2024-05-14 12:17:35 -04:00
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import csv
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2024-03-29 13:56:49 -04:00
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from scripts.geojson_creator import process_geojson
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from pathlib import Path
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import subprocess
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from hub.imports.geometry_factory import GeometryFactory
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from hub.helpers.dictionaries import Dictionaries
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from hub.imports.construction_factory import ConstructionFactory
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from hub.imports.usage_factory import UsageFactory
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from hub.imports.weather_factory import WeatherFactory
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from hub.imports.results_factory import ResultFactory
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2024-04-10 10:27:10 -04:00
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from hub.exports.exports_factory import ExportsFactory
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2024-05-14 12:17:35 -04:00
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import hub.helpers.constants as cte
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2024-03-29 13:56:49 -04:00
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# Specify the GeoJSON file path
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geojson_file = process_geojson(x=-73.5681295982132, y=45.49218262677643, diff=0.0001)
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file_path = (Path(__file__).parent.parent / 'input_files' / f'{geojson_file}')
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# Specify the output path for the PDF file
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output_path = (Path(__file__).parent / 'out_files').resolve()
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# Create city object from GeoJSON file
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city = GeometryFactory('geojson',
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path=file_path,
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height_field='height',
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year_of_construction_field='year_of_construction',
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function_field='function',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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# Enrich city data
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ConstructionFactory('nrcan', city).enrich()
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2024-04-10 10:27:10 -04:00
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2024-04-04 13:23:32 -04:00
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UsageFactory('nrcan', city).enrich()
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2024-05-14 12:17:35 -04:00
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# WeatherFactory('epw', city).enrich()
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2024-03-29 13:56:49 -04:00
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ExportsFactory('sra', city, output_path).export()
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sra_path = (output_path / f'{city.name}_sra.xml').resolve()
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subprocess.run(['sra', str(sra_path)])
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ResultFactory('sra', city, output_path).enrich()
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2024-04-10 10:27:10 -04:00
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for building in city.buildings:
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2024-05-14 12:17:35 -04:00
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beam = [x / 3600 for x in building.beam[cte.HOUR]]
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diffuse = [x / 3600 for x in building.diffuse[cte.HOUR]]
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roof = building.roofs[0].global_irradiance[cte.HOUR]
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data = list(zip(beam, diffuse, roof))
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file_name = f'solar_radiation_{building.name}.csv'
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with open(output_path / file_name, 'w', newline='') as csvfile:
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output_file = csv.writer(csvfile)
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# Write header
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output_file.writerow(['beam_component', 'diffuse_component', 'roof_global_irradiance'])
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# Write data
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output_file.writerows(data)
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print('test')
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2024-04-10 10:27:10 -04:00
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