def test_check_poa_clearsky(mocker, times):
dt = pd.date_range(start=datetime(2019, 6, 15, 12, 0, 0),
freq='15T', periods=5)
poa_global = pd.Series(index=dt, data=[800, 1000, 1200, -200, np.nan])
poa_clearsky = pd.Series(index=dt, data=1000)
result = validator.check_poa_clearsky(poa_global, poa_clearsky)
expected = pd.Series(index=dt, data=[True, True, False, True, False])
assert_series_equal(result, expected)
result = validator.check_poa_clearsky(poa_global, poa_clearsky, kt_max=1.2)
expected = pd.Series(index=dt, data=[True, True, True, True, False])
assert_series_equal(result, expected)
def validate_poa_global(observation, values):
"""
Run validation checks on a POA observation.
Parameters
----------
observation : solarforecastarbiter.datamodel.Observation
Observation object that the data is associated with
values : pandas.Series
Series of observation values
Returns
-------
timestamp_flag, night_flag, poa_clearsky_flag : pandas.Series
Integer bitmask series from
:py:func:`.validator.check_timestamp_spacing`,
:py:func:`.validator.check_irradiance_day_night`,
:py:func:`.validator.check_poa_clearsky` respectively
"""
solar_position, dni_extra, timestamp_flag, night_flag = _solpos_dni_extra(
observation, values)
clearsky = pvmodel.calculate_clearsky(
observation.site.latitude, observation.site.longitude,
observation.site.elevation, solar_position['apparent_zenith'])
aoi_func = pvmodel.aoi_func_factory(observation.site.modeling_parameters)
poa_clearsky = pvmodel.calculate_poa_effective(
aoi_func=aoi_func, apparent_zenith=solar_position['apparent_zenith'],
azimuth=solar_position['azimuth'], ghi=clearsky['ghi'],
dni=clearsky['dni'], dhi=clearsky['dhi'])
poa_clearsky_flag = validator.check_poa_clearsky(values, poa_clearsky,
_return_mask=True)
return timestamp_flag, night_flag, poa_clearsky_flag