HighCostingServiceResponseServicesDatalabsInner

pydantic model openapi_client.models.high_costing_service_response_services_datalabs_inner.HighCostingServiceResponseServicesDatalabsInner

One high-costing datalab.

Fields:
field datalab_name: Optional[StrictStr] = None (alias 'DatalabName')

Data lab name.

field datalab_id: Optional[StrictStr] = None (alias 'DatalabId')

Data lab identifier.

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

User who created the datalab.

field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')

Timestamp of the latest data lab update.

field compute_metadata: Optional[StrictStr] = None (alias 'ComputeMetadata')

Serialized compute configuration.

field additional_metadata: Optional[StrictStr] = None (alias 'AdditionalMetadata')

Additional service metadata.

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

Estimated cost accrued by the active datalab.

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

Duration for which the datalab has been active.

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 HighCostingServiceResponseServicesDatalabsInner 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 HighCostingServiceResponseServicesDatalabsInner from a dict

Return type:

Optional[Self]