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# -*- coding: utf-8 -*-
# Copyright(C) 2015 Matthieu Weber
#
# This file is part of weboob.
#
# weboob is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# weboob is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with weboob. If not, see <http://www.gnu.org/licenses/>.
from datetime import date
from itertools import imap, ifilter
from weboob.browser.pages import JsonPage, HTMLPage
from weboob.browser.elements import ItemElement, ListElement, method
from weboob.capabilities.weather import Forecast, Current, City, Temperature
from weboob.browser.filters.json import Dict
from weboob.browser.filters.standard import Filter, CleanText
class Id(Filter):
def filter(self, txt):
return txt.split(", ")[0]
class SearchCitiesPage(JsonPage):
@method
class iter_cities(ListElement):
def find_elements(self):
for el in self.el:
yield el
class item(ItemElement):
klass = City
obj_id = Id(Dict('id'))
obj_name = Dict('value')
class WeatherPage(HTMLPage):
@method
class iter_forecast(ListElement):
item_xpath = ('//div[contains(@class, "mid") and contains(@class, "local-weather-forecast")]//'
'tr[@class="meteogram-dates"]/td')
class item(ItemElement):
klass = Forecast
obj_id = CleanText('.//span/@title')
def obj_date(self):
months = [u'tammikuuta', u'helmikuuta', u'maaliskuuta', u'huhtikuuta', u'toukokuuta', u'kesäkuuta',
u'heinäkuuta', u'elokuuta', u'syyskuuta', u'lokakuuta', u'marraskuuta', u'joulukuuta']
d = CleanText('.//span/@title')(self).split()
return date(int(d[2]), months.index(d[1])+1, int(d[0].strip(".")))
def temperatures(self):
offset = int(CleanText('string(sum(./preceding-sibling::td/@colspan))')(self))
length = int(CleanText('@colspan')(self))
temps = CleanText('../../../tbody/tr[@class="meteogram-temperatures"]/td[position() > %d '
'and position() <= %d]/div' % (offset, offset+length))(self)
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return [float(_.strip(u'\xb0')) for _ in temps.split()]
def obj_low(self):
return Temperature(min(self.temperatures()), u'C')
def obj_high(self):
return Temperature(max(self.temperatures()), u'C')
def obj_text(self):
offset = int(CleanText('string(sum(./preceding-sibling::td/@colspan))')(self))
length = int(CleanText('@colspan')(self))
hour_test = ('../../tr[@class="meteogram-times"]/td[position() > %d and position() <= %d '
'and .//text() = "%%s"]' % (offset, offset+length))
hour_offset = 'string(count(%s/preceding-sibling::td)+1)' % (hour_test)
values = [
'../../../tbody/tr[@class="meteogram-weather-symbols"]/td[position() = %d]/div/@title',
'../../../tbody/tr[@class="meteogram-apparent-temperatures"]/td[position() = %d]/div/@title',
'../../../tbody/tr[@class="meteogram-wind-symbols"]/td[position() = %d]/div/@title',
'../../../tbody/tr[@class="meteogram-probabilities-of-precipitation"]/td[position() = %d]' +
'/div/@title',
'../../../tbody/tr[@class="meteogram-hourly-precipitation-values"]/td[position() = %d]/span/@title',
]
def descriptive_text_for_hour(hour):
hour_exists = CleanText(hour_test % hour)(self) == hour
if hour_exists:
offset = int(CleanText(hour_offset % hour)(self))
def info_for_value(value):
return CleanText(value % offset)(self).replace(u'edeltävän tunnin ', u'')
return ("klo %s: " % hour) + ", ".join(ifilter(bool, imap(info_for_value, values)))
return u'\n' + u'\n'.join(ifilter(bool, imap(descriptive_text_for_hour, ["02", "03", "14", "15"])))
def get_station_id(self):
return CleanText(u'//select[@id="observation-station-menu"]/option[@selected="selected"]/@value')(self.doc)
class ObservationsPage(JsonPage):
WINDS = ['N', 'NNE', 'NE', 'ENE', 'E', 'ESE', 'SE', 'SSE',
'S', 'SSW', 'SW', 'WSW', 'W', 'WNW', 'NW', 'NNW']
def get_current(self):
obj = Current()
obj.id = date.today()
obj.date = date.fromtimestamp(self.doc['latestObservationTime']/1000)
obj.temp = Temperature(max(self.doc['t2m'])[1], u'C')
last_hour_precipitations = int(max(self.doc['Precipitation1h'])[1])
nebulosity = int(max(self.doc['TotalCloudCover'])[1])
wind_speed = int(max(self.doc['WindSpeedMS'])[1])
wind_direction = self.WINDS[int(max(self.doc['WindDirection'])[1] / 22.5)]
obj.text = u'1h precipitations %d mm, wind %d m/s (%s), nebulosity %d/8' % (
last_hour_precipitations, wind_speed, wind_direction, nebulosity)
return obj