def set_train_nlu_arguments(parser: argparse.ArgumentParser):
add_config_param(parser)
add_out_param(parser, help_text="Directory where your models should be stored.")
add_nlu_data_param(parser, help_text="File or folder containing your NLU data.")
add_model_name_param(parser)
def set_visualize_stories_arguments(parser: argparse.ArgumentParser):
add_domain_param(parser)
add_stories_param(parser)
add_config_param(parser)
parser.add_argument(
"--output",
default="graph.html",
type=str,
help="Filename of the output path, e.g. 'graph.html'.",
)
parser.add_argument(
"--max-history",
default=2,
type=int,
help="Max history to consider when merging paths in the output graph.",
)
parser.add_argument(
"-nlu",
"--nlu-data",
default=None,
type=str,
help="Path of the Rasa NLU training data, "
"used to insert example messages into the graph.",
)
def set_train_nlu_arguments(parser: argparse.ArgumentParser):
add_config_param(parser)
add_out_param(parser)
add_nlu_data_param(parser)
add_model_name_param(parser)
add_compress_param(parser)
def _append_story_structure_arguments(parser: argparse.ArgumentParser) -> None:
parser.add_argument(
"--max-history",
type=int,
default=None,
help="Number of turns taken into account for story structure validation.",
)
default_arguments.add_config_param(parser)
def add_general_arguments(parser: argparse.ArgumentParser):
add_config_param(parser)
parser.add_argument(
"-o",
"--out",
type=str,
default=DEFAULT_MODELS_PATH,
help="Directory where your models are stored",
)
def set_train_arguments(parser: argparse.ArgumentParser):
add_data_param(parser)
add_config_param(parser)
add_domain_param(parser)
add_out_param(parser, help_text="Directory where your models should be stored.")
add_augmentation_param(parser)
add_debug_plots_param(parser)
add_dump_stories_param(parser)
add_model_name_param(parser)
add_force_param(parser)
def set_train_arguments(parser: argparse.ArgumentParser):
add_data_param(parser)
add_config_param(parser)
add_domain_param(parser)
add_out_param(parser)
add_augmentation_param(parser)
add_debug_plots_param(parser)
add_dump_stories_param(parser)
add_model_name_param(parser)
add_force_param(parser)
add_compress_param(parser)
def set_train_nlu_arguments(parser: argparse.ArgumentParser) -> None:
"""Specifies CLI arguments for `rasa train nlu`."""
add_config_param(parser)
add_domain_param(parser, default=None)
add_out_param(parser,
help_text="Directory where your models should be stored.")
add_nlu_data_param(parser,
help_text="File or folder containing your NLU data.")
_add_num_threads_param(parser)
_add_model_name_param(parser)
add_persist_nlu_data_param(parser)
add_finetune_params(parser)
def set_train_arguments(parser: argparse.ArgumentParser) -> None:
"""Specifies CLI arguments for `rasa train`."""
add_data_param(parser)
add_config_param(parser)
add_domain_param(parser)
add_out_param(parser,
help_text="Directory where your models should be stored.")
add_dry_run_param(parser)
add_augmentation_param(parser)
add_debug_plots_param(parser)
_add_num_threads_param(parser)
_add_model_name_param(parser)
add_persist_nlu_data_param(parser)
add_force_param(parser)
add_finetune_params(parser)
def set_x_arguments(parser: argparse.ArgumentParser):
default_arguments.add_model_param(parser, add_positional_arg=False)
default_arguments.add_data_param(parser,
default=DEFAULT_DATA_PATH,
data_type="stories and Rasa NLU ")
default_arguments.add_config_param(parser)
default_arguments.add_domain_param(parser)
parser.add_argument(
"--no-prompt",
action="store_true",
help=
"Automatic yes or default options to prompts and oppressed warnings.",
)
parser.add_argument(
"--production",
action="store_true",
help="Run Rasa X in a production environment.",
)
parser.add_argument(
"--rasa-x-port",
default=DEFAULT_RASA_X_PORT,
type=int,
help="Port to run the Rasa X server at.",
)
parser.add_argument(
"--config-endpoint",
type=str,
help=
"Rasa X endpoint URL from which to pull the runtime config. This URL "
"typically contains the Rasa X token for authentication. Example: "
"https://example.com/api/config?token=my_rasa_x_token",
)
add_server_arguments(parser)
def set_visualize_stories_arguments(parser: argparse.ArgumentParser):
add_domain_param(parser)
add_stories_param(parser)
add_config_param(parser)
add_out_param(
parser,
default="graph.html",
help_text="Filename of the output path, e.g. 'graph.html'.",
)
parser.add_argument(
"--max-history",
default=2,
type=int,
help="Max history to consider when merging paths in the output graph.",
)
add_nlu_data_param(
parser,
default=None,
help_text="File or folder containing your NLU data, "
"used to insert example messages into the graph.",
)
def add_subparser(subparsers: argparse._SubParsersAction,
parents: List[argparse.ArgumentParser]):
show_parser = subparsers.add_parser(
"show",
parents=parents,
conflict_handler="resolve",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Visualize Rasa Stack data",
)
show_subparsers = show_parser.add_subparsers()
show_stories_subparser = show_subparsers.add_parser(
"stories",
conflict_handler="resolve",
parents=parents,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Show Rasa Core stories",
)
add_core_visualization_params(show_stories_subparser)
add_config_param(show_stories_subparser)
show_stories_subparser.set_defaults(func=show_stories)
show_parser.set_defaults(func=lambda _: show_parser.print_help(None))
def set_show_stories_arguments(parser: argparse.ArgumentParser):
add_domain_param(parser)
add_stories_param(parser)
add_config_param(parser)
add_visualization_arguments(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)
