DataPipelineExecutionResponseNodesInner

pydantic model openapi_client.models.data_pipeline_execution_response_nodes_inner.DataPipelineExecutionResponseNodesInner

DataPipelineExecutionResponseNodesInner

Fields:

• arguments (Dict[str, Any] | None)

• attempt (int | None)

• child_resource_execution_id (str | None)

• child_resource_name (str | None)

• completed_on (str | None)

• error_message (str | None)

• execution_time (float | int | None)

• ingestion_type (str | None)

• job_run_state (str | None)

• log_status (Dict[str, Any] | None)

• module_type (str | None)

• node_name (str | None)

• resource (openapi_client.models.data_pipeline_execution_response_nodes_inner_resource.DataPipelineExecutionResponseNodesInnerResource | None)

• run_id (str | None)

• s3_log_path (Dict[str, Any] | None)

• started_on (str | None)

• timeout (int | None)

field module_type: Optional[StrictStr] = None (alias 'ModuleType')

field node_name: Optional[StrictStr] = None (alias 'NodeName')

field run_id: Optional[StrictStr] = None (alias 'RunId')

field error_message: Optional[StrictStr] = None (alias 'ErrorMessage')

field resource: Optional[DataPipelineExecutionResponseNodesInnerResource] = None (alias 'Resource')

field arguments: Optional[Dict[str, Any]] = None (alias 'Arguments')

field started_on: Optional[StrictStr] = None (alias 'StartedOn')

field completed_on: Optional[StrictStr] = None (alias 'CompletedOn')

field execution_time: Optional[Union[StrictFloat, StrictInt]] = None (alias 'ExecutionTime')

field job_run_state: Optional[StrictStr] = None (alias 'JobRunState')

Per-node run state (NOT_STARTED - Pipeline not executed till now, RUNNING - Pipeline is running right now, SUCCEEDED: Last Pipeline Run completed successfully, FAILED: Last Pipeline Run failed, STOPPED: Last Pipeline Run was stopped). Populated for Glue workflow executions from AWS Glue; for AI Flow executions from Bedrock flow traces and terminal status.

field attempt: Optional[StrictInt] = None (alias 'Attempt')

field child_resource_name: Optional[StrictStr] = None (alias 'ChildResourceName')

field child_resource_execution_id: Optional[StrictStr] = None (alias 'ChildResourceExecutionId')

field ingestion_type: Optional[StrictStr] = None (alias 'IngestionType')

field s3_log_path: Optional[Dict[str, Any]] = None (alias 'S3LogPath')

field log_status: Optional[Dict[str, Any]] = None (alias 'LogStatus')

field timeout: Optional[StrictInt] = None (alias 'Timeout')

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 DataPipelineExecutionResponseNodesInner 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 DataPipelineExecutionResponseNodesInner from a dict

Return type:

Optional[Self]