import argparse from structure_assignment.pipeline import Runner classla_directory = '../resources/classla' wani_file_name = '../resources/wani.py' # TODO: remove once luscenje_struktur incorporates wani in package if (__name__ == '__main__'): arg_parser = argparse.ArgumentParser(description='Run part or all of structure pipeline.') arg_parser.add_argument('-mode', type=str, help='Mode') arg_parser.add_argument('-infile', type=str, help='Input file') arg_parser.add_argument('-outfile', type=str, help='Output file') arg_parser.add_argument('-instructs', type=str, help='Input structure file') arg_parser.add_argument('-outstructs', type=str, help='Output structure file') arguments = arg_parser.parse_args() mode = arguments.mode input_file_name = arguments.infile output_file_name = arguments.outfile input_structure_file_name = arguments.instructs output_structure_file_name = arguments.outstructs nlp_needed = mode in {'strings_to_parse', 'strings_to_dictionary', 'all'} runner = Runner(nlp_needed, classla_directory, wani_file_name) if (mode == 'strings_to_parse'): runner.strings_to_parse(input_file_name, output_file_name) elif (mode == 'strings_to_dictionary'): runner.strings_to_dictionary(input_file_name, output_file_name, input_structure_file_name, output_structure_file_name) elif (mode == 'parse_to_dictionary'): runner.parse_to_dictionary(input_file_name, output_file_name, input_structure_file_name, output_structure_file_name) elif (mode == 'validate_structures'): runner.validate_structures(input_file_name) elif (mode == 'validate_dictionary'): runner.validate_dictionary(input_file_name) elif (mode == 'all'): runner.run_all(input_file_name, output_file_name, input_structure_file_name, output_structure_file_name)