diff --git a/city_detection_ip.py b/city_detection_ip.py
index 8165e29..c1310f0 100644
--- a/city_detection_ip.py
+++ b/city_detection_ip.py
@@ -14,7 +14,6 @@ from django.core.wsgi import get_wsgi_application
 application = get_wsgi_application()
 
 from apps.account.models import LoginHistory
-# from apps.account.models.geoNames import GeoNamesCity
 
 # Configure logging
 logger = logging.getLogger(__name__)
@@ -72,44 +71,40 @@ def get_location_by_coordinates_optimized(lat, lon):
         lon_max = lon + lon_range
 
         # Query with population weighting to prefer larger cities
-        # Debug query (optional - if fails, we continue without debug info)
-        try:
-            with connection.cursor() as cursor:
-                cursor.execute("""
-                    WITH bounded_cities AS (
-                        SELECT name, country_code, latitude, longitude, population
-                        FROM geonames_city
-                        WHERE feature_class = 'P'
-                          AND latitude BETWEEN %s AND %s
-                          AND longitude BETWEEN %s AND %s
-                    ),
-                    distance_calc AS (
-                        SELECT name, country_code, population,
-                               (6371 * acos(least(1, greatest(-1,
-                                cos(radians(%s)) * cos(radians(latitude)) *
-                                cos(radians(longitude) - radians(%s)) +
-                                sin(radians(%s)) * sin(radians(latitude))
-                               )))) AS distance
-                        FROM bounded_cities
-                    )
-                    SELECT name, country_code, population, distance
-                    FROM distance_calc
-                    WHERE distance <= 100
-                    ORDER BY distance
-                    LIMIT 10
-                """, [lat_min, lat_max, lon_min, lon_max, lat, lon, lat])
-
-                debug_results = cursor.fetchall()
-                if debug_results:
-                    logger.info(f"🔍 Top 10 nearby cities for coordinates ({lat}, {lon}):")
-                    for name, cc, pop, dist in debug_results:
-                        logger.info(f"  📍 {name} ({cc}): population={pop:,}, distance={dist:.2f}km")
-        except Exception as debug_error:
-            logger.warning(f"⚠️ Debug query failed for ({lat}, {lon}): {str(debug_error)}")
-            # Continue without debug info - this is not critical
-
-        # Main query - use separate cursor to avoid transaction issues
         with connection.cursor() as cursor:
+            # First, let's get debug information about nearby cities
+            cursor.execute("""
+                WITH bounded_cities AS (
+                    SELECT name, country_code, latitude, longitude, population
+                    FROM geonames_city
+                    WHERE feature_class = 'P'
+                      AND latitude BETWEEN %s AND %s
+                      AND longitude BETWEEN %s AND %s
+                ),
+                distance_calc AS (
+                    SELECT name, country_code, population,
+                           (6371 * acos(least(1, greatest(-1,
+                            cos(radians(%s)) * cos(radians(latitude)) *
+                            cos(radians(longitude) - radians(%s)) +
+                            sin(radians(%s)) * sin(radians(latitude))
+                           )))) AS distance
+                    FROM bounded_cities
+                )
+                SELECT name, country_code, population, distance
+                FROM distance_calc
+                WHERE distance <= 100
+                ORDER BY distance
+                LIMIT 10
+            """, [lat_min, lat_max, lon_min, lon_max, lat, lon, lat])
+
+            debug_results = cursor.fetchall()
+            if debug_results:
+                logger.info(f"🔍 Top 10 nearby cities for coordinates ({lat}, {lon}):")
+                for name, cc, pop, dist in debug_results:
+                    logger.info(f"  📍 {name} ({cc}): population={pop:,}, distance={dist:.2f}km")
+
+            # Now get the best city using a weighted approach
+            # Prefer cities with larger population within reasonable distance
             cursor.execute("""
                 WITH bounded_cities AS (
                     SELECT name, country_code, latitude, longitude, population
@@ -167,8 +162,7 @@ def get_location_by_coordinates_optimized(lat, lon):
                 cache.set(cache_key, None, 3600)
                 return None
 
-    except Exception as e:
-        logger.warning(f"⚠️ Optimized method failed for ({lat}, {lon}): {str(e)} - trying fallback")
+    except Exception:
         # Fallback to original method on any error
         return get_location_by_coordinates_original(lat, lon)