first fixes

backend/src/parameters/landmark_parameters.yaml

@@ -1,11 +1,12 @@
 city_bbox_side: 7500 #m
 radius_close_to: 50
-church_coeff: 0.5
+church_coeff: 0.75
 nature_coeff: 1.25
 overall_coeff: 10
 tag_exponent: 1.15
 image_bonus: 10
 viewpoint_bonus: 15
-wikipedia_bonus: 6
+wikipedia_bonus: 4
+name_bonus: 3
 N_important: 40
 pay_bonus: -1

backend/src/parameters/optimizer_parameters.yaml

@@ -3,4 +3,4 @@ detour_corridor_width: 300
 average_walking_speed: 4.8
 max_landmarks: 10
 max_landmarks_refiner: 30
-overshoot: 1.8
+overshoot: 1.2

backend/src/structs/linked_landmarks.py

@@ -35,6 +35,7 @@ class LinkedLandmarks:
             time_to_next = get_time(landmark.location, self._landmarks[i + 1].location)
             landmark.time_to_reach_next = time_to_next
             self.total_time += time_to_next
+            self.total_time += landmark.duration
 
         self._landmarks[-1].next_uuid = None
         self._landmarks[-1].time_to_reach_next = 0

backend/src/tester.py

@@ -22,8 +22,8 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
     preferences = Preferences(
         sightseeing=Preference(type='sightseeing', score = 5),
         nature=Preference(type='nature', score = 5),
-        shopping=Preference(type='shopping', score = 5),
+        shopping=Preference(type='shopping', score = 0),
-        max_time_minute=15,
+        max_time_minute=30,
         detour_tolerance_minute=0
     )
 
@@ -74,7 +74,7 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
 # test(tuple((48.8344400, 2.3220540)))       # Café Chez César 
 # test(tuple((48.8375946, 2.2949904)))       # Point random
 # test(tuple((47.377859, 8.540585)))         # Zurich HB
-# test(tuple((45.758217, 4.831814)))         # Lyon Bellecour
+test(tuple((45.758217, 4.831814)))         # Lyon Bellecour
 # test(tuple((48.5848435, 7.7332974)))       # Strasbourg Gare
 # test(tuple((48.2067858, 16.3692340)))      # Vienne
-test(tuple((48.084588, 7.280405)))         # Turckheim 
+# test(tuple((48.2432090, 7.3892691)))         # Orschwiller 

backend/src/utils/landmarks_manager.py

@@ -39,6 +39,7 @@ class LandmarkManager:
             self.overall_coeff = parameters['overall_coeff']
             self.tag_exponent = parameters['tag_exponent']
             self.image_bonus = parameters['image_bonus']
+            self.name_bonus = parameters['name_bonus']
             self.wikipedia_bonus = parameters['wikipedia_bonus']
             self.viewpoint_bonus = parameters['viewpoint_bonus']
             self.pay_bonus = parameters['pay_bonus']
@@ -202,18 +203,29 @@ class LandmarkManager:
         """
         return_list = []
 
+        if landmarktype == 'nature' : query_conditions = []
+        else : query_conditions = ['count_tags()>5']
+
         # caution, when applying a list of selectors, overpass will search for elements that match ALL selectors simultaneously
         # we need to split the selectors into separate queries and merge the results
         for sel in dict_to_selector_list(amenity_selector):
             self.logger.debug(f"Current selector: {sel}")
+
+            query_conditions = ['count_tags()>5']
+            element_types = ['way', 'relation']
+
+            if 'viewpoint' in sel :
+                query_conditions = []
+                element_types.append('node')
+
             query = overpassQueryBuilder(
                 bbox = bbox,
-                elementType = ['way', 'relation'],
+                elementType = element_types,
                 # selector can in principle be a list already,
                 # but it generates the intersection of the queries
                 # we want the union
                 selector = sel,
-                conditions = ['count_tags()>5'],
+                conditions = query_conditions,        # except for nature....
                 includeCenter = True,
                 out = 'body'
                 )
@@ -229,18 +241,23 @@ class LandmarkManager:
 
                 name = elem.tag('name')
                 location = (elem.centerLat(), elem.centerLon())
+                osm_type = elem.type()              # Add type: 'way' or 'relation'
+                osm_id = elem.id()                  # Add OSM id 
 
                 # TODO: exclude these from the get go
-                # skip if unprecise location
+                # handle unprecise and no-name locations
                 if name is None or location[0] is None:
-                    continue
+                    if osm_type == 'node' and 'viewpoint' in elem.tags().values(): 
+                        name = 'Viewpoint'
+                        name_en = 'Viewpoint'
+                        location = (elem.lat(), elem.lon())
+                    else : 
+                        continue
 
                 # skip if part of another building
                 if 'building:part' in elem.tags().keys() and elem.tag('building:part') == 'yes':
                     continue
             
-                osm_type = elem.type()              # Add type: 'way' or 'relation'
-                osm_id = elem.id()                  # Add OSM id 
                 elem_type = landmarktype            # Add the landmark type as 'sightseeing, 
                 n_tags = len(elem.tags().keys())    # Add number of tags
                 score = n_tags**self.tag_exponent   # Add score
@@ -248,60 +265,67 @@ class LandmarkManager:
                 image_url = None
                 name_en = None
 
-                # Adjust scoring
+                # Adjust scoring, browse through tag keys
                 skip = False
-                for tag in elem.tags().keys():
+                for tag_key in elem.tags().keys():
-                    if "pay" in tag:
+                    if "pay" in tag_key:
                         # payment options are misleading and should not count for the scoring.
                         score += self.pay_bonus
 
-                    if "disused" in tag:
+                    if "disused" in tag_key:
                         # skip disused amenities
                         skip = True
                         break
 
-                    if "wiki" in tag:
+                    if "name" in tag_key :
+                        score += self.name_bonus
+
+                    if "wiki" in tag_key:
                         # wikipedia entries count more
                         score += self.wikipedia_bonus
 
-                    if "viewpoint" in tag:
+                    if "image" in tag_key:
-                        # viewpoints must count more
-                        score += self.viewpoint_bonus
-                        duration = 10
-
-                    if "image" in tag:
                         # images must count more
                         score += self.image_bonus
 
                     if elem_type != "nature":
-                        if "leisure" in tag and elem.tag('leisure') == "park":
+                        if "leisure" in tag_key and elem.tag('leisure') == "park":
                             elem_type = "nature"
 
                     if landmarktype != "shopping":
-                        if "shop" in tag:
+                        if "shop" in tag_key:
                             skip = True
                             break
 
-                        if tag == "building" and elem.tag('building') in ['retail', 'supermarket', 'parking']:
+                        if tag_key == "building" and elem.tag('building') in ['retail', 'supermarket', 'parking']:
                             skip = True
                             break
 
                     # Extract image, website and english name
-                    if tag in ['website', 'contact:website']:
+                    if tag_key in ['website', 'contact:website']:
-                        website_url = elem.tag(tag)
+                        website_url = elem.tag(tag_key)
-                    if tag == 'image':
+                    if tag_key == 'image':
                         image_url = elem.tag('image')
-                    if tag =='name:en':
+                    if tag_key =='name:en':
                         name_en = elem.tag('name:en')
 
                 if skip:
                     continue
 
+                # Don't visit random apartments
+                if 'apartments' in elem.tags().values():
+                    continue
+
                 score = score_function(score)
                 if "place_of_worship" in elem.tags().values():
                     score = score * self.church_coeff
                     duration = 10
 
+                if 'viewpoint' in elem.tags().values() :
+                    # viewpoints must count more
+                    score += self.viewpoint_bonus
+                    duration = 10
+                
                 elif "museum" in elem.tags().values() or "aquarium" in elem.tags().values() or "planetarium" in elem.tags().values():
                     duration = 60