ScheduleGetResponse

pydantic model openapi_client.models.schedule_get_response.ScheduleGetResponse

Success body for GET /schedules/{id}.

Fields:

• accept_runtime_arguments (bool | None)

• access_type (str | None)

• additional_properties (Dict[str, Any])

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

• description (str | None)

• ingestion_type (str | None)

• is_active (bool | None)

• is_enabled (bool | None)

• job_name (str | None)

• job_type (str | None)

• keywords (List[str] | None)

• priority (int | None)

• resource (str | None)

• resource_type (str | None)

• schedule_description (str | None)

• schedule_id (str | None)

• schedule_name (str | None)

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

• schedule_type (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 schedule_id: Optional[StrictStr] = None (alias 'ScheduleId')

field job_name: Optional[StrictStr] = None (alias 'JobName')

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

field schedule_type: Optional[StrictStr] = None (alias 'ScheduleType')

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

field job_type: Optional[StrictStr] = None (alias 'JobType')

field resource: Optional[StrictStr] = None (alias 'Resource')

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

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

field access_type: Optional[StrictStr] = None (alias 'AccessType')

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

field accept_runtime_arguments: Optional[StrictBool] = None (alias 'AcceptRuntimeArguments')

field ingestion_type: Optional[StrictStr] = None (alias 'IngestionType')

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

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

field resource_type: Optional[StrictStr] = None (alias 'ResourceType')

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

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

field is_active: Optional[StrictBool] = None (alias 'IsActive')

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

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

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 ScheduleGetResponse 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 ScheduleGetResponse from a dict

Return type:

Optional[Self]