Soru kelimelerini filtrele ve rakamları koru

- 'var mı', 'stokta mı' gibi soru kelimelerini ignore et
- Rakamları koru (6, 7, 8)
- 'gen 8' gibi ifadeleri birleştir
- 'trek' kelimesini filtrele

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

app.py

@@ -53,10 +53,28 @@ def get_warehouse_stock(product_name):
         query = normalize(product_name.strip()).replace('(2026)', '').replace('(2025)', '').strip()
         words = query.split()
         
+        # Words to ignore in product search
+        ignore_words = ['var', 'mi', 'mı', 'mu', 'mü', 'varmi', 'varmı', 'beden', 'size', 'boy', 
+                       'stok', 'stokta', 'mevcut', 'hangi', 'magazada', 'nerede', 'kaç', 'adet', 'tane',
+                       'trek', 'bisiklet', 'bike']
+        
         # Find size
         sizes = ['s', 'm', 'l', 'xl', 'xs', 'xxl', 'ml']
         size = next((w for w in words if w in sizes), None)
-        product_words = [w for w in words if w not in sizes and w not in ['beden', 'size', 'boy']]
+        
+        # Filter product words - remove sizes and question words
+        # Keep numbers (like 6, 7, 8) and words longer than 1 char
+        product_words = [w for w in words if w not in sizes and w not in ignore_words and (len(w) > 1 or w.isdigit())]
+        
+        # Handle "gen 8", "gen 7" patterns - keep them together
+        if 'gen' in product_words:
+            gen_index = product_words.index('gen')
+            if gen_index < len(product_words) - 1:
+                next_word = product_words[gen_index + 1]
+                if next_word.isdigit():
+                    # Combine "gen" and number
+                    product_words[gen_index] = f'gen {next_word}'
+                    product_words.pop(gen_index + 1)
         
         print(f"DEBUG - Searching: {' '.join(product_words)}, Size: {size}")