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import requests
import time
from geopy.distance import geodesic
last_coords = None
speed = None
time_btwn_change = 1
check_freq = 10
#https://server.ad.logic-prod.viasat.io/afr.php?zoneid=95&parameters=%7B%22origin%22:%22KMCO%22,%22destination%22:%22KDFW%22%7D&fid=N132AN-KMCO-KDFW-2022-03-05T01:56:12Z&fleetType=&isUSDomestic=true&guid=6f3003e9-9c27-11ec-927e-06df78a0305b&subtag=&source=https:%2F%2Fwww.aainflight.com%2F&origin=https:%2F%2Fwww.aainflight.com&li=0
#https://www.aainflight.com/iptv/channelList
#https://www.aainflight.com/iptv/programGuide/grid?channelId=12%2C13%2C14%2C15%2C16%2C17%2C19%2C24%2C26%2C27%2C34%2C35&startDateTime=20220305T0300Z&endDateTime=20220305T0700Z

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{
    "EA50": {
        "name": "Eclipse 550",
        "galph": 76,
        "category": "VLJ"
    },
    "LJ31": {
        "name": "Learjet 31",
        "galph": 202,
        "category": "Light"

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{"hex":"abc515","type":"adsb_icao","flight":"ENY3725 ","r":"N858AE","t":"E135","alt_baro":11150,"alt_geom":11550,"gs":268.0,"track":44.24,"baro_rate":-1024,"squawk":"5237","emergency":"none","category":"A2","lat":32.660910,"lon":-97.306469,"nic":8,"rc":186,"seen_pos":0.3,"version":2,"nic_baro":1,"nac_p":9,"nac_v":1,"sil":3,"sil_type":"perhour","gva":2,"sda":2,"alert":0,"spi":0,"mlat":[],"tisb":[],"messages":45207249,"seen":0.0,"rssi":-6.4,"acas_ra":{"utc":"2021-04-05 00:07:16.0","unix_timestamp":1617581236.02,"df_type":17,"bytes":"E2C00006A9DFE4","ARA":"1100000","RAT":"0","MTE":"0","RAC":"0000","advisory_complement":"","advisory":"Level Off","TTI":"01","threat_id_hex":"aa77f9"}}
{"hex":"abc515","type":"adsb_icao","flight":"ENY3725 ","r":"N858AE","t":"E135","alt_baro":11125,"alt_geom":11525,"gs":268.0,"track":44.24,"baro_rate":-1088,"squawk":"5237","emergency":"none","category":"A2","lat":32.662354,"lon":-97.304787,"nic":8,"rc":186,"seen_pos":0.3,"version":2,"nic_baro":1,"nac_p":9,"nac_v":1,"sil":3,"sil_type":

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def get_closest_airport(latitude, longitude):
	import csv
	from geopy.distance import geodesic
	plane = (latitude, longitude)
	header = ["id", "name", "city", "country", "iata", "icao",  "lat", "lng", "alt", "tz", "dst", "tz_db", "type", "source"]
	with open('airports.dat', encoding='utf-8') as airport_dat:
		airport_dat_reader = csv.DictReader(filter(lambda row: row[0]!='#', airport_dat), header)
		for airport in airport_dat_reader:
			airport_coord = float(airport['lat']), float(airport['lng'])
			airport_dist = float((geodesic(plane, airport_coord).mi))

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{
  "ac": [
    {
      "postime": "1615518192631",
      "icao": "AA733B",
      "reg": "N7723E",
      "type": "B737",
      "wtc": "2",
      "spd": "426.8",
      "altt": "0",

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{
  "ac": [
    {
      "hex": "a2fcf2",
      "type": "adsb_icao",
      "flight": "ASA541  ",
      "r": "N292AK",
      "t": "B739",
      "alt_baro": 5400,
      "alt_geom": 5650,

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#GET KEY AND HOST FROM https://rapidapi.com/sujayvsarma/api/ourairport-data-search?endpoint=apiendpoint_157e1886-2798-46cf-83e6-b71c2cb76273
def getAirport(latitude, longitude):
    print(latitude, longitude)
    import requests
    import json
    url = "https://ourairport-data-search.p.rapidapi.com/nearest/" + str(latitude) + "," + str(longitude)

    querystring = {"maxResults":"1"}

    headers = {

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#Scraped this for airports.dat  from https://openflights.org/data.html use haversine formula to calculate distance from each airport, lowest is closest. 
#Or use https://rapidapi.com/sujayvsarma/api/ourairport-data-search?endpoint=apiendpoint_157e1886-2798-46cf-83e6-b71c2cb76273 from https://ourairports.com/data/
import googlemaps
import json
import configparser
config = configparser.ConfigParser()
config.read('config.ini')

def getAirport(rank_by, latitude, longitude):
    nrby_key = config.get('GOOGLE', 'NEARBYSEARCHKEY')

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#Basic Print string
print ('something')
#Setting Variable
age = 25
#Print variable and string
print (age, 'add')
#basic input
age = input('Enter your age: ')
#convert variable to int or float
age_int = int(age)

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@@||Goguadrdian.com