DatalabResourceAccessResponse

pydantic model openapi_client.models.datalab_resource_access_response.DatalabResourceAccessResponse

Datasets, domains and parameters attached to the datalab, with the state of the most recent access update.

Fields:

• dataset_access (openapi_client.models.dataset_access.DatasetAccess | None)

• domain_access (openapi_client.models.domain_access.DomainAccess | None)

• message (str | None)

• parameter_access (List[str] | None)

• status (str | None)

field status: Optional[StrictStr] = None (alias 'Status')

State of the most recent access update. Shows updated once the change has been applied.

field message: Optional[StrictStr] = None (alias 'Message')

The datalab’s most recent status message, which may relate to this access update or to another recent operation. Empty when there is none.

field dataset_access: Optional[DatasetAccess] = None (alias 'DatasetAccess')

field domain_access: Optional[DomainAccess] = None (alias 'DomainAccess')

field parameter_access: Optional[List[StrictStr]] = None (alias 'ParameterAccess')

ParameterKey values the job may read. Create allows at most 25 parameters (JOB-1003).

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 DatalabResourceAccessResponse 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 DatalabResourceAccessResponse from a dict

Return type:

Optional[Self]