DatalabLifecycleConfigurationUpdate

pydantic model openapi_client.models.datalab_lifecycle_configuration_update.DatalabLifecycleConfigurationUpdate

Fields to change on an existing lifecycle configuration. All are optional and the name cannot be changed. Ignored when enabling or disabling a built-in configuration.

Fields:

• description (str | None)

• keywords (List[str] | None)

• on_create_script (str | None)

• on_start_script (str | None)

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

field on_create_script: Optional[Annotated[str, Field(strict=True, max_length=16384)]] = None (alias 'OnCreateScript')

Replacement base64-encoded script run when a datalab is first created.

field on_start_script: Optional[Annotated[str, Field(strict=True, max_length=16384)]] = None (alias 'OnStartScript')

Replacement base64-encoded script run each time a datalab starts.

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

Replacement list of search keywords.

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 DatalabLifecycleConfigurationUpdate 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 DatalabLifecycleConfigurationUpdate from a dict

Return type:

Optional[Self]