GetDataPipelineExecutionDetailsResponse

pydantic model openapi_client.models.get_data_pipeline_execution_details_response.GetDataPipelineExecutionDetailsResponse

GET /data-pipelines/{id}/executions/{executionid} Dynamo execution item after Glue/Bedrock status refresh when RUNNING or STOPPING.

Fields:

• additional_properties (Dict[str, Any])

• aws_identifier (str | None)

• bedrock_execution_id (str | None)

• completed_on (str | None)

• data_pipeline_execution_id (str)

• data_pipeline_id (str)

• execution_output (str | None)

• execution_properties (Dict[str, Any] | None)

• execution_status (str | None)

• extra_metadata (Dict[str, Any] | None)

• graph (Dict[str, openapi_client.models.data_pipeline_graph_successors.DataPipelineGraphSuccessors] | None)

• nodes (List[openapi_client.models.data_pipeline_execution_node.DataPipelineExecutionNode] | None)

• pipeline_type (str | None)

• started_on (str | None)

field data_pipeline_id: StrictStr [Required] (alias 'DataPipelineId')

Constraints:

• strict = True

field data_pipeline_execution_id: StrictStr [Required] (alias 'DataPipelineExecutionId')

Constraints:

• strict = True

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')

field aws_identifier: Optional[StrictStr] = None (alias 'AWSIdentifier')

field execution_properties: Optional[Dict[str, Any]] = None (alias 'ExecutionProperties')

field nodes: Optional[List[DataPipelineExecutionNode]] = None (alias 'Nodes')

field graph: Optional[Dict[str, DataPipelineGraphSuccessors]] = None (alias 'Graph')

Directed acyclic graph. Glue keys are NodeNames. AI Flow keys are NodeName.port (for example FlowInput.document) with success/failure targets also as NodeName.port. Each value is {success, failure} lists. Shared by create, update, details, and execution payloads.

field extra_metadata: Optional[Dict[str, Any]] = None (alias 'ExtraMetadata')

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 GetDataPipelineExecutionDetailsResponse 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 GetDataPipelineExecutionDetailsResponse from a dict

Return type:

Optional[Self]