forked from lunanting/cangku
youruo
fc280bfe27
仓位用于定位滞销库存的实际存放位置，便于盘点与挪位处理。 数据源为 rpt.jst_packInventoryInfo.bin（jst_sku.bin 全部为空、库存表无仓位字段， 这是业务库唯一可得的系统仓位）： - 按 (wms_co_id, sku_id) 聚合，LTRIM 去空格后 DISTINCT，STRING_AGG 按名称排序用「、」连接 - 排除无仓位（bin 为空）与零库存（qty=0）的行，避免无效仓位干扰 - LEFT JOIN 且按「仓库+SKU」双条件匹配，避免跨仓错配 - 导出列顺序：仓库 | SKU编码 | SKU名称 | 系统仓位 | 库存数量 | 销量 | 统计天数 | 统计基准日 - 前端按钮提示同步说明多仓位拼接规则与留空含义 验证：后端 syntax 通过、单测 9/9（全量 389/390，唯一失败为既有 Windows 权限环境项）； 前端 eslint/build/测试均通过； 本地实测导出 3650 行，系统仓位列就位，3381 行有仓位（92.6%，未覆盖的 7.4% 为 仓位表仅含 13 个仓库所致），销量列全为 0，最长仓位串 600 字符（Excel 上限内）； 浏览器实测点击下载，文件名与列结构正确
250 lines
8.6 KiB
JavaScript
250 lines
8.6 KiB
JavaScript
'use strict';
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/**
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* 仓库库存动销分析 —— 业务库取数
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*
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* 一次查询覆盖全部仓库 × 全部动销等级：
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* 库存件数：rpt.jst_inventoryInfo 实时库存（按 wms_co_id + sku_id 汇总）
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* 销量： rpt.jst_OrderItem × rpt.jst_Orders，按 send_date，排除 Delete/Cancelled
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* （与「每日进销存」的发货口径一致）
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* 日销： 销量 / 统计窗口天数 → 分档得到动销等级
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*
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* 只统计「有库存或有销量」的 SKU：库存为 0 且窗口内无销量的 SKU 已下架，
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* 计入「销售=0」会虚增分母，故整体剔除。
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*/
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const { SALES_GRADE_RULES } = require('../config/stockSalesAnalysis');
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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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const key = `${prefix}${i}`;
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params[key] = v;
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return `@${key}`;
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})
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.join(',');
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return { clause, params };
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}
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/**
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* 日销分档表达式：从高档往低档依次命中。
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* 最后一档「销售=0」由 `salesQty <= 0` 兜底（销量为 NULL 视同 0）。
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*/
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function buildGradeCase(salesExpr = 'ISNULL(b.salesQty, 0)', daysParam = '@days') {
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const branches = SALES_GRADE_RULES
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.filter((rule) => rule.lower > 0)
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.map((rule) => {
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const daily = `(${salesExpr} / ${daysParam})`;
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const lower = `${daily} >= ${rule.lower}`;
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const upper = rule.upper == null ? null : `${daily} < ${rule.upper}`;
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const cond = upper ? `${lower} AND ${upper}` : lower;
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return `WHEN ${cond} THEN '${rule.key}'`;
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});
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return `
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CASE
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${branches.join('\n ')}
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WHEN ${salesExpr} > 0 THEN 'slow2'
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ELSE 'zero'
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END`;
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}
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/**
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* 每个仓库 × 每个动销等级的 SKU 数、库存件数、销量。
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* @returns {Promise<Array<{wmsCoId:string, gradeKey:string, skuCount:number, stockQty:number, salesQty:number, dailySales:number}>>}
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*/
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async function fetchGradeRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days }) {
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if (!cloudDb || typeof cloudDb.query !== 'function') {
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throw new TypeError('fetchGradeRows 的第一个参数必须是业务库实例');
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}
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if (!Array.isArray(wmsCoIds) || wmsCoIds.length === 0) return [];
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if (!shipFrom || !shipTo || !days) return [];
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const invIn = buildInClause(wmsCoIds, 'w');
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const shipIn = buildInClause(wmsCoIds, 'v');
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const gradeCase = buildGradeCase();
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const sqlText = `
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WITH inv AS (
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SELECT i.wms_co_id AS wmsCoId,
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i.sku_id AS skuId,
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SUM(CAST(ISNULL(i.qty, 0) AS DECIMAL(18, 2))) AS stockQty
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FROM rpt.jst_inventoryInfo i
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WHERE i.wms_co_id IN (${invIn.clause})
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GROUP BY i.wms_co_id, i.sku_id
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),
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ship AS (
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SELECT o.wms_co_id AS wmsCoId,
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oi.sku_id AS skuId,
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SUM(CAST(ISNULL(oi.qty, 0) AS DECIMAL(18, 2))) AS salesQty
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FROM rpt.jst_OrderItem oi
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JOIN rpt.jst_Orders o ON o.o_id = oi.o_id
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WHERE o.wms_co_id IN (${shipIn.clause})
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AND o.send_date >= @shipFrom
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AND o.send_date < @shipTo
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AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled')
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GROUP BY o.wms_co_id, oi.sku_id
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),
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base AS (
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SELECT u.wmsCoId,
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u.skuId,
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SUM(u.stockQty) AS stockQty,
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SUM(u.salesQty) AS salesQty
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FROM (
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SELECT wmsCoId, skuId, stockQty, CAST(0 AS DECIMAL(18, 2)) AS salesQty FROM inv
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UNION ALL
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SELECT wmsCoId, skuId, CAST(0 AS DECIMAL(18, 2)) AS stockQty, salesQty FROM ship
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) u
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GROUP BY u.wmsCoId, u.skuId
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),
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graded AS (
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SELECT b.wmsCoId,
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b.stockQty,
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b.salesQty,
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${gradeCase} AS gradeKey
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FROM base b
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WHERE ABS(ISNULL(b.stockQty, 0)) > 0.0001
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OR ABS(ISNULL(b.salesQty, 0)) > 0.0001
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)
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SELECT g.wmsCoId,
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g.gradeKey,
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COUNT(*) AS skuCount,
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CAST(SUM(ISNULL(g.stockQty, 0)) AS DECIMAL(18, 2)) AS stockQty,
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CAST(SUM(ISNULL(g.salesQty, 0)) AS DECIMAL(18, 2)) AS salesQty,
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CAST(SUM(ISNULL(g.salesQty, 0) / @days) AS DECIMAL(18, 4)) AS dailySales
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FROM graded g
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GROUP BY g.wmsCoId, g.gradeKey`;
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const rows = await cloudDb.query(sqlText, {
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...invIn.params,
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...shipIn.params,
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shipFrom,
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shipTo,
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days,
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}, { requestTimeout: 180000 });
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return rows.map((r) => ({
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wmsCoId: String(r.wmsCoId),
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gradeKey: String(r.gradeKey),
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skuCount: Number(r.skuCount) || 0,
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stockQty: Number(r.stockQty) || 0,
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salesQty: Number(r.salesQty) || 0,
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dailySales: Number(r.dailySales) || 0,
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}));
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}
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/**
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* 「销售=0」档的 SKU 级明细（导出用）。
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* 口径与 fetchGradeRows 完全一致：同一分档表达式命中 gradeKey='zero'，
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* 即统计窗口内销量 <= 0 且「有库存或有销量」的 SKU。
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* 系统仓位取自 rpt.jst_packInventoryInfo.bin（一个 SKU 可能占多个仓位，按名称排序后用「、」连接；
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* 库存为 0 的仓位记录已排除）。该表只覆盖部分仓库，未覆盖到的 SKU 返回空串。
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* @returns {Promise<Array<{wmsCoId:string, skuId:string, skuName:string, binName:string, stockQty:number, salesQty:number}>>}
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*/
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async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days }) {
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if (!cloudDb || typeof cloudDb.query !== 'function') {
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throw new TypeError('fetchZeroSaleSkuRows 的第一个参数必须是业务库实例');
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}
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if (!Array.isArray(wmsCoIds) || wmsCoIds.length === 0) return [];
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if (!shipFrom || !shipTo || !days) return [];
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const invIn = buildInClause(wmsCoIds, 'w');
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const shipIn = buildInClause(wmsCoIds, 'v');
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const gradeCase = buildGradeCase();
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const sqlText = `
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WITH bin AS (
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SELECT d.wmsCoId,
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d.skuId,
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STRING_AGG(CAST(d.b AS NVARCHAR(MAX)), '、') WITHIN GROUP (ORDER BY d.b) AS binName
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FROM (
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SELECT DISTINCT p.wms_co_id AS wmsCoId,
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p.sku_id AS skuId,
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LTRIM(RTRIM(p.bin)) AS b
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FROM rpt.jst_packInventoryInfo p
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WHERE ISNULL(p.bin, '') <> ''
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AND ISNULL(p.qty, 0) <> 0
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) d
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GROUP BY d.wmsCoId, d.skuId
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),
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inv AS (
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SELECT i.wms_co_id AS wmsCoId,
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i.sku_id AS skuId,
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SUM(CAST(ISNULL(i.qty, 0) AS DECIMAL(18, 2))) AS stockQty
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FROM rpt.jst_inventoryInfo i
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WHERE i.wms_co_id IN (${invIn.clause})
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GROUP BY i.wms_co_id, i.sku_id
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),
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ship AS (
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SELECT o.wms_co_id AS wmsCoId,
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oi.sku_id AS skuId,
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SUM(CAST(ISNULL(oi.qty, 0) AS DECIMAL(18, 2))) AS salesQty
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FROM rpt.jst_OrderItem oi
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JOIN rpt.jst_Orders o ON o.o_id = oi.o_id
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WHERE o.wms_co_id IN (${shipIn.clause})
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AND o.send_date >= @shipFrom
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AND o.send_date < @shipTo
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AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled')
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GROUP BY o.wms_co_id, oi.sku_id
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),
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base AS (
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SELECT u.wmsCoId,
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u.skuId,
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SUM(u.stockQty) AS stockQty,
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SUM(u.salesQty) AS salesQty
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FROM (
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SELECT wmsCoId, skuId, stockQty, CAST(0 AS DECIMAL(18, 2)) AS salesQty FROM inv
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UNION ALL
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SELECT wmsCoId, skuId, CAST(0 AS DECIMAL(18, 2)) AS stockQty, salesQty FROM ship
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) u
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GROUP BY u.wmsCoId, u.skuId
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),
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graded AS (
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SELECT b.wmsCoId,
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b.skuId,
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b.stockQty,
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b.salesQty,
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${gradeCase} AS gradeKey
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FROM base b
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WHERE ABS(ISNULL(b.stockQty, 0)) > 0.0001
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OR ABS(ISNULL(b.salesQty, 0)) > 0.0001
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)
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SELECT g.wmsCoId,
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g.skuId,
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ISNULL(s.name, '') AS skuName,
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ISNULL(bn.binName, '') AS binName,
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CAST(g.stockQty AS DECIMAL(18, 2)) AS stockQty,
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CAST(g.salesQty AS DECIMAL(18, 2)) AS salesQty
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FROM graded g
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LEFT JOIN rpt.jst_sku s ON s.sku_id = g.skuId
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LEFT JOIN bin bn ON bn.wmsCoId = g.wmsCoId AND bn.skuId = g.skuId
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WHERE g.gradeKey = 'zero'
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ORDER BY g.wmsCoId, g.stockQty DESC, g.skuId`;
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const rows = await cloudDb.query(sqlText, {
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...invIn.params,
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...shipIn.params,
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shipFrom,
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shipTo,
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days,
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}, { requestTimeout: 180000 });
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return rows.map((r) => ({
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wmsCoId: String(r.wmsCoId),
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skuId: String(r.skuId ?? ''),
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skuName: r.skuName == null ? '' : String(r.skuName),
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binName: r.binName == null ? '' : String(r.binName),
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stockQty: Number(r.stockQty) || 0,
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salesQty: Number(r.salesQty) || 0,
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}));
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}
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module.exports = {
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buildInClause,
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buildGradeCase,
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fetchGradeRows,
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fetchZeroSaleSkuRows,
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};
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