config.bigmacc.key = key
print(config.bigmacc.key)
try:
t1 = time.perf_counter()
cea.bigmacc.bigmacc_operations.run_bigmacc(config)
time_end = time.perf_counter() - t1
print('Completed iteration in: %d.2 seconds' % time_end)
except:
print(f'THERE WAS AN ERROR IN {key}.')
error_path = os.path.join(bigmacc_outputs_path, 'error_logger.csv')
if os.path.exists(error_path):
pass
else:
initialdf = pd.DataFrame(columns=['Experiment'])
initialdf.to_csv(error_path)
error_df = pd.read_csv(error_path, index_col='Unnamed: 0')
error_df = error_df.append(
pd.DataFrame({'Experiments': 'exp_{}'.format(key)}))
error_df.to_csv(error_path)
error_df.to_csv(r"C:\Users\justi\Desktop\error_log_backup.csv")
duration = 1000 # milliseconds
freq = 440 # Hz
winsound.Beep(freq, duration)
print('Simulations completed. Move to next scenario.')
if __name__ == '__main__':
main(cea.config.Configuration())
zarr_path = os.path.join(
config.bigmacc.data, config.general.parent, 'bigmacc_out',
config.bigmacc.round,
f"hourly_{config.general.parent}_{config.bigmacc.key}")
hourly.to_zarr(zarr_path, mode='w', consolidated=True)
return print(f' - Saved hourly dataset zarr to {zarr_path}')
def main(config, time_scale='none'):
if time_scale == 'hourly':
print(f' - Creating hourly dataset for {config.bigmacc.key}.')
t1 = time.perf_counter()
netcdf_hourly(config)
time_end = time.perf_counter() - t1
print(time_end)
print(f' - Hourly dataset for {config.bigmacc.key} saved to netcdf.')
elif time_scale == 'whole':
print(f' - Creating whole dataset for {config.general.parent}.')
t1 = time.perf_counter()
save_whole_dataset(config)
time_end = time.perf_counter() - t1
print(time_end)
print(f' - Whole dataset for {config.general.parent} saved to netcdf.')
else:
print(' - No netcdf files saved')
return print(' ')
if __name__ == '__main__':
main(cea.config.Configuration(), time_scale='hourly')