def get_forecast(latitude, longitude,
include_hourly=False, grib2_dir=None):
"""
Main method determines forecast based on latitude and longitude and returns
json-formatted result
Args:
latitude - forecast point latitude
longitude - forecast point longitude
include_hourly - flag to include hourly forecast, defaults to false
grib2_dir - grib2 data directory, if omitted,
the SOAP web service will be used
Returns: json-formatted string - see README
"""
info("Latitude: {0}".format(latitude))
info("Longitude: {0}".format(longitude))
if include_hourly:
info("Include hourly forecast")
if grib2_dir:
info("Using grib2 dir: {0}".format(grib2_dir))
# If grib2 directory is provided, use grib2 files
if grib2_dir:
grib2.verbose = verbose
xml = grib2.xml(grib2_dir, latitude, longitude)
info(xml)
# Otherwise, use SOAP web service
else:
xml = noaa_ws.xml(latitude, longitude)
info(xml)
# Initialize object for data
print(forecast.process_xml(xml, include_hourly)) # TODO fix json call
def get_forecast(latitude, longitude, include_hourly=False, grib2_dir=None):
"""
Main method determines forecast based on latitude and longitude and returns
json-formatted result
Args:
latitude - forecast point latitude
longitude - forecast point longitude
include_hourly - flag to include hourly forecast, defaults to false
grib2_dir - grib2 data directory, if omitted,
the SOAP web service will be used
Returns: json-formatted string - see README
"""
info("Latitude: {0}".format(latitude))
info("Longitude: {0}".format(longitude))
if include_hourly:
info("Include hourly forecast")
if grib2_dir:
info("Using grib2 dir: {0}".format(grib2_dir))
# If grib2 directory is provided, use grib2 files
if grib2_dir:
grib2.verbose = verbose
xml = grib2.xml(grib2_dir, latitude, longitude)
info(xml)
# Otherwise, use SOAP web service
else:
xml = noaa_ws.xml(latitude, longitude)
info(xml)
# Initialize object for data
print(forecast.process_xml(xml, include_hourly)) # TODO fix json call
def test_nws(self):
nws_data = self._nws_data()
print(nws_data)
xml = noaa_ws.xml(latitude, longitude)
pysky_data = forecast.process_xml(xml, False)
print(pysky_data)
for d in pysky_data['daily']:
date = d['date']
if date in nws_data.keys():
self.assertEquals(nws_data[date]['high'], d['high'])
self.assertEquals(nws_data[date]['low'], d['low'])
