Beden eşleştirme algoritması iyileştirildi

- Varyant tokenları hem tire hem boşlukla ayrılıyor (s-beyaz gri formatı için)
- normalize_turkish fonksiyonu iyileştirildi (noktalı i karakteri için)
- Beden eşleşmesi için startswith kontrolü eklendi
- Artık S beden sadece Caddebostan'da gösterilecek

app.py

@@ -58,14 +58,18 @@ def get_warehouse_stock(product_name):
             
             def normalize_turkish(text):
                 import unicodedata
-                text = unicodedata.normalize('NFD', text)
+                # First normalize unicode to handle combining characters
+                text = unicodedata.normalize('NFKD', text)
                 text = ''.join(char for char in text if unicodedata.category(char) != 'Mn')
+                # Replace Turkish characters
                 for tr_char, en_char in turkish_map.items():
                     text = text.replace(tr_char, en_char)
-                return text
+                # Also handle dotted i (İ with dot above)
+                text = text.replace('İ', 'i').replace('I', 'i')
+                return text.lower()
             
             # Normalize search product name
-            search_name = normalize_turkish(product_name.lower().strip())
+            search_name = normalize_turkish(product_name.strip())
             search_name = search_name.replace('(2026)', '').replace('(2025)', '').replace(' gen 3', '').replace(' gen', '').strip()
             search_words = search_name.split()
             
@@ -103,11 +107,11 @@ def get_warehouse_stock(product_name):
                 
                 if product_name_elem is not None and product_name_elem.text:
                     xml_product_name = product_name_elem.text.strip()
-                    normalized_name = normalize_turkish(xml_product_name.lower())
+                    normalized_name = normalize_turkish(xml_product_name)
                     
                     variant_text = ""
                     if variant_elem is not None and variant_elem.text:
-                        variant_text = normalize_turkish(variant_elem.text.strip().lower())
+                        variant_text = normalize_turkish(variant_elem.text.strip())
                     
                     # Context-aware matching
                     name_match = False
@@ -124,8 +128,13 @@ def get_warehouse_stock(product_name):
                         # For single letter sizes (S, M, L, etc), require exact match
                         if len(variant_words) == 1 and len(variant_words[0]) <= 2:
                             # Check if size appears as a separate token in variant
-                            variant_tokens = variant_text.split('-')
-                            variant_match = any(variant_words[0] == token.strip() for token in variant_tokens)
+                            # Split by both dash and space to handle "s-beyaz gri" format
+                            variant_tokens = variant_text.replace('-', ' ').split()
+                            variant_match = any(variant_words[0] == token.strip().lower() for token in variant_tokens)
+                            
+                            # Also check if it starts with the size (e.g., "s-beyaz")
+                            if not variant_match:
+                                variant_match = variant_text.startswith(variant_words[0] + '-') or variant_text.startswith(variant_words[0] + ' ')
                         else:
                             variant_match = all(word in variant_text for word in variant_words)
                     elif variant_words and not variant_text: