GetDataPipelineDetailsResponse

pydantic model openapi_client.models.get_data_pipeline_details_response.GetDataPipelineDetailsResponse

Default GET /data-pipelines/{id} details (no script action). Includes AccessType and stored graph/nodes. Not the listing item schema.

Fields:

• access_type (str | None)

• additional_properties (Dict[str, Any])

• aws_identifier (str | None)

• cost_tags (List[openapi_client.models.data_pipeline_cost_tag.DataPipelineCostTag] | None)

• created_by (str | None)

• creation_time (str | None)

• data_pipeline_id (str)

• data_pipeline_name (str)

• data_pipeline_type (str | None)

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

• dependent_data_pipelines (List[str] | None)

• description (str | None)

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

• keywords (List[str] | None)

• last_modified_by (str | None)

• last_modified_time (str | None)

• max_concurrent_runs (int | None)

• message (openapi_client.models.get_data_pipeline_details_response_message.GetDataPipelineDetailsResponseMessage | None)

• nodes (List[openapi_client.models.data_pipeline_node.DataPipelineNode] | None)

• notification_configuration (List[openapi_client.models.data_pipelines_notification_configuration_inner.DataPipelinesNotificationConfigurationInner] | None)

• pipeline_status (str | None)

• schedule_id (List[str] | None)

• status (str | None)

• version (str | None)

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

Constraints:

• strict = True

field data_pipeline_name: StrictStr [Required] (alias 'DataPipelineName')

Constraints:

• strict = True

field description: Optional[StrictStr] = None (alias 'Description')

field data_pipeline_type: Optional[StrictStr] = None (alias 'DataPipelineType')

field access_type: Optional[StrictStr] = None (alias 'AccessType')

field created_by: Optional[StrictStr] = None (alias 'CreatedBy')

field creation_time: Optional[StrictStr] = None (alias 'CreationTime')

field last_modified_by: Optional[StrictStr] = None (alias 'LastModifiedBy')

field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')

field keywords: Optional[List[StrictStr]] = None (alias 'Keywords')

field pipeline_status: Optional[StrictStr] = None (alias 'PipelineStatus')

field message: Optional[GetDataPipelineDetailsResponseMessage] = None (alias 'Message')

field default_execution_properties: Optional[Dict[str, Any]] = None (alias 'DefaultExecutionProperties')

field notification_configuration: Optional[List[DataPipelinesNotificationConfigurationInner]] = None (alias 'NotificationConfiguration')

List of notification configurations for data pipeline events.

field nodes: Optional[List[DataPipelineNode]] = 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 max_concurrent_runs: Optional[StrictInt] = None (alias 'MaxConcurrentRuns')

field cost_tags: Optional[List[DataPipelineCostTag]] = None (alias 'CostTags')

field dependent_data_pipelines: Optional[List[StrictStr]] = None (alias 'DependentDataPipelines')

field schedule_id: Optional[List[StrictStr]] = None (alias 'ScheduleId')

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

Bedrock Flow id for AI pipelines.

field status: Optional[StrictStr] = None (alias 'Status')

Bedrock Flow status (Prepared, Creating, Preparing, Failed).

field version: Optional[StrictStr] = None (alias 'Version')

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 GetDataPipelineDetailsResponse 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 GetDataPipelineDetailsResponse from a dict

Return type:

Optional[Self]