.ready ? null : (
|
|
||||||
<span>
|
|
||||||
缺：<b>{(notifyConfig?.missingFields || []).join(' / ') || '（尚未读取）'}</b>
|
|
||||||
</span>
|
|
||||||
)}
|
|
||||||
/>
|
|
||||||
|
|
||||||
<div className="wle-notify__row">
|
|
||||||
<span className="wle-notify__label">每天推送</span>
|
|
||||||
<Switch
|
|
||||||
checked={notifyForm.enabled}
|
|
||||||
onChange={(checked) => setNotifyForm((old) => ({ ...old, enabled: checked }))}
|
|
||||||
checkedChildren="开"
|
|
||||||
unCheckedChildren="关"
|
|
||||||
/>
|
|
||||||
<TimePicker
|
|
||||||
format="HH:mm"
|
|
||||||
value={notifyTimeValue}
|
|
||||||
allowClear={false}
|
|
||||||
minuteStep={5}
|
|
||||||
style={{ width: 96 }}
|
|
||||||
onChange={(value) => {
|
|
||||||
if (!value) return;
|
|
||||||
setNotifyForm((old) => ({ ...old, sendTime: value.format('HH:mm') }));
|
|
||||||
}}
|
|
||||||
/>
|
|
||||||
<Text type="secondary">核验在 09:00，推送默认 09:10（早于核验点会推空，系统自己会跳过）</Text>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<div className="wle-notify__row">
|
|
||||||
<span className="wle-notify__label">Webhook</span>
|
|
||||||
<Input
|
|
||||||
value={notifyForm.webhookUrl}
|
|
||||||
placeholder="https://oapi.dingtalk.com/robot/send?access_token=xxxx"
|
|
||||||
onChange={(e) => setNotifyForm((old) => ({ ...old, webhookUrl: e.target.value }))}
|
|
||||||
style={{ flex: 1, minWidth: 360 }}
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<div className="wle-notify__row">
|
|
||||||
<span className="wle-notify__label">加签密钥</span>
|
|
||||||
<Input.Password
|
|
||||||
value={notifyForm.webhookSecret}
|
|
||||||
placeholder={notifyConfig?.webhookSecretConfigured
|
|
||||||
? `已保存 ${notifyConfig.webhookSecretPreview || ''}，留空表示不修改`
|
|
||||||
: 'SEC 开头；安全设置选「关键词 / IP」时留空'}
|
|
||||||
onChange={(e) => setNotifyForm((old) => ({ ...old, webhookSecret: e.target.value }))}
|
|
||||||
style={{ flex: 1, minWidth: 300 }}
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<div className="wle-notify__row">
|
|
||||||
<span className="wle-notify__label">明细条数</span>
|
|
||||||
<InputNumber
|
|
||||||
min={0}
|
|
||||||
max={notifyConfig?.maxDetailRowsLimit || 50}
|
|
||||||
precision={0}
|
|
||||||
value={notifyForm.maxDetailRows}
|
|
||||||
onChange={(value) => setNotifyForm((old) => ({ ...old, maxDetailRows: value ?? 0 }))}
|
|
||||||
style={{ width: 96 }}
|
|
||||||
/>
|
|
||||||
<Text type="secondary">
|
|
||||||
消息里最多列几条明细（0 = 只发汇总）；钉钉文本上限 20000 字节，超了会自动精简
|
|
||||||
</Text>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<div className="wle-notify__row">
|
|
||||||
<span className="wle-notify__label">@所有人</span>
|
|
||||||
<Switch
|
|
||||||
checked={notifyForm.atAll}
|
|
||||||
onChange={(checked) => setNotifyForm((old) => ({ ...old, atAll: checked }))}
|
|
||||||
checkedChildren="开"
|
|
||||||
unCheckedChildren="关"
|
|
||||||
/>
|
|
||||||
<Text type="secondary">打开后每批异常都会 @所有人（有异常才推，0 条也会推一条平安消息）</Text>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<div className="wle-notify__row">
|
|
||||||
<span className="wle-notify__label">页面链接</span>
|
|
||||||
<Input
|
|
||||||
value={notifyForm.pageUrl}
|
|
||||||
placeholder="消息末尾「查看全部」用的地址（留空用默认生产地址）"
|
|
||||||
onChange={(e) => setNotifyForm((old) => ({ ...old, pageUrl: e.target.value }))}
|
|
||||||
style={{ flex: 1, minWidth: 360 }}
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
{notifyPreview ? (
|
|
||||||
<div className="wle-notify__preview">
|
|
||||||
<div className="wle-notify__preview-head">
|
|
||||||
<Text type="secondary">
|
|
||||||
{notifyPreview.batchLabel || '预览'}
|
|
||||||
{' '}｜ 异常 <b>{notifyPreview.rowCount}</b> 条
|
|
||||||
{' '}｜ 消息里列出 <b>{notifyPreview.listedCount}</b> 条
|
|
||||||
{' '}｜ {Math.round((notifyPreview.bytes / 1024) * 10) / 10} KB
|
|
||||||
{notifyPreview.truncated ? '（超长已精简）' : ''}
|
|
||||||
</Text>
|
|
||||||
<Button type="link" size="small" onClick={() => setNotifyPreview(null)}>收起</Button>
|
|
||||||
</div>
|
|
||||||
<pre>{notifyPreview.text || '（消息正文为空）'}</pre>
|
|
||||||
</div>
|
|
||||||
) : null}
|
|
||||||
|
|
||||||
<div className="wle-notify__last">
|
|
||||||
<Text type="secondary">
|
|
||||||
上次推送：
|
|
||||||
{notifyLastState.lastSentDate
|
|
||||||
? <> {notifyLastState.lastSentDate} {String(notifyLastState.lastSentAt || '').slice(11, 19)}
|
|
||||||
{' '}· 异常 {notifyLastState.rowCount ?? 0} 条
|
|
||||||
{' '}· 列出 {notifyLastState.listedCount ?? '—'} 条
|
|
||||||
{notifyLastState.truncated ? '（超长已精简）' : ''}</>
|
|
||||||
: ' 还没有成功推送记录'}
|
|
||||||
</Text>
|
|
||||||
{notifyLastState.lastError ? (
|
|
||||||
<div className="wle-notify__error">
|
|
||||||
<Text type="danger">最近一次失败：{String(notifyLastState.lastError).slice(0, 300)}</Text>
|
|
||||||
</div>
|
|
||||||
) : null}
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<Collapse size="small" items={NOTIFY_HELP_ITEMS} />
|
|
||||||
</Space>
|
|
||||||
</Spin>
|
|
||||||
</Modal>
|
|
||||||
</SycmPage>
|
|
||||||
);
|
|
||||||
}
|
|
||||||
|
|
||||||
export default WarehouseLogisticsException;
|
|
||||||
@ -1,345 +0,0 @@
|
|||||||
.wle-page {
|
|
||||||
padding: 16px 20px 24px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-header {
|
|
||||||
margin-bottom: 14px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-header .ant-typography {
|
|
||||||
margin-bottom: 4px;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* 口径说明：页面顶部是深色渐变，直接放浅色小字看不清，给一块浅底 */
|
|
||||||
.wle-note {
|
|
||||||
display: block;
|
|
||||||
max-width: 1180px;
|
|
||||||
margin-top: 8px;
|
|
||||||
padding: 10px 14px;
|
|
||||||
background: var(--sycm-bg-container);
|
|
||||||
border: 1px solid var(--sycm-border-color);
|
|
||||||
border-radius: 8px;
|
|
||||||
font-size: 12px;
|
|
||||||
line-height: 1.75;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ============ 批次状态条 ============ */
|
|
||||||
.wle-status {
|
|
||||||
margin-bottom: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-status__row {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
justify-content: space-between;
|
|
||||||
gap: 12px;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-status__batch {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
gap: 10px;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-status__badge {
|
|
||||||
padding: 1px 8px;
|
|
||||||
border-radius: 4px;
|
|
||||||
background: rgba(22, 119, 255, 0.12);
|
|
||||||
color: #0958d9;
|
|
||||||
font-size: 12px;
|
|
||||||
font-weight: 600;
|
|
||||||
line-height: 20px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-status__badge--idle {
|
|
||||||
background: rgba(136, 135, 128, 0.14);
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-status__label {
|
|
||||||
font-size: 13px;
|
|
||||||
color: var(--sycm-text-primary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-status__window,
|
|
||||||
.wle-status__time {
|
|
||||||
font-size: 12px;
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-alert {
|
|
||||||
margin-bottom: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ============ 统计卡 ============ */
|
|
||||||
.wle-stats {
|
|
||||||
display: grid;
|
|
||||||
grid-template-columns: repeat(4, minmax(0, 1fr));
|
|
||||||
gap: 12px;
|
|
||||||
margin-bottom: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
@media (max-width: 1200px) {
|
|
||||||
.wle-stats { grid-template-columns: repeat(2, minmax(0, 1fr)); }
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-stat {
|
|
||||||
height: 100%;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-stat__sub {
|
|
||||||
display: block;
|
|
||||||
margin-top: 4px;
|
|
||||||
font-size: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ============ 异常类型筛选 ============ */
|
|
||||||
.wle-types {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
gap: 8px;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
margin-bottom: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-type {
|
|
||||||
display: inline-flex;
|
|
||||||
align-items: center;
|
|
||||||
gap: 4px;
|
|
||||||
padding: 2px 10px 2px 2px;
|
|
||||||
border: 1px solid var(--sycm-border-color);
|
|
||||||
border-radius: 16px;
|
|
||||||
background: var(--sycm-bg-container);
|
|
||||||
cursor: pointer;
|
|
||||||
transition: border-color 0.15s, background 0.15s;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-type:hover {
|
|
||||||
border-color: rgba(22, 119, 255, 0.45);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-type.is-active {
|
|
||||||
border-color: rgba(22, 119, 255, 0.6);
|
|
||||||
background: rgba(22, 119, 255, 0.08);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-type.is-empty {
|
|
||||||
opacity: 0.55;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-type__count {
|
|
||||||
font-size: 12px;
|
|
||||||
font-weight: 600;
|
|
||||||
color: var(--sycm-text-primary);
|
|
||||||
font-variant-numeric: tabular-nums;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-type__clear {
|
|
||||||
padding: 0;
|
|
||||||
border: none;
|
|
||||||
background: transparent;
|
|
||||||
font-size: 12px;
|
|
||||||
color: #1677ff;
|
|
||||||
cursor: pointer;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ============ 主从两栏 ============ */
|
|
||||||
.wle-body {
|
|
||||||
display: flex;
|
|
||||||
align-items: flex-start;
|
|
||||||
gap: 14px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-centers {
|
|
||||||
flex: none;
|
|
||||||
width: 272px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-centers__hint {
|
|
||||||
font-size: 11px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-centers__list {
|
|
||||||
margin: 0;
|
|
||||||
padding: 0;
|
|
||||||
list-style: none;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-center {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
justify-content: space-between;
|
|
||||||
gap: 8px;
|
|
||||||
width: 100%;
|
|
||||||
padding: 6px 8px;
|
|
||||||
margin-bottom: 2px;
|
|
||||||
border: 1px solid transparent;
|
|
||||||
border-radius: 6px;
|
|
||||||
background: transparent;
|
|
||||||
font-size: 13px;
|
|
||||||
text-align: left;
|
|
||||||
color: var(--sycm-text-primary);
|
|
||||||
cursor: pointer;
|
|
||||||
transition: background 0.12s ease;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-center:hover {
|
|
||||||
background: var(--sycm-bg-subtle);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-center.is-active {
|
|
||||||
border-color: rgba(22, 119, 255, 0.45);
|
|
||||||
background: rgba(22, 119, 255, 0.08);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-center.is-clean .wle-center__name {
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-center__name {
|
|
||||||
overflow: hidden;
|
|
||||||
white-space: nowrap;
|
|
||||||
text-overflow: ellipsis;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-center__badge {
|
|
||||||
flex: none;
|
|
||||||
min-width: 24px;
|
|
||||||
padding: 0 6px;
|
|
||||||
border-radius: 9px;
|
|
||||||
background: rgba(136, 135, 128, 0.12);
|
|
||||||
font-size: 11px;
|
|
||||||
font-weight: 600;
|
|
||||||
line-height: 17px;
|
|
||||||
text-align: center;
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
font-variant-numeric: tabular-nums;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-center__badge.is-warn {
|
|
||||||
background: rgba(255, 77, 79, 0.16);
|
|
||||||
color: #cf1322;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-detail {
|
|
||||||
flex: 1 1 auto;
|
|
||||||
min-width: 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-detail__scope {
|
|
||||||
margin-left: 8px;
|
|
||||||
font-size: 12px;
|
|
||||||
font-weight: 400;
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-detail__clear {
|
|
||||||
padding: 0;
|
|
||||||
border: none;
|
|
||||||
background: transparent;
|
|
||||||
font-size: 12px;
|
|
||||||
color: #1677ff;
|
|
||||||
cursor: pointer;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-detail__hours {
|
|
||||||
color: #cf1322;
|
|
||||||
font-variant-numeric: tabular-nums;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-detail__soid {
|
|
||||||
font-variant-numeric: tabular-nums;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-foot {
|
|
||||||
display: block;
|
|
||||||
margin-top: 12px;
|
|
||||||
font-size: 12px;
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
/* 窄屏：仓库列表改两列网格，明细整行下移 */
|
|
||||||
@media (max-width: 1200px) {
|
|
||||||
.wle-body {
|
|
||||||
flex-direction: column;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-centers {
|
|
||||||
width: 100%;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-centers__list {
|
|
||||||
display: grid;
|
|
||||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
|
||||||
gap: 2px 10px;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ── 异常通知（每天推 Excel 到钉钉群）───────────────────────────── */
|
|
||||||
.wle-notify__row {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
gap: 8px;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-notify__label {
|
|
||||||
flex: 0 0 88px;
|
|
||||||
font-size: 13px;
|
|
||||||
color: var(--sycm-text-secondary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-notify__last {
|
|
||||||
padding: 8px 10px;
|
|
||||||
border-radius: 6px;
|
|
||||||
background: var(--sycm-fill-quaternary, rgba(0, 0, 0, 0.02));
|
|
||||||
font-size: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-notify__error {
|
|
||||||
margin-top: 4px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-notify__help {
|
|
||||||
font-size: 12px;
|
|
||||||
line-height: 1.8;
|
|
||||||
color: var(--sycm-text-secondary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-notify__help code {
|
|
||||||
padding: 0 4px;
|
|
||||||
border-radius: 3px;
|
|
||||||
background: var(--sycm-fill-quaternary, rgba(0, 0, 0, 0.04));
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-notify__preview {
|
|
||||||
padding: 10px 12px;
|
|
||||||
border: 1px solid var(--sycm-border, rgba(0, 0, 0, 0.08));
|
|
||||||
border-radius: 8px;
|
|
||||||
background: var(--sycm-fill-quaternary, rgba(0, 0, 0, 0.02));
|
|
||||||
font-size: 12px;
|
|
||||||
line-height: 1.8;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-notify__preview-head {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
justify-content: space-between;
|
|
||||||
gap: 8px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wle-notify__preview pre {
|
|
||||||
margin: 8px 0 0;
|
|
||||||
padding: 8px 10px;
|
|
||||||
border-radius: 6px;
|
|
||||||
background: var(--sycm-bg-container, #fff);
|
|
||||||
white-space: pre-wrap;
|
|
||||||
word-break: break-all;
|
|
||||||
font-size: 12px;
|
|
||||||
line-height: 1.7;
|
|
||||||
/* 30 条明细大概 40 行，别把整个弹窗撑爆；内部滚动看全 */
|
|
||||||
max-height: 280px;
|
|
||||||
overflow: auto;
|
|
||||||
}
|
|
||||||
@ -1,546 +0,0 @@
|
|||||||
import React, { useCallback, useEffect, useMemo, useState } from 'react';
|
|
||||||
import {
|
|
||||||
Alert, Button, Card, Empty, Modal, Space, Spin, Statistic, Table, Tag, Tooltip, Typography,
|
|
||||||
} from 'antd';
|
|
||||||
import { ReloadOutlined } from '@ant-design/icons';
|
|
||||||
import { SycmPage } from '../../components/Common';
|
|
||||||
import { getWarehouseShipTimeliness } from '../../api/warehouseShipTimeliness';
|
|
||||||
import './style.css';
|
|
||||||
|
|
||||||
const { Title, Text } = Typography;
|
|
||||||
|
|
||||||
// 核验点只有 13:00 / 18:00 两个，10 分钟刷新一次足够。
|
|
||||||
// 接口要扫两张订单表 + 出库表（rpt 下全是视图），冷启动 40~60 秒，别跟着其它页面的轮询节奏跑。
|
|
||||||
const AUTO_REFRESH_MS = 10 * 60 * 1000;
|
|
||||||
|
|
||||||
const number = (value, digits = 0) => (
|
|
||||||
value === null || value === undefined || value === ''
|
|
||||||
? '0'
|
|
||||||
: Number(value).toLocaleString('zh-CN', {
|
|
||||||
minimumFractionDigits: digits,
|
|
||||||
maximumFractionDigits: digits,
|
|
||||||
})
|
|
||||||
);
|
|
||||||
|
|
||||||
// 超时时长（分钟）→「3 小时 20 分」/「12 天 4 小时」。
|
|
||||||
// ⚠️ 口径放开后（含历史未发单）会出现跨天的超时，必须给「天」，否则显示成「8640 小时」。
|
|
||||||
const formatOverdue = (minutes) => {
|
|
||||||
const m = Number(minutes);
|
|
||||||
if (!Number.isFinite(m) || m <= 0) return '—';
|
|
||||||
if (m < 60) return `${m} 分钟`;
|
|
||||||
const h = Math.floor(m / 60);
|
|
||||||
const rest = m % 60;
|
|
||||||
if (h < 24) return rest ? `${h} 小时 ${rest} 分` : `${h} 小时`;
|
|
||||||
const d = Math.floor(h / 24);
|
|
||||||
const hr = h % 24;
|
|
||||||
return hr ? `${d} 天 ${hr} 小时` : `${d} 天`;
|
|
||||||
};
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 「不计考核」清单的列（待审核 / 订单异常）。
|
|
||||||
* 业务反馈（2026-10-20）：贴进来的一批单号在聚水潭查不到，实测真实状态是
|
|
||||||
* 「已取消（发货前售后）」或「异常」—— 这类单不该算仓库超时。
|
|
||||||
* 这里把它们单列出来，回答「为什么这些单没进超时列表」。
|
|
||||||
*/
|
|
||||||
const HELD_COLUMNS = [
|
|
||||||
{ title: '内部单号', dataIndex: 'oId', width: 100 },
|
|
||||||
{ title: '线上订单号', dataIndex: 'soId', width: 170, ellipsis: true },
|
|
||||||
{ title: '店铺', dataIndex: 'shopName', width: 170, ellipsis: true },
|
|
||||||
{ title: '发货仓', dataIndex: 'warehouseName', width: 160, ellipsis: true },
|
|
||||||
{
|
|
||||||
title: '挂起原因',
|
|
||||||
dataIndex: 'holdReason',
|
|
||||||
width: 110,
|
|
||||||
render: (v) => (
|
|
||||||
<Tag bordered={false} color={v === '订单异常' ? 'red' : 'default'}>{v || '—'}</Tag>
|
|
||||||
),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '发货时间',
|
|
||||||
dataIndex: 'sendTime',
|
|
||||||
width: 178,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v, row) => {
|
|
||||||
if (v) return v;
|
|
||||||
const no = row?.logisticId;
|
|
||||||
if (no) {
|
|
||||||
return (
|
|
||||||
<Tooltip title={`已打单：${row.logisticCompany || ''} ${no}（${row.logisticStatus || '未揽收'}）`}>
|
|
||||||
<Tag bordered={false} color="blue">已打单 · {row.logisticStatus || '未揽收'}</Tag>
|
|
||||||
</Tooltip>
|
|
||||||
);
|
|
||||||
}
|
|
||||||
return <Tag bordered={false} color="default">未发货</Tag>;
|
|
||||||
},
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '审核时间',
|
|
||||||
dataIndex: 'auditTime',
|
|
||||||
width: 152,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v) => (v || <span className="wst-detail__fallback">未审核</span>),
|
|
||||||
},
|
|
||||||
{ title: '付款时间', dataIndex: 'payTime', width: 152, ellipsis: true, render: (v) => v || '—' },
|
|
||||||
{ title: '已挂起', dataIndex: 'heldDays', width: 88, render: (v) => (v > 0 ? `${v} 天` : '—') },
|
|
||||||
];
|
|
||||||
|
|
||||||
const DETAIL_COLUMNS = [
|
|
||||||
// 内部单号 = 聚水潭 o_id（系统内部编号，仓管在系统里按它查单）
|
|
||||||
{ title: '内部单号', dataIndex: 'oId', width: 110 },
|
|
||||||
// 线上订单号 = 平台 so_id（京东/抖音/天猫等平台单号，客服按它对接客户）
|
|
||||||
{
|
|
||||||
title: '线上订单号',
|
|
||||||
dataIndex: 'soId',
|
|
||||||
width: 178,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v) => (v ? <span className="wst-detail__soid">{v}</span> : '—'),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '店铺',
|
|
||||||
dataIndex: 'shopName',
|
|
||||||
width: 180,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v) => (v || '—'),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '发货仓',
|
|
||||||
dataIndex: 'warehouseName',
|
|
||||||
width: 170,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v) => (v || '—'),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
// 发货时间 = 聚水潭回传的发货时间（业务 2026-10-20：明细里不要创建时间，要发货时间）
|
|
||||||
title: (
|
|
||||||
<Tooltip title="聚水潭回传的发货时间（send_time）。为空但有运单号的，说明仓库已打单、还没揽收/回传发货时间，会显示成「已打单」">
|
|
||||||
<span>发货时间</span>
|
|
||||||
</Tooltip>
|
|
||||||
),
|
|
||||||
dataIndex: 'sendTime',
|
|
||||||
width: 178,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v, row) => {
|
|
||||||
if (v) return v;
|
|
||||||
const no = row?.logisticId;
|
|
||||||
if (no) {
|
|
||||||
return (
|
|
||||||
<Tooltip title={`已打单：${row.logisticCompany || ''} ${no}（${row.logisticStatus || '未揽收'}）。聚水潭还没回传发货时间，所以还没从超时列表里消失`}>
|
|
||||||
<Tag bordered={false} color="blue">已打单 · {row.logisticStatus || '未揽收'}</Tag>
|
|
||||||
</Tooltip>
|
|
||||||
);
|
|
||||||
}
|
|
||||||
return <Tag bordered={false} color="default">未发货</Tag>;
|
|
||||||
},
|
|
||||||
},
|
|
||||||
{
|
|
||||||
// 审核时间 = **考核基准**，取聚水潭「审核时间」列（最后一次审核，重审会刷新）
|
|
||||||
title: (
|
|
||||||
<Tooltip title="= 聚水潭订单列表「审核时间」那一列（最后一次审核，重新审核会刷新）。今天 7:00 前审核的 13:00 核验；截止 16:00 前审核的（含今天之前未发的历史单）18:00 核验，已等时长也从它算">
|
|
||||||
<span>审核时间</span>
|
|
||||||
</Tooltip>
|
|
||||||
),
|
|
||||||
dataIndex: 'auditTime',
|
|
||||||
width: 152,
|
|
||||||
ellipsis: true,
|
|
||||||
render: (v, row) => (v
|
|
||||||
? v
|
|
||||||
: (
|
|
||||||
<Tooltip title="没取到审核时间，已回退创建/付款时间参与分轮与计时">
|
|
||||||
<span className="wst-detail__fallback">{row?.benchmarkTime || '—'} *</span>
|
|
||||||
</Tooltip>
|
|
||||||
)),
|
|
||||||
},
|
|
||||||
// 付款时间 = 客户付款那一刻（并列展示，方便对账）
|
|
||||||
{ title: '付款时间', dataIndex: 'payTime', width: 152, ellipsis: true, render: (v) => v || '—' },
|
|
||||||
{
|
|
||||||
// 发货状态：聚水潭实时状态（发货中 = 已审核未发货，即考核对象）
|
|
||||||
title: (
|
|
||||||
<Tooltip title="聚水潭订单实时状态。发货中 = 已审核、仓库还没发货">
|
|
||||||
<span>发货状态</span>
|
|
||||||
</Tooltip>
|
|
||||||
),
|
|
||||||
dataIndex: 'state',
|
|
||||||
width: 104,
|
|
||||||
render: (v) => (
|
|
||||||
<Tag bordered={false} color={v === '发货中' ? 'orange' : 'default'}>{v || '—'}</Tag>
|
|
||||||
),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: '物流状态',
|
|
||||||
dataIndex: 'logisticStatus',
|
|
||||||
width: 100,
|
|
||||||
render: (v) => (v ? <Tag bordered={false}>{v}</Tag> : '—'),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: (
|
|
||||||
<Tooltip title="从审核时间到本轮核验时刻（13:00 / 18:00）等了多久">
|
|
||||||
<span>已等时长</span>
|
|
||||||
</Tooltip>
|
|
||||||
),
|
|
||||||
dataIndex: 'overdueMinutes',
|
|
||||||
width: 112,
|
|
||||||
render: (v) => <span className="wst-detail__overdue">{formatOverdue(v)}</span>,
|
|
||||||
},
|
|
||||||
];
|
|
||||||
|
|
||||||
/**
|
|
||||||
* 仓储中心 24 小时发货时效（独立页面）
|
|
||||||
* ────────────────────────────────────────────────────────────────
|
|
||||||
* 业务口径（yanhui 2026-10-20）：
|
|
||||||
* · 11 个主仓，子仓并入主仓一起算；
|
|
||||||
* · 今天 07:00 前**审核**的订单 13:00 核验，截止今天 16:00 前审核的单 18:00 核验
|
|
||||||
* （含 7 点前未发出的、含今天之前审核至今未发的历史单；山东两仓 15:00、河南洛宁 13:00）；
|
|
||||||
* 今天之前审核仍未发的（历史未发）两个轮次都算；
|
|
||||||
* **到核验时刻未发即超时**，没有「满 24 小时」门槛（业务纠偏点）；
|
|
||||||
* 轮次归属和「已等时长」都按**审核时间**算（聚水潭「审核时间」列，最后一次审核）；
|
|
||||||
* · **13:00 之前不核验**，直接显示「未到核验时间」，不拿昨天的结果冒充今天；
|
|
||||||
* · 已出库 / 待出库以**聚水潭发货时间**为准（有 send_time = 已发）；
|
|
||||||
* · 只显示超时未出库（发完的仓显示「—」），点仓库可筛右侧明细。
|
|
||||||
*
|
|
||||||
* 数据来自 /api/warehouse-ship-timeliness/list（service 层见
|
|
||||||
* backend/src/services/warehouseShipTimelinessService.js）。
|
|
||||||
*/
|
|
||||||
function WarehouseShipTimeliness() {
|
|
||||||
const [data, setData] = useState(null);
|
|
||||||
const [loading, setLoading] = useState(false);
|
|
||||||
const [error, setError] = useState('');
|
|
||||||
// 选中的主仓：为空时右侧展示全部仓的超时明细
|
|
||||||
const [activeCenter, setActiveCenter] = useState('');
|
|
||||||
// 「业务挂起（疑问单）」明细弹窗
|
|
||||||
const [heldOpen, setHeldOpen] = useState(false);
|
|
||||||
|
|
||||||
// force=true 时带 force=1 让后端绕过 5 分钟结果缓存重查库；
|
|
||||||
// 定时轮询走缓存（这张视图单次要几十秒，每轮都重查会把库压死）
|
|
||||||
const load = useCallback(async (force = false) => {
|
|
||||||
setLoading(true);
|
|
||||||
setError('');
|
|
||||||
try {
|
|
||||||
const result = await getWarehouseShipTimeliness({ limit: 1000, force: force ? 1 : 0 });
|
|
||||||
if (!result || result.success === false) {
|
|
||||||
setError(result?.error || '加载发货时效失败');
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
setData(result.data || null);
|
|
||||||
} catch (loadError) {
|
|
||||||
setError(loadError?.response?.data?.error || loadError?.message || '加载发货时效失败');
|
|
||||||
} finally {
|
|
||||||
setLoading(false);
|
|
||||||
}
|
|
||||||
}, []);
|
|
||||||
|
|
||||||
useEffect(() => {
|
|
||||||
load();
|
|
||||||
const timer = window.setInterval(() => load(), AUTO_REFRESH_MS);
|
|
||||||
return () => window.clearInterval(timer);
|
|
||||||
}, [load]);
|
|
||||||
|
|
||||||
const centers = useMemo(() => (Array.isArray(data?.centers) ? data.centers : []), [data]);
|
|
||||||
const orders = useMemo(() => (Array.isArray(data?.orders) ? data.orders : []), [data]);
|
|
||||||
// 业务挂起（疑问单）—— 与 orders 互斥，两者相加才是待出库池
|
|
||||||
const heldOrders = useMemo(
|
|
||||||
() => (Array.isArray(data?.heldOrders) ? data.heldOrders : []),
|
|
||||||
[data]
|
|
||||||
);
|
|
||||||
const summary = data?.summary || {};
|
|
||||||
const round = data?.round || null;
|
|
||||||
const freshness = data?.freshness || null;
|
|
||||||
// 13:00 之前后端返回 round=null + notStarted=true：此时**不展示任何超时数字**
|
|
||||||
const notStarted = Boolean(data?.notStarted);
|
|
||||||
const hasRound = Boolean(round);
|
|
||||||
const cutoffText = String(round?.windowEnd || '').slice(11, 16);
|
|
||||||
const windowEndText = String(data?.window?.end || '').slice(11, 16);
|
|
||||||
// 仓级例外窗口：18:00 轮里 山东两仓 15:00、河南洛宁 13:00（业务 2026-10-20 指定）
|
|
||||||
const windowOverrides = Array.isArray(data?.window?.overrides) ? data.window.overrides : [];
|
|
||||||
const overrideText = windowOverrides
|
|
||||||
.map((o) => `${o.name} ${String(o.hour).padStart(2, '0')}:00`)
|
|
||||||
.join('、');
|
|
||||||
// 未到核验时间时的提示文案，全部由后端给，前端不写死时刻
|
|
||||||
const nextRoundText = String(data?.nextRoundAt || '').slice(11, 16) || '13:00';
|
|
||||||
const nextWindowEndText = String(data?.nextWindowEnd || '').slice(11, 16) || '07:00';
|
|
||||||
|
|
||||||
const activeCenterName = useMemo(() => {
|
|
||||||
if (!activeCenter) return '';
|
|
||||||
const hit = centers.find((c) => c.key === activeCenter);
|
|
||||||
return hit ? hit.name : activeCenter;
|
|
||||||
}, [activeCenter, centers]);
|
|
||||||
|
|
||||||
const detailOrders = useMemo(() => (
|
|
||||||
activeCenter ? orders.filter((o) => o.centerKey === activeCenter) : orders
|
|
||||||
), [activeCenter, orders]);
|
|
||||||
|
|
||||||
return (
|
|
||||||
<SycmPage className="wst-page">
|
|
||||||
<header className="wst-header">
|
|
||||||
<Title level={3}>仓储中心 24 小时发货时效</Title>
|
|
||||||
<Text type="secondary">
|
|
||||||
按聚水潭订单实时状态核验 11 个主仓是否在承诺时效内完成发货，只列超时未发货的单量。
|
|
||||||
</Text>
|
|
||||||
<Text type="secondary" className="wst-note">
|
|
||||||
每天 <b>13:00</b> 核验「<b>今天 07:00 前审核</b>」、<b>18:00</b> 核验「<b>截止 16:00 前审核</b>」、
|
|
||||||
到核验时刻仍未发货的订单；两个轮次都<b>包含今天之前审核、至今未发的历史未发单</b>
|
|
||||||
（18:00 轮也会带上 7 点前审核、13:00 还没发出的那批）—— 滚动待发池，不按自然日切。
|
|
||||||
13:00 之前不核验，显示「未到核验时间」。
|
|
||||||
<b>到点还没发就算超时 —— 不设「满 24 小时」门槛</b>（早上 7 点前那份单，13:00 还没走就是超时）。
|
|
||||||
<b>仓级例外</b>：18:00 轮里 <b>山东青岗集仓 / 山东品牌仓</b> 只看 <b>15:00 前审核</b>的单、
|
|
||||||
<b>河南洛宁仓</b> 只看 <b>13:00 前审核</b>的单（核验时刻仍是 18:00）。
|
|
||||||
<b>轮次与「已等时长」都按审核时间算</b>（= 聚水潭「审核时间」列，最后一次审核）；
|
|
||||||
明细并列「审核时间 / 发货时间」，方便直接和聚水潭对账。
|
|
||||||
<b>已发 / 未发以聚水潭发货时间为准</b>：有发货时间就是已发，不再用订单表的发货字段反推
|
|
||||||
—— 该字段经常不回写，会把早就发货的单误判成超时。
|
|
||||||
<b>已打单但还没揽收的</b>（聚水潭已生成运单号、发货时间还空着）会标成「已打单 · 未揽收」，
|
|
||||||
鼠标悬停能看到运单号 —— 这类单还留在列表里，等聚水潭回传发货时间才消失。
|
|
||||||
<b>自提 / 中铁 / 壹米滴答 三个快递不考核</b>（客户自提或专线大件，仓库控制不了运输），
|
|
||||||
已按物流公司自动剔除。
|
|
||||||
<b>「已支付待审核」和「异常」的单不计考核</b>（仓库还没接到或订单本身有问题），单独归入「不计考核」并给出明细；
|
|
||||||
<b>作废单（已取消，含发货前售后）不考核也不展示</b> —— 客户付款后取消的单仓库本就不该发。
|
|
||||||
</Text>
|
|
||||||
</header>
|
|
||||||
|
|
||||||
<Card className="wst-status" bordered={false}>
|
|
||||||
<div className="wst-status__row">
|
|
||||||
<div className="wst-status__round">
|
|
||||||
{hasRound ? (
|
|
||||||
<>
|
|
||||||
<span className="wst-status__badge">{round.label}</span>
|
|
||||||
<span className="wst-status__label">
|
|
||||||
核验今天 {cutoffText} 前审核的订单
|
|
||||||
</span>
|
|
||||||
<span className="wst-status__window">
|
|
||||||
含历史未发 · 到点未发即超时
|
|
||||||
{overrideText ? `（${overrideText} 为仓级例外）` : ''}
|
|
||||||
</span>
|
|
||||||
</>
|
|
||||||
) : (
|
|
||||||
<>
|
|
||||||
<span className="wst-status__badge wst-status__badge--idle">未到核验时间</span>
|
|
||||||
<span className="wst-status__label">
|
|
||||||
{nextRoundText} 开始首轮核验
|
|
||||||
（核验今天 {nextWindowEndText} 前审核的订单）
|
|
||||||
</span>
|
|
||||||
</>
|
|
||||||
)}
|
|
||||||
</div>
|
|
||||||
<Space size={8}>
|
|
||||||
{data?.generatedAt ? (
|
|
||||||
<Text type="secondary" className="wst-status__time">
|
|
||||||
数据更新于 {String(data.generatedAt).slice(11, 19)}
|
|
||||||
{data?.cached ? `（缓存 ${data.cacheAgeSec || 0}s，点刷新重查）` : ''}
|
|
||||||
</Text>
|
|
||||||
) : null}
|
|
||||||
<Button icon={<ReloadOutlined />} onClick={() => load(true)} loading={loading}>刷新</Button>
|
|
||||||
</Space>
|
|
||||||
</div>
|
|
||||||
</Card>
|
|
||||||
|
|
||||||
{error ? (
|
|
||||||
<Alert
|
|
||||||
type="error"
|
|
||||||
showIcon
|
|
||||||
className="wst-alert"
|
|
||||||
message={error}
|
|
||||||
action={<Button size="small" onClick={load}>重试</Button>}
|
|
||||||
/>
|
|
||||||
) : null}
|
|
||||||
|
|
||||||
{freshness && (freshness.stale || freshness.coversDeadline === false) ? (
|
|
||||||
<Alert
|
|
||||||
// 快照没覆盖到核验时刻 → 数字必然偏大，用红色；只是滞后用黄色
|
|
||||||
type={freshness.coversDeadline === false ? 'error' : 'warning'}
|
|
||||||
showIcon
|
|
||||||
className="wst-alert"
|
|
||||||
message={freshness.coversDeadline === false ? '数据未覆盖本轮核验时刻，超时单量偏大' : '发货数据可能滞后'}
|
|
||||||
description={freshness.hint}
|
|
||||||
/>
|
|
||||||
) : null}
|
|
||||||
|
|
||||||
<div className="wst-stats">
|
|
||||||
<Card bordered={false} className="wst-stat">
|
|
||||||
<Statistic
|
|
||||||
title={(
|
|
||||||
<Tooltip title="到 13:00 / 18:00 核验时刻仍未发货的订单（按审核时间分轮），不设满 24 小时门槛">
|
|
||||||
<span>超时未发货</span>
|
|
||||||
</Tooltip>
|
|
||||||
)}
|
|
||||||
value={notStarted ? 0 : (summary.overdueUnshipped ?? 0)}
|
|
||||||
suffix="单"
|
|
||||||
formatter={(v) => (notStarted ? '—' : number(v))}
|
|
||||||
valueStyle={{ color: (summary.overdueUnshipped || 0) > 0 ? '#cf1322' : undefined }}
|
|
||||||
/>
|
|
||||||
</Card>
|
|
||||||
<Card
|
|
||||||
bordered={false}
|
|
||||||
className="wst-stat wst-stat--held"
|
|
||||||
onClick={() => setHeldOpen(true)}
|
|
||||||
>
|
|
||||||
<Statistic
|
|
||||||
title={(
|
|
||||||
<Tooltip title="已支付待审核（还没审单，仓库没接到）和订单异常的单。这类单不进仓库考核，点开看明细。">
|
|
||||||
<span>不计考核 <span className="wst-stat__more">明细</span></span>
|
|
||||||
</Tooltip>
|
|
||||||
)}
|
|
||||||
value={notStarted ? 0 : (summary.heldCount ?? 0)}
|
|
||||||
suffix="单"
|
|
||||||
formatter={(v) => (notStarted ? '—' : number(v))}
|
|
||||||
valueStyle={{ color: (summary.heldCount || 0) > 0 ? '#8c8c8c' : undefined }}
|
|
||||||
/>
|
|
||||||
</Card>
|
|
||||||
<Card bordered={false} className="wst-stat">
|
|
||||||
<Statistic
|
|
||||||
title="涉及仓库"
|
|
||||||
value={notStarted ? 0 : (summary.overdueCenterCount ?? 0)}
|
|
||||||
suffix="个"
|
|
||||||
formatter={(v) => (notStarted ? '—' : number(v))}
|
|
||||||
/>
|
|
||||||
</Card>
|
|
||||||
<Card bordered={false} className="wst-stat">
|
|
||||||
<Statistic
|
|
||||||
title="最久未发货"
|
|
||||||
value={notStarted ? 0 : (summary.oldestDays ?? 0)}
|
|
||||||
suffix="天"
|
|
||||||
formatter={(v) => (notStarted ? '—' : number(v))}
|
|
||||||
valueStyle={{ color: (summary.oldestDays || 0) >= 7 ? '#d46b08' : undefined }}
|
|
||||||
/>
|
|
||||||
</Card>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<div className="wst-body">
|
|
||||||
<Card
|
|
||||||
bordered={false}
|
|
||||||
className="wst-centers"
|
|
||||||
title="仓储中心"
|
|
||||||
extra={<Text type="secondary" className="wst-centers__hint">点仓库看明细</Text>}
|
|
||||||
>
|
|
||||||
<Spin spinning={loading && !data} size="small">
|
|
||||||
<ul className="wst-centers__list">
|
|
||||||
{centers.map((c) => {
|
|
||||||
const isActive = activeCenter === c.key;
|
|
||||||
const disabled = c.placeholder || notStarted;
|
|
||||||
return (
|
|
||||||
<li key={c.key}>
|
|
||||||
<Tooltip
|
|
||||||
placement="right"
|
|
||||||
title={c.placeholder
|
|
||||||
? '系统仓库表中暂无同名仓，待上游建仓后自动接入'
|
|
||||||
: notStarted
|
|
||||||
? `今日 ${nextRoundText} 首轮核验开始后才展示超时数据`
|
|
||||||
: `${c.name}：本轮核验 ${String(c.windowEnd || '').slice(11, 16) || windowEndText} 前审核的单，`
|
|
||||||
+ `超时未发货 ${c.overdueUnshipped} 单`
|
|
||||||
+ `${c.oldestDays > 0 ? `（最久已等 ${c.oldestDays} 天）` : ''}`
|
|
||||||
+ `${c.heldCount > 0 ? `\n另有不计考核（待审核/异常）${c.heldCount} 单` : ''}`
|
|
||||||
+ (c.warehouseCount > 1 ? `\n含子仓 ${c.warehouseCount} 个` : '')}
|
|
||||||
>
|
|
||||||
<button
|
|
||||||
type="button"
|
|
||||||
className={[
|
|
||||||
'wst-center',
|
|
||||||
isActive ? 'is-active' : '',
|
|
||||||
!c.overdueUnshipped ? 'is-empty' : '',
|
|
||||||
disabled ? 'is-disabled' : '',
|
|
||||||
].filter(Boolean).join(' ')}
|
|
||||||
onClick={() => {
|
|
||||||
if (disabled) return;
|
|
||||||
setActiveCenter(isActive ? '' : c.key);
|
|
||||||
}}
|
|
||||||
>
|
|
||||||
<span className="wst-center__name">{c.name}</span>
|
|
||||||
{c.placeholder ? (
|
|
||||||
<span className="wst-center__badge wst-center__badge--none">未接入</span>
|
|
||||||
) : (
|
|
||||||
<span className={`wst-center__badge${c.overdueUnshipped > 0 ? ' is-warn' : ''}`}>
|
|
||||||
{notStarted ? '—' : (c.overdueUnshipped > 0 ? c.overdueUnshipped : '—')}
|
|
||||||
</span>
|
|
||||||
)}
|
|
||||||
</button>
|
|
||||||
</Tooltip>
|
|
||||||
</li>
|
|
||||||
);
|
|
||||||
})}
|
|
||||||
</ul>
|
|
||||||
</Spin>
|
|
||||||
</Card>
|
|
||||||
|
|
||||||
<Card
|
|
||||||
bordered={false}
|
|
||||||
className="wst-detail"
|
|
||||||
title={(
|
|
||||||
<span>
|
|
||||||
超时未发货订单
|
|
||||||
<span className="wst-detail__scope">
|
|
||||||
{activeCenterName || '全部仓库'} · {detailOrders.length} 单
|
|
||||||
{data?.truncated && detailOrders.length >= (data?.detailLimit || 0)
|
|
||||||
? `（已截断，仅显示前 ${data.detailLimit} 条）`
|
|
||||||
: ''}
|
|
||||||
</span>
|
|
||||||
</span>
|
|
||||||
)}
|
|
||||||
extra={activeCenter ? (
|
|
||||||
<button type="button" className="wst-detail__clear" onClick={() => setActiveCenter('')}>查看全部</button>
|
|
||||||
) : null}
|
|
||||||
>
|
|
||||||
<Spin spinning={loading && !data}>
|
|
||||||
{notStarted ? (
|
|
||||||
<Empty
|
|
||||||
image={Empty.PRESENTED_IMAGE_SIMPLE}
|
|
||||||
description={`未到核验时间，今日 ${nextRoundText} 开始首轮核验`}
|
|
||||||
/>
|
|
||||||
) : detailOrders.length ? (
|
|
||||||
<Table
|
|
||||||
rowKey={(r) => `${r.source}-${r.oId}`}
|
|
||||||
size="small"
|
|
||||||
pagination={{ pageSize: 20, size: 'small', showSizeChanger: false, showTotal: (t) => `共 ${t} 单` }}
|
|
||||||
dataSource={detailOrders}
|
|
||||||
columns={DETAIL_COLUMNS}
|
|
||||||
scroll={{ x: 1642 }}
|
|
||||||
/>
|
|
||||||
) : (
|
|
||||||
<Empty image={Empty.PRESENTED_IMAGE_SIMPLE} description="本轮没有超时未发货的订单" />
|
|
||||||
)}
|
|
||||||
</Spin>
|
|
||||||
</Card>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<Modal
|
|
||||||
title={`不计考核（待审核 / 异常）· ${heldOrders.length} 单`}
|
|
||||||
open={heldOpen}
|
|
||||||
onCancel={() => setHeldOpen(false)}
|
|
||||||
footer={null}
|
|
||||||
width={1080}
|
|
||||||
destroyOnClose
|
|
||||||
>
|
|
||||||
<Alert
|
|
||||||
type="info"
|
|
||||||
showIcon
|
|
||||||
className="wst-alert"
|
|
||||||
message="「已支付待审核」= 还没审单，仓库根本没接到；「订单异常」= 聚水潭标记异常（缺货/地址/风控等）。两类都不该算仓库超时，故单列于此。"
|
|
||||||
/>
|
|
||||||
{heldOrders.length ? (
|
|
||||||
<Table
|
|
||||||
rowKey={(r) => `${r.oId}`}
|
|
||||||
size="small"
|
|
||||||
pagination={{ pageSize: 10, size: 'small', showSizeChanger: false, showTotal: (t) => `共 ${t} 单` }}
|
|
||||||
dataSource={heldOrders}
|
|
||||||
columns={HELD_COLUMNS}
|
|
||||||
scroll={{ x: 1280 }}
|
|
||||||
/>
|
|
||||||
) : (
|
|
||||||
<Empty image={Empty.PRESENTED_IMAGE_SIMPLE} description="本轮没有待审核 / 异常的单" />
|
|
||||||
)}
|
|
||||||
</Modal>
|
|
||||||
|
|
||||||
<Text type="secondary" className="wst-foot">
|
|
||||||
说明：<b>今天 7:00 前审核</b>的订单 13:00 核验；<b>截止 16:00 前审核</b>的单 18:00 核验
|
|
||||||
（含 7 点前审核、13:00 还没发出的，也含今天之前审核至今未发的历史单）。
|
|
||||||
<b>到点仍未发货即超时</b>（不设「满 24 小时」门槛）；
|
|
||||||
轮次与「已等时长」都按审核时间（聚水潭显示值）算。
|
|
||||||
发货 = 聚水潭回传的发货时间。
|
|
||||||
<b>作废单不考核</b>（被合并 / 拆单父单 / 已取消，或订单表已有发货时间）
|
|
||||||
{summary.voidCount > 0 ? ` —— 本轮已自动剔除 ${summary.voidCount} 单` : ''}；
|
|
||||||
<b>自提 / 中铁 / 壹米滴答不考核</b>
|
|
||||||
{summary.carrierSkipped > 0 ? ` —— 本轮已剔除 ${summary.carrierSkipped} 单` : ''}；
|
|
||||||
已支付待审核、订单异常的单归入「不计考核」，避免冤枉仓库。
|
|
||||||
</Text>
|
|
||||||
</SycmPage>
|
|
||||||
);
|
|
||||||
}
|
|
||||||
|
|
||||||
export default WarehouseShipTimeliness;
|
|
||||||
@ -1,255 +0,0 @@
|
|||||||
.wst-page {
|
|
||||||
padding: 16px 20px 24px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-header {
|
|
||||||
margin-bottom: 14px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-header .ant-typography {
|
|
||||||
margin-bottom: 4px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-note {
|
|
||||||
display: block;
|
|
||||||
max-width: 1180px;
|
|
||||||
margin-top: 8px;
|
|
||||||
padding: 10px 14px;
|
|
||||||
/* 页面顶部是深色渐变，直接放浅色小字会看不清，给口径说明一块浅底 */
|
|
||||||
background: var(--sycm-bg-container);
|
|
||||||
border: 1px solid var(--sycm-border-color);
|
|
||||||
border-radius: 8px;
|
|
||||||
font-size: 12px;
|
|
||||||
line-height: 1.75;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ============ 轮次状态条 ============ */
|
|
||||||
.wst-status {
|
|
||||||
margin-bottom: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-status__row {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
justify-content: space-between;
|
|
||||||
gap: 12px;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-status__round {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
gap: 10px;
|
|
||||||
flex-wrap: wrap;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-status__badge {
|
|
||||||
padding: 1px 8px;
|
|
||||||
border-radius: 4px;
|
|
||||||
background: rgba(22, 119, 255, 0.12);
|
|
||||||
color: #0958d9;
|
|
||||||
font-size: 12px;
|
|
||||||
font-weight: 600;
|
|
||||||
line-height: 20px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-status__badge--idle {
|
|
||||||
background: rgba(136, 135, 128, 0.14);
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-status__label {
|
|
||||||
font-size: 13px;
|
|
||||||
color: var(--sycm-text-primary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-status__window,
|
|
||||||
.wst-status__time {
|
|
||||||
font-size: 12px;
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-alert {
|
|
||||||
margin-bottom: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ============ 统计卡 ============ */
|
|
||||||
/* 5 张卡（超时未出库 / 业务挂起 / 涉及仓库 / 最久未出库 / 合计金额）
|
|
||||||
用 grid 而不是 Row/Col：24 栅格除不尽 5，Row/Col 会把第 5 张挤到下一行。 */
|
|
||||||
.wst-stats {
|
|
||||||
display: grid;
|
|
||||||
grid-template-columns: repeat(4, minmax(0, 1fr));
|
|
||||||
gap: 12px;
|
|
||||||
margin-bottom: 12px;
|
|
||||||
}
|
|
||||||
|
|
||||||
@media (max-width: 1500px) {
|
|
||||||
.wst-stats { grid-template-columns: repeat(2, minmax(0, 1fr)); }
|
|
||||||
}
|
|
||||||
|
|
||||||
@media (max-width: 900px) {
|
|
||||||
.wst-stats { grid-template-columns: repeat(2, minmax(0, 1fr)); }
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-stat {
|
|
||||||
height: 100%;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* 「业务挂起」卡可点开明细 */
|
|
||||||
.wst-stat--held {
|
|
||||||
cursor: pointer;
|
|
||||||
transition: box-shadow 0.2s;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-stat--held:hover {
|
|
||||||
box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-stat__more {
|
|
||||||
font-size: 12px;
|
|
||||||
font-weight: 400;
|
|
||||||
color: #1677ff;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* ============ 主从两栏 ============ */
|
|
||||||
.wst-body {
|
|
||||||
display: flex;
|
|
||||||
align-items: flex-start;
|
|
||||||
gap: 14px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-centers {
|
|
||||||
flex: none;
|
|
||||||
width: 264px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-centers__hint {
|
|
||||||
font-size: 11px;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-centers__list {
|
|
||||||
margin: 0;
|
|
||||||
padding: 0;
|
|
||||||
list-style: none;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-center {
|
|
||||||
display: flex;
|
|
||||||
align-items: center;
|
|
||||||
justify-content: space-between;
|
|
||||||
gap: 8px;
|
|
||||||
width: 100%;
|
|
||||||
padding: 6px 8px;
|
|
||||||
margin-bottom: 2px;
|
|
||||||
border: 1px solid transparent;
|
|
||||||
border-radius: 6px;
|
|
||||||
background: transparent;
|
|
||||||
font-size: 13px;
|
|
||||||
text-align: left;
|
|
||||||
color: var(--sycm-text-primary);
|
|
||||||
cursor: pointer;
|
|
||||||
transition: background 0.12s ease;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-center:hover {
|
|
||||||
background: var(--sycm-bg-subtle);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-center.is-active {
|
|
||||||
border-color: rgba(22, 119, 255, 0.45);
|
|
||||||
background: rgba(22, 119, 255, 0.08);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-center.is-empty .wst-center__name {
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-center.is-disabled {
|
|
||||||
cursor: not-allowed;
|
|
||||||
opacity: 0.6;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-center__name {
|
|
||||||
overflow: hidden;
|
|
||||||
white-space: nowrap;
|
|
||||||
text-overflow: ellipsis;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-center__badge {
|
|
||||||
flex: none;
|
|
||||||
min-width: 24px;
|
|
||||||
padding: 0 6px;
|
|
||||||
border-radius: 9px;
|
|
||||||
background: rgba(136, 135, 128, 0.12);
|
|
||||||
font-size: 11px;
|
|
||||||
font-weight: 600;
|
|
||||||
line-height: 17px;
|
|
||||||
text-align: center;
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
font-variant-numeric: tabular-nums;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-center__badge.is-warn {
|
|
||||||
background: rgba(255, 77, 79, 0.16);
|
|
||||||
color: #cf1322;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-center__badge--none {
|
|
||||||
font-weight: 400;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-detail {
|
|
||||||
flex: 1 1 auto;
|
|
||||||
min-width: 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-detail__scope {
|
|
||||||
margin-left: 8px;
|
|
||||||
font-size: 12px;
|
|
||||||
font-weight: 400;
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-detail__clear {
|
|
||||||
padding: 0;
|
|
||||||
border: none;
|
|
||||||
background: transparent;
|
|
||||||
font-size: 12px;
|
|
||||||
color: #1677ff;
|
|
||||||
cursor: pointer;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-detail__overdue {
|
|
||||||
color: #cf1322;
|
|
||||||
font-variant-numeric: tabular-nums;
|
|
||||||
}
|
|
||||||
|
|
||||||
/* 创建时间没补到、回退成付款时间时的提示色（带 * 号，tooltip 有说明） */
|
|
||||||
.wst-detail__fallback {
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
font-style: italic;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-foot {
|
|
||||||
display: block;
|
|
||||||
margin-top: 12px;
|
|
||||||
font-size: 12px;
|
|
||||||
color: var(--sycm-text-tertiary);
|
|
||||||
}
|
|
||||||
|
|
||||||
/* 窄屏：仓库列表改为两列网格，明细整行下移 */
|
|
||||||
@media (max-width: 1200px) {
|
|
||||||
.wst-body {
|
|
||||||
flex-direction: column;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-centers {
|
|
||||||
width: 100%;
|
|
||||||
}
|
|
||||||
|
|
||||||
.wst-centers__list {
|
|
||||||
display: grid;
|
|
||||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
|
||||||
gap: 2px 10px;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
@ -19,11 +19,8 @@ const OpsBIncentiveBoard = lazy(() => import('../pages/PlanningUpload/OpsBIncent
|
|||||||
const ProductMonitoring = lazy(() => import('../pages/ProductMonitoring'));
|
const ProductMonitoring = lazy(() => import('../pages/ProductMonitoring'));
|
||||||
const ModularStockMonitor = lazy(() => import('../pages/ModularStockMonitor'));
|
const ModularStockMonitor = lazy(() => import('../pages/ModularStockMonitor'));
|
||||||
const MkhBomData = lazy(() => import('../pages/MkhBomData'));
|
const MkhBomData = lazy(() => import('../pages/MkhBomData'));
|
||||||
const WarehouseShipTimeliness = lazy(() => import('../pages/WarehouseShipTimeliness'));
|
|
||||||
const WarehouseLogisticsException = lazy(() => import('../pages/WarehouseLogisticsException'));
|
|
||||||
const DailyInventory = lazy(() => import('../pages/DailyInventory'));
|
const DailyInventory = lazy(() => import('../pages/DailyInventory'));
|
||||||
const StockSalesAnalysis = lazy(() => import('../pages/StockSalesAnalysis'));
|
const StockSalesAnalysis = lazy(() => import('../pages/StockSalesAnalysis'));
|
||||||
const PickingBinSalesAnalysis = lazy(() => import('../pages/PickingBinSalesAnalysis'));
|
|
||||||
const ReturnsInventoryMonitor = lazy(() => import('../pages/ReturnsInventoryWarning/Monitor'));
|
const ReturnsInventoryMonitor = lazy(() => import('../pages/ReturnsInventoryWarning/Monitor'));
|
||||||
|
|
||||||
const lazyLoadingElement = <PageLoadingFallback />;
|
const lazyLoadingElement = <PageLoadingFallback />;
|
||||||
@ -117,14 +114,6 @@ const router = createBrowserRouter([
|
|||||||
path: 'planning/operation/mkh-bom-data',
|
path: 'planning/operation/mkh-bom-data',
|
||||||
element: renderLazyComponent(MkhBomData),
|
element: renderLazyComponent(MkhBomData),
|
||||||
},
|
},
|
||||||
{
|
|
||||||
path: 'planning/operation/warehouse-ship-timeliness',
|
|
||||||
element: renderLazyComponent(WarehouseShipTimeliness),
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: 'planning/operation/warehouse-logistics-exception',
|
|
||||||
element: renderLazyComponent(WarehouseLogisticsException),
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
path: 'planning/operation/daily-inventory',
|
path: 'planning/operation/daily-inventory',
|
||||||
element: renderLazyComponent(DailyInventory),
|
element: renderLazyComponent(DailyInventory),
|
||||||
@ -133,15 +122,6 @@ const router = createBrowserRouter([
|
|||||||
path: 'planning/operation/stock-sales-analysis',
|
path: 'planning/operation/stock-sales-analysis',
|
||||||
element: renderLazyComponent(StockSalesAnalysis),
|
element: renderLazyComponent(StockSalesAnalysis),
|
||||||
},
|
},
|
||||||
{
|
|
||||||
path: 'planning/operation/picking-bin-sales-analysis',
|
|
||||||
element: renderLazyComponent(PickingBinSalesAnalysis),
|
|
||||||
},
|
|
||||||
// 缺货补货监控：拣货位缺货 → 从存货位补货
|
|
||||||
{
|
|
||||||
path: 'planning/operation/bin-replenish-monitor',
|
|
||||||
element: renderLazyComponent(BinReplenishMonitor),
|
|
||||||
},
|
|
||||||
// 客退数据监控（5 张看板共用同一个页面，靠 warehouseKey 区分取哪个仓；
|
// 客退数据监控（5 张看板共用同一个页面，靠 warehouseKey 区分取哪个仓；
|
||||||
// 单一「退货库存预警」视图，原 明细/超期/汇总/差异 四个页签已下线）
|
// 单一「退货库存预警」视图，原 明细/超期/汇总/差异 四个页签已下线）
|
||||||
{
|
{
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user