cluster recognition added to backend pipeline

backend/src/utils/landmarks_manager.py

@@ -5,6 +5,7 @@ from OSMPythonTools.cachingStrategy import CachingStrategy, JSON
 from ..structs.preferences import Preferences
 from ..structs.landmark import Landmark
 from .take_most_important import take_most_important
+from .cluster_processing import ShoppingManager
 
 from ..constants import AMENITY_SELECTORS_PATH, LANDMARK_PARAMETERS_PATH, OPTIMIZER_PARAMETERS_PATH, OSM_CACHE_DIR
 
@@ -94,10 +95,19 @@ class LandmarkManager:
         if preferences.shopping.score != 0:
             score_function = lambda score: score * 10 * preferences.shopping.score / 5
             current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['shopping'], preferences.shopping.type, score_function)
+            
             # set time for all shopping activites :
             for landmark in current_landmarks : landmark.duration = 30
             all_landmarks.update(current_landmarks)
 
+            # special pipeline for shopping malls
+            shopping_manager = ShoppingManager(bbox)
+            if shopping_manager.valid :
+                shopping_clusters = shopping_manager.generate_shopping_landmarks()
+                for landmark in shopping_clusters : landmark.duration = 45
+                all_landmarks.update(shopping_clusters)
+            
+
 
         landmarks_constrained = take_most_important(all_landmarks, self.N_important)
         self.logger.info(f'Generated {len(all_landmarks)} landmarks around {center_coordinates}, and constrained to {len(landmarks_constrained)} most important ones.')
@@ -353,7 +363,6 @@ class LandmarkManager:
         return return_list
 
 
-
 def dict_to_selector_list(d: dict) -> list:
     """
     Convert a dictionary of key-value pairs to a list of Overpass query strings.