DataPipelineAiFlowDatasetAccess

pydantic model openapi_client.models.data_pipeline_ai_flow_dataset_access.DataPipelineAiFlowDatasetAccess

Dataset pointer on AI Flow Retrieval and Storage nodes (DatasetAccess.DatasetId).

Fields:

• additional_properties (Dict[str, Any])

• dataset_id (str)

field dataset_id: StrictStr [Required] (alias 'DatasetId')

Constraints:

• strict = True

field additional_properties: Dict[str, Any] = {}

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 DataPipelineAiFlowDatasetAccess 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.

• Fields in self.additional_properties are added to the output dict.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of DataPipelineAiFlowDatasetAccess from a dict

Return type:

Optional[Self]