ScheduledJobStatus

class openapi_client.models.scheduled_job_status.ScheduledJobStatus(**data)[source]

Bases: BaseModel

schedule_id: StrictStr
job_name: StrictStr
description: Optional[StrictStr]
created_by: Optional[StrictStr]
creation_time: Optional[StrictStr]
last_modified: Optional[StrictStr]
state: Optional[StrictStr]
target_dataset_id: Optional[StrictStr]
access_type: Optional[StrictStr]
schedule_type: StrictStr
schedule_param: ScheduleParam
job_type: StrictStr
resource: StrictStr
arguments: List[ScheduledJobArgument]
ingestion_type: Optional[StrictStr]
accept_runtime_arguments: Optional[StrictBool]
keywords: Optional[List[StrictStr]]
classmethod schedule_type_validate_enum(value)[source]

Validates the enum

classmethod job_type_validate_enum(value)[source]

Validates the enum

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

to_str()[source]

Returns the string representation of the model using alias

Return type:

str

to_json()[source]

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)[source]

Create an instance of ScheduledJobStatus from a JSON string

Return type:

Optional[Self]

to_dict()[source]

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)[source]

Create an instance of ScheduledJobStatus from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'accept_runtime_arguments': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='AcceptRuntimeArguments', alias_priority=2), 'access_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='AccessType', alias_priority=2), 'arguments': FieldInfo(annotation=List[ScheduledJobArgument], required=True, alias='Arguments', alias_priority=2), 'created_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreatedBy', alias_priority=2), 'creation_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreationTime', alias_priority=2), 'description': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Description', alias_priority=2), 'ingestion_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='IngestionType', alias_priority=2), 'job_name': FieldInfo(annotation=str, required=True, alias='JobName', alias_priority=2, metadata=[Strict(strict=True)]), 'job_type': FieldInfo(annotation=str, required=True, alias='JobType', alias_priority=2, metadata=[Strict(strict=True)]), 'keywords': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='Keywords', alias_priority=2), 'last_modified': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModified', alias_priority=2), 'resource': FieldInfo(annotation=str, required=True, alias='Resource', alias_priority=2, metadata=[Strict(strict=True)]), 'schedule_id': FieldInfo(annotation=str, required=True, alias='ScheduleId', alias_priority=2, metadata=[Strict(strict=True)]), 'schedule_param': FieldInfo(annotation=ScheduleParam, required=True, alias='ScheduleParam', alias_priority=2), 'schedule_type': FieldInfo(annotation=str, required=True, alias='ScheduleType', alias_priority=2, metadata=[Strict(strict=True)]), 'state': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='State', alias_priority=2), 'target_dataset_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='TargetDatasetId', alias_priority=2)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:
  • self (BaseModel) – The BaseModel instance.

  • __context (Any) – The context.

Return type:

None