Implement enhanced greeting and property search handling in chat

- Added logic to differentiate between property search requests and greetings, ensuring property searches are only triggered when explicitly asked.
- Introduced personalized greeting messages based on user persona, prompting users about their property search preferences.
- Implemented response handling for user replies to greeting questions, allowing for seamless transitions between continuing a search or starting fresh.
- Integrated database updates to reset user persona data when requested, improving user experience and interaction flow.

ai_chat.py

@@ -12,6 +12,8 @@ from persona_manager import (
     get_persona_summary,
     extract_persona_from_message
 )
+from config import supabase
+from datetime import datetime
 import re
 
 def chat_with_session_memory(state):
@@ -324,12 +326,17 @@ async def process_message(user_message: str, user_info: dict = None, session_id:
         conversation_context = " ".join([msg["content"] for msg in session_messages[-5:]]) + " " + user_message
         should_ask, field_to_ask = await should_ask_persona_question(updated_persona, conversation_context)
     
-    # Check for property search intent
+    # Check for property search intent - ONLY if user explicitly asks for properties
     property_search_phrases = [
-        "show me properties", "property in", "warehouse in", "industrial in", "listings in", "toon my eiendomme", "warehouse", "factory", "show me warehouses", "show me listings"
+        "show me properties", "property in", "warehouse in", "industrial in", "listings in", "toon my eiendomme", "warehouse", "factory", "show me warehouses", "show me listings", "show me", "show"
     ]
     is_property_search = any(phrase in user_message.lower() for phrase in property_search_phrases)
-    if persona.get("location_preference") or is_property_search:
+    
+    # Only trigger property search if user explicitly asks for properties, NOT for greetings
+    greeting_phrases = ["hi", "hello", "hey", "good morning", "good afternoon", "good evening", "morning", "afternoon", "evening"]
+    is_greeting = any(phrase in user_message.lower() for phrase in greeting_phrases)
+    
+    if is_property_search and not is_greeting:
         property_msgs = await handle_property_search(user_message, updated_persona)
         for msg in property_msgs:
             # Send each property message (simulate WhatsApp message send)
@@ -337,6 +344,59 @@ async def process_message(user_message: str, user_info: dict = None, session_id:
         # If property suggestions were sent, return the first as the AI response (rest will be sent as follow-ups)
         return property_msgs[0] if property_msgs else "Let me know if you'd like to see images or more details!"
     
+    # Handle greetings with persona context
+    if is_greeting and updated_persona.get("location_preference"):
+        # User has a persona, ask if they're still looking
+        persona_summary = get_persona_summary(updated_persona)
+        greeting_msg = f"Hi {user_info.get('name', 'there')}! 👋\n\nI see you were previously looking for properties in {updated_persona['location_preference'].title()}"
+        
+        if updated_persona.get("size_preference_sqm"):
+            greeting_msg += f" around {updated_persona['size_preference_sqm']} sqm"
+        
+        if updated_persona.get("budget"):
+            greeting_msg += f" with a budget of R{int(updated_persona['budget']):,} per month"
+        
+        greeting_msg += ".\n\nAre you still looking for properties with these requirements, or would you like to start fresh?"
+        
+        return greeting_msg
+    
+    # Handle responses to the greeting question
+    if session_messages and session_messages[-1]["role"] == "assistant":
+        last_ai_message = session_messages[-1]["content"]
+        if "Are you still looking for properties with these requirements" in last_ai_message:
+            user_response_lower = user_message.lower()
+            
+            # Check for affirmative responses
+            affirmative_words = ["yes", "yeah", "yep", "sure", "ok", "okay", "correct", "right", "that's right", "exactly", "still looking", "still searching"]
+            negative_words = ["no", "nope", "not", "start fresh", "new search", "different", "change", "reset"]
+            
+            if any(word in user_response_lower for word in affirmative_words):
+                # User wants to continue with current persona, search for properties
+                property_msgs = await handle_property_search(user_message, updated_persona)
+                for msg in property_msgs:
+                    print(f"Property suggestion: {msg}")
+                return property_msgs[0] if property_msgs else "Let me know if you'd like to see images or more details!"
+            
+            elif any(word in user_response_lower for word in negative_words):
+                # User wants to start fresh, reset persona
+                if wa_id:
+                    # Reset persona fields
+                    reset_data = {
+                        "location_preference": None,
+                        "size_preference_sqm": None,
+                        "budget": None,
+                        "must_have": None,
+                        "intent": None,
+                        "updated_at": datetime.utcnow().isoformat()
+                    }
+                    try:
+                        supabase.table("user_personas").update(reset_data).eq("wa_id", wa_id).execute()
+                        print(f"Reset persona for user {wa_id}")
+                    except Exception as e:
+                        print(f"Error resetting persona: {e}")
+                
+                return f"Perfect! Let's start fresh. Hi {user_info.get('name', 'there')}! 👋\n\nHow can I help you find the perfect industrial property today?"
+    
     # Process with AI
     result = await chat_graph.ainvoke({
         "user_message": user_message,