bom images and xml parser

bom_xml.py

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+#!/usr/bin/env python3
+
+import xmltodict
+import urllib
+import datetime
+import json
+import collections
+
+# BOM Weather XML URL for my area:
+#
+# see http://www.bom.gov.au/catalogue/data-feeds.shtml
+# Adjust aac for your forecast region and the URL as required.
+
+aac = "NSW_PT254";
+bom_url = "ftp://ftp.bom.gov.au/anon/gen/fwo/IDN11060.xml";
+
+bom_icons = {
+    '1': 'SUNNY.JPG',
+    '2': 'CLEAR.JPG',
+    '3': 'PCLOUD.JPG',
+    '4': 'CLOUDY.JPG',
+    '6': 'HAZE.JPG',
+    '8': 'LRAIN.JPG',
+    '9': 'WIND.JPG',
+    '10': 'FOG.JPG',
+    '11': 'SHOWER.JPG',
+    '12': 'RAIN.JPG',
+    '13': 'DUST.JPG',
+    '14': 'FROST.JPG',
+    '15': 'SNOW.JPG',
+    '16': 'STORM.JPG',
+    '17': 'LSHOWE.JPG',
+    '18': 'HSHOWE.JPG',
+    '19': 'CYCLON.JPG'
+}
+
+
+content = urllib.request.urlopen(bom_url)
+xmldict = xmltodict.parse(content.read())
+belco = [a for a in xmldict['product']['forecast']['area'] if a['@aac'] == aac][0]
+
+new = {}
+
+#current = a['forecast-period'][0]
+weather = {}
+
+# THe first forecast perios doesn't always have the temperature and other bits
+# I chose to just switch to tomorrow
+
+if (type(belco['forecast-period'][0]) == type(collections.OrderedDict())):
+    start = 1
+else:
+    start = 0
+
+weather['today'] = belco['forecast-period'][start]
+weather['tomorrow'] = belco['forecast-period'][start+1]
+weather['day_after'] = belco['forecast-period'][start+2]
+
+for day in weather.keys():
+    new[day] = {}
+    new[day]['day'] = datetime.datetime.strptime(weather[day]['@start-time-local'], "%Y-%m-%dT%H:%M:%S%z").strftime("%A")
+    
+    for el in weather[day]['element']:
+        if type(el) == type(collections.OrderedDict()):
+           if el['@type'] == "forecast_icon_code":
+               new[day]['icon'] = bom_icons[el['#text']]
+           elif el['@type'] == 'air_temperature_maximum':
+               new[day]['max'] = el['#text']
+
+
+with open('bom.json', 'w') as output:
+    output.write(json.dumps(new))
+    output.close()