DatalabScheduleExpressionInput¶
- pydantic model openapi_client.models.datalab_schedule_expression_input.DatalabScheduleExpressionInput¶
DatalabScheduleExpressionInput
- Fields:
- field schedule_type: DatalabScheduleExpressionType [Required] (alias 'ScheduleType')¶
- field schedule_time: StrictStr [Required] (alias 'ScheduleTime')¶
Time of day for the schedule expression in HH:MM:SS format (UTC). Used by all schedule types.
- Constraints:
strict = True
- field schedule_date: Optional[StrictStr] = None (alias 'ScheduleDate')¶
Date for one-time schedule expressions in YYYY-MM-DD format (UTC). Required when ScheduleType is one-time; must not be provided for recurring schedule types.
- field schedule_recurrence_days: Optional[List[StrictInt]] = None (alias 'ScheduleRecurrenceDays')¶
Required for weekly-recurring and monthly-recurring schedule expressions. For weekly-recurring, use 1-7 for Monday through Sunday. For monthly-recurring, use day-of-month values (e.g. 11, 22, 30).
- 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 DatalabScheduleExpressionInput 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 DatalabScheduleExpressionInput from a dict
- Return type:
Optional[Self]