import csv from scripts.geojson_creator import process_geojson from pathlib import Path import subprocess from hub.imports.geometry_factory import GeometryFactory from hub.helpers.dictionaries import Dictionaries from hub.imports.construction_factory import ConstructionFactory from hub.imports.usage_factory import UsageFactory from hub.imports.weather_factory import WeatherFactory from hub.imports.results_factory import ResultFactory from hub.exports.exports_factory import ExportsFactory import hub.helpers.constants as cte # Specify the GeoJSON file path geojson_file = process_geojson(x=-73.5681295982132, y=45.49218262677643, diff=0.0001) file_path = (Path(__file__).parent.parent / 'input_files' / f'{geojson_file}') # Specify the output path for the PDF file output_path = (Path(__file__).parent / 'out_files').resolve() # Create city object from GeoJSON file city = GeometryFactory('geojson', path=file_path, height_field='height', year_of_construction_field='year_of_construction', function_field='function', function_to_hub=Dictionaries().montreal_function_to_hub_function).city # Enrich city data ConstructionFactory('nrcan', city).enrich() UsageFactory('nrcan', city).enrich() # WeatherFactory('epw', city).enrich() ExportsFactory('sra', city, output_path).export() sra_path = (output_path / f'{city.name}_sra.xml').resolve() subprocess.run(['sra', str(sra_path)]) ResultFactory('sra', city, output_path).enrich() for building in city.buildings: beam = [x / 3600 for x in building.beam[cte.HOUR]] diffuse = [x / 3600 for x in building.diffuse[cte.HOUR]] roof = building.roofs[0].global_irradiance[cte.HOUR] data = list(zip(beam, diffuse, roof)) file_name = f'solar_radiation_{building.name}.csv' with open(output_path / file_name, 'w', newline='') as csvfile: output_file = csv.writer(csvfile) # Write header output_file.writerow(['beam_component', 'diffuse_component', 'roof_global_irradiance']) # Write data output_file.writerows(data) print('test')