def create_argument_parser() -> argparse.ArgumentParser:
"""Parse all the command line arguments for the training script."""
parser = argparse.ArgumentParser(
prog="rasa",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description="Rasa command line interface. Rasa allows you to build "
"your own conversational assistants 🤖. The 'rasa' command "
"allows you to easily run most common commands like "
"creating a new bot, training or evaluating models.")
parser.add_argument("--version",
action='store_true',
default=argparse.SUPPRESS,
help="Print installed Rasa version")
parent_parser = argparse.ArgumentParser(add_help=False)
add_logging_option_arguments(parent_parser)
parent_parsers = [parent_parser]
subparsers = parser.add_subparsers(help='Rasa commands')
scaffold.add_subparser(subparsers, parents=parent_parsers)
run.add_subparser(subparsers, parents=parent_parsers)
shell.add_subparser(subparsers, parents=parent_parsers)
train.add_subparser(subparsers, parents=parent_parsers)
interactive.add_subparser(subparsers, parents=parent_parsers)
test.add_subparser(subparsers, parents=parent_parsers)
show.add_subparser(subparsers, parents=parent_parsers)
data.add_subparser(subparsers, parents=parent_parsers)
up.add_subparser(subparsers, parents=parent_parsers)
return parser
def test_data_validate_stories_with_max_history_zero(monkeypatch: MonkeyPatch):
parser = argparse.ArgumentParser()
subparsers = parser.add_subparsers(help="Rasa commands")
data.add_subparser(subparsers, parents=[])
args = parser.parse_args(["data", "validate", "stories", "--max-history", 0])
async def mock_from_importer(importer: TrainingDataImporter) -> Validator:
return Mock()
monkeypatch.setattr("rasa.validator.Validator.from_importer", mock_from_importer)
with pytest.raises(argparse.ArgumentTypeError):
data.validate_files(args)
def create_argument_parser() -> argparse.ArgumentParser:
"""Parse all the command line arguments for the training script."""
parser = argparse.ArgumentParser(
prog="rasa",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description="Rasa command line interface. Rasa allows you to build "
"your own conversational assistants 🤖. The 'rasa' command "
"allows you to easily run most common commands like "
"creating a new bot, training or evaluating models.",
)
parser.add_argument(
"--version",
action="store_true",
default=argparse.SUPPRESS,
help="Print installed Rasa version",
)
parent_parser = argparse.ArgumentParser(add_help=False) # 一级命令解析器
add_logging_options(parent_parser)
parent_parsers = [parent_parser]
subparsers = parser.add_subparsers(help="Rasa commands") # 二级命令解析器
scaffold.add_subparser(subparsers, parents=parent_parsers) # 解析rasa init
run.add_subparser(subparsers, parents=parent_parsers) # 解析rasa run
shell.add_subparser(subparsers, parents=parent_parsers) # 解析rasa shell
train.add_subparser(subparsers, parents=parent_parsers) # 解析 rasa train
interactive.add_subparser(subparsers, parents=parent_parsers) # 解析rasa interactive
test.add_subparser(subparsers, parents=parent_parsers) # 解析rasa test
visualize.add_subparser(subparsers, parents=parent_parsers) # 解析rasa visualize
data.add_subparser(subparsers, parents=parent_parsers) # 解析rasa data
x.add_subparser(subparsers, parents=parent_parsers) # 解析rasa x
return parser
