DataPipelineExecutionResponse

pydantic model openapi_client.models.data_pipeline_execution_response.DataPipelineExecutionResponse

DataPipelineExecutionResponse

Fields:
field data_pipeline_id: Optional[StrictStr] = None (alias 'DataPipelineId')
field data_pipeline_execution_id: Optional[StrictStr] = None (alias 'DataPipelineExecutionId')
field pipeline_type: Optional[StrictStr] = None (alias 'PipelineType')
field started_on: Optional[StrictStr] = None (alias 'StartedOn')
field completed_on: Optional[StrictStr] = None (alias 'CompletedOn')
field execution_status: Optional[StrictStr] = None (alias 'ExecutionStatus')
field execution_output: Optional[StrictStr] = None (alias 'ExecutionOutput')
field bedrock_execution_id: Optional[StrictStr] = None (alias 'BedrockExecutionId')

AWS Bedrock Flow execution ID (for AI Flow pipelines)

field execution_properties: Optional[Dict[str, Any]] = None (alias 'ExecutionProperties')
field nodes: Optional[List[DataPipelineExecutionResponseNodesInner]] = None (alias 'Nodes')
field graph: Optional[Dict[str, Any]] = None (alias 'Graph')
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 DataPipelineExecutionResponse 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 DataPipelineExecutionResponse from a dict

Return type:

Optional[Self]