Update app.py
Browse files
app.py
CHANGED
@@ -6,88 +6,80 @@ import xml.etree.ElementTree as ET
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import schedule
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import time
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import threading
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from huggingface_hub import HfApi, create_repo, hf_hub_download
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import warnings
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import pandas as pd
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from docx import Document
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import spaces
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from google.oauth2.service_account import Credentials
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from googleapiclient.discovery import build
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from googleapiclient.http import MediaIoBaseDownload
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import io
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from requests.packages.urllib3.exceptions import InsecureRequestWarning
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warnings.simplefilter('ignore', InsecureRequestWarning)
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from fastapi import FastAPI, Response
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from fastapi.middleware.cors import CORSMiddleware
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# Prompt dosyasını import et
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from prompts import get_prompt_content_only
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# Enhanced features import et (sadece temel özellikler)
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from enhanced_features import (
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initialize_enhanced_features, process_image_message,
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handle_comparison_request
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)
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from image_renderer import extract_product_info_for_gallery, format_message_with_images
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# Import conversation tracker
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from conversation_tracker import add_conversation
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# === JSON dashboard için yardımcılar ===
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def save_conversations_json():
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"""
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conversation_tracker.load_conversations() çıktısını
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hem köke hem public/ altına yazar. Dashboard bunları aynı origin'den çeker
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ya da standalone HTML CORS açık /api uçlarından alır.
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"""
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try:
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from conversation_tracker import load_conversations
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convs = load_conversations()
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# kök
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with open("conversations.json", "w", encoding="utf-8") as f:
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json.dump(convs, f, ensure_ascii=False, indent=2)
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# public/
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os.makedirs("public", exist_ok=True)
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with open("public/conversations.json", "w", encoding="utf-8") as f:
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json.dump(convs, f, ensure_ascii=False, indent=2)
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print("conversations.json ve public/conversations.json güncellendi.")
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except Exception as e:
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print(f"conversations.json yazma hatası: {e}")
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# Import smart warehouse with GPT intelligence and price
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try:
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from
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except ImportError:
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def get_warehouse_stock(product_name):
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return get_warehouse_stock_old(product_name)
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# OLD warehouse stock finder - general algorithm
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def get_warehouse_stock_old(product_name):
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"""Smart warehouse stock finder with general algorithm"""
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try:
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import re
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# Get XML with retry
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xml_text = None
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for attempt in range(3):
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try:
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url = 'https://video.trek-turkey.com/bizimhesap-warehouse-xml-b2b-api-v2.php'
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timeout_val = 10 + (attempt * 5)
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response = requests.get(url, verify=False, timeout=timeout_val)
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xml_text = response.text
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break
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@@ -96,30 +88,18 @@ def get_warehouse_stock_old(product_name):
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return None
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except Exception:
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return None
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# Turkish normalize
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def normalize(text):
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tr_map = {'ı': 'i', 'ğ': 'g', 'ü': 'u', 'ş': 's', 'ö': 'o', 'ç': 'c', 'İ': 'i', 'I': 'i'}
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text = text.lower()
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for tr, en in tr_map.items():
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text = text.replace(tr, en)
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return text
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# Parse query
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query = normalize(product_name.strip()).replace('(2026)', '').replace('(2025)', '').strip()
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words = query.split()
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# Find size markers (S, M, L, etc.)
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sizes = ['s', 'm', 'l', 'xl', 'xs', 'xxl', 'ml']
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size = next((w for w in words if w in sizes), None)
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# Smart filtering: Keep only meaningful product identifiers
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product_words = []
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# If query is very short (like "hangi boyu"), skip it
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if len(words) <= 2 and not any(w.isdigit() for w in words):
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pass
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else:
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for word in words:
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if word in sizes:
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continue
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if consonants <= 2:
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continue
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product_words.append(word)
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# Find all Product blocks in XML
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product_pattern = r'<Product>(.*?)</Product>'
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all_products = re.findall(product_pattern, xml_text, re.DOTALL)
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print(f"DEBUG - Total products in XML: {len(all_products)}")
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best_match = None
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for product_block in all_products:
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name_match =
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if not name_match:
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continue
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product_name_in_xml = name_match.group(1)
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normalized_xml_name = normalize(product_name_in_xml)
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match = True
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for word in product_words:
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if word not in normalized_xml_name:
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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())):
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match = False
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break
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if match:
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if size:
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variant_match =
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if variant_match:
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variant = variant_match.group(1)
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if variant.upper().startswith(f'{size.upper()}-'):
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print(f"DEBUG - Found match: {product_name_in_xml} - {variant}")
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best_match = product_block
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break
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else:
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best_match = product_block
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break
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if best_match:
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warehouse_info = []
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warehouses = re.findall(warehouse_regex, best_match, re.DOTALL)
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for wh_name, wh_stock in warehouses:
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try:
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stock = int(wh_stock.strip())
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else:
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display = wh_name
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warehouse_info.append(f"{display}: Mevcut")
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except:
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pass
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return warehouse_info if warehouse_info else ["Hiçbir mağazada mevcut değil"]
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else:
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print(f"DEBUG - No match found for {' '.join(product_words)}")
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return ["Hiçbir mağazada mevcut değil"]
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except Exception as e:
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print(f"Warehouse error: {e}")
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return None
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if
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else
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print(f"HTTP hatası: {response.status_code}")
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root = None
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products = []
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if root is not None:
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for item in root.findall('item'):
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rootlabel_elem = item.find('rootlabel')
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stock_elem = item.find('stockAmount')
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if rootlabel_elem is None or stock_elem is None:
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continue
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name_words = rootlabel_elem.text.lower().split()
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name = name_words[0]
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full_name = ' '.join(name_words)
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stock_amount = "stokta" if stock_elem.text and stock_elem.text > '0' else "stokta değil"
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if stock_amount == "stokta":
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price_elem = item.find('priceTaxWithCur')
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price_str = price_elem.text if price_elem is not None and price_elem.text else "Fiyat bilgisi yok"
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price_eft_elem = item.find('priceEft')
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price_eft_str = price_eft_elem.text if price_eft_elem is not None and price_eft_elem.text else ""
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price_rebate_elem = item.find('priceRebateWithTax')
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price_rebate_str = price_rebate_elem.text if price_rebate_elem is not None and price_rebate_elem.text else ""
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price_rebate_money_order_elem = item.find('priceRebateWithMoneyOrderWithTax')
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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 ""
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try:
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price_float = float(price_str)
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if price_float > 200000:
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price = str(round(price_float / 5000) * 5000)
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elif price_float > 30000:
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price = str(round(price_float / 1000) * 1000)
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elif price_float > 10000:
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price = str(round(price_float / 100) * 100)
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else:
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price = str(round(price_float / 10) * 10)
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except (ValueError, TypeError):
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price = price_str
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if price_eft_str:
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try:
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price_eft_float = float(price_eft_str)
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if price_eft_float > 200000:
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price_eft = str(round(price_eft_float / 5000) * 5000)
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elif price_eft_float > 30000:
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price_eft = str(round(price_eft_float / 1000) * 1000)
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elif price_eft_float > 10000:
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price_eft = str(round(price_eft_float / 100) * 100)
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else:
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price_eft = str(round(price_eft_float / 10) * 10)
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except (ValueError, TypeError):
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price_eft = price_eft_str
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else:
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price_eft = ""
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if price_rebate_str:
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try:
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price_rebate_float = float(price_rebate_str)
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if price_rebate_float > 200000:
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price_rebate = str(round(price_rebate_float / 5000) * 5000)
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elif price_rebate_float > 30000:
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price_rebate = str(round(price_rebate_float / 1000) * 1000)
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elif price_rebate_float > 10000:
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price_rebate = str(round(price_rebate_float / 100) * 100)
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else:
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price_rebate = str(round(price_rebate_float / 10) * 10)
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except (ValueError, TypeError):
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price_rebate = price_rebate_str
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else:
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price_rebate = ""
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if price_rebate_money_order_str:
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try:
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if
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elif
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elif
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else:
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except
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else:
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product_info
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product_info = [stock_amount]
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products.append((name, product_info, full_name))
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print(f"Toplam {len(products)} ürün yüklendi.")
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# Initialize enhanced features
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initialize_enhanced_features(OPENAI_API_KEY, products)
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# İlk başta dosyaları oluştur (boşsa)
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save_conversations_json()
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# Initialize improved chatbot if available
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improved_bot = None
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if USE_IMPROVED_SEARCH:
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try:
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improved_bot = ImprovedChatbot(products)
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print("Improved product search initialized successfully")
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except Exception as e:
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print(f"
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# Google Drive API ayarları
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GOOGLE_CREDENTIALS_PATH = os.getenv("GOOGLE_CREDENTIALS_PATH")
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GOOGLE_FOLDER_ID = "1bE8aMj8-eFGftjMPOF8bKQJAhfHa0BN8"
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# Global değişkenler
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file_lock = threading.Lock()
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history_lock = threading.Lock()
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global_chat_history = []
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document_content = ""
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# Google Drive'dan döküman indirme fonksiyonu
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def download_documents_from_drive():
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global document_content
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if not GOOGLE_CREDENTIALS_PATH:
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print("Google credentials dosyası bulunamadı.")
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return
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try:
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credentials = Credentials.from_service_account_file(GOOGLE_CREDENTIALS_PATH)
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service = build('drive', 'v3', credentials=credentials)
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results = service.files().list(
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q=f"'{GOOGLE_FOLDER_ID}' in parents",
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fields="files(id, name, mimeType)"
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).execute()
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files = results.get('files', [])
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all_content = []
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for file in files:
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if file['mimeType'] == 'application/vnd.openxmlformats-officedocument.wordprocessingml.document':
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request = service.files().get_media(fileId=file['id'])
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file_io = io.BytesIO()
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downloader = MediaIoBaseDownload(file_io, request)
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done = False
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while done is False:
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status, done = downloader.next_chunk()
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file_io.seek(0)
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doc = Document(file_io)
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content = f"\n=== {file['name']} ===\n"
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for paragraph in doc.paragraphs:
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if paragraph.text.strip():
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content += paragraph.text + "\n"
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all_content.append(content)
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document_content = "\n".join(all_content)
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print(f"Toplam {len(files)} döküman yüklendi.")
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except Exception as e:
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print(f"Google Drive'dan döküman indirme hatası: {e}")
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# Döküman indirme işlemini arka planda çalıştır
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document_thread = threading.Thread(target=download_documents_from_drive, daemon=True)
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document_thread.start()
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# Log dosyasını zamanla temizleme fonksiyonu
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def clear_log_file():
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try:
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if os.path.exists(LOG_FILE):
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with file_lock:
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with open(LOG_FILE, 'w', encoding='utf-8') as f:
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f.write("Log dosyası temizlendi.\n")
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print("Log dosyası temizlendi.")
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except Exception as e:
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print(f"Log dosyası temizleme hatası: {e}")
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# Zamanlanmış görevleri çalıştırma fonksiyonu
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def run_scheduler(chat_history):
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schedule.every().day.at("03:00").do(clear_log_file)
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while True:
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schedule.run_pending()
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time.sleep(60)
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# Chatbot fonksiyonu
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def chatbot_fn(user_message, history, image=None):
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if history is None:
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history = []
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warehouse_stock_data = None
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print(f"DEBUG - Getting warehouse stock FIRST for: {user_message}")
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try:
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warehouse_stock_data = get_warehouse_stock(user_message)
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if warehouse_stock_data:
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print(f"DEBUG - Warehouse stock found: {warehouse_stock_data[:2]}...")
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else:
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print(f"DEBUG - No warehouse stock data returned")
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except Exception as e:
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print(f"DEBUG - Warehouse stock error at start: {e}")
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try:
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if image is not None:
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user_message = process_image_message(image, user_message)
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-
|
459 |
comparison_result = handle_comparison_request(user_message)
|
460 |
if comparison_result:
|
461 |
yield comparison_result
|
462 |
return
|
463 |
except Exception as e:
|
464 |
print(f"Enhanced features error: {e}")
|
465 |
-
|
466 |
try:
|
467 |
with file_lock:
|
468 |
with open(LOG_FILE, 'a', encoding='utf-8') as f:
|
469 |
f.write(f"User: {user_message}\n")
|
470 |
except Exception as e:
|
471 |
print(f"Dosya yazma hatası (Kullanıcı): {e}")
|
472 |
-
|
473 |
system_messages = get_prompt_content_only()
|
474 |
-
|
475 |
if document_content:
|
476 |
system_messages.append({"role": "system", "content": f"Dökümanlardan gelen bilgiler: {document_content}"})
|
477 |
-
|
478 |
product_found_improved = False
|
479 |
if USE_IMPROVED_SEARCH and improved_bot:
|
480 |
try:
|
@@ -486,41 +354,24 @@ def chatbot_fn(user_message, history, image=None):
|
|
486 |
for store_info in warehouse_stock_data:
|
487 |
warehouse_info += f"• {store_info}\n"
|
488 |
enhanced_response += warehouse_info
|
489 |
-
print(f"DEBUG - Added warehouse stock to improved search response")
|
490 |
elif warehouse_stock_data == ["Hiçbir mağazada mevcut değil"]:
|
491 |
enhanced_response += f"\n\n🏪 MAĞAZA STOK BİLGİLERİ: Hiçbir mağazada mevcut değil"
|
492 |
-
|
493 |
-
|
494 |
-
system_messages.append({
|
495 |
-
"role": "system",
|
496 |
-
"content": f"ÜRÜN BİLGİSİ:\n{enhanced_response}\n\nBu bilgileri kullanarak kullanıcıya yardımcı ol."
|
497 |
-
})
|
498 |
product_found_improved = True
|
499 |
except Exception as e:
|
500 |
print(f"Improved search error: {e}")
|
501 |
-
|
502 |
if not product_found_improved:
|
503 |
-
print(f"DEBUG chatbot_fn - Using warehouse stock data for: {user_message}")
|
504 |
if warehouse_stock_data and warehouse_stock_data != ["Hiçbir mağazada mevcut değil"]:
|
505 |
warehouse_info = f"🏪 MAĞAZA STOK BİLGİLERİ:\n"
|
506 |
for store_info in warehouse_stock_data:
|
507 |
warehouse_info += f"• {store_info}\n"
|
508 |
-
system_messages.append({
|
509 |
-
"role": "system",
|
510 |
-
"content": f"GÜNCEL STOK DURUMU:\n{warehouse_info}\n\nBu bilgileri kullanarak kullanıcıya hangi mağazada stok olduğunu söyle."
|
511 |
-
})
|
512 |
-
print(f"DEBUG - Using warehouse stock data")
|
513 |
elif warehouse_stock_data == ["Hiçbir mağazada mevcut değil"]:
|
514 |
-
system_messages.append({
|
515 |
-
"role": "system",
|
516 |
-
"content": "🏪 MAĞAZA STOK BİLGİLERİ: Sorduğunuz ürün hiçbir mağazada mevcut değil."
|
517 |
-
})
|
518 |
-
print(f"DEBUG - Product not available in any store")
|
519 |
-
else:
|
520 |
-
print(f"DEBUG - No warehouse stock data available")
|
521 |
-
|
522 |
messages = system_messages + history + [{"role": "user", "content": user_message}]
|
523 |
-
|
|
|
|
|
524 |
payload = {
|
525 |
"model": "gpt-4.1",
|
526 |
"messages": messages,
|
@@ -535,14 +386,11 @@ def chatbot_fn(user_message, history, image=None):
|
|
535 |
"Content-Type": "application/json",
|
536 |
"Authorization": f"Bearer {OPENAI_API_KEY}"
|
537 |
}
|
538 |
-
|
539 |
response = requests.post(API_URL, headers=headers, json=payload, stream=True)
|
540 |
if response.status_code != 200:
|
541 |
yield "Bir hata oluştu."
|
542 |
return
|
543 |
-
|
544 |
partial_response = ""
|
545 |
-
|
546 |
for chunk in response.iter_lines():
|
547 |
if not chunk:
|
548 |
continue
|
@@ -559,46 +407,49 @@ def chatbot_fn(user_message, history, image=None):
|
|
559 |
print(f"JSON parse hatası: {e} - Chunk: {chunk_str}")
|
560 |
elif chunk_str == "data: [DONE]":
|
561 |
break
|
562 |
-
|
563 |
final_response = extract_product_info_for_gallery(partial_response)
|
564 |
yield final_response
|
565 |
-
|
566 |
try:
|
567 |
with file_lock:
|
568 |
with open(LOG_FILE, 'a', encoding='utf-8') as f:
|
569 |
f.write(f"Bot: {partial_response}\n")
|
570 |
except Exception as e:
|
571 |
print(f"Dosya yazma hatası (Bot): {e}")
|
572 |
-
|
573 |
with history_lock:
|
574 |
global_chat_history.append({"role": "user", "content": user_message})
|
575 |
global_chat_history.append({"role": "assistant", "content": partial_response})
|
576 |
|
577 |
-
# Slow echo (test için)
|
578 |
def slow_echo(message, history):
|
579 |
for i in range(len(message)):
|
580 |
time.sleep(0.05)
|
581 |
yield "You typed: " + message[: i + 1]
|
582 |
|
583 |
-
# Kullanım modu
|
584 |
USE_SLOW_ECHO = False
|
585 |
chat_fn = slow_echo if USE_SLOW_ECHO else chatbot_fn
|
586 |
|
587 |
-
if not
|
588 |
-
|
589 |
-
|
590 |
-
|
591 |
-
|
592 |
-
|
593 |
-
|
594 |
-
|
595 |
-
|
596 |
-
|
597 |
-
|
598 |
-
|
599 |
-
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
600 |
custom_css = """
|
601 |
-
/* temel stiller (kısaltılmış) */
|
602 |
.gradio-container, .gradio-container * { font-family: 'Segoe UI', 'SF Pro Text', 'Roboto', -apple-system, BlinkMacSystemFont, 'Helvetica Neue', Arial, sans-serif !important; font-size: 0.6rem !important; }
|
603 |
"""
|
604 |
|
@@ -610,15 +461,8 @@ def enhanced_chatbot_fn(message, history, image):
|
|
610 |
with gr.Blocks(css=custom_css, theme="soft", title="Trek Asistanı", head=storage_js) as demo:
|
611 |
gr.Markdown("# 🚲 Trek Asistanı AI")
|
612 |
gr.Markdown("**Akıllı özellikler:** Ürün karşılaştırması ve detaylı ürün bilgileri sunuyorum.")
|
613 |
-
|
614 |
chatbot = gr.Chatbot(height=600, elem_id="chatbot", show_label=False, type="messages")
|
615 |
-
|
616 |
-
msg = gr.Textbox(
|
617 |
-
placeholder="Trek bisikletleri hakkında soru sorun...",
|
618 |
-
show_label=False,
|
619 |
-
elem_id="msg-input"
|
620 |
-
)
|
621 |
-
|
622 |
def respond(message, chat_history):
|
623 |
if not message.strip():
|
624 |
return "", chat_history
|
@@ -626,11 +470,9 @@ with gr.Blocks(css=custom_css, theme="soft", title="Trek Asistanı", head=storag
|
|
626 |
chat_history = []
|
627 |
chat_history.append({"role": "user", "content": message})
|
628 |
yield "", chat_history
|
629 |
-
|
630 |
formatted_history = []
|
631 |
for m in chat_history[:-1]:
|
632 |
formatted_history.append(m)
|
633 |
-
|
634 |
try:
|
635 |
response_generator = chatbot_fn(message, formatted_history, None)
|
636 |
response = ""
|
@@ -641,13 +483,11 @@ with gr.Blocks(css=custom_css, theme="soft", title="Trek Asistanı", head=storag
|
|
641 |
else:
|
642 |
chat_history[-1]["content"] = response
|
643 |
yield "", chat_history
|
644 |
-
|
645 |
try:
|
646 |
add_conversation(message, response)
|
647 |
-
save_conversations_json()
|
648 |
except Exception as e:
|
649 |
print(f"Error saving conversation: {e}")
|
650 |
-
|
651 |
except Exception as e:
|
652 |
error_msg = f"Üzgünüm, bir hata oluştu: {str(e)}"
|
653 |
print(f"Chat error: {e}")
|
@@ -656,18 +496,14 @@ with gr.Blocks(css=custom_css, theme="soft", title="Trek Asistanı", head=storag
|
|
656 |
else:
|
657 |
chat_history[-1]["content"] = error_msg
|
658 |
yield "", chat_history
|
659 |
-
|
660 |
msg.submit(respond, [msg, chatbot], [msg, chatbot], show_progress=True)
|
661 |
-
|
662 |
with gr.Accordion("📊 Konuşma Geçmişi (JSON)", open=False):
|
663 |
with gr.Row():
|
664 |
refresh_json_btn = gr.Button("🔄 Yenile", scale=1)
|
665 |
download_json_btn = gr.Button("💾 JSON İndir", scale=1)
|
666 |
view_dashboard_btn = gr.Button("📈 Dashboard'u Aç", scale=1)
|
667 |
-
|
668 |
json_display = gr.JSON(label="Konuşmalar", elem_id="json_viewer")
|
669 |
download_file = gr.File(label="İndir", visible=False)
|
670 |
-
|
671 |
def get_conversations_json():
|
672 |
from conversation_tracker import load_conversations
|
673 |
convs = load_conversations()
|
@@ -675,11 +511,9 @@ with gr.Blocks(css=custom_css, theme="soft", title="Trek Asistanı", head=storag
|
|
675 |
with open("temp_conversations.json", "w", encoding="utf-8") as f:
|
676 |
json_module.dump(convs, f, ensure_ascii=False, indent=2)
|
677 |
return convs
|
678 |
-
|
679 |
def download_conversations():
|
680 |
get_conversations_json()
|
681 |
return gr.update(visible=True, value="temp_conversations.json")
|
682 |
-
|
683 |
def open_dashboard():
|
684 |
return gr.HTML("""
|
685 |
<div style='padding: 20px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border-radius: 10px; color: white;'>
|
@@ -690,24 +524,16 @@ with gr.Blocks(css=custom_css, theme="soft", title="Trek Asistanı", head=storag
|
|
690 |
</ol>
|
691 |
</div>
|
692 |
""")
|
693 |
-
|
694 |
refresh_json_btn.click(get_conversations_json, outputs=json_display)
|
695 |
download_conversations_btn = download_json_btn
|
696 |
download_conversations_btn.click(download_conversations, outputs=download_file)
|
697 |
view_dashboard_btn.click(open_dashboard, outputs=json_display)
|
698 |
demo.load(get_conversations_json, outputs=json_display)
|
699 |
|
700 |
-
# -------------------------
|
701 |
-
# CORS açık API + Gradio mount
|
702 |
-
# -------------------------
|
703 |
-
from fastapi import FastAPI, Response
|
704 |
-
from fastapi.middleware.cors import CORSMiddleware
|
705 |
-
import uvicorn
|
706 |
-
|
707 |
api = FastAPI()
|
708 |
api.add_middleware(
|
709 |
CORSMiddleware,
|
710 |
-
allow_origins=["*"],
|
711 |
allow_credentials=False,
|
712 |
allow_methods=["GET"],
|
713 |
allow_headers=["*"],
|
@@ -732,7 +558,4 @@ def api_public_conversations():
|
|
732 |
body, code = _read_json_safely("public/conversations.json")
|
733 |
return Response(content=body, media_type="application/json", status_code=code)
|
734 |
|
735 |
-
# Gradio arayüzünü FastAPI altına mount et
|
736 |
app = gr.mount_gradio_app(api, demo, path="/")
|
737 |
-
|
738 |
-
|
|
|
6 |
import schedule
|
7 |
import time
|
8 |
import threading
|
|
|
9 |
import warnings
|
|
|
10 |
from docx import Document
|
|
|
11 |
from google.oauth2.service_account import Credentials
|
12 |
from googleapiclient.discovery import build
|
13 |
from googleapiclient.http import MediaIoBaseDownload
|
14 |
import io
|
15 |
from requests.packages.urllib3.exceptions import InsecureRequestWarning
|
|
|
16 |
from fastapi import FastAPI, Response
|
17 |
from fastapi.middleware.cors import CORSMiddleware
|
18 |
+
warnings.simplefilter('ignore', InsecureRequestWarning)
|
|
|
|
|
19 |
from prompts import get_prompt_content_only
|
20 |
+
from enhanced_features import initialize_enhanced_features, process_image_message, handle_comparison_request
|
|
|
|
|
|
|
|
|
|
|
21 |
from image_renderer import extract_product_info_for_gallery, format_message_with_images
|
|
|
|
|
22 |
from conversation_tracker import add_conversation
|
23 |
|
|
|
24 |
def save_conversations_json():
|
|
|
|
|
|
|
|
|
|
|
25 |
try:
|
26 |
from conversation_tracker import load_conversations
|
27 |
convs = load_conversations()
|
|
|
28 |
with open("conversations.json", "w", encoding="utf-8") as f:
|
29 |
json.dump(convs, f, ensure_ascii=False, indent=2)
|
|
|
30 |
os.makedirs("public", exist_ok=True)
|
31 |
with open("public/conversations.json", "w", encoding="utf-8") as f:
|
32 |
json.dump(convs, f, ensure_ascii=False, indent=2)
|
|
|
33 |
except Exception as e:
|
34 |
print(f"conversations.json yazma hatası: {e}")
|
35 |
|
|
|
36 |
try:
|
37 |
+
from improved_chatbot import ImprovedChatbot
|
38 |
+
USE_IMPROVED_SEARCH = True
|
39 |
+
except ImportError as e:
|
40 |
+
print(f"DEBUG - Improved chatbot not available: {e}, using basic search")
|
41 |
+
USE_IMPROVED_SEARCH = False
|
42 |
+
|
43 |
+
LOG_FILE = '/data/chat_logs.txt' if os.path.exists('/data') else 'chat_logs.txt'
|
44 |
+
print(f"Dosya yolu: {os.path.abspath(LOG_FILE)}")
|
45 |
+
API_URL = "https://api.openai.com/v1/chat/completions"
|
46 |
+
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
|
47 |
+
if not OPENAI_API_KEY:
|
48 |
+
print("Hata: OPENAI_API_KEY çevre değişkeni ayarlanmamış!")
|
49 |
+
|
50 |
+
GOOGLE_CREDENTIALS_PATH = os.getenv("GOOGLE_CREDENTIALS_PATH")
|
51 |
+
GOOGLE_FOLDER_ID = "1bE8aMj8-eFGftjMPOF8bKQJAhfHa0BN8"
|
52 |
+
file_lock = threading.Lock()
|
53 |
+
history_lock = threading.Lock()
|
54 |
+
global_chat_history = []
|
55 |
+
document_content = ""
|
56 |
+
products = []
|
57 |
+
improved_bot = None
|
58 |
|
59 |
def get_warehouse_stock(product_name):
|
60 |
+
try:
|
61 |
+
from smart_warehouse_with_price import get_warehouse_stock_smart_with_price
|
62 |
+
s = get_warehouse_stock_smart_with_price(product_name)
|
63 |
+
if s:
|
64 |
+
return s
|
65 |
+
except Exception:
|
66 |
+
try:
|
67 |
+
from smart_warehouse import get_warehouse_stock_smart
|
68 |
+
s = get_warehouse_stock_smart(product_name)
|
69 |
+
if s:
|
70 |
+
return s
|
71 |
+
except Exception:
|
72 |
+
pass
|
73 |
return get_warehouse_stock_old(product_name)
|
74 |
|
|
|
75 |
def get_warehouse_stock_old(product_name):
|
|
|
76 |
try:
|
77 |
import re
|
|
|
|
|
78 |
xml_text = None
|
79 |
for attempt in range(3):
|
80 |
try:
|
81 |
url = 'https://video.trek-turkey.com/bizimhesap-warehouse-xml-b2b-api-v2.php'
|
82 |
+
timeout_val = 10 + (attempt * 5)
|
83 |
response = requests.get(url, verify=False, timeout=timeout_val)
|
84 |
xml_text = response.text
|
85 |
break
|
|
|
88 |
return None
|
89 |
except Exception:
|
90 |
return None
|
|
|
|
|
91 |
def normalize(text):
|
92 |
tr_map = {'ı': 'i', 'ğ': 'g', 'ü': 'u', 'ş': 's', 'ö': 'o', 'ç': 'c', 'İ': 'i', 'I': 'i'}
|
93 |
text = text.lower()
|
94 |
for tr, en in tr_map.items():
|
95 |
text = text.replace(tr, en)
|
96 |
return text
|
|
|
|
|
97 |
query = normalize(product_name.strip()).replace('(2026)', '').replace('(2025)', '').strip()
|
98 |
words = query.split()
|
|
|
|
|
99 |
sizes = ['s', 'm', 'l', 'xl', 'xs', 'xxl', 'ml']
|
100 |
size = next((w for w in words if w in sizes), None)
|
|
|
|
|
101 |
product_words = []
|
102 |
+
if len(words) > 2 or any(w.isdigit() for w in words):
|
|
|
|
|
|
|
|
|
103 |
for word in words:
|
104 |
if word in sizes:
|
105 |
continue
|
|
|
119 |
if consonants <= 2:
|
120 |
continue
|
121 |
product_words.append(word)
|
122 |
+
import re as _re
|
123 |
+
all_products = _re.findall(r'<Product>(.*?)</Product>', xml_text, _re.DOTALL)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
124 |
best_match = None
|
125 |
for product_block in all_products:
|
126 |
+
name_match = _re.search(r'<ProductName><!\[CDATA\[(.*?)\]\]></ProductName>', product_block)
|
127 |
if not name_match:
|
128 |
continue
|
|
|
129 |
product_name_in_xml = name_match.group(1)
|
130 |
normalized_xml_name = normalize(product_name_in_xml)
|
|
|
131 |
match = True
|
132 |
for word in product_words:
|
133 |
if word not in normalized_xml_name:
|
134 |
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())):
|
135 |
match = False
|
136 |
break
|
|
|
137 |
if match:
|
138 |
if size:
|
139 |
+
variant_match = _re.search(r'<ProductVariant><!\[CDATA\[(.*?)\]\]></ProductVariant>', product_block)
|
140 |
if variant_match:
|
141 |
variant = variant_match.group(1)
|
142 |
if variant.upper().startswith(f'{size.upper()}-'):
|
|
|
143 |
best_match = product_block
|
144 |
break
|
145 |
else:
|
146 |
best_match = product_block
|
147 |
break
|
|
|
148 |
if best_match:
|
149 |
warehouse_info = []
|
150 |
+
warehouses = _re.findall(r'<Warehouse>.*?<Name><!\[CDATA\[(.*?)\]\]></Name>.*?<Stock>(.*?)</Stock>.*?</Warehouse>', best_match, _re.DOTALL)
|
|
|
|
|
151 |
for wh_name, wh_stock in warehouses:
|
152 |
try:
|
153 |
stock = int(wh_stock.strip())
|
|
|
163 |
else:
|
164 |
display = wh_name
|
165 |
warehouse_info.append(f"{display}: Mevcut")
|
166 |
+
except Exception:
|
167 |
pass
|
|
|
168 |
return warehouse_info if warehouse_info else ["Hiçbir mağazada mevcut değil"]
|
169 |
else:
|
|
|
170 |
return ["Hiçbir mağazada mevcut değil"]
|
|
|
171 |
except Exception as e:
|
172 |
print(f"Warehouse error: {e}")
|
173 |
return None
|
174 |
|
175 |
+
def load_products():
|
176 |
+
out = []
|
177 |
+
try:
|
178 |
+
url = 'https://www.trekbisiklet.com.tr/output/8582384479'
|
179 |
+
response = requests.get(url, verify=False, timeout=30)
|
180 |
+
if response.status_code != 200 or not response.content:
|
181 |
+
return out
|
182 |
+
root = ET.fromstring(response.content)
|
183 |
+
for item in root.findall('item'):
|
184 |
+
rootlabel_elem = item.find('rootlabel')
|
185 |
+
stock_elem = item.find('stockAmount')
|
186 |
+
if rootlabel_elem is None or stock_elem is None or rootlabel_elem.text is None:
|
187 |
+
continue
|
188 |
+
name_words = rootlabel_elem.text.lower().split()
|
189 |
+
if not name_words:
|
190 |
+
continue
|
191 |
+
name = name_words[0]
|
192 |
+
full_name = ' '.join(name_words)
|
193 |
+
stock_amount = "stokta" if stock_elem.text and stock_elem.text > '0' else "stokta değil"
|
194 |
+
if stock_amount == "stokta":
|
195 |
+
price_elem = item.find('priceTaxWithCur')
|
196 |
+
price_str = price_elem.text if price_elem is not None and price_elem.text else "Fiyat bilgisi yok"
|
197 |
+
price_eft_elem = item.find('priceEft')
|
198 |
+
price_eft_str = price_eft_elem.text if price_eft_elem is not None and price_eft_elem.text else ""
|
199 |
+
price_rebate_elem = item.find('priceRebateWithTax')
|
200 |
+
price_rebate_str = price_rebate_elem.text if price_rebate_elem is not None and price_rebate_elem.text else ""
|
201 |
+
price_rebate_money_order_elem = item.find('priceRebateWithMoneyOrderWithTax')
|
202 |
+
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 ""
|
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|
203 |
try:
|
204 |
+
price_float = float(price_str)
|
205 |
+
if price_float > 200000:
|
206 |
+
price = str(round(price_float / 5000) * 5000)
|
207 |
+
elif price_float > 30000:
|
208 |
+
price = str(round(price_float / 1000) * 1000)
|
209 |
+
elif price_float > 10000:
|
210 |
+
price = str(round(price_float / 100) * 100)
|
211 |
else:
|
212 |
+
price = str(round(price_float / 10) * 10)
|
213 |
+
except Exception:
|
214 |
+
price = price_str
|
215 |
+
if price_eft_str:
|
216 |
+
try:
|
217 |
+
price_eft_float = float(price_eft_str)
|
218 |
+
if price_eft_float > 200000:
|
219 |
+
price_eft = str(round(price_eft_float / 5000) * 5000)
|
220 |
+
elif price_eft_float > 30000:
|
221 |
+
price_eft = str(round(price_eft_float / 1000) * 1000)
|
222 |
+
elif price_eft_float > 10000:
|
223 |
+
price_eft = str(round(price_eft_float / 100) * 100)
|
224 |
+
else:
|
225 |
+
price_eft = str(round(price_eft_float / 10) * 10)
|
226 |
+
except Exception:
|
227 |
+
price_eft = price_eft_str
|
228 |
+
else:
|
229 |
+
price_eft = ""
|
230 |
+
if price_rebate_str:
|
231 |
+
try:
|
232 |
+
price_rebate_float = float(price_rebate_str)
|
233 |
+
if price_rebate_float > 200000:
|
234 |
+
price_rebate = str(round(price_rebate_float / 5000) * 5000)
|
235 |
+
elif price_rebate_float > 30000:
|
236 |
+
price_rebate = str(round(price_rebate_float / 1000) * 1000)
|
237 |
+
elif price_rebate_float > 10000:
|
238 |
+
price_rebate = str(round(price_rebate_float / 100) * 100)
|
239 |
+
else:
|
240 |
+
price_rebate = str(round(price_rebate_float / 10) * 10)
|
241 |
+
except Exception:
|
242 |
+
price_rebate = price_rebate_str
|
243 |
+
else:
|
244 |
+
price_rebate = ""
|
245 |
+
if price_rebate_money_order_str:
|
246 |
+
try:
|
247 |
+
price_rebate_money_order_float = float(price_rebate_money_order_str)
|
248 |
+
if price_rebate_money_order_float > 200000:
|
249 |
+
price_rebate_money_order = str(round(price_rebate_money_order_float / 5000) * 5000)
|
250 |
+
elif price_rebate_money_order_float > 30000:
|
251 |
+
price_rebate_money_order = str(round(price_rebate_money_order_float / 1000) * 1000)
|
252 |
+
elif price_rebate_money_order_float > 10000:
|
253 |
+
price_rebate_money_order = str(round(price_rebate_money_order_float / 100) * 100)
|
254 |
+
else:
|
255 |
+
price_rebate_money_order = str(round(price_rebate_money_order_float / 10) * 10)
|
256 |
+
except Exception:
|
257 |
+
price_rebate_money_order = price_rebate_money_order_str
|
258 |
+
else:
|
259 |
+
price_rebate_money_order = ""
|
260 |
+
product_url_elem = item.find('productLink')
|
261 |
+
product_url = product_url_elem.text if product_url_elem is not None and product_url_elem.text else ""
|
262 |
+
product_info = [stock_amount, price, product_url, price_eft, price_rebate, price_rebate_money_order]
|
263 |
+
image_elem = item.find('picture1Path')
|
264 |
+
if image_elem is not None and image_elem.text:
|
265 |
+
product_info.append(image_elem.text)
|
266 |
+
else:
|
267 |
+
product_info.append("")
|
268 |
else:
|
269 |
+
product_info = [stock_amount]
|
270 |
+
out.append((name, product_info, full_name))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
271 |
except Exception as e:
|
272 |
+
print(f"Ürün yükleme hatası: {e}")
|
273 |
+
return out
|
274 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
275 |
def download_documents_from_drive():
|
276 |
global document_content
|
|
|
277 |
if not GOOGLE_CREDENTIALS_PATH:
|
278 |
print("Google credentials dosyası bulunamadı.")
|
279 |
return
|
|
|
280 |
try:
|
281 |
credentials = Credentials.from_service_account_file(GOOGLE_CREDENTIALS_PATH)
|
282 |
service = build('drive', 'v3', credentials=credentials)
|
283 |
+
results = service.files().list(q=f"'{GOOGLE_FOLDER_ID}' in parents", fields="files(id, name, mimeType)").execute()
|
|
|
|
|
|
|
|
|
|
|
284 |
files = results.get('files', [])
|
285 |
all_content = []
|
|
|
286 |
for file in files:
|
287 |
+
if file.get('mimeType') == 'application/vnd.openxmlformats-officedocument.wordprocessingml.document':
|
|
|
288 |
request = service.files().get_media(fileId=file['id'])
|
289 |
file_io = io.BytesIO()
|
290 |
downloader = MediaIoBaseDownload(file_io, request)
|
|
|
291 |
done = False
|
292 |
while done is False:
|
293 |
status, done = downloader.next_chunk()
|
|
|
294 |
file_io.seek(0)
|
295 |
doc = Document(file_io)
|
|
|
296 |
content = f"\n=== {file['name']} ===\n"
|
297 |
for paragraph in doc.paragraphs:
|
298 |
if paragraph.text.strip():
|
299 |
content += paragraph.text + "\n"
|
|
|
300 |
all_content.append(content)
|
|
|
301 |
document_content = "\n".join(all_content)
|
|
|
|
|
302 |
except Exception as e:
|
303 |
print(f"Google Drive'dan döküman indirme hatası: {e}")
|
304 |
|
|
|
|
|
|
|
|
|
|
|
305 |
def clear_log_file():
|
306 |
try:
|
307 |
if os.path.exists(LOG_FILE):
|
308 |
with file_lock:
|
309 |
with open(LOG_FILE, 'w', encoding='utf-8') as f:
|
310 |
f.write("Log dosyası temizlendi.\n")
|
|
|
311 |
except Exception as e:
|
312 |
print(f"Log dosyası temizleme hatası: {e}")
|
313 |
|
|
|
314 |
def run_scheduler(chat_history):
|
315 |
schedule.every().day.at("03:00").do(clear_log_file)
|
316 |
while True:
|
317 |
schedule.run_pending()
|
318 |
time.sleep(60)
|
319 |
|
|
|
320 |
def chatbot_fn(user_message, history, image=None):
|
321 |
if history is None:
|
322 |
history = []
|
|
|
323 |
warehouse_stock_data = None
|
|
|
324 |
try:
|
325 |
warehouse_stock_data = get_warehouse_stock(user_message)
|
|
|
|
|
|
|
|
|
326 |
except Exception as e:
|
327 |
print(f"DEBUG - Warehouse stock error at start: {e}")
|
|
|
328 |
try:
|
329 |
if image is not None:
|
330 |
user_message = process_image_message(image, user_message)
|
|
|
331 |
comparison_result = handle_comparison_request(user_message)
|
332 |
if comparison_result:
|
333 |
yield comparison_result
|
334 |
return
|
335 |
except Exception as e:
|
336 |
print(f"Enhanced features error: {e}")
|
|
|
337 |
try:
|
338 |
with file_lock:
|
339 |
with open(LOG_FILE, 'a', encoding='utf-8') as f:
|
340 |
f.write(f"User: {user_message}\n")
|
341 |
except Exception as e:
|
342 |
print(f"Dosya yazma hatası (Kullanıcı): {e}")
|
|
|
343 |
system_messages = get_prompt_content_only()
|
|
|
344 |
if document_content:
|
345 |
system_messages.append({"role": "system", "content": f"Dökümanlardan gelen bilgiler: {document_content}"})
|
|
|
346 |
product_found_improved = False
|
347 |
if USE_IMPROVED_SEARCH and improved_bot:
|
348 |
try:
|
|
|
354 |
for store_info in warehouse_stock_data:
|
355 |
warehouse_info += f"• {store_info}\n"
|
356 |
enhanced_response += warehouse_info
|
|
|
357 |
elif warehouse_stock_data == ["Hiçbir mağazada mevcut değil"]:
|
358 |
enhanced_response += f"\n\n🏪 MAĞAZA STOK BİLGİLERİ: Hiçbir mağazada mevcut değil"
|
359 |
+
system_messages.append({"role": "system", "content": f"ÜRÜN BİLGİSİ:\n{enhanced_response}\n\nBu bilgileri kullanarak kullanıcıya yardımcı ol."})
|
|
|
|
|
|
|
|
|
|
|
360 |
product_found_improved = True
|
361 |
except Exception as e:
|
362 |
print(f"Improved search error: {e}")
|
|
|
363 |
if not product_found_improved:
|
|
|
364 |
if warehouse_stock_data and warehouse_stock_data != ["Hiçbir mağazada mevcut değil"]:
|
365 |
warehouse_info = f"🏪 MAĞAZA STOK BİLGİLERİ:\n"
|
366 |
for store_info in warehouse_stock_data:
|
367 |
warehouse_info += f"• {store_info}\n"
|
368 |
+
system_messages.append({"role": "system", "content": f"GÜNCEL STOK DURUMU:\n{warehouse_info}\n\nBu bilgileri kullanarak kullanıcıya hangi mağazada stok olduğunu söyle."})
|
|
|
|
|
|
|
|
|
369 |
elif warehouse_stock_data == ["Hiçbir mağazada mevcut değil"]:
|
370 |
+
system_messages.append({"role": "system", "content": "🏪 MAĞAZA STOK BİLGİLERİ: Sorduğunuz ürün hiçbir mağazada mevcut değil."})
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
371 |
messages = system_messages + history + [{"role": "user", "content": user_message}]
|
372 |
+
if not OPENAI_API_KEY:
|
373 |
+
yield "API anahtarı eksik."
|
374 |
+
return
|
375 |
payload = {
|
376 |
"model": "gpt-4.1",
|
377 |
"messages": messages,
|
|
|
386 |
"Content-Type": "application/json",
|
387 |
"Authorization": f"Bearer {OPENAI_API_KEY}"
|
388 |
}
|
|
|
389 |
response = requests.post(API_URL, headers=headers, json=payload, stream=True)
|
390 |
if response.status_code != 200:
|
391 |
yield "Bir hata oluştu."
|
392 |
return
|
|
|
393 |
partial_response = ""
|
|
|
394 |
for chunk in response.iter_lines():
|
395 |
if not chunk:
|
396 |
continue
|
|
|
407 |
print(f"JSON parse hatası: {e} - Chunk: {chunk_str}")
|
408 |
elif chunk_str == "data: [DONE]":
|
409 |
break
|
|
|
410 |
final_response = extract_product_info_for_gallery(partial_response)
|
411 |
yield final_response
|
|
|
412 |
try:
|
413 |
with file_lock:
|
414 |
with open(LOG_FILE, 'a', encoding='utf-8') as f:
|
415 |
f.write(f"Bot: {partial_response}\n")
|
416 |
except Exception as e:
|
417 |
print(f"Dosya yazma hatası (Bot): {e}")
|
|
|
418 |
with history_lock:
|
419 |
global_chat_history.append({"role": "user", "content": user_message})
|
420 |
global_chat_history.append({"role": "assistant", "content": partial_response})
|
421 |
|
|
|
422 |
def slow_echo(message, history):
|
423 |
for i in range(len(message)):
|
424 |
time.sleep(0.05)
|
425 |
yield "You typed: " + message[: i + 1]
|
426 |
|
|
|
427 |
USE_SLOW_ECHO = False
|
428 |
chat_fn = slow_echo if USE_SLOW_ECHO else chatbot_fn
|
429 |
|
430 |
+
if 'APP_INIT_DONE' not in globals():
|
431 |
+
APP_INIT_DONE = True
|
432 |
+
products = load_products()
|
433 |
+
print(f"Toplam {len(products)} ürün yüklendi.")
|
434 |
+
initialize_enhanced_features(OPENAI_API_KEY, products)
|
435 |
+
save_conversations_json()
|
436 |
+
if GOOGLE_CREDENTIALS_PATH:
|
437 |
+
document_thread = threading.Thread(target=download_documents_from_drive, daemon=True)
|
438 |
+
document_thread.start()
|
439 |
+
else:
|
440 |
+
print("Google credentials dosyası bulunamadı.")
|
441 |
+
if not USE_SLOW_ECHO:
|
442 |
+
scheduler_thread = threading.Thread(target=run_scheduler, args=(global_chat_history,), daemon=True)
|
443 |
+
scheduler_thread.start()
|
444 |
+
if USE_IMPROVED_SEARCH:
|
445 |
+
try:
|
446 |
+
improved_bot = ImprovedChatbot(products)
|
447 |
+
print("Improved product search initialized successfully")
|
448 |
+
except Exception as e:
|
449 |
+
print(f"Failed to initialize improved search: {e}")
|
450 |
+
USE_IMPROVED_SEARCH = False
|
451 |
+
|
452 |
custom_css = """
|
|
|
453 |
.gradio-container, .gradio-container * { font-family: 'Segoe UI', 'SF Pro Text', 'Roboto', -apple-system, BlinkMacSystemFont, 'Helvetica Neue', Arial, sans-serif !important; font-size: 0.6rem !important; }
|
454 |
"""
|
455 |
|
|
|
461 |
with gr.Blocks(css=custom_css, theme="soft", title="Trek Asistanı", head=storage_js) as demo:
|
462 |
gr.Markdown("# 🚲 Trek Asistanı AI")
|
463 |
gr.Markdown("**Akıllı özellikler:** Ürün karşılaştırması ve detaylı ürün bilgileri sunuyorum.")
|
|
|
464 |
chatbot = gr.Chatbot(height=600, elem_id="chatbot", show_label=False, type="messages")
|
465 |
+
msg = gr.Textbox(placeholder="Trek bisikletleri hakkında soru sorun...", show_label=False, elem_id="msg-input")
|
|
|
|
|
|
|
|
|
|
|
|
|
466 |
def respond(message, chat_history):
|
467 |
if not message.strip():
|
468 |
return "", chat_history
|
|
|
470 |
chat_history = []
|
471 |
chat_history.append({"role": "user", "content": message})
|
472 |
yield "", chat_history
|
|
|
473 |
formatted_history = []
|
474 |
for m in chat_history[:-1]:
|
475 |
formatted_history.append(m)
|
|
|
476 |
try:
|
477 |
response_generator = chatbot_fn(message, formatted_history, None)
|
478 |
response = ""
|
|
|
483 |
else:
|
484 |
chat_history[-1]["content"] = response
|
485 |
yield "", chat_history
|
|
|
486 |
try:
|
487 |
add_conversation(message, response)
|
488 |
+
save_conversations_json()
|
489 |
except Exception as e:
|
490 |
print(f"Error saving conversation: {e}")
|
|
|
491 |
except Exception as e:
|
492 |
error_msg = f"Üzgünüm, bir hata oluştu: {str(e)}"
|
493 |
print(f"Chat error: {e}")
|
|
|
496 |
else:
|
497 |
chat_history[-1]["content"] = error_msg
|
498 |
yield "", chat_history
|
|
|
499 |
msg.submit(respond, [msg, chatbot], [msg, chatbot], show_progress=True)
|
|
|
500 |
with gr.Accordion("📊 Konuşma Geçmişi (JSON)", open=False):
|
501 |
with gr.Row():
|
502 |
refresh_json_btn = gr.Button("🔄 Yenile", scale=1)
|
503 |
download_json_btn = gr.Button("💾 JSON İndir", scale=1)
|
504 |
view_dashboard_btn = gr.Button("📈 Dashboard'u Aç", scale=1)
|
|
|
505 |
json_display = gr.JSON(label="Konuşmalar", elem_id="json_viewer")
|
506 |
download_file = gr.File(label="İndir", visible=False)
|
|
|
507 |
def get_conversations_json():
|
508 |
from conversation_tracker import load_conversations
|
509 |
convs = load_conversations()
|
|
|
511 |
with open("temp_conversations.json", "w", encoding="utf-8") as f:
|
512 |
json_module.dump(convs, f, ensure_ascii=False, indent=2)
|
513 |
return convs
|
|
|
514 |
def download_conversations():
|
515 |
get_conversations_json()
|
516 |
return gr.update(visible=True, value="temp_conversations.json")
|
|
|
517 |
def open_dashboard():
|
518 |
return gr.HTML("""
|
519 |
<div style='padding: 20px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border-radius: 10px; color: white;'>
|
|
|
524 |
</ol>
|
525 |
</div>
|
526 |
""")
|
|
|
527 |
refresh_json_btn.click(get_conversations_json, outputs=json_display)
|
528 |
download_conversations_btn = download_json_btn
|
529 |
download_conversations_btn.click(download_conversations, outputs=download_file)
|
530 |
view_dashboard_btn.click(open_dashboard, outputs=json_display)
|
531 |
demo.load(get_conversations_json, outputs=json_display)
|
532 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
533 |
api = FastAPI()
|
534 |
api.add_middleware(
|
535 |
CORSMiddleware,
|
536 |
+
allow_origins=["*"],
|
537 |
allow_credentials=False,
|
538 |
allow_methods=["GET"],
|
539 |
allow_headers=["*"],
|
|
|
558 |
body, code = _read_json_safely("public/conversations.json")
|
559 |
return Response(content=body, media_type="application/json", status_code=code)
|
560 |
|
|
|
561 |
app = gr.mount_gradio_app(api, demo, path="/")
|
|
|
|