feat: 库存动销分析「销售=0」导出增加系统仓位列
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
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@ -243,6 +243,7 @@ router.get('/zero-sales-export', async (req, res) => {
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base?.warehouse || r.wmsCoId,
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r.skuId,
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r.skuName,
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r.binName,
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r.stockQty,
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r.salesQty,
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days,
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@ -257,7 +258,7 @@ router.get('/zero-sales-export', async (req, res) => {
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format,
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sheets: [{
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name: '销售=0明细',
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header: ['仓库', 'SKU编码', 'SKU名称', '库存数量', `销量(近${days}天)`, '统计天数', '统计基准日'],
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header: ['仓库', 'SKU编码', 'SKU名称', '系统仓位', '库存数量', `销量(近${days}天)`, '统计天数', '统计基准日'],
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rows: sheetRows,
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}],
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});
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@ -139,7 +139,9 @@ async function fetchGradeRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days }) {
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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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* @returns {Promise<Array<{wmsCoId:string, skuId:string, skuName:string, stockQty:number, salesQty:number}>>}
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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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@ -153,7 +155,21 @@ async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days
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const gradeCase = buildGradeCase();
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const sqlText = `
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WITH inv AS (
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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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@ -198,10 +214,12 @@ async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days
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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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@ -217,6 +235,7 @@ async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days
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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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@ -94,7 +94,8 @@ test('fetchZeroSaleSkuRows 复用同一分档口径并关联 SKU 名称', async
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query: async (sqlText, params) => {
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captured = { sqlText, params };
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return [
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{ wmsCoId: 101, skuId: 'SKU-A', skuName: '款式A', stockQty: 12, salesQty: 0 },
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{ wmsCoId: 101, skuId: 'SKU-A', skuName: '款式A', binName: 'A01-01-1、A02-03-1', stockQty: 12, salesQty: 0 },
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{ wmsCoId: 101, skuId: 'SKU-B', skuName: '款式B', binName: null, stockQty: 3, salesQty: 0 },
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];
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},
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};
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@ -105,11 +106,15 @@ test('fetchZeroSaleSkuRows 复用同一分档口径并关联 SKU 名称', async
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days: 30,
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});
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assert.equal(rows.length, 1);
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assert.equal(rows.length, 2);
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assert.equal(rows[0].wmsCoId, '101');
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assert.equal(rows[0].skuName, '款式A');
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assert.equal(rows[0].stockQty, 12);
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// 系统仓位：多仓位拼接成一个字符串，缺失时归一化为空串而不是 null
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assert.equal(rows[0].binName, 'A01-01-1、A02-03-1');
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assert.equal(rows[1].binName, '');
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// 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
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assert.ok(captured.sqlText.includes("ELSE 'zero'"));
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assert.ok(captured.sqlText.includes("g.gradeKey = 'zero'"));
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@ -117,4 +122,24 @@ test('fetchZeroSaleSkuRows 复用同一分档口径并关联 SKU 名称', async
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assert.ok(captured.sqlText.includes("NOT IN ('Delete', 'Cancelled')"));
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assert.equal(captured.params.w0, 101);
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assert.equal(captured.params.days, 30);
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// 系统仓位：来自 rpt.jst_packInventoryInfo，按仓库+SKU 聚合，排除无仓位与零库存记录
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assert.ok(captured.sqlText.includes('rpt.jst_packInventoryInfo'));
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assert.ok(captured.sqlText.includes('STRING_AGG'));
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assert.ok(captured.sqlText.includes('binName'));
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});
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test('fetchZeroSaleSkuRows 的仓位必须按同一仓库匹配，避免跨仓错配', async () => {
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let captured = null;
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const db = {
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query: async (sqlText) => {
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captured = sqlText;
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return [];
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},
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};
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await fetchZeroSaleSkuRows(db, [101], {
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shipFrom: '2026-08-28 01:00:00', shipTo: '2026-09-27 01:00:00', days: 30,
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});
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assert.ok(captured.includes('bn.wmsCoId = g.wmsCoId AND bn.skuId = g.skuId'));
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assert.ok(captured.includes("ISNULL(p.qty, 0) <> 0"));
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});
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@ -209,7 +209,7 @@ const StockSalesAnalysis = () => {
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<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）">
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<Button onClick={() => load({ days, force: true })} loading={loading}>强制重算</Button>
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</Tooltip>
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<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">
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<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；一个 SKU 占多个仓位时用「、」连接，仓位数据未覆盖的 SKU 留空">
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<Button icon={<DownloadOutlined />} onClick={handleExportZero} loading={exporting}>导出销售=0</Button>
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</Tooltip>
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</Space>
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