ui: add B2B olmayan stok (orphans) page

svc/routes/product_series.go

@@ -353,14 +353,73 @@ WHERE product_code = ANY($1)
 		existing, _ := loadProductSeriesAssignments(ctx, pg, codes)
 
 		// Per-request cache for per-mmitem dimval3 inference to avoid repeated dfblob scans.
+		inferCache := map[string]int64{}
+		inferDim3ForMmitem := func(mmitemID int64, token string) int64 {
+			mmitemID = int64(mmitemID)
+			tok := strings.ToUpper(normalizeDimParam(token))
+			if mmitemID <= 0 || tok == "" {
+				return 0
+			}
+			key := fmt.Sprintf("%d|%s", mmitemID, tok)
+			if v, ok := inferCache[key]; ok {
+				return v
+			}
+			patterns := buildNameLikePatterns(tok)
+			if len(patterns) == 0 {
+				inferCache[key] = 0
+				return 0
+			}
+			var dimv string
+			err := pg.QueryRowContext(ctx, `
+SELECT x.dimv
+FROM (
+    SELECT COALESCE(dimval3::text, '') AS dimv, COUNT(*) AS cnt
+    FROM dfblob
+    WHERE src_table='mmitem'
+      AND typ='img'
+      AND src_id=$7
+      AND COALESCE(dimval3::text, '') <> ''
+      AND (
+        UPPER(COALESCE(file_name,'')) LIKE $1 OR
+        UPPER(COALESCE(file_name,'')) LIKE $2 OR
+        UPPER(COALESCE(file_name,'')) LIKE $3 OR
+        UPPER(COALESCE(file_name,'')) LIKE $4 OR
+        UPPER(COALESCE(file_name,'')) LIKE $5 OR
+        UPPER(COALESCE(file_name,'')) LIKE $6
+      )
+    GROUP BY COALESCE(dimval3::text, '')
+) x
+ORDER BY x.cnt DESC, x.dimv
+LIMIT 1
+`, patterns[0], patterns[1], patterns[2], patterns[3], patterns[4], patterns[5], mmitemID).Scan(&dimv)
+			if err != nil {
+				inferCache[key] = 0
+				return 0
+			}
+			dimv = strings.TrimSpace(dimv)
+			if dimv == "" || dimv == "0" {
+				inferCache[key] = 0
+				return 0
+			}
+			id, err := strconv.ParseInt(dimv, 10, 64)
+			if err != nil || id <= 0 {
+				inferCache[key] = 0
+				return 0
+			}
+			inferCache[key] = id
+			return id
+		}
+
 		out := make([]productSeriesMappingRow, 0, len(grouped))
 		for _, row := range grouped {
 			row.MmitemID = mmitemByCode[row.ProductCode]
 			row.Dim1ID = dim1ByToken[row.ColorCode]
 			if row.Dim3Code != "" {
-				// Strict: only accept explicit token map rows for dimval3.
+				// Prefer token map; fallback to per-item inference (do not persist).
 				if v := dim3ByToken[row.Dim3Code]; v > 0 {
 					row.Dim3ID = v
+				} else if inferred := inferDim3ForMmitem(row.MmitemID, row.Dim3Code); inferred > 0 {
+					row.Dim3ID = inferred
 				}
 			}
 			// Only show variants that are also known/valid on the PG side (product_code + dim1 + dim3_key).
@@ -582,6 +641,64 @@ WHERE product_code = ANY($1)
 		dim3ByToken, _ := loadDimTokenIDsStrict(ctx, pg, "dimval3", setToSortedSlice(dim3Set))
 		combos, _ := loadProductDimCombos(ctx, pg, codes)
 
+		// Per-request cache for per-mmitem dimval3 inference (dfblob scan).
+		inferCache := map[string]int64{}
+		inferDim3ForMmitem := func(mmitemID int64, token string) int64 {
+			mmitemID = int64(mmitemID)
+			tok := strings.ToUpper(normalizeDimParam(token))
+			if mmitemID <= 0 || tok == "" {
+				return 0
+			}
+			key := fmt.Sprintf("%d|%s", mmitemID, tok)
+			if v, ok := inferCache[key]; ok {
+				return v
+			}
+			patterns := buildNameLikePatterns(tok)
+			if len(patterns) == 0 {
+				inferCache[key] = 0
+				return 0
+			}
+			var dimv string
+			err := pg.QueryRowContext(ctx, `
+SELECT x.dimv
+FROM (
+    SELECT COALESCE(dimval3::text, '') AS dimv, COUNT(*) AS cnt
+    FROM dfblob
+    WHERE src_table='mmitem'
+      AND typ='img'
+      AND src_id=$7
+      AND COALESCE(dimval3::text, '') <> ''
+      AND (
+        UPPER(COALESCE(file_name,'')) LIKE $1 OR
+        UPPER(COALESCE(file_name,'')) LIKE $2 OR
+        UPPER(COALESCE(file_name,'')) LIKE $3 OR
+        UPPER(COALESCE(file_name,'')) LIKE $4 OR
+        UPPER(COALESCE(file_name,'')) LIKE $5 OR
+        UPPER(COALESCE(file_name,'')) LIKE $6
+      )
+    GROUP BY COALESCE(dimval3::text, '')
+) x
+ORDER BY x.cnt DESC, x.dimv
+LIMIT 1
+`, patterns[0], patterns[1], patterns[2], patterns[3], patterns[4], patterns[5], mmitemID).Scan(&dimv)
+			if err != nil {
+				inferCache[key] = 0
+				return 0
+			}
+			dimv = strings.TrimSpace(dimv)
+			if dimv == "" || dimv == "0" {
+				inferCache[key] = 0
+				return 0
+			}
+			id, err := strconv.ParseInt(dimv, 10, 64)
+			if err != nil || id <= 0 {
+				inferCache[key] = 0
+				return 0
+			}
+			inferCache[key] = id
+			return id
+		}
+
 		out := make([]productSeriesMappingRow, 0, len(grouped))
 		for _, row := range grouped {
 			if row.TotalQty <= 0 {
@@ -592,6 +709,8 @@ WHERE product_code = ANY($1)
 			if row.Dim3Code != "" {
 				if v := dim3ByToken[row.Dim3Code]; v > 0 {
 					row.Dim3ID = v
+				} else if inferred := inferDim3ForMmitem(row.MmitemID, row.Dim3Code); inferred > 0 {
+					row.Dim3ID = inferred
 				}
 			}