def iter_forecast(self):
d = date.today()
self.titles = {}
for n, tr in enumerate(self.doc.xpath('//table[@id="meteoIntit"]/tr')):
self.titles[CleanText('.')(tr)] = n
day_str = None
for n in range(len(
self.doc.xpath('//table[@id="meteoHour"]/tr[1]/td'))):
obj = Forecast()
t = time(int(self.get_cell(self.titles['Heure'], n).rstrip('h')),
0)
new_day_str = self.get_cell(self.titles['Jour'], n)
if day_str is not None and day_str != new_day_str:
d += timedelta(1)
day_str = new_day_str
obj.date = datetime.combine(d, t)
obj.low = obj.high = temp(
int(
self.get_cell(self.titles['T° (ressentie)'],
n).split('°')[0]))
self.fill_base(obj, n)
yield obj
def iter_forecast(self):
d = date.today()
self.titles = {}
for n, tr in enumerate(self.doc.xpath('//table[@id="meteo2"]/tr[2]/td[1]/table/tr')):
self.titles[CleanText('.')(tr)] = n
for n in range(1, len(self.doc.xpath('//table[@id="meteo2"]/tr[1]/td'))):
obj = Forecast()
obj.low = temp(int(self.get_cell(self.titles['Température Mini'], n).rstrip('°')))
obj.high = temp(int(self.get_cell(self.titles['Température Maxi'], n).rstrip('°')))
obj.date = d
self.fill_base(obj, n)
d += timedelta(1)
yield obj
def iter_forecast(self):
forecast = self.doc['vt1dailyForecast']
for i in range(1, len(forecast['dayOfWeek'])):
date = parse_date(forecast['validDate'][1])
tlow = float(forecast['day']['temperature'][i])
thigh = tlow
text = forecast['day']['narrative'][i]
yield Forecast(date, tlow, thigh, text, 'C')
def iter_forecast(self, city_id):
dom = self._get_weather_dom(city_id)
for forecast in dom.getElementsByTagName('yweather:forecast'):
yield Forecast(parse_dt(forecast.getAttribute('date')).date(),
float(forecast.getAttribute('low')),
float(forecast.getAttribute('high')),
unicode(forecast.getAttribute('text')),
u'C',
)
def iter_forecast(self):
d = date.today()
self.titles = {}
for n, tr in enumerate(self.doc.xpath('//table[@id="meteoIntit"]/tr')):
self.titles[CleanText('.')(tr)] = n
day_str = None
for n in range(len(self.doc.xpath('//table[@id="meteoHour"]/tr[1]/td'))):
obj = Forecast()
t = time(int(self.get_cell(self.titles['Heure'], n).rstrip('h')), 0)
new_day_str = self.get_cell(self.titles['Jour'], n)
if day_str is not None and day_str != new_day_str:
d += timedelta(1)
day_str = new_day_str
obj.date = datetime.combine(d, t)
obj.low = obj.high = temp(int(self.get_cell(self.titles['T° (ressentie)'], n).split('°')[0]))
self.fill_base(obj, n)
yield obj
def iter_forecast(self):
for div in self.document.getiterator('li'):
if div.attrib.get('class', '').startswith('jour'):
mdate = div.xpath('./dl/dt')[0].text
t_low = self.get_temp_without_unit(
div.xpath('.//dd[@class="minmax"]/strong')[0].text)
t_high = self.get_temp_without_unit(
div.xpath('.//dd[@class="minmax"]/strong')[1].text)
mtxt = div.xpath('.//dd')[0].text
yield Forecast(mdate, t_low, t_high, mtxt, 'C')
elif div.attrib.get('class', '').startswith('lijourle'):
for em in div.getiterator('em'):
templist = em.text_content().split("/")
t_low = self.get_temp_without_unit(templist[0])
t_high = self.get_temp_without_unit(templist[1])
break
for strong in div.getiterator("strong"):
mdate = strong.text_content()
break
for img in div.getiterator("img"):
mtxt = img.attrib["title"]
break
yield Forecast(mdate, t_low, t_high, mtxt, "C")
def iter_forecast(self):
d = date.today() + timedelta(5)
self.titles = {}
for n, tr in enumerate(
self.doc.xpath('(//table[@id="meteo2"]//td/table)[1]/tr/td')):
self.titles[CleanText('.')(tr)] = n
cols = len(self.doc.xpath('//table[@id="meteo2"]//td/table'))
for n in range(1, cols):
obj = Forecast()
obj.low = temp(
int(
self.get_cell(self.titles['Température Mini'],
n).rstrip('°C')))
obj.high = temp(
int(
self.get_cell(self.titles['Température Maxi'],
n).rstrip('°C')))
obj.date = d
self.fill_base(obj, n)
d += timedelta(1)
yield obj
def iter_forecast(self):
divs = self.document.findall('//div[@class="wx-daypart"]')
for day in range (0, len(divs)):
div = divs[day].find('div[@class="wx-conditions"]')
text = unicode(div.find('p[@class="wx-phrase"]').text_content().strip())
try:
thigh = float(div.find('p[@class="wx-temp"]').text_content().strip().split(u'°')[0])
except:
thigh = None
try:
tlow = float(div.find('p[@class="wx-temp-alt"]').text_content().strip().split(u'°')[0])
except:
tlow = None
date = divs[day].find('h3/span').text_content().strip()
#date = self.document.findall('//table[@class="twc-forecast-table twc-first"]//th')[day].text
#if len (date.split(' ')) > 3:
# date = " ".join(date.split(' ', 3)[:3])
yield Forecast(date, tlow, thigh, text, u'F')