DatalabCreateInput

pydantic model openapi_client.models.datalab_create_input.DatalabCreateInput

Settings for a new datalab. Compute, resource access and additional settings are optional; anything omitted falls back to a default.

Fields:

• additional_metadata (openapi_client.models.datalab_create_input_additional_metadata.DatalabCreateInputAdditionalMetadata | None)

• compute_metadata (openapi_client.models.datalab_create_input_compute_metadata.DatalabCreateInputComputeMetadata | None)

• datalab_name (str)

• datalab_type (str)

• description (str | None)

• enable_custom_r (bool | None)

• resource_access_metadata (openapi_client.models.datalab_create_input_resource_access_metadata.DatalabCreateInputResourceAccessMetadata | None)

field datalab_name: Annotated[str, Field(min_length=3, strict=True, max_length=50)] [Required] (alias 'DatalabName')

Name for the datalab, unique across the application and fixed once created. 3 to 50 characters, starting with a letter, using letters, numbers and hyphens only.

Constraints:

• strict = True

• min_length = 3

• max_length = 50

field datalab_type: StrictStr [Required] (alias 'DatalabType')

Kind of workspace to create. Cannot be changed later.

Constraints:

• strict = True

field description: Optional[StrictStr] = None (alias 'Description')

field enable_custom_r: Optional[StrictBool] = None (alias 'EnableCustomR')

Studio datalabs only. Enables the custom R environment.

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

field resource_access_metadata: Optional[DatalabCreateInputResourceAccessMetadata] = None (alias 'ResourceAccessMetadata')

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

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 DatalabCreateInput 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 DatalabCreateInput from a dict

Return type:

Optional[Self]