Fix product performance grouped JSON build

svc/main.go

@@ -939,6 +939,11 @@ func InitRoutes(pgDB *sql.DB, mssql *sql.DB, ml *mailer.GraphMailer) *mux.Router
 		"pricing", "view",
 		wrapV3(routes.GetProductPerformanceHandler(pgDB)),
 	)
+	bindV3(r, pgDB,
+		"/api/pricing/product-performance/export-excel", "POST",
+		"pricing", "view",
+		wrapV3(routes.ExportProductPerformanceExcelHandler(pgDB)),
+	)
 	bindV3(r, pgDB,
 		"/api/pricing/product-performance/summary", "GET",
 		"pricing", "view",

svc/queries/product_performance.go

@@ -3937,8 +3937,8 @@ func ListProductPerformanceGroupedFilterOptions(ctx context.Context, pg *sql.DB,
 	if err := EnsureProductPerformanceTables(pg); err != nil {
 		return nil, err
 	}
-	if req.Limit <= 0 || req.Limit > 5000 {
+	if req.Limit <= 0 || req.Limit > 50000 {
-		req.Limit = 5000
+		req.Limit = 50000
 	}
 	levels := sanitizeProductPerformanceGroupLevels(req.GroupLevels)
 	if len(levels) == 0 {
@@ -4460,22 +4460,22 @@ FROM (
     CASE WHEN SUM(sales_qty_90d) > 0 THEN SUM(sales_usd_90d) / NULLIF(SUM(sales_qty_90d),0) ELSE 0 END AS avg_price_usd_90d,
     CASE WHEN SUM(sales_qty_180d) > 0 THEN SUM(sales_usd_180d) / NULLIF(SUM(sales_qty_180d),0) ELSE 0 END AS avg_price_usd_180d,
     CASE
-      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END) > 0
+      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END) > 0
-      THEN SUM(CASE WHEN sales_qty_total > 0 THEN cost_price_usd * sales_qty_total WHEN stock_variant_rank = 1 THEN cost_price_usd * stock_qty ELSE 0 END)
+      THEN SUM(CASE WHEN sales_qty_total > 0 THEN cost_price_usd * sales_qty_total ELSE 0 END)
-        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END),0)
+        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END),0)
-      ELSE 0
+      ELSE COALESCE(AVG(NULLIF(cost_price_usd,0)),0)
     END AS cost_price_usd,
     CASE
-      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END) > 0
+      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END) > 0
-      THEN SUM(CASE WHEN sales_qty_total > 0 THEN base_price_usd * sales_qty_total WHEN stock_variant_rank = 1 THEN base_price_usd * stock_qty ELSE 0 END)
+      THEN SUM(CASE WHEN sales_qty_total > 0 THEN base_price_usd * sales_qty_total ELSE 0 END)
-        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END),0)
+        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END),0)
-      ELSE 0
+      ELSE COALESCE(AVG(NULLIF(base_price_usd,0)),0)
     END AS base_price_usd,
     CASE
-      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END) > 0
+      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END) > 0
-      THEN SUM(CASE WHEN sales_qty_total > 0 THEN base_price_try * sales_qty_total WHEN stock_variant_rank = 1 THEN base_price_try * stock_qty ELSE 0 END)
+      THEN SUM(CASE WHEN sales_qty_total > 0 THEN base_price_try * sales_qty_total ELSE 0 END)
-        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END),0)
+        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END),0)
-      ELSE 0
+      ELSE COALESCE(AVG(NULLIF(base_price_try,0)),0)
     END AS base_price_try,
     COALESCE(SUM(gross_profit_usd_90d),0) AS gross_profit_usd_90d,
     COALESCE(SUM(gross_profit_usd_180d),0) AS gross_profit_usd_180d,
@@ -5275,7 +5275,7 @@ func (n *productPerformanceGroupedSnapshotNode) add(row map[string]any) {
 				n.Avg[key] = state
 			}
 			number := floatFromAny(value)
-			weight := floatFromMap(row, productPerformanceMetricWeightField(key))
+			weight := productPerformanceMetricWeight(row, key)
 			if weight > 0 {
 				state.Weighted += number * weight
 				state.Weight += weight
@@ -5722,15 +5722,33 @@ func deriveProductPerformanceGroupMetrics(out map[string]any, groupField string)
 	if _, ok := out["net_stock_after_order"]; ok || orderQty > 0 {
 		out["net_stock_after_order"] = floatFromMap(out, "stock_qty") - orderQty
 	}
+	if _, ok := out["customer_score_90d"]; !ok {
 		out["customer_score_90d"] = productPerformanceCustomerSalesPeriodScore(rowPeriodMetricMap(out, "90d"))
+	}
+	if _, ok := out["customer_score_180d"]; !ok {
 		out["customer_score_180d"] = productPerformanceCustomerSalesPeriodScore(rowPeriodMetricMap(out, "180d"))
+	}
+	if _, ok := out["customer_score_365d"]; !ok {
 		out["customer_score_365d"] = productPerformanceCustomerSalesPeriodScore(rowPeriodMetricMap(out, "365d"))
+	}
+	if _, ok := out["customer_score_total"]; !ok {
 		out["customer_score_total"] = productPerformanceCustomerSalesPeriodScore(rowPeriodMetricMap(out, "total"))
+	}
+	if _, ok := out["performance_score_90d"]; !ok {
 		out["performance_score_90d"] = productPerformanceSalesPeriodScore(out, "90d")
+	}
+	if _, ok := out["performance_score_180d"]; !ok {
 		out["performance_score_180d"] = productPerformanceSalesPeriodScore(out, "180d")
+	}
+	if _, ok := out["performance_score_365d"]; !ok {
 		out["performance_score_365d"] = productPerformanceSalesPeriodScore(out, "365d")
+	}
+	if _, ok := out["performance_score_total"]; !ok {
 		out["performance_score_total"] = productPerformanceSalesPeriodScore(out, "total")
+	}
+	if _, ok := out["performance_score"]; !ok {
 		out["performance_score"] = productPerformanceGroupScore(out, groupField)
+	}
 	if floatFromMap(out, "order_qty") > 0 || floatFromMap(out, "order_usd") > 0 {
 		score := productPerformanceOrderGroupScore(out)
 		out["performance_score_90d"] = score
@@ -6087,6 +6105,9 @@ func shouldAverageProductPerformanceField(field string) bool {
 }
 
 func productPerformanceMetricWeightField(field string) string {
+	if productPerformanceUsesCostWeight(field) {
+		return "__product_cost_weight"
+	}
 	if strings.Contains(field, "_180d") {
 		return "sales_qty_180d"
 	}
@@ -6105,11 +6126,44 @@ func productPerformanceMetricWeightField(field string) string {
 	return "sales_qty_90d"
 }
 
+func productPerformanceUsesCostWeight(field string) bool {
+	if !(strings.HasPrefix(field, "base_price") || strings.HasPrefix(field, "cost_price")) {
+		return false
+	}
+	return !strings.Contains(field, "_90d") &&
+		!strings.Contains(field, "_180d") &&
+		!strings.Contains(field, "_365d") &&
+		!strings.Contains(field, "_total")
+}
+
+func productPerformanceMetricWeight(row map[string]any, field string) float64 {
+	weightField := productPerformanceMetricWeightField(field)
+	if weightField == "__product_cost_weight" {
+		return productPerformanceCostWeight(row)
+	}
+	return floatFromMap(row, weightField)
+}
+
+func productPerformanceCostWeight(row map[string]any) float64 {
+	if weight := floatFromMap(row, "sales_qty_total"); weight > 0 {
+		return weight
+	}
+	for _, field := range []string{"sales_qty_365d", "sales_qty_180d", "sales_qty_90d"} {
+		if weight := floatFromMap(row, field); weight > 0 {
+			return weight
+		}
+	}
+	return 0
+}
+
 func weightedAverageProductPerformanceRows(rows []map[string]any, valueField, qtyField string) float64 {
 	var weighted, qty float64
 	for _, row := range rows {
 		value := floatFromMap(row, valueField)
 		weight := floatFromMap(row, qtyField)
+		if qtyField == "__product_cost_weight" {
+			weight = productPerformanceCostWeight(row)
+		}
 		if weight > 0 {
 			weighted += value * weight
 			qty += weight
@@ -6118,9 +6172,50 @@ func weightedAverageProductPerformanceRows(rows []map[string]any, valueField, qt
 	if qty > 0 {
 		return weighted / qty
 	}
+	if qtyField == "__product_cost_weight" {
+		return averageProductPerformanceDistinctVariantField(rows, valueField)
+	}
 	return 0
 }
 
+func averageProductPerformanceDistinctVariantField(rows []map[string]any, valueField string) float64 {
+	seen := map[string]bool{}
+	sum := 0.0
+	count := 0.0
+	hasKey := false
+	for _, row := range rows {
+		key := productPerformanceMapVariantKey(row)
+		if key == "" {
+			continue
+		}
+		hasKey = true
+		if seen[key] {
+			continue
+		}
+		seen[key] = true
+		value := floatFromMap(row, valueField)
+		if value <= 0 {
+			continue
+		}
+		sum += value
+		count++
+	}
+	if !hasKey {
+		for _, row := range rows {
+			value := floatFromMap(row, valueField)
+			if value <= 0 {
+				continue
+			}
+			sum += value
+			count++
+		}
+	}
+	if count <= 0 {
+		return 0
+	}
+	return sum / count
+}
+
 func dominantProductPerformanceValue(rows []map[string]any, field string) string {
 	counts := map[string]int{}
 	for _, row := range rows {

svc/routes/product_images.go

@@ -26,6 +26,7 @@ type ProductImageItem struct {
 	ThumbURL     string `json:"thumb_url,omitempty"`
 	FullURL      string `json:"full_url,omitempty"`
 	StoredInDB   bool   `json:"stored_in_db,omitempty"`
+	HasDBContent bool   `json:"-"`
 }
 
 type ProductImageBatchItem struct {
@@ -141,14 +142,68 @@ func enrichProductImageItem(it *ProductImageItem) {
 	if it == nil {
 		return
 	}
-	if it.ID > 0 {
-		it.ContentURL = fmt.Sprintf("/api/product-images/%d/content", it.ID)
-	}
 	if u := extractImageUUID(it.Storage, it.FileName); u != "" {
 		it.UUID = u
-		it.ThumbURL = "/uploads/image/t300/" + u + ".jpg"
+		it.ThumbURL = productImagePublicURLIfExists("uploads/image/t300/" + u + ".jpg")
-		it.FullURL = "/uploads/image/" + u + ".jpg"
+		it.FullURL = productImagePublicURLIfExists("uploads/image/" + u + ".jpg")
 	}
+	if it.FullURL == "" {
+		it.FullURL = productImagePublicURLIfExists(it.Storage)
+	}
+	if it.FullURL == "" {
+		it.FullURL = productImagePublicURLIfExists(it.FileName)
+	}
+	if it.ID > 0 && (it.HasDBContent || productImageStoredFileExists(it.Storage, it.FileName)) {
+		it.ContentURL = fmt.Sprintf("/api/product-images/%d/content", it.ID)
+	}
+}
+
+func productImageItemHasURL(it *ProductImageItem) bool {
+	return it != nil && (it.ThumbURL != "" || it.FullURL != "" || it.ContentURL != "")
+}
+
+func productImageStoredFileExists(storagePath, fileName string) bool {
+	if resolved, _ := resolveStoragePath(storagePath); resolved != "" {
+		return true
+	}
+	if resolved, _ := resolveStoragePath(fileName); resolved != "" {
+		return true
+	}
+	return false
+}
+
+func productImagePublicURLIfExists(storagePath string) string {
+	raw := strings.TrimSpace(storagePath)
+	if raw == "" {
+		return ""
+	}
+	resolved, _ := resolveStoragePath(raw)
+	if resolved == "" {
+		return ""
+	}
+
+	normalized := strings.ReplaceAll(raw, "\\", "/")
+	lower := strings.ToLower(normalized)
+	if idx := strings.Index(lower, "/uploads/"); idx >= 0 {
+		return normalized[idx:]
+	}
+	if strings.HasPrefix(lower, "uploads/") {
+		return "/" + normalized
+	}
+
+	root := strings.TrimSpace(os.Getenv("BLOB_ROOT"))
+	if root == "" {
+		return ""
+	}
+	rel, err := filepath.Rel(root, resolved)
+	if err != nil || rel == "." || strings.HasPrefix(rel, "..") || filepath.IsAbs(rel) {
+		return ""
+	}
+	rel = filepath.ToSlash(rel)
+	if strings.HasPrefix(strings.ToLower(rel), "uploads/") {
+		return "/" + rel
+	}
+	return ""
 }
 
 // POST /api/product-images/batch
@@ -224,6 +279,7 @@ ranked AS (
     COALESCE(b.file_size,0) AS file_size,
     COALESCE(b.storage_path,'') AS storage_path,
     COALESCE(b.stored_in_db,false) AS stored_in_db,
+    (COALESCE(octet_length(b.bin),0) > 0) AS has_db_content,
     ROW_NUMBER() OVER (
       PARTITION BY mi.key
       ORDER BY
@@ -241,9 +297,9 @@ ranked AS (
     AND b.typ='img'
     AND b.src_id=mi.mmitem_id
 )
-SELECT key, id, file_name, file_size, storage_path, stored_in_db
+SELECT key, id, file_name, file_size, storage_path, stored_in_db, has_db_content
 FROM ranked
-WHERE rn <= 1
+WHERE rn <= 5
 ORDER BY key, rn
 `, string(payload))
 		if err != nil {
@@ -257,10 +313,13 @@ ORDER BY key, rn
 		for rows.Next() {
 			var key string
 			var it ProductImageItem
-			if err := rows.Scan(&key, &it.ID, &it.FileName, &it.FileSize, &it.Storage, &it.StoredInDB); err != nil {
+			if err := rows.Scan(&key, &it.ID, &it.FileName, &it.FileSize, &it.Storage, &it.StoredInDB, &it.HasDBContent); err != nil {
 				continue
 			}
 			enrichProductImageItem(&it)
+			if !productImageItemHasURL(&it) {
+				continue
+			}
 			grouped[key] = append(grouped[key], it)
 		}
 		if err := rows.Err(); err != nil {
@@ -351,7 +410,8 @@ SELECT
   COALESCE(file_name,'') AS file_name,
   COALESCE(file_size,0) AS file_size,
   COALESCE(storage_path,'') AS storage_path,
-  COALESCE(stored_in_db,false) AS stored_in_db
+  COALESCE(stored_in_db,false) AS stored_in_db,
+  (COALESCE(octet_length(bin),0) > 0) AS has_db_content
 FROM dfblob
 WHERE typ='img'
   AND src_table='mmitem'
@@ -382,12 +442,14 @@ ORDER BY
 			items := make([]ProductImageItem, 0, 16)
 			for rows.Next() {
 				var it ProductImageItem
-				if err := rows.Scan(&it.ID, &it.FileName, &it.FileSize, &it.Storage, &it.StoredInDB); err != nil {
+				if err := rows.Scan(&it.ID, &it.FileName, &it.FileSize, &it.Storage, &it.StoredInDB, &it.HasDBContent); err != nil {
 					continue
 				}
 				enrichProductImageItem(&it)
+				if productImageItemHasURL(&it) {
 					items = append(items, it)
 				}
+			}
 			if err := rows.Err(); err != nil {
 				return nil, err
 			}

svc/routes/product_performance.go

@@ -370,7 +370,7 @@ func GetProductPerformanceGroupedFilterOptionsHandler(pg *sql.DB) http.HandlerFu
 		mainGroup := strings.TrimSpace(r.URL.Query().Get("urun_ana_grubu"))
 		groupLevels := splitCSVQuery(r.URL.Query().Get("group_levels"))
 		fields := splitCSVQuery(r.URL.Query().Get("fields"))
-		limit := intQuery(r, "limit", 5000)
+		limit := intQuery(r, "limit", 50000)
 
 		if r.Method == http.MethodPost {
 			var body struct {

svc/routes/product_performance_excel.go

@@ -0,0 +1,929 @@
+package routes
+
+import (
+	"bssapp-backend/models"
+	"bssapp-backend/queries"
+	"bssapp-backend/utils"
+	"context"
+	"database/sql"
+	"encoding/json"
+	"fmt"
+	"math"
+	"net/http"
+	"sort"
+	"strings"
+	"time"
+
+	"github.com/xuri/excelize/v2"
+)
+
+type productPerformanceExcelExportRequest struct {
+	Filters    map[string][]string `json:"filters"`
+	SortBy     string              `json:"sort_by"`
+	Descending *bool               `json:"descending"`
+}
+
+type productPerformanceExcelColumn struct {
+	Header string
+	Kind   string
+	Value  func(models.ProductPerformanceRow, models.ProductPerformanceGeneralRow, productPerformanceExcelStats) any
+}
+
+type productPerformanceExcelStats struct {
+	AvgSalesUSD90    float64
+	AvgSalesUSD180   float64
+	AvgSalesUSD365   float64
+	AvgSalesUSDTotal float64
+}
+
+func ExportProductPerformanceExcelHandler(pg *sql.DB) http.HandlerFunc {
+	return func(w http.ResponseWriter, r *http.Request) {
+		traceID := utils.TraceIDFromRequest(r)
+		ctx, cancel := context.WithTimeout(utils.ContextWithTraceID(r.Context(), traceID), 180*time.Second)
+		defer cancel()
+
+		var req productPerformanceExcelExportRequest
+		if r.Method == http.MethodPost {
+			if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+				http.Error(w, "gecersiz excel istegi: "+err.Error(), http.StatusBadRequest)
+				return
+			}
+		}
+
+		rows, _, err := queries.ListProductPerformance(ctx, pg, queries.ProductPerformanceFilters{
+			Limit:      50000,
+			Page:       1,
+			SortBy:     "product_code",
+			Descending: false,
+		})
+		if err != nil {
+			http.Error(w, "urun performans excel listesi alinamadi: "+err.Error(), http.StatusInternalServerError)
+			return
+		}
+
+		generalRows, err := queries.ListProductPerformanceGeneral(ctx, pg, 50000)
+		if err != nil {
+			http.Error(w, "urun performans genel excel listesi alinamadi: "+err.Error(), http.StatusInternalServerError)
+			return
+		}
+		generalByKey := productPerformanceExcelGeneralMap(generalRows)
+
+		rows = filterProductPerformanceExcelRows(rows, generalByKey, req.Filters)
+		sortProductPerformanceExcelRows(rows, generalByKey, req.SortBy, req.Descending == nil || *req.Descending)
+		stats := productPerformanceExcelStatsFor(rows, generalByKey)
+
+		file, err := buildProductPerformanceExcelFile(rows, generalByKey, stats)
+		if err != nil {
+			http.Error(w, "urun performans excel dosyasi hazirlanamadi: "+err.Error(), http.StatusInternalServerError)
+			return
+		}
+		defer func() { _ = file.Close() }()
+
+		buf, err := file.WriteToBuffer()
+		if err != nil {
+			http.Error(w, err.Error(), http.StatusInternalServerError)
+			return
+		}
+
+		filename := fmt.Sprintf("product_performance_color_yaka_%s.xlsx", time.Now().Format("20060102_150405"))
+		w.Header().Set("Content-Type", "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
+		w.Header().Set("Content-Disposition", "attachment; filename=\""+filename+"\"")
+		w.Header().Set("Content-Length", fmt.Sprint(len(buf.Bytes())))
+		w.WriteHeader(http.StatusOK)
+		_, _ = w.Write(buf.Bytes())
+	}
+}
+
+func buildProductPerformanceExcelFile(rows []models.ProductPerformanceRow, generalByKey map[string]models.ProductPerformanceGeneralRow, stats productPerformanceExcelStats) (*excelize.File, error) {
+	f := excelize.NewFile()
+	sheet := "RenkYaka"
+	f.SetSheetName("Sheet1", sheet)
+
+	columns := productPerformanceExcelColumns()
+	headerStyle, _ := f.NewStyle(&excelize.Style{
+		Font:      &excelize.Font{Bold: true, Color: "FFFFFF"},
+		Fill:      excelize.Fill{Type: "pattern", Pattern: 1, Color: []string{"1F4E78"}},
+		Alignment: &excelize.Alignment{Horizontal: "center", Vertical: "center", WrapText: true},
+	})
+	textStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 49})
+	intStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 3})
+	decimalStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 4})
+	percentStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 10})
+
+	for i, col := range columns {
+		cell, _ := excelize.CoordinatesToCellName(i+1, 1)
+		_ = f.SetCellStr(sheet, cell, col.Header)
+	}
+	if len(columns) > 0 {
+		lastHeader, _ := excelize.CoordinatesToCellName(len(columns), 1)
+		_ = f.SetCellStyle(sheet, "A1", lastHeader, headerStyle)
+	}
+
+	for rowIndex, row := range rows {
+		excelRow := rowIndex + 2
+		general := generalByKey[productPerformanceExcelVariantKey(row.ProductCode, row.ColorCode, row.YakaKodu)]
+		for colIndex, col := range columns {
+			cell, _ := excelize.CoordinatesToCellName(colIndex+1, excelRow)
+			value := col.Value(row, general, stats)
+			switch col.Kind {
+			case "text":
+				_ = f.SetCellStr(sheet, cell, strings.TrimSpace(fmt.Sprint(value)))
+			default:
+				_ = f.SetCellValue(sheet, cell, productPerformanceExcelFloat(value))
+			}
+		}
+	}
+
+	lastRow := len(rows) + 1
+	if len(columns) > 0 {
+		filterLastRow := lastRow
+		if filterLastRow < 2 {
+			filterLastRow = 2
+		}
+		lastFilterCell, _ := excelize.CoordinatesToCellName(len(columns), filterLastRow)
+		_ = f.AutoFilter(sheet, "A1:"+lastFilterCell, []excelize.AutoFilterOptions{})
+	}
+	for i, col := range columns {
+		colName, _ := excelize.ColumnNumberToName(i + 1)
+		width := productPerformanceExcelColumnWidth(col.Header, col.Kind)
+		_ = f.SetColWidth(sheet, colName, colName, width)
+		if lastRow >= 2 {
+			style := decimalStyle
+			switch col.Kind {
+			case "text":
+				style = textStyle
+			case "int":
+				style = intStyle
+			case "percent":
+				style = percentStyle
+			}
+			_ = f.SetCellStyle(sheet, fmt.Sprintf("%s2", colName), fmt.Sprintf("%s%d", colName, lastRow), style)
+		}
+	}
+	_ = f.SetPanes(sheet, &excelize.Panes{
+		Freeze:      true,
+		Split:       false,
+		XSplit:      0,
+		YSplit:      1,
+		TopLeftCell: "A2",
+		ActivePane:  "bottomLeft",
+	})
+	return f, nil
+}
+
+func productPerformanceExcelColumns() []productPerformanceExcelColumn {
+	return []productPerformanceExcelColumn{
+		{Header: "KPI Tarihi", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.KpiDate
+		}},
+		{Header: "Ürün İlk Grubu", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelCleanOptional(r.UrunIlkGrubu)
+		}},
+		{Header: "Askılı/Yan", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelCleanOptional(r.AskiliYan)
+		}},
+		{Header: "Kategori", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.Kategori
+		}},
+		{Header: "Ürün Ana Grubu", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.UrunAnaGrubu
+		}},
+		{Header: "Ürün Alt Grubu", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.UrunAltGrubu
+		}},
+		{Header: "Ürün", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.ProductCode
+		}},
+		{Header: "Açıklama", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.ItemDescription
+		}},
+		{Header: "Renk", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.ColorCode
+		}},
+		{Header: "Renk Açıklama", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.ColorDescription
+		}},
+		{Header: "Yaka", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.YakaKodu
+		}},
+		{Header: "Renk/Yaka", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelColorYaka(r)
+		}},
+		{Header: "Toplam Stok", Kind: "int", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.StockQty
+		}},
+
+		{Header: "90G Toplam Adet", Kind: "int", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.SalesQty90
+		}},
+		{Header: "90G Toplam Ciro USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.SalesUSD90
+		}},
+		{Header: "90G Ağ. Ort. Fiyat USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelAvgPrice(r.SalesUSD90, r.SalesQty90)
+		}},
+		{Header: "90G Ağ. Ort. Stok Gün", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.StockDays90
+		}},
+		{Header: "90G Stok Devir", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(r.StockTurnover90, productPerformanceExcelStockTurnover(r.SalesQty90, r.StockQty))
+		}},
+		{Header: "90G Ort. Taban Maliyet USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.BasePriceUSD
+		}},
+		{Header: "90G Ort. Çıplak Maliyet USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.CostPriceUSD
+		}},
+		{Header: "90G Ağ. Ort. Birim Taban K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelUnitProfit(r.SalesUSD90, r.SalesQty90, r.BasePriceUSD)
+		}},
+		{Header: "90G Ağ. Ort. Birim Çıplak K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelUnitProfit(r.SalesUSD90, r.SalesQty90, r.CostPriceUSD)
+		}},
+		{Header: "90G Taban Toplam K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelGrossProfit(r.SalesUSD90, r.SalesQty90, r.BasePriceUSD)
+		}},
+		{Header: "90G Çıplak Toplam K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelGrossProfit(r.SalesUSD90, r.SalesQty90, r.CostPriceUSD)
+		}},
+		{Header: "90G Taban Marj", Kind: "percent", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelMargin(r.SalesUSD90, r.SalesQty90, r.BasePriceUSD)
+		}},
+		{Header: "90G Çıplak Marj", Kind: "percent", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelMargin(r.SalesUSD90, r.SalesQty90, r.CostPriceUSD)
+		}},
+		{Header: "90G Tekil Piyasa", Kind: "int", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.MarketCount90
+		}},
+		{Header: "90G Tekil Müşteri", Kind: "int", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.CustomerCount90
+		}},
+		{Header: "90G Endeks", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, stats productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(r.SalesIndex90, productPerformanceExcelRelativeIndex(r.SalesUSD90, stats.AvgSalesUSD90))
+		}},
+		{Header: "90G Ürün Skor", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, stats productPerformanceExcelStats) any {
+			if strings.TrimSpace(r.PerformanceBucket) != "" {
+				return r.PerformanceScore
+			}
+			return productPerformanceExcelProductScore("90d", r.SalesUSD90, productPerformanceExcelRelativeIndex(r.SalesUSD90, stats.AvgSalesUSD90), productPerformanceExcelMargin(r.SalesUSD90, r.SalesQty90, r.CostPriceUSD), productPerformanceExcelStockTurnover(r.SalesQty90, r.StockQty), float64(r.MarketCount90), float64(r.CustomerCount90))
+		}},
+
+		{Header: "180G Toplam Adet", Kind: "int", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.SalesQty180
+		}},
+		{Header: "180G Toplam Ciro USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.SalesUSD180
+		}},
+		{Header: "180G Ağ. Ort. Fiyat USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelAvgPrice(r.SalesUSD180, r.SalesQty180)
+		}},
+		{Header: "180G Ağ. Ort. Stok Gün", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.StockDays180
+		}},
+		{Header: "180G Stok Devir", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(r.StockTurnover180, productPerformanceExcelStockTurnover(r.SalesQty180, r.StockQty))
+		}},
+		{Header: "180G Ort. Taban Maliyet USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.BasePriceUSD
+		}},
+		{Header: "180G Ort. Çıplak Maliyet USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.CostPriceUSD
+		}},
+		{Header: "180G Taban Toplam K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelGrossProfit(r.SalesUSD180, r.SalesQty180, r.BasePriceUSD)
+		}},
+		{Header: "180G Çıplak Toplam K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelGrossProfit(r.SalesUSD180, r.SalesQty180, r.CostPriceUSD)
+		}},
+		{Header: "180G Taban Marj", Kind: "percent", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelMargin(r.SalesUSD180, r.SalesQty180, r.BasePriceUSD)
+		}},
+		{Header: "180G Çıplak Marj", Kind: "percent", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelMargin(r.SalesUSD180, r.SalesQty180, r.CostPriceUSD)
+		}},
+		{Header: "180G Ürün Skor", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, stats productPerformanceExcelStats) any {
+			return productPerformanceExcelProductScore("180d", r.SalesUSD180, productPerformanceExcelRelativeIndex(r.SalesUSD180, stats.AvgSalesUSD180), productPerformanceExcelMargin(r.SalesUSD180, r.SalesQty180, r.CostPriceUSD), productPerformanceExcelStockTurnover(r.SalesQty180, r.StockQty), productPerformanceExcelFirstNonZero(float64(g.MarketCountTotal), float64(r.MarketCount90)), productPerformanceExcelFirstNonZero(float64(g.CustomerCountTotal), float64(r.CustomerCount90)))
+		}},
+
+		{Header: "360G Toplam Adet", Kind: "int", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.SalesQty365
+		}},
+		{Header: "360G Toplam Ciro USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.SalesUSD365
+		}},
+		{Header: "360G Ağ. Ort. Fiyat USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelAvgPrice(r.SalesUSD365, r.SalesQty365)
+		}},
+		{Header: "360G Ağ. Ort. Stok Gün", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.StockDays365
+		}},
+		{Header: "360G Stok Devir", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(r.StockTurnover365, productPerformanceExcelStockTurnover(r.SalesQty365, r.StockQty))
+		}},
+		{Header: "360G Ort. Taban Maliyet USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.BasePriceUSD
+		}},
+		{Header: "360G Ort. Çıplak Maliyet USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.CostPriceUSD
+		}},
+		{Header: "360G Taban Toplam K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelGrossProfit(r.SalesUSD365, r.SalesQty365, r.BasePriceUSD)
+		}},
+		{Header: "360G Çıplak Toplam K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelGrossProfit(r.SalesUSD365, r.SalesQty365, r.CostPriceUSD)
+		}},
+		{Header: "360G Taban Marj", Kind: "percent", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelMargin(r.SalesUSD365, r.SalesQty365, r.BasePriceUSD)
+		}},
+		{Header: "360G Çıplak Marj", Kind: "percent", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelMargin(r.SalesUSD365, r.SalesQty365, r.CostPriceUSD)
+		}},
+		{Header: "360G Ürün Skor", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, stats productPerformanceExcelStats) any {
+			return productPerformanceExcelProductScore("365d", r.SalesUSD365, productPerformanceExcelRelativeIndex(r.SalesUSD365, stats.AvgSalesUSD365), productPerformanceExcelMargin(r.SalesUSD365, r.SalesQty365, r.CostPriceUSD), productPerformanceExcelStockTurnover(r.SalesQty365, r.StockQty), productPerformanceExcelFirstNonZero(float64(g.MarketCountTotal), float64(r.MarketCount90)), productPerformanceExcelFirstNonZero(float64(g.CustomerCountTotal), float64(r.CustomerCount90)))
+		}},
+
+		{Header: "Genel Toplam Adet", Kind: "int", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelTotalSalesQty(r, g)
+		}},
+		{Header: "Genel Toplam Ciro USD", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelTotalSalesUSD(r, g)
+		}},
+		{Header: "Genel Ağ. Ort. Fiyat USD", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(g.AvgPriceUSDTotal, productPerformanceExcelAvgPrice(productPerformanceExcelTotalSalesUSD(r, g), productPerformanceExcelTotalSalesQty(r, g)))
+		}},
+		{Header: "Genel Ağ. Ort. Stok Gün", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(g.StockDaysTotal, r.StockDaysTotal)
+		}},
+		{Header: "Genel Stok Devir", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(r.StockTurnoverTotal, productPerformanceExcelStockTurnover(productPerformanceExcelTotalSalesQty(r, g), r.StockQty))
+		}},
+		{Header: "Genel Ort. Taban Maliyet USD", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(g.BasePriceUSD, r.BasePriceUSD)
+		}},
+		{Header: "Genel Ort. Çıplak Maliyet USD", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(g.CostPriceUSD, r.CostPriceUSD)
+		}},
+		{Header: "Genel Taban Toplam K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelGrossProfit(productPerformanceExcelTotalSalesUSD(r, g), productPerformanceExcelTotalSalesQty(r, g), productPerformanceExcelFirstNonZero(g.BasePriceUSD, r.BasePriceUSD))
+		}},
+		{Header: "Genel Çıplak Toplam K/Z USD", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelGrossProfit(productPerformanceExcelTotalSalesUSD(r, g), productPerformanceExcelTotalSalesQty(r, g), productPerformanceExcelFirstNonZero(g.CostPriceUSD, r.CostPriceUSD))
+		}},
+		{Header: "Genel Taban Marj", Kind: "percent", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelMargin(productPerformanceExcelTotalSalesUSD(r, g), productPerformanceExcelTotalSalesQty(r, g), productPerformanceExcelFirstNonZero(g.BasePriceUSD, r.BasePriceUSD))
+		}},
+		{Header: "Genel Çıplak Marj", Kind: "percent", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelMargin(productPerformanceExcelTotalSalesUSD(r, g), productPerformanceExcelTotalSalesQty(r, g), productPerformanceExcelFirstNonZero(g.CostPriceUSD, r.CostPriceUSD))
+		}},
+		{Header: "Genel Tekil Piyasa", Kind: "int", Value: func(_ models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return g.MarketCountTotal
+		}},
+		{Header: "Genel Tekil Müşteri", Kind: "int", Value: func(_ models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return g.CustomerCountTotal
+		}},
+		{Header: "Genel Fatura", Kind: "int", Value: func(_ models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return g.InvoiceCountTotal
+		}},
+		{Header: "Genel Endeks", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, stats productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonZero(g.SalesIndexTotal, productPerformanceExcelRelativeIndex(productPerformanceExcelTotalSalesUSD(r, g), stats.AvgSalesUSDTotal))
+		}},
+		{Header: "Genel Ürün Skor", Kind: "number", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, stats productPerformanceExcelStats) any {
+			if strings.TrimSpace(g.PerformanceBucket) != "" {
+				return g.PerformanceScore
+			}
+			return productPerformanceExcelProductScore("total", productPerformanceExcelTotalSalesUSD(r, g), productPerformanceExcelRelativeIndex(productPerformanceExcelTotalSalesUSD(r, g), stats.AvgSalesUSDTotal), productPerformanceExcelMargin(productPerformanceExcelTotalSalesUSD(r, g), productPerformanceExcelTotalSalesQty(r, g), productPerformanceExcelFirstNonZero(g.CostPriceUSD, r.CostPriceUSD)), productPerformanceExcelStockTurnover(productPerformanceExcelTotalSalesQty(r, g), r.StockQty), float64(g.MarketCountTotal), float64(g.CustomerCountTotal))
+		}},
+		{Header: "Durum", Kind: "text", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelBucketLabel(productPerformanceExcelFirstNonEmpty(g.PerformanceBucket, r.PerformanceBucket))
+		}},
+		{Header: "Öneri", Kind: "text", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonEmpty(g.Recommendation, r.Recommendation)
+		}},
+		{Header: "Son Satış", Kind: "text", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonEmpty(g.LastSaleDate, r.LastSaleDate)
+		}},
+		{Header: "Son Ref", Kind: "text", Value: func(r models.ProductPerformanceRow, g models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return productPerformanceExcelFirstNonEmpty(g.LastRefNumber, r.LastRefNumber)
+		}},
+		{Header: "Güncelleme", Kind: "text", Value: func(r models.ProductPerformanceRow, _ models.ProductPerformanceGeneralRow, _ productPerformanceExcelStats) any {
+			return r.UpdatedAt
+		}},
+	}
+}
+
+func productPerformanceExcelGeneralMap(rows []models.ProductPerformanceGeneralRow) map[string]models.ProductPerformanceGeneralRow {
+	out := make(map[string]models.ProductPerformanceGeneralRow, len(rows))
+	for _, row := range rows {
+		out[productPerformanceExcelVariantKey(row.ProductCode, row.ColorCode, row.YakaKodu)] = row
+	}
+	return out
+}
+
+func filterProductPerformanceExcelRows(rows []models.ProductPerformanceRow, generalByKey map[string]models.ProductPerformanceGeneralRow, filters map[string][]string) []models.ProductPerformanceRow {
+	if len(filters) == 0 {
+		return rows
+	}
+	out := make([]models.ProductPerformanceRow, 0, len(rows))
+	for _, row := range rows {
+		general := generalByKey[productPerformanceExcelVariantKey(row.ProductCode, row.ColorCode, row.YakaKodu)]
+		if productPerformanceExcelRowMatchesFilters(row, general, filters) {
+			out = append(out, row)
+		}
+	}
+	return out
+}
+
+func productPerformanceExcelRowMatchesFilters(row models.ProductPerformanceRow, general models.ProductPerformanceGeneralRow, filters map[string][]string) bool {
+	for field, values := range filters {
+		selected := productPerformanceExcelSelectedSet(values)
+		if len(selected) == 0 {
+			continue
+		}
+		matched := false
+		for _, candidate := range productPerformanceExcelFilterCandidates(row, general, field) {
+			if selected[productPerformanceExcelNormalize(candidate)] {
+				matched = true
+				break
+			}
+		}
+		if !matched {
+			return false
+		}
+	}
+	return true
+}
+
+func productPerformanceExcelSelectedSet(values []string) map[string]bool {
+	out := make(map[string]bool, len(values))
+	for _, value := range values {
+		value = productPerformanceExcelNormalize(value)
+		if value != "" {
+			out[value] = true
+		}
+	}
+	return out
+}
+
+func productPerformanceExcelFilterCandidates(row models.ProductPerformanceRow, general models.ProductPerformanceGeneralRow, field string) []string {
+	switch strings.TrimSpace(field) {
+	case "product_code":
+		return []string{row.ProductCode}
+	case "item_description":
+		return []string{row.ItemDescription}
+	case "color_code":
+		return []string{row.ColorCode}
+	case "yaka_kodu":
+		return []string{row.YakaKodu}
+	case "color_yaka":
+		return []string{productPerformanceExcelColorYaka(row), row.ColorCode + "/" + row.YakaKodu}
+	case "kategori":
+		return []string{row.Kategori}
+	case "askili_yan":
+		return []string{productPerformanceExcelCleanOptional(row.AskiliYan)}
+	case "urun_ilk_grubu":
+		return []string{productPerformanceExcelCleanOptional(row.UrunIlkGrubu)}
+	case "urun_ana_grubu":
+		return []string{productPerformanceExcelFirstNonEmpty(general.UrunAnaGrubu, row.UrunAnaGrubu)}
+	case "urun_alt_grubu":
+		return []string{row.UrunAltGrubu}
+	case "market_key":
+		return []string{row.MarketKey, productPerformanceExcelMarketName(row.MarketKey)}
+	case "performance_bucket":
+		bucket := productPerformanceExcelFirstNonEmpty(general.PerformanceBucket, row.PerformanceBucket)
+		return []string{bucket, productPerformanceExcelBucketLabel(bucket)}
+	default:
+		return nil
+	}
+}
+
+func sortProductPerformanceExcelRows(rows []models.ProductPerformanceRow, generalByKey map[string]models.ProductPerformanceGeneralRow, sortBy string, desc bool) {
+	sortBy = strings.TrimSpace(sortBy)
+	if sortBy == "" || sortBy == "image" {
+		sortBy = "product_code"
+		desc = false
+	}
+	sort.SliceStable(rows, func(i, j int) bool {
+		left := rows[i]
+		right := rows[j]
+		leftGen := generalByKey[productPerformanceExcelVariantKey(left.ProductCode, left.ColorCode, left.YakaKodu)]
+		rightGen := generalByKey[productPerformanceExcelVariantKey(right.ProductCode, right.ColorCode, right.YakaKodu)]
+		cmp := productPerformanceExcelCompareSort(left, leftGen, right, rightGen, sortBy)
+		if cmp == 0 {
+			cmp = strings.Compare(productPerformanceExcelHierarchySortKey(left), productPerformanceExcelHierarchySortKey(right))
+		}
+		if desc {
+			return cmp > 0
+		}
+		return cmp < 0
+	})
+}
+
+func productPerformanceExcelCompareSort(left models.ProductPerformanceRow, leftGen models.ProductPerformanceGeneralRow, right models.ProductPerformanceRow, rightGen models.ProductPerformanceGeneralRow, sortBy string) int {
+	leftNum, rightNum, numeric := productPerformanceExcelSortNumeric(left, leftGen, sortBy), productPerformanceExcelSortNumeric(right, rightGen, sortBy), productPerformanceExcelIsNumericSort(sortBy)
+	if numeric {
+		if leftNum < rightNum {
+			return -1
+		}
+		if leftNum > rightNum {
+			return 1
+		}
+		return 0
+	}
+	leftText := productPerformanceExcelSortText(left, leftGen, sortBy)
+	rightText := productPerformanceExcelSortText(right, rightGen, sortBy)
+	return strings.Compare(productPerformanceExcelNormalize(leftText), productPerformanceExcelNormalize(rightText))
+}
+
+func productPerformanceExcelIsNumericSort(sortBy string) bool {
+	switch sortBy {
+	case "stock_qty", "sales_qty_90d", "sales_qty_180d", "sales_qty_365d", "sales_qty_total",
+		"sales_usd_90d", "sales_usd_180d", "sales_usd_365d", "sales_usd_total",
+		"avg_price_usd_90d", "avg_price_usd_180d", "avg_price_usd_365d", "avg_price_usd_total",
+		"stock_days_90d", "stock_days_180d", "stock_days_365d", "stock_days_total",
+		"stock_turnover_90d", "stock_turnover_180d", "stock_turnover_365d", "stock_turnover_total",
+		"base_price_usd", "cost_price_usd", "market_count_90d", "customer_count_90d", "market_count_total", "customer_count_total",
+		"sales_index_90d", "sales_index_total", "performance_score", "performance_score_90d", "performance_score_total":
+		return true
+	default:
+		return false
+	}
+}
+
+func productPerformanceExcelSortNumeric(row models.ProductPerformanceRow, general models.ProductPerformanceGeneralRow, sortBy string) float64 {
+	switch sortBy {
+	case "stock_qty":
+		return row.StockQty
+	case "sales_qty_90d":
+		return row.SalesQty90
+	case "sales_qty_180d":
+		return row.SalesQty180
+	case "sales_qty_365d":
+		return row.SalesQty365
+	case "sales_qty_total":
+		return productPerformanceExcelTotalSalesQty(row, general)
+	case "sales_usd_90d":
+		return row.SalesUSD90
+	case "sales_usd_180d":
+		return row.SalesUSD180
+	case "sales_usd_365d":
+		return row.SalesUSD365
+	case "sales_usd_total":
+		return productPerformanceExcelTotalSalesUSD(row, general)
+	case "avg_price_usd_90d":
+		return productPerformanceExcelAvgPrice(row.SalesUSD90, row.SalesQty90)
+	case "avg_price_usd_180d":
+		return productPerformanceExcelAvgPrice(row.SalesUSD180, row.SalesQty180)
+	case "avg_price_usd_365d":
+		return productPerformanceExcelAvgPrice(row.SalesUSD365, row.SalesQty365)
+	case "avg_price_usd_total":
+		return productPerformanceExcelFirstNonZero(general.AvgPriceUSDTotal, productPerformanceExcelAvgPrice(productPerformanceExcelTotalSalesUSD(row, general), productPerformanceExcelTotalSalesQty(row, general)))
+	case "stock_days_90d":
+		return row.StockDays90
+	case "stock_days_180d":
+		return row.StockDays180
+	case "stock_days_365d":
+		return row.StockDays365
+	case "stock_days_total":
+		return productPerformanceExcelFirstNonZero(general.StockDaysTotal, row.StockDaysTotal)
+	case "stock_turnover_90d":
+		return row.StockTurnover90
+	case "stock_turnover_180d":
+		return row.StockTurnover180
+	case "stock_turnover_365d":
+		return row.StockTurnover365
+	case "stock_turnover_total":
+		return row.StockTurnoverTotal
+	case "base_price_usd":
+		return productPerformanceExcelFirstNonZero(general.BasePriceUSD, row.BasePriceUSD)
+	case "cost_price_usd":
+		return productPerformanceExcelFirstNonZero(general.CostPriceUSD, row.CostPriceUSD)
+	case "market_count_90d":
+		return float64(row.MarketCount90)
+	case "customer_count_90d":
+		return float64(row.CustomerCount90)
+	case "market_count_total":
+		return float64(general.MarketCountTotal)
+	case "customer_count_total":
+		return float64(general.CustomerCountTotal)
+	case "sales_index_90d":
+		return row.SalesIndex90
+	case "sales_index_total":
+		return general.SalesIndexTotal
+	case "performance_score", "performance_score_90d":
+		return row.PerformanceScore
+	case "performance_score_total":
+		return general.PerformanceScore
+	default:
+		return 0
+	}
+}
+
+func productPerformanceExcelSortText(row models.ProductPerformanceRow, general models.ProductPerformanceGeneralRow, sortBy string) string {
+	switch sortBy {
+	case "product_code":
+		return row.ProductCode
+	case "color_yaka":
+		return productPerformanceExcelColorYaka(row)
+	case "color_code":
+		return row.ColorCode
+	case "yaka_kodu":
+		return row.YakaKodu
+	case "item_description":
+		return row.ItemDescription
+	case "kategori":
+		return row.Kategori
+	case "askili_yan":
+		return productPerformanceExcelCleanOptional(row.AskiliYan)
+	case "urun_ilk_grubu":
+		return productPerformanceExcelCleanOptional(row.UrunIlkGrubu)
+	case "urun_ana_grubu":
+		return productPerformanceExcelFirstNonEmpty(general.UrunAnaGrubu, row.UrunAnaGrubu)
+	case "urun_alt_grubu":
+		return row.UrunAltGrubu
+	case "market_key":
+		return productPerformanceExcelMarketName(row.MarketKey)
+	case "performance_bucket":
+		return productPerformanceExcelBucketLabel(productPerformanceExcelFirstNonEmpty(general.PerformanceBucket, row.PerformanceBucket))
+	default:
+		return productPerformanceExcelHierarchySortKey(row)
+	}
+}
+
+func productPerformanceExcelHierarchySortKey(row models.ProductPerformanceRow) string {
+	return strings.Join([]string{
+		productPerformanceExcelCleanOptional(row.UrunIlkGrubu),
+		productPerformanceExcelCleanOptional(row.AskiliYan),
+		row.Kategori,
+		row.UrunAnaGrubu,
+		row.UrunAltGrubu,
+		row.ProductCode,
+		row.ColorCode,
+		row.YakaKodu,
+	}, "|")
+}
+
+func productPerformanceExcelStatsFor(rows []models.ProductPerformanceRow, generalByKey map[string]models.ProductPerformanceGeneralRow) productPerformanceExcelStats {
+	var stats productPerformanceExcelStats
+	var c90, c180, c365, cTotal float64
+	for _, row := range rows {
+		general := generalByKey[productPerformanceExcelVariantKey(row.ProductCode, row.ColorCode, row.YakaKodu)]
+		if row.SalesUSD90 > 0 {
+			stats.AvgSalesUSD90 += row.SalesUSD90
+			c90++
+		}
+		if row.SalesUSD180 > 0 {
+			stats.AvgSalesUSD180 += row.SalesUSD180
+			c180++
+		}
+		if row.SalesUSD365 > 0 {
+			stats.AvgSalesUSD365 += row.SalesUSD365
+			c365++
+		}
+		if total := productPerformanceExcelTotalSalesUSD(row, general); total > 0 {
+			stats.AvgSalesUSDTotal += total
+			cTotal++
+		}
+	}
+	if c90 > 0 {
+		stats.AvgSalesUSD90 /= c90
+	}
+	if c180 > 0 {
+		stats.AvgSalesUSD180 /= c180
+	}
+	if c365 > 0 {
+		stats.AvgSalesUSD365 /= c365
+	}
+	if cTotal > 0 {
+		stats.AvgSalesUSDTotal /= cTotal
+	}
+	return stats
+}
+
+func productPerformanceExcelVariantKey(productCode, colorCode, yakaKodu string) string {
+	return strings.ToUpper(strings.TrimSpace(productCode)) + "|" + strings.ToUpper(strings.TrimSpace(colorCode)) + "|" + strings.ToUpper(strings.TrimSpace(yakaKodu))
+}
+
+func productPerformanceExcelColorYaka(row models.ProductPerformanceRow) string {
+	color := strings.TrimSpace(row.ColorCode)
+	if desc := strings.TrimSpace(row.ColorDescription); color != "" && desc != "" {
+		color = color + "-" + strings.ToUpper(desc)
+	}
+	yaka := strings.TrimSpace(row.YakaKodu)
+	parts := make([]string, 0, 2)
+	if color != "" && color != "-" {
+		parts = append(parts, color)
+	}
+	if yaka != "" && yaka != "-" {
+		parts = append(parts, yaka)
+	}
+	return strings.Join(parts, "/")
+}
+
+func productPerformanceExcelMarketName(value string) string {
+	parts := strings.Split(value, "|")
+	for i := len(parts) - 1; i >= 0; i-- {
+		part := strings.TrimSpace(parts[i])
+		if part != "" {
+			return part
+		}
+	}
+	return ""
+}
+
+func productPerformanceExcelBucketLabel(value string) string {
+	switch strings.TrimSpace(value) {
+	case "YILDIZ_URUN":
+		return "Yıldız Ürün"
+	case "STOKSUZ_TALEP":
+		return "Stoksuz Talep"
+	case "STOK_RISKI":
+		return "Stok Riski"
+	case "FIYAT_BASKISI":
+		return "Fiyat Baskısı"
+	case "FIYAT_FIRSATI":
+		return "Fiyat Fırsatı"
+	case "MALIYET_YOK":
+		return "Maliyet Yok"
+	case "TAKIP":
+		return "Takip"
+	default:
+		return strings.TrimSpace(value)
+	}
+}
+
+func productPerformanceExcelCleanOptional(value string) string {
+	value = strings.TrimSpace(value)
+	if value == "-" {
+		return ""
+	}
+	return value
+}
+
+func productPerformanceExcelNormalize(value string) string {
+	return strings.ToUpper(strings.TrimSpace(value))
+}
+
+func productPerformanceExcelFirstNonEmpty(values ...string) string {
+	for _, value := range values {
+		value = strings.TrimSpace(value)
+		if value != "" {
+			return value
+		}
+	}
+	return ""
+}
+
+func productPerformanceExcelFirstNonZero(values ...float64) float64 {
+	for _, value := range values {
+		if value != 0 && !math.IsNaN(value) && !math.IsInf(value, 0) {
+			return value
+		}
+	}
+	return 0
+}
+
+func productPerformanceExcelTotalSalesQty(row models.ProductPerformanceRow, general models.ProductPerformanceGeneralRow) float64 {
+	return productPerformanceExcelFirstNonZero(general.SalesQtyTotal, row.SalesQtyTotal)
+}
+
+func productPerformanceExcelTotalSalesUSD(row models.ProductPerformanceRow, general models.ProductPerformanceGeneralRow) float64 {
+	return productPerformanceExcelFirstNonZero(general.SalesUSDTotal, row.SalesUSDTotal)
+}
+
+func productPerformanceExcelAvgPrice(salesUSD, qty float64) float64 {
+	if qty == 0 {
+		return 0
+	}
+	return salesUSD / qty
+}
+
+func productPerformanceExcelStockTurnover(salesQty, stockQty float64) float64 {
+	if stockQty <= 0 {
+		return 0
+	}
+	return salesQty / stockQty
+}
+
+func productPerformanceExcelUnitProfit(salesUSD, qty, unitCost float64) float64 {
+	if qty <= 0 {
+		return 0
+	}
+	return (salesUSD / qty) - unitCost
+}
+
+func productPerformanceExcelGrossProfit(salesUSD, qty, unitCost float64) float64 {
+	if qty <= 0 {
+		return 0
+	}
+	return salesUSD - qty*unitCost
+}
+
+func productPerformanceExcelMargin(salesUSD, qty, unitCost float64) float64 {
+	if salesUSD == 0 {
+		return 0
+	}
+	return productPerformanceExcelGrossProfit(salesUSD, qty, unitCost) / salesUSD
+}
+
+func productPerformanceExcelRelativeIndex(value, average float64) float64 {
+	if value <= 0 || average <= 0 {
+		return 0
+	}
+	return value / average
+}
+
+func productPerformanceExcelProductScore(suffix string, salesUSD, salesIndex, margin, stockTurnover, marketCount, customerCount float64) float64 {
+	revenue := productPerformanceExcelRatioScore(salesIndex, 2)
+	if revenue == 0 {
+		revenue = productPerformanceExcelRatioScore(salesUSD, productPerformanceExcelProductRevenueTarget(suffix))
+	}
+	score := 0.30*productPerformanceExcelMarginScore(margin) +
+		0.20*productPerformanceExcelRatioScore(stockTurnover, 1.50) +
+		0.20*revenue +
+		0.15*productPerformanceExcelRatioScore(marketCount, 8) +
+		0.15*productPerformanceExcelRatioScore(customerCount, 25)
+	return productPerformanceExcelRoundScore(score)
+}
+
+func productPerformanceExcelProductRevenueTarget(suffix string) float64 {
+	switch suffix {
+	case "180d":
+		return 20000
+	case "365d":
+		return 40000
+	case "total":
+		return 120000
+	default:
+		return 10000
+	}
+}
+
+func productPerformanceExcelMarginScore(margin float64) float64 {
+	if margin < 0 {
+		margin = 0
+	}
+	return productPerformanceExcelRatioScore(margin, 0.40)
+}
+
+func productPerformanceExcelRatioScore(value, target float64) float64 {
+	if target <= 0 || value <= 0 {
+		return 0
+	}
+	score := value * 100 / target
+	if score > 100 {
+		return 100
+	}
+	if score < 0 {
+		return 0
+	}
+	return score
+}
+
+func productPerformanceExcelRoundScore(score float64) float64 {
+	if score < 0 {
+		score = 0
+	}
+	if score > 100 {
+		score = 100
+	}
+	return math.Round(score*10000) / 10000
+}
+
+func productPerformanceExcelFloat(value any) float64 {
+	switch v := value.(type) {
+	case float64:
+		if math.IsNaN(v) || math.IsInf(v, 0) {
+			return 0
+		}
+		return v
+	case float32:
+		return productPerformanceExcelFloat(float64(v))
+	case int:
+		return float64(v)
+	case int64:
+		return float64(v)
+	case int32:
+		return float64(v)
+	case uint:
+		return float64(v)
+	case uint64:
+		return float64(v)
+	case uint32:
+		return float64(v)
+	default:
+		return 0
+	}
+}
+
+func productPerformanceExcelColumnWidth(header, kind string) float64 {
+	if kind == "text" {
+		if len([]rune(header)) > 14 {
+			return 24
+		}
+		return 16
+	}
+	if strings.Contains(header, "Marj") || strings.Contains(header, "Skor") || strings.Contains(header, "Endeks") {
+		return 14
+	}
+	return 16
+}

ui/src/pages/OrderPriceList.vue

@@ -1289,8 +1289,6 @@ function normalizeUploadsPath (storagePath) {
 
 function resolveProductImageUrl (item) {
   if (!item || typeof item !== 'object') return ''
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) return `/api/product-images/${imageId}/content`
   const thumbUrl = toText(item.thumb_url || item.thumbUrl)
   if (thumbUrl) return thumbUrl
   const fullUrl = toText(item.full_url || item.fullUrl)

ui/src/pages/ProductPerformanceProfitability.vue

@@ -60,6 +60,7 @@
             </div>
           </div>
         </q-btn-dropdown>
+        <q-btn dense outline color="positive" icon="grid_on" label="Excel" :loading="excelExportLoading" :disable="pageBusy || excelExportLoading" @click="exportProductPerformanceExcel" />
         <q-btn dense outline color="secondary" icon="refresh" label="Yenile" :loading="loading" :disable="pageBusy" @click="reload" />
       </div>
     </div>
@@ -1520,7 +1521,7 @@
 <script setup>
 import { computed, nextTick, onBeforeUnmount, onMounted, reactive, ref, watch } from 'vue'
 import { Notify } from 'quasar'
-import api from 'src/services/api'
+import api, { extractApiErrorDetail } from 'src/services/api'
 import { useProductPerformanceStore } from 'src/stores/productPerformanceStore'
 
 const performanceStore = useProductPerformanceStore()
@@ -1544,6 +1545,7 @@ function formatPercent (value) {
 }
 
 const loading = ref(false)
+const excelExportLoading = ref(false)
 const rows = ref([])
 const detailMainGroupOptionRows = ref([])
 const generalRows = ref([])
@@ -1658,6 +1660,18 @@ const backendGroupedFilterFields = new Set([
   'customer_name',
   'performance_bucket'
 ])
+const productPerformanceExcelExportFilterFields = new Set([
+  'kategori',
+  'askili_yan',
+  'urun_ilk_grubu',
+  'urun_ana_grubu',
+  'urun_alt_grubu',
+  'product_code',
+  'color_yaka',
+  'color_code',
+  'yaka_kodu',
+  'performance_bucket'
+])
 const performanceTabs = [
   { name: 'products', icon: 'dashboard', label: 'Genel Özet KPI' },
   { name: 'product_detail', icon: 'category', label: 'Detay KPI' },
@@ -2312,6 +2326,105 @@ const customerPeriodScoreColumns = [
   { name: 'customer_score_total', label: 'Genel Müşteri Skor', field: row => formatNumber(row.customer_score_total, 2), align: 'right', sortable: true }
 ]
 
+const metricLabelOverrides = {
+  stock_qty: 'Toplam Stok',
+  sales_qty: 'Toplam Adet',
+  sales_qty_90d: '90G Toplam Adet',
+  sales_qty_180d: '180G Toplam Adet',
+  sales_qty_365d: '360G Toplam Adet',
+  sales_qty_total: 'Genel Toplam Adet',
+  sales_usd: 'Toplam Ciro USD',
+  sales_usd_90d: '90G Toplam Ciro USD',
+  sales_usd_180d: '180G Toplam Ciro USD',
+  sales_usd_365d: '360G Toplam Ciro USD',
+  sales_usd_total: 'Genel Toplam Ciro USD',
+  avg_price_usd: 'Ağ. Ort. Fiyat USD',
+  avg_price_usd_90d: '90G Ağ. Ort. Fiyat USD',
+  avg_price_usd_180d: '180G Ağ. Ort. Fiyat USD',
+  avg_price_usd_365d: '360G Ağ. Ort. Fiyat USD',
+  avg_price_usd_total: 'Genel Ağ. Ort. Fiyat USD',
+  base_price_usd: 'Ort. Taban Maliyet USD',
+  cost_price_usd: 'Ort. Çıplak Maliyet USD',
+  base_price_usd_90d: '90G Ort. Taban Maliyet USD',
+  cost_price_usd_90d: '90G Ort. Çıplak Maliyet USD',
+  base_price_usd_180d: '180G Ort. Taban Maliyet USD',
+  cost_price_usd_180d: '180G Ort. Çıplak Maliyet USD',
+  base_price_usd_365d: '360G Ort. Taban Maliyet USD',
+  cost_price_usd_365d: '360G Ort. Çıplak Maliyet USD',
+  base_price_usd_total: 'Genel Ort. Taban Maliyet USD',
+  cost_price_usd_total: 'Genel Ort. Çıplak Maliyet USD',
+  unit_profit_base_90d: '90G Ağ. Ort. Birim Taban K/Z USD',
+  unit_profit_cost_90d: '90G Ağ. Ort. Birim Çıplak K/Z USD',
+  unit_profit_base_180d: '180G Ağ. Ort. Birim Taban K/Z USD',
+  unit_profit_cost_180d: '180G Ağ. Ort. Birim Çıplak K/Z USD',
+  unit_profit_base_total: 'Genel Ağ. Ort. Birim Taban K/Z USD',
+  unit_profit_cost_total: 'Genel Ağ. Ort. Birim Çıplak K/Z USD',
+  gross_profit_usd_90d: '90G Toplam K/Z USD',
+  gross_profit_usd_180d: '180G Toplam K/Z USD',
+  gross_profit_usd_total: 'Genel Toplam K/Z USD',
+  gross_profit_base_usd_90d: '90G Taban Toplam K/Z USD',
+  gross_profit_cost_usd_90d: '90G Çıplak Toplam K/Z USD',
+  gross_profit_base_usd_180d: '180G Taban Toplam K/Z USD',
+  gross_profit_cost_usd_180d: '180G Çıplak Toplam K/Z USD',
+  gross_profit_base_usd_365d: '360G Taban Toplam K/Z USD',
+  gross_profit_cost_usd_365d: '360G Çıplak Toplam K/Z USD',
+  gross_profit_base_usd_total: 'Genel Taban Toplam K/Z USD',
+  gross_profit_cost_usd_total: 'Genel Çıplak Toplam K/Z USD',
+  gross_margin_base_90d: '90G Ağ. Ort. Taban Marj',
+  gross_margin_cost_90d: '90G Ağ. Ort. Çıplak Marj',
+  gross_margin_base_180d: '180G Ağ. Ort. Taban Marj',
+  gross_margin_cost_180d: '180G Ağ. Ort. Çıplak Marj',
+  gross_margin_base_365d: '360G Ağ. Ort. Taban Marj',
+  gross_margin_cost_365d: '360G Ağ. Ort. Çıplak Marj',
+  gross_margin_base_total: 'Genel Ağ. Ort. Taban Marj',
+  gross_margin_cost_total: 'Genel Ağ. Ort. Çıplak Marj',
+  performance_score: 'Ağ. Ort. Skor',
+  performance_score_90d: '90G Ağ. Ort. Ürün Skor',
+  performance_score_180d: '180G Ağ. Ort. Ürün Skor',
+  performance_score_365d: '360G Ağ. Ort. Ürün Skor',
+  performance_score_total: 'Genel Ağ. Ort. Ürün Skor',
+  customer_score_90d: '90G Ağ. Ort. Müşteri Skor',
+  customer_score_180d: '180G Ağ. Ort. Müşteri Skor',
+  customer_score_365d: '360G Ağ. Ort. Müşteri Skor',
+  customer_score_total: 'Genel Ağ. Ort. Müşteri Skor',
+  market_count_90d: '90G Tekil Piyasa',
+  customer_count_90d: '90G Tekil Müşteri',
+  market_count_total: 'Genel Tekil Piyasa',
+  customer_count_total: 'Genel Tekil Müşteri',
+  sales_index_90d: '90G Ağ. Ort. Endeks',
+  sales_index_total: 'Genel Ağ. Ort. Endeks',
+  stock_days_90d: '90G Ağ. Ort. Stok Gün',
+  stock_days_180d: '180G Ağ. Ort. Stok Gün',
+  stock_days_365d: '360G Ağ. Ort. Stok Gün',
+  stock_days_total: 'Genel Ağ. Ort. Stok Gün',
+  avg_daily_sales_total: 'Genel Günlük Ort. Adet'
+}
+
+function applyMetricLabelOverrides (...columnGroups) {
+  for (const group of columnGroups) {
+    for (const col of group || []) {
+      if (metricLabelOverrides[col?.name]) col.label = metricLabelOverrides[col.name]
+    }
+  }
+}
+
+applyMetricLabelOverrides(
+  detailSalesColumns,
+  columns,
+  generalColumns,
+  orderAnalysisColumns,
+  orderGroupColumns,
+  orderProductCustomerColumns,
+  orderMarketDetailColumns,
+  idleColumns,
+  marketColumns,
+  countryColumns,
+  customerColumns,
+  salesBreakdownColumns,
+  productPeriodScoreColumns,
+  customerPeriodScoreColumns
+)
+
 function ensureColumns (targetColumns, columnsToEnsure) {
   const existing = new Set(targetColumns.map(col => col.name))
   for (const col of columnsToEnsure) {
@@ -2922,7 +3035,7 @@ function backendGroupedFilterOptionParams (tabKey) {
     mode: tabKey,
     groupLevels: (tabGroupLevels[tabKey] || groupLevels).map(level => level.key),
     fields,
-    limit: 5000
+    limit: 50000
   }
   if (tabKey === 'product_detail') params.urunAnaGrubu = selectedDetailMainGroup.value
   return params
@@ -3283,7 +3396,9 @@ function makeGroupRow (key, level, groupDef, value, groupRows) {
     sales_index_total: averageRows(groupRows, 'sales_index_total'),
     performance_bucket: dominantValue(groupRows, 'performance_bucket'),
     ...aggregate,
-    performance_score: groupPerformanceScore(aggregate, groupDef.key),
+    performance_score: Object.prototype.hasOwnProperty.call(aggregate, 'performance_score')
+      ? aggregate.performance_score
+      : groupPerformanceScore(aggregate, groupDef.key),
     recommendation: dominantValue(groupRows, 'recommendation') || `${formatNumber(groupRows.length, 0)} satır`
   }
 }
@@ -3372,15 +3487,15 @@ function applyDerivedGroupMetrics (out, sourceRows, groupField = '') {
   if (sourceRows.some(row => row.performance_bucket)) {
     out.performance_bucket = dominantValue(sourceRows, 'performance_bucket')
   }
-  out.customer_score_90d = customerSalesPeriodScore(periodMetricSource(out, '90d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'customer_score_90d')) out.customer_score_90d = customerSalesPeriodScore(periodMetricSource(out, '90d'))
-  out.customer_score_180d = customerSalesPeriodScore(periodMetricSource(out, '180d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'customer_score_180d')) out.customer_score_180d = customerSalesPeriodScore(periodMetricSource(out, '180d'))
-  out.customer_score_365d = customerSalesPeriodScore(periodMetricSource(out, '365d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'customer_score_365d')) out.customer_score_365d = customerSalesPeriodScore(periodMetricSource(out, '365d'))
-  out.customer_score_total = customerSalesPeriodScore(periodMetricSource(out, 'total'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'customer_score_total')) out.customer_score_total = customerSalesPeriodScore(periodMetricSource(out, 'total'))
-  out.performance_score_90d = productSalesPeriodScore(productPeriodMetricSource(out, '90d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score_90d')) out.performance_score_90d = productSalesPeriodScore(productPeriodMetricSource(out, '90d'))
-  out.performance_score_180d = productSalesPeriodScore(productPeriodMetricSource(out, '180d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score_180d')) out.performance_score_180d = productSalesPeriodScore(productPeriodMetricSource(out, '180d'))
-  out.performance_score_365d = productSalesPeriodScore(productPeriodMetricSource(out, '365d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score_365d')) out.performance_score_365d = productSalesPeriodScore(productPeriodMetricSource(out, '365d'))
-  out.performance_score_total = productSalesPeriodScore(productPeriodMetricSource(out, 'total'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score_total')) out.performance_score_total = productSalesPeriodScore(productPeriodMetricSource(out, 'total'))
-  out.performance_score = groupPerformanceScore(out, groupField)
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score')) out.performance_score = groupPerformanceScore(out, groupField)
 }
 
 function groupPerformanceScore (row, groupField = '') {
@@ -3672,18 +3787,12 @@ function weightedAverageProductCost (sourceRows, valueField) {
     if (!key || variants.has(key)) continue
     variants.set(key, row)
   }
-  const stockSource = variants.size > 0 ? Array.from(variants.values()) : sourceRows
+  const averageSource = variants.size > 0 ? Array.from(variants.values()) : sourceRows
-  const stockRows = stockSource
+  const values = averageSource
-    .map(row => ({
+    .map(row => Number(row[valueField] || 0))
-      value: Number(row[valueField] || 0),
+    .filter(value => Number.isFinite(value) && value > 0)
-      qty: Number(row.stock_qty || 0)
+  if (!values.length) return 0
-    }))
+  return values.reduce((sum, value) => sum + value, 0) / values.length
-    .filter(row => Number.isFinite(row.value) && Number.isFinite(row.qty) && row.value > 0 && row.qty > 0)
-  const stockQty = stockRows.reduce((sum, row) => sum + row.qty, 0)
-  if (stockQty > 0) {
-    return stockRows.reduce((sum, row) => sum + row.value * row.qty, 0) / stockQty
-  }
-  return 0
 }
 
 function marginFromSalesCost (salesUSD, qty, unitCost) {
@@ -3878,27 +3987,50 @@ function formatGroupCell (row, colOrName) {
 }
 
 function withProductMargins (row) {
+  const salesQtyTotal = Number(row?.sales_qty_total || 0)
+  const salesUSDTotal = Number(row?.sales_usd_total || 0)
+  const basePrice = Number(row?.base_price_usd || 0)
+  const costPrice = Number(row?.cost_price_usd || 0)
+  const grossProfitBaseTotal = salesQtyTotal > 0 ? salesUSDTotal - (salesQtyTotal * basePrice) : 0
+  const grossProfitCostTotal = salesQtyTotal > 0 ? salesUSDTotal - (salesQtyTotal * costPrice) : 0
   return {
     ...row,
     avg_price_usd_365d: Number(row?.sales_qty_365d || 0) > 0 ? Number(row?.sales_usd_365d || 0) / Number(row?.sales_qty_365d || 0) : 0,
+    avg_price_usd_total: salesQtyTotal > 0 ? salesUSDTotal / salesQtyTotal : Number(row?.avg_price_usd_total || 0),
     stock_turnover_90d: existingOrStockTurnover(row?.stock_turnover_90d, row?.sales_qty_90d, row?.stock_qty),
     stock_turnover_180d: existingOrStockTurnover(row?.stock_turnover_180d, row?.sales_qty_180d, row?.stock_qty),
     stock_turnover_365d: existingOrStockTurnover(row?.stock_turnover_365d, row?.sales_qty_365d, row?.stock_qty),
+    stock_turnover_total: existingOrStockTurnover(row?.stock_turnover_total, row?.sales_qty_total, row?.stock_qty),
+    gross_profit_base_usd_total: grossProfitBaseTotal,
+    gross_profit_cost_usd_total: grossProfitCostTotal,
+    gross_profit_usd_total: Number(row?.gross_profit_usd_total ?? grossProfitCostTotal),
     gross_margin_base_90d: marginFromSalesCost(row?.sales_usd_90d, row?.sales_qty_90d, row?.base_price_usd),
     gross_margin_cost_90d: marginFromSalesCost(row?.sales_usd_90d, row?.sales_qty_90d, row?.cost_price_usd),
     gross_margin_base_180d: marginFromSalesCost(row?.sales_usd_180d, row?.sales_qty_180d, row?.base_price_usd),
     gross_margin_cost_180d: marginFromSalesCost(row?.sales_usd_180d, row?.sales_qty_180d, row?.cost_price_usd),
     gross_margin_base_365d: marginFromSalesCost(row?.sales_usd_365d, row?.sales_qty_365d, row?.base_price_usd),
-    gross_margin_cost_365d: marginFromSalesCost(row?.sales_usd_365d, row?.sales_qty_365d, row?.cost_price_usd)
+    gross_margin_cost_365d: marginFromSalesCost(row?.sales_usd_365d, row?.sales_qty_365d, row?.cost_price_usd),
+    gross_margin_base_total: marginFromSalesCost(salesUSDTotal, salesQtyTotal, basePrice),
+    gross_margin_cost_total: marginFromSalesCost(salesUSDTotal, salesQtyTotal, costPrice)
   }
 }
 
 function withGeneralMargins (row) {
+  const salesQtyTotal = Number(row?.sales_qty_total || 0)
+  const salesUSDTotal = Number(row?.sales_usd_total || 0)
+  const basePrice = Number(row?.base_price_usd || 0)
+  const costPrice = Number(row?.cost_price_usd || 0)
+  const grossProfitBaseTotal = salesQtyTotal > 0 ? salesUSDTotal - (salesQtyTotal * basePrice) : 0
+  const grossProfitCostTotal = salesQtyTotal > 0 ? salesUSDTotal - (salesQtyTotal * costPrice) : 0
   return {
     ...row,
+    avg_price_usd_total: salesQtyTotal > 0 ? salesUSDTotal / salesQtyTotal : Number(row?.avg_price_usd_total || 0),
     stock_turnover_total: existingOrStockTurnover(row?.stock_turnover_total, row?.sales_qty_total, row?.stock_qty),
-    gross_margin_base_total: marginFromSalesCost(row?.sales_usd_total, row?.sales_qty_total, row?.base_price_usd),
+    gross_profit_base_usd_total: grossProfitBaseTotal,
-    gross_margin_cost_total: marginFromSalesCost(row?.sales_usd_total, row?.sales_qty_total, row?.cost_price_usd)
+    gross_profit_cost_usd_total: grossProfitCostTotal,
+    gross_profit_usd_total: Number(row?.gross_profit_usd_total ?? grossProfitCostTotal),
+    gross_margin_base_total: marginFromSalesCost(salesUSDTotal, salesQtyTotal, basePrice),
+    gross_margin_cost_total: marginFromSalesCost(salesUSDTotal, salesQtyTotal, costPrice)
   }
 }
 
@@ -4276,19 +4408,19 @@ function normalizeRow (row) {
   const color = String(row?.color_code || '').trim()
   const yaka = String(row?.yaka_kodu || '').trim()
   const market = String(row?.market_key || '').trim()
-  return withPeriodScores(withProductMargins({
+  return withPeriodScores(withGeneralMargins(withProductMargins({
     ...row,
     row_key: `${product}|${color}|${yaka}|${market}`
-  }))
+  })))
 }
 
 function withPeriodScores (row) {
   const next = { ...row }
-  next.performance_score_90d = Number(next.performance_score_90d || productSalesPeriodScore(productPeriodMetricSource(next, '90d')))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_90d')) next.performance_score_90d = productSalesPeriodScore(productPeriodMetricSource(next, '90d'))
-  next.performance_score_180d = Number(next.performance_score_180d || productSalesPeriodScore(productPeriodMetricSource(next, '180d')))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_180d')) next.performance_score_180d = productSalesPeriodScore(productPeriodMetricSource(next, '180d'))
-  next.performance_score_365d = Number(next.performance_score_365d || productSalesPeriodScore(productPeriodMetricSource(next, '365d')))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_365d')) next.performance_score_365d = productSalesPeriodScore(productPeriodMetricSource(next, '365d'))
-  next.performance_score_total = Number(next.performance_score_total || productSalesPeriodScore(productPeriodMetricSource(next, 'total')))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_total')) next.performance_score_total = productSalesPeriodScore(productPeriodMetricSource(next, 'total'))
-  if (!Number(next.performance_score || 0)) next.performance_score = next.performance_score_90d
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score')) next.performance_score = next.performance_score_90d
   return next
 }
 
@@ -4422,16 +4554,6 @@ function displayMarketName (value) {
   return parts.length ? parts[parts.length - 1] : ''
 }
 
-function normalizeUploadsPath (storagePath) {
-  const raw = String(storagePath || '').trim()
-  if (!raw) return ''
-  const normalized = raw.replace(/\\/g, '/')
-  const idx = normalized.toLowerCase().indexOf('/uploads/')
-  if (idx >= 0) return normalized.slice(idx)
-  if (normalized.toLowerCase().startsWith('uploads/')) return `/${normalized}`
-  return ''
-}
-
 function resolveProductImageUrl (item) {
   return resolveProductImageUrls(item)[0] || ''
 }
@@ -4450,18 +4572,9 @@ function resolveProductImageUrls (item) {
   const fullURL = String(item.full_url || item.fullUrl || '').trim()
   addURL(fullURL)
 
-  const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage || '')
-  addURL(uploadsPath)
-
-  const fileName = String(item.file_name || item.FileName || '').trim()
-  if (fileName) addURL(`/uploads/image/${fileName}`)
-
   const contentURL = String(item.content_url || item.ContentURL || '').trim()
   if (contentURL.startsWith('/api/')) addURL(contentURL)
   else if (contentURL.startsWith('/')) addURL(`/api${contentURL}`)
-
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) addURL(`/api/product-images/${imageId}/content`)
   return urls
 }
 
@@ -4897,6 +5010,72 @@ async function timedProductPerformanceGet (label, url, config = {}) {
   }
 }
 
+function productPerformanceExcelExportTableKey () {
+  if (isProductKpiTab.value) return activeProductTableKey.value
+  if (backendGroupedSupportedTab(activeTab.value)) return activeTab.value
+  return 'products'
+}
+
+function buildProductPerformanceExcelExportFilters () {
+  const tableKey = productPerformanceExcelExportTableKey()
+  const out = {}
+  for (const col of columnsForTableKey(tableKey) || []) {
+    const name = String(col?.name || '').trim()
+    if (!productPerformanceExcelExportFilterFields.has(name)) continue
+    const selected = selectedColumnFilters(tableKey, name)
+    if (selected.length) out[name] = selected
+  }
+  if (activeTab.value === 'product_detail') {
+    const mainGroup = String(selectedDetailMainGroup.value || '').trim()
+    if (mainGroup && !out.urun_ana_grubu?.includes(mainGroup)) {
+      out.urun_ana_grubu = [...(out.urun_ana_grubu || []), mainGroup]
+    }
+  }
+  return out
+}
+
+function productPerformanceExcelFilename (headers = {}) {
+  const disposition = String(headers?.['content-disposition'] || headers?.['Content-Disposition'] || '').trim()
+  const utfMatch = disposition.match(/filename\*=UTF-8''([^;]+)/i)
+  if (utfMatch?.[1]) return decodeURIComponent(utfMatch[1].replaceAll('"', '').trim())
+  const match = disposition.match(/filename="?([^";]+)"?/i)
+  return match?.[1]?.trim() || `product_performance_color_yaka_${new Date().toISOString().slice(0, 10)}.xlsx`
+}
+
+function downloadProductPerformanceExcelBlob (blob, filename) {
+  const url = URL.createObjectURL(blob)
+  const a = document.createElement('a')
+  a.href = url
+  a.download = filename
+  document.body.appendChild(a)
+  a.click()
+  a.remove()
+  URL.revokeObjectURL(url)
+}
+
+async function exportProductPerformanceExcel () {
+  if (excelExportLoading.value) return
+  excelExportLoading.value = true
+  try {
+    const tableKey = productPerformanceExcelExportTableKey()
+    const pagination = tablePagination[tableKey] || tablePagination.products || {}
+    const response = await api.post('/pricing/product-performance/export-excel', {
+      filters: buildProductPerformanceExcelExportFilters(),
+      sort_by: pagination.sortBy || '',
+      descending: pagination.descending !== false
+    }, {
+      responseType: 'blob',
+      timeout: 180000
+    })
+    downloadProductPerformanceExcelBlob(response.data, productPerformanceExcelFilename(response.headers || {}))
+  } catch (err) {
+    const detail = await extractApiErrorDetail(err)
+    Notify.create({ type: 'negative', message: detail || 'Excel çıktısı alınamadı' })
+  } finally {
+    excelExportLoading.value = false
+  }
+}
+
 async function reload () {
   loading.value = true
   startLoadingTimer('Rapor verileri hazırlanıyor...')

ui/src/pages/ProductStockByAttributes.vue

@@ -637,14 +637,9 @@ function resolveProductImageUrl(item) {
   }
 
   let contentUrl = ''
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) {
-    contentUrl = `/api/product-images/${imageId}/content`
-  } else {
   const contentURL = String(item.content_url || item.ContentURL || '').trim()
   if (contentURL.startsWith('/api/')) contentUrl = contentURL
   else if (contentURL.startsWith('/')) contentUrl = `/api${contentURL}`
-  }
 
   const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage || '')
   let publicUrl = ''
@@ -707,6 +702,9 @@ function clearGalleryQueryIndex() {
 
 async function resolveProductImageUrlForCarousel(item) {
   const resolved = resolveProductImageUrl(item)
+  const directUrl = String(resolved.fullUrl || resolved.thumbUrl || resolved.publicUrl || '').trim()
+  if (directUrl) return directUrl
+
   const contentUrl = String(resolved.contentUrl || '').trim()
   if (contentUrl) {
     try {
@@ -721,10 +719,7 @@ async function resolveProductImageUrlForCarousel(item) {
       // fall through to public url
     }
   }
-  const fullUrl = String(resolved.fullUrl || '').trim()
+  return contentUrl
-  if (fullUrl) return fullUrl
-  const publicUrl = String(resolved.publicUrl || '').trim()
-  return String(publicUrl || fullUrl || contentUrl || '').trim()
 }
 
 function getProductImageUrl(code, color, secondColor = '', dim1Id = '', dim3Id = '') {

ui/src/pages/ProductStockQuery.vue

@@ -618,14 +618,9 @@ function resolveProductImageUrl(item) {
   }
 
   let contentUrl = ''
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) {
-    contentUrl = `/api/product-images/${imageId}/content`
-  } else {
   const contentURL = String(item.content_url || item.ContentURL || '').trim()
   if (contentURL.startsWith('/api/')) contentUrl = contentURL
   else if (contentURL.startsWith('/')) contentUrl = `/api${contentURL}`
-  }
 
   const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage || '')
   let publicUrl = ''
@@ -686,6 +681,9 @@ function clearGalleryQueryIndex() {
 
 async function resolveProductImageUrlForCarousel(item) {
   const resolved = resolveProductImageUrl(item)
+  const directUrl = String(resolved.fullUrl || resolved.thumbUrl || resolved.publicUrl || '').trim()
+  if (directUrl) return directUrl
+
   const contentUrl = String(resolved.contentUrl || '').trim()
   if (contentUrl) {
     try {
@@ -700,10 +698,7 @@ async function resolveProductImageUrlForCarousel(item) {
       // fall through to public url
     }
   }
-  const fullUrl = String(resolved.fullUrl || '').trim()
+  return contentUrl
-  if (fullUrl) return fullUrl
-  const publicUrl = String(resolved.publicUrl || '').trim()
-  return String(publicUrl || fullUrl || contentUrl || '').trim()
 }
 
 function getProductImageUrl(code, color, secondColor = '', dim1Id = '', dim3Id = '') {

ui/src/stores/productPerformanceStore.js

@@ -4,16 +4,6 @@ import api from 'src/services/api'
 const GROUPED_TTL_MS = 2 * 60 * 1000
 const IMAGE_TTL_MS = 15 * 60 * 1000
 
-function normalizeUploadsPath (storagePath) {
-  const raw = String(storagePath || '').trim()
-  if (!raw) return ''
-  const normalized = raw.replace(/\\/g, '/')
-  const idx = normalized.toLowerCase().indexOf('/uploads/')
-  if (idx >= 0) return normalized.slice(idx)
-  if (normalized.toLowerCase().startsWith('uploads/')) return `/${normalized}`
-  return ''
-}
-
 function resolveProductImageUrl (item) {
   return resolveProductImageUrls(item)[0] || ''
 }
@@ -32,18 +22,9 @@ function resolveProductImageUrls (item) {
   const fullURL = String(item.full_url || item.fullUrl || '').trim()
   addURL(fullURL)
 
-  const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage || '')
-  addURL(uploadsPath)
-
-  const fileName = String(item.file_name || item.FileName || '').trim()
-  if (fileName) addURL(`/uploads/image/${fileName}`)
-
   const contentURL = String(item.content_url || item.ContentURL || '').trim()
   if (contentURL.startsWith('/api/')) addURL(contentURL)
   else if (contentURL.startsWith('/')) addURL(`/api${contentURL}`)
-
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) addURL(`/api/product-images/${imageId}/content`)
   return urls
 }
 
@@ -206,7 +187,7 @@ export const useProductPerformanceStore = defineStore('product-performance-store
         urun_ana_grubu: params.urunAnaGrubu || params.urun_ana_grubu || '',
         group_levels: Array.isArray(params.groupLevels) ? params.groupLevels : String(params.groupLevels || '').split(',').filter(Boolean),
         fields: Array.isArray(params.fields) ? params.fields : String(params.fields || '').split(',').filter(Boolean),
-        limit: params.limit || 5000
+        limit: params.limit || 50000
       }, { timeout: 60000 }).then(resp => {
         const data = resp?.data && typeof resp.data === 'object' ? resp.data : {}
         this.groupedFilterOptionsByKey = { ...this.groupedFilterOptionsByKey, [key]: data }