def __init__(self, hass, latitude, longitude, station_id,
weather_interval):
"""Initialize the data object."""
self._hass = hass
self.forecast = None
self.station_id = None
self.latest_update = None
# Public attributes
self.latitude = latitude
self.longitude = longitude
self.weather_interval = weather_interval
self.infos = {}
# Checks if station_id was set by the user
if station_id != "":
if dwdforecast.is_valid_station_id(station_id):
self.station_id = station_id
else:
raise ValueError("Not a valid station_id")
else:
self.station_id = dwdforecast.get_nearest_station_id(
latitude, longitude)
# Holds the current data from DWD
self.dwd_weather = dwdforecast.Weather(self.station_id)
def setUp(self):
self.dwd_weather = dwdforecast.Weather("H889")
self.dwd_weather.forecast_data = parsed_data
self.dwd_weather.station_name = "BAD HOMBURG"
def test_init_with_no_id(self):
with self.assertRaises(TypeError) as _:
dwdforecast.Weather()
def test_init_with_number(self):
with self.assertRaises(ValueError) as _:
dwdforecast.Weather(42)
def test_init_with_wrong_id(self):
with self.assertRaises(ValueError) as _:
dwdforecast.Weather("H89")
# Append data set, with actual hour as the API sataset starts with t+1h
if isinstance(dataPrevious, list):
energyData = energyData.append(energyData.loc[0], ignore_index=True)
energyData.loc[energyData.index[-1], 'startTime'] = energyData.loc[0, 'startTime'] - dt.timedelta(
hours=1)
energyData.loc[energyData.index[-1], 'endTime'] = energyData.loc[0, 'endTime'] - dt.timedelta(hours=1)
else:
energyData = energyData.append(
dataPrevious.loc[energyData['startTime'] == dt.datetime(now.year, now.month, now.day, now.hour)],
ignore_index=True)
energyData = energyData.sort_values(by='startTime').reset_index(drop=True)
# get weather data and calculate energy from wind and solar from dwd
div = np.divide(now.hour, 6) # new forecasts are issued every 6 hours
if div.is_integer() or initial:
dwd_weather = dwdforecast.Weather("10147") # Flughafen Hamburg
dwd_weather.update()
weatherData = pd.DataFrame(dwd_weather.forecast_data).T.reset_index()
weatherData = weatherData.rename(columns={'index': 'original_time'})
for hour in range(0, len(weatherData)):
weatherData.loc[hour, 'start_time'] = dt.datetime.strptime(weatherData.loc[hour, 'original_time'][:13],
'%Y-%m-%dT%H') + dt.timedelta(
hours=utcoffset)
weatherData.loc[hour, 'end_time'] = dt.datetime.strptime(weatherData.loc[hour, 'original_time'][:13],
'%Y-%m-%dT%H') + dt.timedelta(
hours=utcoffset + 1)
weatherData.loc[hour, 'sun_cov'] = weatherData.loc[hour, 'sun_dur'] / 60 * 100
weatherData.loc[hour, 'wind_speed'] = float(weatherData.loc[hour, 'wind_speed'])
weatherData.loc[hour, 'wind_speed_Kmh'] = weatherData.loc[hour, 'wind_speed'] * 3.6
weatherData.loc[hour, 'cloud_cov'] = float(weatherData.loc[hour, 'cloud_cov'])
def setUp(self):
self.dwd_weather = dwdforecast.Weather("H889")
from simple_dwd_weatherforecast import dwdforecast
in_file = open("TEST_N4333.kml", "rb")
data = in_file.read()
in_file.close()
dwd_weather = dwdforecast.Weather("N4333")
dwd_weather.parse_kml(data)
f = open('test_data.py', 'w')
f.write('parsed_data = ' + repr(dwd_weather.forecast_data))
f.close()
def setUp(self):
self.dwd_weather = dwdforecast.Weather("N4333")
