backend/Pipfile

@@ -9,9 +9,9 @@ name = "pypi"
 numpy = "*"
 fastapi = "*"
 pydantic = "*"
-geopy = "*"
 shapely = "*"
 scipy = "*"
 osmpythontools = "*"
 pywikibot = "*"
 pymemcache = "*"
+fastapi-cli = "*"

backend/src/constants.py

@@ -16,7 +16,7 @@ OSM_CACHE_DIR = Path(cache_dir_string)
 
 import logging
 # if we are in a debug session, set verbose and rich logging
-if os.getenv('DEBUG', False):
+if os.getenv('DEBUG', "false") == "true":
     from rich.logging import RichHandler
     logging.basicConfig(
         level=logging.DEBUG,

backend/src/parameters/amenity_selectors.yaml

@@ -1,3 +1,6 @@
+# Tags were picked mostly arbitrarily, based on the OSM wiki and the OSM tags page.
+# See https://taginfo.openstreetmap.org for more inspiration.
+
 nature:
   leisure: park
   geological: ''
@@ -11,7 +14,24 @@ nature:
     - alpine_hut
     - viewpoint
     - zoo
-  waterway: waterfall
+    - resort
+    - picnic_site
+  water:
+    - pond
+    - lake
+    - river
+    - basin
+    - stream
+    - lagoon
+    - rapids
+  waterway:
+    - waterfall
+    - river
+    - canal
+    - dam
+    - dock
+    - boatyard
+
 
 shopping:
   shop:
@@ -23,10 +43,48 @@ sightseeing:
     - museum
     - attraction
     - gallery
+    - artwork
+    - aquarium
+
   historic: ''
   amenity:
     - planetarium
     - place_of_worship
     - fountain
+    - townhall
   water:
     - reflecting_pool
+  bridge:
+    - aqueduct
+    - viaduct
+    - boardwalk
+    - cantilever
+    - abandoned
+  building:
+    - church
+    - chapel
+    - mosque
+    - synagogue
+    - ruins
+    - temple
+    - government
+    - cathedral
+    - castle
+    - museum
+
+
+
+
+# to be used later on
+restauration:
+  shop:
+    - coffee
+    - bakery
+    - restaurant
+    - pastry
+  amenity:
+    - restaurant
+    - cafe
+    - ice_cream
+    - food_court
+    - biergarten

backend/src/persistence.py

@@ -21,8 +21,8 @@ if constants.MEMCACHED_HOST_PATH is None:
 else:
     client = Client(
         constants.MEMCACHED_HOST_PATH,
-        timeout=1,
-        allow_unicode_keys=True,
-        encoding='utf-8',
-        serde=serde.pickle_serde
+        timeout = 1,
+        allow_unicode_keys = True,
+        encoding = 'utf-8',
+        serde = serde.pickle_serde
     )

backend/src/structs/trip.py

@@ -22,7 +22,8 @@ class Trip(BaseModel):
 
         # Store the trip in the cache
         cache_client.set(f"trip_{trip.uuid}", trip)
-        cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600)
+        # make sure to await the result (noreply=False). Otherwise the cache might not be inplace when the trip is actually requested
+        cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600, noreply=False)
         # is equivalent to:
         # for landmark in landmarks:
         #     cache_client.set(f"landmark_{landmark.uuid}", landmark, expire=3600)

backend/src/utils/get_time_separation.py

@@ -1,5 +1,5 @@
 import yaml
-from geopy.distance import geodesic
+from math import sin, cos, sqrt, atan2, radians
 
 import constants
 
@@ -8,6 +8,7 @@ with constants.OPTIMIZER_PARAMETERS_PATH.open('r') as f:
     DETOUR_FACTOR = parameters['detour_factor']
     AVERAGE_WALKING_SPEED = parameters['average_walking_speed']
 
+EARTH_RADIUS_KM = 6373
 
 def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int:
     """
@@ -22,16 +23,28 @@ def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int:
     """
 
 
-    # Compute the straight-line distance in km
-    if p1 == p2 :
+    if p1 == p2:
         return 0
     else:
-        dist = geodesic(p1, p2).kilometers
+        # Compute the distance in km along the surface of the Earth
+        # (assume spherical Earth)
+        # this is the haversine formula, stolen from stackoverflow
+        # in order to not use any external libraries
+        lat1, lon1 = radians(p1[0]), radians(p1[1])
+        lat2, lon2 = radians(p2[0]), radians(p2[1])
 
-    # Consider the detour factor for average cityto deterline walking distance (in km)
-    walk_dist = dist*DETOUR_FACTOR
+        dlon = lon2 - lon1
+        dlat = lat2 - lat1
+
+        a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2
+        c = 2 * atan2(sqrt(a), sqrt(1 - a))
+
+        distance = EARTH_RADIUS_KM * c
+
+    # Consider the detour factor for average an average city
+    walk_distance = distance * DETOUR_FACTOR
 
     # Time to walk this distance (in minutes)
-    walk_time = walk_dist/AVERAGE_WALKING_SPEED*60
+    walk_time = walk_distance / AVERAGE_WALKING_SPEED * 60
 
     return round(walk_time)

backend/src/utils/landmarks_manager.py

@@ -10,7 +10,8 @@ from structs.landmark import Landmark
 from .take_most_important import take_most_important
 import constants
 
-
+# silence the overpass logger
+logging.getLogger('OSMPythonTools').setLevel(level=logging.CRITICAL)
 
 
 class LandmarkManager:
@@ -206,11 +207,15 @@ class LandmarkManager:
             query = overpassQueryBuilder(
                 bbox = bbox,
                 elementType = ['way', 'relation'],
+                # selector can in principle be a list already,
+                # but it generates the intersection of the queries
+                # we want the union
                 selector = sel,
-                # conditions = [],
+                conditions = ['count_tags()>5'],
                 includeCenter = True,
                 out = 'body'
                 )
+            self.logger.debug(f"Query: {query}")
 
             try:
                 result = self.overpass.query(query)
@@ -336,7 +341,7 @@ def dict_to_selector_list(d: dict) -> list:
     for key, value in d.items():
         if type(value) == list:
             val = '|'.join(value)
-            return_list.append(f'{key}~"{val}"')
+            return_list.append(f'{key}~"^({val})$"')
         elif type(value) == str and len(value) == 0:
             return_list.append(f'{key}')
         else:

backend/src/utils/optimizer.py

@@ -3,7 +3,6 @@ import numpy as np
 
 from scipy.optimize import linprog
 from collections import defaultdict, deque
-from geopy.distance import geodesic
 
 from structs.landmark import Landmark
 from .get_time_separation import get_time

frontend/.github/workflows/build_app_android.yaml

@@ -42,7 +42,7 @@ jobs:
       - name: Load secrets from github
         run: |
           echo "${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}" | base64 -d > secrets.properties
-          echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > fastlane/google-key.json
+          echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > google-key.json
           echo "${{ secrets.ANDROID_KEYSTORE_BASE64 }}" | base64 -d > release.keystore
         working-directory: android