DatalabUpdateInputResourceAccessMetadata

pydantic model openapi_client.models.datalab_update_input_resource_access_metadata.DatalabUpdateInputResourceAccessMetadata

DatalabUpdateInputResourceAccessMetadata

Fields:

• code_repository_access (Dict[str, Any] | None)

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

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

• parameter_access (List[str] | None)

• shared_libraries_access (List[str] | 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).

field shared_libraries_access: Optional[List[StrictStr]] = None (alias 'SharedLibrariesAccess')

Shared library IDs attached to the job. Create allows at most 25 (JOB-1003).

field code_repository_access: Optional[Dict[str, Any]] = None (alias 'CodeRepositoryAccess')

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 DatalabUpdateInputResourceAccessMetadata 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 DatalabUpdateInputResourceAccessMetadata from a dict

Return type:

Optional[Self]