def validate_dni(observation, values):
"""
Run validation checks on a DNI 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, dni_limit_flag : pandas.Series
Integer bitmask series from
:py:func:`.validator.check_timestamp_spacing`,
:py:func:`.validator.check_irradiance_day_night`,
:py:func:`.validator.check_dni_limits_QCRad` respectively
"""
solar_position, dni_extra, timestamp_flag, night_flag = _solpos_dni_extra(
observation, values)
dni_limit_flag = validator.check_dni_limits_QCRad(values,
solar_position['zenith'],
dni_extra,
_return_mask=True)
return timestamp_flag, night_flag, dni_limit_flag
def test_check_dni_limits_QCRad(irradiance_QCRad):
expected = irradiance_QCRad
dni_out_expected = expected['dni_limit_flag']
dni_out = validator.check_dni_limits_QCRad(expected['dni'],
expected['solar_zenith'],
expected['dni_extra'])
assert_series_equal(dni_out, dni_out_expected)
def validate_dni(observation, values):
"""
Run validation checks on a DNI observation.
Parameters
----------
observation : solarforecastarbiter.datamodel.Observation
Observation object that the data is associated with
values : pandas.Series
Series of observation values
Returns
-------
tuple
Tuple of integer bitmask series of flags from the following tests, in
order,
`validator.check_timestamp_spacing`,
`validator.check_irradiance_day_night`,
`validator.check_dni_limits_QCRad`
"""
solar_position, dni_extra, timestamp_flag, night_flag = _solpos_dni_extra(
observation, values)
dni_limit_flag = validator.check_dni_limits_QCRad(values,
solar_position['zenith'],
dni_extra,
_return_mask=True)
return timestamp_flag, night_flag, dni_limit_flag