import gradio as gr
import os
import json
import requests
import xml.etree.ElementTree as ET
import schedule
import time
import threading
from huggingface_hub import HfApi, create_repo, hf_hub_download
import warnings
import pandas as pd
from docx import Document
import spaces
from google.oauth2.service_account import Credentials
from googleapiclient.discovery import build
from googleapiclient.http import MediaIoBaseDownload
import io
import warnings
from requests.packages.urllib3.exceptions import InsecureRequestWarning
warnings.simplefilter('ignore', InsecureRequestWarning)

# Prompt dosyasını import et
from prompts import get_prompt_content_only

# Enhanced features import et (sadece temel özellikler)
from enhanced_features import (
    initialize_enhanced_features, process_image_message, 
    handle_comparison_request
)
from image_renderer import extract_product_info_for_gallery, format_message_with_images

# Import conversation tracker
from conversation_tracker import add_conversation

# API endpoints removed - will use Gradio's built-in API

# Import smart warehouse with GPT intelligence and price
try:
    from smart_warehouse_with_price import get_warehouse_stock_smart_with_price
    get_warehouse_stock_smart = get_warehouse_stock_smart_with_price
except ImportError:
    try:
        from smart_warehouse import get_warehouse_stock_smart
    except ImportError:
        get_warehouse_stock_smart = None

def get_warehouse_stock(product_name):
    """Use GPT intelligence to find warehouse stock"""
    # First try GPT-powered search
    if get_warehouse_stock_smart:
        result = get_warehouse_stock_smart(product_name)
        if result:
            return result
    
    # Fallback to old method
    return get_warehouse_stock_old(product_name)

# OLD warehouse stock finder - general algorithm
def get_warehouse_stock_old(product_name):
    """Smart warehouse stock finder with general algorithm"""
    try:
        import re
        import requests
        
        # Get XML with retry
        xml_text = None
        for attempt in range(3):
            try:
                url = 'https://video.trek-turkey.com/bizimhesap-warehouse-xml-b2b-api-v2.php'
                timeout_val = 10 + (attempt * 5)  # 10, 15, 20 seconds
                response = requests.get(url, verify=False, timeout=timeout_val)
                xml_text = response.text
                break
            except requests.exceptions.Timeout:
                if attempt == 2:
                    return None
            except Exception:
                return None
        
        # Turkish normalize
        def normalize(text):
            tr_map = {'ı': 'i', 'ğ': 'g', 'ü': 'u', 'ş': 's', 'ö': 'o', 'ç': 'c', 'İ': 'i', 'I': 'i'}
            text = text.lower()
            for tr, en in tr_map.items():
                text = text.replace(tr, en)
            return text
        
        # Parse query
        query = normalize(product_name.strip()).replace('(2026)', '').replace('(2025)', '').strip()
        words = query.split()
        
        # Find size markers (S, M, L, etc.)
        sizes = ['s', 'm', 'l', 'xl', 'xs', 'xxl', 'ml']
        size = next((w for w in words if w in sizes), None)
        
        # Smart filtering: Keep only meaningful product identifiers
        product_words = []
        
        # If query is very short (like "hangi boyu"), skip it
        if len(words) <= 2 and not any(w.isdigit() for w in words):
            # Likely just a question, not a product search
            pass
        else:
            # Extract product-like terms
            for word in words:
                # Skip if it's a size marker
                if word in sizes:
                    continue
                
                # Always keep numbers (model numbers)
                if word.isdigit():
                    product_words.append(word)
                
                # Keep alphanumeric codes
                elif any(c.isdigit() for c in word) and any(c.isalpha() for c in word):
                    product_words.append(word)
                
                # Keep 2-3 letter codes that look like product codes
                elif len(word) in [2, 3] and word.isalpha():
                    # Skip common particles
                    if word in ['mi', 'mı', 'mu', 'mü', 'var', 'yok', 've', 'de', 'da']:
                        continue
                    # Must have at least one consonant
                    if any(c not in 'aeiouı' for c in word):
                        product_words.append(word)
                
                # For longer words, be selective
                elif len(word) > 3:
                    # Skip if ends with Turkish question suffixes
                    if any(word.endswith(suffix) for suffix in ['mi', 'mı', 'mu', 'mü']):
                        continue
                    # Skip if only 1-2 consonants (likely a particle/question word)
                    consonants = sum(1 for c in word if c not in 'aeiouı')
                    if consonants <= 2:  # "var" has 2 consonants, skip it
                        continue
                    # Keep it
                    product_words.append(word)
        
        print(f"DEBUG - Searching: {' '.join(product_words)}, Size: {size}")
        
        # Find all Product blocks in XML
        product_pattern = r'<Product>(.*?)</Product>'
        all_products = re.findall(product_pattern, xml_text, re.DOTALL)
        
        print(f"DEBUG - Total products in XML: {len(all_products)}")
        
        # Search through products
        best_match = None
        
        for product_block in all_products:
            # Extract product name
            name_match = re.search(r'<ProductName><!\[CDATA\[(.*?)\]\]></ProductName>', product_block)
            if not name_match:
                continue
                
            product_name_in_xml = name_match.group(1)
            normalized_xml_name = normalize(product_name_in_xml)
            
            # Check if all product words are in the name (as separate words or part of words)
            # This handles cases like "gen 8" where it might be "gen8" or "gen 8" in XML
            match = True
            for word in product_words:
                # Check if word exists as-is or without spaces (for numbers after text)
                if word not in normalized_xml_name:
                    # Also check if it's a number that might be attached to previous word
                    if not (word.isdigit() and any(f"{prev}{word}" in normalized_xml_name or f"{prev} {word}" in normalized_xml_name for prev in product_words if not prev.isdigit())):
                        match = False
                        break
            
            if match:
                # Product name matches, now check variant if needed
                
                if size:
                    # Check if variant matches the size
                    variant_match = re.search(r'<ProductVariant><!\[CDATA\[(.*?)\]\]></ProductVariant>', product_block)
                    if variant_match:
                        variant = variant_match.group(1)
                        # Check if variant starts with the size (e.g., "S-BEYAZ")
                        if variant.upper().startswith(f'{size.upper()}-'):
                            print(f"DEBUG - Found match: {product_name_in_xml} - {variant}")
                            best_match = product_block
                            break  # Found exact match, stop searching
                else:
                    # No size specified, take first match
                    best_match = product_block
                    break
        
        if best_match:
            # Extract warehouse info from the matched product
            warehouse_info = []
            warehouse_regex = r'<Warehouse>.*?<Name><!\[CDATA\[(.*?)\]\]></Name>.*?<Stock>(.*?)</Stock>.*?</Warehouse>'
            warehouses = re.findall(warehouse_regex, best_match, re.DOTALL)
            
            for wh_name, wh_stock in warehouses:
                try:
                    stock = int(wh_stock.strip())
                    if stock > 0:
                        # Format store names
                        if "CADDEBOSTAN" in wh_name:
                            display = "Caddebostan mağazası"
                        elif "ORTAKÖY" in wh_name:
                            display = "Ortaköy mağazası"
                        elif "ALSANCAK" in wh_name:
                            display = "İzmir Alsancak mağazası"
                        elif "BAHCEKOY" in wh_name or "BAHÇEKÖY" in wh_name:
                            display = "Bahçeköy mağazası"
                        else:
                            display = wh_name
                        
                        warehouse_info.append(f"{display}: Mevcut")
                except:
                    pass
            
            return warehouse_info if warehouse_info else ["Hiçbir mağazada mevcut değil"]
        else:
            print(f"DEBUG - No match found for {' '.join(product_words)}")
            return ["Hiçbir mağazada mevcut değil"]
            
    except Exception as e:
        print(f"Warehouse error: {e}")
        return None

# OLD SLOW VERSION - KEEP FOR REFERENCE
def get_warehouse_stock_old_slow(product_name):
    """B2B API'den mağaza stok bilgilerini çek - Optimize edilmiş versiyon"""
    try:
        import re
        
        # Hugging Face'de signal çalışmadığı için try-except kullan
        use_signal = False
        try:
            import signal
            import threading
            # Test if we're in main thread
            if threading.current_thread() is threading.main_thread():
                def timeout_handler(signum, frame):
                    raise TimeoutError("Warehouse API timeout")
                signal.signal(signal.SIGALRM, timeout_handler)
                signal.alarm(8)
                use_signal = True
        except Exception as e:
            print(f"Signal not available: {e}")
            use_signal = False
        
        try:
            warehouse_url = 'https://video.trek-turkey.com/bizimhesap-warehouse-xml-b2b-api-v2.php'
            response = requests.get(warehouse_url, verify=False, timeout=7)  # Increased from 2
            
            if response.status_code != 200:
                return None
                
            # ULTRA FAST: Use regex instead of XML parsing for speed
            xml_text = response.text
            
            # Turkish character normalization function
            turkish_map = {'ı': 'i', 'ğ': 'g', 'ü': 'u', 'ş': 's', 'ö': 'o', 'ç': 'c', 'İ': 'i', 'I': 'i'}
            
            def normalize_turkish(text):
                import unicodedata
                # 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)
                # 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.strip())
            # Gen 8, Gen 7 vs. ifadelerini koruyalım
            search_name = search_name.replace('(2026)', '').replace('(2025)', '').strip()
            search_words = search_name.split()
            
            print(f"DEBUG - Searching for: {product_name}")
            print(f"DEBUG - Normalized (gen kept): {search_name}")
            
            # SUPER FAST SEARCH - Build index once
            # Create a dictionary for O(1) lookup instead of O(n) search
            product_index = {}
            
            # Build index in one pass
            for product in root.findall('Product'):
                name_elem = product.find('ProductName')
                if name_elem is not None and name_elem.text:
                    product_name_key = normalize_turkish(name_elem.text.strip())
                    
                    # Store all products with same name in a list
                    if product_name_key not in product_index:
                        product_index[product_name_key] = []
                    
                    variant_elem = product.find('ProductVariant')
                    variant_text = ""
                    if variant_elem is not None and variant_elem.text:
                        variant_text = normalize_turkish(variant_elem.text.strip())
                    
                    product_index[product_name_key].append({
                        'element': product,
                        'original_name': name_elem.text.strip(),
                        'variant': variant_text
                    })
            
            # Separate size/variant words from product words
            size_color_words = ['s', 'm', 'l', 'xl', 'xs', 'xxl', 'ml']
            size_indicators = ['beden', 'size', 'boy']
            
            variant_words = [word for word in search_words if word in size_color_words]
            product_words = [word for word in search_words if word not in size_color_words and word not in size_indicators]
            
            # Build the product key to search
            product_key = ' '.join(product_words)
            
            print(f"DEBUG - Looking for key: {product_key}")
            print(f"DEBUG - Variant filter: {variant_words}")
            
            # INSTANT LOOKUP - O(1)
            candidates = []
            
            # Try exact match first
            if product_key in product_index:
                print(f"DEBUG - Exact match found!")
                for item in product_index[product_key]:
                    # Check variant
                    if variant_words:
                        # For size codes like S, M, L
                        if len(variant_words) == 1 and len(variant_words[0]) <= 2:
                            if item['variant'].startswith(variant_words[0] + '-') or item['variant'].startswith(variant_words[0] + ' '):
                                candidates.append((item['element'], item['original_name'], item['variant']))
                        else:
                            if all(word in item['variant'] for word in variant_words):
                                candidates.append((item['element'], item['original_name'], item['variant']))
                    else:
                        # No variant filter, add all
                        candidates.append((item['element'], item['original_name'], item['variant']))
            else:
                # Fallback: search all keys that contain all product words
                print(f"DEBUG - No exact match, searching partial matches...")
                for key, items in product_index.items():
                    if all(word in key for word in product_words):
                        for item in items:
                            if variant_words:
                                if len(variant_words) == 1 and len(variant_words[0]) <= 2:
                                    if item['variant'].startswith(variant_words[0] + '-'):
                                        candidates.append((item['element'], item['original_name'], item['variant']))
                            else:
                                candidates.append((item['element'], item['original_name'], item['variant']))
                        
                        if len(candidates) >= 5:  # Found enough
                            break
            
            print(f"DEBUG - Found {len(candidates)} candidates instantly!")
            
            # Collect stock info from new structure
            warehouse_stock_map = {}
            
            for product, xml_name, variant in candidates:
                # New structure: Warehouse elements are direct children of Product
                for warehouse in product.findall('Warehouse'):
                    name_elem = warehouse.find('Name')
                    stock_elem = warehouse.find('Stock')
                    
                    if name_elem is not None and stock_elem is not None:
                        warehouse_name = name_elem.text if name_elem.text else "Bilinmeyen"
                        try:
                            stock_count = int(stock_elem.text) if stock_elem.text else 0
                            if stock_count > 0:
                                if warehouse_name in warehouse_stock_map:
                                    warehouse_stock_map[warehouse_name] += stock_count
                                else:
                                    warehouse_stock_map[warehouse_name] = stock_count
                        except (ValueError, TypeError):
                            pass
            
            # Cancel alarm
            signal.alarm(0)
            
            print(f"DEBUG - Found {len(candidates)} candidates")
            if candidates:
                for product, name, variant in candidates[:3]:
                    print(f"DEBUG - Candidate: {name} - {variant}")
            
            if warehouse_stock_map:
                all_warehouse_info = []
                for warehouse_name, total_stock in warehouse_stock_map.items():
                    # Mağaza isimlerini daha anlaşılır hale getir
                    if "Caddebostan" in warehouse_name:
                        display_name = "Caddebostan mağazası"
                    elif "Ortaköy" in warehouse_name:
                        display_name = "Ortaköy mağazası"
                    elif "Sarıyer" in warehouse_name:
                        display_name = "Sarıyer mağazası"
                    elif "Alsancak" in warehouse_name or "İzmir" in warehouse_name:
                        display_name = "İzmir Alsancak mağazası"
                    else:
                        display_name = warehouse_name
                    
                    all_warehouse_info.append(f"{display_name}: Mevcut")
                return all_warehouse_info
            else:
                return ["Hiçbir mağazada mevcut değil"]
                
        except TimeoutError:
            if use_signal:
                try:
                    signal.alarm(0)
                except:
                    pass
            print("Warehouse API timeout - skipping")
            return None
        finally:
            if use_signal:
                try:
                    signal.alarm(0)
                except:
                    pass
        
    except Exception as e:
        print(f"Mağaza stok bilgisi çekme hatası: {e}")
        return None

# Import improved product search
try:
    from improved_chatbot import ImprovedChatbot
    USE_IMPROVED_SEARCH = True
    print("DEBUG - Improved chatbot loaded successfully")
except ImportError as e:
    print(f"DEBUG - Improved chatbot not available: {e}, using basic search")
    USE_IMPROVED_SEARCH = False

# Gradio uyarılarını bastır
warnings.filterwarnings("ignore", category=UserWarning, module="gradio.components.chatbot")

# Log dosyası adı ve yolu
LOG_FILE = '/data/chat_logs.txt' if os.path.exists('/data') else 'chat_logs.txt'
print(f"Dosya yolu: {os.path.abspath(LOG_FILE)}")

# API ayarları
API_URL = "https://api.openai.com/v1/chat/completions"
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
if not OPENAI_API_KEY:
    print("Hata: OPENAI_API_KEY çevre değişkeni ayarlanmamış!")

# Trek bisiklet ürünlerini çekme
url = 'https://www.trekbisiklet.com.tr/output/8582384479'
response = requests.get(url, verify=False, timeout=30)
if response.status_code == 200 and response.content:
    root = ET.fromstring(response.content)
else:
    print(f"HTTP hatası: {response.status_code}")
    root = None

products = []
if root is not None:
    for item in root.findall('item'):
        # Tüm ürünleri al, sonra stokta olma durumunu kontrol et - None kontrolü
        rootlabel_elem = item.find('rootlabel')
        stock_elem = item.find('stockAmount')
        
        if rootlabel_elem is None or stock_elem is None:
            continue  # Eksik veri varsa bu ürünü atla
            
        name_words = rootlabel_elem.text.lower().split()
        name = name_words[0]
        full_name = ' '.join(name_words)
        
        stock_amount = "stokta" if stock_elem.text and stock_elem.text > '0' else "stokta değil"
        
        # Stokta olmayan ürünler için fiyat/link bilgisi eklemiyoruz
        if stock_amount == "stokta":
            # Normal fiyat bilgisini al - Güvenli versiyon
            price_elem = item.find('priceTaxWithCur')
            price_str = price_elem.text if price_elem is not None and price_elem.text else "Fiyat bilgisi yok"
            
            # EFT fiyatını al (havale indirimli orijinal fiyat) - Güvenli versiyon
            price_eft_elem = item.find('priceEft')
            price_eft_str = price_eft_elem.text if price_eft_elem is not None and price_eft_elem.text else ""
            
            # İndirimli fiyatı al (kampanyalı fiyat) - Güvenli versiyon
            price_rebate_elem = item.find('priceRebateWithTax')
            price_rebate_str = price_rebate_elem.text if price_rebate_elem is not None and price_rebate_elem.text else ""
            
            # Havale indirimi fiyatını al (havale indirimli kampanyalı fiyat) - Güvenli versiyon
            price_rebate_money_order_elem = item.find('priceRebateWithMoneyOrderWithTax')
            price_rebate_money_order_str = price_rebate_money_order_elem.text if price_rebate_money_order_elem is not None and price_rebate_money_order_elem.text else ""
            
            # Normal fiyatı yuvarla
            try:
                price_float = float(price_str)
                # Fiyat 200000 üzerindeyse en yakın 5000'lik basamağa yuvarla
                if price_float > 200000:
                    price = str(round(price_float / 5000) * 5000)  # En yakın 5000'e yuvarla
                # Fiyat 30000 üzerindeyse en yakın 1000'lik basamağa yuvarla
                elif price_float > 30000:
                    price = str(round(price_float / 1000) * 1000)  # En yakın 1000'e yuvarla
                # Fiyat 10000 üzerindeyse en yakın 100'lük basamağa yuvarla
                elif price_float > 10000:
                    price = str(round(price_float / 100) * 100)  # En yakın 100'e yuvarla
                # Diğer durumlarda en yakın 10'luk basamağa yuvarla
                else:
                    price = str(round(price_float / 10) * 10)  # En yakın 10'a yuvarla
            except (ValueError, TypeError):
                price = price_str  # Sayıya dönüştürülemezse olduğu gibi bırak
            
            # Havale indirimli orijinal fiyatı yuvarla (varsa)
            if price_eft_str:
                try:
                    price_eft_float = float(price_eft_str)
                    # Fiyat 200000 üzerindeyse en yakın 5000'lik basamağa yuvarla
                    if price_eft_float > 200000:
                        price_eft = str(round(price_eft_float / 5000) * 5000)
                    # Fiyat 30000 üzerindeyse en yakın 1000'lik basamağa yuvarla
                    elif price_eft_float > 30000:
                        price_eft = str(round(price_eft_float / 1000) * 1000)
                    # Fiyat 10000 üzerindeyse en yakın 100'lük basamağa yuvarla
                    elif price_eft_float > 10000:
                        price_eft = str(round(price_eft_float / 100) * 100)
                    # Diğer durumlarda en yakın 10'luk basamağa yuvarla
                    else:
                        price_eft = str(round(price_eft_float / 10) * 10)
                except (ValueError, TypeError):
                    price_eft = price_eft_str
            else:
                price_eft = ""
            
            # İndirimli fiyatı yuvarla (varsa)
            if price_rebate_str:
                try:
                    price_rebate_float = float(price_rebate_str)
                    # Fiyat 200000 üzerindeyse en yakın 5000'lik basamağa yuvarla
                    if price_rebate_float > 200000:
                        price_rebate = str(round(price_rebate_float / 5000) * 5000)
                    # Fiyat 30000 üzerindeyse en yakın 1000'lik basamağa yuvarla
                    elif price_rebate_float > 30000:
                        price_rebate = str(round(price_rebate_float / 1000) * 1000)
                    # Fiyat 10000 üzerindeyse en yakın 100'lük basamağa yuvarla
                    elif price_rebate_float > 10000:
                        price_rebate = str(round(price_rebate_float / 100) * 100)
                    # Diğer durumlarda en yakın 10'luk basamağa yuvarla
                    else:
                        price_rebate = str(round(price_rebate_float / 10) * 10)
                except (ValueError, TypeError):
                    price_rebate = price_rebate_str
            else:
                price_rebate = ""
            
            # Havale indirimli kampanyalı fiyatı yuvarla (varsa)
            if price_rebate_money_order_str:
                try:
                    price_rebate_money_order_float = float(price_rebate_money_order_str)
                    # Fiyat 200000 üzerindeyse en yakın 5000'lik basamağa yuvarla
                    if price_rebate_money_order_float > 200000:
                        price_rebate_money_order = str(round(price_rebate_money_order_float / 5000) * 5000)
                    # Fiyat 30000 üzerindeyse en yakın 1000'lik basamağa yuvarla
                    elif price_rebate_money_order_float > 30000:
                        price_rebate_money_order = str(round(price_rebate_money_order_float / 1000) * 1000)
                    # Fiyat 10000 üzerindeyse en yakın 100'lük basamağa yuvarla
                    elif price_rebate_money_order_float > 10000:
                        price_rebate_money_order = str(round(price_rebate_money_order_float / 100) * 100)
                    # Diğer durumlarda en yakın 10'luk basamağa yuvarla
                    else:
                        price_rebate_money_order = str(round(price_rebate_money_order_float / 10) * 10)
                except (ValueError, TypeError):
                    price_rebate_money_order = price_rebate_money_order_str
            else:
                price_rebate_money_order = ""
            
            # Ürün bilgilerini al - None kontrolü ekle
            product_url_elem = item.find('productLink')
            product_url = product_url_elem.text if product_url_elem is not None and product_url_elem.text else ""
            product_info = [stock_amount, price, product_url, price_eft, price_rebate, price_rebate_money_order]
            
            # Resim URL'si ekle (varsa) - Güvenli versiyon
            image_elem = item.find('picture1Path')
            if image_elem is not None and image_elem.text:
                product_info.append(image_elem.text)
            else:
                product_info.append("")  # Boş resim URL'si
            
        else:
            # Stokta olmayan ürün için sadece stok durumu
            product_info = [stock_amount]
        
        products.append((name, product_info, full_name))

print(f"Toplam {len(products)} ürün yüklendi.")

# Initialize enhanced features
initialize_enhanced_features(OPENAI_API_KEY, products)

# Initialize improved chatbot if available
improved_bot = None
if USE_IMPROVED_SEARCH:
    try:
        improved_bot = ImprovedChatbot(products)
        print("Improved product search initialized successfully")
    except Exception as e:
        print(f"Failed to initialize improved search: {e}")
        USE_IMPROVED_SEARCH = False

# Google Drive API ayarları
GOOGLE_CREDENTIALS_PATH = os.getenv("GOOGLE_CREDENTIALS_PATH")
GOOGLE_FOLDER_ID = "1bE8aMj8-eFGftjMPOF8bKQJAhfHa0BN8"

# Global değişkenler
file_lock = threading.Lock()
history_lock = threading.Lock()
global_chat_history = []
document_content = ""

# Google Drive'dan döküman indirme fonksiyonu
def download_documents_from_drive():
    global document_content
    
    if not GOOGLE_CREDENTIALS_PATH:
        print("Google credentials dosyası bulunamadı.")
        return
    
    try:
        credentials = Credentials.from_service_account_file(GOOGLE_CREDENTIALS_PATH)
        service = build('drive', 'v3', credentials=credentials)
        
        # Klasördeki dosyaları listele
        results = service.files().list(
            q=f"'{GOOGLE_FOLDER_ID}' in parents",
            fields="files(id, name, mimeType)"
        ).execute()
        
        files = results.get('files', [])
        all_content = []
        
        for file in files:
            print(f"İndiriliyor: {file['name']}")
            
            # DOCX dosyaları için
            if file['mimeType'] == 'application/vnd.openxmlformats-officedocument.wordprocessingml.document':
                request = service.files().get_media(fileId=file['id'])
                file_io = io.BytesIO()
                downloader = MediaIoBaseDownload(file_io, request)
                
                done = False
                while done is False:
                    status, done = downloader.next_chunk()
                
                file_io.seek(0)
                doc = Document(file_io)
                
                content = f"\\n=== {file['name']} ===\\n"
                for paragraph in doc.paragraphs:
                    if paragraph.text.strip():
                        content += paragraph.text + "\\n"
                
                all_content.append(content)
        
        document_content = "\\n".join(all_content)
        print(f"Toplam {len(files)} döküman yüklendi.")
        
    except Exception as e:
        print(f"Google Drive'dan döküman indirme hatası: {e}")

# Döküman indirme işlemini arka planda çalıştır
document_thread = threading.Thread(target=download_documents_from_drive, daemon=True)
document_thread.start()

# Log dosyasını zamanla temizleme fonksiyonu
def clear_log_file():
    try:
        if os.path.exists(LOG_FILE):
            with file_lock:
                with open(LOG_FILE, 'w', encoding='utf-8') as f:
                    f.write("Log dosyası temizlendi.\\n")
            print("Log dosyası temizlendi.")
    except Exception as e:
        print(f"Log dosyası temizleme hatası: {e}")

# Zamanlanmış görevleri çalıştırma fonksiyonu
def run_scheduler(chat_history):
    schedule.every().day.at("03:00").do(clear_log_file)
    
    while True:
        schedule.run_pending()
        time.sleep(60)

# Chatbot fonksiyonu
def chatbot_fn(user_message, history, image=None):
    if history is None:
        history = []
    
    # ÖNCELİKLE warehouse stock bilgisini al (streaming başlamadan önce)
    warehouse_stock_data = None
    print(f"DEBUG - Getting warehouse stock FIRST for: {user_message}")
    try:
        warehouse_stock_data = get_warehouse_stock(user_message)
        if warehouse_stock_data:
            print(f"DEBUG - Warehouse stock found: {warehouse_stock_data[:2]}...")  # İlk 2 mağaza
        else:
            print(f"DEBUG - No warehouse stock data returned")
    except Exception as e:
        print(f"DEBUG - Warehouse stock error at start: {e}")

    try:
        # Enhanced features - Görsel işleme
        if image is not None:
            user_message = process_image_message(image, user_message)
        
        # Enhanced features - Karşılaştırma kontrolü
        comparison_result = handle_comparison_request(user_message)
        if comparison_result:
            yield comparison_result
            return
        
        # Enhanced features - Basit karşılaştırma ve görsel işleme
        # Profil sistemi kaldırıldı - daha hızlı çalışma için

    except Exception as e:
        print(f"Enhanced features error: {e}")
        # Enhanced features hata verirse normal chatbot'a devam et

    # Log: Kullanıcı mesajını ekle
    try:
        with file_lock:
            with open(LOG_FILE, 'a', encoding='utf-8') as f:
                f.write(f"User: {user_message}\\n")
    except Exception as e:
        print(f"Dosya yazma hatası (Kullanıcı): {e}")

    # Sistem mesajlarını external dosyadan yükle
    system_messages = get_prompt_content_only()

    # Döküman verilerini sistem mesajlarına ekle
    if document_content:
        system_messages.append({"role": "system", "content": f"Dökümanlardan gelen bilgiler: {document_content}"})
    
    # Profil sistemi kaldırıldı - daha hızlı çalışma için
    
    # Try improved search first if available
    product_found_improved = False
    if USE_IMPROVED_SEARCH and improved_bot:
        try:
            product_result = improved_bot.process_message(user_message)
            if product_result['is_product_query'] and product_result['response']:
                # Extract product name from improved search result for warehouse stock
                enhanced_response = product_result['response']
                
                # Önceden alınmış warehouse stock bilgisini kullan
                if warehouse_stock_data and warehouse_stock_data != ["Hiçbir mağazada mevcut değil"]:
                    warehouse_info = f"\n\n🏪 MAĞAZA STOK BİLGİLERİ:\n"
                    for store_info in warehouse_stock_data:
                        warehouse_info += f"• {store_info}\n"
                    enhanced_response += warehouse_info
                    print(f"DEBUG - Added warehouse stock to improved search response")
                elif warehouse_stock_data == ["Hiçbir mağazada mevcut değil"]:
                    enhanced_response += f"\n\n🏪 MAĞAZA STOK BİLGİLERİ: Hiçbir mağazada mevcut değil"
                    print(f"DEBUG - No stock available (improved search)")
                
                system_messages.append({
                    "role": "system",
                    "content": f"ÜRÜN BİLGİSİ:\n{enhanced_response}\n\nBu bilgileri kullanarak kullanıcıya yardımcı ol."
                })
                product_found_improved = True
        except Exception as e:
            print(f"Improved search error: {e}")
    
    # Only use warehouse stock data if available
    if not product_found_improved:
        print(f"DEBUG chatbot_fn - Using warehouse stock data for: {user_message}")
        
        # Warehouse stock bilgisi varsa kullan
        if warehouse_stock_data and warehouse_stock_data != ["Hiçbir mağazada mevcut değil"]:
            warehouse_info = f"🏪 MAĞAZA STOK BİLGİLERİ:\n"
            for store_info in warehouse_stock_data:
                warehouse_info += f"• {store_info}\n"
            system_messages.append({
                "role": "system", 
                "content": f"GÜNCEL STOK DURUMU:\n{warehouse_info}\n\nBu bilgileri kullanarak kullanıcıya hangi mağazada stok olduğunu söyle."
            })
            print(f"DEBUG - Using warehouse stock data")
        elif warehouse_stock_data == ["Hiçbir mağazada mevcut değil"]:
            system_messages.append({
                "role": "system",
                "content": "🏪 MAĞAZA STOK BİLGİLERİ: Sorduğunuz ürün hiçbir mağazada mevcut değil."
            })
            print(f"DEBUG - Product not available in any store")
        else:
            print(f"DEBUG - No warehouse stock data available")

    messages = system_messages + history + [{"role": "user", "content": user_message}]

    payload = {
        "model": "gpt-5-chat-latest",
        "messages": messages,
        "temperature": 0.2,
        "top_p": 1,
        "n": 1,
        "stream": True,
        "presence_penalty": 0,
        "frequency_penalty": 0,
    }
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {OPENAI_API_KEY}"
    }
    
    response = requests.post(API_URL, headers=headers, json=payload, stream=True)
    if response.status_code != 200:
        yield "Bir hata oluştu."
        return

    partial_response = ""
    
    for chunk in response.iter_lines():
        if not chunk:
            continue
        chunk_str = chunk.decode('utf-8')
        if chunk_str.startswith("data: ") and chunk_str != "data: [DONE]":
            try:
                chunk_data = json.loads(chunk_str[6:])
                delta = chunk_data['choices'][0]['delta']
                if 'content' in delta:
                    partial_response += delta['content']
                    # Resim formatlaması uygula
                    formatted_response = extract_product_info_for_gallery(partial_response)
                    yield formatted_response
            except json.JSONDecodeError as e:
                print(f"JSON parse hatası: {e} - Chunk: {chunk_str}")
        elif chunk_str == "data: [DONE]":
            break
    
    # Son resim formatlaması
    final_response = extract_product_info_for_gallery(partial_response)
    yield final_response

    # Profil kaydetme kaldırıldı - daha hızlı çalışma için

    # Log: Asistan cevabını ekle
    try:
        with file_lock:
            with open(LOG_FILE, 'a', encoding='utf-8') as f:
                f.write(f"Bot: {partial_response}\\n")
    except Exception as e:
        print(f"Dosya yazma hatası (Bot): {e}")

    # Global geçmişi güncelle
    with history_lock:
        global_chat_history.append({"role": "user", "content": user_message})
        global_chat_history.append({"role": "assistant", "content": partial_response})

# Slow echo (test için)
def slow_echo(message, history):
    for i in range(len(message)):
        time.sleep(0.05)
        yield "You typed: " + message[: i + 1]

# Kullanım modu
USE_SLOW_ECHO = False
chat_fn = slow_echo if USE_SLOW_ECHO else chatbot_fn

if not USE_SLOW_ECHO:
    scheduler_thread = threading.Thread(target=run_scheduler, args=(global_chat_history,), daemon=True)
    scheduler_thread.start()
    
# Trek markasına özel tema oluştur (düzeltilmiş sürüm)
trek_theme = gr.themes.Base(
    primary_hue="red",  # Trek kırmızısı için
    secondary_hue="slate",  # Gri tonları için
    neutral_hue="slate",
    radius_size=gr.themes.sizes.radius_sm,  # Köşe yuvarlatma değerleri
    spacing_size=gr.themes.sizes.spacing_md,  # Aralık değerleri
    text_size=gr.themes.sizes.text_sm  # Yazı boyutları (small)
)
# Chatbot kartları için arka plan renkleri değiştiren CSS
custom_css = """
/* Genel font ayarları */
.gradio-container, .gradio-container *, .message-wrap, .message-wrap p, .message-wrap div, 
button, input, select, textarea {
    font-family: 'Segoe UI', 'SF Pro Text', 'Roboto', -apple-system, BlinkMacSystemFont, 
                 'Helvetica Neue', Arial, sans-serif !important;
    font-size: 0.6rem !important;
}

/* Mobil responsive başlangıç */
@media (max-width: 768px) {
    .gradio-container, .gradio-container *, .message-wrap, .message-wrap p, .message-wrap div {
        font-size: 0.8rem !important;
    }
    
    h1 {
        font-size: 1.8rem !important;
        text-align: center;
        margin: 10px 0;
    }
    
    h2 {
        font-size: 1.4rem !important;
    }
}

/* Input alanı için de aynı boyut */
.message-textbox textarea {
    font-size: 0.6rem !important;
}

/* Başlıklar için özel boyutlar */
h1 {
    font-size: 1.4rem !important;
    font-weight: 800 !important;
}

h2 {
    font-size: 1.2rem !important;
    font-weight: 600 !important;
}

h3 {
    font-size: 1rem !important;
    font-weight: 600 !important;
}

/* Kart arka plan renkleri - görseldeki gibi */
/* Kullanıcı mesajları için mavi tonda arka plan */
.user-message, .user-message-highlighted {
    background-color: #e9f5fe !important;
    border-bottom-right-radius: 0 !important;
    box-shadow: 0 1px 2px rgba(0,0,0,0.1) !important;
}

/* Bot mesajları için beyaz arka plan ve hafif kenarlık */
.bot-message, .bot-message-highlighted {
    background-color: white !important;
    border: 1px solid #e0e0e0 !important;
    border-bottom-left-radius: 0 !important;
    box-shadow: 0 1px 2px rgba(0,0,0,0.05) !important;
}

/* Mesaj baloncuklarının köşe yuvarlatma değerleri */
.message-wrap {
    border-radius: 12px !important;
    margin: 0.5rem 0 !important;
    max-width: 90% !important;
}

/* Sohbet alanının genel arka planı */
.chat-container, .gradio-container {
    background-color: #f7f7f7 !important;
}

/* Daha net yazılar için text rendering */
* {
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
    text-rendering: optimizeLegibility;
}

/* Restore butonu stilleri kaldırıldı */

/* Responsive mobil tasarım - iOS benzeri */
@media (max-width: 768px) {
    /* Daha büyük ve dokunmatik dostu boyutlar */
    .gradio-container {
        padding: 0 !important;
        margin: 0 !important;
    }
    
    /* Mesaj baloncukları iOS tarzı */
    .message-wrap {
        margin: 0.3rem 0.5rem !important;
        max-width: 85% !important;
        border-radius: 18px !important;
        padding: 10px 15px !important;
        font-size: 0.9rem !important;
    }
    
    /* Kullanıcı mesajları */
    .user-message, .user-message-highlighted {
        background-color: #007AFF !important;
        color: white !important;
        margin-left: auto !important;
        margin-right: 8px !important;
    }
    
    /* Bot mesajları */
    .bot-message, .bot-message-highlighted {
        background-color: #f1f1f1 !important;
        color: #333 !important;
        margin-left: 8px !important;
        margin-right: auto !important;
    }
}

/* Input alanına uçan kağıt ikonu ekle */
#msg-input {
    position: relative;
}

#msg-input textarea {
    padding-right: 40px !important;
}

.input-icon {
    position: absolute;
    right: 12px;
    top: 50%;
    transform: translateY(-50%);
    font-size: 16px;
    pointer-events: none;
    z-index: 10;
    color: #666;
}

/* Mobil responsive - Input alanı */
@media (max-width: 768px) {
    #msg-input {
        margin: 10px 0;
    }
    
    #msg-input textarea {
        padding: 12px 45px 12px 15px !important;
        font-size: 1rem !important;
        border-radius: 20px !important;
        border: 1px solid #ddd !important;
        box-shadow: 0 1px 3px rgba(0,0,0,0.1) !important;
    }
    
    .input-icon {
        right: 15px;
        font-size: 18px;
    }
}

/* Genel mobil iyileştirmeler */
@media (max-width: 768px) {
    /* Chatbot alanı tam ekran */
    .gradio-container .main {
        padding: 0 !important;
    }
    
    /* Başlık alanı küçült */
    .gradio-container header {
        padding: 8px !important;
    }
    
    /* Tab alanlarını küçült */
    .tab-nav {
        padding: 5px !important;
    }
    
    /* Scroll bar'ı gizle */
    .scroll-hide {
        scrollbar-width: none;
        -ms-overflow-style: none;
    }
    
    .scroll-hide::-webkit-scrollbar {
        display: none;
    }
}

/* CSS Bitişi */
"""

# Chat persistence sistemi tamamen kaldırıldı
storage_js = ""

# Enhanced chatbot fonksiyonu image destekli
def enhanced_chatbot_fn(message, history, image):
    return chatbot_fn(message, history, image)

# Demo arayüzü - Mobil responsive
with gr.Blocks(css=custom_css, theme="soft", title="Trek Asistanı", head=storage_js) as demo:
    gr.Markdown("# 🚲 Trek Asistanı AI")
    gr.Markdown("**Akıllı özellikler:** Ürün karşılaştırması ve detaylı ürün bilgileri sunuyorum.")
    
    # LocalStorage fonksiyonu kaldırıldı
    
    chatbot = gr.Chatbot(height=600, elem_id="chatbot", show_label=False, type="messages")
    
    msg = gr.Textbox(
        placeholder="Trek bisikletleri hakkında soru sorun...",
        show_label=False,
        elem_id="msg-input"
    )
    
    
    # Session ve profil sistemi tamamen kaldırıldı
    
    def respond(message, chat_history):
        if not message.strip():
            return "", chat_history
            
        # Kullanıcı mesajını hemen göster
        if chat_history is None:
            chat_history = []
        
        # Messages format için kullanıcı mesajını ekle
        chat_history.append({"role": "user", "content": message})
        yield "", chat_history
        
        # Chat history'yi chatbot_fn için uygun formata çevir
        formatted_history = []
        for msg in chat_history[:-1]:  # Son mesajı hariç tut
            formatted_history.append(msg)
        
        try:
            # Enhanced chatbot fonksiyonunu çağır (image=None)
            response_generator = chatbot_fn(message, formatted_history, None)
            
            # Generator'dan streaming cevap al
            response = ""
            for partial in response_generator:
                response = partial
                # Bot cevabını ekle veya güncelle
                # Eğer son mesaj user ise, bot mesajı ekle
                if chat_history[-1]["role"] == "user":
                    chat_history.append({"role": "assistant", "content": response})
                else:
                    # Son bot mesajını güncelle
                    chat_history[-1]["content"] = response
                yield "", chat_history
            
            # Konuşmayı kaydet
            try:
                add_conversation(message, response)
            except Exception as e:
                print(f"Error saving conversation: {e}")
            
        except Exception as e:
            error_msg = f"Üzgünüm, bir hata oluştu: {str(e)}"
            print(f"Chat error: {e}")
            # Hata mesajı ekle
            if chat_history[-1]["role"] == "user":
                chat_history.append({"role": "assistant", "content": error_msg})
            else:
                chat_history[-1]["content"] = error_msg
            yield "", chat_history
    
    msg.submit(respond, [msg, chatbot], [msg, chatbot], show_progress=True)
    
    # Add chat logs viewer
    with gr.Accordion("📄 Chat Logs (Text)", open=False):
        with gr.Row():
            refresh_logs_btn = gr.Button("🔄 Yenile", scale=1)
            download_logs_btn = gr.Button("💾 Logları İndir", scale=1)
        
        logs_display = gr.Textbox(
            label="Chat Logs",
            lines=10,
            max_lines=20,
            interactive=False
        )
        
        logs_file = gr.File(visible=False)
        
        def get_chat_logs():
            """Get chat logs content"""
            try:
                if os.path.exists(LOG_FILE):
                    with open(LOG_FILE, 'r', encoding='utf-8') as f:
                        return f.read()
                return "Henüz log kaydı yok."
            except Exception as e:
                return f"Log okuma hatası: {e}"
        
        def download_chat_logs():
            """Download chat logs file"""
            if os.path.exists(LOG_FILE):
                return LOG_FILE
            # Create empty file if doesn't exist
            with open(LOG_FILE, 'w') as f:
                f.write("Chat Logs\n")
            return LOG_FILE
        
        refresh_logs_btn.click(get_chat_logs, outputs=logs_display)
        download_logs_btn.click(download_chat_logs, outputs=logs_file)
        demo.load(get_chat_logs, outputs=logs_display)
    
    # Add conversation viewer
    with gr.Accordion("📊 Konuşma Geçmişi (JSON)", open=False):
        with gr.Row():
            refresh_json_btn = gr.Button("🔄 Yenile", scale=1)
            download_json_btn = gr.Button("💾 JSON İndir", scale=1)
            view_dashboard_btn = gr.Button("📈 Dashboard'u Aç", scale=1)
        
        json_display = gr.JSON(label="Konuşmalar", elem_id="json_viewer")
        download_file = gr.File(label="İndir", visible=False)
        
        def get_conversations_json():
            from conversation_tracker import load_conversations
            convs = load_conversations()
            # Also save to file for download
            import json as json_module
            with open("temp_conversations.json", "w", encoding="utf-8") as f:
                json_module.dump(convs, f, ensure_ascii=False, indent=2)
            return convs
        
        def download_conversations():
            get_conversations_json()  # Ensure file is updated
            return gr.update(visible=True, value="temp_conversations.json")
        
        def open_dashboard():
            return gr.HTML("""
                <div style='padding: 20px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border-radius: 10px; color: white;'>
                    <h3>📊 Dashboard Kullanım Talimatları</h3>
                    <ol style='margin: 15px 0;'>
                        <li>Yukarıdaki "💾 JSON İndir" butonuna tıkla</li>
                        <li>conversations.json dosyasını indir</li>
                        <li>bf_dashboard_json.html dosyasını aç</li>
                        <li>İndirdiğin JSON dosyasını dashboard'a yükle</li>
                    </ol>
                    <p style='margin-top: 15px; font-size: 14px;'>
                        Dashboard HTML dosyasını almak için:<br>
                        <a href='https://github.com/yourusername/bf-dashboard' target='_blank' style='color: white; text-decoration: underline;'>
                            GitHub'dan indir
                        </a>
                    </p>
                </div>
            """)
        
        refresh_json_btn.click(get_conversations_json, outputs=json_display)
        download_json_btn.click(download_conversations, outputs=download_file)
        view_dashboard_btn.click(open_dashboard, outputs=json_display)
        
        # Auto-load on start
        demo.load(get_conversations_json, outputs=json_display)
    
    # Define function for JSON HTML before using it
    def create_json_html():
        """Create HTML with embedded JSON data"""
        from conversation_tracker import load_conversations
        import json
        conversations = load_conversations()
        json_str = json.dumps(conversations, ensure_ascii=False)
        return f'''
        <div id="json-data" style="display:none;">
            <script type="application/json" id="conversations-json">
                {json_str}
            </script>
        </div>
        '''
    
    # Add HTML component with embedded JSON for external access
    with gr.Row(visible=False):
        # Create an HTML element that contains the JSON data
        json_html = gr.HTML(
            value=create_json_html(),  # Call directly, not as lambda
            visible=False,
            elem_id="json_data_container"
        )
    
    # Update JSON HTML on page load
    demo.load(create_json_html, outputs=json_html)
    
    # API endpoints for dashboard
    def get_all_conversations():
        """API endpoint to get all conversations"""
        from conversation_tracker import load_conversations
        conversations = load_conversations()
        
        # Format for dashboard
        formatted = {}
        for conv in conversations:
            session_id = f"session_{conv['timestamp'].replace(':', '').replace('-', '').replace('T', '_')[:15]}"
            
            if session_id not in formatted:
                formatted[session_id] = {
                    "customer": "Kullanıcı",
                    "phone": session_id,
                    "messages": []
                }
            
            formatted[session_id]["messages"].append({
                "type": "received",
                "text": conv["user"],
                "time": conv["timestamp"]
            })
            
            formatted[session_id]["messages"].append({
                "type": "sent",
                "text": conv["bot"],
                "time": conv["timestamp"]
            })
        
        return formatted
    
    def get_conversation_stats():
        """Get conversation statistics"""
        from conversation_tracker import load_conversations
        from datetime import datetime
        
        conversations = load_conversations()
        today = datetime.now().date()
        today_count = sum(1 for conv in conversations 
                         if datetime.fromisoformat(conv["timestamp"]).date() == today)
        
        return {
            "total": len(conversations),
            "today": today_count,
            "active": len(set(conv.get("session_id", i) for i, conv in enumerate(conversations)))
        }

# API will be handled separately in production

# Add FastAPI endpoints for CORS-enabled API access
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
import json

# Create FastAPI app
api = FastAPI()

# Add CORS middleware
api.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  # Allow all origins
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

@api.get("/api/conversations")
async def get_conversations():
    """API endpoint to get conversations with CORS"""
    try:
        from conversation_tracker import load_conversations
        conversations = load_conversations()
        return JSONResponse(content=conversations)
    except Exception as e:
        return JSONResponse(content={"error": str(e)}, status_code=500)

@api.get("/api/conversations/latest")
async def get_latest_conversations():
    """Get last 50 conversations"""
    try:
        from conversation_tracker import load_conversations
        conversations = load_conversations()
        return JSONResponse(content=conversations[-50:])
    except Exception as e:
        return JSONResponse(content={"error": str(e)}, status_code=500)

# Mount FastAPI to Gradio
demo = gr.mount_gradio_app(api, demo, path="/")

if __name__ == "__main__":
    import uvicorn
    # Run with uvicorn for FastAPI support
    uvicorn.run(api, host="0.0.0.0", port=7860)