CreateScheduleRequest

pydantic model openapi_client.models.create_schedule_request.CreateScheduleRequest

CreateScheduleRequest

Fields:

• actual_instance (openapi_client.models.datalab_schedule_create_input.DatalabScheduleCreateInput | openapi_client.models.schedule_job.ScheduleJob | None)

• one_of_schemas (Set[str])

• oneof_schema_1_validator (openapi_client.models.schedule_job.ScheduleJob | None)

• oneof_schema_2_validator (openapi_client.models.datalab_schedule_create_input.DatalabScheduleCreateInput | None)

field oneof_schema_1_validator: Optional[ScheduleJob] = None

field oneof_schema_2_validator: Optional[DatalabScheduleCreateInput] = None

field actual_instance: Optional[Union[DatalabScheduleCreateInput, ScheduleJob]] = None

field one_of_schemas: Set[str] = {'DatalabScheduleCreateInput', 'ScheduleJob'}

__init__(*args, **kwargs)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

classmethod from_dict(obj)

Return type:

Self

classmethod from_json(json_str)

Returns the object represented by the json string

Return type:

Self

to_json()

Returns the JSON representation of the actual instance

Return type:

str

to_dict()

Returns the dict representation of the actual instance

Return type:

Union[Dict[str, Any], DatalabScheduleCreateInput, ScheduleJob, None]

to_str()

Returns the string representation of the actual instance

Return type:

str