DatalabScheduleUpdateInput¶

pydantic model openapi_client.models.datalab_schedule_update_input.DatalabScheduleUpdateInput¶

DatalabScheduleUpdateInput

Fields:

field schedule_name: Optional[Annotated[str, Field(min_length=3, strict=True, max_length=120)]] = None (alias 'ScheduleName')¶: Display name for the schedule. Must be 3-120 alphanumeric or underscore characters, starting with a letter. Must be unique within the datalab.

field schedule_description: Optional[Annotated[str, Field(strict=True, max_length=500)]] = None (alias 'ScheduleDescription')¶: Description for the schedule. Must not contain angle brackets, braces, backslashes, or control characters.

field start_schedule: Optional[DatalabScheduleExpressionInput] = None (alias 'StartSchedule')¶

field stop_schedule: Optional[DatalabScheduleExpressionInput] = None (alias 'StopSchedule')¶

field priority: Optional[Annotated[int, Field(strict=True, ge=1)]] = None (alias 'Priority')¶: Natural number where lower values indicate higher priority. Valid range is 1 through the existing schedule count on the datalab. Only provided fields are updated. StartSchedule and StopSchedule cannot be added or removed.

to_str()¶

Returns the string representation of the model using alias

to_json()¶

Returns the JSON representation of the model using alias

classmethod from_json(json_str)¶

Create an instance of DatalabScheduleUpdateInput from a JSON string

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.

classmethod from_dict(obj)¶

Create an instance of DatalabScheduleUpdateInput from a dict