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