Update app.py

app.py

@@ -1955,34 +1955,31 @@ async def process_incoming_message(from_number: str, msg: dict):
                 return
 
         else:
-            # Enhanced "not found" response with veterinary suggestions
-            message = (
-                "❌ *Product Not Found*\n\n"
-                f"🔍 *We couldn't find '{message_body}' in our veterinary database.*\n\n"
-                "💡 *Try these alternatives:*\n"
-                "• Check spelling (e.g., 'Hydropex' not 'Hydro pex')\n"
-                "• Search by symptoms (e.g., 'respiratory', 'liver support')\n"
-                "• Search by category (e.g., 'antibiotic', 'vitamin')\n"
-                "• Search by species (e.g., 'poultry', 'livestock')\n\n"
-                "🏥 *Popular Veterinary Products:*\n"
-                "• Hydropex (Electrolyte supplement)\n"
-                "• Heposel (Liver tonic)\n"
-                "• Bromacid (Respiratory support)\n"
-                "• Tribiotic (Antibiotic)\n"
-                "• Symodex (Multivitamin)\n\n"
-                "💬 *Type 'main' to return to main menu or try another search.*"
-            )
+            # Check for specific query types before falling back to generic response
+            query_lower = message_body.lower().strip()
             
-            # Translate response if needed
-            if reply_language == 'ur':
-                try:
-                    translated_message = GoogleTranslator(source='auto', target='ur').translate(message)
-                    send_whatsjet_message(from_number, translated_message)
-                except Exception as e:
-                    logger.error(f"[AI] Translation error: {e}")
-                    send_whatsjet_message(from_number, message)
-            else:
-                send_whatsjet_message(from_number, message)
+            # Check for company/about queries
+            if any(keyword in query_lower for keyword in ['apex', 'company', 'about', 'who', 'what is']):
+                # Use OpenAI for company information
+                await handle_general_query_with_ai(from_number, message_body, user_context, reply_language)
+                return
+            
+            # Check for product-specific questions (mode of action, dosage, etc.)
+            product_question_keywords = ['mode of action', 'dosage', 'administration', 'composition', 'indications', 'precautions', 'storage', 'how to use', 'side effects']
+            if any(keyword in query_lower for keyword in product_question_keywords):
+                # Use OpenAI for product-specific questions
+                await handle_general_query_with_ai(from_number, message_body, user_context, reply_language)
+                return
+            
+            # Check for general veterinary questions
+            veterinary_keywords = ['weather', 'temperature', 'disease', 'symptoms', 'treatment', 'prevention', 'vaccination', 'nutrition', 'health']
+            if any(keyword in query_lower for keyword in veterinary_keywords):
+                # Use OpenAI for general veterinary questions
+                await handle_general_query_with_ai(from_number, message_body, user_context, reply_language)
+                return
+            
+            # Simple one-liner for wrong queries
+            send_whatsjet_message(from_number, "❌ Please correct your question or type 'main' to go to main menu.")
             
         # 🎯 PRIORITY 5: Default: treat as general query with intelligent product inquiry
         await handle_intelligent_product_inquiry(from_number, message_body, user_context, reply_language)
@@ -2006,17 +2003,29 @@ async def handle_general_query_with_ai(from_number: str, query: str, user_contex
         current_state = user_context.get('current_state', 'main_menu')
         current_product = user_context.get('current_product')
         prompt = f"""
-You are a professional veterinary product assistant for Apex Biotical, helping users on WhatsApp.
-Always answer in a clear, accurate, and helpful manner.
+You are a professional veterinary product assistant for Apex Biotical Solutions, helping users on WhatsApp.
+Always answer in a clear, accurate, and helpful manner with proper formatting and emojis.
 
 User Query: "{query}"
 Current State: {current_state}
 Current Product: {current_product.get('Product Name', 'None') if current_product else 'None'}
 
-If the user asks about products (e.g., 'poultry products', 'respiratory medicine'), list ALL relevant products from the database with a short description for each. If there are many, summarize or group them.
-If the user asks a general veterinary question, provide a concise, expert answer.
-If the query is outside the menu system, politely clarify and offer to return to the main menu (type 'main').
-Always keep responses professional, concise, and user-friendly.
+IMPORTANT INSTRUCTIONS:
+1. If the user asks about "Apex" or "Apex Biotical" - provide a comprehensive, professional overview of Apex Biotical Solutions as a veterinary pharmaceutical company, including their expertise, product range, and commitment to animal health.
+
+2. If the user asks about specific product details (mode of action, dosage, administration, composition, etc.) - search through the veterinary products database and provide detailed, accurate information about the specific product mentioned.
+
+3. If the user asks about products (e.g., 'poultry products', 'respiratory medicine'), list ALL relevant products from the database with a short description for each.
+
+4. If the user asks a general veterinary question, provide a concise, expert answer.
+
+5. If the query is about weather or non-veterinary topics, politely redirect to veterinary-related questions.
+
+6. Always keep responses professional, concise, and user-friendly with proper formatting.
+7. Use emojis and bullet points for better readability.
+8. If you don't have specific information, say so clearly and suggest alternatives.
+
+Available Products Database: {products_df.to_dict('records') if products_df is not None else 'No products loaded'}
 """
         response = openai.ChatCompletion.create(
             model="gpt-4o",
@@ -3729,7 +3738,31 @@ async def handle_intelligent_product_inquiry(from_number: str, query: str, user_
                 # The actual sending of product details should be handled by the caller
                 return selected_product
         else:
-            send_whatsjet_message(from_number, "❌ No products found matching your query.\nType 'main' to return to the main menu.")
+            # Check for specific query types before falling back to generic response
+            query_lower = query.lower().strip()
+            
+            # Check for company/about queries
+            if any(keyword in query_lower for keyword in ['apex', 'company', 'about', 'who', 'what is']):
+                # Use OpenAI for company information
+                await handle_general_query_with_ai(from_number, query, user_context, reply_language)
+                return
+            
+            # Check for product-specific questions (mode of action, dosage, etc.)
+            product_question_keywords = ['mode of action', 'dosage', 'administration', 'composition', 'indications', 'precautions', 'storage', 'how to use', 'side effects']
+            if any(keyword in query_lower for keyword in product_question_keywords):
+                # Use OpenAI for product-specific questions
+                await handle_general_query_with_ai(from_number, query, user_context, reply_language)
+                return
+            
+            # Check for general veterinary questions
+            veterinary_keywords = ['weather', 'temperature', 'disease', 'symptoms', 'treatment', 'prevention', 'vaccination', 'nutrition', 'health']
+            if any(keyword in query_lower for keyword in veterinary_keywords):
+                # Use OpenAI for general veterinary questions
+                await handle_general_query_with_ai(from_number, query, user_context, reply_language)
+                return
+            
+            # Simple one-liner for wrong queries
+            send_whatsjet_message(from_number, "❌ Please correct your question or type 'main' to go to main menu.")
     except Exception as e:
         logger.error(f"Error in handle_intelligent_product_inquiry: {e}")
         send_whatsjet_message(from_number, "❌ Error processing your request. Type 'main' to return to the main menu.")