MetadataGeneratorOutput

pydantic model openapi_client.models.metadata_generator_output.MetadataGeneratorOutput

Response for POST /generate-payload/{resource_type}. get-schema returns DatasetSchema[]; get-payload returns Payload with create-dataset fields.

Fields:

• dataset_schema (List[openapi_client.models.dataset_schema.DatasetSchema] | None)

• payload (openapi_client.models.metadata_generator_output_payload.MetadataGeneratorOutputPayload | None)

field dataset_schema: Optional[List[DatasetSchema]] = None (alias 'DatasetSchema')

Present for Action=get-schema.

field payload: Optional[MetadataGeneratorOutputPayload] = None (alias 'Payload')

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of MetadataGeneratorOutput from a JSON string

Return type:

Optional[Self]

to_dict()

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)

Create an instance of MetadataGeneratorOutput from a dict

Return type:

Optional[Self]