66 lines
2.3 KiB
Python
66 lines
2.3 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright(C) 2010 Romain Bignon
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, version 3 of the License.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
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import urllib2
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from xml.dom import minidom
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# TODO store datetime objects instead of strings
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# from datetime import datetime
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from weboob.capabilities.weather import ICapWeather, CityNotFound, Current, Forecast
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from weboob.tools.backend import BaseBackend
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__all__ = ['YahooBackend']
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class YahooBackend(BaseBackend, ICapWeather):
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NAME = 'yahoo'
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MAINTAINER = 'Romain Bignon'
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EMAIL = 'romain@weboob.org'
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VERSION = '0.4'
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DESCRIPTION = 'Yahoo'
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LICENSE = 'GPLv3'
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WEATHER_URL = 'http://weather.yahooapis.com/forecastrss?w=%s&u=%s'
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def iter_city_search(self, pattern):
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raise NotImplementedError()
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def _get_weather_dom(self, city_id):
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handler = urllib2.urlopen(self.WEATHER_URL % (city_id, 'c'))
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dom = minidom.parse(handler)
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handler.close()
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if not dom.getElementsByTagName('yweather:condition'):
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raise CityNotFound('City not found: %s' % city_id)
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return dom
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def get_current(self, city_id):
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dom = self._get_weather_dom(city_id)
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current = dom.getElementsByTagName('yweather:condition')[0]
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return Current(current.getAttribute('date'), int(current.getAttribute('temp')), current.getAttribute('text'), 'C')
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def iter_forecast(self, city_id):
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dom = self._get_weather_dom(city_id)
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for forecast in dom.getElementsByTagName('yweather:forecast'):
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yield Forecast(forecast.getAttribute('date'),
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int(forecast.getAttribute('low')),
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int(forecast.getAttribute('high')),
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forecast.getAttribute('text'),
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'C',
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)
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