def parse_details_html(url):
try:
soup = to_soup(url)
basic_data = as_dict(
table_into_json(soup.find_all('section', {'id': 'szczegoly-oferty'})[0].table))
extended_data_sections = soup.find_all('section', {'id': 'dodatkowe-oplaty'})
extended_data = {}
if extended_data_sections:
extended_data = as_dict(table_into_json(extended_data_sections[0].table))
return {
u"Link": url,
u"Region": retrieve_meta(soup, 'dimension-region'),
u"Ulica": retrieve_meta(soup, "streetAddress", "itemprop").lower().strip("ul.").strip(),
u"Cena mieszkania": as_int(retrieve_meta(soup, 'dimension-price')),
u"Cena za metr": as_int(retrieve_meta(soup, 'dimension-price-m2')),
u"Powierzchnia": as_float(retrieve_meta(soup, 'dimension-area')),
u"Pokoje": as_int(retrieve_meta(soup, 'dimension-rooms')),
u'Cena parkingu': parse_parking_places(basic_data['Miejsca postojowe:'][1]),
u'Piętro': as_int(retrieve_meta(soup, 'dimension-floor')),
u"Koszty dodatkowe": sum([as_int(value) for value in extended_data.values()]) or None,
u"Długosć geograficzna": as_float(retrieve_meta(soup, 'longitude', 'itemprop')),
u"Szerokość geograficzna": as_float(retrieve_meta(soup, 'latitude', 'itemprop')),
u"Termin": as_date(
one_of(basic_data, ['Realizacja inwestycji:', u'Realizacja nieruchomości:'])[
-16:-6])
}
except requests.exceptions.ConnectionError:
return url
except Exception, e:
raise Exception("Failed to fetch %s; %s" % (url, traceback.format_exc()), e)
def get_public_transport_time(gps_from, gps_to, time=datetime.datetime.now()):
weekday = (int(time.strftime("%w")) + 5) % 6
url = (
"http://www.m.rozkladzik.pl/krakow/wyszukiwarka_polaczen.html?"
"from={from_x};{from_y}|c|{from_x}|{from_y}&"
"to={to_x};{to_y}|c|{to_x}|{to_y}&profile=opt&maxWalkChange=400&minChangeTime=2&time={time}&day={day}".format(
from_x=gps_from[0],
from_y=gps_from[1],
to_x=gps_to[0],
to_y=gps_to[1],
time=time.strftime("%H:%M"),
day=weekday,
)
)
soup = to_soup(url)
times = []
for sum_row in soup.find_all("div", {"class": "route_sum_row"}):
time_td = sum_row.find_all("td", {"class": "time"})[0]
times.append(as_int(stringify_child(time_td)[1]))
return min(times)
