DataPipeline

pydantic model openapi_client.models.data_pipeline.DataPipeline

DataPipeline

Fields:

• access_type (str | None)

• aws_identifier (str | None)

• cost_tags (List[openapi_client.models.etl_job_by_id_response_cost_tags_inner.ETLJobByIdResponseCostTagsInner] | None)

• created_by (str | None)

• creation_time (str | None)

• data_pipeline_id (str | None)

• data_pipeline_name (str | None)

• data_pipeline_type (str | None)

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

• dependent_data_pipelines (List[str] | None)

• description (str | None)

• graph (Dict[str, Any] | None)

• keywords (List[str] | None)

• lambda_node_presigned_url (openapi_client.models.data_pipeline_lambda_node_presigned_url.DataPipelineLambdaNodePresignedUrl | None)

• last_modified_by (str | None)

• last_modified_time (str | None)

• last_run_status (str | None)

• max_concurrent_runs (int | None)

• message (str | None)

• nodes (List[openapi_client.models.data_pipeline_nodes_inner.DataPipelineNodesInner] | 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 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 data_pipeline_id: Optional[StrictStr] = None (alias 'DataPipelineId')

field data_pipeline_name: Optional[StrictStr] = None (alias 'DataPipelineName')

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

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

field last_run_status: Optional[StrictStr] = None (alias 'LastRunStatus')

Status of the most recent execution for this data pipeline.

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

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

Error message when create or update failed mentioning the cause of error.

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

field lambda_node_presigned_url: Optional[DataPipelineLambdaNodePresignedUrl] = None (alias 'LambdaNodePresignedUrl')

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[DataPipelineNodesInner]] = None (alias 'Nodes')

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

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

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

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

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

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

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

AWS Bedrock Flow identifier for AI Flow pipelines

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

Status of the Bedrock Flow (Prepared|Creating|Preparing|Failed)

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 DataPipeline 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 DataPipeline from a dict

Return type:

Optional[Self]