Enhance intent extraction and debugging in AI chat

- Updated the normalization instructions for abbreviations and common terms to improve clarity and user understanding.
- Added debug print statements to log intent extraction results, errors, and classification checks, enhancing traceability during the intent processing.
- Refined the property search logic to utilize the extracted classification more effectively, ensuring that searches are only conducted when appropriate.

ai_chat.py

@@ -187,7 +187,11 @@ async def extract_and_update_intent(state):
     - Must-haves: {intent.get('must_have', [])}
 
     Instructions:
-    1. Normalize abbreviations (e.g., 'sqm' → 'square metres') and correct any spelling mistakes.
+    1. Normalize abbreviations and common terms:
+       - 'JHB' or 'Jhb' → 'Johannesburg'
+       - 'CT' or 'Cape Town' → 'Cape Town'
+       - 'DBN' or 'Durban' → 'Durban'
+       - 'sqm' → 'square metres'
     2. For must_have field: Determine if the user is ADDING new requirements, CHANGING their mind, or CLARIFYING existing ones.
        - If adding: Include both existing and new items in the array
        - If changing: Replace with new requirements
@@ -215,8 +219,10 @@ async def extract_and_update_intent(state):
             return state
         
         extracted = json.loads(content)
+        print(f"DEBUG - Intent extraction result: {extracted}")
     except Exception as e:
         extracted = {}
+        print(f"DEBUG - Intent extraction error: {e}")
 
     # Check if this is a general area search (like "what do you have in [area]")
     is_general_area_search = (
@@ -255,6 +261,7 @@ async def extract_and_update_intent(state):
                 intent[field] = new_val
 
     state["intent"] = intent
+    print(f"DEBUG - Final intent state: {state['intent']}")
 
     missing = [f for f in intent_fields if state["intent"].get(f) is None]
     if missing:
@@ -283,7 +290,9 @@ Return only the tag.
 Message: {user_message}
 """
     resp = await llm.ainvoke([{"role":"user","content":prompt}])
-    state["classification"] = resp.content.strip()
+    classification = resp.content.strip()
+    state["classification"] = classification
+    print(f"DEBUG - Classification result: '{classification}' for message: '{user_message}'")
     return {"response": None}
 
 async def extract_and_search_properties(state):
@@ -291,7 +300,10 @@ async def extract_and_search_properties(state):
     Search for properties based on user intent and store results in state.
     """
     # Only search when the LLM tagged this as a listings request
-    if state.get("classification") != "search_listings":
+    classification = state.get("classification")
+    print(f"DEBUG - Property search classification check: '{classification}'")
+    if classification != "search_listings":
+        print(f"DEBUG - Skipping property search, classification is '{classification}'")
         return {"response": None}
 
     intent = state.get("intent", {})