Enhance logging in property search functionality

- Added logging statements in `search_properties` to provide insights into the number of properties in the database, search filters applied, and results obtained.
- Improved traceability by logging the execution flow, including city and location filter attempts, budget and size constraints, and must-have features during the property search process.

database.py

@@ -301,33 +301,48 @@ async def search_properties(filters: dict) -> list:
         return []
     
     try:
+        # First, let's see if there are any properties at all
+        test_query = supabase.table("properties").select("*").limit(5)
+        test_resp = test_query.execute()
+        print(f"Total properties in database: {len(test_resp.data) if test_resp.data else 0}")
+        if test_resp.data:
+            print(f"Sample properties: {test_resp.data}")
+        
         query = supabase.table("properties").select("*").eq("is_active", True)
         print("Base query created")
         
         # a. Location: try city first, then location field
         loc = filters.get("location_preference")
         if loc:
+            print(f"Searching for location: {loc}")
             query = query.ilike("city", f"%{loc}%")
+            print(f"After city filter: {query}")
             resp = query.execute()
+            print(f"City search result: {resp.data}")
             if not resp.data:
                 # fallback to suburb/area match
+                print(f"No city matches, trying location field...")
                 query = supabase.table("properties").select("*")\
                     .eq("is_active", True)\
                     .ilike("location", f"%{loc}%")
+                print(f"After location filter: {query}")
         
         # b. Budget cap
         budget = filters.get("budget")
         if budget is not None:
+            print(f"Adding budget filter: <= {budget}")
             query = query.lte("price", budget)
         
         # c. Minimum size
         size = filters.get("size_preference_sqm")
         if size is not None:
+            print(f"Adding size filter: >= {size}")
             query = query.gte("size_sqm", size)
         
         # d. Must-have features
         features = filters.get("must_have") or []
         for feat in features:
+            print(f"Adding feature filter: {feat}")
             query = query.contains("features", [feat])
         
         # e. Order & limit