Enhance property search and reset functionality in chat

- Expanded property search detection by adding more phrases to identify user intent.
- Introduced handling for "new requirements" requests, allowing users to reset their search criteria and clear previous persona data.
- Implemented database updates to reset user persona fields when new requirements are specified, improving user interaction and experience.
- Added debug print statements for better tracking of property search and greeting detection processes.

ai_chat.py

@@ -328,7 +328,7 @@ async def process_message(user_message: str, user_info: dict = None, session_id:
     
     # 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", "show"
+        "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", "do you have", "have any", "properties like", "any properties", "any listings"
     ]
     is_property_search = any(phrase in user_message.lower() for phrase in property_search_phrases)
     
@@ -336,7 +336,11 @@ async def process_message(user_message: str, user_info: dict = None, session_id:
     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)
     
+    print(f"Debug - is_property_search: {is_property_search}, is_greeting: {is_greeting}")
+    print(f"Debug - user_message: '{user_message}'")
+    
     if is_property_search and not is_greeting:
+        print(f"Property search detected: {user_message}")
         property_msgs = await handle_property_search(user_message, updated_persona)
         for msg in property_msgs:
             # Send each property message (simulate WhatsApp message send)
@@ -397,6 +401,27 @@ async def process_message(user_message: str, user_info: dict = None, session_id:
                 
                 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?"
     
+    # Handle "new requirements" or "start fresh" requests
+    new_requirements_phrases = ["new requirements", "new search", "start fresh", "different requirements", "change requirements", "reset", "clear", "new criteria"]
+    if any(phrase in user_message.lower() for phrase in new_requirements_phrases):
+        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} due to new requirements")
+            except Exception as e:
+                print(f"Error resetting persona: {e}")
+        
+        return f"Perfect! I've cleared your previous requirements. Hi {user_info.get('name', 'there')}! 👋\n\nWhat are your new requirements for an industrial property?"
+    
     # Process with AI
     result = await chat_graph.ainvoke({
         "user_message": user_message,