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40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
import pandas as pd
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from path import Path
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from translater import config, run_eplus, parallel_process
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config(cache_folder="../../tests/.temp/cache", use_cache=True, log_console=True)
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def main():
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# setup directories and input files
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necb_basedir = Path("../../tests/input_data/trnsys")
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files = necb_basedir.glob("Ref*.idf")
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epw = Path("../../tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw")
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idfs = pd.DataFrame({"file": files, "name": [file.basename() for file in files]})
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# setup the runner. We'll use the DataFrame index as keys (k).
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rundict = {
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k: dict(
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eplus_file=str(file),
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prep_outputs=True,
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weather_file=str(epw),
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expandobjects=True,
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verbose="v",
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design_day=True,
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output_report="sql_file",
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)
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for k, file in idfs.file.to_dict().items()
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}
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sql_files = parallel_process(rundict, run_eplus, use_kwargs=True, processors=-1)
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return sql_files
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if __name__ == "__main__":
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config(use_cache=True, log_console=True)
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sql_files = main()
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print(sql_files)
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