Gets latest polygons of fires from RFS site, converts to KML for mapping

rfs-fires-to-kml

#NOTE: please do not DDoS the RFS site with a bunch of automated queries 

import lxml.etree
import simplekml
import urllib2
import datetime
kml = simplekml.Kml()
date_string = datetime.datetime.now().strftime("%d-%m-%Y-%H-%M")

#open latest feed
fires = urllib2.urlopen('http://www.rfs.nsw.gov.au/feeds/majorIncidents.xml').read()

#parse xml and convert each polygon to own kml object
parser = lxml.etree.XMLParser(recover=True)
root = lxml.etree.XML(fires, parser)
items = root.findall('.//item')
for item in items:
	print item.find('title').text
	try:
		polygons = item.findall('{*}polygon')
		for i, polygon in enumerate(polygons):
			print i
			polygon = polygon.text.split(' ')
			evens = polygon[0:][::2]
			odds = polygon[1:][::2]
			coords = zip(odds, evens)
			print coords
			pol = kml.newpolygon(name=item.find('title').text)
			pol.outerboundaryis = coords

	except:
		print "No polygon"	
#save kml with timestamp		
kml.save("fires-poly" + date_string + ".kml")