DatasetAccess

pydantic model openapi_client.models.dataset_access.DatasetAccess

Datasets the job may read or own. Each list item identifies a dataset by DatasetId, DatasetName, and Domain. Empty lists are valid. Create allows at most 25 datasets across these lists (JOB-1003).

Fields:

• owner (List[openapi_client.models.dataset_name_domain_and_id.DatasetNameDomainAndId] | None)

• read_only (List[openapi_client.models.dataset_name_domain_and_id.DatasetNameDomainAndId] | None)

• read_only_file_level (List[openapi_client.models.dataset_name_domain_and_id.DatasetNameDomainAndId] | None)

field owner: Optional[List[DatasetNameDomainAndId]] = None (alias 'Owner')

Datasets the job role owns. Provide DatasetId, DatasetName, and Domain for each item.

field read_only: Optional[List[DatasetNameDomainAndId]] = None (alias 'ReadOnly')

Datasets the job may read. Provide DatasetId, DatasetName, and Domain for each item.

field read_only_file_level: Optional[List[DatasetNameDomainAndId]] = None (alias 'ReadOnlyFileLevel')

Datasets granted file-level read access. Provide DatasetId, DatasetName, and Domain for each item.

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 DatasetAccess 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 DatasetAccess from a dict

Return type:

Optional[Self]