37 lines
1.8 KiB
Python
37 lines
1.8 KiB
Python
def getClosestAirport(latitude, longitude, allowed_types):
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import csv
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from geopy.distance import geodesic
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plane = (latitude, longitude)
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with open('./dependencies/airports.csv', 'r', encoding='utf-8') as airport_csv:
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airport_csv_reader = csv.DictReader(filter(lambda row: row[0]!='#', airport_csv))
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for airport in airport_csv_reader:
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if airport['type'] in allowed_types:
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airport_coord = float(airport['latitude_deg']), float(airport['longitude_deg'])
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airport_dist = float((geodesic(plane, airport_coord).mi))
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if "closest_airport_dict" not in locals():
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closest_airport_dict = airport
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closest_airport_dist = airport_dist
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elif airport_dist < closest_airport_dist:
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closest_airport_dict = airport
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closest_airport_dist = airport_dist
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closest_airport_dict['distance_mi'] = closest_airport_dist
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#Convert indent key to icao key as its labeled icao in other places not ident
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closest_airport_dict['icao'] = closest_airport_dict.pop('gps_code')
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#Get full region/state name from iso region name
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with open('./dependencies/regions.csv', 'r', encoding='utf-8') as regions_csv:
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regions_csv = csv.DictReader(filter(lambda row: row[0]!='#', regions_csv))
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for region in regions_csv:
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if region['code'] == closest_airport_dict['iso_region']:
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closest_airport_dict['region'] = region['name']
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return closest_airport_dict
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def get_airport_by_icao(icao):
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import csv
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with open('./dependencies/airports.csv', 'r', encoding='utf-8') as airport_csv:
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airport_csv_reader = csv.DictReader(filter(lambda row: row[0]!='#', airport_csv))
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for airport in airport_csv_reader:
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if airport['gps_code'] == icao:
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matching_airport = airport
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#Convert indent key to icao key as its labeled icao in other places not ident
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matching_airport['icao'] = matching_airport.pop('gps_code')
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break
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return matching_airport |