Source code for bentoml.exceptions

from __future__ import annotations

from http import HTTPStatus


[docs]class BentoMLException(Exception): """ Base class for all BentoML's errors. Each custom exception should be derived from this class. """ error_code = HTTPStatus.INTERNAL_SERVER_ERROR error_mapping: dict[HTTPStatus, type[BentoMLException]] = {} def __init_subclass__(cls) -> None: if "error_code" in cls.__dict__: cls.error_mapping.setdefault(cls.error_code, cls) def __init__(self, message: str, *, error_code: HTTPStatus | None = None): self.message = message if error_code is not None: self.error_code = error_code super().__init__(message)
class StateException(Exception): """ Raised when the state of an object is not valid. """ error_code = HTTPStatus.BAD_REQUEST
[docs]class RemoteException(BentoMLException): """ A special exception that is used to wrap the exception from remote server """ def __init__(self, message: str, payload: BentoMLException | None = None): self.payload = payload super().__init__(message)
[docs]class InvalidArgument(BentoMLException): """ Raised when BentoML received unexpected/invalid arguments from CLI arguments, HTTP Request, or python API function parameters. """ error_code = HTTPStatus.BAD_REQUEST
[docs]class InternalServerError(BentoMLException): """ Raised when BentoML received valid arguments from CLI arguments, HTTP Request, or python API function parameters, but got internal issues while processing. * Note to BentoML developers: raise this exception only when exceptions happend in the users' code (runner or service) and want to surface it to the user. """
class APIDeprecated(BentoMLException): """ Raised when trying to use deprecated APIs of BentoML """
[docs]class BadInput(InvalidArgument): """Raised when API server receiving bad input request""" error_code = HTTPStatus.BAD_REQUEST
[docs]class NotFound(BentoMLException): """ Raised when specified resource or name not found """ error_code = HTTPStatus.NOT_FOUND
class UnprocessableEntity(BentoMLException): """ Raised when API server receiving unprocessable entity request """ error_code = HTTPStatus.UNPROCESSABLE_ENTITY
[docs]class ServiceUnavailable(BentoMLException): """ Raised when incoming requests exceeds the capacity of a server """ error_code = HTTPStatus.SERVICE_UNAVAILABLE
[docs]class BentoMLConfigException(BentoMLException): """Raised when BentoML is mis-configured or when required configuration is missing"""
[docs]class MissingDependencyException(BentoMLException): """ Raised when BentoML component failed to load required dependencies. Some BentoML components have optional dependencies that can be installed as extensions. For example, when using the :class:`~bentoml._internal.io_descriptors.json.JSON` IODescriptor, ``pydantic`` is considered as an optional feature if users want to use it to validate. BentoML will still work without ``pydantic`` installed. """
class CLIException(BentoMLException): """Raised when CLI encounters an issue""" class CloudRESTApiClientError(BentoMLException): """Raised when communicating with Yatai or BentoCloud server.""" pass
[docs]class ImportServiceError(BentoMLException): """Raised when BentoML failed to import the user's service file.""" pass
class UnservableException(StateException): """Raised when a service is not servable.""" pass class ServerStateException(StateException): """Raised when a server API requiring the BentoML server to be running is executed when the server is not running.""" pass