UpdateDataPipelineRequestBody

pydantic model openapi_client.models.update_data_pipeline_request_body.UpdateDataPipelineRequestBody

PUT /data-pipelines/{id} body. Glue fills omitted keys from DATA_PIPELINE_UPDATE_PARAMETERS (DataPipelineName, Description, Nodes, DefaultExecutionProperties, Graph, Keywords, MaxConcurrentRuns, NotificationConfiguration). AI requires at least one of Description, Nodes, DefaultExecutionProperties, Graph, Keywords. Query publish is ignored.

Fields:

• additional_properties (Dict[str, Any])

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

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

• description (str | None)

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

• keywords (List[str] | None)

• max_concurrent_runs (int | None)

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

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

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

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

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

field default_execution_properties: Optional[Dict[str, StrictStr]] = 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[Annotated[int, Field(le=600, strict=True, ge=1)]] = None (alias 'MaxConcurrentRuns')

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 UpdateDataPipelineRequestBody 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 UpdateDataPipelineRequestBody from a dict

Return type:

Optional[Self]