1 Commits

Author SHA1 Message Date
1e54ff45d5 remove gradle again
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2024-09-25 17:39:08 +02:00
42 changed files with 1443 additions and 1491 deletions

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

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

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

2208
backend/Pipfile.lock generated

File diff suppressed because it is too large Load Diff

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

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@@ -63,7 +63,7 @@ def new_trip(preferences: Preferences, start: tuple[float, float], end: tuple[fl
refined_tour = refiner.refine_optimization(landmarks, base_tour, preferences.max_time_minute, preferences.detour_tolerance_minute)
linked_tour = LinkedLandmarks(refined_tour)
# upon creation of the trip, persistence of both the trip and its landmarks is ensured
# upon creation of the trip, persistence of both the trip and its landmarks is ensured. Ca
trip = Trip.from_linked_landmarks(linked_tour, cache_client)
return trip
@@ -84,4 +84,4 @@ def get_landmark(landmark_uuid: str) -> Landmark:
landmark = cache_client.get(f"landmark_{landmark_uuid}")
return landmark
except KeyError:
raise HTTPException(status_code=404, detail="Landmark not found")
raise HTTPException(status_code=404, detail="Landmark not found")

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

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@@ -1,6 +1,6 @@
city_bbox_side: 7500 #m
radius_close_to: 50
church_coeff: 0.5
church_coeff: 0.75
nature_coeff: 1.25
overall_coeff: 10
tag_exponent: 1.15

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@@ -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
)

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@@ -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']
@@ -14,39 +14,31 @@ class Landmark(BaseModel) :
osm_id : int
attractiveness : int
n_tags : int
image_url : Optional[str] = None
image_url : Optional[str] = None # TODO future
website_url : Optional[str] = None
wikipedia_url : Optional[str] = None
description : Optional[str] = None # TODO future
duration : Optional[int] = 0
duration : Optional[int] = 0 # TODO future
name_en : Optional[str] = None
# Unique ID of a given landmark
uuid: str = Field(default_factory=uuid4)
uuid: str = Field(default_factory=uuid4) # TODO implement this ASAP
# Additional properties depending on specific tour
must_do : Optional[bool] = False
must_avoid : Optional[bool] = False
is_secondary : Optional[bool] = False # TODO future
time_to_reach_next : Optional[int] = 0 # TODO fix this in existing code
next_uuid : Optional[str] = None # TODO implement this ASAP
time_to_reach_next : Optional[int] = 0
next_uuid : Optional[str] = None
def __hash__(self) -> int:
return self.uuid.int
def __str__(self) -> str:
time_to_next_str = f", time_to_next={self.time_to_reach_next}" if self.time_to_reach_next else ""
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
def __hash__(self) -> int:
return hash(self.name)
def __eq__(self, value: 'Landmark') -> bool:
# eq and hash must be consistent
# in particular, if two objects are equal, their hash must be equal
# uuid and osm_id are just shortcuts to avoid comparing all the properties
# if they are equal, we know that the name is also equal and in turn the hash is equal
return self.uuid == value.uuid or self.osm_id == value.osm_id or (self.name == value.name and self.distance(value) < 0.001)

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@@ -22,10 +22,9 @@ class Trip(BaseModel):
# Store the trip in the cache
cache_client.set(f"trip_{trip.uuid}", trip)
# make sure to await the result (noreply=False). Otherwise the cache might not be inplace when the trip is actually requested
cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600, noreply=False)
cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600)
# is equivalent to:
# for landmark in landmarks:
# cache_client.set(f"landmark_{landmark.uuid}", landmark, expire=3600)
return trip
return trip

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@@ -1,5 +1,5 @@
import yaml
from math import sin, cos, sqrt, atan2, radians
from geopy.distance import geodesic
import constants
@@ -8,7 +8,6 @@ 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:
"""
@@ -17,34 +16,24 @@ def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int:
Args:
p1 (Tuple[float, float]): Coordinates of the starting location.
p2 (Tuple[float, float]): Coordinates of the destination.
detour (float): Detour factor affecting the distance.
speed (float): Walking speed in kilometers per hour.
Returns:
Returns:
int: Time to travel from p1 to p2 in minutes.
"""
if p1 == p2:
# Compute the straight-line distance in km
if p1 == p2 :
return 0
else:
# Compute the distance in km along the surface of the Earth
# (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])
else:
dist = geodesic(p1, p2).kilometers
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
# Consider the detour factor for average cityto deterline walking distance (in km)
walk_dist = dist*DETOUR_FACTOR
# Time to walk this distance (in minutes)
walk_time = walk_distance / AVERAGE_WALKING_SPEED * 60
walk_time = walk_dist/AVERAGE_WALKING_SPEED*60
return round(walk_time)

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@@ -1,17 +1,20 @@
import math
import math as m
import yaml
import logging
from OSMPythonTools.overpass import Overpass, overpassQueryBuilder
from OSMPythonTools.cachingStrategy import CachingStrategy, JSON
from pywikibot import ItemPage, Site
from pywikibot import config
config.put_throttle = 0
config.maxlag = 0
from structs.preferences import Preferences
from structs.preferences import Preferences, Preference
from structs.landmark import Landmark
from .take_most_important import take_most_important
import constants
# silence the overpass logger
logging.getLogger('OSMPythonTools').setLevel(level=logging.CRITICAL)
class LandmarkManager:
@@ -43,7 +46,7 @@ class LandmarkManager:
self.viewpoint_bonus = parameters['viewpoint_bonus']
self.pay_bonus = parameters['pay_bonus']
self.N_important = parameters['N_important']
with constants.OPTIMIZER_PARAMETERS_PATH.open('r') as f:
parameters = yaml.safe_load(f)
self.walking_speed = parameters['average_walking_speed']
@@ -66,42 +69,87 @@ class LandmarkManager:
preferences (Preferences): The user's preference settings that influence the landmark selection.
Returns:
tuple[list[Landmark], list[Landmark]]:
- A list of all existing landmarks.
- A list of the most important landmarks based on the user's preferences.
tuple[list[Landmark], list[Landmark]]:
- A list of all existing landmarks.
- A list of the most important landmarks based on the user's preferences.
"""
max_walk_dist = (preferences.max_time_minute/2)/60*self.walking_speed*1000/self.detour_factor
reachable_bbox_side = min(max_walk_dist, self.max_bbox_side)
# use set to avoid duplicates, this requires some __methods__ to be set in Landmark
all_landmarks = set()
L = []
bbox = self.create_bbox(center_coordinates, reachable_bbox_side)
# list for sightseeing
if preferences.sightseeing.score != 0:
score_function = lambda score: score * 10 * preferences.sightseeing.score / 5
current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['sightseeing'], preferences.sightseeing.type, score_function)
all_landmarks.update(current_landmarks)
score_function = lambda score: int(score*10*preferences.sightseeing.score/5) # self.count_elements_close_to(loc) +
L1 = self.fetch_landmarks(bbox, self.amenity_selectors['sightseeing'], preferences.sightseeing.type, score_function)
L += L1
# list for nature
if preferences.nature.score != 0:
score_function = lambda score: score * 10 * self.nature_coeff * preferences.nature.score / 5
current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['nature'], preferences.nature.type, score_function)
all_landmarks.update(current_landmarks)
score_function = lambda score: int(score*10*self.nature_coeff*preferences.nature.score/5) # self.count_elements_close_to(loc) +
L2 = self.fetch_landmarks(bbox, self.amenity_selectors['nature'], preferences.nature.type, score_function)
L += L2
# list for shopping
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)
all_landmarks.update(current_landmarks)
score_function = lambda score: int(score*10*preferences.shopping.score/5) # self.count_elements_close_to(loc) +
L3 = self.fetch_landmarks(bbox, self.amenity_selectors['shopping'], preferences.shopping.type, score_function)
L += L3
landmarks_constrained = take_most_important(all_landmarks, self.N_important)
self.logger.info(f'Generated {len(all_landmarks)} landmarks around {center_coordinates}, and constrained to {len(landmarks_constrained)} most important ones.')
L = self.remove_duplicates(L)
# self.correct_score(L, preferences)
return all_landmarks, landmarks_constrained
L_constrained = take_most_important(L, self.N_important)
self.logger.info(f'Generated {len(L)} landmarks around {center_coordinates}, and constrained to {len(L_constrained)} most important ones.')
return L, L_constrained
def remove_duplicates(self, landmarks: list[Landmark]) -> list[Landmark]:
"""
Removes duplicate landmarks based on their names from the given list. Only retains the landmark with highest score
Parameters:
landmarks (list[Landmark]): A list of Landmark objects.
Returns:
list[Landmark]: A list of unique Landmark objects based on their names.
"""
L_clean = []
names = []
for landmark in landmarks:
if landmark.name in names:
continue
else:
names.append(landmark.name)
L_clean.append(landmark)
return L_clean
def correct_score(self, landmarks: list[Landmark], preferences: Preferences) -> None:
"""
Adjust the attractiveness score of each landmark in the list based on user preferences.
This method updates the attractiveness of each landmark by scaling it according to the user's preference score.
The score adjustment is computed using a simple linear transformation based on the preference score.
Args:
landmarks (list[Landmark]): A list of landmarks whose scores need to be corrected.
preferences (Preferences): The user's preference settings that influence the attractiveness score adjustment.
"""
score_dict = {
preferences.sightseeing.type: preferences.sightseeing.score,
preferences.nature.type: preferences.nature.score,
preferences.shopping.type: preferences.shopping.score
}
for landmark in landmarks:
landmark.attractiveness = int(landmark.attractiveness * score_dict[landmark.type] / 5)
def count_elements_close_to(self, coordinates: tuple[float, float]) -> int:
@@ -124,7 +172,7 @@ class LandmarkManager:
radius = self.radius_close_to
alpha = (180 * radius) / (6371000 * math.pi)
alpha = (180*radius) / (6371000*m.pi)
bbox = {'latLower':lat-alpha,'lonLower':lon-alpha,'latHigher':lat+alpha,'lonHigher': lon+alpha}
# Build the query to find elements within the radius
@@ -168,7 +216,7 @@ class LandmarkManager:
# Convert distance to degrees
lat_diff = half_side_length_km / 111 # 1 degree latitude is approximately 111 km
lon_diff = half_side_length_km / (111 * math.cos(math.radians(lat))) # Adjust for longitude based on latitude
lon_diff = half_side_length_km / (111 * m.cos(m.radians(lat))) # Adjust for longitude based on latitude
# Calculate bbox
min_lat = lat - lat_diff
@@ -207,32 +255,32 @@ 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 = ['count_tags()>5'],
# conditions = [],
includeCenter = True,
out = 'body'
)
self.logger.debug(f"Query: {query}")
try:
result = self.overpass.query(query)
except Exception as e:
self.logger.error(f"Error fetching landmarks: {e}")
continue
return
for elem in result.elements():
name = elem.tag('name')
location = (elem.centerLat(), elem.centerLon())
name = elem.tag('name') # Add name
location = (elem.centerLat(), elem.centerLon()) # Add coordinates (lat, lon)
# TODO: exclude these from the get go
# skip if unprecise location
if name is None or location[0] is None:
continue
# skip if unused
# if 'disused:leisure' in elem.tags().keys():
# continue
# skip if part of another building
if 'building:part' in elem.tags().keys() and elem.tag('building:part') == 'yes':
continue
@@ -243,6 +291,7 @@ class LandmarkManager:
n_tags = len(elem.tags().keys()) # Add number of tags
score = n_tags**self.tag_exponent # Add score
website_url = None
wikpedia_url = None
image_url = None
name_en = None
@@ -250,17 +299,22 @@ class LandmarkManager:
skip = False
for tag in elem.tags().keys():
if "pay" in tag:
# payment options are a good sign
score += self.pay_bonus
score += self.pay_bonus # discard payment options for tags
if "disused" in tag:
# skip disused amenities
skip = True
skip = True # skip disused amenities
break
if "wiki" in tag:
# wikipedia entries count more
score += self.wikipedia_bonus
score += self.wikipedia_bonus # wikipedia entries count more
# if tag == "wikidata":
# Q = elem.tag('wikidata')
# site = Site("wikidata", "wikidata")
# item = ItemPage(site, Q)
# item.get()
# n_languages = len(item.labels)
# n_tags += n_languages/10
if "viewpoint" in tag:
score += self.viewpoint_bonus
@@ -281,43 +335,47 @@ class LandmarkManager:
if tag == "building" and elem.tag('building') in ['retail', 'supermarket', 'parking']:
skip = True
break
if tag in ['website', 'contact:website']:
# Get additional information
# if tag == 'wikipedia' :
# wikpedia_url = elem.tag('wikipedia')
if tag in ['website', 'contact:website'] :
website_url = elem.tag(tag)
if tag == 'image':
if tag == 'image' :
image_url = elem.tag('image')
if tag =='name:en':
if tag =='name:en' :
name_en = elem.tag('name:en')
if skip:
continue
score = score_function(score)
if "place_of_worship" in elem.tags().values():
score = score * self.church_coeff
if "place_of_worship" in elem.tags().values() :
score = int(score*self.church_coeff)
duration = 15
elif "museum" in elem.tags().values():
score = score * self.church_coeff
elif "museum" in elem.tags().values() :
score = int(score*self.church_coeff)
duration = 60
else:
else :
duration = 5
# finally create our own landmark object
# Generate the landmark and append it to the list
landmark = Landmark(
name = name,
type = elem_type,
location = location,
osm_type = osm_type,
osm_id = osm_id,
attractiveness = int(score),
must_do = False,
n_tags = int(n_tags),
duration = int(duration),
name_en = name_en,
image_url = image_url,
website_url = website_url
name=name,
type=elem_type,
location=location,
osm_type=osm_type,
osm_id=osm_id,
attractiveness=score,
must_do=False,
n_tags=int(n_tags),
duration = duration,
name_en=name_en,
image_url=image_url,
# wikipedia_url=wikpedia_url,
website_url=website_url
)
return_list.append(landmark)
@@ -341,7 +399,7 @@ def dict_to_selector_list(d: dict) -> list:
for key, value in d.items():
if type(value) == list:
val = '|'.join(value)
return_list.append(f'{key}~"^({val})$"')
return_list.append(f'{key}~"{val}"')
elif type(value) == str and len(value) == 0:
return_list.append(f'{key}')
else:

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@@ -3,6 +3,7 @@ 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

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

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@@ -41,9 +41,10 @@ jobs:
- name: Load secrets from github
run: |
echo "${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}" | base64 -d > secrets.properties
echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > google-key.json
echo "${{ secrets.ANDROID_KEYSTORE_BASE64 }}" | base64 -d > release.keystore
echo "${{ secrets.ANDROID_SECRET_PROPERTIES }}" > secrets.properties
echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON }}" > google-key.json
# decode the base64 encoded google key
base64 -d ${{ secrets.ANDROID_KEYSTORE_BASE64 }} > release.keystore
working-directory: android
- name: Install fastlane

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

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

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@@ -21,10 +21,6 @@ platform :android do
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
@@ -41,10 +37,6 @@ platform :android do
track: "production",
skip_upload_apk: true,
skip_upload_changelogs: true,
aab: "../build/app/outputs/bundle/release/app-release.aab",
# this is the default output of flutter build ... --release
# in particular this the build folder lies in the flutter root folder
# this is the parent folder for the android folder
)
end
end

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

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

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@@ -1,50 +1,111 @@
import 'package:flutter/material.dart';
import 'dart:developer';
import 'package:anyway/constants.dart';
import 'package:anyway/structs/trip.dart';
import 'package:auto_size_text/auto_size_text.dart';
import 'package:anyway/pages/current_trip.dart';
import 'package:anyway/structs/trip.dart';
import 'package:flutter/material.dart';
class CurrentTripGreeter extends StatefulWidget {
class Greeter extends StatefulWidget {
final Trip trip;
CurrentTripGreeter({
super.key,
Greeter({
required this.trip,
});
@override
State<CurrentTripGreeter> createState() => _CurrentTripGreeterState();
State<Greeter> createState() => _GreeterState();
}
class _CurrentTripGreeterState extends State<CurrentTripGreeter> {
@override
Widget build(BuildContext context) => Center(
child: FutureBuilder(
future: widget.trip.cityName,
builder: (BuildContext context, AsyncSnapshot<String> snapshot) {
if (snapshot.hasData) {
return AutoSizeText(
maxLines: 1,
'Welcome to ${snapshot.data}!',
style: greeterStyle
);
} else if (snapshot.hasError) {
return AutoSizeText(
maxLines: 1,
'Welcome to your trip!',
style: greeterStyle
);
} else {
return AutoSizeText(
maxLines: 1,
'Welcome to ...',
style: greeterStyle
);
}
}
)
);
class _GreeterState extends State<Greeter> {
Widget greeterBuilder (BuildContext context, Widget? child) {
final Shader textGradient = APP_GRADIENT.createShader(Rect.fromLTWH(0.0, 0.0, 200.0, 70.0));
TextStyle greeterStyle = TextStyle(
foreground: Paint()..shader = textGradient,
fontWeight: FontWeight.bold,
fontSize: 26
);
Widget topGreeter;
if (widget.trip.uuid != 'pending') {
topGreeter = FutureBuilder(
future: widget.trip.cityName,
builder: (BuildContext context, AsyncSnapshot<String> snapshot) {
if (snapshot.hasData) {
return AutoSizeText(
maxLines: 1,
'Welcome to ${snapshot.data}!',
style: greeterStyle
);
} else if (snapshot.hasError) {
log('Error while fetching city name');
return AutoSizeText(
maxLines: 1,
'Welcome to your trip!',
style: greeterStyle
);
} else {
return AutoSizeText(
maxLines: 1,
'Welcome to ...',
style: greeterStyle
);
}
}
);
} else {
// still awaiting the trip
// We can hopefully infer the city name from the cityName future
// Show a linear loader at the bottom and an info message above
topGreeter = Column(
mainAxisAlignment: MainAxisAlignment.end,
children: [
FutureBuilder(
future: widget.trip.cityName,
builder: (BuildContext context, AsyncSnapshot<String> snapshot) {
if (snapshot.hasData) {
return AutoSizeText(
maxLines: 1,
'Generating your trip to ${snapshot.data}...',
style: greeterStyle
);
} else if (snapshot.hasError) {
// the exact error is shown in the central part of the trip overview. No need to show it here
return AutoSizeText(
maxLines: 1,
'Error while loading trip.',
style: greeterStyle
);
}
return AutoSizeText(
maxLines: 1,
'Generating your trip...',
style: greeterStyle
);
}
),
Padding(
padding: EdgeInsets.all(5),
child: const LinearProgressIndicator()
)
]
);
}
return Center(
child: topGreeter,
);
}
@override
Widget build(BuildContext context) {
return ListenableBuilder(
listenable: widget.trip,
builder: greeterBuilder,
);
}
}

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

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

View File

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

View File

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

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

View File

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

View File

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