DatalabScheduleListItem

pydantic model openapi_client.models.datalab_schedule_list_item.DatalabScheduleListItem

Notebook datalab schedule summary. On GET /schedules, the list handler also adds Resource (datalab id), ResourceType (datalab-notebook), AccessType, and LastModified.

Fields:

• access_type (str | None)

• is_active (bool)

• is_enabled (bool)

• last_modified (str | None)

• last_modified_at (str | None)

• last_modified_by (str | None)

• priority (int)

• resource (str | None)

• resource_name (str | None)

• resource_type (str | None)

• schedule_id (str)

• schedule_name (str)

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

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

• trigger (str | None)

• trigger_details (str | None)

field schedule_id: StrictStr [Required] (alias 'ScheduleId')

Constraints:

• strict = True

field schedule_name: StrictStr [Required] (alias 'ScheduleName')

Constraints:

• strict = True

field priority: StrictInt [Required] (alias 'Priority')

Derived from the datalab schedule priority list. Lower values indicate higher priority.

Constraints:

• strict = True

field is_enabled: StrictBool [Required] (alias 'IsEnabled')

Constraints:

• strict = True

field is_active: StrictBool [Required] (alias 'IsActive')

Constraints:

• strict = True

field last_modified_at: Optional[StrictStr] = None (alias 'LastModifiedAt')

field last_modified_by: Optional[StrictStr] = None (alias 'LastModifiedBy')

field last_modified: Optional[StrictStr] = None (alias 'LastModified')

Alias of LastModifiedAt used by GET /schedules default sorting.

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

Datalab id.

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

Type of resource the schedule belongs to, set when datalab schedules are included in the global GET /schedules response. Always datalab-notebook, since only notebook datalabs have schedules.

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

Caller access on the datalab.

field trigger: Optional[StrictStr] = None (alias 'Trigger')

Display-ready description of what fires a schedule - external triggers report the source, with the topic ARN in TriggerDetails - time schedules report the cron/rate expression verbatim - notebook schedules report the expression type of each configured half - one-time, daily, weekly or monthly

field trigger_details: Optional[StrictStr] = None (alias 'TriggerDetails')

Expanded details for Trigger. - External triggers show the full source ARN. - Notebook schedules show start/stop expressions in one line, joined by ·. - Others are null.

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

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

field resource_name: Optional[StrictStr] = None (alias 'ResourceName')

Display name of the datalab the schedule belongs to.

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 DatalabScheduleListItem 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 DatalabScheduleListItem from a dict

Return type:

Optional[Self]