def test_pvengine_ts_inputs_perez(params_serial, df_inputs_serial_calculation,
fn_report_example):
"""Test that PV engine works for timeseries inputs"""
# Break up inputs
(timestamps, surface_tilt, surface_azimuth, solar_zenith, solar_azimuth,
dni, dhi) = breakup_df_inputs(df_inputs_serial_calculation)
albedo = params_serial['rho_ground']
# Create engine
irradiance_model = HybridPerezOrdered()
eng = PVEngine(params_serial, irradiance_model=irradiance_model)
# Fit engine
eng.fit(timestamps, dni, dhi, solar_zenith, solar_azimuth, surface_tilt,
surface_azimuth, albedo)
# Run all timesteps
report = eng.run_all_timesteps(fn_build_report=fn_report_example)
# Check values
np.testing.assert_array_almost_equal(report['qinc_front'],
[1066.272392, 1065.979824])
np.testing.assert_array_almost_equal(report['qinc_back'],
[135.897106, 136.01297])
np.testing.assert_array_almost_equal(report['iso_front'],
[42.816637, 42.780206])
np.testing.assert_array_almost_equal(report['iso_back'],
[1.727308, 1.726535])
def pv_engine_run(data, pvarray_parameters, parallel=0):
if parallel > 0:
report = run_parallel_engine(MyReportBuilder,
pvarray_parameters,
data.index,
data.dni,
data.dhi,
data.zenith,
data.azimuth,
data.surface_tilt,
data.surface_azimuth,
data.albedo,
n_processes=6)
else:
rb = MyReportBuilder()
engine = PVEngine(pvarray_parameters)
engine.fit(data.index, data.dni, data.dhi, data.zenith, data.azimuth,
data.surface_tilt, data.surface_azimuth, data.albedo)
report = engine.run_all_timesteps(rb.build)
df_report = pd.DataFrame(report, index=data.index).fillna(0)
return df_report
