feat: 新增多类业务功能并优化页面展示

1. 新增钢卷周期对比查询API，增加冷轧卷、花纹板物料类型
2. 优化库存积压统计逻辑，支持成品和原料数据合并计算
3. 新增告警统计功能，实现长度/厚度告警的数量和重量统计
4. 替换岗位管理页面为冷轧厂业务流程泳道图页面

klp-ui/src/views/cost/coil.vue

@@ -123,7 +123,7 @@ import * as echarts from 'echarts'
 import { getCoilHoardingStats, listCoilHoardingDetail } from '@/api/cost/coil'
 import WarehouseSelect from '@/components/KLPService/WarehouseSelect'
 
-const PRODUCT_NAMES = ['镀锌卷', '镀铬卷', '冷硬卷', '热轧卷板']
+const PRODUCT_NAMES = ['镀锌卷', '镀铬卷', '冷硬卷', '热轧卷板', '冷轧卷', '花纹板']
 
 function parseFirstCreateTime(row) {
   try {
@@ -237,17 +237,37 @@ export default {
     fetchDimension() {
       this.dimLoading = true
       const base = this.buildQuery()
-      const promises = PRODUCT_NAMES.map(v => {
-        const body = { ...base, itemName: v }
-        return getCoilHoardingStats(body).then(res => ({
+      const promises = PRODUCT_NAMES.flatMap(v => {
+        const baseBody = { ...base, itemName: v }
+        const productReq = getCoilHoardingStats({ ...baseBody, selectType: 'product' }).then(res => ({
           label: v,
           avgDays: parseFloat((res.data && res.data.avgHoardingDays) || 0),
           avgCost: parseFloat((res.data && res.data.avgHoardingCost) || 0),
           count: parseInt((res.data && res.data.totalCount) || 0)
         }))
+        const rawReq = getCoilHoardingStats({ ...baseBody, selectType: 'raw_material' }).then(res => ({
+          label: v,
+          avgDays: parseFloat((res.data && res.data.avgHoardingDays) || 0),
+          avgCost: parseFloat((res.data && res.data.avgHoardingCost) || 0),
+          count: parseInt((res.data && res.data.totalCount) || 0)
+        }))
+        return [productReq, rawReq]
       })
       Promise.all(promises).then(data => {
-        this.dimensionData = data.filter(d => d.count > 0)
+        const map = {}
+        data.forEach(d => {
+          if (!map[d.label]) {
+            map[d.label] = { label: d.label, avgDays: 0, avgCost: 0, count: 0 }
+          }
+          const prev = map[d.label]
+          const totalCount = prev.count + d.count
+          if (totalCount > 0) {
+            prev.avgDays = parseFloat(((prev.avgDays * prev.count + d.avgDays * d.count) / totalCount).toFixed(2))
+            prev.avgCost = parseFloat(((prev.avgCost * prev.count + d.avgCost * d.count) / totalCount).toFixed(2))
+          }
+          prev.count = totalCount
+        })
+        this.dimensionData = Object.values(map).filter(d => d.count > 0)
         this.$nextTick(() => this.updateDimChart())
       }).finally(() => { this.dimLoading = false })
     },