fix/backend/veiwpoint-nodes-and-churches #38
| @@ -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 | ||||
|   | ||||
| @@ -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 | ||||
|   | ||||
| @@ -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 | ||||
|   | ||||
| @@ -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), | ||||
|         max_time_minute=15, | ||||
|         shopping=Preference(type='shopping', score = 0), | ||||
|         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  | ||||
|   | ||||
| @@ -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: | ||||
|                     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(): | ||||
|                     if "pay" in tag: | ||||
|                 for tag_key in elem.tags().keys(): | ||||
|                     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: | ||||
|                         # viewpoints must count more | ||||
|                         score += self.viewpoint_bonus | ||||
|                         duration = 10 | ||||
|  | ||||
|                     if "image" in tag: | ||||
|                     if "image" in tag_key: | ||||
|                         # 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']: | ||||
|                         website_url = elem.tag(tag) | ||||
|                     if tag == 'image': | ||||
|                     if tag_key in ['website', 'contact:website']: | ||||
|                         website_url = elem.tag(tag_key) | ||||
|                     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 | ||||
|                  | ||||
|   | ||||
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