smart_warehouse.py

"""Smart warehouse stock finder using GPT-5's intelligence"""

import requests
import re
import os
import json

def get_warehouse_stock_smart(user_message, previous_result=None):
    """Let GPT-5 intelligently find products or filter by warehouse"""
    
    OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
    
    # Check if user is asking about specific warehouse
    warehouse_keywords = {
        'caddebostan': 'Caddebostan',
        'ortaköy': 'Ortaköy', 
        'ortakoy': 'Ortaköy',
        'alsancak': 'Alsancak',
        'izmir': 'Alsancak',
        'bahçeköy': 'Bahçeköy',
        'bahcekoy': 'Bahçeköy'
    }
    
    user_lower = user_message.lower()
    asked_warehouse = None
    for keyword, warehouse in warehouse_keywords.items():
        if keyword in user_lower:
            asked_warehouse = warehouse
            break
    
    # Get XML data with retry
    xml_text = None
    for attempt in range(3):  # Try 3 times
        try:
            url = 'https://video.trek-turkey.com/bizimhesap-warehouse-xml-b2b-api-v2.php'
            timeout_val = 10 + (attempt * 5)  # Increase timeout on each retry: 10, 15, 20
            response = requests.get(url, verify=False, timeout=timeout_val)
            xml_text = response.text
            print(f"DEBUG - XML fetched: {len(xml_text)} characters (attempt {attempt+1})")
            break
        except requests.exceptions.Timeout:
            print(f"XML fetch timeout (attempt {attempt+1}/3, timeout={timeout_val}s)")
            if attempt == 2:
                print("All attempts failed - timeout")
                return None
        except Exception as e:
            print(f"XML fetch error: {e}")
            return None
    
    # Extract just product blocks to reduce token usage
    product_pattern = r'<Product>(.*?)</Product>'
    all_products = re.findall(product_pattern, xml_text, re.DOTALL)
    
    # Create a simplified product list for GPT
    products_summary = []
    for i, product_block in enumerate(all_products):
        name_match = re.search(r'<ProductName><!\[CDATA\[(.*?)\]\]></ProductName>', product_block)
        variant_match = re.search(r'<ProductVariant><!\[CDATA\[(.*?)\]\]></ProductVariant>', product_block)
        
        if name_match:
            # Check warehouse stock for this product
            warehouses_with_stock = []
            warehouse_regex = r'<Warehouse>.*?<Name><!\[CDATA\[(.*?)\]\]></Name>.*?<Stock>(.*?)</Stock>.*?</Warehouse>'
            warehouses = re.findall(warehouse_regex, product_block, re.DOTALL)
            
            for wh_name, wh_stock in warehouses:
                try:
                    if int(wh_stock.strip()) > 0:
                        warehouses_with_stock.append(wh_name)
                except:
                    pass
            
            product_info = {
                "index": i,
                "name": name_match.group(1),
                "variant": variant_match.group(1) if variant_match else "",
                "warehouses": warehouses_with_stock
            }
            products_summary.append(product_info)
    
    # If user is asking about specific warehouse, include that in prompt
    warehouse_filter = ""
    if asked_warehouse:
        warehouse_filter = f"\nIMPORTANT: User is asking specifically about {asked_warehouse} warehouse. Only return products available in that warehouse."
    
    # Let GPT-5 find ALL matching products
    smart_prompt = f"""User is asking: "{user_message}"

Find ALL products that match this query from the list below.
If user asks about specific size (S, M, L, XL, XXL, SMALL, MEDIUM, LARGE, X-LARGE), return only that size.
If user asks generally (without size), return ALL variants of the product.
{warehouse_filter}

IMPORTANT BRAND AND PRODUCT TYPE RULES:
- GOBIK: Spanish textile brand we import. When user asks about "gobik", return ALL products with "GOBIK" in the name.
- Product names contain type information: FORMA (jersey/cycling shirt), TAYT (tights), İÇLİK (base layer), YAĞMURLUK (raincoat), etc.
- Understand Turkish/English terms: 
  * "erkek forma" / "men's jersey" -> Find products with FORMA in name
  * "tayt" / "tights" -> Find products with TAYT in name  
  * "içlik" / "base layer" -> Find products with İÇLİK in name
  * "yağmurluk" / "raincoat" -> Find products with YAĞMURLUK in name
- Gender: UNISEX means for both men and women. If no gender specified, it's typically men's.
- Be smart: "erkek forma" should find all FORMA products (excluding women-specific if any)

Products list (with warehouse availability):
{json.dumps(products_summary, ensure_ascii=False, indent=2)}

Return index numbers of ALL matching products as comma-separated list (e.g., "5,8,12,15").
If no products found, return: -1

Examples:
- "madone sl 6 var mı" -> Return ALL Madone SL 6 variants
- "erkek forma" -> Return all products with FORMA in name
- "gobik tayt" -> Return all GOBIK products with TAYT in name
- "içlik var mı" -> Return all products with İÇLİK in name
- "gobik erkek forma" -> Return all GOBIK products with FORMA in name
- "yağmurluk medium" -> Return all YAĞMURLUK products in MEDIUM size"""

    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {OPENAI_API_KEY}"
    }
    
    # GPT-5.5 modeli temperature ve max_tokens desteklemiyor
    payload = {
        "model": "gpt-5.5",
        "messages": [
            {"role": "system", "content": "You are a product matcher. Find ALL matching products. Return only index numbers."},
            {"role": "user", "content": smart_prompt}
        ]
    }
    
    try:
        response = requests.post(
            "https://api.openai.com/v1/chat/completions",
            headers=headers,
            json=payload,
            timeout=10
        )
        
        if response.status_code == 200:
            result = response.json()
            indices_str = result['choices'][0]['message']['content'].strip()
            
            if indices_str == "-1":
                return ["Ürün bulunamadı"]
            
            try:
                # Parse multiple indices
                indices = [int(idx.strip()) for idx in indices_str.split(',')]
                
                # Collect all matching products
                all_variants = []
                warehouse_stock = {}
                
                for idx in indices:
                    if 0 <= idx < len(all_products):
                        product_block = all_products[idx]
                        
                        # Get product name and variant
                        name_match = re.search(r'<ProductName><!\[CDATA\[(.*?)\]\]></ProductName>', product_block)
                        variant_match = re.search(r'<ProductVariant><!\[CDATA\[(.*?)\]\]></ProductVariant>', product_block)
                        
                        if name_match:
                            product_name = name_match.group(1)
                            variant = variant_match.group(1) if variant_match else ""
                            
                            # Track this variant
                            variant_info = {
                                'name': product_name,
                                'variant': variant,
                                'warehouses': []
                            }
                            
                            # Get warehouse stock
                            warehouse_regex = r'<Warehouse>.*?<Name><!\[CDATA\[(.*?)\]\]></Name>.*?<Stock>(.*?)</Stock>.*?</Warehouse>'
                            warehouses = re.findall(warehouse_regex, product_block, re.DOTALL)
                            
                            for wh_name, wh_stock in warehouses:
                                try:
                                    stock = int(wh_stock.strip())
                                    if stock > 0:
                                        display_name = format_warehouse_name(wh_name)
                                        variant_info['warehouses'].append({
                                            'name': display_name,
                                            'stock': stock
                                        })
                                        
                                        # Track total stock per warehouse
                                        if display_name not in warehouse_stock:
                                            warehouse_stock[display_name] = 0
                                        warehouse_stock[display_name] += stock
                                except:
                                    pass
                            
                            if variant_info['warehouses']:  # Only add if has stock
                                all_variants.append(variant_info)
                
                # Format result
                result = []
                
                if asked_warehouse:
                    # Filter for specific warehouse
                    warehouse_variants = []
                    for variant in all_variants:
                        for wh in variant['warehouses']:
                            if asked_warehouse in wh['name']:
                                warehouse_variants.append({
                                    'name': variant['name'],
                                    'variant': variant['variant'],
                                    'stock': wh['stock']
                                })
                    
                    if warehouse_variants:
                        result.append(f"{format_warehouse_name(asked_warehouse)} mağazasında mevcut:")
                        for v in warehouse_variants:
                            result.append(f"• {v['name']} ({v['variant']})")
                    else:
                        result.append(f"{format_warehouse_name(asked_warehouse)} mağazasında bu ürün mevcut değil")
                else:
                    # Show all variants and warehouses
                    if all_variants:
                        result.append(f"Bulunan {len(all_variants)} varyant:")
                        
                        # Show ALL variants (not just first 5)
                        for variant in all_variants:
                            variant_text = f" ({variant['variant']})" if variant['variant'] else ""
                            result.append(f"• {variant['name']}{variant_text}")
                        
                        result.append("")
                        result.append("Mağaza stok durumu:")
                        for warehouse, total_stock in sorted(warehouse_stock.items()):
                            result.append(f"• {warehouse}: Mevcut")
                    else:
                        result.append("Hiçbir mağazada stok yok")
                
                return result
                
            except (ValueError, IndexError) as e:
                print(f"DEBUG - Error parsing indices: {e}")
                return None
        else:
            print(f"GPT API error: {response.status_code}")
            return None
            
    except Exception as e:
        print(f"Error calling GPT: {e}")
        return None

def format_warehouse_name(wh_name):
    """Format warehouse name nicely"""
    if "CADDEBOSTAN" in wh_name:
        return "Caddebostan mağazası"
    elif "ORTAKÖY" in wh_name:
        return "Ortaköy mağazası"
    elif "ALSANCAK" in wh_name:
        return "İzmir Alsancak mağazası"
    elif "BAHCEKOY" in wh_name or "BAHÇEKÖY" in wh_name:
        return "Bahçeköy mağazası"
    else:
        return wh_name.replace("MAGAZA DEPO", "").strip()