def get_location_from_wikipedia(name):
data = climate.get_coordinates(name)
location = ephem.Observer()
# pyephem is a little weird, only works right when these are strings
location.lat = str(data['lat'])
location.lon = str(data['lng'])
try:
# on the other hand, elevation must be specified as a float
location.elevation = float(data['elevation'])
except:
# ignore, might not have been specified,
# or might be in a format float or pyephem can't handle
# e.g. Whitehorse uses "670–1702"
pass
return location
def test_latlng_known_data(self):
""" Test getting latitude, longitudes, and elevations of some
test cities. Parses their Wikipedia page to get this information.
This is also tested implicitly by test_percent_sun
for Portland, Oregon, since we need Wikipedia latlng
to compute that particular data set."""
known_data = {
"Toronto": {"lat": 43.7, "lng": -79.4, "elevation": 76},
"Auckland": {"lat": -36.8406, "lng": 174.74, "elevation": 196},
"Akureyri": {"lat": 65.6833, "lng": -18.1},
"Alert, Nunavut": {"lat": 82.5014, "lng": -62.3389},
"Buenos Aires": {"lat": -34.6033, "lng": -58.3817, "elevation": 25},
}
for city, data in known_data.items():
actual_data = climate.get_coordinates(city)
for key, expected_value in data.items():
self.assertEqual(actual_data[key], expected_value)
