from pathlib import Path

name_gml = '2050 bp_20buildings'
name_cli = 'inseldb_New_York_City.cli'
name_weather = 'inseldb_New_York_City.dat'
example_path = (Path(__file__).parent / 'examples/NYC_20buildings').resolve()
full_path_gml = (example_path / 'inputs'  / (name_gml + '.gml')).resolve()
full_path_cli = (example_path / 'inputs' / name_cli).resolve()
full_path_weather = (example_path / 'inputs' / name_weather).resolve()
outputs_path = (example_path / 'outputs').resolve()
keep_files = True
#this is another test

# Initialize the city model and add thermal- and usage-related parameters
# todo: add several steps:
#  - simplification of the data model (for all work-flows)
#  - internal zoning of buildings (for dynamic simulation only)
#city = Init(full_path_gml).city

# Climate-related parameters
# todo: define full_path_cli and any other weather related parameter according to the city_name in city
#hourly_temperatures = Wt(full_path_weather).weather_temperatures
sra_working_path = (example_path / 'third_parties_files/simplified_radiosity_algorithm').resolve()
sra_file_name = name_gml + '_SRA'
#sra = Sra(sra_working_path, sra_file_name, full_path_cli, city.city_objects, lower_corner=city.lower_corner)
# todo: change this with if sra_file_exists. Using it now only internally.
sra_calculated = True
#if sra_calculated:
#  sra.results()
#else:
#  sra.call_sra(keep_files=keep_files)
#sra.set_irradiance_surfaces(city)

# Demand calculation (one model per building)
#for city_object in city.city_objects:
#  content = templates.generate_dem(city_object, usageParameters, temperatures)
#  inselFile = InsF(path, name_insel, content)
#  inselFile.save()
  # Run INSEL
#  runInsel(inselFile.full_path)