Optimize data processing performance with memoization

services/dataProcessor.ts

@@ -65,8 +65,12 @@ const MONTH_MAP: Record<string, string> = {
 };
 
 // Robust Month Normalizer
+const monthCache: Record<string, string> = {};
+
 const normalizeMonth = (rawMonth: string): string => {
     if (!rawMonth) return '';
+    if (monthCache[rawMonth]) return monthCache[rawMonth];
+
     let m = String(rawMonth).trim().toLowerCase();
 
     // 0. Check for Excel Serial Date (e.g. 45544 -> Sep)
@@ -82,7 +86,10 @@ const normalizeMonth = (rawMonth: string): string => {
     }
 
     // 1. Direct Map Lookup (Handles "jan", "enero", "sep", etc.)
-    if (MONTH_MAP[m]) return MONTH_MAP[m];
+    if (MONTH_MAP[m]) {
+        monthCache[rawMonth] = MONTH_MAP[m];
+        return MONTH_MAP[m];
+    }
 
     // 2. Handle numeric months "01", "1", "01-2023"
     // If it's a full date string like "2023-04-01" or "01/04/2023"
@@ -125,6 +132,7 @@ const normalizeMonth = (rawMonth: string): string => {
         }
     }
 
+    monthCache[rawMonth] = rawMonth;
     return rawMonth; // Return as-is if all else fails
 };
 
@@ -508,16 +516,25 @@ export const mergeSalesAndAdsData = (
     trafficData?: TrafficRecord[],
     velocityMap?: Map<string, number>
 ): CombinedKPIs[] => {
+    const stringCache: Record<string, string> = {};
+    const getNorm = (s: string) => {
+        if (!s) return '';
+        if (stringCache[s]) return stringCache[s];
+        const v = s.trim().toUpperCase();
+        stringCache[s] = v;
+        return v;
+    };
+
     // Key for both sales and ads: ASIN|Customer|Year|Week
     const createKey = (asin: string, customer: string, year: number, week: number) =>
-        `${asin.trim().toUpperCase()}|${customer.trim().toUpperCase()}|${year}|${week}`;
+        `${getNorm(asin)}|${getNorm(customer)}|${year}|${week}`;
 
     // Build traffic lookup map - Use a more efficient key
     const trafficMap = new Map<string, number>();
     if (trafficData) {
         for (let i = 0; i < trafficData.length; i++) {
             const t = trafficData[i];
-            const key = `${t.asin.trim().toUpperCase()}|${t.country.trim().toUpperCase()}|${t.year}|${t.week}`;
+            const key = `${getNorm(t.asin)}|${getNorm(t.country)}|${t.year}|${t.week}`;
             trafficMap.set(key, (trafficMap.get(key) || 0) + (t.glanceViews || 0));
         }
     }
@@ -544,8 +561,8 @@ export const mergeSalesAndAdsData = (
         const weekNum = sale.week || 0;
         if (weekNum === 0) continue;
 
-        const asinUpper = sale.asin.trim().toUpperCase();
+        const asinUpper = getNorm(sale.asin);
-        const key = `${asinUpper}|${sale.customer.trim().toUpperCase()}|${sale.year}|${weekNum}`;
+        const key = `${asinUpper}|${getNorm(sale.customer)}|${sale.year}|${weekNum}`;
 
         // If no global map provided, build it on the fly
         if (!asinMetadataMap) {
@@ -585,7 +602,7 @@ export const mergeSalesAndAdsData = (
     const adsMap = new Map<string, AdsRecord>();
     for (let i = 0; i < adsData.length; i++) {
         const ad = adsData[i];
-        const key = `${ad.asin.trim().toUpperCase()}|${ad.country.trim().toUpperCase()}|${ad.year}|${ad.week}`;
+        const key = `${getNorm(ad.asin)}|${getNorm(ad.country)}|${ad.year}|${ad.week}`;
         const existing = adsMap.get(key);
         if (existing) {
             existing.cost += ad.cost;
@@ -633,7 +650,7 @@ export const mergeSalesAndAdsData = (
             month: sale.month,
             week: sale.week,
             year: sale.year,
-            asin: sale.asin.trim().toUpperCase(),
+            asin: getNorm(sale.asin),
             title: sale.title,
             line: sale.line,
             sku: sale.sku,
@@ -663,7 +680,7 @@ export const mergeSalesAndAdsData = (
     // 5. Add ads-only records - use provided metadata for line/title
     adsMap.forEach((ad, key) => {
         if (!processedKeys.has(key)) {
-            const asin = ad.asin.trim().toUpperCase();
+            const asin = getNorm(ad.asin);
             const meta = asinMetadata.get(asin);
             const avgWeeklySales = velocityMap?.get(asin) || 0;
 
@@ -1299,10 +1316,12 @@ export const pivotSalesData = (data: any[], dimensions: string[] = ['title', 'cu
     data.forEach(record => {
         // Group by Dynamic Dimensions
         // Use a fallback for 'customer' dimension as some records use 'marketplace'
-        const keyParts = dimensions.map(dim => {
+        const keyParts = new Array(dimensions.length);
-            if (dim === 'customer') return String(record.customer || record.marketplace || '');
+        for (let i = 0; i < dimensions.length; i++) {
-            return String(record[dim] || '');
+            const dim = dimensions[i];
-        });
+            if (dim === 'customer') keyParts[i] = String(record.customer || record.marketplace || '');
+            else keyParts[i] = String(record[dim] || '');
+        }
         const key = keyParts.join('||');
 
         if (!map.has(key)) {