def add_subparser(subparsers: argparse._SubParsersAction,
parents: List[argparse.ArgumentParser]):
train_parser = subparsers.add_parser(
"train",
help="Trains a Rasa model using your NLU data and stories.",
parents=parents,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
train_arguments.set_train_arguments(train_parser)
train_subparsers = train_parser.add_subparsers()
train_core_parser = train_subparsers.add_parser(
"core",
parents=parents,
conflict_handler="resolve",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Trains a Rasa Core model using your stories.",
)
train_core_parser.set_defaults(func=train_core)
train_nlu_parser = train_subparsers.add_parser(
"nlu",
parents=parents,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Trains a Rasa NLU model using your NLU data.",
)
train_nlu_parser.set_defaults(func=train_nlu)
train_parser.set_defaults(func=train)
train_arguments.set_train_core_arguments(train_core_parser)
train_arguments.set_train_nlu_arguments(train_nlu_parser)
def add_subparser(
subparsers: SubParsersAction, parents: List[argparse.ArgumentParser]
) -> None:
"""Add all training parsers.
Args:
subparsers: subparser we are going to attach to
parents: Parent parsers, needed to ensure tree structure in argparse
"""
train_parser = subparsers.add_parser(
"train",
help="Trains a Rasa model using your NLU data and stories.",
parents=parents,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
train_arguments.set_train_arguments(train_parser)
train_subparsers = train_parser.add_subparsers()
train_core_parser = train_subparsers.add_parser(
"core",
parents=parents,
conflict_handler="resolve",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Trains a Rasa Core model using your stories.",
)
train_core_parser.set_defaults(func=train_core)
train_nlu_parser = train_subparsers.add_parser(
"nlu",
parents=parents,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Trains a Rasa NLU model using your NLU data.",
)
train_nlu_parser.set_defaults(func=train_nlu)
train_parser.set_defaults(func=train)
train_arguments.set_train_core_arguments(train_core_parser)
train_arguments.set_train_nlu_arguments(train_nlu_parser)