49 lines
1.9 KiB
Python
49 lines
1.9 KiB
Python
#https://www.geeksforgeeks.org/python-calculate-distance-between-two-places-using-geopy/
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#https://openflights.org/data.html
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def download_airports():
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import os
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if not os.path.isfile('airports.dat'):
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print("No airports.dat file, downloading now")
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try:
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import requests
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url = 'https://raw.githubusercontent.com/jpatokal/openflights/master/data/airports.dat'
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airports = requests.get(url)
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open('airports.dat', 'wb').write(airports.content)
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except:
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raise("Error getting airports.dat or storing")
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else:
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#Writes current date to airports.dat to show when it was aqquired
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import datetime
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date = datetime.datetime.now()
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with open('airports.dat', 'a') as airports:
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airports.write("#" + str(date))
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print("Successfully got airports.dat")
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elif os.path.isfile('airports.dat'):
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print("Already Have airports.dat, continuing")
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def getClosestAirport(latitude, longitude):
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import json
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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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header = ["id", "name", "city", "country", "iata", "icao", "lat", "lng", "alt", "tz", "dst", "tz_db", "type", "source"]
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airports = []
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first_run = True
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with open('airports.dat', encoding='utf-8') as csvf:
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reader = csv.DictReader(filter(lambda row: row[0]!='#', csvf), header)
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#for row in reader:
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# airports.append(row)
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for row in reader:
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airport = row
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airport_coord = float(airport['lat']), float(airport['lng'])
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airport_dist = float((geodesic(plane, airport_coord).mi))
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if first_run:
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closest_airport_dict = airport
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closest_airport_dist = airport_dist
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first_run = False
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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'] = closest_airport_dist
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print("Closest Airport:", closest_airport_dict['icao'], closest_airport_dict['name'], closest_airport_dist, "Miles Away")
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return closest_airport_dict |