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]