def write_results(bpr, building_name, date, loads_output, locator,
massflows_output, resolution_outputs, temperatures_output,
tsd, debug):
if resolution_outputs == 'hourly':
writer = demand_writers.HourlyDemandWriter(loads_output,
massflows_output,
temperatures_output)
elif resolution_outputs == 'monthly':
writer = demand_writers.MonthlyDemandWriter(loads_output,
massflows_output,
temperatures_output)
else:
raise Exception('error')
if debug:
print(
'Creating instant plotly visualizations of demand variable time series.'
)
print('Behavior can be changed in cea.utilities.reporting code.')
print('Writing detailed demand results of {} to .xls file.'.format(
building_name))
reporting.quick_visualization_tsd(tsd,
locator.get_demand_results_folder(),
building_name)
reporting.full_report_to_xls(tsd, locator.get_demand_results_folder(),
building_name)
else:
writer.results_to_csv(tsd, bpr, locator, date, building_name)
def write_results(bpr, building_name, date, format_output, loads_output,
locator, massflows_output, resolution_outputs,
temperatures_output, tsd):
if resolution_outputs == 'hourly':
writer = demand_writers.HourlyDemandWriter(loads_output,
massflows_output,
temperatures_output)
elif resolution_outputs == 'monthly':
writer = demand_writers.MonthlyDemandWriter(loads_output,
massflows_output,
temperatures_output)
else:
raise Exception('error')
if format_output == 'csv':
writer.results_to_csv(tsd, bpr, locator, date, building_name)
elif format_output == 'hdf5':
writer.results_to_hdf5(tsd, bpr, locator, date, building_name)
else:
raise Exception('error')