def run_locally(args: argparse.Namespace) -> None:
"""Run a Rasa X instance locally.
Args:
args: commandline arguments
"""
_prevent_failure_if_git_is_not_available()
try:
# noinspection PyUnresolvedReferences
from rasax.community import local
except ModuleNotFoundError:
raise MissingDependencyException(
f"Rasa X does not seem to be installed, but it is needed for this "
f"CLI command. You can find more information on how to install Rasa X "
f"in local mode in the documentation: "
f"{DOCS_BASE_URL_RASA_X}/installation-and-setup/install/local-mode"
)
args.rasa_x_port = args.rasa_x_port or DEFAULT_RASA_X_PORT
args.port = args.port or DEFAULT_RASA_PORT
project_path = "."
_validate_rasa_x_start(args, project_path)
rasa_x_token = generate_rasa_x_token()
process = start_rasa_for_local_rasa_x(args, rasa_x_token=rasa_x_token)
config_path = _get_config_path(args)
domain_path = _get_domain_path(args)
telemetry.track_rasa_x_local()
# noinspection PyBroadException
try:
local.main(
args,
project_path,
args.data,
token=rasa_x_token,
config_path=config_path,
domain_path=domain_path,
)
except RasaXTermsError:
# User didn't accept the Rasa X terms.
pass
except Exception:
print(traceback.format_exc())
rasa.shared.utils.cli.print_error(
"Sorry, something went wrong (see error above). Make sure to start "
"Rasa X with valid data and valid domain and config files. Please, "
"also check any warnings that popped up.\nIf you need help fixing "
"the issue visit our forum: https://forum.rasa.com/."
)
finally:
process.terminate()
def validate_requirements(component_names: List[Optional[Text]]) -> None:
"""Validates that all required importable python packages are installed.
Raises:
InvalidConfigException: If one of the component names is `None`, likely
indicates that a custom implementation is missing this property
or that there is an invalid configuration file that we did not
catch earlier.
Args:
component_names: The list of component names.
"""
from rasa.nlu import registry
# Validate that all required packages are installed
failed_imports = {}
for component_name in component_names:
if component_name is None:
raise InvalidConfigException(
"Your pipeline configuration contains a component that is missing "
"a name. Please double check your configuration or if this is a "
"custom component make sure to implement the name property for "
"the component."
)
component_class = registry.get_component_class(component_name)
unavailable_packages = find_unavailable_packages(
component_class.required_packages()
)
if unavailable_packages:
failed_imports[component_name] = unavailable_packages
if failed_imports: # pragma: no cover
dependency_component_map = defaultdict(list)
for component, missing_dependencies in failed_imports.items():
for dependency in missing_dependencies:
dependency_component_map[dependency].append(component)
missing_lines = [
f"{d} (needed for {', '.join(cs)})"
for d, cs in dependency_component_map.items()
]
missing = "\n - ".join(missing_lines)
raise MissingDependencyException(
f"Not all required importable packages are installed to use "
f"the configured NLU pipeline. "
f"To use this pipeline, you need to install the "
f"missing modules: \n"
f" - {missing}\n"
f"Please install the packages that contain the missing modules."
)
def validate_requirements(component_names: List[Text]) -> None:
"""Validates that all required importable python packages are installed.
Args:
component_names: The list of component names.
"""
from rasa.nlu import registry
# Validate that all required packages are installed
failed_imports = {}
for component_name in component_names:
component_class = registry.get_component_class(component_name)
unavailable_packages = find_unavailable_packages(
component_class.required_packages()
)
if unavailable_packages:
failed_imports[component_name] = unavailable_packages
if failed_imports: # pragma: no cover
dependency_component_map = defaultdict(list)
for component, missing_dependencies in failed_imports.items():
for dependency in missing_dependencies:
dependency_component_map[dependency].append(component)
missing_lines = [
f"{d} (needed for {', '.join(cs)})"
for d, cs in dependency_component_map.items()
]
missing = "\n - ".join(missing_lines)
raise MissingDependencyException(
f"Not all required importable packages are installed to use "
f"the configured NLU pipeline. "
f"To use this pipeline, you need to install the "
f"missing modules: \n"
f" - {missing}\n"
f"Please install the packages that contain the missing modules."
)