Improve planning data normalization

src/pages/ProductDetails.tsx

@@ -13,6 +13,7 @@ import { parseProductName } from '../productParsing';
 import { formatColorLabel } from '../displayFormatters';
 import { averageRecentValues, formatDateBucketLabel, formatDateBucketLongLabel, getAutoDateBucket, getMovingAverageWindow, getRangeDayCount, getDateBucketKey, type DateBucket } from '../chartUtils';
 import { getProductTypeConfig, resolveProductType } from '../productClassification';
+import { getPlanningStock } from '../planningStock';
 
 const CHART_GRID_COLOR = 'var(--chart-grid)';
 const CHART_AXIS_COLOR = 'var(--chart-axis)';
@@ -229,7 +230,7 @@ const ProductDetails = () => {
   const dateBucket = isHourlyChart ? 'day' : getAutoDateBucket(dateRange);
   const periodDays = getRangeDayCount(dateRange);
   const dailyAverageSold = totalSold / periodDays;
-  const projectedStockDays = dailyAverageSold > 0 ? productInfo.stock / dailyAverageSold : null;
+  const projectedStockDays = dailyAverageSold > 0 ? getPlanningStock(productInfo.stock) / dailyAverageSold : null;
   const stockActionLabel = projectedStockDays === null
     ? 'Sem venda no período'
     : projectedStockDays <= 7

src/pages/ProductGroupDetails.tsx

@@ -14,6 +14,7 @@ import { decodeProductGroupKey, normalizeProductText, parseProductName } from '.
 import { formatColorLabel } from '../displayFormatters';
 import { getProductColor } from '../productColors';
 import { getDominantProductType, getProductTypeConfig, resolveProductType, type ProductTypeKey } from '../productClassification';
+import { getPlanningStock } from '../planningStock';
 import type { CuttingSettings, DateRange, ProductAnalyticsItem, ProductionOrderItem } from '../types';
 
 type VariantRow = ProductAnalyticsItem & {
@@ -263,7 +264,7 @@ const ProductGroupDetails = () => {
         const dailySales = product.quantitySold / rangeDays;
         const projectedDemand = dailySales * REPLENISHMENT_TARGET_DAYS;
         const openProductionQuantity = openProductionByProductId[product.id] || 0;
-        const availableQuantity = product.stock + openProductionQuantity;
+        const availableQuantity = getPlanningStock(product.stock) + openProductionQuantity;
         const suggestedReplenishment = Math.max(0, Math.ceil(projectedDemand - availableQuantity));
 
         return {

src/pages/Products.tsx

@@ -11,6 +11,7 @@ import { exportToCSV, fetchCuttingSettings, fetchProductAnalytics, saveCuttingSe
 import { encodeProductGroupKey, parseProductName, sortProductSizes } from '../productParsing';
 import { formatColorLabel } from '../displayFormatters';
 import { getDominantProductType, getProductTypeConfig, productTypeOptions, resolveProductType, type ProductTypeKey } from '../productClassification';
+import { getPlanningStock } from '../planningStock';
 
 type StockRisk = 'rupture' | 'critical' | 'attention' | 'monitor' | 'healthy' | 'no_sales';
 type StockStatusFilter = 'all' | StockRisk;
@@ -262,7 +263,8 @@ const Products = () => {
     const normalizedSearch = searchTerm.trim().toLowerCase();
     const skuRows = productAnalytics.map(product => {
       const dailySales = product.quantitySold / days;
-      const risk = classifyStockRisk(product.stock, dailySales);
+      const planningStock = getPlanningStock(product.stock);
+      const risk = classifyStockRisk(planningStock, dailySales);
       const style = riskStyles[risk];
       const metadata = parseProductName(product.name);
       const productType = resolveProductType(product.name, planningSettings.productOverrides[product.id]);
@@ -270,7 +272,7 @@ const Products = () => {
       return {
         ...product,
         dailySales,
-        daysOfCover: dailySales > 0 ? product.stock / dailySales : null,
+        daysOfCover: dailySales > 0 ? planningStock / dailySales : null,
         risk,
         riskLabel: style.label,
         baseName: metadata.baseName,
@@ -302,10 +304,11 @@ const Products = () => {
       const quantitySold = group.reduce((total, product) => total + product.quantitySold, 0);
       const revenue = group.reduce((total, product) => total + product.revenue, 0);
       const stock = group.reduce((total, product) => total + product.stock, 0);
+      const planningStock = group.reduce((total, product) => total + getPlanningStock(product.stock), 0);
       const orderLineCount = group.reduce((total, product) => total + product.orderLineCount, 0);
       const dailySales = quantitySold / days;
-      const daysOfCover = dailySales > 0 ? stock / dailySales : null;
-      const risk = classifyStockRisk(stock, dailySales);
+      const daysOfCover = dailySales > 0 ? planningStock / dailySales : null;
+      const risk = classifyStockRisk(planningStock, dailySales);
       const style = riskStyles[risk];
       const colorTotals = new Map<string, number>();
       const sizeTotals = new Map<string, number>();

src/pages/Replenishment.tsx

@@ -10,6 +10,7 @@ import type { DateRange, ProductAnalyticsItem, ProductionOrderItem } from '../ty
 import { exportToCSV, fetchProductAnalytics, fetchProductionOrders } from '../dataService';
 import { encodeProductGroupKey, parseProductName, sortProductSizes } from '../productParsing';
 import { formatColorLabel } from '../displayFormatters';
+import { getPlanningStock } from '../planningStock';
 
 type ReplenishmentStatus = 'need' | 'covered' | 'no_sales' | 'no_stock';
 type ReplenishmentFilter = 'all' | ReplenishmentStatus;
@@ -174,7 +175,7 @@ const Replenishment = () => {
       const dailySales = product.quantitySold / rangeDays;
       const projectedDemand = dailySales * targetCoverageDays;
       const openProductionQuantity = openProductionByProductId[product.id] || 0;
-      const availableQuantity = product.stock + openProductionQuantity;
+      const availableQuantity = getPlanningStock(product.stock) + openProductionQuantity;
       const rawNeed = projectedDemand - availableQuantity;
       const suggestedQuantity = Math.max(0, Math.ceil(rawNeed));
       const daysOfCover = dailySales > 0 ? availableQuantity / dailySales : null;

src/pages/Supplies.tsx

@@ -31,6 +31,7 @@ import { classifyCutFamily } from '../analytics/cutting';
 import { adjustSupplyLotInventory, approveSupplyReceipt, consumeSupplyLotForProduction, createSupplyFabricPlan, createSupplyReceipt, deleteSupplyFabricPlan, deleteSupplyReceipt, fetchCuttingSettings, fetchProductAnalytics, fetchSupplySummary } from '../dataService';
 import { parseProductName } from '../productParsing';
 import { resolveProductType, type ProductTypeKey } from '../productClassification';
+import { getPlanningStock } from '../planningStock';
 import type { CuttingSettings, DateRange, ProductAnalyticsItem, SupplyFabricPlan, SupplyLot, SupplyMovement, SupplyPurchaseNeed, SupplyReceipt, SupplySummary } from '../types';
 
 type InventoryTab = 'dashboard' | 'balance' | 'receipts' | 'inventory' | 'movements';
@@ -230,9 +231,10 @@ const buildDemandRow = (
   const color = override?.color || metadata.color;
   const size = (override?.size || metadata.size).toUpperCase();
   const dailySales = product.quantitySold / rangeDays;
-  const daysOfCover = dailySales > 0 ? product.stock / dailySales : null;
+  const planningStock = getPlanningStock(product.stock);
+  const daysOfCover = dailySales > 0 ? planningStock / dailySales : null;
   const targetDemand = dailySales * targetCoverageDays;
-  const suggestedUnits = Math.max(0, Math.ceil(targetDemand - product.stock));
+  const suggestedUnits = Math.max(0, Math.ceil(targetDemand - planningStock));
   const missingData: string[] = [];
 
   if (planningReviewTypes.has(productType)) missingData.push('tipo');