def add_subparser(subparsers: argparse._SubParsersAction,
parents: List[argparse.ArgumentParser]):
import rasa.nlu.convert as convert
data_parser = subparsers.add_parser(
"data",
conflict_handler="resolve",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Utils for the Rasa training files",
)
data_parser.set_defaults(func=lambda _: data_parser.print_help(None))
data_subparsers = data_parser.add_subparsers()
convert_parser = data_subparsers.add_parser(
"convert",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Convert Rasa data between different formats",
)
convert_parser.set_defaults(func=lambda _: convert_parser.print_help(None))
convert_subparsers = convert_parser.add_subparsers()
convert_nlu_parser = convert_subparsers.add_parser(
"nlu",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Convert NLU training data between markdown and json",
)
convert_nlu_parser.set_defaults(func=convert.main)
arguments.set_convert_arguments(convert_nlu_parser)
split_parser = data_subparsers.add_parser(
"split",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Split Rasa data in training and test data",
)
split_parser.set_defaults(func=lambda _: split_parser.print_help(None))
split_subparsers = split_parser.add_subparsers()
nlu_split_parser = split_subparsers.add_parser(
"nlu",
parents=parents,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Perform a split of your NLU data according to the specified "
"percentages",
)
nlu_split_parser.set_defaults(func=split_nlu_data)
arguments.set_split_arguments(nlu_split_parser)
def _add_data_split_parsers(data_subparsers,
parents: List[argparse.ArgumentParser]) -> None:
split_parser = data_subparsers.add_parser(
"split",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Splits Rasa data into training and test data.",
)
split_parser.set_defaults(func=lambda _: split_parser.print_help(None))
split_subparsers = split_parser.add_subparsers()
nlu_split_parser = split_subparsers.add_parser(
"nlu",
parents=parents,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Performs a split of your NLU data into training and test data "
"according to the specified percentages.",
)
nlu_split_parser.set_defaults(func=split_nlu_data)
arguments.set_split_arguments(nlu_split_parser)
def add_subparser(subparsers: argparse._SubParsersAction,
parents: List[argparse.ArgumentParser]):
import rasa.nlu.convert as convert
data_parser = subparsers.add_parser(
"data",
conflict_handler="resolve",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Utils for the Rasa training files.",
)
data_parser.set_defaults(func=lambda _: data_parser.print_help(None))
data_subparsers = data_parser.add_subparsers()
convert_parser = data_subparsers.add_parser(
"convert",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Converts Rasa data between different formats.",
)
convert_parser.set_defaults(func=lambda _: convert_parser.print_help(None))
convert_subparsers = convert_parser.add_subparsers()
convert_nlu_parser = convert_subparsers.add_parser(
"nlu",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Converts NLU data between Markdown and json formats.",
)
convert_nlu_parser.set_defaults(func=convert.main)
arguments.set_convert_arguments(convert_nlu_parser)
split_parser = data_subparsers.add_parser(
"split",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Splits Rasa data into training and test data.",
)
split_parser.set_defaults(func=lambda _: split_parser.print_help(None))
split_subparsers = split_parser.add_subparsers()
nlu_split_parser = split_subparsers.add_parser(
"nlu",
parents=parents,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Performs a split of your NLU data into training and test data "
"according to the specified percentages.",
)
nlu_split_parser.set_defaults(func=split_nlu_data)
arguments.set_split_arguments(nlu_split_parser)
validate_parser = data_subparsers.add_parser(
"validate",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Validates domain and data files to check for possible mistakes.",
)
validate_parser.set_defaults(func=validate_files)
arguments.set_validator_arguments(validate_parser)
