forked from lunanting/cangku
youruo
c358aff781
数据补充（全部来自数据库，无人工填数）： - 流水列接入 4/12：采购进仓（jst_purchase×Item，po_date，Confirmed/Finished）、 采购退货（jst_purchaseout×Item，io_date）、销售出仓（jst_Orders×OrderItem，send_date， 与周转率发货口径一致）、销售退货（jst_returnAndRefund×Item，as_date，实收 r_qty）。 其余 8 列业务库确无单据表（已核实全库表清单），保持「—」待 DBA 建表 - 期初快照缺失时自动兜底：优先用 rpt.pm_stockMonitor（报表库 01:00 跑批 T-1 库存， 按 dbWarehouse 聚合 jsStock，精确）；监控表没有的虚拟仓（运营专用/京东仓）用 实时库存扣自期初时刻以来的带符号流水回推（近似），推导结果补写快照逐日滚动 缺陷修复： - 合计行仓库名显示 NaN：isTotal 渲染分支拦截了所有列，'合计' 被强转数字； 现仓库名原样显示，无数据来源的流水列合计也显示「—」而非误导性 0 - 合计行：某列全部仓库均无数据时合计置空，避免 0 误读 新增 4 项单元测试（流水符号约定、参数展开、期初双路径推导）。
119 lines
4.3 KiB
JavaScript
119 lines
4.3 KiB
JavaScript
'use strict';
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/**
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* 每日进销存 —— 流水列取数（业务库原生口径）
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*
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* 业务库 JSReportReplica 能还原的 4 个流水列（其余 8 列缺单据表，保持「—」）：
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* 采购进仓(+): rpt.jst_purchase × jst_purchaseItem，按 po_date，状态 Confirmed/Finished，取明细 qty
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* （明细 inQty 全为 0 未同步，故用 qty）
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* 采购退货(−): rpt.jst_purchaseout × jst_purchaseoutItem，按 io_date
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* 销售出仓(−): rpt.jst_Orders × jst_OrderItem，按 send_date，排除 Delete/Cancelled
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* （与「库存周转天数」的发货口径一致；与聚水潭进销存导出的出库单口径有偏差，
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* 因为销售出库单明细数量在业务库未同步，无法精确还原）
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* 销售退货(+): rpt.jst_returnAndRefundInfo × jst_returnAndRefundItem，按 as_date，
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* 类型限定 普通退货/拒收退货/换货/维修，取明细 r_qty（实收数量；
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* qty 字段大多未同步，不能用）
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*
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* 符号约定与页面一致：流入为正、流出为负（前端负数标红）。
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* 因为还有 8 类单据（调拨/盘点/加工/其它出入库）在业务库无表，
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* 「期末 ≠ 期初 + 流水之和」，差值即缺失单据的影响。
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*/
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const FLOW_QUERIES = [
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{
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field: 'purchaseIn',
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sign: 1,
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sql: `
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SELECT p.wms_co_id AS wmsCoId,
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SUM(CAST(ISNULL(pi.qty, 0) AS DECIMAL(18, 2))) AS qty
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FROM rpt.jst_purchase p
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JOIN rpt.jst_purchaseItem pi ON pi.po_id = p.po_id
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WHERE p.wms_co_id IN (%WAREHOUSES%)
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AND p.po_date >= @from
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AND ISNULL(p.status, '') IN ('Confirmed', 'Finished')
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GROUP BY p.wms_co_id`,
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},
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{
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field: 'purchaseReturn',
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sign: -1,
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sql: `
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SELECT o.wms_co_id AS wmsCoId,
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SUM(CAST(ISNULL(oi.qty, 0) AS DECIMAL(18, 2))) AS qty
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FROM rpt.jst_purchaseout o
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JOIN rpt.jst_purchaseoutItem oi ON oi.io_id = o.io_id
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WHERE o.wms_co_id IN (%WAREHOUSES%)
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AND o.io_date >= @from
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GROUP BY o.wms_co_id`,
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},
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{
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field: 'salesOut',
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sign: -1,
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sql: `
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SELECT o.wms_co_id AS wmsCoId,
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SUM(CAST(ISNULL(oi.qty, 0) AS DECIMAL(18, 2))) AS qty
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FROM rpt.jst_Orders o
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JOIN rpt.jst_OrderItem oi ON oi.o_id = o.o_id
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WHERE o.wms_co_id IN (%WAREHOUSES%)
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AND o.send_date >= @from
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AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled')
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GROUP BY o.wms_co_id`,
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},
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{
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field: 'salesReturn',
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sign: 1,
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sql: `
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SELECT r.wms_co_id AS wmsCoId,
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SUM(CAST(ISNULL(ri.r_qty, 0) AS DECIMAL(18, 2))) AS qty
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FROM rpt.jst_returnAndRefundInfo r
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JOIN rpt.jst_returnAndRefundItem ri ON ri.as_id = r.as_id
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WHERE r.wms_co_id IN (%WAREHOUSES%)
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AND r.as_date >= @from
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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')
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GROUP BY r.wms_co_id`,
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},
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];
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/** mssql 不支持数组参数，按位展开成 @p0,@p1... */
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function buildInClause(values, prefix) {
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const params = {};
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const clause = values
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.map((v, i) => {
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params[`${prefix}${i}`] = v;
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return `@${prefix}${i}`;
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})
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.join(',');
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return { clause, params };
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}
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/** 业务库可还原的流水字段（带符号：流入 +1 / 流出 −1） */
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const AVAILABLE_FLOW_FIELDS = FLOW_QUERIES.map((q) => q.field);
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/**
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* 拉取自 fromText（含）以来各仓的流水合计。
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* @returns {Promise<Map<string, Object>>} key = wmsCoId 字符串，value = { purchaseIn, purchaseReturn, salesOut, salesReturn }（带符号，无记录的字段不出现）
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*/
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async function fetchFlows(cloudDb, wmsCoIds, fromText) {
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const map = new Map();
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if (!wmsCoIds.length || !fromText) return map;
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for (const q of FLOW_QUERIES) {
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const { clause, params } = buildInClause(wmsCoIds, 'w');
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const sqlText = q.sql.replace('%WAREHOUSES%', clause);
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const rows = await cloudDb.query(sqlText, { ...params, from: fromText }, { requestTimeout: 120000 });
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for (const r of rows) {
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const key = String(r.wmsCoId);
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const entry = map.get(key) || {};
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const qty = Number(r.qty) || 0;
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entry[q.field] = q.sign * qty;
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map.set(key, entry);
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}
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}
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return map;
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}
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module.exports = {
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AVAILABLE_FLOW_FIELDS,
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FLOW_QUERIES,
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fetchFlows,
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buildInClause,
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};
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