remove gradle again

.gitea/workflows/backend_run_lint.yaml

@@ -1,34 +0,0 @@
-on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - backend/**
-
-name: Run linting on the backend code
-
-jobs:
-  build:
-    name: Build
-    runs-on: ubuntu-latest
-    steps:
-
-    - uses: https://gitea.com/actions/checkout@v4
-
-    - name: Install dependencies
-      run: |
-        apt-get update && apt-get install -y python3 python3-pip
-        pip install pipenv        
-
-    - name: Install packages
-      run: |
-        ls -la
-        # only install dev-packages
-        pipenv install --categories=dev-packages
-        pipenv run pip freeze        
-
-      working-directory: backend
-
-    - name: Run linter
-      run: pipenv run pylint src
-      working-directory: backend

.gitea/workflows/backend_run_test.yaml

@@ -1,33 +0,0 @@
-on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - backend/**
-
-name: Run testing on the backend code
-
-jobs:
-  build:
-    name: Build
-    runs-on: ubuntu-latest
-    steps:
-
-    - uses: https://gitea.com/actions/checkout@v4
-
-    - name: Install dependencies
-      run: |
-        apt-get update && apt-get install -y python3 python3-pip
-        pip install pipenv        
-
-    - name: Install packages
-      run: |
-        ls -la
-        # install all packages, including dev-packages
-        pipenv install --dev
-        pipenv run pip freeze        
-      working-directory: backend
-
-    - name: Run Tests
-      run: pipenv run pytest src
-      working-directory: backend

.gitea/workflows/frontend_build-android.yaml

@@ -6,7 +6,7 @@ on:
       - frontend/**
 
 
-name: Build and release debug APK
+name: Build and release APK
 
 jobs:
   build:
@@ -55,7 +55,7 @@ jobs:
         ls -lah android
       working-directory: ./frontend
 
-    - run: flutter build apk --debug --split-per-abi --build-number=${{ gitea.run_number }}
+    - run: flutter build apk --release --split-per-abi --build-number=${{ gitea.run_number }}
       working-directory: ./frontend
 
     - name: Upload APKs to artifacts

.gitea/workflows/workflow_deploy-container.yaml

@@ -32,4 +32,4 @@ jobs:
     - name: Deploy to k8s
       run: |
         kubectl apply -k backend/deployment/overlays/${{ inputs.overlay }} --kubeconfig=kubeconfig
-        kubectl -n anyway-backend rollout restart deployment/anyway-backend-${{ inputs.overlay }} --kubeconfig=kubeconfig
+        kubectl -n anyway-backend rollout restart deployment/anyway-backend-${{ inputs.overlay }}

.vscode/launch.json

@@ -14,9 +14,9 @@
                 "DEBUG": "true"
             },
             "args": [
-                // "--app-dir",
+                "--app-dir",
-                // "src",
+                "src",
-                "src.main:app",
+                "main:app",
                 "--reload",
             ],
             "jinja": true,

.vscode/settings.json

@@ -1,3 +0,0 @@
-{
-    "cmake.ignoreCMakeListsMissing": true
-}

backend/.pylintrc

@@ -1,2 +0,0 @@
-[MAIN]
-max-line-length=240

backend/Pipfile

@@ -4,19 +4,14 @@ verify_ssl = true
 name = "pypi"
 
 [dev-packages]
-pylint = "*"
-pytest = "*"
-tomli = "*"
-httpx = "*"
-exceptiongroup = "*"
 
 [packages]
 numpy = "*"
 fastapi = "*"
 pydantic = "*"
+geopy = "*"
 shapely = "*"
 scipy = "*"
 osmpythontools = "*"
 pywikibot = "*"
 pymemcache = "*"
-fastapi-cli = "*"

backend/README.md

@@ -1,37 +1,12 @@
 # Backend
 
-This repository contains the backend code for the application. It utilizes **FastAPI** to quickly create a RESTful API that exposes the endpoints of the route optimizer.
+This repository contains the backend code for the application. It utilizes FastAPI that allows to quickly create a RESTful API that exposes the endpoints of the route optimizer.
+
 
 ## Getting Started
-
+- The code of the python application is located in the `src` directory.
-### Directory Structure
+- Package management is handled with `pipenv` and the dependencies are listed in the `Pipfile`.
-- The code for the Python application is located in the `src` directory.
+- Since the application is aimed to be deployed in a container, the `Dockerfile` is provided to build the image.
-- Package management is handled with **pipenv**, and the dependencies are listed in the `Pipfile`.
-- Since the application is designed to be deployed in a container, the `Dockerfile` is provided to build the image.
-
-### Setting Up the Development Environment
-
-To set up your development environment using **pipenv**, follow these steps:
-
-1. Install `pipenv` by running:
-    ```bash
-    sudo apt install pipenv
-    ```
-
-2. Create and activate a virtual environment:
-    ```bash
-    pipenv shell
-    ```
-
-3. Install the dependencies listed in the `Pipfile`:
-    ```bash
-    pipenv install
-    ```
-
-4. The virtual environment will be created under:
-    ```bash
-    ~/.local/share/virtualenvs/...
-    ```
 
 ### Deployment
 To deploy the backend docker container, we use kubernetes. Modifications to the backend are automatically pushed to a two-stage environment through the CI pipeline. See [deployment/README](deployment/README.md] for further information.

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") == "true":
+if os.getenv('DEBUG', False):
     from rich.logging import RichHandler
     logging.basicConfig(
         level=logging.DEBUG,

backend/src/main.py

@@ -1,14 +1,14 @@
 import logging
 from fastapi import FastAPI, Query, Body, HTTPException
 
-from .structs.landmark import Landmark
+from structs.landmark import Landmark
-from .structs.preferences import Preferences
+from structs.preferences import Preferences
-from .structs.linked_landmarks import LinkedLandmarks
+from structs.linked_landmarks import LinkedLandmarks
-from .structs.trip import Trip
+from structs.trip import Trip
-from .utils.landmarks_manager import LandmarkManager
+from utils.landmarks_manager import LandmarkManager
-from .utils.optimizer import Optimizer
+from utils.optimizer import Optimizer
-from .utils.refiner import Refiner
+from utils.refiner import Refiner
-from .persistence import client as cache_client
+from persistence import client as cache_client
 
 
 logger = logging.getLogger(__name__)
@@ -63,7 +63,7 @@ def new_trip(preferences: Preferences, start: tuple[float, float], end: tuple[fl
     refined_tour = refiner.refine_optimization(landmarks, base_tour, preferences.max_time_minute, preferences.detour_tolerance_minute)
 
     linked_tour = LinkedLandmarks(refined_tour)
-    # upon creation of the trip, persistence of both the trip and its landmarks is ensured
+    # upon creation of the trip, persistence of both the trip and its landmarks is ensured. Ca
     trip = Trip.from_linked_landmarks(linked_tour, cache_client)
     return trip
 

backend/src/parameters/amenity_selectors.yaml

@@ -1,6 +1,3 @@
-# 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: ''
@@ -14,24 +11,7 @@ nature:
     - alpine_hut
     - viewpoint
     - zoo
-    - resort
+  waterway: waterfall
-    - picnic_site
-  water:
-    - pond
-    - lake
-    - river
-    - basin
-    - stream
-    - lagoon
-    - rapids
-  waterway:
-    - waterfall
-    - river
-    - canal
-    - dam
-    - dock
-    - boatyard
-
 
 shopping:
   shop:
@@ -43,47 +23,10 @@ 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/parameters/landmark_parameters.yaml

@@ -1,12 +1,11 @@
 city_bbox_side: 7500 #m
 radius_close_to: 50
-church_coeff: 0.9
+church_coeff: 0.75
 nature_coeff: 1.25
 overall_coeff: 10
 tag_exponent: 1.15
 image_bonus: 10
 viewpoint_bonus: 15
-wikipedia_bonus: 4
+wikipedia_bonus: 6
-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: 1.15
+overshoot: 1.8

backend/src/persistence.py

@@ -1,6 +1,7 @@
 from pymemcache.client.base import Client
+from pymemcache import serde
 
-from .constants import MEMCACHED_HOST_PATH
+import constants
 
 
 class DummyClient:
@@ -15,12 +16,13 @@ class DummyClient:
         return self._data[key]
 
 
-if MEMCACHED_HOST_PATH is None:
+if constants.MEMCACHED_HOST_PATH is None:
     client = DummyClient()
 else:
     client = Client(
-        MEMCACHED_HOST_PATH,
+        constants.MEMCACHED_HOST_PATH,
         timeout=1,
         allow_unicode_keys=True,
-        encoding='utf-8'
+        encoding='utf-8',
+        serde=serde.pickle_serde
     )

backend/src/structs/landmark.py

@@ -14,22 +14,26 @@ class Landmark(BaseModel) :
     osm_id : int
     attractiveness : int
     n_tags : int
-    image_url : Optional[str] = None
+    image_url : Optional[str] = None                            # TODO future
     website_url : Optional[str] = None
+    wikipedia_url : Optional[str] = None
     description : Optional[str] = None                          # TODO future
-    duration : Optional[int] = 0
+    duration : Optional[int] = 0                                # TODO future
     name_en : Optional[str] = None
 
     # Unique ID of a given landmark
-    uuid: str = Field(default_factory=uuid4)
+    uuid: str = Field(default_factory=uuid4)                    # TODO implement this ASAP
     
     # Additional properties depending on specific tour
     must_do : Optional[bool] = False
     must_avoid : Optional[bool] = False
     is_secondary : Optional[bool] = False                       # TODO future   
     
-    time_to_reach_next : Optional[int] = 0
+    time_to_reach_next : Optional[int] = 0                      # TODO fix this in existing code
-    next_uuid : Optional[str] = None
+    next_uuid : Optional[str] = None                            # TODO implement this ASAP
+
+    def __hash__(self) -> int:
+        return self.uuid.int
     
     def __str__(self) -> str:
         time_to_next_str = f", time_to_next={self.time_to_reach_next}" if self.time_to_reach_next else ""
@@ -38,15 +42,3 @@ class Landmark(BaseModel) :
         if self.type in ["start", "finish", "nature", "shopping"] : type_str += '\t '
         return f'Landmark{type_str}: [{self.name} @{self.location}, score={self.attractiveness}{time_to_next_str}{is_secondary_str}]'
     
-    def distance(self, value: 'Landmark') -> float:
-        return (self.location[0] - value.location[0])**2 + (self.location[1] - value.location[1])**2
-
-    def __hash__(self) -> int:
-        return hash(self.name)
-
-    def __eq__(self, value: 'Landmark') -> bool:
-        # eq and hash must be consistent
-        # in particular, if two objects are equal, their hash must be equal
-        # uuid and osm_id are just shortcuts to avoid comparing all the properties
-        # if they are equal, we know that the name is also equal and in turn the hash is equal
-        return self.uuid == value.uuid or self.osm_id == value.osm_id or (self.name == value.name and self.distance(value) < 0.001)

backend/src/structs/linked_landmarks.py

@@ -1,5 +1,5 @@
 from .landmark import Landmark
-from ..utils.get_time_separation import get_time
+from utils.get_time_separation import get_time
 
 class LinkedLandmarks:
     """
@@ -35,7 +35,6 @@ 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/structs/trip.py

@@ -22,8 +22,7 @@ class Trip(BaseModel):
 
         # Store the trip in the cache
         cache_client.set(f"trip_{trip.uuid}", trip)
-        # 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)
-        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/tester.py

@@ -1,12 +1,12 @@
 import logging
 import yaml
 
-from .utils.landmarks_manager import LandmarkManager
+from utils.landmarks_manager import LandmarkManager
-from .utils.optimizer import Optimizer
+from utils.optimizer import Optimizer
-from .utils.refiner import Refiner
+from utils.refiner import Refiner
-from .structs.landmark import Landmark
+from structs.landmark import Landmark
-from .structs.linked_landmarks import LinkedLandmarks
+from structs.linked_landmarks import LinkedLandmarks
-from .structs.preferences import Preferences, Preference
+from structs.preferences import Preferences, Preference
 
 
 logger = logging.getLogger(__name__)
@@ -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 = 0),
+        shopping=Preference(type='shopping', score = 5),
-        max_time_minute=30,
+        max_time_minute=100,
         detour_tolerance_minute=0
     )
 
@@ -74,7 +74,6 @@ 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((48.5848435, 7.7332974)))      # Strasbourg Gare
 # test(tuple((48.2067858, 16.3692340)))      # Vienne
-# test(tuple((48.2432090, 7.3892691)))         # Orschwiller 

backend/src/tests/test_main.py

@@ -1,141 +0,0 @@
-from fastapi.testclient import TestClient
-from typing import List
-import pytest
-from ..main import app
-from ..structs.landmark import Landmark
-
-
-@pytest.fixture()
-def client():
-    return TestClient(app)
-
-
-# Base test for checking if the API returns correct error code when no preferences are specified.
-def test_new_trip_invalid_prefs(client):
-    response = client.post(
-        "/trip/new",
-        json={
-            "preferences": {},
-            "start": [48.8566, 2.3522]
-            }
-        )
-    assert response.status_code == 422
-
-    
-# Test no. 1
-def test_turckheim(client):
-    duration_minutes = 15
-    response = client.post(
-        "/trip/new",
-        json={
-            "preferences": {"sightseeing": {"type": "sightseeing", "score": 5}, "nature": {"type": "nature", "score": 5}, "shopping": {"type": "shopping", "score": 5}, "max_time_minute": duration_minutes, "detour_tolerance_minute": 0},
-            "start": [48.084588, 7.280405]
-            }
-        )
-    result = response.json()
-    landmarks = load_trip_landmarks(client, result['first_landmark_uuid'])
-
-    # checks :
-    assert response.status_code == 200  # check for successful planning
-    assert isinstance(landmarks, list)  # check that the return type is a list
-    assert duration_minutes*0.8 < int(result['total_time']) < duration_minutes*1.2
-    assert len(landmarks) > 2           # check that there is something to visit
-
-
-# Test no. 2
-def test_bellecour(client) :
-    duration_minutes = 35
-    response = client.post(
-        "/trip/new",
-        json={
-            "preferences": {"sightseeing": {"type": "sightseeing", "score": 5}, "nature": {"type": "nature", "score": 5}, "shopping": {"type": "shopping", "score": 5}, "max_time_minute": duration_minutes, "detour_tolerance_minute": 0},
-            "start": [45.7576485, 4.8330241]
-            }
-        )
-    result = response.json()
-    landmarks = load_trip_landmarks(client, result['first_landmark_uuid'])
-    osm_ids = landmarks_to_osmid(landmarks)
-
-    # checks :
-    assert response.status_code == 200  # check for successful planning
-    assert duration_minutes*0.8 < int(result['total_time']) < duration_minutes*1.2
-    assert 136200148 in osm_ids         # check for Cathédrale St. Jean in trip
-
-
-
-def landmarks_to_osmid(landmarks: List[Landmark]) -> list :
-    """
-    Convert the list of landmarks into a list containing their osm ids for quick landmark checking.
-    
-    Args :
-        landmarks (list): the list of landmarks
-    
-    Returns :
-        ids (list)      : the list of corresponding OSM ids
-    """
-    ids = []
-    for landmark in landmarks :
-        ids.append(landmark.osm_id)
-
-    return ids
-
-def fetch_landmark(client, landmark_uuid):
-    """
-    Fetch landmark data from the API based on the landmark UUID.
-
-    Args:
-        landmark_uuid (str): The UUID of the landmark.
-
-    Returns:
-        dict: Landmark data fetched from the API.
-    """
-    response = client.get(f"/landmark/{landmark_uuid}")
-
-    if response.status_code != 200:
-        raise Exception(f"Failed to fetch landmark with UUID {landmark_uuid}: {response.status_code}")
-    
-    json_data = response.json()
-    
-    if "detail" in json_data:
-        raise Exception(json_data["detail"])
-    
-    return json_data
-
-
-def load_trip_landmarks(client, first_uuid):
-    """
-    Load all landmarks for a trip using the response from the API.
-
-    Args:
-        first_uuid (str) : The first UUID of the landmark.
-
-    Returns:
-        landmarks (list) : An list containing all landmarks for the trip.
-    """
-    landmarks = []
-    next_uuid = first_uuid
-
-    while next_uuid is not None:
-        landmark_data = fetch_landmark(client, next_uuid)
-        landmarks.append(Landmark(**landmark_data)) # Create Landmark objects
-        next_uuid = landmark_data.get('next_uuid')  # Prepare for the next iteration
-
-    return landmarks
-
-
-
-
-# def test_new_trip_single_prefs(client):
-#     response = client.post(
-#         "/trip/new",
-#         json={
-#             "preferences": {"sightseeing": {"type": "sightseeing", "score": 1}, "nature": {"type": "nature", "score": 1}, "shopping": {"type": "shopping", "score": 1}, "max_time_minute": 360, "detour_tolerance_minute": 0},
-#             "start": [48.8566, 2.3522]
-#             }
-#         )
-#     assert response.status_code == 200
-
-
-# def test_new_trip_matches_prefs(client):
-#     # todo
-#     pass

backend/src/utils/get_time_separation.py

@@ -1,14 +1,13 @@
 import yaml
-from math import sin, cos, sqrt, atan2, radians
+from geopy.distance import geodesic
 
-from ..constants import OPTIMIZER_PARAMETERS_PATH
+import constants
 
-with OPTIMIZER_PARAMETERS_PATH.open('r') as f:
+with constants.OPTIMIZER_PARAMETERS_PATH.open('r') as f:
     parameters = yaml.safe_load(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:
     """
@@ -17,34 +16,24 @@ def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int:
     Args:
         p1 (Tuple[float, float]): Coordinates of the starting location.
         p2 (Tuple[float, float]): Coordinates of the destination.
+        detour (float): Detour factor affecting the distance.
+        speed (float): Walking speed in kilometers per hour.
 
     Returns:
         int: Time to travel from p1 to p2 in minutes.
     """
 
 
-    if p1 == p2:
+    # Compute the straight-line distance in km
+    if p1 == p2 :
         return 0
     else: 
-        # Compute the distance in km along the surface of the Earth
+        dist = geodesic(p1, p2).kilometers
-        # (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])
 
-        dlon = lon2 - lon1
+    # Consider the detour factor for average cityto deterline walking distance (in km)
-        dlat = lat2 - lat1
+    walk_dist = dist*DETOUR_FACTOR
-
-        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_distance / AVERAGE_WALKING_SPEED * 60
+    walk_time = walk_dist/AVERAGE_WALKING_SPEED*60
 
     return round(walk_time)

backend/src/utils/landmarks_manager.py

@@ -1,18 +1,20 @@
-import math
+import math as m
 import yaml
 import logging
 
 from OSMPythonTools.overpass import Overpass, overpassQueryBuilder
 from OSMPythonTools.cachingStrategy import CachingStrategy, JSON
+from pywikibot import ItemPage, Site
+from pywikibot import config
+config.put_throttle = 0
+config.maxlag = 0
 
-from ..structs.preferences import Preferences
+from structs.preferences import Preferences, Preference
-from ..structs.landmark import Landmark
+from structs.landmark import Landmark
 from .take_most_important import take_most_important
+import constants
 
-from ..constants import AMENITY_SELECTORS_PATH, LANDMARK_PARAMETERS_PATH, OPTIMIZER_PARAMETERS_PATH, OSM_CACHE_DIR
 
-# silence the overpass logger
-logging.getLogger('OSMPythonTools').setLevel(level=logging.CRITICAL)
 
 
 class LandmarkManager:
@@ -28,10 +30,10 @@ class LandmarkManager:
 
     def __init__(self) -> None:
 
-        with AMENITY_SELECTORS_PATH.open('r') as f:
+        with constants.AMENITY_SELECTORS_PATH.open('r') as f:
             self.amenity_selectors = yaml.safe_load(f)
 
-        with LANDMARK_PARAMETERS_PATH.open('r') as f:
+        with constants.LANDMARK_PARAMETERS_PATH.open('r') as f:
             parameters = yaml.safe_load(f)
             self.max_bbox_side = parameters['city_bbox_side']
             self.radius_close_to = parameters['radius_close_to']
@@ -40,19 +42,18 @@ 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']
             self.N_important = parameters['N_important']
             
-        with OPTIMIZER_PARAMETERS_PATH.open('r') as f:
+        with constants.OPTIMIZER_PARAMETERS_PATH.open('r') as f:
             parameters = yaml.safe_load(f)
             self.walking_speed = parameters['average_walking_speed']
             self.detour_factor = parameters['detour_factor']
 
         self.overpass = Overpass()
-        CachingStrategy.use(JSON, cacheDir=OSM_CACHE_DIR)
+        CachingStrategy.use(JSON, cacheDir=constants.OSM_CACHE_DIR)
 
 
     def generate_landmarks_list(self, center_coordinates: tuple[float, float], preferences: Preferences) -> tuple[list[Landmark], list[Landmark]]:
@@ -76,36 +77,79 @@ class LandmarkManager:
         max_walk_dist = (preferences.max_time_minute/2)/60*self.walking_speed*1000/self.detour_factor
         reachable_bbox_side = min(max_walk_dist, self.max_bbox_side)
 
-        # use set to avoid duplicates, this requires some __methods__ to be set in Landmark
+        L = []
-        all_landmarks = set()
-
         bbox = self.create_bbox(center_coordinates, reachable_bbox_side)
         # list for sightseeing
         if preferences.sightseeing.score != 0:
-            score_function = lambda score: score * 10 * preferences.sightseeing.score / 5
+            score_function = lambda score: int(score*10*preferences.sightseeing.score/5)   # self.count_elements_close_to(loc) +
-            current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['sightseeing'], preferences.sightseeing.type, score_function)
+            L1 = self.fetch_landmarks(bbox, self.amenity_selectors['sightseeing'], preferences.sightseeing.type, score_function)
-            all_landmarks.update(current_landmarks)
+            L += L1
 
         # list for nature
         if preferences.nature.score != 0:
-            score_function = lambda score: score * 10 * self.nature_coeff * preferences.nature.score / 5
+            score_function = lambda score: int(score*10*self.nature_coeff*preferences.nature.score/5)   # self.count_elements_close_to(loc) +
-            current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['nature'], preferences.nature.type, score_function)
+            L2 = self.fetch_landmarks(bbox, self.amenity_selectors['nature'], preferences.nature.type, score_function)
-            all_landmarks.update(current_landmarks)
+            L += L2
 
         # list for shopping
         if preferences.shopping.score != 0:
-            score_function = lambda score: score * 10 * preferences.shopping.score / 5
+            score_function = lambda score: int(score*10*preferences.shopping.score/5)   # self.count_elements_close_to(loc) +
-            current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['shopping'], preferences.shopping.type, score_function)
+            L3 = self.fetch_landmarks(bbox, self.amenity_selectors['shopping'], preferences.shopping.type, score_function)
-            # set time for all shopping activites :
+            L += L3
-            for landmark in current_landmarks : landmark.duration = 45
-            all_landmarks.update(current_landmarks)
 
 
-        landmarks_constrained = take_most_important(all_landmarks, self.N_important)
+        L = self.remove_duplicates(L)
-        self.logger.info(f'Generated {len(all_landmarks)} landmarks around {center_coordinates}, and constrained to {len(landmarks_constrained)} most important ones.')
+        # self.correct_score(L, preferences)
 
-        return all_landmarks, landmarks_constrained
+        L_constrained = take_most_important(L, self.N_important)
+        self.logger.info(f'Generated {len(L)} landmarks around {center_coordinates}, and constrained to {len(L_constrained)} most important ones.')
 
+        return L, L_constrained
+
+
+    def remove_duplicates(self, landmarks: list[Landmark]) -> list[Landmark]:
+        """
+        Removes duplicate landmarks based on their names from the given list. Only retains the landmark with highest score
+
+        Parameters:
+        landmarks (list[Landmark]): A list of Landmark objects.
+
+        Returns:
+        list[Landmark]: A list of unique Landmark objects based on their names.
+        """
+
+        L_clean = []
+        names = []
+
+        for landmark in landmarks:
+            if landmark.name in names: 
+                continue  
+            else:
+                names.append(landmark.name)
+                L_clean.append(landmark)
+        
+        return L_clean
+        
+
+    def correct_score(self, landmarks: list[Landmark], preferences: Preferences) -> None:
+        """
+        Adjust the attractiveness score of each landmark in the list based on user preferences.
+
+        This method updates the attractiveness of each landmark by scaling it according to the user's preference score.
+        The score adjustment is computed using a simple linear transformation based on the preference score.
+
+        Args:
+            landmarks (list[Landmark]): A list of landmarks whose scores need to be corrected.
+            preferences (Preferences): The user's preference settings that influence the attractiveness score adjustment.
+        """
+
+        score_dict = {
+            preferences.sightseeing.type: preferences.sightseeing.score,
+            preferences.nature.type: preferences.nature.score,
+            preferences.shopping.type: preferences.shopping.score
+        }
+        for landmark in landmarks:
+            landmark.attractiveness = int(landmark.attractiveness * score_dict[landmark.type] / 5)        
 
 
     def count_elements_close_to(self, coordinates: tuple[float, float]) -> int:
@@ -128,7 +172,7 @@ class LandmarkManager:
 
         radius = self.radius_close_to
 
-        alpha = (180 * radius) / (6371000 * math.pi)
+        alpha = (180*radius) / (6371000*m.pi)
         bbox = {'latLower':lat-alpha,'lonLower':lon-alpha,'latHigher':lat+alpha,'lonHigher': lon+alpha}
 
         # Build the query to find elements within the radius
@@ -172,7 +216,7 @@ class LandmarkManager:
 
         # Convert distance to degrees
         lat_diff = half_side_length_km / 111  # 1 degree latitude is approximately 111 km
-        lon_diff = half_side_length_km / (111 * math.cos(math.radians(lat)))  # Adjust for longitude based on latitude
+        lon_diff = half_side_length_km / (111 * m.cos(m.radians(lat)))  # Adjust for longitude based on latitude
 
         # Calculate bbox
         min_lat = lat - lat_diff
@@ -204,149 +248,134 @@ 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 = element_types,
+                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 = query_conditions,        # except for nature....
+                # conditions = [],
                 includeCenter = True,
                 out = 'body'
                 )
-            self.logger.debug(f"Query: {query}")
 
             try:
                 result = self.overpass.query(query)
             except Exception as e:
                 self.logger.error(f"Error fetching landmarks: {e}")
-                continue
+                return
             
             for elem in result.elements():
 
-                name = elem.tag('name')
+                name = elem.tag('name')                             # Add name
-                location = (elem.centerLat(), elem.centerLon())
+                location = (elem.centerLat(), elem.centerLon())     # Add coordinates (lat, lon)
-                osm_type = elem.type()              # Add type: 'way' or 'relation'
-                osm_id = elem.id()                  # Add OSM id 
 
                 # TODO: exclude these from the get go
-                # handle unprecise and no-name locations
+                # skip if unprecise location
                 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 unused
+                # if 'disused:leisure' in elem.tags().keys():
+                #     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
                 website_url = None
+                wikpedia_url = None
                 image_url = None
                 name_en = None
 
-                # Adjust scoring, browse through tag keys
+                # remove specific tags
                 skip = False
-                for tag_key in elem.tags().keys():
+                for tag in elem.tags().keys():
-                    if "pay" in tag_key:
+                    if "pay" in tag:
-                        # payment options are misleading and should not count for the scoring.
+                        score += self.pay_bonus             # discard payment options for tags
-                        score += self.pay_bonus
 
-                    if "disused" in tag_key:
+                    if "disused" in tag:
-                        # skip disused amenities
+                        skip = True             # skip disused amenities
-                        skip = True
                         break
 
-                    if "name" in tag_key :
+                    if "wiki" in tag:
-                        score += self.name_bonus
+                        score += self.wikipedia_bonus             # wikipedia entries count more
                         
-                    if "wiki" in tag_key:
+                    # if tag == "wikidata":
-                        # wikipedia entries count more
+                    #     Q = elem.tag('wikidata')
-                        score += self.wikipedia_bonus
+                    #     site = Site("wikidata", "wikidata")
+                    #     item = ItemPage(site, Q)
+                    #     item.get()
+                    #     n_languages = len(item.labels)
+                    #     n_tags += n_languages/10
 
-                    if "image" in tag_key:
+                    if "viewpoint" in tag:
-                        # images must count more
+                        score += self.viewpoint_bonus
+                        duration = 10
+
+                    if "image" in tag:
                         score += self.image_bonus
 
                     if elem_type != "nature":
-                        if "leisure" in tag_key and elem.tag('leisure') == "park":
+                        if "leisure" in tag and elem.tag('leisure') == "park":
                             elem_type = "nature"
 
                     if landmarktype != "shopping":
-                        if "shop" in tag_key:
+                        if "shop" in tag:
                             skip = True
                             break
 
-                        if tag_key == "building" and elem.tag('building') in ['retail', 'supermarket', 'parking']:
+                        if tag == "building" and elem.tag('building') in ['retail', 'supermarket', 'parking']:
                             skip = True
                             break
                     
-                    # Extract image, website and english name
+                    # Get additional information
-                    if tag_key in ['website', 'contact:website']:
+                    # if tag == 'wikipedia' :
-                        website_url = elem.tag(tag_key)
+                    #     wikpedia_url = elem.tag('wikipedia')
-                    if tag_key == 'image':
+                    if tag in ['website', 'contact:website'] :
+                        website_url = elem.tag(tag)
+                    if tag == 'image' :
                         image_url = elem.tag('image')
-                    if tag_key =='name:en':
+                    if tag =='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():
+                if "place_of_worship" in elem.tags().values() :
-                    score = score * self.church_coeff
+                    score = int(score*self.church_coeff)
-                    duration = 10
+                    duration = 15
                 
-                if 'viewpoint' in elem.tags().values() :
+                elif "museum" in elem.tags().values() :
-                    # viewpoints must count more
+                    score = int(score*self.church_coeff)
-                    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
                 
-                else:
+                else : 
                     duration = 5
 
-                # finally create our own landmark object
+                # Generate the landmark and append it to the list
                 landmark = Landmark(
-                    name = name,
+                    name=name,
-                    type = elem_type,
+                    type=elem_type,
-                    location = location,
+                    location=location,
-                    osm_type = osm_type,
+                    osm_type=osm_type,
-                    osm_id = osm_id,
+                    osm_id=osm_id,
-                    attractiveness = int(score),
+                    attractiveness=score,
-                    must_do = False,
+                    must_do=False,
-                    n_tags = int(n_tags),
+                    n_tags=int(n_tags),
-                    duration = int(duration),
+                    duration = duration, 
-                    name_en = name_en,
+                    name_en=name_en,
-                    image_url = image_url,
+                    image_url=image_url,
-                    website_url = website_url
+                    # wikipedia_url=wikpedia_url,
+                    website_url=website_url
                 )
                 return_list.append(landmark)
         
@@ -370,7 +399,7 @@ 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

@@ -3,10 +3,11 @@ 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 structs.landmark import Landmark
 from .get_time_separation import get_time
-from ..constants import OPTIMIZER_PARAMETERS_PATH
+import constants
 
     
 
@@ -26,7 +27,7 @@ class Optimizer:
     def __init__(self) :
 
         # load parameters from file
-        with OPTIMIZER_PARAMETERS_PATH.open('r') as f:
+        with constants.OPTIMIZER_PARAMETERS_PATH.open('r') as f:
             parameters = yaml.safe_load(f)
             self.detour_factor = parameters['detour_factor']
             self.average_walking_speed = parameters['average_walking_speed']
@@ -487,7 +488,7 @@ class Optimizer:
 
         # Raise error if no solution is found
         if not res.success :
-            raise ArithmeticError("No solution could be found, the problem is overconstrained. Try with a longer trip (>30 minutes).")
+            raise ArithmeticError("No solution could be found, the problem is overconstrained. Please adapt your must_dos")
 
         # If there is a solution, we're good to go, just check for connectiveness
         order, circles = self.is_connected(res.x)

backend/src/utils/refiner.py

@@ -2,12 +2,11 @@ import yaml, logging
 
 from shapely import buffer, LineString, Point, Polygon, MultiPoint, concave_hull
 from math import pi
-from typing import List
 
-from ..structs.landmark import Landmark
+from structs.landmark import Landmark
 from . import take_most_important, get_time_separation
 from .optimizer import Optimizer
-from ..constants import OPTIMIZER_PARAMETERS_PATH
+import constants
 
 
 
@@ -25,7 +24,7 @@ class Refiner :
         self.optimizer = optimizer
 
         # load parameters from file
-        with OPTIMIZER_PARAMETERS_PATH.open('r') as f:
+        with constants.OPTIMIZER_PARAMETERS_PATH.open('r') as f:
             parameters = yaml.safe_load(f)
             self.detour_factor = parameters['detour_factor']
             self.detour_corridor_width = parameters['detour_corridor_width']
@@ -135,21 +134,6 @@ class Refiner :
     
         return tour
 
-    def integrate_landmarks(self, sub_list: List[Landmark], main_list: List[Landmark]) :
-        """
-        Inserts 'sub_list' of Landmarks inside the 'main_list' by leaving the ends untouched.
-        
-        Args: 
-            sub_list    : the list of Landmarks to be inserted inside of the 'main_list'.
-            main_list   : the original list with start and finish.
-
-        Returns:
-            the full list.
-        """
-        sub_list.append(main_list[-1])          # add finish back
-        return main_list[:-1] + sub_list        # create full set of possible landmarks
-
-
 
     def find_shortest_path_through_all_landmarks(self, landmarks: list[Landmark]) -> tuple[list[Landmark], Polygon]:
         """
@@ -269,11 +253,6 @@ class Refiner :
         except :
             better_tour_poly = concave_hull(MultiPoint(coords))  # Create concave hull with "core" of tour leaving out start and finish
             xs, ys = better_tour_poly.exterior.xy
-            """ 
-            ERROR HERE : 
-                Exception has occurred: AttributeError
-                'LineString' object has no attribute 'exterior'
-            """
 
 
         # reverse the xs and ys
@@ -336,30 +315,26 @@ class Refiner :
 
         self.logger.info(f"Using {len(minor_landmarks)} minor landmarks around the predicted path")
 
-        # Full set of visitable landmarks.
+        # full set of visitable landmarks
-        full_set = self.integrate_landmarks(minor_landmarks, base_tour)     # could probably be optimized with less overhead
+        full_set = base_tour[:-1] + minor_landmarks   # create full set of possible landmarks (without finish)
+        full_set.append(base_tour[-1])                # add finish back
 
-        # Generate a new tour with the optimizer.
+        # get a new tour
         new_tour = self.optimizer.solve_optimization(
             max_time = max_time + detour,
             landmarks = full_set, 
             max_landmarks = self.max_landmarks_refiner
         )
 
-        # If unsuccessful optimization, use the base_tour.
         if new_tour is None:
             self.logger.warning("No solution found for the refined tour. Returning the initial tour.")
             new_tour = base_tour
 
-        # If only one landmark, return it.
-        if len(new_tour) < 4 :
-            return new_tour
 
-        # Find shortest path using the nearest neighbor heuristic.
+        # Find shortest path using the nearest neighbor heuristic
         better_tour, better_poly = self.find_shortest_path_through_all_landmarks(new_tour)
 
-        # Fix the tour using Polygons if the path looks weird. 
+        # Fix the tour using Polygons if the path looks weird
-        # Conditions : circular trip and invalid polygon.
         if base_tour[0].location == base_tour[-1].location and not better_poly.is_valid :
             better_tour = self.fix_using_polygon(better_tour)
 

backend/src/utils/take_most_important.py

@@ -1,16 +1,38 @@
-from ..structs.landmark import Landmark
+from structs.landmark import Landmark
 
-def take_most_important(landmarks: list[Landmark], n_important) -> list[Landmark]:
+def take_most_important(landmarks: list[Landmark], N_important) -> list[Landmark] :
-    """
+    L = len(landmarks)
-    Given a list of landmarks, return the n_important most important landmarks
+    L_copy = []
-    Parameters:
+    L_clean = []
-    landmarks: list[Landmark] - list of landmarks
+    scores = [0]*len(landmarks)
-    n_important: int - number of most important landmarks to return
+    names = []
-    Returns:
+    name_id = {}
-    list[Landmark] - list of the n_important most important landmarks
-    """
 
-    # Sort landmarks by attractiveness (descending)
+    for i, elem in enumerate(landmarks) :
-    sorted_landmarks = sorted(landmarks, key=lambda x: x.attractiveness, reverse=True)
+        if elem.name not in names :
+            names.append(elem.name)
+            name_id[elem.name] = [i]
+            L_copy.append(elem)
+        else :
+            name_id[elem.name] += [i]
+            scores = []
+            for j in name_id[elem.name] :
+                scores.append(L[j].attractiveness)
+            best_id = max(range(len(scores)), key=scores.__getitem__)
+            t = name_id[elem.name][best_id]
+            if t == i :
+                for old in L_copy :
+                    if old.name == elem.name :
+                        old.attractiveness = L[t].attractiveness
     
-    return sorted_landmarks[:n_important]
+    scores = [0]*len(L_copy)
+    for i, elem in enumerate(L_copy) :
+        scores[i] = elem.attractiveness
+
+    res = sorted(range(len(scores)), key = lambda sub: scores[sub])[-(N_important-L):]
+
+    for i, elem in enumerate(L_copy) :
+        if i in res :
+            L_clean.append(elem)
+
+    return L_clean

frontend/.github/workflows/build_app_android.yaml

@@ -37,13 +37,13 @@ jobs:
           REF_NAME: ${{ github.ref_name }}
         run:
           # remove the 'v' prefix from the tag name
-          echo "BUILD_NAME=${REF_NAME//v}" >> $GITHUB_ENV
+          echo "VERSION_NAME=${REF_NAME//v}" >> $GITHUB_ENV
 
       - name: Load secrets from github
         run: |
-          echo "${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}" | base64 -d > secrets.properties
+          echo "${{ secrets.ANDROID_SECRET_PROPERTIES }}" > secrets.properties
-          echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > google-key.json
+          echo "${{ secrets.ANDROID_KEYSTORE }}" > release.keystore
-          echo "${{ secrets.ANDROID_KEYSTORE_BASE64 }}" | base64 -d > release.keystore
+          echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON }}" > google-key.json
         working-directory: android
 
       - name: Install fastlane
@@ -53,6 +53,4 @@ jobs:
       - name: Run fastlane lane
         run: bundle exec fastlane deploy_testing
         working-directory: android
-        env:
+        # the environment variable VERSION_NAME is implicitly available
-          BUILD_NUMBER: ${{ github.run_number }}
-          # BUILD_NAME is implicitly available

frontend/android/app/build.gradle

@@ -30,19 +30,14 @@ if (flutterVersionName == null) {
 
 
 def secretPropertiesFile = rootProject.file('secrets.properties')
-def fallbackPropertiesFile = rootProject.file('fallback.properties')
 def secretProperties = new Properties()
 
 if (secretPropertiesFile.exists()) {
     secretPropertiesFile.withReader('UTF-8') { reader ->
         secretProperties.load(reader)
     }
-} else if (fallbackPropertiesFile.exists()) {
-    fallbackPropertiesFile.withReader('UTF-8') { reader ->
-        secretProperties.load(reader)
-    }
 } else {
-    throw new GradleException("Secrets file (secrets.properties, fallback.properties) not found")
+    throw new GradleException("Secrets file secrets.properties not found")
 }
 
 

frontend/android/fallback.properties

@@ -1,3 +1 @@
-# This file mirrors the state of secrets.properties as a reference for the developer.
-# And as a fallback for build.gradle
 MAPS_API_KEY=Key

frontend/android/fastlane/Fastfile

@@ -5,28 +5,22 @@ default_platform(:android)
 
 platform :android do
 
-  desc "Deploy a new version to closed testing"
+  desc "Deploy a new version as a preview version"
   lane :deploy_testing do
-    build_name = ENV["BUILD_NAME"]
+    version_name = ENV["VERSION_NAME"]
-    build_number = ENV["BUILD_NUMBER"]
 
     sh(
       "flutter",
       "build",
       "appbundle",
       "--release",
-      "--build-name=#{build_name}",
+      "--build-name=#{version_name}",
-      "--build-number=#{build_number}",
       )
     
     upload_to_play_store(
       track: 'alpha',
       skip_upload_apk: true,
       skip_upload_changelogs: true,
-      aab: "../build/app/outputs/bundle/release/app-release.aab",
-      # this is the default output of flutter build ... --release
-      # in particular this the build folder lies in the flutter root folder
-      # this is the parent folder for the android folder
       )
   end
 
@@ -34,7 +28,6 @@ platform :android do
   lane :deploy_release do
     gradle(
       task: "clean assembleRelease",
-      # todo update to a flutter call
       properties: {
         # loaded from environment
         "android.injected.version.name" => ENV["VERSION_NAME"],
@@ -44,10 +37,6 @@ platform :android do
       track: "production",
       skip_upload_apk: true,
       skip_upload_changelogs: true,
-      aab: "../build/app/outputs/bundle/release/app-release.aab",
-      # this is the default output of flutter build ... --release
-      # in particular this the build folder lies in the flutter root folder
-      # this is the parent folder for the android folder
     )
   end
 end

frontend/lib/constants.dart

@@ -3,7 +3,6 @@ import 'package:flutter/material.dart';
 const String APP_NAME = 'AnyWay';
 
 String API_URL_BASE = 'https://anyway.anydev.info';
-String API_URL_DEBUG = 'https://anyway.anydev.info';
 String PRIVACY_URL = 'https://anydev.info/privacy';
 
 const String MAP_ID = '41c21ac9b81dbfd8';

frontend/lib/modules/current_trip_error_message.dart

@@ -1,37 +0,0 @@
-import 'package:anyway/structs/trip.dart';
-import 'package:auto_size_text/auto_size_text.dart';
-import 'package:flutter/material.dart';
-
-class CurrentTripErrorMessage extends StatefulWidget {
-  final Trip trip;
-  const CurrentTripErrorMessage({
-    super.key,
-    required this.trip,
-  });
-
-  @override
-  State<CurrentTripErrorMessage> createState() => _CurrentTripErrorMessageState();
-}
-
-class _CurrentTripErrorMessageState extends State<CurrentTripErrorMessage> {
-  @override
-  Widget build(BuildContext context) => Center(
-    child: Row(
-      mainAxisAlignment: MainAxisAlignment.center,
-      children: [
-        const Icon(
-          Icons.error_outline,
-          color: Colors.red,
-          size: 50,
-        ),
-        const Padding(
-          padding: EdgeInsets.only(left: 10),
-        ),
-        AutoSizeText(
-          'Error: ${widget.trip.errorDescription}',
-          maxLines: 3,
-        ),
-      ],
-    )
-  );
-}

frontend/lib/modules/current_trip_greeter.dart

@@ -1,27 +1,37 @@
-import 'package:flutter/material.dart';
+import 'dart:developer';
+
+import 'package:anyway/constants.dart';
+import 'package:anyway/structs/trip.dart';
 import 'package:auto_size_text/auto_size_text.dart';
 
-import 'package:anyway/pages/current_trip.dart';
+import 'package:flutter/material.dart';
-import 'package:anyway/structs/trip.dart';
 
-
+class Greeter extends StatefulWidget {
-class CurrentTripGreeter extends StatefulWidget {
   final Trip trip;
 
-  CurrentTripGreeter({
+  Greeter({
-    super.key,
     required this.trip,
   });
 
   @override
-  State<CurrentTripGreeter> createState() => _CurrentTripGreeterState();
+  State<Greeter> createState() => _GreeterState();
 }
 
 
-class _CurrentTripGreeterState extends State<CurrentTripGreeter> {
+class _GreeterState extends State<Greeter> {
-  @override
+  
-  Widget build(BuildContext context) => Center(
+  Widget greeterBuilder (BuildContext context, Widget? child) {
-    child: FutureBuilder(
+    final Shader textGradient = APP_GRADIENT.createShader(Rect.fromLTWH(0.0, 0.0, 200.0, 70.0));
+    TextStyle greeterStyle = TextStyle(
+      foreground: Paint()..shader = textGradient,
+      fontWeight: FontWeight.bold,
+      fontSize: 26
+    );
+
+    Widget topGreeter;
+
+    if (widget.trip.uuid != 'pending') {
+      topGreeter = FutureBuilder(
         future: widget.trip.cityName,
         builder: (BuildContext context, AsyncSnapshot<String> snapshot) {
           if (snapshot.hasData) {
@@ -31,6 +41,7 @@ class _CurrentTripGreeterState extends State<CurrentTripGreeter> {
               style: greeterStyle
             );
           } else if (snapshot.hasError) {
+            log('Error while fetching city name');
             return AutoSizeText(
               maxLines: 1,
               'Welcome to your trip!',
@@ -44,7 +55,57 @@ class _CurrentTripGreeterState extends State<CurrentTripGreeter> {
             );
           }
         }
-    )
       );
+    } else {
+      // still awaiting the trip
+      // We can hopefully infer the city name from the cityName future
+      // Show a linear loader at the bottom and an info message above
+      topGreeter = Column(
+        mainAxisAlignment: MainAxisAlignment.end,
+        children: [
+          FutureBuilder(
+            future: widget.trip.cityName,
+            builder: (BuildContext context, AsyncSnapshot<String> snapshot) {
+              if (snapshot.hasData) {
+                return AutoSizeText(
+                  maxLines: 1,
+                  'Generating your trip to ${snapshot.data}...',
+                  style: greeterStyle
+                );
+              } else if (snapshot.hasError) {
+                // the exact error is shown in the central part of the trip overview. No need to show it here
+                return AutoSizeText(
+                  maxLines: 1,
+                  'Error while loading trip.',
+                  style: greeterStyle
+                  );
+              }
+              return AutoSizeText(
+                  maxLines: 1,
+                  'Generating your trip...',
+                  style: greeterStyle
+                  );
+            }
+          ),
+          Padding(
+            padding: EdgeInsets.all(5),
+            child: const LinearProgressIndicator()
+          )
+        ]
+      );
+    }
 
+    return Center(
+      child: topGreeter,
+    );
+  }
+
+
+  @override
+  Widget build(BuildContext context) {
+    return ListenableBuilder(
+      listenable: widget.trip,
+      builder: greeterBuilder,
+    );
+  }
 }

frontend/lib/modules/current_trip_loading_indicator.dart

@@ -1,60 +0,0 @@
-import 'package:flutter/material.dart';
-import 'package:auto_size_text/auto_size_text.dart';
-
-import 'package:anyway/structs/trip.dart';
-import 'package:anyway/pages/current_trip.dart';
-
-class CurrentTripLoadingIndicator extends StatefulWidget {
-  final Trip trip;
-  const CurrentTripLoadingIndicator({
-    super.key,
-    required this.trip,
-  });
-
-  @override
-  State<CurrentTripLoadingIndicator> createState() => _CurrentTripLoadingIndicatorState();
-}
-
-class _CurrentTripLoadingIndicatorState extends State<CurrentTripLoadingIndicator> {
-  @override
-  Widget build(BuildContext context) => Center(
-    child: FutureBuilder(
-      future: widget.trip.cityName,
-      builder: (BuildContext context, AsyncSnapshot<String> snapshot) {
-        Widget greeter;
-        Widget loadingIndicator = const Padding(
-          padding: EdgeInsets.only(top: 10),
-          child: CircularProgressIndicator()
-        );
-
-        if (snapshot.hasData) {
-          greeter = AutoSizeText(
-            maxLines: 1,
-            'Generating your trip to ${snapshot.data}...',
-            style: greeterStyle,
-          );
-        } else if (snapshot.hasError) {
-          // the exact error is shown in the central part of the trip overview. No need to show it here
-          greeter = AutoSizeText(
-            maxLines: 1,
-            'Error while loading trip.',
-            style: greeterStyle,
-            );
-        } else {
-          greeter = AutoSizeText(
-            maxLines: 1,
-            'Generating your trip...',
-            style: greeterStyle,
-            );
-        }
-        return Column(
-          mainAxisAlignment: MainAxisAlignment.center,
-          children: [
-            greeter,
-            loadingIndicator,
-          ],
-        );
-      }
-    )
-  );
-}

frontend/lib/modules/current_trip_panel.dart

@@ -1,6 +1,4 @@
 import 'package:anyway/constants.dart';
-import 'package:anyway/modules/current_trip_error_message.dart';
-import 'package:anyway/modules/current_trip_loading_indicator.dart';
 import 'package:flutter/material.dart';
 
 import 'package:anyway/structs/trip.dart';
@@ -30,36 +28,16 @@ class _CurrentTripPanelState extends State<CurrentTripPanel> {
     return ListenableBuilder(
       listenable: widget.trip,
       builder: (context, child) {
-        if (widget.trip.uuid == 'error') {
+        if (widget.trip.uuid != 'pending' && widget.trip.uuid != 'error') {
-          return Align(
-              alignment: Alignment.topCenter,
-              child: SizedBox(
-                // reuse the exact same height as the panel has when collapsed
-                // this way the greeter will be centered when the panel is collapsed
-                height: MediaQuery.of(context).size.height * TRIP_PANEL_MIN_HEIGHT - 20,
-                child: CurrentTripErrorMessage(trip: widget.trip)
-              ),
-            );
-        } else if (widget.trip.uuid == 'pending') {
-            return Align(
-              alignment: Alignment.topCenter,
-              child: SizedBox(
-                // reuse the exact same height as the panel has when collapsed
-                // this way the greeter will be centered when the panel is collapsed
-                height: MediaQuery.of(context).size.height * TRIP_PANEL_MIN_HEIGHT - 20,
-                child: CurrentTripLoadingIndicator(trip: widget.trip),
-              ),
-            );
-        } else {
           return ListView(
             controller: widget.controller,
-            padding: const EdgeInsets.only(bottom: 30),
+            padding: const EdgeInsets.only(bottom: 30, left: 5, right: 5),
             children: [
               SizedBox(
                 // reuse the exact same height as the panel has when collapsed
                 // this way the greeter will be centered when the panel is collapsed
                 height: MediaQuery.of(context).size.height * TRIP_PANEL_MIN_HEIGHT - 20,
-                child: CurrentTripGreeter(trip: widget.trip),
+                child: Greeter(trip: widget.trip),
               ),
 
               const Padding(padding: EdgeInsets.only(top: 10)),
@@ -75,6 +53,28 @@ class _CurrentTripPanelState extends State<CurrentTripPanel> {
               Center(child: saveButton(widget.trip)),
             ],
           );
+        } else if(widget.trip.uuid == 'pending') {
+          return SizedBox(
+            // reuse the exact same height as the panel has when collapsed
+            // this way the greeter will be centered when the panel is collapsed
+            height: MediaQuery.of(context).size.height * TRIP_PANEL_MIN_HEIGHT - 20,
+            child: Greeter(trip: widget.trip)
+          );
+        } else {
+          return Row(
+            mainAxisAlignment: MainAxisAlignment.center,
+            children: [
+              const Icon(
+                Icons.error_outline,
+                color: Colors.red,
+                size: 50,
+              ),
+              Padding(
+                padding: const EdgeInsets.only(left: 10),
+                child: Text('Error: ${widget.trip.errorDescription}'),
+              ),
+            ],
+          );
         }
       }
     );

frontend/lib/modules/new_trip_button.dart

@@ -34,7 +34,7 @@ class _NewTripButtonState extends State<NewTripButton> {
         }
         return FloatingActionButton.extended(
           onPressed: onPressed,
-          icon: const Icon(Icons.directions),
+          icon: const Icon(Icons.add),
           label: AutoSizeText('Start planning!'),
         ); 
       }

frontend/lib/pages/current_trip.dart

@@ -6,12 +6,6 @@ import 'package:anyway/structs/trip.dart';
 import 'package:anyway/modules/current_trip_map.dart';
 import 'package:anyway/modules/current_trip_panel.dart';
 
-final Shader textGradient = APP_GRADIENT.createShader(Rect.fromLTWH(0.0, 0.0, 200.0, 70.0));
-TextStyle greeterStyle = TextStyle(
-  foreground: Paint()..shader = textGradient,
-  fontWeight: FontWeight.bold,
-  fontSize: 26
-);
 
 
 class TripPage extends StatefulWidget {
@@ -41,7 +35,7 @@ class _TripPageState extends State<TripPage> {
         maxHeight: MediaQuery.of(context).size.height * TRIP_PANEL_MAX_HEIGHT,
         // padding in this context is annoying: it offsets the notion of vertical alignment.
         // children that want to be centered vertically need to have their size adjusted by 2x the padding
-        padding: const EdgeInsets.all(10.0),
+        padding: const EdgeInsets.only(top: 10),
         // Panel snapping should not be disabled because it significantly improves the user experience
         // panelSnapping: false
         borderRadius: const BorderRadius.only(topLeft: Radius.circular(25), topRight: Radius.circular(25)),

frontend/lib/pages/new_trip_preferences.dart

@@ -63,7 +63,7 @@ class _NewTripPreferencesPageState extends State<NewTripPreferencesPage> {
       margin: const EdgeInsets.only(left: 10, right: 10, top: 10, bottom: 0),
       shadowColor: Colors.grey,
       child: ListTile(
-        leading: preferences.maxTime.icon,
+        leading: Icon(Icons.timer),
         title: Text(preferences.maxTime.description),
         subtitle: CupertinoTimerPicker(
           mode: CupertinoTimerPickerMode.hm,

frontend/lib/pages/settings.dart

@@ -61,7 +61,9 @@ class _SettingsPageState extends State<SettingsPage> {
                     return AlertDialog(
                       title: Text('Debug mode - use a custom API endpoint'),
                       content: TextField(
-                        controller: TextEditingController(text: API_URL_DEBUG),
+                        decoration: InputDecoration(
+                          hintText: 'https://anyway-stg.anydev.info'
+                        ),
                         onChanged: (value) {
                           setState(() {
                             API_URL_BASE = value;

frontend/lib/utils/fetch_trip.dart

@@ -38,18 +38,10 @@ fetchTrip(
   String dataString = jsonEncode(data);
   log(dataString);
 
-  late Response response;
+  final response = await dio.post(
-  try {
-     response = await dio.post(
     "/trip/new",
     data: data
   );
-  } catch (e) {
-    trip.updateUUID("error");
-    trip.updateError(e.toString());
-    log(e.toString());
-    return;
-  }
 
   // handle errors
   if (response.statusCode != 200) {