fix: 缺货补货监控改为「崔桥主仓·仅当日待补」并修正指标
- 看板只展示当日待补 SKU（待发订单>拣货位库存，需存储→拣货补货），去除充足/无待发干扰行 - 库存收紧到崔桥工厂仓主仓（jst_packInventoryInfo 加 wh_id=1），数据源对齐「箱及仓位库存·主仓」 - 补齐「有打单拣货待发单但货位库存视图无记录」的 SKU（拣货位为0也应进待补明细） - 指标卡改为四项：实时代发订单数 / 拣货库存数 / 存储库存数 / 缺货数（缺货=待补SKU数，脚注含存储不足子项） - 各库底待补明细=need+short 行；范围筛「待补货/仅缺货」；移除多仓选择器，固定崔桥 - 待发订单仍取 op_OrderNotDispatched 打单拣货/发货中 每日快照（两步 querySlow） - 副本实测：当日快照待补 45 SKU（need42/short3），待发132件/拣货40件/存储2381件/缺口5件
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@ -49,7 +49,7 @@ router.get('/export', async (req, res, next) => {
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keyword: req.query.keyword,
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status: req.query.status,
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});
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const fileName = `${payload.warehouse.shortName}缺货补货监控_待发订单`;
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const fileName = `${payload.warehouse.shortName}待补明细`;
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sendWorkbookDownload(res, {
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fileName,
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@ -155,10 +155,40 @@ async function loadReplicaInventory(warehouse) {
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FROM rpt.jst_packInventoryInfo p
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LEFT JOIN rpt.jst_sku s ON s.sku_id = p.sku_id
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WHERE p.wms_co_id = @wmsCoId
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AND p.wh_id = 1
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AND ISNULL(p.bin, '') <> ''
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AND UPPER(LEFT(LTRIM(p.bin), 2)) IN (${PICK_PREFIX_IN}, ${STORE_PREFIX_IN})
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GROUP BY p.sku_id`;
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return cloudDb.query(sql, { wmsCoId: warehouse.wmsCoId }, { requestTimeout: 600000 });
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// 单仓按货位前缀聚合约 1.7s；走 querySlow（独立连接 + 池级超时）避免 60s 池超时误杀。
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return cloudDb.querySlow(sql, { wmsCoId: warehouse.wmsCoId }, { requestTimeout: 300000 });
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}
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/**
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* 批量取 SKU 主数据（品名 / 供应商），用于补齐「有订单但无货位库存」的 SKU 名称。
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* 这批 SKU 不在库存视图里，但确实有打单拣货待发单，必须进待补明细。
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*/
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async function loadSkuNames(skuIds) {
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const uniq = [...new Set((skuIds || []).filter(Boolean).map((id) => toText(id, 120)))];
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if (!uniq.length) return new Map();
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const map = new Map();
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const CHUNK = 400;
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for (let i = 0; i < uniq.length; i += CHUNK) {
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const chunk = uniq.slice(i, i + CHUNK);
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const params = {};
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const ph = chunk.map((_, idx) => `@s${idx}`).join(',');
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chunk.forEach((id, idx) => { params[`s${idx}`] = id; });
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const rows = await cloudDb.querySlow(
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`SELECT sku_id AS skuId, name AS productName, supplier_name AS supplier
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FROM rpt.jst_sku WHERE sku_id IN (${ph})`,
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params,
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{ requestTimeout: 120000 }
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);
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(rows || []).forEach((r) => {
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const id = toText(r.skuId, 120);
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if (id) map.set(id, { productName: toText(r.productName, 300), supplier: toText(r.supplier, 120) });
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});
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}
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return map;
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}
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/**
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@ -258,40 +288,43 @@ function buildSkuRows({ invRows, orderMap }) {
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return rows;
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}
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function buildSummary(rows, orderSkuCount) {
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/**
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* 汇总只统计「待补」SKU（need / short）——
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* 即需要从存储仓位补货到拣货仓位的部分。对应看板四张指标卡：
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* 实时代发订单数 = 待补 SKU 待发件数合计
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* 拣货库存数 = 待补 SKU 拣货位库存合计
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* 存储库存数 = 待补 SKU 存储位库存合计
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* 缺货数 = 存储也补不齐的 SKU 数（status=short）
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*/
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function buildSummary(rows) {
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const summary = {
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skuTotal: rows.length,
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skuTotal: 0,
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need: 0,
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short: 0,
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enough: 0,
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noOrder: 0,
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pickEmpty: 0,
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suggestQtyTotal: 0,
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orderSkuCount: orderSkuCount || 0,
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orderQtyTotal: 0,
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exceedTotal: 0,
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shortfallTotal: 0,
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pickTotal: 0,
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storageTotal: 0,
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suggestQtyTotal: 0,
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exceedTotal: 0,
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shortfallTotal: 0,
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};
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const STATUS_SUM_KEY = { need: 'need', short: 'short', enough: 'enough', no_order: 'noOrder' };
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rows.forEach((row) => {
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const key = STATUS_SUM_KEY[row.status];
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if (key && summary[key] !== undefined) summary[key] += 1;
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summary.suggestQtyTotal += row.suggestQty || 0;
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summary.skuTotal += 1;
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if (row.status === STATUS.NEED) summary.need += 1;
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else if (row.status === STATUS.SHORT) summary.short += 1;
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summary.orderQtyTotal += row.orderQty || 0;
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summary.exceedTotal += row.excess || 0;
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summary.shortfallTotal += row.shortfall || 0;
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summary.pickTotal += row.pickQty || 0;
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summary.storageTotal += row.storageQty || 0;
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if (row.pickEmpty) summary.pickEmpty += 1;
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summary.suggestQtyTotal += row.suggestQty || 0;
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summary.exceedTotal += row.excess || 0;
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summary.shortfallTotal += row.shortfall || 0;
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});
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summary.suggestQtyTotal = round2(summary.suggestQtyTotal);
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summary.orderQtyTotal = round2(summary.orderQtyTotal);
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summary.exceedTotal = round2(summary.exceedTotal);
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summary.shortfallTotal = round2(summary.shortfallTotal);
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summary.pickTotal = round2(summary.pickTotal);
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summary.storageTotal = round2(summary.storageTotal);
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summary.suggestQtyTotal = round2(summary.suggestQtyTotal);
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summary.exceedTotal = round2(summary.exceedTotal);
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summary.shortfallTotal = round2(summary.shortfallTotal);
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return summary;
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}
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@ -311,7 +344,22 @@ async function loadDataset(warehouse, { refresh = false } = {}) {
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loadPendingOrderMap(warehouse).catch(() => new Map()),
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]);
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const rows = buildSkuRows({ invRows, orderMap });
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// 把「有打单拣货待发单、但货位库存视图里没有记录」的 SKU 也补进明细，
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// 否则这批最该补货（拣货位为 0）的行会被漏掉。
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const invKeys = new Set((invRows || []).map((r) => toText(r.skuId, 120)));
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const orderOnly = [...orderMap.keys()]
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.filter((k) => !invKeys.has(k))
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.map((k) => ({ skuId: k, pickQty: 0, storageQty: 0, productName: null, supplier: null }));
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const combined = (invRows || []).concat(orderOnly);
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if (orderOnly.length) {
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const nameMap = await loadSkuNames(orderOnly.map((r) => r.skuId));
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orderOnly.forEach((r) => {
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const n = nameMap.get(r.skuId);
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if (n) { r.productName = n.productName; r.supplier = n.supplier; }
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});
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}
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const rows = buildSkuRows({ invRows: combined, orderMap });
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const dataset = {
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at: now,
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@ -334,15 +382,6 @@ function invalidateCache(warehouseKey) {
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else cacheStore.clear();
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}
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function matchesStatus(row, status) {
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const key = toText(status, 20).toLowerCase();
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if (!key || key === 'all') return true;
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if (key === 'action' || key === 'todo' || key === 'replenish') {
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return row.status === STATUS.NEED || row.status === STATUS.SHORT;
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}
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return row.status === key;
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}
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function sortRows(rows) {
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return rows.slice().sort((a, b) => (
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(STATUS_RANK[b.status] || 0) - (STATUS_RANK[a.status] || 0)
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@ -352,10 +391,19 @@ function sortRows(rows) {
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));
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}
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function filterRows(rows, { keyword, status }) {
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/**
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* 只看「待补」数据：需要从存储仓位补货到拣货仓位的 SKU（need / short）。
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* status='short' 时仅保留存储不足（缺货）的 SKU。
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*/
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function filterReplenish(rows, { keyword, status }) {
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const kw = toText(keyword, 120).toLowerCase();
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const onlyShort = toText(status, 12).toLowerCase() === 'short';
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return rows.filter((row) => {
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if (!matchesStatus(row, status)) return false;
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if (onlyShort) {
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if (row.status !== STATUS.SHORT) return false;
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} else if (row.status !== STATUS.NEED && row.status !== STATUS.SHORT) {
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return false;
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}
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if (!kw) return true;
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return row.skuId.toLowerCase().includes(kw)
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|| String(row.productName || '').toLowerCase().includes(kw)
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@ -366,15 +414,16 @@ function filterRows(rows, { keyword, status }) {
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async function getReplenishList(options = {}) {
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const warehouse = resolveWarehouse(options.warehouse);
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const dataset = await loadDataset(warehouse, { refresh: String(options.refresh) === 'true' });
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const filtered = sortRows(filterRows(dataset.rows, options));
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const summary = buildSummary(dataset.rows, dataset.meta.orderSkuCount);
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const replenished = filterReplenish(dataset.rows, options);
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const sorted = sortRows(replenished);
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const summary = buildSummary(replenished);
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const page = Math.max(1, Number.parseInt(options.page, 10) || 1);
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const pageSize = Math.min(MAX_PAGE_SIZE, Math.max(1, Number.parseInt(options.pageSize, 10) || 50));
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const start = (page - 1) * pageSize;
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return {
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rows: filtered.slice(start, start + pageSize),
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total: filtered.length,
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rows: sorted.slice(start, start + pageSize),
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total: sorted.length,
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page,
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pageSize,
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summary,
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@ -390,11 +439,12 @@ async function getReplenishList(options = {}) {
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async function getReplenishExportRows(options = {}) {
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const warehouse = resolveWarehouse(options.warehouse);
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const dataset = await loadDataset(warehouse, { refresh: String(options.refresh) === 'true' });
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const replenished = filterReplenish(dataset.rows, options);
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return {
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warehouse,
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orderScope: PENDING_ORDER_SCOPE,
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rows: sortRows(filterRows(dataset.rows, options)),
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summary: buildSummary(dataset.rows, dataset.meta.orderSkuCount),
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rows: sortRows(replenished),
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summary: buildSummary(replenished),
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};
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}
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@ -1,6 +1,6 @@
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import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react';
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import {
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Alert, Button, Empty, Input, Segmented, Select, Spin, Table, Tag, Tooltip,
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Alert, Button, Empty, Input, Segmented, Spin, Table, Tag, Tooltip,
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message,
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} from 'antd';
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import {
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@ -24,10 +24,7 @@ const STATUS_TAGS = {
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const STATUS_OPTIONS = [
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{ label: '待补货', value: 'replenish' },
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{ label: '存储不足', value: 'short' },
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{ label: '拣货位充足', value: 'enough' },
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{ label: '无待发单', value: 'no_order' },
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{ label: '全部', value: 'all' },
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{ label: '仅缺货', value: 'short' },
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];
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const BinReplenishMonitor = () => {
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@ -99,40 +96,40 @@ const BinReplenishMonitor = () => {
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const metrics = useMemo(() => ([
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{
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key: 'replenish',
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tone: 'red',
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label: '待补货 SKU',
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value: needCount,
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unit: '个',
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foot: `建议补货合计 ${num(summary.suggestQtyTotal)} 件`,
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tip: '待发订单量 > 拣货位库存：拣货位不够待发订单拣，需要从存储位把货补过来',
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key: 'order',
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tone: 'blue',
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label: '实时代发订单数',
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value: summary.orderQtyTotal || 0,
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unit: '件',
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foot: `待补 ${num(summary.skuTotal)} 个 SKU`,
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tip: '待补 SKU 的待发订单件数合计（取聚水潭「打单拣货 → 发货中」每日快照，组合装已展开为子件；不含已发/异常/待审核）',
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},
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{
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key: 'pick',
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tone: 'green',
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label: '拣货库存数',
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value: summary.pickTotal || 0,
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unit: '件',
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foot: '待补 SKU 拣货位库存',
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tip: '待补 SKU 在 XA / XD / XE 拣货位上的库存合计（库存取自聚水潭「箱及仓位库存 · 简尚-崔桥工厂仓 主仓」）',
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},
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{
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key: 'store',
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tone: 'orange',
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label: '存储库存数',
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value: summary.storageTotal || 0,
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unit: '件',
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foot: '待补 SKU 存储位库存',
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tip: '待补 SKU 在 XX / X9 / X5 / X4 存储位上的库存合计（同上来源，主仓）',
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},
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{
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key: 'short',
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tone: 'grey',
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label: '其中存储不足',
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value: summary.short || 0,
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tone: 'red',
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label: '缺货数',
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value: summary.skuTotal || 0,
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unit: '个',
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foot: `存储缺口 ${num(summary.shortfallTotal)} 件`,
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tip: '拣货位缺货，且存储位也不够补（存储缺口 > 0）：光靠库内调拨补不齐，需要采购 / 紧急调拨',
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},
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{
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key: 'exceed',
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tone: 'orange',
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label: '超出订单数合计',
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value: summary.exceedTotal || 0,
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unit: '件',
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foot: '待发拣货位缺口订单量',
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tip: '所有待补货 SKU 的「待发订单量 − 拣货位库存」之和：这是需要从存储位搬到拣货位的总量',
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},
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{
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key: 'order',
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tone: 'blue',
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label: '有待发单 SKU',
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value: summary.orderSkuCount || 0,
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unit: '个',
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foot: `待发订单量 ${num(summary.orderQtyTotal)} 件`,
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tip: '有待发订单的商品种类数（取聚水潭「打单拣货/发货中」快照，组合装已展开为子件；不含已发/异常/待审核）',
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foot: `其中存储不足 ${num(summary.short)} 个，缺口 ${num(summary.shortfallTotal)} 件`,
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tip: '需要从存储位补到拣货位的 SKU 数（待发订单量 > 拣货位库存）；其中存储位也补不齐的标为「缺货」，需采购 / 紧急调拨',
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},
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]), [summary, needCount]);
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@ -238,8 +235,9 @@ const BinReplenishMonitor = () => {
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<div className="brp-hero__main">
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<h1 className="brp-hero__title">缺货补货监控</h1>
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<p className="brp-hero__desc">
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盯的是<b>拣货位</b>：待发订单如果需要拣的货超过拣货位库存，超出的那部分就要从<b>存储位</b>补到拣货位。
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库存取自聚水潭「箱及仓位库存」，订单只统计<b>待发</b>（已发货的不再计入，因为货已经发出、不再消耗拣货位）。
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本看板只盯<b>崔桥工厂仓（主仓）</b>的<b>当日待补</b>数据：也就是那些待发订单超过拣货位库存、
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需要把货从<b>存储位</b>补到<b>拣货位</b>的 SKU。订单取自聚水潭「打单拣货 → 简尚-崔桥工厂仓」的发货中单据，
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库存取自聚水潭「箱及仓位库存 → 简尚-崔桥工厂仓 主仓」。<b>已发货的不再计入</b>（货已发出、不再消耗拣货位）。
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</p>
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</div>
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<div className="brp-hero__meta">
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@ -254,7 +252,7 @@ const BinReplenishMonitor = () => {
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{data.cacheHit ? <span className="brp-muted">（缓存）</span> : null}
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</div>
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<div>
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共 <b>{num(summary.skuTotal)}</b> 个 SKU，其中无待发单 <b>{num(summary.noOrder)}</b> 个
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共 <b>{num(summary.skuTotal)}</b> 个待补 SKU，其中存储不足（缺货）<b>{num(summary.short)}</b> 个
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</div>
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</div>
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</div>
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@ -280,15 +278,7 @@ const BinReplenishMonitor = () => {
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<div className="brp-toolbar">
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<span className="brp-toolbar__field">
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<span className="brp-toolbar__label">仓库</span>
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<Select
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value={warehouse}
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onChange={(value) => { setWarehouse(value); setPage(1); }}
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style={{ width: 210 }}
|
||||
options={(data.warehouses || []).map((item) => ({
|
||||
value: item.key,
|
||||
label: item.name,
|
||||
}))}
|
||||
/>
|
||||
<span className="brp-toolbar__static">简尚-崔桥工厂仓（主仓）</span>
|
||||
</span>
|
||||
<span className="brp-toolbar__field">
|
||||
<span className="brp-toolbar__label">范围</span>
|
||||
@ -299,11 +289,7 @@ const BinReplenishMonitor = () => {
|
||||
...item,
|
||||
label: item.value === 'replenish'
|
||||
? `${item.label} ${num(needCount)}`
|
||||
: item.value === 'short'
|
||||
? `${item.label} ${num(summary.short || 0)}`
|
||||
: item.value === 'no_order'
|
||||
? `${item.label} ${num(summary.noOrder || 0)}`
|
||||
: item.label,
|
||||
: `${item.label} ${num(summary.short || 0)}`,
|
||||
}))}
|
||||
/>
|
||||
</span>
|
||||
@ -331,10 +317,11 @@ const BinReplenishMonitor = () => {
|
||||
type="info"
|
||||
showIcon
|
||||
className="brp-alert"
|
||||
message="货位口径（崔桥工厂仓约定）"
|
||||
message="货位口径（崔桥工厂仓 主仓约定）"
|
||||
description={(
|
||||
<span>
|
||||
拣货库位以 <b>XA / XD / XE</b> 开头，存储库位以 <b>XX / X9 / X5 / X4</b> 开头；其余货位（DB / Y* / Z* 等，占比极小）不计入。
|
||||
库存只取 <b>崔桥工厂仓主仓（wh_id=1）</b>；拣货库位以 <b>XA / XD / XE</b> 开头，存储库位以 <b>XX / X9 / X5 / X4</b> 开头；
|
||||
其余货位（DB / Y* / Z* 等，占比极小）不计入。
|
||||
判断规则：<b>待发订单量 > 拣货位库存</b> 时，超出的订单数 = 需要从存储位补到拣货位的量（上限为存储位现有库存）。
|
||||
</span>
|
||||
)}
|
||||
@ -390,26 +377,30 @@ const BinReplenishMonitor = () => {
|
||||
<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（sku_id）聚合。
|
||||
「拣货位库存」= 货位号以 XA/XD/XE 开头的库存合计；「存储位库存」= 货位号以 XX/X9/X5/X4 开头的库存合计。
|
||||
<b>库存</b>：聚水潭「箱及仓位库存 → 简尚-崔桥工厂仓 主仓」（rpt.jst_packInventoryInfo，仅 <b>wh_id=1 主仓</b>），
|
||||
按商品编码（sku_id）聚合。「拣货位库存」= 货位号以 XA/XD/XE 开头的库存合计；
|
||||
「存储位库存」= 货位号以 XX/X9/X5/X4 开头的库存合计。
|
||||
</li>
|
||||
<li>
|
||||
<b>订单</b>：直接取聚水潭「<b>打单拣货 → 发货中</b>」快照 = rpt.op_OrderNotDispatched（该仓<b>最新快照日</b>、status=发货中），
|
||||
SKU 级、组合装已展开为子件。这就是你在聚水潭「打单拣货 · 简尚崔桥工厂仓」看到的待发单据。
|
||||
<b>已发货(Sent)、异常挂起、已付款待审核、待付款均不计入</b>——货已发出或短期不会拣，不该驱动补货。
|
||||
口径仅覆盖<b>聚水潭线上店铺渠道</b>（运营中心 / 分销等），<b>不含全民(qmcust) B2B 客户单</b>——与旧「按 send_date 窗口统计当日订单」口径不同，属预期收窄。
|
||||
<b>订单</b>：直接取聚水潭「<b>打单拣货 → 简尚-崔桥工厂仓</b>」的发货中单据快照 = rpt.op_OrderNotDispatched
|
||||
（该仓<b>最新快照日</b>、status=发货中），SKU 级、组合装已展开为子件。
|
||||
<b>已发货 / 异常挂起 / 已付款待审核 / 待付款均不计入</b>——货已发出或短期不会拣，不该驱动补货。
|
||||
口径仅覆盖<b>聚水潭线上店铺渠道</b>（运营中心 / 分销等），<b>不含全民(qmcust) B2B 客户单</b>。
|
||||
</li>
|
||||
<li>
|
||||
<b>判断规则</b>：对每个 SKU，若 <b>待发订单量 > 拣货位库存</b>，超出的订单数即「需要从存储位补到拣货位」的量；
|
||||
「建议补货量」= min(超出订单数, 存储位库存)。存储位也不够时标记「存储不足」，缺口需采购 / 紧急调拨。
|
||||
<b>看板范围</b>：本看板<b>只显示当日待补</b> SKU —— 即「待发订单量 > 拣货位库存」、需要从存储位补到拣货位的这部分
|
||||
（含拣货位为 0、库存视图里查不到但有打单拣货待发单的 SKU）。其余「拣货位充足 / 无待发单」的 SKU 不进本看板。
|
||||
</li>
|
||||
<li>
|
||||
<b>统计范围</b>：取该仓<b>最新一天的「打单拣货」快照</b>（ETL 约每日 07:00 刷新），即当前待拣/待发订单；
|
||||
已发/异常/待审核一律排除。
|
||||
<b>判断规则</b>：对每个待补 SKU，<b>超出订单数</b> = max(0, 待发订单量 − 拣货位库存)；
|
||||
「建议补货量」= min(超出订单数, 存储位库存)；存储位也不够时标记「缺货」，缺口需采购 / 紧急调拨。
|
||||
</li>
|
||||
<li>
|
||||
<b>时效</b>：仓位库存视图聚合需 30s~1min，待发快照表较快；服务端缓存 10 分钟（启动时已预热）；
|
||||
点「刷新数据」会强制回源，需要等约 1 分钟。
|
||||
<b>统计范围</b>：取该仓<b>最新一天的「打单拣货」快照</b>（ETL 约每日 07:00 刷新）；已发/异常/待审核一律排除。
|
||||
</li>
|
||||
<li>
|
||||
<b>时效</b>：库存视图聚合约 1~2s，待发快照两步查询约 12s；服务端缓存 10 分钟（启动时已预热）；
|
||||
点「刷新数据」会强制回源，需要等约 15~30 秒。
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user