Find nearest meteor fall to Whitehouse

meteors.py

import requests
import os
import math

key=os.environ['GOOGLE_API_KEY']
address='1600 Pennsylvania Ave NW, Washington, DC 20500'
endpoint='https://maps.googleapis.com/maps/api/geocode/json?'

response = requests.get(endpoint + 'address=' + address + '&key=' + key)
location=response.json()['results'][0]['geometry']['location']

response = requests.get('https://data.nasa.gov/resource/y77d-th95.json')
meteors = response.json()

# type(meteors)    # list
# type(meteors[0]) # dictionary

def haversine(lat1, lon1, lat2, lon2):
    lat1 = math.radians(lat1)
    lon1 = math.radians(lon1)
    lat2 = math.radians(lat2)
    lon2 = math.radians(lon2)

    h = math.sin( (lat2 - lat1) / 2 ) ** 2 + \
      math.cos(lat1) * \
      math.cos(lat2) * \
      math.sin( (lon2 - lon1) / 2 ) ** 2

    return 6372.8 * 2 * math.asin(math.sqrt(h))

# lat1=location['lat']
# lon1=location['lng']

# lat2=float(meteors[0]['reclat'])
# lon2=float(meteors[0]['reclong'])

# distance=haversine(lat1, lon1, lat2, lon2)                                                                                             

for meteor in meteors:
    if not ('reclat' in meteor and 'reclong' in meteor): continue
    meteor['distance']=haversine( \
        location['lat'], \
        location['lng'], \
        float(meteor['reclat']), \
        float(meteor['reclong']))

def sort_key(e):
    return e.get('distance', math.inf) 

meteors.sort(key=sort_key)

meteors[0]