ScheduleJobEdit

pydantic model openapi_client.models.schedule_job_edit.ScheduleJobEdit

PUT /schedules/{id} body.

Fields:

• additional_properties (Dict[str, Any])

• arguments (List[openapi_client.models.scheduled_job_argument.ScheduledJobArgument] | None)

• description (str | None)

• event_targets (List[Dict[str, Any]] | None)

• is_enabled (bool | None)

• keywords (List[str] | None)

• priority (int | None)

• schedule_description (str | None)

• schedule_name (str | None)

• schedule_param (openapi_client.models.schedule_param.ScheduleParam | None)

• source_arn (str | None)

• start_schedule (openapi_client.models.datalab_schedule_expression_input.DatalabScheduleExpressionInput | None)

• state (str | None)

• stop_schedule (openapi_client.models.datalab_schedule_expression_input.DatalabScheduleExpressionInput | None)

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

Schedule description (required for most job schedule edits).

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

Keyword list (required for most job schedule edits).

field schedule_param: Optional[ScheduleParam] = None (alias 'ScheduleParam')

field arguments: Optional[List[ScheduledJobArgument]] = None (alias 'Arguments')

Argument list for event-trigger, external-trigger (jobs), or data-pipelines and etl time/event/none schedules.

field event_targets: Optional[List[Dict[str, Any]]] = None (alias 'EventTargets')

Event targets for event-trigger schedules.

field source_arn: Optional[StrictStr] = None (alias 'SourceArn')

SNS FIFO topic ARN for external-trigger schedules.

field state: Optional[StrictStr] = None (alias 'State')

Enable/disable for external-trigger schedules.

field schedule_name: Optional[StrictStr] = None (alias 'ScheduleName')

Datalab notebook schedule display name.

field schedule_description: Optional[StrictStr] = None (alias 'ScheduleDescription')

Datalab notebook schedule description.

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

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

field is_enabled: Optional[StrictBool] = None (alias 'IsEnabled')

Datalab notebook schedule enabled flag.

field priority: Optional[StrictInt] = None (alias 'Priority')

Datalab notebook schedule priority (lower = higher priority).

field additional_properties: Dict[str, Any] = {}

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 ScheduleJobEdit 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.

• Fields in self.additional_properties are added to the output dict.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of ScheduleJobEdit from a dict

Return type:

Optional[Self]