DatalabCreateInputAdditionalMetadata¶
- pydantic model openapi_client.models.datalab_create_input_additional_metadata.DatalabCreateInputAdditionalMetadata¶
Optional settings for keywords, cost tags, interactive sessions and startup scripts.
- Fields:
- field keywords: Optional[List[StrictStr]] = None (alias 'Keywords')¶
Search keywords for the datalab.
- field cost_tags: Optional[List[ETLJobByIdResponseCostTagsInner]] = None (alias 'CostTags')¶
Tags used to attribute the datalab’s running cost.
- field is_sessions_enabled: Optional[StrictBool] = False (alias 'IsSessionsEnabled')¶
Notebook datalabs only. Enables interactive sessions, which requires internet access to be Enabled.
- field lifecycle_configuration: Optional[StrictStr] = None (alias 'LifecycleConfiguration')¶
Name of the lifecycle configuration whose startup script runs on this datalab.
- field r_studio_access_status: Optional[StrictStr] = None (alias 'RStudioAccessStatus')¶
Studio datalabs only. Whether RStudio is available.
- 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 DatalabCreateInputAdditionalMetadata 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 DatalabCreateInputAdditionalMetadata from a dict
- Return type:
Optional[Self]