cangku/backend/src/services/stockSalesAnalysis.js
youruo 2c8ed86c26 feat: 库存动销分析「销售=0」档支持导出 SKU 明细
- 后端新增 GET /api/stock-sales-analysis/zero-sales-export:
  复用与页面完全一致的分档口径(同一段 gradeCase 表达式 + 「有库存或有销量」过滤),
  输出仓库/SKU编码/SKU名称/库存数量/销量/统计天数/统计基准日的 SKU 级明细;
  支持.days 统计窗口、wmsCoId 逗号分隔过滤(仅允许仓库清单内的 ID,防任意拼参)、
  format=xlsx|csv,复用通用导出服务 exportWorkbook
- services 新增 fetchZeroSaleSkuRows:SKU 级「销售=0」查询,LEFT JOIN rpt.jst_sku 取名称,
  按仓库+库存倒序排列
- 前端工具栏新增「导出销售=0」按钮:跟随当前统计天数与仓库筛选,
  文件名含业务日期与仓库范围,失败时解出错误体给出可读提示
- 测试补充 3 条:防呆抛错、空参短路、SQL 口径与参数传递断言

验证:后端 syntax 通过、单测 8/8(全量 389 条仅既有 Windows 环境项失败);
前端 eslint/build/test 21/21 通过;
本地实测:全仓导出 3641 行、26 仓、销量列全为 0;
单仓(崔桥半成品包装 694 行)与页面「销售=0」SKU 数一致;
浏览器实测点击下载真实文件名「库存动销分析-销售0明细-20260926.xlsx」
2026-09-27 17:47:45 +08:00

231 lines
7.7 KiB
JavaScript
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

'use strict';
/**
* 仓库库存动销分析 —— 业务库取数
*
* 一次查询覆盖全部仓库 × 全部动销等级:
* 库存件数:rpt.jst_inventoryInfo 实时库存(按 wms_co_id + sku_id 汇总)
* 销量: rpt.jst_OrderItem × rpt.jst_Orders,按 send_date,排除 Delete/Cancelled
* (与「每日进销存」的发货口径一致)
* 日销: 销量 / 统计窗口天数 → 分档得到动销等级
*
* 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,
* 计入「销售=0」会虚增分母,故整体剔除。
*/
const { SALES_GRADE_RULES } = require('../config/stockSalesAnalysis');
/** 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 `@${key}`;
})
.join(',');
return { clause, params };
}
/**
* 日销分档表达式:从高档往低档依次命中。
* 最后一档「销售=0」由 `salesQty <= 0` 兜底(销量为 NULL 视同 0)。
*/
function buildGradeCase(salesExpr = 'ISNULL(b.salesQty, 0)', daysParam = '@days') {
const branches = SALES_GRADE_RULES
.filter((rule) => rule.lower > 0)
.map((rule) => {
const daily = `(${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 ${salesExpr} > 0 THEN 'slow2'
ELSE 'zero'
END`;
}
/**
* 每个仓库 × 每个动销等级的 SKU 数、库存件数、销量。
* @returns {Promise<Array<{wmsCoId:string, gradeKey:string, skuCount:number, stockQty:number, salesQty:number, dailySales:number}>>}
*/
async function fetchGradeRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days }) {
if (!cloudDb || typeof cloudDb.query !== 'function') {
throw new TypeError('fetchGradeRows 的第一个参数必须是业务库实例');
}
if (!Array.isArray(wmsCoIds) || wmsCoIds.length === 0) return [];
if (!shipFrom || !shipTo || !days) return [];
const invIn = buildInClause(wmsCoIds, 'w');
const shipIn = buildInClause(wmsCoIds, 'v');
const gradeCase = buildGradeCase();
const sqlText = `
WITH inv AS (
SELECT i.wms_co_id AS wmsCoId,
i.sku_id AS skuId,
SUM(CAST(ISNULL(i.qty, 0) AS DECIMAL(18, 2))) AS stockQty
FROM rpt.jst_inventoryInfo i
WHERE i.wms_co_id IN (${invIn.clause})
GROUP BY i.wms_co_id, i.sku_id
),
ship AS (
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')
GROUP BY o.wms_co_id, oi.sku_id
),
base AS (
SELECT u.wmsCoId,
u.skuId,
SUM(u.stockQty) AS stockQty,
SUM(u.salesQty) AS salesQty
FROM (
SELECT wmsCoId, skuId, stockQty, CAST(0 AS DECIMAL(18, 2)) AS salesQty FROM inv
UNION ALL
SELECT wmsCoId, skuId, CAST(0 AS DECIMAL(18, 2)) AS stockQty, salesQty FROM ship
) u
GROUP BY u.wmsCoId, u.skuId
),
graded AS (
SELECT b.wmsCoId,
b.stockQty,
b.salesQty,
${gradeCase} AS gradeKey
FROM base b
WHERE ABS(ISNULL(b.stockQty, 0)) > 0.0001
OR ABS(ISNULL(b.salesQty, 0)) > 0.0001
)
SELECT g.wmsCoId,
g.gradeKey,
COUNT(*) AS skuCount,
CAST(SUM(ISNULL(g.stockQty, 0)) AS DECIMAL(18, 2)) AS stockQty,
CAST(SUM(ISNULL(g.salesQty, 0)) AS DECIMAL(18, 2)) AS salesQty,
CAST(SUM(ISNULL(g.salesQty, 0) / @days) AS DECIMAL(18, 4)) AS dailySales
FROM graded g
GROUP BY g.wmsCoId, g.gradeKey`;
const rows = await cloudDb.query(sqlText, {
...invIn.params,
...shipIn.params,
shipFrom,
shipTo,
days,
}, { requestTimeout: 180000 });
return rows.map((r) => ({
wmsCoId: String(r.wmsCoId),
gradeKey: String(r.gradeKey),
skuCount: Number(r.skuCount) || 0,
stockQty: Number(r.stockQty) || 0,
salesQty: Number(r.salesQty) || 0,
dailySales: Number(r.dailySales) || 0,
}));
}
/**
* 「销售=0」档的 SKU 级明细(导出用)。
* 口径与 fetchGradeRows 完全一致:同一分档表达式命中 gradeKey='zero',
* 即统计窗口内销量 <= 0 且「有库存或有销量」的 SKU。
* @returns {Promise<Array<{wmsCoId:string, skuId:string, skuName:string, stockQty:number, salesQty:number}>>}
*/
async function fetchZeroSaleSkuRows(cloudDb, wmsCoIds, { shipFrom, shipTo, days }) {
if (!cloudDb || typeof cloudDb.query !== 'function') {
throw new TypeError('fetchZeroSaleSkuRows 的第一个参数必须是业务库实例');
}
if (!Array.isArray(wmsCoIds) || wmsCoIds.length === 0) return [];
if (!shipFrom || !shipTo || !days) return [];
const invIn = buildInClause(wmsCoIds, 'w');
const shipIn = buildInClause(wmsCoIds, 'v');
const gradeCase = buildGradeCase();
const sqlText = `
WITH inv AS (
SELECT i.wms_co_id AS wmsCoId,
i.sku_id AS skuId,
SUM(CAST(ISNULL(i.qty, 0) AS DECIMAL(18, 2))) AS stockQty
FROM rpt.jst_inventoryInfo i
WHERE i.wms_co_id IN (${invIn.clause})
GROUP BY i.wms_co_id, i.sku_id
),
ship AS (
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')
GROUP BY o.wms_co_id, oi.sku_id
),
base AS (
SELECT u.wmsCoId,
u.skuId,
SUM(u.stockQty) AS stockQty,
SUM(u.salesQty) AS salesQty
FROM (
SELECT wmsCoId, skuId, stockQty, CAST(0 AS DECIMAL(18, 2)) AS salesQty FROM inv
UNION ALL
SELECT wmsCoId, skuId, CAST(0 AS DECIMAL(18, 2)) AS stockQty, salesQty FROM ship
) u
GROUP BY u.wmsCoId, u.skuId
),
graded AS (
SELECT b.wmsCoId,
b.skuId,
b.stockQty,
b.salesQty,
${gradeCase} AS gradeKey
FROM base b
WHERE ABS(ISNULL(b.stockQty, 0)) > 0.0001
OR ABS(ISNULL(b.salesQty, 0)) > 0.0001
)
SELECT g.wmsCoId,
g.skuId,
ISNULL(s.name, '') AS skuName,
CAST(g.stockQty AS DECIMAL(18, 2)) AS stockQty,
CAST(g.salesQty AS DECIMAL(18, 2)) AS salesQty
FROM graded g
LEFT JOIN rpt.jst_sku s ON s.sku_id = g.skuId
WHERE g.gradeKey = 'zero'
ORDER BY g.wmsCoId, g.stockQty DESC, g.skuId`;
const rows = await cloudDb.query(sqlText, {
...invIn.params,
...shipIn.params,
shipFrom,
shipTo,
days,
}, { requestTimeout: 180000 });
return rows.map((r) => ({
wmsCoId: String(r.wmsCoId),
skuId: String(r.skuId ?? ''),
skuName: r.skuName == null ? '' : String(r.skuName),
stockQty: Number(r.stockQty) || 0,
salesQty: Number(r.salesQty) || 0,
}));
}
module.exports = {
buildInClause,
buildGradeCase,
fetchGradeRows,
fetchZeroSaleSkuRows,
};