ModelByIdGetResponseBody

class openapi_client.models.model_by_id_get_response_body.ModelByIdGetResponseBody(**data)[source]

Bases: BaseModel

supported_file_formats: Optional[List[StrictStr]]
input_schema: Optional[List[Dict[str, Any]]]
last_modified_by: Optional[StrictStr]
artifacts_location: Optional[StrictStr]
keywords: Optional[List[StrictStr]]
description: Optional[StrictStr]
post_processed_glue_jobs: Optional[StrictStr]
is_subscribed_model: Optional[StrictStr]
model_name: Optional[StrictStr]
algorithm_used: Optional[StrictStr]
last_modified_time: Optional[StrictStr]
output_type: Optional[StrictStr]
output_schema: Optional[List[ModelByIdGetResponseBodyOutputSchemaInner]]
model_id: Optional[StrictStr]
creation_time: Optional[StrictStr]
created_by: Optional[StrictStr]
pre_processed_glue_jobs: Optional[StrictStr]
access_type: Optional[StrictStr]
model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

to_str()[source]

Returns the string representation of the model using alias

Return type:

str

to_json()[source]

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)[source]

Create an instance of ModelByIdGetResponseBody from a JSON string

Return type:

Optional[Self]

to_dict()[source]

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

  • None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)[source]

Create an instance of ModelByIdGetResponseBody from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'access_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='AccessType', alias_priority=2), 'algorithm_used': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='AlgorithmUsed', alias_priority=2), 'artifacts_location': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ArtifactsLocation', alias_priority=2), 'created_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreatedBy', alias_priority=2), 'creation_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreationTime', alias_priority=2), 'description': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Description', alias_priority=2), 'input_schema': FieldInfo(annotation=Union[List[Dict[str, Any]], NoneType], required=False, alias='InputSchema', alias_priority=2), 'is_subscribed_model': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='IsSubscribedModel', alias_priority=2), 'keywords': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='Keywords', alias_priority=2), 'last_modified_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedBy', alias_priority=2), 'last_modified_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedTime', alias_priority=2), 'model_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ModelId', alias_priority=2), 'model_name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ModelName', alias_priority=2), 'output_schema': FieldInfo(annotation=Union[List[ModelByIdGetResponseBodyOutputSchemaInner], NoneType], required=False, alias='OutputSchema', alias_priority=2), 'output_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='OutputType', alias_priority=2), 'post_processed_glue_jobs': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='PostProcessedGlueJobs', alias_priority=2), 'pre_processed_glue_jobs': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='PreProcessedGlueJobs', alias_priority=2), 'supported_file_formats': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='SupportedFileFormats', alias_priority=2)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:
  • self (BaseModel) – The BaseModel instance.

  • __context (Any) – The context.

Return type:

None