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| @@ -6,7 +6,7 @@ on: | ||||
|       - frontend/** | ||||
|  | ||||
|  | ||||
| name: Build and release APK | ||||
| name: Build and release debug APK | ||||
|  | ||||
| jobs: | ||||
|   build: | ||||
| @@ -55,7 +55,7 @@ jobs: | ||||
|         ls -lah android | ||||
|       working-directory: ./frontend | ||||
|  | ||||
|     - run: flutter build apk --release --split-per-abi --build-number=${{ gitea.run_number }} | ||||
|     - run: flutter build apk --debug --split-per-abi --build-number=${{ gitea.run_number }} | ||||
|       working-directory: ./frontend | ||||
|  | ||||
|     - name: Upload APKs to artifacts | ||||
|   | ||||
							
								
								
									
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						| @@ -0,0 +1,3 @@ | ||||
| { | ||||
|     "cmake.ignoreCMakeListsMissing": true | ||||
| } | ||||
| @@ -9,9 +9,9 @@ name = "pypi" | ||||
| numpy = "*" | ||||
| fastapi = "*" | ||||
| pydantic = "*" | ||||
| geopy = "*" | ||||
| shapely = "*" | ||||
| scipy = "*" | ||||
| osmpythontools = "*" | ||||
| pywikibot = "*" | ||||
| pymemcache = "*" | ||||
| fastapi-cli = "*" | ||||
|   | ||||
							
								
								
									
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						| @@ -1,12 +1,37 @@ | ||||
| # Backend | ||||
|  | ||||
| This repository contains the backend code for the application. It utilizes FastAPI that allows to quickly create a RESTful API that exposes the endpoints of the route optimizer. | ||||
|  | ||||
| This repository contains the backend code for the application. It utilizes **FastAPI** to quickly create a RESTful API that exposes the endpoints of the route optimizer. | ||||
|  | ||||
| ## Getting Started | ||||
| - The code of the python application is located in the `src` directory. | ||||
| - Package management is handled with `pipenv` and the dependencies are listed in the `Pipfile`. | ||||
| - Since the application is aimed to be deployed in a container, the `Dockerfile` is provided to build the image. | ||||
|  | ||||
| ### Directory Structure | ||||
| - The code for the Python application is located in the `src` directory. | ||||
| - Package management is handled with **pipenv**, and the dependencies are listed in the `Pipfile`. | ||||
| - Since the application is designed to be deployed in a container, the `Dockerfile` is provided to build the image. | ||||
|  | ||||
| ### Setting Up the Development Environment | ||||
|  | ||||
| To set up your development environment using **pipenv**, follow these steps: | ||||
|  | ||||
| 1. Install `pipenv` by running: | ||||
|     ```bash | ||||
|     sudo apt install pipenv | ||||
|     ``` | ||||
|  | ||||
| 2. Create and activate a virtual environment: | ||||
|     ```bash | ||||
|     pipenv shell | ||||
|     ``` | ||||
|  | ||||
| 3. Install the dependencies listed in the `Pipfile`: | ||||
|     ```bash | ||||
|     pipenv install | ||||
|     ``` | ||||
|  | ||||
| 4. The virtual environment will be created under: | ||||
|     ```bash | ||||
|     ~/.local/share/virtualenvs/... | ||||
|     ``` | ||||
|  | ||||
| ### Deployment | ||||
| To deploy the backend docker container, we use kubernetes. Modifications to the backend are automatically pushed to a two-stage environment through the CI pipeline. See [deployment/README](deployment/README.md] for further information. | ||||
|   | ||||
| @@ -16,7 +16,7 @@ OSM_CACHE_DIR = Path(cache_dir_string) | ||||
|  | ||||
| import logging | ||||
| # if we are in a debug session, set verbose and rich logging | ||||
| if os.getenv('DEBUG', False): | ||||
| if os.getenv('DEBUG', "false") == "true": | ||||
|     from rich.logging import RichHandler | ||||
|     logging.basicConfig( | ||||
|         level=logging.DEBUG, | ||||
|   | ||||
| @@ -1,3 +1,6 @@ | ||||
| # Tags were picked mostly arbitrarily, based on the OSM wiki and the OSM tags page. | ||||
| # See https://taginfo.openstreetmap.org for more inspiration. | ||||
|  | ||||
| nature: | ||||
|   leisure: park | ||||
|   geological: '' | ||||
| @@ -11,7 +14,24 @@ nature: | ||||
|     - alpine_hut | ||||
|     - viewpoint | ||||
|     - zoo | ||||
|   waterway: waterfall | ||||
|     - resort | ||||
|     - picnic_site | ||||
|   water: | ||||
|     - pond | ||||
|     - lake | ||||
|     - river | ||||
|     - basin | ||||
|     - stream | ||||
|     - lagoon | ||||
|     - rapids | ||||
|   waterway: | ||||
|     - waterfall | ||||
|     - river | ||||
|     - canal | ||||
|     - dam | ||||
|     - dock | ||||
|     - boatyard | ||||
|  | ||||
|  | ||||
| shopping: | ||||
|   shop: | ||||
| @@ -23,10 +43,47 @@ sightseeing: | ||||
|     - museum | ||||
|     - attraction | ||||
|     - gallery | ||||
|     - artwork | ||||
|     - aquarium | ||||
|   historic: '' | ||||
|   amenity: | ||||
|     - planetarium | ||||
|     - place_of_worship | ||||
|     - fountain | ||||
|     - townhall | ||||
|   water: | ||||
|     - reflecting_pool | ||||
|   bridge: | ||||
|     - aqueduct | ||||
|     - viaduct | ||||
|     - boardwalk | ||||
|     - cantilever | ||||
|     - abandoned | ||||
|   building: | ||||
|     - church | ||||
|     - chapel | ||||
|     - mosque | ||||
|     - synagogue | ||||
|     - ruins | ||||
|     - temple | ||||
|     - government | ||||
|     - cathedral | ||||
|     - castle | ||||
|     - museum | ||||
|  | ||||
|  | ||||
|  | ||||
|  | ||||
| # to be used later on | ||||
| restauration: | ||||
|   shop: | ||||
|     - coffee | ||||
|     - bakery | ||||
|     - restaurant | ||||
|     - pastry | ||||
|   amenity: | ||||
|     - restaurant | ||||
|     - cafe | ||||
|     - ice_cream | ||||
|     - food_court | ||||
|     - biergarten | ||||
|   | ||||
| @@ -21,8 +21,8 @@ if constants.MEMCACHED_HOST_PATH is None: | ||||
| else: | ||||
|     client = Client( | ||||
|         constants.MEMCACHED_HOST_PATH, | ||||
|         timeout=1, | ||||
|         allow_unicode_keys=True, | ||||
|         encoding='utf-8', | ||||
|         serde=serde.pickle_serde | ||||
|         timeout = 1, | ||||
|         allow_unicode_keys = True, | ||||
|         encoding = 'utf-8', | ||||
|         serde = serde.pickle_serde | ||||
|     ) | ||||
|   | ||||
| @@ -5,7 +5,7 @@ from uuid import uuid4 | ||||
|  | ||||
| # Output to frontend | ||||
| class Landmark(BaseModel) : | ||||
|      | ||||
|  | ||||
|     # Properties of the landmark | ||||
|     name : str | ||||
|     type: Literal['sightseeing', 'nature', 'shopping', 'start', 'finish'] | ||||
| @@ -22,22 +22,22 @@ class Landmark(BaseModel) : | ||||
|  | ||||
|     # Unique ID of a given landmark | ||||
|     uuid: str = Field(default_factory=uuid4) | ||||
|      | ||||
|  | ||||
|     # Additional properties depending on specific tour | ||||
|     must_do : Optional[bool] = False | ||||
|     must_avoid : Optional[bool] = False | ||||
|     is_secondary : Optional[bool] = False                       # TODO future    | ||||
|      | ||||
|  | ||||
|     time_to_reach_next : Optional[int] = 0 | ||||
|     next_uuid : Optional[str] = None | ||||
|      | ||||
|  | ||||
|     def __str__(self) -> str: | ||||
|         time_to_next_str = f", time_to_next={self.time_to_reach_next}" if self.time_to_reach_next else "" | ||||
|         is_secondary_str = f", secondary" if self.is_secondary else "" | ||||
|         type_str = '(' + self.type + ')' | ||||
|         if self.type in ["start", "finish", "nature", "shopping"] : type_str += '\t ' | ||||
|         return f'Landmark{type_str}: [{self.name} @{self.location}, score={self.attractiveness}{time_to_next_str}{is_secondary_str}]' | ||||
|      | ||||
|  | ||||
|     def distance(self, value: 'Landmark') -> float: | ||||
|         return (self.location[0] - value.location[0])**2 + (self.location[1] - value.location[1])**2 | ||||
|  | ||||
|   | ||||
| @@ -22,7 +22,8 @@ class Trip(BaseModel): | ||||
|  | ||||
|         # Store the trip in the cache | ||||
|         cache_client.set(f"trip_{trip.uuid}", trip) | ||||
|         cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600) | ||||
|         # make sure to await the result (noreply=False). Otherwise the cache might not be inplace when the trip is actually requested | ||||
|         cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600, noreply=False) | ||||
|         # is equivalent to: | ||||
|         # for landmark in landmarks: | ||||
|         #     cache_client.set(f"landmark_{landmark.uuid}", landmark, expire=3600) | ||||
|   | ||||
| @@ -23,7 +23,7 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] = | ||||
|         sightseeing=Preference(type='sightseeing', score = 5), | ||||
|         nature=Preference(type='nature', score = 5), | ||||
|         shopping=Preference(type='shopping', score = 5), | ||||
|         max_time_minute=100, | ||||
|         max_time_minute=15, | ||||
|         detour_tolerance_minute=0 | ||||
|     ) | ||||
|  | ||||
| @@ -74,6 +74,7 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] = | ||||
| # test(tuple((48.8344400, 2.3220540)))       # Café Chez César  | ||||
| # test(tuple((48.8375946, 2.2949904)))       # Point random | ||||
| # test(tuple((47.377859, 8.540585)))         # Zurich HB | ||||
| # test(tuple((45.758217, 4.831814)))      # Lyon Bellecour | ||||
| test(tuple((48.5848435, 7.7332974)))      # Strasbourg Gare | ||||
| # test(tuple((45.758217, 4.831814)))         # Lyon Bellecour | ||||
| # test(tuple((48.5848435, 7.7332974)))       # Strasbourg Gare | ||||
| # test(tuple((48.2067858, 16.3692340)))      # Vienne | ||||
| test(tuple((48.084588, 7.280405)))         # Turckheim  | ||||
|   | ||||
| @@ -1,5 +1,5 @@ | ||||
| import yaml | ||||
| from geopy.distance import geodesic | ||||
| from math import sin, cos, sqrt, atan2, radians | ||||
|  | ||||
| import constants | ||||
|  | ||||
| @@ -8,6 +8,7 @@ with constants.OPTIMIZER_PARAMETERS_PATH.open('r') as f: | ||||
|     DETOUR_FACTOR = parameters['detour_factor'] | ||||
|     AVERAGE_WALKING_SPEED = parameters['average_walking_speed'] | ||||
|  | ||||
| EARTH_RADIUS_KM = 6373 | ||||
|  | ||||
| def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int: | ||||
|     """ | ||||
| @@ -22,16 +23,28 @@ def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int: | ||||
|     """ | ||||
|  | ||||
|  | ||||
|     # Compute the straight-line distance in km | ||||
|     if p1 == p2 : | ||||
|     if p1 == p2: | ||||
|         return 0 | ||||
|     else:  | ||||
|         dist = geodesic(p1, p2).kilometers | ||||
|     else: | ||||
|         # Compute the distance in km along the surface of the Earth | ||||
|         # (assume spherical Earth) | ||||
|         # this is the haversine formula, stolen from stackoverflow | ||||
|         # in order to not use any external libraries | ||||
|         lat1, lon1 = radians(p1[0]), radians(p1[1]) | ||||
|         lat2, lon2 = radians(p2[0]), radians(p2[1]) | ||||
|  | ||||
|     # Consider the detour factor for average cityto deterline walking distance (in km) | ||||
|     walk_dist = dist*DETOUR_FACTOR | ||||
|         dlon = lon2 - lon1 | ||||
|         dlat = lat2 - lat1 | ||||
|  | ||||
|         a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2 | ||||
|         c = 2 * atan2(sqrt(a), sqrt(1 - a)) | ||||
|  | ||||
|         distance = EARTH_RADIUS_KM * c | ||||
|  | ||||
|     # Consider the detour factor for average an average city | ||||
|     walk_distance = distance * DETOUR_FACTOR | ||||
|  | ||||
|     # Time to walk this distance (in minutes) | ||||
|     walk_time = walk_dist/AVERAGE_WALKING_SPEED*60 | ||||
|     walk_time = walk_distance / AVERAGE_WALKING_SPEED * 60 | ||||
|  | ||||
|     return round(walk_time) | ||||
|   | ||||
| @@ -10,7 +10,8 @@ from structs.landmark import Landmark | ||||
| from .take_most_important import take_most_important | ||||
| import constants | ||||
|  | ||||
|  | ||||
| # silence the overpass logger | ||||
| logging.getLogger('OSMPythonTools').setLevel(level=logging.CRITICAL) | ||||
|  | ||||
|  | ||||
| class LandmarkManager: | ||||
| @@ -93,6 +94,8 @@ class LandmarkManager: | ||||
|         if preferences.shopping.score != 0: | ||||
|             score_function = lambda score: score * 10 * preferences.shopping.score / 5 | ||||
|             current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['shopping'], preferences.shopping.type, score_function) | ||||
|             # set time for all shopping activites : | ||||
|             for landmark in current_landmarks : landmark.duration = 45 | ||||
|             all_landmarks.update(current_landmarks) | ||||
|  | ||||
|  | ||||
| @@ -206,11 +209,15 @@ class LandmarkManager: | ||||
|             query = overpassQueryBuilder( | ||||
|                 bbox = bbox, | ||||
|                 elementType = ['way', 'relation'], | ||||
|                 # selector can in principle be a list already, | ||||
|                 # but it generates the intersection of the queries | ||||
|                 # we want the union | ||||
|                 selector = sel, | ||||
|                 # conditions = [], | ||||
|                 conditions = ['count_tags()>5'], | ||||
|                 includeCenter = True, | ||||
|                 out = 'body' | ||||
|                 ) | ||||
|             self.logger.debug(f"Query: {query}") | ||||
|  | ||||
|             try: | ||||
|                 result = self.overpass.query(query) | ||||
| @@ -241,11 +248,11 @@ class LandmarkManager: | ||||
|                 image_url = None | ||||
|                 name_en = None | ||||
|  | ||||
|                 # remove specific tags | ||||
|                 # Adjust scoring | ||||
|                 skip = False | ||||
|                 for tag in elem.tags().keys(): | ||||
|                     if "pay" in tag: | ||||
|                         # payment options are a good sign | ||||
|                         # payment options are misleading and should not count for the scoring. | ||||
|                         score += self.pay_bonus | ||||
|  | ||||
|                     if "disused" in tag: | ||||
| @@ -258,10 +265,12 @@ class LandmarkManager: | ||||
|                         score += self.wikipedia_bonus | ||||
|  | ||||
|                     if "viewpoint" in tag: | ||||
|                         # viewpoints must count more | ||||
|                         score += self.viewpoint_bonus | ||||
|                         duration = 10 | ||||
|  | ||||
|                     if "image" in tag: | ||||
|                         # images must count more | ||||
|                         score += self.image_bonus | ||||
|  | ||||
|                     if elem_type != "nature": | ||||
| @@ -277,6 +286,7 @@ class LandmarkManager: | ||||
|                             skip = True | ||||
|                             break | ||||
|  | ||||
|                     # Extract image, website and english name | ||||
|                     if tag in ['website', 'contact:website']: | ||||
|                         website_url = elem.tag(tag) | ||||
|                     if tag == 'image': | ||||
| @@ -290,10 +300,9 @@ class LandmarkManager: | ||||
|                 score = score_function(score) | ||||
|                 if "place_of_worship" in elem.tags().values(): | ||||
|                     score = score * self.church_coeff | ||||
|                     duration = 15 | ||||
|                     duration = 10 | ||||
|                  | ||||
|                 elif "museum" in elem.tags().values(): | ||||
|                     score = score * self.church_coeff | ||||
|                 elif "museum" in elem.tags().values() or "aquarium" in elem.tags().values() or "planetarium" in elem.tags().values(): | ||||
|                     duration = 60 | ||||
|                  | ||||
|                 else: | ||||
| @@ -336,7 +345,7 @@ def dict_to_selector_list(d: dict) -> list: | ||||
|     for key, value in d.items(): | ||||
|         if type(value) == list: | ||||
|             val = '|'.join(value) | ||||
|             return_list.append(f'{key}~"{val}"') | ||||
|             return_list.append(f'{key}~"^({val})$"') | ||||
|         elif type(value) == str and len(value) == 0: | ||||
|             return_list.append(f'{key}') | ||||
|         else: | ||||
|   | ||||
| @@ -3,7 +3,6 @@ import numpy as np | ||||
|  | ||||
| from scipy.optimize import linprog | ||||
| from collections import defaultdict, deque | ||||
| from geopy.distance import geodesic | ||||
|  | ||||
| from structs.landmark import Landmark | ||||
| from .get_time_separation import get_time | ||||
| @@ -488,7 +487,7 @@ class Optimizer: | ||||
|  | ||||
|         # Raise error if no solution is found | ||||
|         if not res.success : | ||||
|             raise ArithmeticError("No solution could be found, the problem is overconstrained. Please adapt your must_dos") | ||||
|             raise ArithmeticError("No solution could be found, the problem is overconstrained. Try with a longer trip (>30 minutes).") | ||||
|  | ||||
|         # If there is a solution, we're good to go, just check for connectiveness | ||||
|         order, circles = self.is_connected(res.x) | ||||
|   | ||||
| @@ -2,6 +2,7 @@ import yaml, logging | ||||
|  | ||||
| from shapely import buffer, LineString, Point, Polygon, MultiPoint, concave_hull | ||||
| from math import pi | ||||
| from typing import List | ||||
|  | ||||
| from structs.landmark import Landmark | ||||
| from . import take_most_important, get_time_separation | ||||
| @@ -133,6 +134,21 @@ class Refiner : | ||||
|             i += 1 | ||||
|      | ||||
|         return tour | ||||
|      | ||||
|     def integrate_landmarks(self, sub_list: List[Landmark], main_list: List[Landmark]) : | ||||
|         """ | ||||
|         Inserts 'sub_list' of Landmarks inside the 'main_list' by leaving the ends untouched. | ||||
|          | ||||
|         Args:  | ||||
|             sub_list    : the list of Landmarks to be inserted inside of the 'main_list'. | ||||
|             main_list   : the original list with start and finish. | ||||
|  | ||||
|         Returns: | ||||
|             the full list. | ||||
|         """ | ||||
|         sub_list.append(main_list[-1])          # add finish back | ||||
|         return main_list[:-1] + sub_list        # create full set of possible landmarks | ||||
|  | ||||
|  | ||||
|  | ||||
|     def find_shortest_path_through_all_landmarks(self, landmarks: list[Landmark]) -> tuple[list[Landmark], Polygon]: | ||||
| @@ -253,6 +269,11 @@ class Refiner : | ||||
|         except : | ||||
|             better_tour_poly = concave_hull(MultiPoint(coords))  # Create concave hull with "core" of tour leaving out start and finish | ||||
|             xs, ys = better_tour_poly.exterior.xy | ||||
|             """  | ||||
|             ERROR HERE :  | ||||
|                 Exception has occurred: AttributeError | ||||
|                 'LineString' object has no attribute 'exterior' | ||||
|             """ | ||||
|  | ||||
|  | ||||
|         # reverse the xs and ys | ||||
| @@ -315,26 +336,30 @@ class Refiner : | ||||
|  | ||||
|         self.logger.info(f"Using {len(minor_landmarks)} minor landmarks around the predicted path") | ||||
|  | ||||
|         # full set of visitable landmarks | ||||
|         full_set = base_tour[:-1] + minor_landmarks   # create full set of possible landmarks (without finish) | ||||
|         full_set.append(base_tour[-1])                # add finish back | ||||
|         # Full set of visitable landmarks. | ||||
|         full_set = self.integrate_landmarks(minor_landmarks, base_tour)     # could probably be optimized with less overhead | ||||
|  | ||||
|         # get a new tour | ||||
|         # Generate a new tour with the optimizer. | ||||
|         new_tour = self.optimizer.solve_optimization( | ||||
|             max_time = max_time + detour, | ||||
|             landmarks = full_set,  | ||||
|             max_landmarks = self.max_landmarks_refiner | ||||
|         ) | ||||
|  | ||||
|         # If unsuccessful optimization, use the base_tour. | ||||
|         if new_tour is None: | ||||
|             self.logger.warning("No solution found for the refined tour. Returning the initial tour.") | ||||
|             new_tour = base_tour | ||||
|  | ||||
|         # If only one landmark, return it. | ||||
|         if len(new_tour) < 4 : | ||||
|             return new_tour | ||||
|  | ||||
|         # Find shortest path using the nearest neighbor heuristic | ||||
|         # Find shortest path using the nearest neighbor heuristic. | ||||
|         better_tour, better_poly = self.find_shortest_path_through_all_landmarks(new_tour) | ||||
|  | ||||
|         # Fix the tour using Polygons if the path looks weird | ||||
|         # Fix the tour using Polygons if the path looks weird.  | ||||
|         # Conditions : circular trip and invalid polygon. | ||||
|         if base_tour[0].location == base_tour[-1].location and not better_poly.is_valid : | ||||
|             better_tour = self.fix_using_polygon(better_tour) | ||||
|  | ||||
|   | ||||
| @@ -37,12 +37,12 @@ jobs: | ||||
|           REF_NAME: ${{ github.ref_name }} | ||||
|         run: | ||||
|           # remove the 'v' prefix from the tag name | ||||
|           echo "VERSION_NAME=${REF_NAME//v}" >> $GITHUB_ENV | ||||
|           echo "BUILD_NAME=${REF_NAME//v}" >> $GITHUB_ENV | ||||
|  | ||||
|       - name: Load secrets from github | ||||
|         run: | | ||||
|           echo "${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}" | base64 -d > secrets.properties | ||||
|           echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > fastlane/google-key.json | ||||
|           echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > google-key.json | ||||
|           echo "${{ secrets.ANDROID_KEYSTORE_BASE64 }}" | base64 -d > release.keystore | ||||
|         working-directory: android | ||||
|  | ||||
| @@ -53,4 +53,6 @@ jobs: | ||||
|       - name: Run fastlane lane | ||||
|         run: bundle exec fastlane deploy_testing | ||||
|         working-directory: android | ||||
|         # the environment variable VERSION_NAME is implicitly available | ||||
|         env: | ||||
|           BUILD_NUMBER: ${{ github.run_number }} | ||||
|           # BUILD_NAME is implicitly available | ||||
|   | ||||
| @@ -30,14 +30,19 @@ if (flutterVersionName == null) { | ||||
|  | ||||
|  | ||||
| def secretPropertiesFile = rootProject.file('secrets.properties') | ||||
| def fallbackPropertiesFile = rootProject.file('fallback.properties') | ||||
| def secretProperties = new Properties() | ||||
|  | ||||
| if (secretPropertiesFile.exists()) { | ||||
|     secretPropertiesFile.withReader('UTF-8') { reader -> | ||||
|         secretProperties.load(reader) | ||||
|     } | ||||
| } else if (fallbackPropertiesFile.exists()) { | ||||
|     fallbackPropertiesFile.withReader('UTF-8') { reader -> | ||||
|         secretProperties.load(reader) | ||||
|     } | ||||
| } else { | ||||
|     throw new GradleException("Secrets file secrets.properties not found") | ||||
|     throw new GradleException("Secrets file (secrets.properties, fallback.properties) not found") | ||||
| } | ||||
|  | ||||
|  | ||||
|   | ||||
| @@ -1 +1,3 @@ | ||||
| # This file mirrors the state of secrets.properties as a reference for the developer. | ||||
| # And as a fallback for build.gradle | ||||
| MAPS_API_KEY=Key | ||||
| @@ -5,22 +5,28 @@ default_platform(:android) | ||||
|  | ||||
| platform :android do | ||||
|  | ||||
|   desc "Deploy a new version as a preview version" | ||||
|   desc "Deploy a new version to closed testing" | ||||
|   lane :deploy_testing do | ||||
|     version_name = ENV["VERSION_NAME"] | ||||
|     build_name = ENV["BUILD_NAME"] | ||||
|     build_number = ENV["BUILD_NUMBER"] | ||||
|  | ||||
|     sh( | ||||
|       "flutter", | ||||
|       "build", | ||||
|       "appbundle", | ||||
|       "--release", | ||||
|       "--build-name=#{version_name}", | ||||
|       "--build-name=#{build_name}", | ||||
|       "--build-number=#{build_number}", | ||||
|       ) | ||||
|      | ||||
|     upload_to_play_store( | ||||
|       track: 'alpha', | ||||
|       skip_upload_apk: true, | ||||
|       skip_upload_changelogs: true, | ||||
|       aab: "../build/app/outputs/bundle/release/app-release.aab", | ||||
|       # this is the default output of flutter build ... --release | ||||
|       # in particular this the build folder lies in the flutter root folder | ||||
|       # this is the parent folder for the android folder | ||||
|       ) | ||||
|   end | ||||
|  | ||||
| @@ -28,6 +34,7 @@ platform :android do | ||||
|   lane :deploy_release do | ||||
|     gradle( | ||||
|       task: "clean assembleRelease", | ||||
|       # todo update to a flutter call | ||||
|       properties: { | ||||
|         # loaded from environment | ||||
|         "android.injected.version.name" => ENV["VERSION_NAME"], | ||||
| @@ -37,6 +44,10 @@ platform :android do | ||||
|       track: "production", | ||||
|       skip_upload_apk: true, | ||||
|       skip_upload_changelogs: true, | ||||
|       aab: "../build/app/outputs/bundle/release/app-release.aab", | ||||
|       # this is the default output of flutter build ... --release | ||||
|       # in particular this the build folder lies in the flutter root folder | ||||
|       # this is the parent folder for the android folder | ||||
|     ) | ||||
|   end | ||||
| end | ||||
|   | ||||
| Before Width: | Height: | Size: 106 KiB | 
| Before Width: | Height: | Size: 1.3 MiB | 
| Before Width: | Height: | Size: 637 KiB | 
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| Before Width: | Height: | Size: 360 KiB | 
| Before Width: | Height: | Size: 106 KiB | 
| Before Width: | Height: | Size: 1.3 MiB | 
| Before Width: | Height: | Size: 637 KiB | 
| Before Width: | Height: | Size: 573 KiB | 
| Before Width: | Height: | Size: 175 KiB | 
| Before Width: | Height: | Size: 360 KiB |