simplified version of reverse geocode parse

reversegeocoding.py

#!/bin/env python

# python port by Dan Stowell, of OSM reverse geocoding by Tom Morris

import json
import urllib2

def latlon_to_label(latitude, longitude):
	url = "http://nominatim.openstreetmap.org/reverse?format=json&lat=%f&lon=%f&zoom=18&addressdetails=1" % (latitude, longitude)
	data = urllib2.urlopen(url).read()
	result = json.loads(data)
	result_arr = []

	# london mode
	if u"state_district" in result[u"address"] and result[u"address"][u"state_district"] == u"Greater London":
		if u"place" in result[u"address"]:
			result_arr.append(result[u"address"][u"place"])
		else:
			if u"pedestrian" in result[u"address"]:
				result_arr.append(result[u"address"][u"pedestrian"])
			elif u"footway" in result[u"address"]:
				result_arr.append(result[u"address"][u"footway"])
			if u"suburb" in result[u"address"]:
				result_arr.append(result[u"address"][u"suburb"]) 
		# county should be 'London' :)
		if u"county" in result[u"address"]:
			result_arr.append(result[u"address"][u"county"])

		# strip end off postcodes
		if u"postcode" in result[u"address"]:
			postcode = result[u"address"][u"postcode"]
			if len(postcode.split(u" ")) != 1:
				result_arr.append(postcode.split(u" ")[0])
			else:
				result_arr.append(postcode)
	# not london.
	else:
		if u"road" in result[u"address"]:
			result_arr.append(result[u"address"][u"road"])
		if u"suburb" in result[u"address"]:
			result_arr.append(result[u"address"][u"suburb"])
		if u"town" in result[u"address"]:
			result_arr.append(result[u"address"][u"town"])
		else:
			if u"city" in result[u"address"]:
				result_arr.append(result[u"address"][u"city"])

	return u", ".join(result_arr)

if __name__ == '__main__':
	print "These examples should match:"
	tocheck = [(u"St Pancras, London, NW1", 51.5294418333333,-0.126272633333333),
		(u"St Pancras, London, NW1", 51.5295385,-0.1264996),
		(u"Bishops Square, London, E1", 51.5192044,-0.077819),
		(u"Westminster, London, WC2N", 51.509092275,-0.123459925),
		(u"Gloucester Road, Round Hill, Brighton", 50.8267737,-0.1367264),
		(u"Trinity Street, Bohemia, Hastings", 50.8550399,0.5767676),
	]
	for (string, lat, lon) in tocheck:
		result = latlon_to_label(lat, lon)
		if string == result:
			print "OK: %s" % string
		else:
			raise ValueError("%s != %s" % (string, result))