HighCostingServiceResponseServicesDataPipelinesInner

pydantic model openapi_client.models.high_costing_service_response_services_data_pipelines_inner.HighCostingServiceResponseServicesDataPipelinesInner

One high-costing data pipeline.

Fields:

• active_time (str | None)

• created_by (str | None)

• data_pipeline_id (str | None)

• data_pipeline_name (str | None)

• estimated_cost (str | None)

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

Data pipeline name.

field data_pipeline_id: Optional[StrictStr] = None (alias 'DataPipelineId')

Data pipeline identifier.

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

User who created the pipeline.

field estimated_cost: Optional[StrictStr] = None (alias 'EstimatedCost')

Estimated cost accrued by the running pipeline.

field active_time: Optional[StrictStr] = None (alias 'ActiveTime')

Hours the pipeline has been running.

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 HighCostingServiceResponseServicesDataPipelinesInner 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 HighCostingServiceResponseServicesDataPipelinesInner from a dict

Return type:

Optional[Self]