DatalabUpdateInputAdditionalMetadata

pydantic model openapi_client.models.datalab_update_input_additional_metadata.DatalabUpdateInputAdditionalMetadata

DatalabUpdateInputAdditionalMetadata

Fields:

• is_sessions_enabled (bool | None)

• keywords (List[str] | None)

• lifecycle_configuration (str | None)

• r_studio_access_status (str | None)

• studio_advanced_config (openapi_client.models.datalab_create_input_additional_metadata_studio_advanced_config.DatalabCreateInputAdditionalMetadataStudioAdvancedConfig | None)

field keywords: Optional[List[StrictStr]] = None (alias 'Keywords')

field is_sessions_enabled: Optional[StrictBool] = None (alias 'IsSessionsEnabled')

field lifecycle_configuration: Optional[StrictStr] = None (alias 'LifecycleConfiguration')

field r_studio_access_status: Optional[StrictStr] = None (alias 'RStudioAccessStatus')

field studio_advanced_config: Optional[DatalabCreateInputAdditionalMetadataStudioAdvancedConfig] = None (alias 'StudioAdvancedConfig')

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 DatalabUpdateInputAdditionalMetadata 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 DatalabUpdateInputAdditionalMetadata from a dict

Return type:

Optional[Self]