Better landmark finding #27
@ -9,9 +9,9 @@ name = "pypi"
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numpy = "*"
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numpy = "*"
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fastapi = "*"
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fastapi = "*"
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pydantic = "*"
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pydantic = "*"
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geopy = "*"
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shapely = "*"
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shapely = "*"
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scipy = "*"
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scipy = "*"
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osmpythontools = "*"
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osmpythontools = "*"
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pywikibot = "*"
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pywikibot = "*"
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pymemcache = "*"
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pymemcache = "*"
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fastapi-cli = "*"
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Load Diff
@ -1 +1 @@
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Subproject commit 8927f278f32bf0eca169ce4b13fbde8a4ed57274
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Subproject commit 718df09e88b63c9524c882ccbb8247ca1448d3ff
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@ -16,7 +16,7 @@ OSM_CACHE_DIR = Path(cache_dir_string)
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import logging
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import logging
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# if we are in a debug session, set verbose and rich logging
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# if we are in a debug session, set verbose and rich logging
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if os.getenv('DEBUG', False):
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if os.getenv('DEBUG', "false") == "true":
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from rich.logging import RichHandler
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from rich.logging import RichHandler
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logging.basicConfig(
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logging.basicConfig(
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level=logging.DEBUG,
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level=logging.DEBUG,
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@ -1,3 +1,6 @@
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# Tags were picked mostly arbitrarily, based on the OSM wiki and the OSM tags page.
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# See https://taginfo.openstreetmap.org for more inspiration.
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nature:
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nature:
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leisure: park
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leisure: park
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geological: ''
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geological: ''
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@ -11,7 +14,24 @@ nature:
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- alpine_hut
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- alpine_hut
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- viewpoint
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- viewpoint
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- zoo
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- zoo
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waterway: waterfall
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- resort
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- picnic_site
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water:
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- pond
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- lake
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- river
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- basin
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- stream
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- lagoon
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- rapids
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waterway:
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- waterfall
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- river
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- canal
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- dam
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- dock
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- boatyard
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shopping:
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shopping:
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shop:
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shop:
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@ -23,10 +43,48 @@ sightseeing:
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- museum
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- museum
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- attraction
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- attraction
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- gallery
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- gallery
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- artwork
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- aquarium
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historic: ''
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historic: ''
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amenity:
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amenity:
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- planetarium
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- planetarium
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- place_of_worship
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- place_of_worship
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- fountain
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- fountain
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- townhall
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water:
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water:
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- reflecting_pool
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- reflecting_pool
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bridge:
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- aqueduct
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- viaduct
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- boardwalk
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- cantilever
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- abandoned
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building:
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- church
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- chapel
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- mosque
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- synagogue
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- ruins
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- temple
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- government
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- cathedral
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- castle
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- museum
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# to be used later on
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restauration:
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shop:
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- coffee
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- bakery
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- restaurant
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- pastry
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amenity:
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- restaurant
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- cafe
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- ice_cream
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- food_court
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- biergarten
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@ -21,8 +21,8 @@ if constants.MEMCACHED_HOST_PATH is None:
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else:
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else:
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client = Client(
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client = Client(
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constants.MEMCACHED_HOST_PATH,
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constants.MEMCACHED_HOST_PATH,
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timeout=1,
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timeout = 1,
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allow_unicode_keys=True,
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allow_unicode_keys = True,
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encoding='utf-8',
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encoding = 'utf-8',
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serde=serde.pickle_serde
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serde = serde.pickle_serde
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)
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)
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@ -22,7 +22,8 @@ class Trip(BaseModel):
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# Store the trip in the cache
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# Store the trip in the cache
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cache_client.set(f"trip_{trip.uuid}", trip)
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cache_client.set(f"trip_{trip.uuid}", trip)
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cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600)
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# make sure to await the result (noreply=False). Otherwise the cache might not be inplace when the trip is actually requested
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cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600, noreply=False)
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# is equivalent to:
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# is equivalent to:
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# for landmark in landmarks:
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# for landmark in landmarks:
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# cache_client.set(f"landmark_{landmark.uuid}", landmark, expire=3600)
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# cache_client.set(f"landmark_{landmark.uuid}", landmark, expire=3600)
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@ -1,5 +1,5 @@
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import yaml
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import yaml
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from geopy.distance import geodesic
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from math import sin, cos, sqrt, atan2, radians
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import constants
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import constants
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@ -8,6 +8,7 @@ with constants.OPTIMIZER_PARAMETERS_PATH.open('r') as f:
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DETOUR_FACTOR = parameters['detour_factor']
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DETOUR_FACTOR = parameters['detour_factor']
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AVERAGE_WALKING_SPEED = parameters['average_walking_speed']
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AVERAGE_WALKING_SPEED = parameters['average_walking_speed']
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EARTH_RADIUS_KM = 6373
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def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int:
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def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int:
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"""
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"""
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@ -22,16 +23,28 @@ def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int:
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"""
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"""
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# Compute the straight-line distance in km
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if p1 == p2:
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if p1 == p2 :
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return 0
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return 0
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else:
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else:
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dist = geodesic(p1, p2).kilometers
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# Compute the distance in km along the surface of the Earth
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# (assume spherical Earth)
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# this is the haversine formula, stolen from stackoverflow
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# in order to not use any external libraries
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lat1, lon1 = radians(p1[0]), radians(p1[1])
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lat2, lon2 = radians(p2[0]), radians(p2[1])
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# Consider the detour factor for average cityto deterline walking distance (in km)
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dlon = lon2 - lon1
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walk_dist = dist*DETOUR_FACTOR
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dlat = lat2 - lat1
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a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2
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c = 2 * atan2(sqrt(a), sqrt(1 - a))
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distance = EARTH_RADIUS_KM * c
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# Consider the detour factor for average an average city
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walk_distance = distance * DETOUR_FACTOR
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# Time to walk this distance (in minutes)
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# Time to walk this distance (in minutes)
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walk_time = walk_dist/AVERAGE_WALKING_SPEED*60
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walk_time = walk_distance / AVERAGE_WALKING_SPEED * 60
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return round(walk_time)
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return round(walk_time)
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@ -10,7 +10,8 @@ from structs.landmark import Landmark
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from .take_most_important import take_most_important
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from .take_most_important import take_most_important
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import constants
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import constants
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# silence the overpass logger
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logging.getLogger('OSMPythonTools').setLevel(level=logging.CRITICAL)
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class LandmarkManager:
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class LandmarkManager:
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@ -206,11 +207,15 @@ class LandmarkManager:
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query = overpassQueryBuilder(
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query = overpassQueryBuilder(
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bbox = bbox,
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bbox = bbox,
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elementType = ['way', 'relation'],
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elementType = ['way', 'relation'],
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# selector can in principle be a list already,
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# but it generates the intersection of the queries
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# we want the union
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selector = sel,
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selector = sel,
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# conditions = [],
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conditions = ['count_tags()>5'],
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includeCenter = True,
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includeCenter = True,
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out = 'body'
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out = 'body'
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)
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)
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self.logger.debug(f"Query: {query}")
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try:
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try:
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result = self.overpass.query(query)
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result = self.overpass.query(query)
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@ -336,7 +341,7 @@ def dict_to_selector_list(d: dict) -> list:
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for key, value in d.items():
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for key, value in d.items():
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if type(value) == list:
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if type(value) == list:
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val = '|'.join(value)
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val = '|'.join(value)
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return_list.append(f'{key}~"{val}"')
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return_list.append(f'{key}~"^({val})$"')
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elif type(value) == str and len(value) == 0:
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elif type(value) == str and len(value) == 0:
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return_list.append(f'{key}')
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return_list.append(f'{key}')
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else:
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else:
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@ -3,7 +3,6 @@ import numpy as np
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from scipy.optimize import linprog
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from scipy.optimize import linprog
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from collections import defaultdict, deque
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from collections import defaultdict, deque
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from geopy.distance import geodesic
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from structs.landmark import Landmark
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from structs.landmark import Landmark
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from .get_time_separation import get_time
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from .get_time_separation import get_time
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@ -42,7 +42,7 @@ jobs:
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- name: Load secrets from github
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- name: Load secrets from github
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run: |
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run: |
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echo "${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}" | base64 -d > secrets.properties
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echo "${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}" | base64 -d > secrets.properties
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echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > fastlane/google-key.json
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echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > google-key.json
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echo "${{ secrets.ANDROID_KEYSTORE_BASE64 }}" | base64 -d > release.keystore
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echo "${{ secrets.ANDROID_KEYSTORE_BASE64 }}" | base64 -d > release.keystore
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working-directory: android
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working-directory: android
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Reference in New Issue
Block a user