Fastlane fixes working up to a full release (#68)

Reviewed-on: #68

.gitea/workflows/backend_run_test.yaml

@@ -28,7 +28,7 @@ jobs:
       working-directory: backend
 
     - name: Run Tests
-      run: pipenv run pytest src --html=report.html --self-contained-html --log-cli-level=INFO
+      run: pipenv run pytest src --html=report.html --self-contained-html --log-cli-level=DEBUG
       working-directory: backend
 
     - name: Upload HTML report

.gitea/workflows/frontend_build-android.yaml

@@ -1,67 +0,0 @@
-on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - frontend/**
-
-
-name: Build and release debug APK
-
-jobs:
-  build:
-    name: Build APK
-    runs-on: ubuntu-latest
-    steps:
-
-    - name: Install prerequisites
-      run: |
-        apt-get update
-        apt-get install -y jq
-
-    - uses: https://gitea.com/actions/checkout@v4
-
-
-    - uses: https://github.com/actions/setup-java@v4
-      with:
-        java-version: '17'
-        distribution: 'zulu'
-
-    - name: Fix flutter SDK folder permission
-      run: git config --global --add safe.directory "*"
-
-    - uses: https://github.com/subosito/flutter-action@v2
-      with:
-        channel: stable
-        flutter-version: 3.22.0
-        cache: true
-
-    - name: Setup Android SDK
-      uses: https://github.com/android-actions/setup-android@v3
-
-    - run: flutter pub get
-      working-directory: ./frontend
-
-    - name: Add required secrets
-      env:
-        ANDROID_SECRETS_PROPERTIES: ${{ secrets.ANDROID_SECRETS_PROPERTIES }}
-      run: |
-        echo "$ANDROID_SECRETS_PROPERTIES" >> ./android/secrets.properties
-      working-directory: ./frontend
-
-    - name: Sanity check
-      run: |
-        ls
-        ls -lah android
-      working-directory: ./frontend
-
-    - run: flutter build apk --debug --split-per-abi --build-number=${{ gitea.run_number }}
-      working-directory: ./frontend
-
-    - name: Upload APKs to artifacts
-      uses: https://gitea.com/actions/upload-artifact@v3
-      with:
-        name: app-release
-        path: frontend/build/app/outputs/flutter-apk/
-        if-no-files-found: error
-        retention-days: 15

.gitea/workflows/frontend_build-web.yaml

@@ -1,34 +0,0 @@
-# on:
-#   pull_request:
-#     branches:
-#       - main
-#     paths:
-#       - frontend/**
-
-
-# name: Build web
-
-# jobs:
-#   build:
-#     name: Build Web
-#     runs-on: ubuntu-latest
-#     steps:
-
-#     - name: Install prerequisites
-#       run: |
-#         sudo apt-get update
-#         sudo apt-get install -y xz-utils
-
-#     - uses: actions/checkout@v4
-
-#     - uses: https://github.com/subosito/flutter-action@v2
-#       with:
-#         channel: stable
-#         flutter-version: 3.19.6
-#         cache: true
-
-#     - run: flutter pub get
-#       working-directory: ./frontend
-
-#     - run: flutter build web
-#       working-directory: ./frontend

.gitea/workflows/frontend_deploy-beta.yaml

@@ -0,0 +1,59 @@
+on:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - frontend/**
+
+name: Build and release apps to beta track
+
+jobs:
+  get-version:
+    name: Get version
+    runs-on: macos
+    steps:
+      - uses: https://gitea.com/actions/checkout@v4
+
+      - name: Fetch tags from main branch
+        # since this workflow is triggered by a pull request, we want to match the latest tag of the main branch
+        id: version
+        run: |
+          git fetch origin main --tags
+          LATEST_TAG=$(git describe --tags $(git rev-list --tags --max-count=1))
+          # remove the 'v' prefix from the tag name
+          echo "BUILD_NAME=${LATEST_TAG//v}" >> $GITHUB_OUTPUT
+
+      - name: Output the version that is being used
+        run: |
+          echo "Building for version ${{ steps.version.outputs.BUILD_NAME }}"
+
+    outputs:
+      build_name: ${{ steps.version.outputs.BUILD_NAME }}
+
+  build-android:
+    name: Build and upload android app
+    uses: ./.gitea/workflows/workflow_build-app-android.yaml
+    with:
+      build_type: beta
+      build_name: ${{ needs.get-version.outputs.build_name }}
+    secrets:
+      ANDROID_SECRET_PROPERTIES_BASE64: ${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}
+      ANDROID_GOOGLE_PLAY_JSON_BASE64: ${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}
+      ANDROID_KEYSTORE_BASE64: ${{ secrets.ANDROID_KEYSTORE_BASE64 }}
+      ANDROID_GOOGLE_MAPS_API_KEY: ${{ secrets.ANDROID_GOOGLE_MAPS_API_KEY }}
+    needs: get-version
+
+  build-ios:
+    name: Build and upload ios app
+    uses: ./.gitea/workflows/workflow_build-app-ios.yaml
+    with:
+      build_type: beta
+      build_name: ${{ needs.get-version.outputs.build_name }}
+    secrets:
+      IOS_ASC_KEY_ID: ${{ secrets.IOS_ASC_KEY_ID }}
+      IOS_ASC_ISSUER_ID: ${{ secrets.IOS_ASC_ISSUER_ID }}
+      IOS_ASC_KEY: ${{ secrets.IOS_ASC_KEY }}
+      IOS_MATCH_REPO_SSH_KEY_BASE64: ${{ secrets.IOS_MATCH_REPO_SSH_KEY_BASE64 }}
+      IOS_MATCH_PASSWORD: ${{ secrets.IOS_MATCH_PASSWORD }}
+      IOS_GOOGLE_MAPS_API_KEY: ${{ secrets.IOS_GOOGLE_MAPS_API_KEY }}
+    needs: build-android # technically not needed, but this prevents the builds from running in parallel

.gitea/workflows/frontend_deploy-release.yaml

@@ -0,0 +1,56 @@
+on:
+  push:
+    tags:
+      - v*
+
+name: Build and release apps to production track
+
+jobs:
+  get-version:
+    name: Get version
+    runs-on: macos
+    steps:
+      - uses: https://gitea.com/actions/checkout@v4
+
+      - name: Get version from git tag
+        id: version
+        env: 
+          REF_NAME: ${{ gitea.ref_name }}
+        # remove the 'v' prefix from the tag name
+        run: |
+          echo "BUILD_NAME=${REF_NAME//v}" >> $GITHUB_OUTPUT
+
+      - name: Output the version that is being used
+        run: |
+          echo "Building for version ${{ steps.version.outputs.BUILD_NAME }}"
+
+    outputs:
+      build_name: ${{ steps.version.outputs.BUILD_NAME }}
+
+  build-android:
+    name: Build and upload android app
+    uses: ./.gitea/workflows/workflow_build-app-android.yaml
+    with:
+      build_type: release
+      build_name: ${{ needs.get-version.outputs.build_name }}
+    secrets:
+      ANDROID_SECRET_PROPERTIES_BASE64: ${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}
+      ANDROID_GOOGLE_PLAY_JSON_BASE64: ${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}
+      ANDROID_KEYSTORE_BASE64: ${{ secrets.ANDROID_KEYSTORE_BASE64 }}
+      ANDROID_GOOGLE_MAPS_API_KEY: ${{ secrets.ANDROID_GOOGLE_MAPS_API_KEY }}
+    needs: get-version
+
+  build-ios:
+    name: Build and upload ios app
+    uses: ./.gitea/workflows/workflow_build-app-ios.yaml
+    with:
+      build_type: release
+      build_name: ${{ needs.get-version.outputs.build_name }}
+    secrets:
+      IOS_ASC_KEY_ID: ${{ secrets.IOS_ASC_KEY_ID }}
+      IOS_ASC_ISSUER_ID: ${{ secrets.IOS_ASC_ISSUER_ID }}
+      IOS_ASC_KEY: ${{ secrets.IOS_ASC_KEY }}
+      IOS_MATCH_REPO_SSH_KEY_BASE64: ${{ secrets.IOS_MATCH_REPO_SSH_KEY_BASE64 }}
+      IOS_MATCH_PASSWORD: ${{ secrets.IOS_MATCH_PASSWORD }}
+      IOS_GOOGLE_MAPS_API_KEY: ${{ secrets.IOS_GOOGLE_MAPS_API_KEY }}
+    needs: build-android # technically not needed, but this prevents the builds from running in parallel

.gitea/workflows/frontend_trigger_deployment.yaml

@@ -1,39 +0,0 @@
-on:
-  push:
-    tags:
-      - v*
-
-jobs:
-  push-to-remote:
-  # We want to use the macos runner provided by github actions. This requires to push to a remote first.
-  # After the push we can use the action under frontend/.github/actions/ to deploy properly using fastlane on macos.
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v3
-        with:
-          path: 'src'
-
-      - name: Checkout remote repository
-        uses: actions/checkout@v3
-        with:
-          path: 'dest'
-          ref: 'main'
-          github-server-url: 'https://github.com'
-          repository: 'moll-re/anyway-frontend-builder'
-          token: ${{ secrets.PUSH_GITHUB_API_TOKEN }}
-          fetch-depth: 0
-          persist-credentials: true
-
-      - name: Copy files to remote repository
-        run: cp -r src/frontend/. dest/
-
-      - name: Commit and push changes
-        run: |
-          cd dest
-          git config --global user.email "me@moll.re"
-          git config --global user.name "[bot]"
-          git add .
-          git commit -m "Automatic code update for tag"
-          git tag -a ${{ github.ref_name }} -m "mirrored tag"
-          git push origin main --tags

.gitea/workflows/workflow_build-app-android.yaml

@@ -0,0 +1,78 @@
+on:
+  workflow_call:
+    inputs:
+      build_type:
+        description: 'Release type (release, beta)'
+        required: true
+        type: string
+      build_name:
+        description: 'Build name'
+        required: true
+        type: string
+    secrets:
+      ANDROID_SECRET_PROPERTIES_BASE64:
+        required: true
+      ANDROID_GOOGLE_PLAY_JSON_BASE64:
+        required: true
+      ANDROID_KEYSTORE_BASE64:
+        required: true
+      ANDROID_GOOGLE_MAPS_API_KEY:
+        required: true
+
+name: Build and release android appbundle to specfied track
+
+defaults:
+  run:
+    working-directory: frontend/android
+
+jobs:
+  build:
+    runs-on: macos-14
+    env:
+      # $BUNDLE_GEMFILE must be set at the job level, so it is set for all steps
+      BUNDLE_GEMFILE: ${{ gitea.workspace }}/frontend/android/Gemfile
+
+    steps:
+    - uses: https://gitea.com/actions/checkout@v4
+
+    - uses: https://github.com/actions/setup-java@v4
+      with:
+        java-version: '17'
+        distribution: 'zulu'
+
+    - name: Setup Android SDK
+      uses: https://github.com/android-actions/setup-android@v3
+
+    - name: Fix flutter SDK folder permission
+      run: git config --global --add safe.directory "*"
+
+    - uses: https://github.com/subosito/flutter-action@v2
+      with:
+        channel: stable
+        flutter-version-file: ${{ gitea.workspace }}/frontend/pubspec.yaml
+        architecture: x64
+        cache: true
+
+    - name: Install dependencies and clean up
+      run: |
+        flutter pub get
+        flutter clean
+
+    - name: Set up ruby env and install fastlane
+      uses: https://github.com/ruby/setup-ruby@v1
+      with:
+        ruby-version: 3.3
+        bundler-cache: true # runs 'bundle install' and caches installed gems automatically
+
+    - name: Add required secret files
+      run: |
+        echo "${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}" | base64 -d > secrets.properties
+        echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > google-key.json
+        echo "${{ secrets.ANDROID_KEYSTORE_BASE64 }}" | base64 -d > release.keystore
+
+    - name: Run fastlane lane
+      run: bundle exec fastlane deploy_${{ inputs.build_type }}
+      env:
+        BUILD_NUMBER: ${{ gitea.run_number }}
+        BUILD_NAME: ${{ inputs.build_name }}
+        ANDROID_GOOGLE_MAPS_API_KEY: ${{ secrets.ANDROID_GOOGLE_MAPS_API_KEY }}

.gitea/workflows/workflow_build-app-ios.yaml

@@ -0,0 +1,90 @@
+on:
+  workflow_call:
+    inputs:
+      build_type:
+        description: 'Release type (release, beta)'
+        required: true
+        type: string
+      build_name:
+        description: 'Build name'
+        required: true
+        type: string
+    secrets:
+      IOS_ASC_KEY_ID:
+        required: true
+      IOS_ASC_ISSUER_ID:
+        required: true
+      IOS_ASC_KEY:
+        required: true
+      IOS_MATCH_REPO_SSH_KEY_BASE64:
+        required: true
+      IOS_MATCH_PASSWORD:
+        required: true
+      IOS_GOOGLE_MAPS_API_KEY:
+        required: true
+
+name: Build and release ipa to specified track
+
+defaults:
+  run:
+    working-directory: frontend/ios
+
+jobs:
+  build:
+    runs-on: macos-14
+    env:
+      # $BUNDLE_GEMFILE must be set at the job level, so it is set for all steps
+      BUNDLE_GEMFILE: ${{ gitea.workspace }}/frontend/ios/Gemfile
+
+    steps:
+      - uses: https://gitea.com/actions/checkout@v4
+
+      - name: Install Flutter
+        uses: https://github.com/subosito/flutter-action@v2
+        with:
+          channel: stable
+          flutter-version-file: ${{ gitea.workspace }}/frontend/pubspec.yaml
+          architecture: x64
+          cache: true
+
+      - name: Set up ruby env
+        uses: https://github.com/ruby/setup-ruby@v1
+        with:
+          ruby-version: 3.3
+          bundler-cache: true # runs 'bundle install' and caches installed gems automatically
+
+      - uses: GuillaumeFalourd/setup-rsync@v1.2
+        # rsync is required by the google maps ios tools
+
+      - name: Install dependencies and clean up
+        run: |
+          flutter pub get
+          flutter precache --ios
+          bundle exec pod install --allow-root
+          flutter clean
+          bundle exec pod cache clean --all --allow-root
+
+      - name: Setup SSH key for match git repo
+        # and mark the host as known
+        run: |
+          echo $MATCH_REPO_SSH_KEY | base64 --decode > ~/.ssh/id_rsa
+          chmod 600 ~/.ssh/id_rsa
+          ssh-keyscan -p 2222 git.kluster.moll.re > ~/.ssh/known_hosts
+        env:
+          MATCH_REPO_SSH_KEY: ${{ secrets.IOS_MATCH_REPO_SSH_KEY_BASE64 }}
+
+      - name: Replace API Key from secret
+        # on a macOS runner, sed requires a replacement suffix after the -i flag
+        run: |
+          sed -i '' -e "s/IOS_GOOGLE_MAPS_API_KEY/${{ secrets.IOS_GOOGLE_MAPS_API_KEY }}/g" Runner/AppDelegate.swift
+
+      - name: Run fastlane lane
+        run: bundle exec fastlane deploy_${{ inputs.build_type }}
+        env:
+          BUILD_NUMBER: ${{ gitea.run_number }}
+          BUILD_NAME: ${{ inputs.build_name }}
+          IOS_ASC_KEY_ID: ${{ secrets.IOS_ASC_KEY_ID }}
+          IOS_ASC_ISSUER_ID: ${{ secrets.IOS_ASC_ISSUER_ID }}
+          IOS_ASC_KEY: ${{ secrets.IOS_ASC_KEY }}
+          MATCH_PASSWORD: ${{ secrets.IOS_MATCH_PASSWORD }}
+          IOS_GOOGLE_MAPS_API_KEY: ${{ secrets.IOS_GOOGLE_MAPS_API_KEY }}

.vscode/launch.json

@@ -36,7 +36,10 @@
             "type": "dart",
             "request": "launch",
             "program": "lib/main.dart",
-            "cwd": "${workspaceFolder}/frontend"
+            "cwd": "${workspaceFolder}/frontend",
+            "env": {
+                "GOOGLE_MAPS_API_KEY": "testing"
+            }
         },
         {
             "name": "Frontend - profile",
@@ -47,4 +50,4 @@
             "cwd": "${workspaceFolder}/frontend"
         }
     ]
-}
+}

LICENSE.md

@@ -0,0 +1,30 @@
+# License
+
+## Proprietary License
+
+All code and resources in this repository are the property of AnyDev. The software and related documentation are provided solely for use with services provided by AnyDev. Redistribution, modification, or use of this software outside of its intended service is strictly prohibited without explicit permission.
+
+### Copyright © 2024 AnyDev
+
+All rights reserved.
+
+### Restrictions
+
+- You may not modify, distribute, copy, or reverse engineer any part of this codebase.
+- This software is licensed for use solely in conjunction with services provided by AnyDev.
+- Any commercial use of this software is strictly prohibited without explicit written consent from AnyDev.
+
+## Third-Party Dependencies
+
+This project uses third-party dependencies, which are subject to their respective licenses.
+
+- Python backend dependencies: fastapi, pydantic, numpy, shapely, etc. – Licensed under their respective licenses.
+- Flutter frontend dependencies: Cupertino Icons, sliding_up_panel, http, etc. – Licensed under their respective licenses.
+
+Please refer to each project's documentation for the specific terms and conditions.
+
+## OpenStreetMap Data Usage
+
+This project uses data derived from **OpenStreetMap**. OpenStreetMap data is available under the [Open Database License (ODbL)](https://www.openstreetmap.org/copyright). We comply with the ODbL license, and some of the data displayed in the service may be derived from OpenStreetMap sources. We do not redistribute raw OpenStreetMap data; instead, it is processed and transformed before being used in our services.
+
+More information about OpenStreetMap data usage can be found [here](https://www.openstreetmap.org/copyright).

backend/.gitignore

@@ -1,6 +1,9 @@
 # osm-cache
 cache_XML/
 
+# secrets
+*secrets.yaml
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

backend/.pylintrc

@@ -445,7 +445,9 @@ disable=raw-checker-failed,
         logging-fstring-interpolation,
         duplicate-code,
         relative-beyond-top-level, 
-        invalid-name
+        invalid-name,
+        too-many-arguments,
+        too-many-positional-arguments
 
 # Enable the message, report, category or checker with the given id(s). You can
 # either give multiple identifier separated by comma (,) or put this option

backend/landmarks.json

@@ -0,0 +1,363 @@
+[
+    {
+        "name": "Chinatown",
+        "type": "shopping",
+        "location": [
+            45.7554934,
+            4.8444852
+        ],
+        "osm_type": "way",
+        "osm_id": 996515596,
+        "attractiveness": 129,
+        "n_tags": 0,
+        "image_url": null,
+        "website_url": null,
+        "wiki_url": null,
+        "keywords": {},
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "285d159c-68ee-4b37-8d71-f27ee3d38b02",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Galeries Lafayette",
+        "type": "shopping",
+        "location": [
+            45.7627107,
+            4.8556833
+        ],
+        "osm_type": "way",
+        "osm_id": 1069872743,
+        "attractiveness": 197,
+        "n_tags": 11,
+        "image_url": null,
+        "website_url": "http://www.galerieslafayette.com/",
+        "wiki_url": null,
+        "keywords": null,
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "28f1bc30-10d3-4944-8861-0ed9abca012d",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Muji",
+        "type": "shopping",
+        "location": [
+            45.7615971,
+            4.8543781
+        ],
+        "osm_type": "way",
+        "osm_id": 1044165817,
+        "attractiveness": 259,
+        "n_tags": 14,
+        "image_url": null,
+        "website_url": "https://www.muji.com/fr/",
+        "wiki_url": null,
+        "keywords": null,
+        "description": null,
+        "duration": 30,
+        "name_en": "Muji",
+        "uuid": "957f86a5-6c00-41a2-815d-d6f739052be4",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "HEMA",
+        "type": "shopping",
+        "location": [
+            45.7619133,
+            4.8565239
+        ],
+        "osm_type": "way",
+        "osm_id": 1069872750,
+        "attractiveness": 156,
+        "n_tags": 9,
+        "image_url": null,
+        "website_url": "https://fr.westfield.com/lapartdieu/store/HEMA/www.hema.fr",
+        "wiki_url": null,
+        "keywords": null,
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "8dae9d3e-e4c4-4e80-941d-0b106e22c85b",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Cordeliers",
+        "type": "shopping",
+        "location": [
+            45.7622752,
+            4.8337998
+        ],
+        "osm_type": "node",
+        "osm_id": 5545183519,
+        "attractiveness": 813,
+        "n_tags": 0,
+        "image_url": null,
+        "website_url": null,
+        "wiki_url": null,
+        "keywords": {},
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "ba02adb5-e28f-4645-8c2d-25ead6232379",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Halles de Lyon Paul Bocuse",
+        "type": "shopping",
+        "location": [
+            45.7628282,
+            4.8505601
+        ],
+        "osm_type": "relation",
+        "osm_id": 971529,
+        "attractiveness": 272,
+        "n_tags": 12,
+        "image_url": null,
+        "website_url": "https://www.halles-de-lyon-paulbocuse.com/",
+        "wiki_url": "fr:Halles de Lyon-Paul Bocuse",
+        "keywords": {
+            "importance": "national",
+            "height": null,
+            "place_type": "marketplace",
+            "date": null
+        },
+        "description": "Halles de Lyon Paul Bocuse is a marketplace of national importance.",
+        "duration": 30,
+        "name_en": null,
+        "uuid": "bbd50de3-aa91-425d-90c2-d4abfd1b4abe",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Grand Bazar",
+        "type": "shopping",
+        "location": [
+            45.7632141,
+            4.8361975
+        ],
+        "osm_type": "way",
+        "osm_id": 82399951,
+        "attractiveness": 93,
+        "n_tags": 7,
+        "image_url": null,
+        "website_url": null,
+        "wiki_url": null,
+        "keywords": null,
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "3de9131c-87c5-4efb-9fa8-064896fb8b29",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Shopping Area",
+        "type": "shopping",
+        "location": [
+            45.7673452,
+            4.8438683
+        ],
+        "osm_type": "node",
+        "osm_id": 0,
+        "attractiveness": 156,
+        "n_tags": 0,
+        "image_url": null,
+        "website_url": null,
+        "wiki_url": null,
+        "keywords": {},
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "df2482a8-7e2e-4536-aad3-564899b2fa65",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Cour Oxyg\u00e8ne",
+        "type": "shopping",
+        "location": [
+            45.7620905,
+            4.8568873
+        ],
+        "osm_type": "way",
+        "osm_id": 132673030,
+        "attractiveness": 63,
+        "n_tags": 5,
+        "image_url": null,
+        "website_url": null,
+        "wiki_url": null,
+        "keywords": null,
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "ed134f76-9a02-4bee-9c10-78454f7bc4ce",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "P\u00f4le de Commerces et de Loisirs Confluence",
+        "type": "shopping",
+        "location": [
+            45.7410414,
+            4.8171031
+        ],
+        "osm_type": "way",
+        "osm_id": 440270633,
+        "attractiveness": 259,
+        "n_tags": 14,
+        "image_url": null,
+        "website_url": "https://www.confluence.fr/",
+        "wiki_url": null,
+        "keywords": null,
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "dd7e2f5f-0e60-4560-b903-e5ded4b6e36a",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Grand H\u00f4tel-Dieu",
+        "type": "shopping",
+        "location": [
+            45.7586955,
+            4.8364597
+        ],
+        "osm_type": "relation",
+        "osm_id": 300128,
+        "attractiveness": 546,
+        "n_tags": 22,
+        "image_url": null,
+        "website_url": "https://grand-hotel-dieu.com",
+        "wiki_url": "fr:H\u00f4tel-Dieu de Lyon",
+        "keywords": {
+            "importance": "international",
+            "height": null,
+            "place_type": "building",
+            "date": "C17"
+        },
+        "description": "Grand H\u00f4tel-Dieu is an internationally famous building. It was constructed in C17.",
+        "duration": 30,
+        "name_en": null,
+        "uuid": "a91265a8-ffbd-44f7-a7ab-3ff75f08fbab",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Westfield La Part-Dieu",
+        "type": "shopping",
+        "location": [
+            45.761331,
+            4.855676
+        ],
+        "osm_type": "way",
+        "osm_id": 62338376,
+        "attractiveness": 546,
+        "n_tags": 22,
+        "image_url": null,
+        "website_url": "https://fr.westfield.com/lapartdieu",
+        "wiki_url": "fr:La Part-Dieu (centre commercial)",
+        "keywords": null,
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "7d60316f-d689-4fcf-be68-ffc09353b826",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    },
+    {
+        "name": "Ainay",
+        "type": "shopping",
+        "location": [
+            45.7553105,
+            4.8312084
+        ],
+        "osm_type": "node",
+        "osm_id": 5545126047,
+        "attractiveness": 132,
+        "n_tags": 0,
+        "image_url": null,
+        "website_url": null,
+        "wiki_url": null,
+        "keywords": {},
+        "description": null,
+        "duration": 30,
+        "name_en": null,
+        "uuid": "ad214f3d-a4b9-4078-876a-446caa7ab01c",
+        "must_do": false,
+        "must_avoid": false,
+        "is_secondary": false,
+        "time_to_reach_next": 0,
+        "next_uuid": null,
+        "is_viewpoint": false,
+        "is_place_of_worship": false
+    }
+]

backend/src/constants.py

@@ -2,6 +2,7 @@
 
 import os
 from pathlib import Path
+from typing import List, Literal, Tuple
 
 
 LOCATION_PREFIX = Path('src')
@@ -14,6 +15,8 @@ OPTIMIZER_PARAMETERS_PATH = PARAMETERS_DIR / 'optimizer_parameters.yaml'
 cache_dir_string = os.getenv('OSM_CACHE_DIR', './cache')
 OSM_CACHE_DIR = Path(cache_dir_string)
 
+OSM_TYPES = List[Literal['way', 'node', 'relation']]
+BBOX = Tuple[float, float, float, float]
 
 MEMCACHED_HOST_PATH = os.getenv('MEMCACHED_HOST_PATH', None)
 if MEMCACHED_HOST_PATH == "none":

backend/src/landmarks/cluster_manager.py

@@ -1,6 +1,6 @@
 """Find clusters of interest to add more general areas of visit to the tour."""
 import logging
-from typing import Literal
+from typing import Literal, Tuple
 
 import numpy as np
 from sklearn.cluster import DBSCAN
@@ -8,8 +8,9 @@ from pydantic import BaseModel
 
 from ..overpass.overpass import Overpass, get_base_info
 from ..structs.landmark import Landmark
-from .get_time_distance import get_distance
-from ..constants import OSM_CACHE_DIR
+from ..utils.get_time_distance import get_distance
+from ..utils.bbox import create_bbox
+
 
 
 # silence the overpass logger
@@ -32,7 +33,7 @@ class Cluster(BaseModel):
     """
     type: Literal['street', 'area']
     importance: int
-    centroid: tuple
+    centroid: Tuple[float, float]
     # start: Optional[list] = None      # for later use if we want to have streets as well
     # end: Optional[list] = None
 
@@ -79,8 +80,7 @@ class ClusterManager:
             bbox: The bounding box coordinates (around:radius, center_lat, center_lon).
         """
         # Setup the caching in the Overpass class.
-        self.overpass = Overpass(caching_strategy='XML', cache_dir=OSM_CACHE_DIR)
-
+        self.overpass = Overpass()
 
         self.cluster_type = cluster_type
         if cluster_type == 'shopping' :
@@ -95,32 +95,29 @@ class ClusterManager:
             raise NotImplementedError("Please choose only an available option for cluster detection")
 
         # Initialize the points for cluster detection
-        query = self.overpass.build_query(
-            area = bbox,
+        try:
+            result = self.overpass.send_query(
+            bbox = bbox,
             osm_types = osm_types,
             selector = sel,
             out = out
         )
-        self.logger.debug(f"Cluster query: {query}")
-
-        try:
-            result = self.overpass.send_query(query)
         except Exception as e:
-            self.logger.error(f"Error fetching landmarks: {e}")
+            self.logger.warning(f"Error fetching clusters: {e}")
 
         if result is None :
-            self.logger.error(f"Error fetching {cluster_type} clusters, overpass query returned None.")
+            self.logger.debug(f"Found no {cluster_type} clusters, overpass query returned no datapoints.")
             self.valid = False
 
         else :
             points = []
-            for osm_type in osm_types :
-                for elem in result.findall(osm_type):
-                    
-                    # Get coordinates and append them to the points list
-                    _, coords = get_base_info(elem, osm_type)
-                    if coords is not None :
-                        points.append(coords)
+            for elem in result:
+                osm_type = elem.get('type')
+
+                # Get coordinates and append them to the points list
+                _, coords = get_base_info(elem, osm_type)
+                if coords is not None :
+                    points.append(coords)
 
             if points :
                 self.all_points = np.array(points)
@@ -137,7 +134,7 @@ class ClusterManager:
 
                 # Check that there are is least 1 cluster
                 if len(set(labels)) > 1 :
-                    self.logger.debug(f"Found {len(set(labels))} different clusters.")
+                    self.logger.info(f"Found {len(set(labels))} different {cluster_type} clusters.")
                     # Separate clustered points and noise points
                     self.cluster_points = self.all_points[labels != -1]
                     self.cluster_labels = labels[labels != -1]
@@ -145,7 +142,7 @@ class ClusterManager:
                     self.valid = True
 
                 else :
-                    self.logger.debug(f"Detected 0 {cluster_type} clusters.")
+                    self.logger.info(f"Found 0 {cluster_type} clusters.")
                     self.valid = False
 
             else :
@@ -181,11 +178,12 @@ class ClusterManager:
 
             # Calculate the centroid as the mean of the points
             centroid = np.mean(current_cluster, axis=0)
+            centroid = tuple((round(centroid[0], 7), round(centroid[1], 7)))
 
             if self.cluster_type == 'shopping' :
-                score = len(current_cluster)*2
+                score = len(current_cluster)*3
             else :
-                score = len(current_cluster)*8
+                score = len(current_cluster)*15
             locations.append(Cluster(
                 type='area',
                 centroid=centroid,
@@ -218,8 +216,7 @@ class ClusterManager:
         """
 
         # Define the bounding box for a given radius around the coordinates
-        lat, lon = cluster.centroid
-        bbox = (1000, lat, lon)
+        bbox = create_bbox(cluster.centroid, 300)
 
         # Query neighborhoods and shopping malls
         selectors = ['"place"~"^(suburb|neighborhood|neighbourhood|quarter|city_block)$"']
@@ -227,10 +224,10 @@ class ClusterManager:
         if self.cluster_type == 'shopping' :
             selectors.append('"shop"="mall"')
             new_name = 'Shopping Area'
-            t = 40
+            t = 30
         else :
             new_name = 'Neighborhood'
-            t = 15
+            t = 20
 
         min_dist = float('inf')
         osm_id = 0
@@ -238,37 +235,32 @@ class ClusterManager:
         osm_types = ['node', 'way', 'relation']
 
         for sel in selectors :
-            query = self.overpass.build_query(
-                area = bbox,
-                osm_types = osm_types,
-                selector = sel,
-                out = 'ids center'
-            )
-
             try:
-                result = self.overpass.send_query(query)
+                result = self.overpass.send_query(bbox = bbox,
+                                                  osm_types = osm_types,
+                                                  selector = sel,
+                                                  out = 'ids center tags'
+                                                  )
             except Exception as e:
-                self.logger.error(f"Error fetching landmarks: {e}")
+                self.logger.warning(f"Error fetching clusters: {e}")
                 continue
 
             if result is None :
-                self.logger.error(f"Error fetching landmarks: {e}")
+                self.logger.warning(f"Error fetching clusters: query result is None")
                 continue
 
-            for osm_type in osm_types :
-                for elem in result.findall(osm_type):
+            for elem in result:
+                # Get basic info
+                id, coords, name = get_base_info(elem, elem.get('type'), with_name=True)
+                if name is None or coords is None :
+                    continue
 
-                    id, coords, name = get_base_info(elem, osm_type, with_name=True)
-
-                    if name is None or coords is None :
-                        continue
-
-                    d = get_distance(cluster.centroid, coords)
-                    if  d < min_dist :
-                        min_dist = d
-                        new_name = name
-                        osm_type = osm_type     # Add type: 'way' or 'relation'
-                        osm_id = id             # Add OSM id
+                d = get_distance(cluster.centroid, coords)
+                if  d < min_dist :
+                    min_dist = d
+                    new_name = name             # add name
+                    osm_type = elem.get('type') # add type: 'way' or 'relation'
+                    osm_id = id                 # add OSM id
 
         return Landmark(
             name=new_name,

backend/src/landmarks/landmarks_manager.py

@@ -1,19 +1,15 @@
 """Module used to import data from OSM and arrange them in categories."""
 import logging
-import xml.etree.ElementTree as ET
 import yaml
 
-
 from ..structs.preferences import Preferences
 from ..structs.landmark import Landmark
-from .take_most_important import take_most_important
+from ..utils.take_most_important import take_most_important
 from .cluster_manager import ClusterManager
 from ..overpass.overpass import Overpass, get_base_info
+from ..utils.bbox import create_bbox
 
-from ..constants import AMENITY_SELECTORS_PATH, LANDMARK_PARAMETERS_PATH, OPTIMIZER_PARAMETERS_PATH, OSM_CACHE_DIR
-
-# silence the overpass logger
-logging.getLogger('Overpass').setLevel(level=logging.CRITICAL)
+from ..constants import AMENITY_SELECTORS_PATH, LANDMARK_PARAMETERS_PATH, OPTIMIZER_PARAMETERS_PATH
 
 
 class LandmarkManager:
@@ -37,14 +33,12 @@ class LandmarkManager:
 
         with 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']
+            self.max_bbox_side = parameters['max_bbox_side']
             self.church_coeff = parameters['church_coeff']
             self.nature_coeff = parameters['nature_coeff']
             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']
@@ -56,7 +50,7 @@ class LandmarkManager:
             self.detour_factor = parameters['detour_factor']
 
         # Setup the caching in the Overpass class.
-        self.overpass = Overpass(caching_strategy='XML', cache_dir=OSM_CACHE_DIR)
+        self.overpass = Overpass()
 
         self.logger.info('LandmakManager successfully initialized.')
 
@@ -80,39 +74,39 @@ class LandmarkManager:
         """
         self.logger.debug('Starting to fetch landmarks...')
         max_walk_dist = int((preferences.max_time_minute/2)/60*self.walking_speed*1000/self.detour_factor)
-        reachable_bbox_side = min(max_walk_dist, self.max_bbox_side)
+        radius = min(max_walk_dist, int(self.max_bbox_side/2))
 
         # use set to avoid duplicates, this requires some __methods__ to be set in Landmark
         all_landmarks = set()
 
         # Create a bbox using the around technique, tuple of strings
-        bbox = tuple((min(2000, reachable_bbox_side/2), center_coordinates[0], center_coordinates[1]))
+        bbox = create_bbox(center_coordinates, radius)
 
         # list for sightseeing
         if preferences.sightseeing.score != 0:
             self.logger.debug('Fetching sightseeing landmarks...')
             current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['sightseeing'], preferences.sightseeing.type, preferences.sightseeing.score)
             all_landmarks.update(current_landmarks)
-            self.logger.debug('Fetching sightseeing clusters...')
+            self.logger.info(f'Found {len(current_landmarks)} sightseeing landmarks')
 
             # special pipeline for historic neighborhoods
             neighborhood_manager = ClusterManager(bbox, 'sightseeing')
             historic_clusters = neighborhood_manager.generate_clusters()
             all_landmarks.update(historic_clusters)
-            self.logger.debug('Sightseeing clusters done')
 
         # list for nature
         if preferences.nature.score != 0:
             self.logger.debug('Fetching nature landmarks...')
             current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['nature'], preferences.nature.type, preferences.nature.score)
             all_landmarks.update(current_landmarks)
+            self.logger.info(f'Found {len(current_landmarks)} nature landmarks')
 
 
         # list for shopping
         if preferences.shopping.score != 0:
             self.logger.debug('Fetching shopping landmarks...')
             current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['shopping'], preferences.shopping.type, preferences.shopping.score)
-            self.logger.debug('Fetching shopping clusters...')
+            self.logger.info(f'Found {len(current_landmarks)} shopping landmarks')
 
             # set time for all shopping activites :
             for landmark in current_landmarks :
@@ -123,8 +117,6 @@ class LandmarkManager:
             shopping_manager = ClusterManager(bbox, 'shopping')
             shopping_clusters = shopping_manager.generate_clusters()
             all_landmarks.update(shopping_clusters)
-            self.logger.debug('Shopping clusters done')
-
 
 
         landmarks_constrained = take_most_important(all_landmarks, self.n_important)
@@ -154,6 +146,8 @@ class LandmarkManager:
             score *= self.wikipedia_bonus
         if landmark.is_place_of_worship :
             score *= self.church_coeff
+        if landmark.is_viewpoint :
+            score *= self.viewpoint_bonus
         if landmarktype == 'nature' :
             score *= self.nature_coeff
 
@@ -179,7 +173,7 @@ class LandmarkManager:
         """
         return_list = []
 
-        if landmarktype == 'nature' : query_conditions = []
+        if landmarktype == 'nature' : query_conditions = None
         else : query_conditions = ['count_tags()>5']
 
         # caution, when applying a list of selectors, overpass will search for elements that match ALL selectors simultaneously
@@ -190,119 +184,240 @@ class LandmarkManager:
             osm_types = ['way', 'relation']
 
             if 'viewpoint' in sel :
-                query_conditions = []
+                query_conditions = None
                 osm_types.append('node')
 
-            query = self.overpass.build_query(
-                area = bbox,
-                osm_types = osm_types,
-                selector = sel,
-                conditions = query_conditions,        # except for nature....
-                out = 'center'
-                )
-            self.logger.debug(f"Query: {query}")
-
+            # Send the overpass query
             try:
-                result = self.overpass.send_query(query)
+                result = self.overpass.send_query(
+                    bbox = bbox,
+                    osm_types = osm_types,
+                    selector = sel,
+                    conditions = query_conditions,        # except for nature....
+                    out = 'ids center tags'
+                    )
             except Exception as e:
-                self.logger.error(f"Error fetching landmarks: {e}")
+                self.logger.debug(f"Failed to fetch landmarks, proceeding without: {str(e)}")
                 continue
 
-            return_list += self.xml_to_landmarks(result, landmarktype, preference_level)
+            return_list += self._to_landmarks(result, landmarktype, preference_level)
 
-        self.logger.debug(f"Fetched {len(return_list)} landmarks of type {landmarktype} in {bbox}")
+        # self.logger.debug(f"Fetched {len(return_list)} landmarks of type {landmarktype} in {bbox}")
 
         return return_list
 
 
-    def xml_to_landmarks(self, root: ET.Element, landmarktype, preference_level) -> list[Landmark]:
+    def _to_landmarks(self, elements: list, landmarktype, preference_level) -> list[Landmark]:
         """
         Parse the Overpass API result and extract landmarks.
 
-        This method processes the XML root element returned by the Overpass API and 
+        This method processes the JSON elements returned by the Overpass API and 
         extracts landmarks of types 'node', 'way', and 'relation'. It retrieves 
         relevant information such as name, coordinates, and tags, and converts them 
         into Landmark objects.
 
         Args:
-        root (ET.Element): The root element of the XML response from Overpass API.
+        elements (list): The elements of json response from Overpass API.
         elem_type (str): The type of landmark (e.g., node, way, relation).
 
         Returns:
-        list[Landmark]: A list of Landmark objects extracted from the XML data.
+        list[Landmark]: A list of Landmark objects extracted from the JSON data.
         """
-        if root is None :
+        if elements is None :
             return []
 
         landmarks = []
-        for osm_type in ['node', 'way', 'relation'] :
-            for elem in root.findall(osm_type):
+        for elem in elements:
+            osm_type = elem.get('type')
 
-                id, coords, name = get_base_info(elem, osm_type, with_name=True)
-
-                if name is None or coords is None :
-                    continue
-
-                tags = elem.findall('tag')
-
-                # Convert this to Landmark object
-                landmark = Landmark(name=name,
-                                    type=landmarktype,
-                                    location=coords,
-                                    osm_id=id,
-                                    osm_type=osm_type,
-                                    attractiveness=0,
-                                    n_tags=len(tags))
-
-                # Browse through tags to add information to landmark.
-                for tag in tags:
-                    key = tag.get('k')
-                    value = tag.get('v')
-
-                    # Skip this landmark if not suitable.
-                    if key == 'building:part' and value == 'yes' :
-                        break
-                    if 'disused:' in key :
-                        break
-                    if 'boundary:' in key :
-                        break
-                    if 'shop' in key and landmarktype != 'shopping' :
-                        break
-                    # if value == 'apartments' :
-                    #     break
-
-                    # Fill in the other attributes.
-                    if key == 'image' :
-                        landmark.image_url = value
-                    if key == 'website' :
-                        landmark.website_url = value
-                    if key == 'place_of_worship' :
-                        landmark.is_place_of_worship = True
-                    if key == 'wikipedia' :
-                        landmark.wiki_url = value
-                    if key == 'name:en' :
-                        landmark.name_en = value
-                    if 'building:' in key or 'pay' in key :
-                        landmark.n_tags -= 1
-
-                    # Set the duration.
-                    if value in ['museum', 'aquarium', 'planetarium'] :
-                        landmark.duration = 60
-                    elif value == 'viewpoint' :
-                        landmark.is_viewpoint = True
-                        landmark.duration = 10
-                    elif value == 'cathedral' :
-                        landmark.is_place_of_worship = False
-                        landmark.duration = 10
-
-                else:
-                    self.set_landmark_score(landmark, landmarktype, preference_level)
-                    landmarks.append(landmark)
+            id, coords, name = get_base_info(elem, osm_type, with_name=True)
 
+            if name is None or coords is None :
                 continue
 
+            tags = elem.get('tags')
+
+            # Convert this to Landmark object
+            landmark = Landmark(name=name,
+                                type=landmarktype,
+                                location=coords,
+                                osm_id=id,
+                                osm_type=osm_type,
+                                attractiveness=0,
+                                n_tags=len(tags))
+
+            # Browse through tags to add information to landmark.
+            for key, value in tags.items():
+
+                # Skip this landmark if not suitable.
+                if key == 'building:part' and value == 'yes' :
+                    break
+                if 'disused:' in key :
+                    break
+                if 'boundary:' in key :
+                    break
+                if 'shop' in key and landmarktype != 'shopping' :
+                    break
+                # if value == 'apartments' :
+                #     break
+
+                # Fill in the other attributes.
+                if key == 'image' :
+                    landmark.image_url = value
+                if key == 'website' :
+                    landmark.website_url = value
+                if value == 'place_of_worship' :
+                    landmark.is_place_of_worship = True
+                if key == 'wikipedia' :
+                    landmark.wiki_url = value
+                if key == 'name:en' :
+                    landmark.name_en = value
+                if 'building:' in key or 'pay' in key :
+                    landmark.n_tags -= 1
+
+
+                # Set the duration.
+                if value in ['museum', 'aquarium', 'planetarium'] :
+                    landmark.duration = 60
+                elif value == 'viewpoint' :
+                    landmark.is_viewpoint = True
+                    landmark.duration = 10
+                elif value == 'cathedral' :
+                    landmark.is_place_of_worship = False
+                    landmark.duration = 10
+
+            landmark.description, landmark.keywords = self.description_and_keywords(tags)
+            self.set_landmark_score(landmark, landmarktype, preference_level)
+            landmarks.append(landmark)
+
+            continue
+
+
         return landmarks
 
+
+    def description_and_keywords(self, tags: dict):
+        """
+        Generates a description and a set of keywords for a given landmark based on its tags.
+
+        Params:
+            tags (dict): A dictionary containing metadata about the landmark, including its name,
+                    importance, height, date of construction, and visitor information.
+
+        Returns:
+            description (str): A string description of the landmark.
+            keywords (dict): A dictionary of keywords with fields such as 'importance', 'height',
+                        'place_type', and 'date'.
+        """
+        # Extract relevant fields
+        name = tags.get('name')
+        importance = tags.get('importance', None)
+        n_visitors = tags.get('tourism:visitors', None)
+        height = tags.get('height')
+        place_type = self.get_place_type(tags)
+        date = self.get_date(tags)
+
+        if place_type is None :
+            return None, None
+
+        # Start the description.
+        if importance is None :
+            if len(tags.keys()) < 5 :
+                return None, None
+            if len(tags.keys()) < 10 :
+                description = f"{name} is a well known {place_type}."
+            elif len(tags.keys()) < 17 :
+                importance = 'national'
+                description = f"{name} is a {place_type} of national importance."
+            else :
+                importance = 'international'
+                description = f"{name} is an internationally famous {place_type}."
+        else :
+            description = f"{name} is a {place_type} of {importance} importance."
+
+        if height is not None and date is not None :
+            description += f" This {place_type} was constructed in {date} and is ca. {height} meters high."
+        elif height is not None :
+            description += f" This {place_type} stands ca. {height} meters tall."
+        elif date is not None:
+            description += f" It was constructed in {date}."
+
+        # Format the visitor number
+        if n_visitors is not None :
+            n_visitors = int(n_visitors)
+            if n_visitors < 1000000 :
+                description += f" It welcomes {int(n_visitors/1000)} thousand visitors every year."
+            else :
+                description += f" It welcomes {round(n_visitors/1000000, 1)} million visitors every year."
+
+        # Set the keywords.
+        keywords = {"importance": importance,
+                    "height": height,
+                    "place_type": place_type,
+                    "date": date}
+
+        return description, keywords
+
+
+    def get_place_type(self, data):
+        """
+        Determines the type of the place based on available tags such as 'amenity', 'building',
+        'historic', and 'leisure'. The priority order is: 'historic' > 'building' (if not generic) > 
+        'amenity' > 'leisure'.
+
+        Params:
+            data (dict): A dictionary containing metadata about the place.
+
+        Returns:
+            place_type (str): The determined type of the place, or None if no relevant type is found.
+        """
+        amenity = data.get('amenity', None)
+        building = data.get('building', None)
+        historic = data.get('historic', None)
+        leisure = data.get('leisure')
+
+        if historic and historic != "yes":
+            return historic
+        if building and building not in ["yes", "civic", "government", "apartments", "residential", "commericial", "industrial", "retail", "religious", "public", "service"]:
+            return building
+        if amenity:
+            return amenity
+        if leisure:
+            return leisure
+
+
+        return None
+
+
+    def get_date(self, data):
+        """
+        Extracts the most relevant date from the available tags, prioritizing 'construction_date',
+        'start_date', 'year_of_construction', and 'opening_date' in that order.
+
+        Params:
+            data (dict): A dictionary containing metadata about the place.
+
+        Returns:
+            date (str): The most relevant date found, or None if no date is available.
+        """
+        construction_date = data.get('construction_date', None)
+        opening_date = data.get('opening_date', None)
+        start_date = data.get('start_date', None)
+        year_of_construction = data.get('year_of_construction', None)
+
+        # Prioritize based on availability
+        if construction_date:
+            return construction_date
+        if start_date:
+            return start_date
+        if year_of_construction:
+            return year_of_construction
+        if opening_date:
+            return opening_date
+
+        return None
+
+
 def dict_to_selector_list(d: dict) -> list:
     """
     Convert a dictionary of key-value pairs to a list of Overpass query strings.

backend/src/main.py

@@ -1,21 +1,22 @@
 """Main app for backend api"""
-
 import logging
 import time
 from contextlib import asynccontextmanager
-from fastapi import FastAPI, HTTPException, Query
+from fastapi import FastAPI, HTTPException, BackgroundTasks
 
 from .logging_config import configure_logging
-from .structs.landmark import Landmark, Toilets
+from .structs.landmark import Landmark
 from .structs.preferences import Preferences
 from .structs.linked_landmarks import LinkedLandmarks
 from .structs.trip import Trip
-from .utils.landmarks_manager import LandmarkManager
-from .utils.toilets_manager import ToiletsManager
+from .landmarks.landmarks_manager import LandmarkManager
+from .toilets.toilet_routes import router as toilets_router
 from .optimization.optimizer import Optimizer
 from .optimization.refiner import Refiner
+from .overpass.overpass import fill_cache
 from .cache import client as cache_client
 
+
 logger = logging.getLogger(__name__)
 
 manager = LandmarkManager()
@@ -36,10 +37,14 @@ app = FastAPI(lifespan=lifespan)
 
 
 
+app.include_router(toilets_router)
+
+
 @app.post("/trip/new")
 def new_trip(preferences: Preferences,
              start: tuple[float, float],
-             end: tuple[float, float] | None = None) -> Trip:
+             end: tuple[float, float] | None = None,
+             background_tasks: BackgroundTasks = None) -> Trip:
     """
     Main function to call the optimizer.
 
@@ -64,6 +69,8 @@ def new_trip(preferences: Preferences,
         end = start
         logger.info("No end coordinates provided. Using start=end.")
 
+    logger.info(f"Requested new trip generation. Details:\n\tCoordinates: {start}\n\tTime: {preferences.max_time_minute}\n\tSightseeing: {preferences.sightseeing.score}\n\tNature: {preferences.nature.score}\n\tShopping: {preferences.shopping.score}")
+
     start_landmark = Landmark(name='start',
                               type='start',
                               location=(start[0], start[1]),
@@ -85,12 +92,16 @@ def new_trip(preferences: Preferences,
                             n_tags=0)
 
     start_time = time.time()
+
     # Generate the landmarks from the start location
     landmarks, landmarks_short = manager.generate_landmarks_list(
         center_coordinates = start,
         preferences = preferences
     )
 
+    if len(landmarks) == 0 :
+        raise HTTPException(status_code=500, detail="No landmarks were found.")
+
     # insert start and finish to the landmarks list
     landmarks_short.insert(0, start_landmark)
     landmarks_short.append(end_landmark)
@@ -103,6 +114,7 @@ def new_trip(preferences: Preferences,
     try:
         base_tour = optimizer.solve_optimization(preferences.max_time_minute, landmarks_short)
     except Exception as exc:
+        logger.error(f"Trip generation failed: {str(exc)}")
         raise HTTPException(status_code=500, detail=f"Optimization failed: {str(exc)}") from exc
 
     t_first_stage = time.time() - start_time
@@ -115,18 +127,23 @@ def new_trip(preferences: Preferences,
                                                preferences.max_time_minute,
                                                preferences.detour_tolerance_minute)
     except Exception as exc :
-        raise HTTPException(status_code=500, detail=f"An unexpected error occurred: {str(exc)}") from exc
+        logger.warning(f"Refiner failed. Proceeding with base trip {str(exc)}")
+        refined_tour = base_tour
 
     t_second_stage = time.time() - start_time
 
     logger.debug(f'First stage optimization\t: {round(t_first_stage,3)} seconds')
     logger.debug(f'Second stage optimization\t: {round(t_second_stage,3)} seconds')
     logger.info(f'Total computation time\t: {round(t_first_stage + t_second_stage,3)} seconds')
-
     linked_tour = LinkedLandmarks(refined_tour)
+
     # upon creation of the trip, persistence of both the trip and its landmarks is ensured.
     trip = Trip.from_linked_landmarks(linked_tour, cache_client)
     logger.info(f'Generated a trip of {trip.total_time} minutes with {len(refined_tour)} landmarks in {round(t_generate_landmarks + t_first_stage + t_second_stage,3)} seconds.')
+    logger.debug('Detailed trip :\n\t' + '\n\t'.join(f'{landmark}' for landmark in refined_tour))
+
+    background_tasks.add_task(fill_cache)
+
     return trip
 
 
@@ -146,6 +163,7 @@ def get_trip(trip_uuid: str) -> Trip:
         trip = cache_client.get(f"trip_{trip_uuid}")
         return trip
     except KeyError as exc:
+        logger.error(f"Failed to fetch trip with UUID {trip_uuid}: {str(exc)}")
         raise HTTPException(status_code=404, detail="Trip not found") from exc
 
 
@@ -164,32 +182,45 @@ def get_landmark(landmark_uuid: str) -> Landmark:
         landmark = cache_client.get(f"landmark_{landmark_uuid}")
         return landmark
     except KeyError as exc:
+        logger.error(f"Failed to fetch landmark with UUID {landmark_uuid}: {str(exc)}")
         raise HTTPException(status_code=404, detail="Landmark not found") from exc
 
 
-@app.post("/toilets/new")
-def get_toilets(location: tuple[float, float] = Query(...), radius: int = 500) -> list[Toilets] :
+@app.post("/trip/recompute-time/{trip_uuid}/{removed_landmark_uuid}")
+def update_trip_time(trip_uuid: str, removed_landmark_uuid: str) -> Trip:
     """
-    Endpoint to find toilets within a specified radius from a given location.
-
-    This endpoint expects the `location` and `radius` as **query parameters**, not in the request body.
+    Updates the reaching times of a given trip when removing a landmark.
 
     Args:
-        location (tuple[float, float]): The latitude and longitude of the location to search from.
-        radius (int, optional): The radius (in meters) within which to search for toilets. Defaults to 500 meters.
+        landmark_uuid (str) : unique identifier for a Landmark.
 
     Returns:
-        list[Toilets]: A list of Toilets objects that meet the criteria.
+        (Landmark)          : the corresponding Landmark.
     """
-    if location is None:
-        raise HTTPException(status_code=406, detail="Coordinates not provided or invalid")
-    if not (-90 <= location[0] <= 90 or -180 <= location[1] <= 180):
-        raise HTTPException(status_code=422, detail="Start coordinates not in range")
-
-    toilets_manager = ToiletsManager(location, radius)
-
-    try :
-        toilets_list = toilets_manager.generate_toilet_list()
-        return toilets_list
+    # First, fetch the trip in the cache.
+    try:
+        trip = cache_client.get(f'trip_{trip_uuid}')
     except KeyError as exc:
-        raise HTTPException(status_code=404, detail="No toilets found") from exc
+        logger.error(f"Failed to update trip with UUID {trip_uuid} (trip not found): {str(exc)}")
+        raise HTTPException(status_code=404, detail='Trip not found') from exc
+
+    landmarks = []
+    next_uuid = trip.first_landmark_uuid
+
+    # Extract landmarks
+    try :
+        while next_uuid is not None:
+            landmark = cache_client.get(f'landmark_{next_uuid}')
+            # Filter out the removed landmark.
+            if next_uuid != removed_landmark_uuid :
+                landmarks.append(landmark)
+            next_uuid = landmark.next_uuid  # Prepare for the next iteration
+    except KeyError as exc:
+        logger.error(f"Failed to update trip with UUID {trip_uuid} : {str(exc)}")
+        raise HTTPException(status_code=404, detail=f'landmark {next_uuid} not found') from exc
+
+    # Re-link every thing and compute times again
+    linked_tour = LinkedLandmarks(landmarks)
+    trip = Trip.from_linked_landmarks(linked_tour, cache_client)
+
+    return trip

backend/src/optimization/optimizer.py

@@ -55,6 +55,9 @@ class Optimizer:
             self.average_walking_speed = parameters['average_walking_speed']
             self.max_landmarks = parameters['max_landmarks']
             self.overshoot = parameters['overshoot']
+            self.time_limit = parameters['time_limit']
+            self.gap_rel = parameters['gap_rel']
+            self.max_iter = parameters['max_iter']
 
 
     def init_ub_time(self, prob: pl.LpProblem, x: pl.LpVariable, L: int, landmarks: list[Landmark], max_time: int):
@@ -254,7 +257,6 @@ class Optimizer:
         Returns:
             None: This function modifies the `prob` object by adding L-2 equality constraints in-place.
         """
-        # FIXME: weird 0 artifact in the coefficients popping up
         # Loop through rows 1 to L-2 to prevent stacked ones
         for i in range(1, L-1):
             # Add the constraint that sums across each "row" or "block" in the decision variables
@@ -490,10 +492,21 @@ class Optimizer:
 
 
     def warm_start(self, x: list[pl.LpVariable], L: int) :
+        """
+        This function sets the initial values of the decision variables to a feasible solution.
+        This can help the solver start with a feasible or heuristic solution,
+        potentially speeding up convergence.
 
+        Args:
+        x (list[pl.LpVariable]): A list of PuLP decision variables (binary variables).
+        L (int): The size parameter, representing a dimension (likely related to a grid or matrix).
+
+        Returns:
+        list[pl.LpVariable]: The modified list of PuLP decision variables with initial values set.
+        """
         for i in range(L*L) :
             x[i].setInitialValue(0)
-            
+
         x[1].setInitialValue(1)
         x[2*L-1].setInitialValue(1)
 
@@ -573,37 +586,44 @@ class Optimizer:
         prob, x = self.pre_processing(L, landmarks, max_time, max_landmarks)
 
         # Solve the problem and extract results.
-        prob.solve(pl.PULP_CBC_CMD(msg=False, gapRel=0.1, timeLimit=10, warmStart=False))
+        try :
+            prob.solve(pl.PULP_CBC_CMD(msg=False, timeLimit=self.time_limit+1, gapRel=self.gap_rel))
+        except Exception as exc :
+            raise Exception(f"No solution found: {str(exc)}") from exc
         status = pl.LpStatus[prob.status]
         solution = [pl.value(var) for var in x]  # The values of the decision variables (will be 0 or 1)
 
-        self.logger.debug("First results are out. Looking out for circles and correcting.")
+        self.logger.debug("First results are out. Looking out for circles and correcting...")
 
         # Raise error if no solution is found. FIXME: for now this throws the internal server error
         if status != 'Optimal' :
-            self.logger.error("The problem is overconstrained, no solution on first try.")
+            self.logger.warning("The problem is overconstrained, no solution on first try.")
             raise ArithmeticError("No solution could be found. Please try again with more time or different preferences.")
 
         # If there is a solution, we're good to go, just check for connectiveness
         circles = self.is_connected(solution)
 
         i = 0
-        timeout = 40
         while circles is not None :
             i += 1
-            if i == timeout :
-                self.logger.error(f'Timeout: No solution found after {timeout} iterations.')
-                raise TimeoutError(f"Optimization took too long. No solution found after {timeout} iterations.")
+            if i == self.max_iter :
+                self.logger.warning(f'Timeout: No solution found after {self.max_iter} iterations.')
+                raise TimeoutError(f"Optimization took too long. No solution found after {self.max_iter} iterations.")
 
             for circle in circles :
                 self.prevent_circle(prob, x, circle, L)
 
             # Solve the problem again
-            prob.solve(pl.PULP_CBC_CMD(msg=False))
+            try :
+                prob.solve(pl.PULP_CBC_CMD(msg=False, timeLimit=self.time_limit, gapRel=self.gap_rel))
+            except Exception as exc :
+                self.logger.warning("No solution found: {str(exc)")
+                raise Exception(f"No solution found: {str(exc)}") from exc
+
             solution = [pl.value(var) for var in x]
 
             if pl.LpStatus[prob.status] != 'Optimal' :
-                self.logger.error("The problem is overconstrained, no solution after {i} cycles.")
+                self.logger.warning("The problem is overconstrained, no solution after {i} cycles.")
                 raise ArithmeticError("No solution could be found. Please try again with more time or different preferences.")
 
             circles = self.is_connected(solution)
@@ -614,5 +634,5 @@ class Optimizer:
         order = self.get_order(solution)
         tour =  [landmarks[i] for i in order]
 
-        self.logger.debug(f"Re-optimized {i} times, objective value : {int(pl.value(prob.objective))}")
+        self.logger.info(f"Re-optimized {i} times, objective value : {int(pl.value(prob.objective))}")
         return tour

backend/src/optimization/refiner.py

@@ -278,7 +278,7 @@ class Refiner :
             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 : 
+            FIXED : ERROR HERE : 
                 Exception has occurred: AttributeError
                 'LineString' object has no attribute 'exterior'
             """
@@ -356,7 +356,7 @@ class 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.")
+            self.logger.warning("Refiner failed: No solution found during second stage optimization.")
             new_tour = base_tour
 
         # If only one landmark, return it.
@@ -369,6 +369,7 @@ class Refiner :
         # 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 :
+            self.logger.debug("Tours might be funky, attempting to correct with polygons")
             better_tour = self.fix_using_polygon(better_tour)
 
         return better_tour

backend/src/overpass/caching_strategy.py

@@ -1,9 +1,9 @@
-"""Module defining the caching strategy for overpass requests."""
+"""Module defining the handling of cache data from Overpass requests."""
 import os
-import xml.etree.ElementTree as ET
+import json
 import hashlib
 
-from ..constants import OSM_CACHE_DIR
+from ..constants import OSM_CACHE_DIR, OSM_TYPES
 
 
 def get_cache_key(query: str) -> str:
@@ -17,10 +17,6 @@ def get_cache_key(query: str) -> str:
 class CachingStrategyBase:
     """
     Base class for implementing caching strategies.
-
-    This class defines the structure for a caching strategy with basic methods
-    that must be implemented by subclasses. Subclasses should define how to
-    retrieve, store, and close the cache.
     """
     def get(self, key):
         """Retrieve the cached data associated with the provided key."""
@@ -30,111 +26,111 @@ class CachingStrategyBase:
         """Store data in the cache with the specified key."""
         raise NotImplementedError('Subclass should implement set')
 
+    def set_hollow(self, key, **kwargs):
+        """Create a hollow (empty) cache entry with a specific key."""
+        raise NotImplementedError('Subclass should implement set_hollow')
+
     def close(self):
         """Clean up or close any resources used by the caching strategy."""
 
 
-class XMLCache(CachingStrategyBase):
+class JSONCache(CachingStrategyBase):
     """
-    A caching strategy that stores and retrieves data in XML format.
-
-    This class provides methods to cache data as XML files in a specified directory.
-    The directory is automatically suffixed with '_XML' to distinguish it from other
-    caching strategies. The data is stored and retrieved using XML serialization.
-
-    Args:
-        cache_dir (str): The base directory where XML cache files will be stored.
-                         Defaults to 'OSM_CACHE_DIR' with a '_XML' suffix.
-
-    Methods:
-        get(key): Retrieve cached data from a XML file associated with the given key.
-        set(key, value): Store data in a XML file with the specified key.
+    A caching strategy that stores and retrieves data in JSON format.
     """
     def __init__(self, cache_dir=OSM_CACHE_DIR):
         # Add the class name as a suffix to the directory
-        self._cache_dir = f'{cache_dir}_XML'
+        self._cache_dir = f'{cache_dir}'
         if not os.path.exists(self._cache_dir):
             os.makedirs(self._cache_dir)
 
     def _filename(self, key):
-        return os.path.join(self._cache_dir, f'{key}.xml')
+        return os.path.join(self._cache_dir, f'{key}.json')
 
     def get(self, key):
-        """Retrieve XML data from the cache and parse it as an ElementTree."""
+        """Retrieve JSON data from the cache and parse it as an ElementTree."""
         filename = self._filename(key)
         if os.path.exists(filename):
             try:
-                # Parse and return the cached XML data
-                tree = ET.parse(filename)
-                return tree.getroot()  # Return the root element of the parsed XML
-            except ET.ParseError:
-                # print(f"Error parsing cached XML file: {filename}")
-                return None
+                # Open and parse the cached JSON data
+                with open(filename, 'r', encoding='utf-8') as file:
+                    data = json.load(file)
+                # Return the data as a list of dicts.
+                return data
+            except json.JSONDecodeError:
+                return None  # Return None if parsing fails
         return None
 
     def set(self, key, value):
-        """Save the XML data as an ElementTree to the cache."""
+        """Save the JSON data in the cache."""
         filename = self._filename(key)
-        tree = ET.ElementTree(value)  # value is expected to be an ElementTree root element
         try:
-            # Write the XML data to a file
-            with open(filename, 'wb') as file:
-                tree.write(file, encoding='utf-8', xml_declaration=True)
+            # Write the JSON data to the cache file
+            with open(filename, 'w', encoding='utf-8') as file:
+                json.dump(value, file, ensure_ascii=False, indent=4)
         except IOError as e:
             raise IOError(f"Error writing to cache file: {filename} - {e}") from e
 
+    def set_hollow(self, key, cell: tuple, osm_types: list,
+                    selector: str, conditions: list=None, out='center'):
+        """Create an empty placeholder cache entry for a future fill."""
+        hollow_key = f'hollow_{key}'
+        filename = self._filename(hollow_key)
+
+        # Create the hollow JSON structure
+        hollow_data = {
+            "key": key,
+            "cell": list(cell),
+            "osm_types": list(osm_types),
+            "selector": selector,
+            "conditions": conditions,
+            "out": out
+        }
+        # Write the hollow data to the cache file
+        try:
+            with open(filename, 'w', encoding='utf-8') as file:
+                json.dump(hollow_data, file, ensure_ascii=False, indent=4)
+        except IOError as e:
+            raise IOError(f"Error writing hollow cache to file: {filename} - {e}") from e
+
+    def close(self):
+        """Cleanup method, if needed."""
+
 
 class CachingStrategy:
     """
     A class to manage different caching strategies.
-
-    This class provides an interface to switch between different caching strategies 
-    (e.g., XMLCache, JSONCache) dynamically. It allows caching data in different formats, 
-    depending on the strategy being used. By default, it uses the XMLCache strategy.
-
-    Attributes:
-    __strategy (CachingStrategyBase): The currently active caching strategy.
-    __strategies (dict): A mapping between strategy names (as strings) and their corresponding
-                         classes, allowing dynamic selection of caching strategies.
     """
-    __strategy = XMLCache()  # Default caching strategy
+    __strategy = JSONCache()  # Default caching strategy
     __strategies = {
-        'XML': XMLCache,
+        'JSON': JSONCache,
     }
 
     @classmethod
-    def use(cls, strategy_name='XML', **kwargs):
-        """
-        Set the caching strategy based on the strategy_name provided.
-
-        Args:
-            strategy_name (str): The name of the caching strategy (e.g., 'XML').
-            **kwargs: Additional keyword arguments to pass when initializing the strategy.
-        """
-        # If a previous strategy exists, close it
+    def use(cls, strategy_name='JSON', **kwargs):
+        """Define the caching strategy to use."""
         if cls.__strategy:
             cls.__strategy.close()
 
-        # Retrieve the strategy class based on the strategy name
         strategy_class = cls.__strategies.get(strategy_name)
-
         if not strategy_class:
             raise ValueError(f"Unknown caching strategy: {strategy_name}")
 
-        # Instantiate the new strategy with the provided arguments
         cls.__strategy = strategy_class(**kwargs)
         return cls.__strategy
 
     @classmethod
     def get(cls, key):
-        """Get data from the current strategy's cache."""
-        if not cls.__strategy:
-            raise RuntimeError("Caching strategy has not been set.")
+        """Get the data from the cache."""
         return cls.__strategy.get(key)
 
     @classmethod
     def set(cls, key, value):
-        """Set data in the current strategy's cache."""
-        if not cls.__strategy:
-            raise RuntimeError("Caching strategy has not been set.")
+        """Save the data in the cache."""
         cls.__strategy.set(key, value)
+
+    @classmethod
+    def set_hollow(cls, key, cell: tuple, osm_types: OSM_TYPES,
+                    selector: str, conditions: list=None, out='center'):
+        """Create a hollow cache entry."""
+        cls.__strategy.set_hollow(key, cell, osm_types, selector, conditions, out)

backend/src/overpass/overpass.py

@@ -1,14 +1,18 @@
 """Module allowing connexion to overpass api and fectch data from OSM."""
-from typing import Literal, List
+import os
+import time
 import urllib
+import math
 import logging
-import xml.etree.ElementTree as ET
+import json
+from typing import List, Tuple
 
 from .caching_strategy import get_cache_key, CachingStrategy
-from ..constants import OSM_CACHE_DIR
+from ..constants import OSM_CACHE_DIR, OSM_TYPES, BBOX
 
-logger = logging.getLogger('Overpass')
-osm_types = List[Literal['way', 'node', 'relation']]
+
+RESOLUTION = 0.05
+CELL = Tuple[int, int]
 
 
 class Overpass :
@@ -16,7 +20,10 @@ class Overpass :
     Overpass class to manage the query building and sending to overpass api.
     The caching strategy is a part of this class and initialized upon creation of the Overpass object.
     """
-    def __init__(self, caching_strategy: str = 'XML', cache_dir: str = OSM_CACHE_DIR) :
+    logger = logging.getLogger(__name__)
+
+
+    def __init__(self, caching_strategy: str = 'JSON', cache_dir: str = OSM_CACHE_DIR) :
         """
         Initialize the Overpass instance with the url, headers and caching strategy.
         """
@@ -25,17 +32,110 @@ class Overpass :
         self.caching_strategy = CachingStrategy.use(caching_strategy, cache_dir=cache_dir)
 
 
-    @classmethod
-    def build_query(self, area: tuple, osm_types: osm_types,
-                    selector: str, conditions=[], out='center') -> str:
+    def send_query(self, bbox: BBOX, osm_types: OSM_TYPES,
+                    selector: str, conditions: list=None, out='center') -> List[dict]:
+        """
+        Sends the Overpass QL query to the Overpass API and returns the parsed json response.
+
+        Args:
+            bbox (tuple): Bounding box for the query.
+            osm_types (list[str]): List of OSM element types (e.g., 'node', 'way').
+            selector (str): Key or tag to filter OSM elements (e.g., 'highway').
+            conditions (list): Optional list of additional filter conditions in Overpass QL format.
+            out (str): Output format ('center', 'body', etc.). Defaults to 'center'.
+
+        Returns:
+            list:   Parsed json response from the Overpass API, or cached data if available.
+        """
+        # Determine which grid cells overlap with this bounding box.
+        overlapping_cells = Overpass._get_overlapping_cells(bbox)
+
+        # Retrieve cached data and identify missing cache entries
+        cached_responses, non_cached_cells = self._retrieve_cached_data(overlapping_cells, osm_types, selector, conditions, out)
+
+        self.logger.debug(f'Cache hit for {len(overlapping_cells)-len(non_cached_cells)}/{len(overlapping_cells)} quadrants.')
+
+        # If there is no missing data, return the cached responses after filtering.
+        if not non_cached_cells :
+            return Overpass._filter_landmarks(cached_responses, bbox)
+
+        # If there is no cached data, fetch all from Overpass.
+        if not cached_responses :
+            query_str = Overpass.build_query(bbox, osm_types, selector, conditions, out)
+            self.logger.debug(f'Query string: {query_str}')
+            return self.fetch_data_from_api(query_str)
+
+        # Resize the bbox for smaller search area and build new query string.
+        non_cached_bbox = Overpass._get_non_cached_bbox(non_cached_cells, bbox)
+        query_str = Overpass.build_query(non_cached_bbox, osm_types, selector, conditions, out)
+        self.logger.debug(f'Query string: {query_str}')
+        non_cached_responses = self.fetch_data_from_api(query_str)
+        return Overpass._filter_landmarks(cached_responses, bbox) + non_cached_responses
+
+
+    def fetch_data_from_api(self, query_str: str) -> List[dict]:
+        """
+        Fetch data from the Overpass API and return the json data.
+
+        Args:
+            query_str (str): The Overpass query string.
+
+        Returns:
+            dict: Combined cached and fetched data.
+        """
+        try:
+            data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
+            request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
+
+            with urllib.request.urlopen(request) as response:
+                response_data = response.read().decode('utf-8')  # Convert the HTTPResponse to a string
+                data = json.loads(response_data)  # Load the JSON from the string
+                elements = data.get('elements', [])
+                # self.logger.debug(f'Query = {query_str}')
+                return elements
+
+        except urllib.error.URLError as e:
+            self.logger.error(f"Error connecting to Overpass API: {str(e)}")
+            raise ConnectionError(f"Error connecting to Overpass API: {str(e)}") from e
+        except Exception as exc :
+            self.logger.error(f"unexpected error while fetching data from Overpass: {str(exc)}")
+            raise Exception(f'An unexpected error occured: {str(exc)}') from exc
+
+
+    def fill_cache(self, json_data: dict) :
+        """
+        Fill cache with data by using a hollow cache entry's information.
+        """
+        query_str, cache_key = Overpass._build_query_from_hollow(json_data)
+        try:
+            data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
+            request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
+
+            with urllib.request.urlopen(request) as response:
+
+                # Convert the HTTPResponse to a string and load data
+                response_data = response.read().decode('utf-8')
+                data = json.loads(response_data)
+
+                # Get elements and set cache
+                elements = data.get('elements', [])
+                self.caching_strategy.set(cache_key, elements)
+                self.logger.debug(f'Cache set for {cache_key}')
+        except urllib.error.URLError as e:
+            raise ConnectionError(f"Error connecting to Overpass API: {str(e)}") from e
+        except Exception as exc :
+            raise Exception(f'An unexpected error occured: {str(exc)}') from exc
+
+
+    @staticmethod
+    def build_query(bbox: BBOX, osm_types: OSM_TYPES,
+                    selector: str, conditions: list=None, out='center') -> str:
         """
         Constructs a query string for the Overpass API to retrieve OpenStreetMap (OSM) data.
 
         Args:
-            area (tuple): A tuple representing the geographical search area, typically in the format 
-                        (radius, latitude, longitude). The first element is a string like "around:2000" 
-                        specifying the search radius, and the second and third elements represent 
-                        the latitude and longitude as floats or strings.
+            bbox (tuple): A tuple representing the geographical search area, typically in the format 
+                        (lat_min, lon_min, lat_max, lon_max).
             osm_types (list[str]): A list of OSM element types to search for. Must be one or more of 
                                     'Way', 'Node', or 'Relation'.
             selector (str): The key or tag to filter the OSM elements (e.g., 'amenity', 'highway', etc.).
@@ -52,82 +152,203 @@ class Overpass :
         Notes:
             - If no conditions are provided, the query will just use the `selector` to filter the OSM 
             elements without additional constraints.
-            - The search area must always formatted as "(radius, lat, lon)".
         """
-        if not isinstance(conditions, list) :
-            conditions = [conditions]
-        if not isinstance(osm_types, list) :
-            osm_types = [osm_types]
+        query = '[out:json][timeout:20];('
 
-        query = '('
+        # convert the bbox to string.
+        bbox_str = f"({','.join(map(str, bbox))})"
 
-        # Round the radius to nearest 50 and coordinates to generate less queries
-        if area[0] > 500 :
-            search_radius = round(area[0] / 50) * 50
-            loc = tuple((round(area[1], 2), round(area[2], 2)))
-        else :
-            search_radius = round(area[0] / 25) * 25
-            loc = tuple((round(area[1], 3), round(area[2], 3)))
-
-        search_area = f"(around:{search_radius}, {str(loc[0])}, {str(loc[1])})"
-
-        if conditions :
+        if conditions is not None and len(conditions) > 0:
             conditions = '(if: ' + ' && '.join(conditions) + ')'
         else :
             conditions = ''
 
         for elem in osm_types :
-            query += elem + '[' + selector + ']' + conditions + search_area + ';'
+            query += elem + '[' + selector + ']' + conditions + bbox_str + ';'
 
         query += ');' + f'out {out};'
 
         return query
 
 
-    def send_query(self, query: str) -> ET:
+    def _retrieve_cached_data(self, overlapping_cells: CELL, osm_types: OSM_TYPES,
+                              selector: str, conditions: list, out: str) -> Tuple[List[dict], list[CELL]]:
         """
-        Sends the Overpass QL query to the Overpass API and returns the parsed JSON response.
+        Retrieve cached data and identify missing cache quadrants.
 
         Args:
-            query (str): The Overpass QL query to be sent to the Overpass API.
+            overlapping_cells (list): Cells to check for cached data.
+            osm_types (list): OSM types (e.g., 'node', 'way').
+            selector (str): Key or tag to filter OSM elements.
+            conditions (list): Additional conditions to apply.
+            out (str): Output format.
 
         Returns:
-            dict: The parsed JSON response from the Overpass API, or None if the request fails.
+            tuple: A tuple containing:
+                - cached_responses (list): List of cached data found.
+                - non_cached_cells (list(tuple)): List of cells with missing data.
+        """
+        cell_key_dict = {}
+        for cell in overlapping_cells :
+            for elem in osm_types :
+                key_str = f"{elem}[{selector}]{conditions}({','.join(map(str, cell))})"
+
+            cell_key_dict[cell] = get_cache_key(key_str)
+
+        cached_responses = []
+        non_cached_cells = []
+
+        # Retrieve the cached data and mark the missing entries as hollow
+        for cell, key in cell_key_dict.items():
+            cached_data = self.caching_strategy.get(key)
+            if cached_data is not None :
+                cached_responses += cached_data
+            else:
+                self.caching_strategy.set_hollow(key, cell, osm_types, selector, conditions, out)
+                non_cached_cells.append(cell)
+
+        return cached_responses, non_cached_cells
+
+
+    @staticmethod
+    def _build_query_from_hollow(json_data: dict) -> Tuple[str, str]:
+        """
+        Build query string using information from a hollow cache entry.
+        """
+        # Extract values from the JSON object
+        key = json_data.get('key')
+        cell = tuple(json_data.get('cell'))
+        bbox = Overpass._get_bbox_from_grid_cell(cell)
+        osm_types = json_data.get('osm_types')
+        selector = json_data.get('selector')
+        conditions = json_data.get('conditions')
+        out = json_data.get('out')
+
+
+        query_str = Overpass.build_query(bbox, osm_types, selector, conditions, out)
+        return query_str, key
+
+
+    @staticmethod
+    def _get_overlapping_cells(query_bbox: tuple) -> List[CELL]:
+        """
+        Returns a set of all grid cells that overlap with the given bounding box.
+        """
+        # Extract location from the query bbox
+        lat_min, lon_min, lat_max, lon_max = query_bbox
+
+        min_lat_cell, min_lon_cell = Overpass._get_grid_cell(lat_min, lon_min)
+        max_lat_cell, max_lon_cell = Overpass._get_grid_cell(lat_max, lon_max)
+
+        overlapping_cells = set()
+        for lat_idx in range(min_lat_cell, max_lat_cell + 1):
+            for lon_idx in range(min_lon_cell, max_lon_cell + 1):
+                overlapping_cells.add((lat_idx, lon_idx))
+
+        return overlapping_cells
+
+
+    @staticmethod
+    def _get_grid_cell(lat: float, lon: float) -> CELL:
+        """
+        Returns the grid cell coordinates for a given latitude and longitude.
+        Each grid cell is 0.05°lat x 0.05°lon resolution in size.
+        """
+        lat_index = math.floor(lat / RESOLUTION)
+        lon_index = math.floor(lon / RESOLUTION)
+        return (lat_index, lon_index)
+
+
+    @staticmethod
+    def _get_bbox_from_grid_cell(cell: CELL) -> BBOX:
+        """
+        Returns the bounding box for a given grid cell index.
+        Each grid cell is resolution x resolution in size.
+
+        The bounding box is returned as (min_lat, min_lon, max_lat, max_lon).
+        """
+        # Calculate the southwest (min_lat, min_lon) corner of the bounding box
+        min_lat = round(cell[0] * RESOLUTION, 2)
+        min_lon = round(cell[1] * RESOLUTION, 2)
+
+        # Calculate the northeast (max_lat, max_lon) corner of the bounding box
+        max_lat = round((cell[0] + 1) * RESOLUTION, 2)
+        max_lon = round((cell[1] + 1) * RESOLUTION, 2)
+
+        return (min_lat, min_lon, max_lat, max_lon)
+
+
+    @staticmethod
+    def _get_non_cached_bbox(non_cached_cells: List[CELL], original_bbox: BBOX):
+        """
+        Calculate the non-cached bounding box by excluding cached cells.
+
+        Args:
+            non_cached_cells (list): The list of cells that were not found in the cache.
+            original_bbox (tuple): The original bounding box (min_lat, min_lon, max_lat, max_lon).
+
+        Returns:
+            tuple: The new bounding box that excludes cached cells, or None if all cells are cached.
+        """
+        if not non_cached_cells:
+            return None  # All cells were cached
+
+        # Initialize the non-cached bounding box with extreme values
+        min_lat, min_lon, max_lat, max_lon = float('inf'), float('inf'), float('-inf'), float('-inf')
+
+        # Iterate over non-cached cells to find the new bounding box
+        for cell in non_cached_cells:
+            cell_min_lat, cell_min_lon, cell_max_lat, cell_max_lon = Overpass._get_bbox_from_grid_cell(cell)
+
+            min_lat = min(min_lat, cell_min_lat)
+            min_lon = min(min_lon, cell_min_lon)
+            max_lat = max(max_lat, cell_max_lat)
+            max_lon = max(max_lon, cell_max_lon)
+
+        # If no update to bounding box, return the original
+        if min_lat == float('inf') or min_lon == float('inf'):
+            return None
+
+        return (max(min_lat, original_bbox[0]),
+                max(min_lon, original_bbox[1]),
+                min(max_lat, original_bbox[2]),
+                min(max_lon, original_bbox[3]))
+
+
+    @staticmethod
+    def _filter_landmarks(elements: List[dict], bbox: BBOX) -> List[dict]:
+        """
+        Filters elements based on whether their coordinates are inside the given bbox.
+
+        Args:
+        - elements (list of dict): List of elements containing coordinates.
+        - bbox (tuple): A bounding box defined as (min_lat, min_lon, max_lat, max_lon).
+
+        Returns:
+        - list: A list of elements whose coordinates are inside the bounding box.
         """
 
-        # Generate a cache key for the current query
-        cache_key = get_cache_key(query)
+        filtered_elements = []
+        min_lat, min_lon, max_lat, max_lon = bbox
 
-        # Try to fetch the result from the cache
-        cached_response = self.caching_strategy.get(cache_key)
-        if cached_response is not None :
-            logger.debug("Cache hit.")
-            return cached_response
+        for elem in elements:
+            # Extract coordinates based on the 'type' of element
+            if elem.get('type') != 'node':
+                center = elem.get('center', {})
+                lat = float(center.get('lat', 0))
+                lon = float(center.get('lon', 0))
+            else:
+                lat = float(elem.get('lat', 0))
+                lon = float(elem.get('lon', 0))
 
-        # Prepare the data to be sent as POST request, encoded as bytes
-        data = urllib.parse.urlencode({'data': query}).encode('utf-8')
+            # Check if the coordinates fall within the given bounding box
+            if min_lat <= lat <= max_lat and min_lon <= lon <= max_lon:
+                filtered_elements.append(elem)
 
-        try:
-            # Create a Request object with the specified URL, data, and headers
-            request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
-
-            # Send the request and read the response
-            with urllib.request.urlopen(request) as response:
-                # Read and decode the response
-                response_data = response.read().decode('utf-8')
-                root = ET.fromstring(response_data)
-
-                # Cache the response data as an ElementTree root
-                self.caching_strategy.set(cache_key, root)
-                logger.debug("Response data added to cache.")
-
-                return root
-
-        except urllib.error.URLError as e:
-            raise ConnectionError(f"Error connecting to Overpass API: {e}") from e
+        return filtered_elements
 
 
-def get_base_info(elem: ET.Element, osm_type: osm_types, with_name=False) :
+def get_base_info(elem: dict, osm_type: OSM_TYPES, with_name=False) :
     """
     Extracts base information (coordinates, OSM ID, and optionally a name) from an OSM element.
 
@@ -136,7 +357,7 @@ def get_base_info(elem: ET.Element, osm_type: osm_types, with_name=False) :
     extracting coordinates either directly or from a center tag, depending on the element type.
 
     Args:
-        elem (ET.Element): The XML element representing the OSM entity.
+        elem (dict): The JSON element representing the OSM entity.
         osm_type (str): The type of the OSM entity (e.g., 'node', 'way'). If 'node', the coordinates
                         are extracted directly from the element; otherwise, from the 'center' tag.
         with_name (bool): Whether to extract and return the name of the element. If True, it attempts
@@ -150,7 +371,7 @@ def get_base_info(elem: ET.Element, osm_type: osm_types, with_name=False) :
     """
     # 1. extract coordinates
     if osm_type != 'node' :
-        center = elem.find('center')
+        center = elem.get('center')
         lat = float(center.get('lat'))
         lon = float(center.get('lon'))
 
@@ -165,7 +386,38 @@ def get_base_info(elem: ET.Element, osm_type: osm_types, with_name=False) :
 
     # 3. Extract name if specified and return
     if with_name :
-        name = elem.find("tag[@k='name']").get('v') if elem.find("tag[@k='name']") is not None else None
+        name = elem.get('tags', {}).get('name')
         return osm_id, coords, name
-    else :
-        return osm_id, coords
+
+    return osm_id, coords
+
+
+def fill_cache():
+    """
+    Scans the specified cache directory for files starting with 'hollow_' and attempts to load
+    their contents as JSON to fill the cache of the Overpass system.
+    """
+    overpass = Overpass()
+
+    n_files = 0
+    total = 0
+
+    with os.scandir(OSM_CACHE_DIR) as it:
+        for entry in it:
+            if entry.is_file() and entry.name.startswith('hollow_'):
+                total += 1
+                try :
+                    # Read the whole file content as a string
+                    with open(entry.path, 'r', encoding='utf-8') as f:
+                        # load data and fill the cache with the query and key
+                        json_data = json.load(f)
+                        overpass.fill_cache(json_data)
+                        n_files += 1
+                        time.sleep(1)
+                    # Now delete the file as the cache is filled
+                    os.remove(entry.path)
+
+                except Exception as exc :
+                    overpass.logger.error(f'An error occured while parsing file {entry.path} as .json file: {str(exc)}')
+
+    overpass.logger.info(f"Successfully filled {n_files}/{total} cache files.")

backend/src/parameters/amenity_selectors.yaml

@@ -72,6 +72,7 @@ sightseeing:
     # - castle
     # - museum
 
+
 museums:
   tourism:
     - museum

backend/src/parameters/landmark_parameters.yaml

@@ -1,12 +1,11 @@
-city_bbox_side: 7500 #m
+max_bbox_side: 4000   #m
 radius_close_to: 50
-church_coeff: 0.55
-nature_coeff: 1.4
+church_coeff: 0.75
+nature_coeff: 1.6
 overall_coeff: 10
 tag_exponent: 1.15
 image_bonus: 1.1
-viewpoint_bonus: 5
+viewpoint_bonus: 10
 wikipedia_bonus: 1.25
-name_bonus: 3
-N_important: 40
+N_important: 60
 pay_bonus: -1

backend/src/parameters/optimizer_parameters.yaml

@@ -4,3 +4,6 @@ average_walking_speed: 4.8
 max_landmarks: 10
 max_landmarks_refiner: 20
 overshoot: 0.0016
+time_limit: 1
+gap_rel: 0.025
+max_iter: 80

backend/src/structs/landmark.py

@@ -1,5 +1,4 @@
 """Definition of the Landmark class to handle visitable objects across the world."""
-
 from typing import Optional, Literal
 from uuid import uuid4, UUID
 from pydantic import BaseModel, Field
@@ -50,7 +49,8 @@ class Landmark(BaseModel) :
     image_url : Optional[str] = None
     website_url : Optional[str] = None
     wiki_url : Optional[str] = None
-    description : Optional[str] = None                          # TODO future
+    keywords: Optional[dict] = {}
+    description : Optional[str] = None
     duration : Optional[int] = 5
     name_en : Optional[str] = None
 
@@ -69,6 +69,7 @@ class Landmark(BaseModel) :
     is_viewpoint : Optional[bool] = False
     is_place_of_worship : Optional[bool] = False
 
+
     def __str__(self) -> str:
         """
         String representation of the Landmark object.
@@ -122,30 +123,3 @@ class Landmark(BaseModel) :
         return (self.uuid == value.uuid or
                 self.osm_id == value.osm_id or
                 (self.name == value.name and self.distance(value) < 0.001))
-
-
-class Toilets(BaseModel) :
-    """
-    Model for toilets. When false/empty the information is either false either not known.
-    """
-    location : tuple
-    wheelchair : Optional[bool] = False
-    changing_table : Optional[bool] = False
-    fee : Optional[bool] = False
-    opening_hours : Optional[str] = ""
-
-
-    def __str__(self) -> str:
-        """
-        String representation of the Toilets object.
-
-        Returns:
-            str: A formatted string with the toilets location.
-        """
-        return f'Toilets @{self.location}'
-
-    class Config:
-        """
-        This allows us to easily convert the model to and from dictionaries
-        """
-        from_attributes = True

backend/src/structs/toilets.py

@@ -0,0 +1,26 @@
+"""Definition of the Toilets class."""
+from typing import Optional
+from pydantic import BaseModel, ConfigDict
+
+
+class Toilets(BaseModel) :
+    """
+    Model for toilets. When false/empty the information is either false either not known.
+    """
+    location : tuple
+    wheelchair : Optional[bool] = False
+    changing_table : Optional[bool] = False
+    fee : Optional[bool] = False
+    opening_hours : Optional[str] = ""
+
+
+    def __str__(self) -> str:
+        """
+        String representation of the Toilets object.
+
+        Returns:
+            str: A formatted string with the toilets location.
+        """
+        return f'Toilets @{self.location}'
+
+    model_config = ConfigDict(from_attributes=True)

backend/src/tests/test_main.py

@@ -27,11 +27,13 @@ def test_turckheim(client, request):    # pylint: disable=redefined-outer-name
         "/trip/new",
         json={
             "preferences": {"sightseeing": {"type": "sightseeing", "score": 5},
-            "nature": {"type": "nature", "score": 5},
-            "shopping": {"type": "shopping", "score": 5},
+            "nature": {"type": "nature", "score": 0},
+            "shopping": {"type": "shopping", "score": 0},
             "max_time_minute": duration_minutes,
             "detour_tolerance_minute": 0},
             "start": [48.084588, 7.280405]
+            # "start": [45.74445023349939, 4.8222687890538865]
+            # "start": [45.75156398104873, 4.827154464827647]
             }
         )
     result = response.json()
@@ -44,18 +46,16 @@ def test_turckheim(client, request):    # pylint: disable=redefined-outer-name
     # Add details to report
     log_trip_details(request, landmarks, result['total_time'], duration_minutes)
 
-    # for elem in landmarks :
-    #     print(elem)
 
     # checks :
     assert response.status_code == 200  # check for successful planning
     assert isinstance(landmarks, list)  # check that the return type is a list
     assert len(landmarks) > 2           # check that there is something to visit
+    assert comp_time < 30, f"Computation time exceeded 30 seconds: {comp_time:.2f} seconds"
     assert duration_minutes*0.8 < result['total_time'], f"Trip too short: {result['total_time']} instead of {duration_minutes}"
     assert duration_minutes*1.2 > result['total_time'], f"Trip too long: {result['total_time']} instead of {duration_minutes}"
     # assert 2!= 3
 
-
 def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name
     """
     Test n°2 : Custom test in Lyon centre to ensure proper decision making in crowded area.
@@ -97,10 +97,9 @@ def test_bellecour(client, request) :   # pylint: disable=redefined-outer-name
     assert duration_minutes*0.8 < result['total_time'], f"Trip too short: {result['total_time']} instead of {duration_minutes}"
     assert duration_minutes*1.2 > result['total_time'], f"Trip too long: {result['total_time']} instead of {duration_minutes}"
 
-
 def test_cologne(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in Lyon centre to ensure proper decision making in crowded area.
+    Test n°3 : Custom test in Cologne to ensure proper decision making in crowded area.
     
     Args:
         client:
@@ -141,7 +140,7 @@ def test_cologne(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_strasbourg(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in Lyon centre to ensure proper decision making in crowded area.
+    Test n°4 : Custom test in Strasbourg to ensure proper decision making in crowded area.
     
     Args:
         client:
@@ -182,7 +181,7 @@ def test_strasbourg(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_zurich(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in Lyon centre to ensure proper decision making in crowded area.
+    Test n°5 : Custom test in Zurich to ensure proper decision making in crowded area.
     
     Args:
         client:
@@ -223,24 +222,24 @@ def test_zurich(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_paris(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in Paris (les Halles) centre to ensure proper decision making in crowded area.
+    Test n°6 : Custom test in Paris (les Halles) centre to ensure proper decision making in crowded area.
     
     Args:
         client:
         request:
     """
     start_time = time.time()  # Start timer
-    duration_minutes = 300
+    duration_minutes = 200
 
     response = client.post(
         "/trip/new",
         json={
             "preferences": {"sightseeing": {"type": "sightseeing", "score": 5},
-                            "nature": {"type": "nature", "score": 5},
+                            "nature": {"type": "nature", "score": 0},
                             "shopping": {"type": "shopping", "score": 5},
                             "max_time_minute": duration_minutes,
                             "detour_tolerance_minute": 0},
-            "start": [48.86248803298562, 2.346451131285925]
+            "start": [48.85468881798671, 2.3423925755998374]
             }
         )
     result = response.json()
@@ -264,7 +263,7 @@ def test_paris(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_new_york(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°2 : Custom test in New York (les Halles) centre to ensure proper decision making in crowded area.
+    Test n°7 : Custom test in New York to ensure proper decision making in crowded area.
     
     Args:
         client:
@@ -305,7 +304,7 @@ def test_new_york(client, request) :   # pylint: disable=redefined-outer-name
 
 def test_shopping(client, request) :   # pylint: disable=redefined-outer-name
     """
-    Test n°3 : Custom test in Lyon centre to ensure shopping clusters are found.
+    Test n°8 : Custom test in Lyon centre to ensure shopping clusters are found.
     
     Args:
         client:
@@ -334,8 +333,8 @@ def test_shopping(client, request) :   # pylint: disable=redefined-outer-name
     # Add details to report
     log_trip_details(request, landmarks, result['total_time'], duration_minutes)
 
-    for elem in landmarks :
-        print(elem)
+    # for elem in landmarks :
+    #     print(elem)
 
     # checks :
     assert response.status_code == 200  # check for successful planning

backend/src/tests/test_toilets.py

@@ -3,7 +3,7 @@
 from fastapi.testclient import TestClient
 import pytest
 
-from ..structs.landmark import Toilets
+from ..structs.toilets import Toilets
 from ..main import app
 
 

backend/src/tests/test_utils.py

@@ -1,7 +1,6 @@
 """Helper methods for testing."""
 import logging
 from fastapi import HTTPException
-from pydantic import ValidationError
 
 from ..structs.landmark import Landmark
 from ..cache import client as cache_client
@@ -39,7 +38,7 @@ def fetch_landmark(landmark_uuid: str):
     try:
         landmark = cache_client.get(f'landmark_{landmark_uuid}')
         if not landmark :
-            logger.warning(f'Cache miss for landmark UUID: {landmark_uuid}')
+            logger.error(f'Cache miss for landmark UUID: {landmark_uuid}')
             raise HTTPException(status_code=404, detail=f'Landmark with UUID {landmark_uuid} not found in cache.')
 
         # Validate that the fetched data is a dictionary

backend/src/toilets/toilet_routes.py

@@ -0,0 +1,38 @@
+"""Defines the endpoint for fetching toilet locations."""
+from fastapi import HTTPException, APIRouter, Query
+
+from ..structs.toilets import Toilets
+from .toilets_manager import ToiletsManager
+
+
+# Define the API router
+router = APIRouter()
+
+
+@router.post("/toilets/new")
+def get_toilets(location: tuple[float, float] = Query(...), radius: int = 500) -> list[Toilets] :
+    """
+    Endpoint to find toilets within a specified radius from a given location.
+
+    This endpoint expects the `location` and `radius` as **query parameters**, not in the request body.
+
+    Args:
+        location (tuple[float, float]): The latitude and longitude of the location to search from.
+        radius (int, optional): The radius (in meters) within which to search for toilets. Defaults to 500 meters.
+
+    Returns:
+        list[Toilets]: A list of Toilets objects that meet the criteria.
+    """
+    if location is None:
+        raise HTTPException(status_code=406, detail="Coordinates not provided or invalid")
+    if not (-90 <= location[0] <= 90 or -180 <= location[1] <= 180):
+        raise HTTPException(status_code=422, detail="Start coordinates not in range")
+
+    toilets_manager = ToiletsManager(location, radius)
+
+    try :
+        toilets_list = toilets_manager.generate_toilet_list()
+    except KeyError as exc:
+        raise HTTPException(status_code=404, detail="No toilets found") from exc
+
+    return toilets_list

backend/src/toilets/toilets_manager.py

@@ -1,10 +1,9 @@
 """Module for finding public toilets around given coordinates."""
 import logging
-import xml.etree.ElementTree as ET
 
 from ..overpass.overpass import Overpass, get_base_info
-from ..structs.landmark import Toilets
-from ..constants import OSM_CACHE_DIR
+from ..structs.toilets import Toilets
+from ..utils.bbox import create_bbox
 
 
 # silence the overpass logger
@@ -41,7 +40,7 @@ class ToiletsManager:
         self.location = location
 
         # Setup the caching in the Overpass class.
-        self.overpass = Overpass(caching_strategy='XML', cache_dir=OSM_CACHE_DIR)
+        self.overpass = Overpass()
 
 
     def generate_toilet_list(self) -> list[Toilets] :
@@ -53,73 +52,71 @@ class ToiletsManager:
         list[Toilets]: A list of `Toilets` objects containing detailed information 
                        about the toilets found around the given coordinates.
         """
-        bbox = tuple((self.radius, self.location[0], self.location[1]))
+        bbox = create_bbox(self.location, self.radius)
         osm_types = ['node', 'way', 'relation']
         toilets_list = []
 
-        query = self.overpass.build_query(
-                area = bbox,
-                osm_types = osm_types,
-                selector = '"amenity"="toilets"',
-                out = 'ids center tags'
-                )
-        self.logger.debug(f"Query: {query}")
-
+        query = Overpass.build_query(
+            bbox = bbox,
+            osm_types = osm_types,
+            selector = '"amenity"="toilets"',
+            out = 'ids center tags'
+            )
         try:
-            result = self.overpass.send_query(query)
+            result = self.overpass.fetch_data_from_api(query_str=query)
         except Exception as e:
-            self.logger.error(f"Error fetching landmarks: {e}")
+            self.logger.error(f"Error fetching toilets: {e}")
             return None
 
-        toilets_list = self.xml_to_toilets(result)
+        toilets_list = self.to_toilets(result)
 
         return toilets_list
 
 
-    def xml_to_toilets(self, root: ET.Element) -> list[Toilets]:
+    def to_toilets(self, elements: list) -> list[Toilets]:
         """
         Parse the Overpass API result and extract landmarks.
 
-        This method processes the XML root element returned by the Overpass API and 
+        This method processes the JSON elements returned by the Overpass API and 
         extracts landmarks of types 'node', 'way', and 'relation'. It retrieves 
         relevant information such as name, coordinates, and tags, and converts them 
         into Landmark objects.
 
         Args:
-        root (ET.Element): The root element of the XML response from Overpass API.
+        list (osm elements): The root element of the JSON response from Overpass API.
         elem_type (str): The type of landmark (e.g., node, way, relation).
 
         Returns:
-        list[Landmark]: A list of Landmark objects extracted from the XML data.
+        list[Landmark]: A list of Landmark objects extracted from the JSON data.
         """
-        if root is None :
+        if elements is None :
             return []
 
         toilets_list = []
-        for osm_type in ['node', 'way', 'relation'] :
-            for elem in root.findall(osm_type):
-                # Get coordinates and append them to the points list
-                _, coords = get_base_info(elem, osm_type)
-                if coords is None :
-                    continue
+        for elem in elements:
+            osm_type = elem.get('type')
+            # Get coordinates and append them to the points list
+            _, coords = get_base_info(elem, osm_type)
+            if coords is None :
+                continue
 
-                toilets = Toilets(location=coords)
+            toilets = Toilets(location=coords)
 
-                # Extract tags as a dictionary
-                tags = {tag.get('k'): tag.get('v') for tag in elem.findall('tag')}
+            # Extract tags as a dictionary
+            tags = elem.get('tags')
 
-                if 'wheelchair' in tags.keys() and tags['wheelchair'] == 'yes':
-                    toilets.wheelchair = True
+            if 'wheelchair' in tags.keys() and tags['wheelchair'] == 'yes':
+                toilets.wheelchair = True
 
-                if 'changing_table' in tags.keys() and tags['changing_table'] == 'yes':
-                    toilets.changing_table = True
+            if 'changing_table' in tags.keys() and tags['changing_table'] == 'yes':
+                toilets.changing_table = True
 
-                if 'fee' in tags.keys() and tags['fee'] == 'yes':
-                    toilets.fee = True
+            if 'fee' in tags.keys() and tags['fee'] == 'yes':
+                toilets.fee = True
 
-                if 'opening_hours' in tags.keys() :
-                    toilets.opening_hours = tags['opening_hours']
+            if 'opening_hours' in tags.keys() :
+                toilets.opening_hours = tags['opening_hours']
 
-                toilets_list.append(toilets)
+            toilets_list.append(toilets)
 
         return toilets_list

backend/src/utils/bbox.py

@@ -0,0 +1,27 @@
+"""Various helper functions"""
+import math as m
+
+def create_bbox(coords: tuple[float, float], radius: int):
+    """
+    Create a bounding box around the given coordinates.
+
+    Args:
+        coords (tuple[float, float]): The latitude and longitude of the center of the bounding box.
+        radius (int): The half-side length of the bounding box in meters.
+
+    Returns:
+        tuple[float, float, float, float]: The minimum latitude, minimum longitude, maximum latitude, and maximum longitude
+                                            defining the bounding box.
+    """
+    # Earth's radius in meters
+    R = 6378137
+    lat, lon = coords
+    d_lat = radius / R
+    d_lon = radius / (R * m.cos(m.pi * lat / 180))
+
+    lat_min = lat - d_lat * 180 / m.pi
+    lat_max = lat + d_lat * 180 / m.pi
+    lon_min = lon - d_lon * 180 / m.pi
+    lon_max = lon + d_lon * 180 / m.pi
+
+    return (lat_min, lon_min, lat_max, lon_max)

frontend/.github/workflows/build_app_android.yaml

@@ -1,59 +0,0 @@
-on:
-  push:
-    tags:
-      - 'v*'
-
-jobs:
-  build:
-    runs-on: macos-latest
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Set up ruby env
-        uses: ruby/setup-ruby@v1
-        with:
-          ruby-version: 3.2.1
-          bundler-cache: true
-
-      - name: Setup java for android build
-        uses: actions/setup-java@v4
-        with:
-          java-version: '17'
-          distribution: 'zulu'
-
-      - name: Setup android SDK
-        uses: android-actions/setup-android@v3
-      
-      - name: Install Flutter
-        uses: subosito/flutter-action@v2
-        with:
-          channel: stable
-          flutter-version: 3.22.0
-          cache: true
-
-      - name: Infer version number from git tag
-        id: version
-        env: 
-          REF_NAME: ${{ github.ref_name }}
-        run:
-          # remove the 'v' prefix from the tag name
-          echo "BUILD_NAME=${REF_NAME//v}" >> $GITHUB_ENV
-
-      - name: Put selected secrets into files
-        run: |
-          echo "${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}" | base64 -d > secrets.properties
-          echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > google-key.json
-          echo "${{ secrets.ANDROID_KEYSTORE_BASE64 }}" | base64 -d > release.keystore
-        working-directory: android
-
-      - name: Install fastlane
-        run: bundle install
-        working-directory: android
-
-      - name: Run fastlane lane
-        run: bundle exec fastlane deploy_release
-        working-directory: android
-        env:
-          BUILD_NUMBER: ${{ github.run_number }}
-          # BUILD_NAME is implicitly available
-          GOOGLE_MAPS_API_KEY: ${{ secrets.GOOGLE_MAPS_API_KEY }}

frontend/.github/workflows/build_app_ios.yaml

@@ -1,64 +0,0 @@
-on:
-  push:
-    tags:
-      - 'v*'
-
-jobs:
-  build:
-    runs-on: macos-latest
-    env:
-      # $BUNDLE_GEMFILE must be set at the job level, so it is set for all steps
-      BUNDLE_GEMFILE: ${{ github.workspace }}/ios/Gemfile
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Set up ruby env
-        uses: ruby/setup-ruby@v1
-        with:
-          ruby-version: 3.3
-          bundler-cache: true # runs 'bundle install' and caches installed gems automatically
-
-      - name: Install Flutter
-        uses: subosito/flutter-action@v2
-        with:
-          channel: stable
-          flutter-version: 3.22.0
-          cache: true
-
-      - name: Infer version number from git tag
-        id: version
-        env: 
-          REF_NAME: ${{ github.ref_name }}
-        run:
-          # remove the 'v' prefix from the tag name
-          echo "BUILD_NAME=${REF_NAME//v}" >> $GITHUB_ENV
-
-      - name: Setup SSH key for match git repo
-        # and mark the host as known
-        run: |
-          echo $MATCH_REPO_SSH_KEY | base64 --decode > ~/.ssh/id_rsa
-          chmod 600 ~/.ssh/id_rsa
-          ssh-keyscan -p 2222 git.kluster.moll.re > ~/.ssh/known_hosts
-        env:
-          MATCH_REPO_SSH_KEY: ${{ secrets.IOS_MATCH_REPO_SSH_KEY_BASE64 }}
-
-      - name: Install dependencies and clean up
-        run: |
-          flutter pub get
-          bundle exec pod install
-          flutter clean
-          bundle exec pod cache clean --all
-        working-directory: ios
-
-      - name: Run fastlane lane
-        run: bundle exec fastlane deploy_release --verbose
-        working-directory: ios
-        env:
-          BUILD_NUMBER: ${{ github.run_number }}
-          # BUILD_NAME is implicitly available
-          GOOGLE_MAPS_API_KEY: ${{ secrets.GOOGLE_MAPS_API_KEY }}
-          IOS_ASC_KEY_ID: ${{ secrets.IOS_ASC_KEY_ID }}
-          IOS_ASC_ISSUER_ID: ${{ secrets.IOS_ASC_ISSUER_ID }}
-          IOS_ASC_KEY: ${{ secrets.IOS_ASC_KEY }}
-          MATCH_PASSWORD: ${{ secrets.IOS_MATCH_PASSWORD }}
-          IOS_GOOGLE_MAPS_API_KEY: ${{ secrets.IOS_GOOGLE_MAPS_API_KEY }}

frontend/.metadata

@@ -4,7 +4,7 @@
 # This file should be version controlled and should not be manually edited.
 
 version:
-  revision: "54e66469a933b60ddf175f858f82eaeb97e48c8d"
+  revision: "09de023485e95e6d1225c2baa44b8feb85e0d45f"
   channel: "stable"
 
 project_type: app
@@ -13,26 +13,11 @@ project_type: app
 migration:
   platforms:
     - platform: root
-      create_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-      base_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-    - platform: android
-      create_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-      base_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-    - platform: ios
-      create_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-      base_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
+      create_revision: 09de023485e95e6d1225c2baa44b8feb85e0d45f
+      base_revision: 09de023485e95e6d1225c2baa44b8feb85e0d45f
     - platform: linux
-      create_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-      base_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-    - platform: macos
-      create_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-      base_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-    - platform: web
-      create_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-      base_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-    - platform: windows
-      create_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
-      base_revision: 54e66469a933b60ddf175f858f82eaeb97e48c8d
+      create_revision: 09de023485e95e6d1225c2baa44b8feb85e0d45f
+      base_revision: 09de023485e95e6d1225c2baa44b8feb85e0d45f
 
   # User provided section
 

frontend/README.md

@@ -17,15 +17,9 @@ flutter pub get
 ```
 
 ## Development
-### ...
-### Icons and logos
-The application uses a custom launcher icon and splash screen. These are managed platform-independently using the `flutter_launcher_icons` package.
-
-To update the icons, change the `flutter_launcher_icons.yaml` configuration file. Especially the `image_path` is relevant. Then run
-```bash
-dart run flutter_launcher_icons
-```
+### TODO
 
+## Deployment and metadata
 ### Deploying a new version
 To truly deploy a new version of the application, i.e. to the official app stores, a special CI step is required. This listens for new tags. To create a new tag position yourself on the main branch and run
 ```bash
@@ -34,6 +28,18 @@ git push origin v<name>
 ```
 We adhere to the [Semantic Versioning](https://semver.org/) standard, so the tag should be of the form `v0.1.8` for example. 
 
+### Icons and logos
+The application uses a custom launcher icon and splash screen. These are managed platform-independently using the `flutter_launcher_icons` package.
+
+To update the icons, change the `flutter_launcher_icons.yaml` configuration file. Especially the `image_path` is relevant. Then run
+```bash
+dart run flutter_launcher_icons
+```
+### Other metadata
+Fastlane provides mechanisms to update the metadata of the application. This includes the name, description, screenshots, etc. The metadata is stored in the `fastlane/metadata` directory of both the `android`and the `ios` version of the application. Both versions have different structures but **they should be kept in sync**. For more information see the [fastlane documentation](https://docs.fastlane.tools/):
+- https://docs.fastlane.tools/actions/deliver/
+- https://docs.fastlane.tools/actions/supply/
+
 
 ## Fastlane - in depth
 The application is deployed to the Google Play Store and the Apple App Store using fastlane: [https://docs.fastlane.tools/](https://docs.fastlane.tools/)
@@ -46,16 +52,17 @@ bundle exec fastlane <lane>
 ```
 This is reused in the CI/CD pipeline to automate the deployment process.
 
-Secrets used by fastlane are stored on hashicorp vault and are fetched by the CI/CD pipeline. See below.
 
 ## Secrets
-These are mostly used by the CI/CD pipeline to deploy the application. The main usage for github actions is documented under [https://github.com/hashicorp/vault-action](https://github.com/hashicorp/vault-action).
+These are used by the CI/CD pipeline to deploy the application.
 
 **Platform-specific secrets** are used by the CI/CD pipeline to deploy to the respective app stores.
-- `GOOGLE_MAPS_API_KEY` is used to authenticate with the Google Maps API and is scoped to the android platform
+- `ANDROID_GOOGLE_MAPS_API_KEY` is used to authenticate with the Google Maps API and is scoped to the android platform
 - `ANDROID_KEYSTORE` is used to sign the android apk
 - `ANDROID_GOOGLE_KEY` is used to authenticate with the Google Play Store api
 - `IOS_GOOGLE_MAPS_API_KEY` is used to authenticate with the Google Maps API and is scoped to the ios platform
-- `IOS_GOOGLE_...`
-- `IOS_GOOGLE_...`
-- `IOS_GOOGLE_...`
+- `IOS_ASC_ISSUER_ID` is used to authenticate with the App Store Connect API
+- `IOS_ASC_KEY` as well
+- `IOS_ASC_KEY_ID` as well
+- `IOS_MATCH_PASSWORD` is used by fastlane match to download the certificates
+- `IOS_MATCH_REPO_SSH_KEY_BASE64` is used to authenticate with the git repository where the certificates are stored

frontend/android/Gemfile.lock

@@ -1,220 +0,0 @@
-GEM
-  remote: https://rubygems.org/
-  specs:
-    CFPropertyList (3.0.7)
-      base64
-      nkf
-      rexml
-    addressable (2.8.7)
-      public_suffix (>= 2.0.2, < 7.0)
-    artifactory (3.0.17)
-    atomos (0.1.3)
-    aws-eventstream (1.3.0)
-    aws-partitions (1.970.0)
-    aws-sdk-core (3.202.2)
-      aws-eventstream (~> 1, >= 1.3.0)
-      aws-partitions (~> 1, >= 1.651.0)
-      aws-sigv4 (~> 1.9)
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-      CFPropertyList (>= 2.3.3, < 4.0)
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-      rexml (>= 3.3.2, < 4.0)
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-    xcpretty-travis-formatter (1.0.1)
-      xcpretty (~> 0.2, >= 0.0.7)
-
-PLATFORMS
-  ruby
-  x86_64-linux
-
-DEPENDENCIES
-  fastlane
-
-BUNDLED WITH
-   2.5.18

frontend/android/app/build.gradle

@@ -77,7 +77,7 @@ android {
         versionCode flutterVersionCode.toInteger()
         versionName flutterVersionName
         // // Placeholders of keys that are replaced by the build system.
-        manifestPlaceholders += ['MAPS_API_KEY': System.getenv('GOOGLE_MAPS_API_KEY')]
+        manifestPlaceholders += ['MAPS_API_KEY': System.getenv('ANDROID_GOOGLE_MAPS_API_KEY')]
 
     }
 

frontend/android/fastlane/Fastfile

@@ -3,7 +3,7 @@ default_platform(:android)
 platform :android do
 
   desc "Deploy a new version to closed testing (play store)"
-  lane :deploy_testing do
+  lane :deploy_beta do
     build_name = ENV["BUILD_NAME"]
     build_number = ENV["BUILD_NUMBER"]
 
@@ -17,7 +17,8 @@ platform :android do
       )
     
     upload_to_play_store(
-      track: 'alpha',
+      track: 'beta',
+      # upload aab files intstead
       skip_upload_apk: true,
       skip_upload_changelogs: true,
       aab: "../build/app/outputs/bundle/release/app-release.aab",
@@ -47,6 +48,7 @@ platform :android do
       skip_upload_apk: true,
       skip_upload_changelogs: true,
       aab: "../build/app/outputs/bundle/release/app-release.aab",
+      metadata_path: "fastlane/metadata",
       )
   end
 end

frontend/android/fastlane/metadata/android/en-US/full_description.txt

@@ -1,7 +0,0 @@
-AnyWay - plan city trips your way
-
-AnyWay is a mobile application that helps users plan city trips. The app allows users to specify their preferences and constraints, and then generates a personalized itinerary for them. The planning follows some guiding principles:
-- **Personalization**:The user's preferences should be reflected in the choice of destinations.
-- **Efficiency**:The itinerary should be optimized for the user's constraints.
-- **Flexibility**: We aknowledge that tourism is a dynamic activity, and that users may want to change their plans on the go.
-- **Discoverability**: Tourism is an inherently exploratory activity. Once a rough itinerary is generated, detours and spontaneous decisions should be encouraged.

frontend/android/fastlane/metadata/en-US/full_description.txt

@@ -0,0 +1,7 @@
+AnyWay is an application that helps you plan truly unique city trips. When planning a new trip, you can specify your preferences and constraints and anyway generates a personalized itinerary just for you. 
+
+Anyway follows these core principles:
+- Personalization: Trips should be match your interests - not just the most popular destinations.
+- Efficiency: Don't just walk in circles! Anyway creates the most efficient route for you.
+- Flexibility: Vacations are the time to be spontaneous. Anyway lets you update your plans on the go.
+- Discoverability: Tourism means exploration. Anyway encourages you to take detours and make spontaneous decisions.

frontend/android/settings.gradle

@@ -19,7 +19,7 @@ pluginManagement {
 
 plugins {
     id "dev.flutter.flutter-plugin-loader" version "1.0.0"
-    id "com.android.application" version "7.3.0" apply false
+    id "com.android.application" version "8.1.0" apply false
     id "org.jetbrains.kotlin.android" version "2.0.20" apply false
 }
 

frontend/assets/README.md

@@ -0,0 +1,2 @@
+## Vector assets
+As per https://www.svgrepo.com/collection/pixellove-bordered-vectors/ these icons are licensed under CC0.

frontend/assets/cat.svg

@@ -1,107 +0,0 @@
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-<!-- Generator: Adobe Illustrator 27.5.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
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-	 viewBox="0 0 500 500" style="enable-background:new 0 0 500 500;" xml:space="preserve">
-<g id="OBJECTS">
-	<g>
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-			c35.603,12.277,69.954,29.937,96.972,56.171c27.019,26.233,46.213,61.723,47.963,99.341
-			C458.967,298.17,438.434,354.022,381.005,363.01z"/>
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frontend/assets/cel-snow-globe.svg

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frontend/assets/cld-server.svg

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frontend/assets/con-drill.svg

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frontend/assets/con-warning.svg

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frontend/assets/gen-lifebelt.svg

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frontend/assets/terms_and_conditions.md

@@ -0,0 +1,126 @@
+# Terms and Conditions
+
+> Last updated: January 09, 2025
+>
+> Also see: https://anydev.info/terms-and-conditions/
+
+Please read these terms and conditions carefully before using our Service.
+
+## Interpretation and Definitions
+### Interpretation
+
+The words of which the initial letter is capitalized have meanings defined under the following conditions. The following definitions shall have the same meaning regardless of whether they appear in singular or in plural.
+
+### Definitions
+
+For the purposes of these Terms and Conditions:
+  - **Application** means the software program provided by the Company downloaded by You on any electronic device, named AnyWay
+  - **Application Store** means the digital distribution service operated and developed by Apple Inc. (Apple App Store) or Google Inc. (Google Play Store) in which the Application has been downloaded.
+  - **Affiliate** means an entity that controls, is controlled by or is under common control with a party, where "control" means ownership of 50% or more of the shares, equity interest or other securities entitled to vote for election of directors or other managing authority.
+  - **Country** refers to: Switzerland
+  - **Company** (referred to as either "the Company", "We", "Us" or "Our" in this Agreement) refers to AnyDev.
+  - **Device** means any device that can access the Service such as a computer, a cellphone or a digital tablet.
+  - **Service** refers to the Application.
+  - **Terms and Conditions** (also referred as "Terms") mean these Terms and Conditions that form the entire agreement between You and the Company regarding the use of the Service. This Terms and Conditions agreement has been created with the help of the Terms and Conditions Generator.
+  - **Third-party Social Media Service** means any services or content (including data, information, products or services) provided by a third-party that may be displayed, included or made available by the Service.
+  - **You** means the individual accessing or using the Service, or the company, or other legal entity on behalf of which such individual is accessing or using the Service, as applicable.
+
+## Acknowledgment
+
+These are the Terms and Conditions governing the use of this Service and the agreement that operates between You and the Company. These Terms and Conditions set out the rights and obligations of all users regarding the use of the Service.
+
+Your access to and use of the Service is conditioned on Your acceptance of and compliance with these Terms and Conditions. These Terms and Conditions apply to all visitors, users and others who access or use the Service.
+
+By accessing or using the Service You agree to be bound by these Terms and Conditions. If You disagree with any part of these Terms and Conditions then You may not access the Service.
+
+You represent that you are over the age of 18. The Company does not permit those under 18 to use the Service.
+
+Your access to and use of the Service is also conditioned on Your acceptance of and compliance with the Privacy Policy of the Company. Our Privacy Policy describes Our policies and procedures on the collection, use and disclosure of Your personal information when You use the Application or the Website and tells You about Your privacy rights and how the law protects You. Please read Our Privacy Policy carefully before using Our Service.
+
+
+## Links to Other Websites
+
+Our Service may contain links to third-party web sites or services that are not owned or controlled by the Company.
+
+The Company has no control over, and assumes no responsibility for, the content, privacy policies, or practices of any third party web sites or services. You further acknowledge and agree that the Company shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any such content, goods or services available on or through any such web sites or services.
+
+We strongly advise You to read the terms and conditions and privacy policies of any third-party web sites or services that You visit.
+
+
+## Termination
+
+We may terminate or suspend Your access immediately, without prior notice or liability, for any reason whatsoever, including without limitation if You breach these Terms and Conditions.
+
+Upon termination, Your right to use the Service will cease immediately.
+
+
+## Limitation of Liability
+
+Notwithstanding any damages that You might incur, the entire liability of the Company and any of its suppliers under any provision of this Terms and Your exclusive remedy for all of the foregoing shall be limited to the amount actually paid by You through the Service or 100 USD if You haven't purchased anything through the Service.
+
+To the maximum extent permitted by applicable law, in no event shall the Company or its suppliers be liable for any special, incidental, indirect, punitive, or consequential damages whatsoever (including, but not limited to, damages for loss of profits, loss of data, loss of use, loss of goodwill, business interruption, personal injury, loss of privacy, or any other pecuniary or non-pecuniary loss or damage) arising out of or in any way related to the use of or inability to use the Service, third-party software and/or third-party hardware used with the Service, or otherwise in connection with any provision of this Terms, even if the Company or any supplier has been advised of the possibility of such damages and even if the remedy fails of its essential purpose.
+
+In particular, the Company and its suppliers are not liable for any damages or losses that may arise from:
+  - Your reliance on any content provided through the Service;
+  - Errors, mistakes, or inaccuracies of content;
+  - Any unauthorized access to or use of our servers and/or any personal information stored therein;
+  - Any interruption or cessation of transmission to or from the Service;
+  - Any bugs, viruses, trojan horses, or the like which may be transmitted to or through the Service by any third party;
+  - Any errors or omissions in any content or for any loss or damage of any kind incurred as a result of Your use of any content posted, emailed, transmitted, or otherwise made available via the Service.
+
+The Company shall not be liable for any loss or damage resulting from failure to meet any of Your expectations related to the use or performance of the Service, including but not limited to inaccuracies in GPS location services, suggested itineraries, or other location-based services.
+
+Some jurisdictions do not allow the exclusion or limitation of certain types of liability, such as incidental or consequential damages or implied warranties. Therefore, the above limitations or exclusions may not apply to You. In such jurisdictions, each party's liability will be limited to the greatest extent permitted by law.
+
+To the extent permitted by applicable law, the Company and its suppliers’ aggregate liability to You for any claims arising from or related to the use of the Service shall in no event exceed the greater of (a) the amount You paid, if any, for accessing the Service during the twelve (12) month period preceding the claim or (b) one hundred (100) USD.
+
+You agree that the limitations of liability set forth in this section will survive any termination or expiration of these Terms and apply even if any limited remedy specified in these Terms is found to have failed its essential purpose.
+"AS IS" and "AS AVAILABLE" Disclaimer
+
+The Service is provided to You "AS IS" and "AS AVAILABLE" and with all faults and defects without warranty of any kind. To the maximum extent permitted under applicable law, the Company, on its own behalf and on behalf of its Affiliates and its and their respective licensors and service providers, expressly disclaims all warranties, whether express, implied, statutory or otherwise, with respect to the Service, including all implied warranties of merchantability, fitness for a particular purpose, title and non-infringement, and warranties that may arise out of course of dealing, course of performance, usage or trade practice. Without limitation to the foregoing, the Company provides no warranty or undertaking, and makes no representation of any kind that the Service will meet Your requirements, achieve any intended results, be compatible or work with any other software, applications, systems or services, operate without interruption, meet any performance or reliability standards or be error free or that any errors or defects can or will be corrected.
+
+Without limiting the foregoing, neither the Company nor any of the company's provider makes any representation or warranty of any kind, express or implied: (i) as to the operation or availability of the Service, or the information, content, and materials or products included thereon; (ii) that the Service will be uninterrupted or error-free; (iii) as to the accuracy, reliability, or currency of any information or content provided through the Service; or (iv) that the Service, its servers, the content, or e-mails sent from or on behalf of the Company are free of viruses, scripts, trojan horses, worms, malware, timebombs or other harmful components.
+
+Some jurisdictions do not allow the exclusion of certain types of warranties or limitations on applicable statutory rights of a consumer, so some or all of the above exclusions and limitations may not apply to You. But in such a case the exclusions and limitations set forth in this section shall be applied to the greatest extent enforceable under applicable law.
+
+
+## Governing Law
+
+The laws of the Country, excluding its conflicts of law rules, shall govern this Terms and Your use of the Service. Your use of the Application may also be subject to other local, state, national, or international laws.
+
+
+## Disputes Resolution
+
+If You have any concern or dispute about the Service, You agree to first try to resolve the dispute informally by contacting the Company.
+For European Union (EU) Users
+
+If You are a European Union consumer, you will benefit from any mandatory provisions of the law of the country in which You are resident.
+
+
+## United States Legal Compliance
+
+You represent and warrant that (i) You are not located in a country that is subject to the United States government embargo, or that has been designated by the United States government as a "terrorist supporting" country, and (ii) You are not listed on any United States government list of prohibited or restricted parties.
+
+
+## Severability and Waiver
+### Severability
+
+If any provision of these Terms is held to be unenforceable or invalid, such provision will be changed and interpreted to accomplish the objectives of such provision to the greatest extent possible under applicable law and the remaining provisions will continue in full force and effect.
+
+### Waiver
+
+Except as provided herein, the failure to exercise a right or to require performance of an obligation under these Terms shall not affect a party's ability to exercise such right or require such performance at any time thereafter nor shall the waiver of a breach constitute a waiver of any subsequent breach.
+Translation Interpretation
+
+These Terms and Conditions may have been translated if We have made them available to You on our Service. You agree that the original English text shall prevail in the case of a dispute.
+Changes to These Terms and Conditions
+
+We reserve the right, at Our sole discretion, to modify or replace these Terms at any time. If a revision is material We will make reasonable efforts to provide at least 30 days' notice prior to any new terms taking effect. What constitutes a material change will be determined at Our sole discretion.
+
+By continuing to access or use Our Service after those revisions become effective, You agree to be bound by the revised terms. If You do not agree to the new terms, in whole or in part, please stop using the website and the Service.
+
+
+## Contact Us
+
+If you have any questions about these Terms and Conditions, You can contact us:
+  - By visiting this page on our website: https://anydev.info

frontend/ios/Gemfile.lock

@@ -1,288 +0,0 @@
-GEM
-  remote: https://rubygems.org/
-  specs:
-    CFPropertyList (3.0.7)
-      base64
-      nkf
-      rexml
-    activesupport (5.2.8.1)
-      concurrent-ruby (~> 1.0, >= 1.0.2)
-      i18n (>= 0.7, < 2)
-      minitest (~> 5.1)
-      tzinfo (~> 1.1)
-    addressable (2.8.7)
-      public_suffix (>= 2.0.2, < 7.0)
-    algoliasearch (1.27.5)
-      httpclient (~> 2.8, >= 2.8.3)
-      json (>= 1.5.1)
-    artifactory (3.0.17)
-    atomos (0.1.3)
-    aws-eventstream (1.3.0)
-    aws-partitions (1.1004.0)
-    aws-sdk-core (3.212.0)
-      aws-eventstream (~> 1, >= 1.3.0)
-      aws-partitions (~> 1, >= 1.992.0)
-      aws-sigv4 (~> 1.9)
-      jmespath (~> 1, >= 1.6.1)
-    aws-sdk-kms (1.95.0)
-      aws-sdk-core (~> 3, >= 3.210.0)
-      aws-sigv4 (~> 1.5)
-    aws-sdk-s3 (1.170.1)
-      aws-sdk-core (~> 3, >= 3.210.0)
-      aws-sdk-kms (~> 1)
-      aws-sigv4 (~> 1.5)
-    aws-sigv4 (1.10.1)
-      aws-eventstream (~> 1, >= 1.0.2)
-    babosa (1.0.4)
-    base64 (0.2.0)
-    claide (1.1.0)
-    cocoapods (1.10.2)
-      addressable (~> 2.6)
-      claide (>= 1.0.2, < 2.0)
-      cocoapods-core (= 1.10.2)
-      cocoapods-deintegrate (>= 1.0.3, < 2.0)
-      cocoapods-downloader (>= 1.4.0, < 2.0)
-      cocoapods-plugins (>= 1.0.0, < 2.0)
-      cocoapods-search (>= 1.0.0, < 2.0)
-      cocoapods-trunk (>= 1.4.0, < 2.0)
-      cocoapods-try (>= 1.1.0, < 2.0)
-      colored2 (~> 3.1)
-      escape (~> 0.0.4)
-      fourflusher (>= 2.3.0, < 3.0)
-      gh_inspector (~> 1.0)
-      molinillo (~> 0.6.6)
-      nap (~> 1.0)
-      ruby-macho (~> 1.4)
-      xcodeproj (>= 1.19.0, < 2.0)
-    cocoapods-core (1.10.2)
-      activesupport (> 5.0, < 6)
-      addressable (~> 2.6)
-      algoliasearch (~> 1.0)
-      concurrent-ruby (~> 1.1)
-      fuzzy_match (~> 2.0.4)
-      nap (~> 1.0)
-      netrc (~> 0.11)
-      public_suffix
-      typhoeus (~> 1.0)
-    cocoapods-deintegrate (1.0.5)
-    cocoapods-downloader (1.6.3)
-    cocoapods-plugins (1.0.0)
-      nap
-    cocoapods-search (1.0.1)
-    cocoapods-trunk (1.6.0)
-      nap (>= 0.8, < 2.0)
-      netrc (~> 0.11)
-    cocoapods-try (1.2.0)
-    colored (1.2)
-    colored2 (3.1.2)
-    commander (4.6.0)
-      highline (~> 2.0.0)
-    concurrent-ruby (1.3.4)
-    declarative (0.0.20)
-    digest-crc (0.6.5)
-      rake (>= 12.0.0, < 14.0.0)
-    domain_name (0.6.20240107)
-    dotenv (2.8.1)
-    emoji_regex (3.2.3)
-    escape (0.0.4)
-    ethon (0.16.0)
-      ffi (>= 1.15.0)
-    excon (0.112.0)
-    faraday (1.10.4)
-      faraday-em_http (~> 1.0)
-      faraday-em_synchrony (~> 1.0)
-      faraday-excon (~> 1.1)
-      faraday-httpclient (~> 1.0)
-      faraday-multipart (~> 1.0)
-      faraday-net_http (~> 1.0)
-      faraday-net_http_persistent (~> 1.0)
-      faraday-patron (~> 1.0)
-      faraday-rack (~> 1.0)
-      faraday-retry (~> 1.0)
-      ruby2_keywords (>= 0.0.4)
-    faraday-cookie_jar (0.0.7)
-      faraday (>= 0.8.0)
-      http-cookie (~> 1.0.0)
-    faraday-em_http (1.0.0)
-    faraday-em_synchrony (1.0.0)
-    faraday-excon (1.1.0)
-    faraday-httpclient (1.0.1)
-    faraday-multipart (1.0.4)
-      multipart-post (~> 2)
-    faraday-net_http (1.0.2)
-    faraday-net_http_persistent (1.2.0)
-    faraday-patron (1.0.0)
-    faraday-rack (1.0.0)
-    faraday-retry (1.0.3)
-    faraday_middleware (1.2.1)
-      faraday (~> 1.0)
-    fastimage (2.3.1)
-    fastlane (2.225.0)
-      CFPropertyList (>= 2.3, < 4.0.0)
-      addressable (>= 2.8, < 3.0.0)
-      artifactory (~> 3.0)
-      aws-sdk-s3 (~> 1.0)
-      babosa (>= 1.0.3, < 2.0.0)
-      bundler (>= 1.12.0, < 3.0.0)
-      colored (~> 1.2)
-      commander (~> 4.6)
-      dotenv (>= 2.1.1, < 3.0.0)
-      emoji_regex (>= 0.1, < 4.0)
-      excon (>= 0.71.0, < 1.0.0)
-      faraday (~> 1.0)
-      faraday-cookie_jar (~> 0.0.6)
-      faraday_middleware (~> 1.0)
-      fastimage (>= 2.1.0, < 3.0.0)
-      fastlane-sirp (>= 1.0.0)
-      gh_inspector (>= 1.1.2, < 2.0.0)
-      google-apis-androidpublisher_v3 (~> 0.3)
-      google-apis-playcustomapp_v1 (~> 0.1)
-      google-cloud-env (>= 1.6.0, < 2.0.0)
-      google-cloud-storage (~> 1.31)
-      highline (~> 2.0)
-      http-cookie (~> 1.0.5)
-      json (< 3.0.0)
-      jwt (>= 2.1.0, < 3)
-      mini_magick (>= 4.9.4, < 5.0.0)
-      multipart-post (>= 2.0.0, < 3.0.0)
-      naturally (~> 2.2)
-      optparse (>= 0.1.1, < 1.0.0)
-      plist (>= 3.1.0, < 4.0.0)
-      rubyzip (>= 2.0.0, < 3.0.0)
-      security (= 0.1.5)
-      simctl (~> 1.6.3)
-      terminal-notifier (>= 2.0.0, < 3.0.0)
-      terminal-table (~> 3)
-      tty-screen (>= 0.6.3, < 1.0.0)
-      tty-spinner (>= 0.8.0, < 1.0.0)
-      word_wrap (~> 1.0.0)
-      xcodeproj (>= 1.13.0, < 2.0.0)
-      xcpretty (~> 0.3.0)
-      xcpretty-travis-formatter (>= 0.0.3, < 2.0.0)
-    fastlane-sirp (1.0.0)
-      sysrandom (~> 1.0)
-    ffi (1.17.0)
-    ffi (1.17.0-x86_64-darwin)
-    fourflusher (2.3.1)
-    fuzzy_match (2.0.4)
-    gh_inspector (1.1.3)
-    google-apis-androidpublisher_v3 (0.54.0)
-      google-apis-core (>= 0.11.0, < 2.a)
-    google-apis-core (0.11.3)
-      addressable (~> 2.5, >= 2.5.1)
-      googleauth (>= 0.16.2, < 2.a)
-      httpclient (>= 2.8.1, < 3.a)
-      mini_mime (~> 1.0)
-      representable (~> 3.0)
-      retriable (>= 2.0, < 4.a)
-      rexml
-    google-apis-iamcredentials_v1 (0.17.0)
-      google-apis-core (>= 0.11.0, < 2.a)
-    google-apis-playcustomapp_v1 (0.13.0)
-      google-apis-core (>= 0.11.0, < 2.a)
-    google-apis-storage_v1 (0.31.0)
-      google-apis-core (>= 0.11.0, < 2.a)
-    google-cloud-core (1.7.1)
-      google-cloud-env (>= 1.0, < 3.a)
-      google-cloud-errors (~> 1.0)
-    google-cloud-env (1.6.0)
-      faraday (>= 0.17.3, < 3.0)
-    google-cloud-errors (1.4.0)
-    google-cloud-storage (1.47.0)
-      addressable (~> 2.8)
-      digest-crc (~> 0.4)
-      google-apis-iamcredentials_v1 (~> 0.1)
-      google-apis-storage_v1 (~> 0.31.0)
-      google-cloud-core (~> 1.6)
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-      faraday (>= 0.17.3, < 3.a)
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-      signet (>= 0.16, < 2.a)
-    highline (2.0.3)
-    http-cookie (1.0.7)
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-    httpclient (2.8.3)
-    i18n (1.14.6)
-      concurrent-ruby (~> 1.0)
-    jmespath (1.6.2)
-    json (2.8.1)
-    jwt (2.9.3)
-      base64
-    mini_magick (4.13.2)
-    mini_mime (1.1.5)
-    minitest (5.25.1)
-    molinillo (0.6.6)
-    multi_json (1.15.0)
-    multipart-post (2.4.1)
-    nanaimo (0.4.0)
-    nap (1.1.0)
-    naturally (2.2.1)
-    netrc (0.11.0)
-    nkf (0.2.0)
-    optparse (0.6.0)
-    os (1.1.4)
-    plist (3.7.1)
-    public_suffix (6.0.1)
-    rake (13.2.1)
-    representable (3.2.0)
-      declarative (< 0.1.0)
-      trailblazer-option (>= 0.1.1, < 0.2.0)
-      uber (< 0.2.0)
-    retriable (3.1.2)
-    rexml (3.3.9)
-    rouge (2.0.7)
-    ruby-macho (1.4.0)
-    ruby2_keywords (0.0.5)
-    rubyzip (2.3.2)
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-    signet (0.19.0)
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-      jwt (>= 1.5, < 3.0)
-      multi_json (~> 1.10)
-    simctl (1.6.10)
-      CFPropertyList
-      naturally
-    sysrandom (1.0.5)
-    terminal-notifier (2.0.0)
-    terminal-table (3.0.2)
-      unicode-display_width (>= 1.1.1, < 3)
-    thread_safe (0.3.6)
-    trailblazer-option (0.1.2)
-    tty-cursor (0.7.1)
-    tty-screen (0.8.2)
-    tty-spinner (0.9.3)
-      tty-cursor (~> 0.7)
-    typhoeus (1.4.1)
-      ethon (>= 0.9.0)
-    tzinfo (1.2.11)
-      thread_safe (~> 0.1)
-    uber (0.1.0)
-    unicode-display_width (2.6.0)
-    word_wrap (1.0.0)
-    xcodeproj (1.27.0)
-      CFPropertyList (>= 2.3.3, < 4.0)
-      atomos (~> 0.1.3)
-      claide (>= 1.0.2, < 2.0)
-      colored2 (~> 3.1)
-      nanaimo (~> 0.4.0)
-      rexml (>= 3.3.6, < 4.0)
-    xcpretty (0.3.0)
-      rouge (~> 2.0.7)
-    xcpretty-travis-formatter (1.0.1)
-      xcpretty (~> 0.2, >= 0.0.7)
-
-PLATFORMS
-  ruby
-  x86_64-darwin-23
-
-DEPENDENCIES
-  cocoapods
-  fastlane
-
-BUNDLED WITH
-   2.5.23

frontend/ios/fastlane/Appfile

@@ -1,4 +1,4 @@
-app_identifier("info.anydev.testing") # The bundle identifier of your app
+app_identifier("info.anydev.anyway") # The bundle identifier of your app
 apple_id("me@moll.re") # Your Apple Developer Portal username
 
 itc_team_id("127439860") # App Store Connect Team ID

frontend/ios/fastlane/Deliverfile

@@ -0,0 +1,3 @@
+# The Deliverfile allows you to store various App Store Connect metadata
+# For more information, check out the docs
+# https://docs.fastlane.tools/actions/deliver/

frontend/ios/fastlane/Fastfile

@@ -15,7 +15,7 @@ platform :ios do
 
 
   desc "Deploy a new version to closed testing (testflight)"
-  lane :deploy_testing do
+  lane :deploy_beta do
     build_name = ENV["BUILD_NAME"]
     build_number = ENV["BUILD_NUMBER"]
     
@@ -28,12 +28,11 @@ platform :ios do
       readonly: true,
     )
 
-
     sh(
       "flutter",
       "build",
       "ipa",
-      "--debug",
+      "--release",
       "--build-name=#{build_name}",
       "--build-number=#{build_number}",
     )
@@ -64,16 +63,6 @@ platform :ios do
       readonly: true,
     )
 
-    # replace secrets by real values, the stupid way
-    sh(
-      "sed",
-      "-i",
-      "",
-      "s/IOS_GOOGLE_MAPS_API_KEY/#{ENV["IOS_GOOGLE_MAPS_API_KEY"]}/g",
-      "../Runner/AppDelegate.swift"
-
-    )
-
     sh(
       "flutter",
       "build",
@@ -88,12 +77,13 @@ platform :ios do
       skip_build_archive: true,
       archive_path: "../build/ios/archive/Runner.xcarchive"
     )
-  
+
     upload_to_app_store(
-      skip_screenshots: true,
-      skip_metadata: true,
+      overwrite_screenshots: true,
+      metadata_path: "fastlane/metadata",
+      screenshots_path: "fastlane/screenshots",
       precheck_include_in_app_purchases: false,
-      
+      force: true, # Skip HTMl report verification
       submit_for_review: true,
       automatic_release: true,
       # automatically release the app after review

frontend/ios/fastlane/metadata/copyright.txt

@@ -0,0 +1 @@
+2025 anydev

frontend/ios/fastlane/metadata/en-US/apple_tv_privacy_policy.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/en-US/description.txt

@@ -0,0 +1,7 @@
+AnyWay is an application that helps you plan truly unique city trips. When planning a new trip, you can specify your preferences and constraints and anyway generates a personalized itinerary just for you. 
+
+Anyway follows these core principles:
+- Personalization: Trips should be match your interests - not just the most popular destinations.
+- Efficiency: Don't just walk in circles! Anyway creates the most efficient route for you.
+- Flexibility: Vacations are the time to be spontaneous. Anyway lets you update your plans on the go.
+- Discoverability: Tourism means exploration. Anyway encourages you to take detours and make spontaneous decisions.

frontend/ios/fastlane/metadata/en-US/keywords.txt

@@ -0,0 +1 @@
+tourism, cities, travel, guide

frontend/ios/fastlane/metadata/en-US/marketing_url.txt

@@ -0,0 +1 @@
+https://anydev.info

frontend/ios/fastlane/metadata/en-US/name.txt

@@ -0,0 +1 @@
+Any.Way

frontend/ios/fastlane/metadata/en-US/privacy_url.txt

@@ -0,0 +1 @@
+https://anydev.info/privacy

frontend/ios/fastlane/metadata/en-US/promotional_text.txt

@@ -0,0 +1 @@
+AnyWay - plan city trips your way!

frontend/ios/fastlane/metadata/en-US/release_notes.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/en-US/subtitle.txt

@@ -0,0 +1 @@
+Plan city trips your way!

frontend/ios/fastlane/metadata/en-US/support_url.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/primary_category.txt

@@ -0,0 +1 @@
+TRAVEL

frontend/ios/fastlane/metadata/primary_first_sub_category.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/primary_second_sub_category.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/review_information/demo_password.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/review_information/demo_user.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/review_information/email_address.txt

@@ -0,0 +1 @@
+anydev.anyway@gmail.com

frontend/ios/fastlane/metadata/review_information/first_name.txt

@@ -0,0 +1 @@
+Remy

frontend/ios/fastlane/metadata/review_information/last_name.txt

@@ -0,0 +1 @@
+Moll

frontend/ios/fastlane/metadata/review_information/notes.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/review_information/phone_number.txt

@@ -0,0 +1 @@
++4915128785827

frontend/ios/fastlane/metadata/secondary_category.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/secondary_first_sub_category.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/metadata/secondary_second_sub_category.txt

@@ -0,0 +1 @@
+

frontend/ios/fastlane/screenshots/README.txt

@@ -0,0 +1,30 @@
+## Screenshots Naming Rules
+
+Put all screenshots you want to use inside the folder of its language (e.g. `en-US`).
+The device type will automatically be recognized using the image resolution.
+
+The screenshots can be named whatever you want, but keep in mind they are sorted
+alphabetically, in a human-friendly way. See https://github.com/fastlane/fastlane/pull/18200 for more details.
+
+### Exceptions
+
+#### iPad Pro (3rd Gen) 12.9"
+
+Since iPad Pro (3rd Gen) 12.9" and iPad Pro (2nd Gen) 12.9" have the same image
+resolution, screenshots of the iPad Pro (3rd gen) 12.9" must contain either the
+string `iPad Pro (12.9-inch) (3rd generation)`, `IPAD_PRO_3GEN_129`, or `ipadPro129`
+(App Store Connect's internal naming of the display family for the 3rd generation iPad Pro)
+in its filename to be assigned the correct display family and to be uploaded to
+the correct screenshot slot in your app's metadata.
+
+### Other Platforms
+
+#### Apple TV
+
+Apple TV screenshots should be stored in a subdirectory named `appleTV` with language
+folders inside of it.
+
+#### iMessage
+
+iMessage screenshots, like the Apple TV ones, should also be stored in a subdirectory
+named `iMessage`, with language folders inside of it.