from flask import Flask, render_template, request, jsonify from simple_salesforce import Salesforce from dotenv import load_dotenv import os import logging import uuid from datetime import datetime # Load environment variables load_dotenv() # Set up logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) app = Flask(__name__, template_folder='templates', static_folder='static') # Salesforce connection function def get_salesforce_connection(): try: sf = Salesforce( username=os.getenv('SFDC_USERNAME'), password=os.getenv('SFDC_PASSWORD'), security_token=os.getenv('SFDC_SECURITY_TOKEN'), domain=os.getenv('SFDC_DOMAIN', 'login') ) logger.info("Successfully connected to Salesforce") return sf except Exception as e: logger.error(f"Error connecting to Salesforce: {e}") return None # Initialize Salesforce connection sf = get_salesforce_connection() # Initialize OpenAI client openai_api_key = os.getenv('OPENAI_API_KEY') if not openai_api_key: logger.error("OPENAI_API_KEY not found in .env. ChatGPT functionality disabled.") client = None else: try: client = OpenAI(api_key=openai_api_key) test_response = client.chat.completions.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Test API key"}] ) logger.info("OpenAI API key validated successfully") except Exception as e: logger.error(f"Invalid OpenAI API key or connection issue: {e}") client = None # Conversation storage conversation_sessions = {} def is_restaurant_related(query): keywords = ['use', 'uses', 'dish', 'recipe', 'ingredient', 'food', 'menu', 'vegetarian', 'non-vegetarian', 'rice', 'chicken', 'pasta', 'veggie', 'mutton', 'lamb', 'beef', 'pork', 'fish', 'seafood', 'ingredients', 'nutrition', 'nutritional', 'info', 'message', 'messages'] return bool(query.strip() and any(keyword in query.lower() for keyword in keywords)) or any(item in query.lower() for item in ['mutton', 'rice', 'chicken']) def get_chatgpt_response(prompt, session_id): if not client: logger.warning("No OpenAI client available, using mock ChatGPT response") if any(item in prompt.lower() for item in ['mutton', 'rice', 'chicken']): return f"{prompt.capitalize()} is great for curries or roasts in a restaurant!" return "I can help with food! Try 'uses of mutton' or 'ingredients for rice'." if session_id not in conversation_sessions: conversation_sessions[session_id] = [ {"role": "system", "content": "You are a restaurant culinary assistant. Respond only to queries about ingredients, dishes, or recipes. Provide concise, friendly answers. For unclear queries, suggest: 'Try 'uses of mutton' or 'ingredients for rice'.'"} ] prompt = prompt.strip().lower() logger.info(f"Processing prompt: {prompt}") if not is_restaurant_related(prompt): logger.info(f"Off-topic or empty query: {prompt}") return "I can help with food! Try 'uses of mutton' or 'ingredients for rice'." intent = "uses" item = prompt if "what is the use of" in prompt or "uses of" in prompt: item = prompt.replace("what is the use of ", "").replace("uses of ", "").strip() or prompt prompt = f"Provide the culinary uses of '{item}' for a restaurant. Be concise and friendly. If unknown, say 'Great for many dishes!'" elif any(word in prompt for word in ['suggest', 'recipe', 'dish']): intent = "suggest" prompt = f"Suggest a restaurant dish based on: {prompt}. Include ingredients and be concise." elif any(word in prompt for word in ['ingredients', 'ingredient']): intent = "ingredients" item = prompt.replace("ingredients for ", "").replace("ingredient of ", "").strip() or prompt prompt = f"List common ingredients for a restaurant dish using '{item}'. Be concise and realistic." elif any(word in prompt for word in ['nutrition', 'nutritional', 'info']): intent = "nutrition" item = prompt.replace("nutrition of ", "").replace("nutritional info for ", "").strip() or prompt prompt = f"Provide a concise, approximate nutritional overview (calories, protein, fat, carbs) for a restaurant portion of '{item}'. Use general culinary knowledge and keep it friendly." elif any(item in prompt for item in ['mutton', 'rice', 'chicken', 'pasta', 'veggie', 'lamb', 'beef', 'pork', 'fish', 'seafood']): prompt = f"Provide the culinary uses of '{item}' for a restaurant. Be concise and friendly. If unknown, say 'Great for many dishes!'" else: logger.info(f"Unclear intent, defaulting to uses for: {prompt}") prompt = f"Provide the culinary uses of '{prompt}' for a restaurant. Be concise and friendly. If unknown, say 'Great for many dishes!'" conversation_sessions[session_id].append({"role": "user", "content": prompt}) try: response = client.chat.completions.create( model="gpt-3.5-turbo", messages=conversation_sessions[session_id], max_tokens=150, timeout=10 ) reply = response.choices[0].message.content.strip() conversation_sessions[session_id].append({"role": "assistant", "content": reply}) logger.info(f"ChatGPT response for '{prompt}': {reply}") return reply except Exception as e: logger.error(f"OpenAI API error: {e}") return f"Sorry, API failed. Mock response: {prompt.capitalize()} is great for curries or roasts!" @app.route('/') def index(): return render_template('index.html') @app.route('/get_menu_items', methods=['POST']) def get_menu_items(): global sf if not sf: sf = get_salesforce_connection() if not sf: return jsonify({"error": "Unable to connect to Salesforce"}), 500 data = request.json dietary_preference = data.get('dietary_preference', 'both').lower() search_term = data.get('search_term', '').strip() try: items = [] if not search_term: soql = "SELECT Name, Image_URL__c, Category__c, Description__c FROM Sector_Detail__c" if dietary_preference == 'vegetarian': soql += " WHERE Category__c = 'Veg'" elif dietary_preference == 'non-vegetarian': soql += " WHERE Category__c = 'Non-Veg'" soql += " LIMIT 200" result = sf.query(soql) items = [ { "name": r['Name'], "image_url": r.get('Image_URL__c', ''), "category": r.get('Category__c', ''), "description": r.get('Description__c', 'No description'), "source": "Sector_Detail__c" } for r in result['records'] if 'Name' in r ] else: soql_menu = "SELECT Name, Description__c, Image1__c, Ingredientsinfo__c, NutritionalInfo__c, Price__c, Sector__c, Spice_Levels__c, Veg_NonVeg__c, Category__c, Dynamic_Dish__c FROM Menu_Item__c" soql_menu += f" WHERE Name LIKE '%{search_term}%' OR Ingredientsinfo__c LIKE '%{search_term}%'" if dietary_preference == 'vegetarian': soql_menu += " AND Veg_NonVeg__c = 'Vegetarian'" elif dietary_preference == 'non-vegetarian': soql_menu += " AND Veg_NonVeg__c = 'Non-Vegetarian'" soql_menu += " LIMIT 200" logger.info(f"Executing SOQL query for Menu_Item__c: {soql_menu}") result_menu = sf.query(soql_menu) menu_items = [ { "name": record['Name'], "description": record.get('Description__c', 'No description available'), "image_url": record.get('Image1__c', ''), "ingredients": record.get('Ingredientsinfo__c', ''), "nutritional_info": record.get('NutritionalInfo__c', ''), "price": record.get('Price__c', 0.0), "sector": record.get('Sector__c', ''), "spice_levels": record.get('Spice_Levels__c', ''), "veg_nonveg": record.get('Veg_NonVeg__c', ''), "category": record.get('Category__c', ''), "dynamic_dish": record.get('Dynamic_Dish__c', False), "source": "Menu_Item__c" } for record in result_menu['records'] if 'Name' in record ] items.extend(menu_items) return jsonify({"menu_items": items}) except Exception as e: logger.error(f"Failed to fetch items: {e}") return jsonify({"error": f"Failed to fetch items: {e}"}), 500 @app.route('/get_sector_item_details', methods=['POST']) def get_sector_item_details(): global sf if not sf: sf = get_salesforce_connection() if not sf: return jsonify({"error": "Unable to connect to Salesforce"}), 500 item_name = request.json.get('item_name', '').strip() if not item_name: return jsonify({"error": "Item name is required"}), 400 try: soql = f"SELECT Name, Image_URL__c, Category__c, Description__c FROM Sector_Detail__c WHERE Name LIKE '%{item_name}%' LIMIT 1" logger.info(f"Executing SOQL query: {soql}") result = sf.query(soql) if result['totalSize'] == 0: return jsonify({"error": f"No item found matching '{item_name}' in Sector_Detail__c"}), 404 record = result['records'][0] item_details = { "name": record.get('Name', ''), "image_url": record.get('Image_URL__c', 'https://via.placeholder.com/30'), "category": record.get('Category__c', ''), "description": record.get('Description__c', 'No description available') } logger.info(f"Fetched details for '{item_name}' from Sector_Detail__c") return jsonify({"item_details": item_details}) except Exception as e: logger.error(f"Failed to fetch item details from Sector_Detail__c: {e}") return jsonify({"error": f"Failed to fetch item details: {e}"}), 500 @app.route('/suggest_items', methods=['POST']) def suggest_items(): global sf if not sf: sf = get_salesforce_connection() if not sf: return jsonify({"error": "Unable to connect to Salesforce"}), 500 search_term = request.json.get('search_term', '').strip() if not search_term: return jsonify({"error": "Search term is required"}), 400 try: soql = f"SELECT Ingredient_Name__c, Image_URL__c FROM Ingredient_Object__c WHERE Ingredient_Name__c LIKE '%{search_term}%' LIMIT 10" logger.info(f"Executing SOQL query: {soql}") result = sf.query(soql) suggestions = [ {"name": record['Ingredient_Name__c'], "image_url": record.get('Image_URL__c', '')} for record in result['records'] if 'Ingredient_Name__c' in record ] logger.info(f"Fetched {len(suggestions)} suggestions for '{search_term}'") return jsonify({"suggestions": suggestions}) except Exception as e: logger.error(f"Failed to fetch suggestions: {e}") return jsonify({"error": f"Failed to fetch suggestions: {e}"}), 500 @app.route('/get_item_details', methods=['POST']) def get_item_details(): global sf if not sf: sf = get_salesforce_connection() if not sf: return jsonify({"error": "Unable to connect to Salesforce"}), 500 item_name = request.json.get('item_name', '').strip() if not item_name: return jsonify({"error": "Item name is required"}), 400 try: soql = f"SELECT Ingredient_Name__c, Image_URL__c FROM Ingredient_Object__c WHERE Ingredient_Name__c LIKE '%{item_name}%' LIMIT 1" logger.info(f"Executing SOQL query: {soql}") result = sf.query(soql) if result['totalSize'] == 0: return jsonify({"error": f"No item found matching '{item_name}' in Ingredient_Object__c"}), 404 record = result['records'][0] item_details = { "name": record.get('Ingredient_Name__c', ''), "image_url": record.get('Image_URL__c', '') } logger.info(f"Fetched details for '{item_name}'") return jsonify({"item_details": item_details}) except Exception as e: logger.error(f"Failed to fetch item details: {e}") return jsonify({"error": f"Failed to fetch item details: {e}"}), 500 @app.route('/submit_items', methods=['POST']) def submit_items(): global sf if not sf: sf = get_salesforce_connection() if not sf: return jsonify({"error": "Unable to connect to Salesforce"}), 500 items = request.json.get('items', []) custom_order_name = request.json.get('custom_order_name', '') if not items: return jsonify({"error": "No items to submit"}), 400 try: ingredient_name = custom_order_name or f"Order_{datetime.now().strftime('%Y%m%d')}_{uuid.uuid4().hex[:8]}" item_names = ', '.join(item['name'] for item in items) description = f"Contains: {item_names}" for item in items: sf.Ingredient_Object__c.create({ 'Ingredient_Name__c': ingredient_name, 'Category__c': item.get('category', ''), 'Description__c': f"{item.get('description', 'No description')} - {description}", 'Image_URL__c': item.get('image_url', ''), 'Quantity__c': item.get('quantity', 1) }) return jsonify({"success": f"Submitted {len(items)} items under {ingredient_name}", "ingredient_name": ingredient_name}) except Exception as e: logger.error(f"Failed to submit items: {e}") return jsonify({"error": f"Failed to submit items: {e}"}), 500 @app.route('/get_item_info', methods=['POST']) def get_item_info(): global sf, client item_name = request.json.get('item_name', '').strip() if not item_name or not client: return jsonify({"error": "Item name required or OpenAI unavailable"}), 400 try: soql = f"SELECT Name, Description__c FROM Sector_Detail__c WHERE Name LIKE '%{item_name}%' LIMIT 1" result = sf.query(soql) if result['totalSize'] == 0: return jsonify({"error": f"No item found matching '{item_name}'"}), 404 record = result['records'][0] base_info = record.get('Description__c', 'No description available') prompt = f"Based on general culinary knowledge, provide a concise list of common ingredients and an approximate nutritional overview (calories, protein, fat, carbs) for a restaurant portion of '{item_name}'. Use realistic values and keep it friendly." response = client.chat.completions.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": prompt}], max_tokens=150, timeout=10 ) ai_response = response.choices[0].message.content.strip() item_info = { "name": record['Name'], "description": base_info, "details": ai_response } logger.info(f"Generated info for '{item_name}'") return jsonify({"item_info": item_info}) except Exception as e: logger.error(f"Failed to get item info: {e}") return jsonify({"error": f"Failed to get item info: {e}"}), 500 @app.route('/chat', methods=['POST']) def chat(): user_message = request.json.get('message', '').strip() session_id = request.json.get('session_id', 'default') if not user_message: return jsonify({"error": "No message provided"}), 400 response = get_chatgpt_response(user_message, session_id) logger.info(f"Chat response sent: {response}") return jsonify({"response": response, "search_term": user_message}) if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=7860)