ModelDescription
- class ModelDescription
Bases:
CommonBaseModelRepresents the model description.
- specification_version
The specification version.
- Type:
Optional[str]
- model_name
The name of the model.
- Type:
Optional[str]
- guid
The globally unique identifier of the model.
- Type:
Optional[str]
- generation_tool
The tool used to generate the model.
- Type:
Optional[str]
- generation_date_and_time
The date and time when the model was generated.
- Type:
Optional[datetime]
- data_exchange
The data exchange information.
- Type:
Optional[DataExchange]
- license
The license of the model.
- Type:
Optional[str]
- copyright
The copyright information.
- Type:
Optional[str]
- author
The author of the model.
- Type:
Optional[str]
- version
The version of the model.
- Type:
Optional[str]
- description
A description of the model.
- Type:
Optional[str]
Attributes Summary
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
Methods Summary
Attributes Documentation
- model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'allow', 'protected_namespaces': (), 'validate_assignment': True}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
Methods Documentation
- classmethod validate_guid(v)
- classmethod validate_specification_version(v)
Attributes:
__setattr__ handlers.
- __pydantic_setattr_handlers__: ClassVar[Dict[str, Callable[[BaseModel, str, Any], None]]] = {}
__setattr__ handlers. Memoizing the handlers leads to a dramatic performance improvement in __setattr__