DataPipelinesPost

pydantic model openapi_client.models.data_pipelines_post.DataPipelinesPost

DataPipelinesPost

Fields:
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 keywords: Optional[List[StrictStr]] = None (alias 'Keywords')
field cost_tags: Optional[List[ETLJobByIdResponseCostTagsInner]] = None (alias 'CostTags')
field default_execution_properties: Optional[Dict[str, Any]] = None (alias 'DefaultExecutionProperties')
field tags: Optional[Dict[str, Any]] = None
field notification_configuration: Optional[List[DataPipelinesNotificationConfigurationInner]] = None (alias 'NotificationConfiguration')

List of notification configurations for data pipeline events.

field nodes: Optional[List[DataPipelinesPostNodesInner]] = None (alias 'Nodes')
field graph: Optional[Dict[str, Any]] = None (alias 'Graph')
field max_concurrent_runs: Optional[StrictInt] = None (alias 'MaxConcurrentRuns')
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 DataPipelinesPost 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 DataPipelinesPost from a dict

Return type:

Optional[Self]