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]