def _add_data_convert_parsers(
data_subparsers, parents: List[argparse.ArgumentParser]
) -> None:
from rasa.nlu import convert
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 formats.",
)
convert_nlu_parser.set_defaults(func=_convert_nlu_data)
arguments.set_convert_arguments(convert_nlu_parser, data_type="Rasa NLU")
convert_core_parser = convert_subparsers.add_parser(
"core",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Converts Core data between formats.",
)
convert_core_parser.set_defaults(func=_convert_core_data)
arguments.set_convert_arguments(convert_core_parser, data_type="Rasa Core")
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_convert_parsers(data_subparsers,
parents: List[argparse.ArgumentParser]) -> None:
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 formats.",
)
convert_nlu_parser.set_defaults(func=_convert_nlu_data)
arguments.set_convert_arguments(convert_nlu_parser, data_type="Rasa NLU")
convert_nlg_parser = convert_subparsers.add_parser(
"nlg",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Converts NLG data between formats.",
)
convert_nlg_parser.set_defaults(func=_convert_nlg_data)
arguments.set_convert_arguments(convert_nlg_parser, data_type="Rasa NLG")
convert_core_parser = convert_subparsers.add_parser(
"core",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Converts Core data between formats.",
)
convert_core_parser.set_defaults(func=_convert_core_data)
arguments.set_convert_arguments(convert_core_parser, data_type="Rasa Core")
migrate_config_parser = convert_subparsers.add_parser(
"config",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Migrate model configuration between Rasa Open Source versions.",
)
migrate_config_parser.set_defaults(func=_migrate_model_config)
_add_migrate_config_arguments(migrate_config_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)
def _add_data_convert_parsers(data_subparsers,
parents: List[argparse.ArgumentParser]) -> None:
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 formats.",
)
convert_nlu_parser.set_defaults(func=_convert_nlu_data)
arguments.set_convert_arguments(convert_nlu_parser, data_type="Rasa NLU")
convert_nlg_parser = convert_subparsers.add_parser(
"nlg",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help=
("Converts NLG data between formats. If you're migrating from 1.x, "
"please run `rasa data convert responses` to adapt the training data "
"to the new response selector format."),
)
convert_nlg_parser.set_defaults(func=_convert_nlg_data)
arguments.set_convert_arguments(convert_nlg_parser, data_type="Rasa NLG")
convert_core_parser = convert_subparsers.add_parser(
"core",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Converts Core data between formats.",
)
convert_core_parser.set_defaults(func=_convert_core_data)
arguments.set_convert_arguments(convert_core_parser, data_type="Rasa Core")
migrate_config_parser = convert_subparsers.add_parser(
"config",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help="Migrate model configuration between Rasa Open Source versions.",
)
migrate_config_parser.set_defaults(func=_migrate_model_config)
default_arguments.add_config_param(migrate_config_parser)
default_arguments.add_domain_param(migrate_config_parser)
default_arguments.add_out_param(
migrate_config_parser,
default=os.path.join(DEFAULT_DATA_PATH, "rules.yml"),
help_text=
"Path to the file which should contain any rules which are created "
"as part of the migration. If the file doesn't exist, it will be created.",
)
convert_responses_parser = convert_subparsers.add_parser(
"responses",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
parents=parents,
help=
("Convert retrieval intent responses between Rasa Open Source versions. "
"Please also run `rasa data convert nlg` to convert training data files "
"to the right format."),
)
convert_responses_parser.set_defaults(func=_migrate_responses)
arguments.set_convert_arguments(convert_responses_parser,
data_type="Rasa stories")
default_arguments.add_domain_param(convert_responses_parser)
