DatalabScheduleCreateInput¶
- pydantic model openapi_client.models.datalab_schedule_create_input.DatalabScheduleCreateInput¶
DatalabScheduleCreateInput
- Fields:
- field resource: StrictStr [Required] (alias 'Resource')¶
Datalab ID
- Constraints:
strict = True
- field resource_type: StrictStr [Required] (alias 'ResourceType')¶
- Constraints:
strict = True
- field schedule_name: Annotated[str, Field(min_length=3, strict=True, max_length=120)] [Required] (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.
- Constraints:
strict = True
min_length = 3
max_length = 120
- field schedule_description: Optional[Annotated[str, Field(strict=True, max_length=500)]] = None (alias 'ScheduleDescription')¶
Optional 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 is_enabled: StrictBool [Required] (alias 'IsEnabled')¶
- Constraints:
strict = True
- field priority: Annotated[int, Field(strict=True, ge=1)] [Required] (alias 'Priority')¶
Natural number where lower values indicate higher priority. Valid range is 1 through (existing schedule count on the datalab + 1). No two schedules on the same datalab may share the same priority.
- Constraints:
strict = True
ge = 1
- 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 DatalabScheduleCreateInput 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 DatalabScheduleCreateInput from a dict
- Return type:
Optional[Self]