def main()

in torchbiggraph/converters/import_from_tsv.py [0:0]

• 59 lines of code
• 1 McCabe index (conditional complexity)

def main():
    config_help = "\n\nConfig parameters:\n\n" + "\n".join(ConfigSchema.help())
    parser = argparse.ArgumentParser(
        epilog=config_help,
        # Needed to preserve line wraps in epilog.
        formatter_class=argparse.RawDescriptionHelpFormatter,
    )
    parser.add_argument("config", help="Path to config file")
    parser.add_argument("-p", "--param", action="append", nargs="*")
    parser.add_argument("edge_paths", type=Path, nargs="*", help="Input file paths")
    parser.add_argument(
        "-l",
        "--lhs-col",
        type=int,
        required=True,
        help="Column index for source entity",
    )
    parser.add_argument(
        "-r",
        "--rhs-col",
        type=int,
        required=True,
        help="Column index for target entity",
    )
    parser.add_argument("--rel-col", type=int, help="Column index for relation entity")
    parser.add_argument(
        "--weight-col", type=int, help="(Optional) Column index for edge weight"
    )
    parser.add_argument(
        "--relation-type-min-count",
        type=int,
        default=1,
        help="Min count for relation types",
    )
    parser.add_argument(
        "--entity-min-count", type=int, default=1, help="Min count for entities"
    )
    opt = parser.parse_args()

    loader = ConfigFileLoader()
    config_dict = loader.load_raw_config(opt.config, opt.param)

    (
        entity_configs,
        relation_configs,
        entity_path,
        edge_paths,
        dynamic_relations,
    ) = parse_config_partial(  # noqa
        config_dict
    )

    convert_input_data(
        entity_configs,
        relation_configs,
        entity_path,
        edge_paths,
        opt.edge_paths,
        TSVEdgelistReader(opt.lhs_col, opt.rhs_col, opt.rel_col, opt.weight_col),
        opt.entity_min_count,
        opt.relation_type_min_count,
        dynamic_relations,
    )