Source code for aws_stepfunction.actions.aws_batch

# -*- coding: utf-8 -*-

"""

"""

import typing as T
from .base import TaskResource, TaskMaker, Task, _resolve_resource_arn


[docs]def batch_submit_job( job_name: str, job_definition: str, job_queue: str, id: T.Optional[str] = None, aws_account_id: T.Optional[str] = None, aws_region: T.Optional[str] = None, ) -> 'Task': """ """ task_maker = TaskMaker( id=id, resource=TaskResource.batch_submit_job, parameters={ "JobName": job_name, "JobDefinition": _resolve_resource_arn( resource_name=job_definition, resource_type="batch", path="job-definition/", aws_account_id=aws_account_id, aws_region=aws_region, ), "JobQueue": _resolve_resource_arn( resource_name=job_queue, resource_type="batch", path="job-queue/", aws_account_id=aws_account_id, aws_region=aws_region, ), }, ) return task_maker.make()
[docs]def batch_cancel_job( job_id: str, reason: str, wait_for_call_back: T.Optional[bool] = False, id: T.Optional[str] = None, ) -> 'Task': """ """ if wait_for_call_back is True: resource = TaskResource.batch_cancel_job_wait_for_callback else: resource = TaskResource.batch_cancel_job task_maker = TaskMaker( id=id, resource=resource, output_path="$.Payload", parameters={ "JobId": job_id, "Reason": reason, }, ) return task_maker.make()
[docs]def batch_terminate_job( job_id: str, reason: str, wait_for_call_back: T.Optional[bool] = False, id: T.Optional[str] = None, ) -> 'Task': """ """ if wait_for_call_back is True: resource = TaskResource.batch_terminate_job_wait_for_callback else: resource = TaskResource.batch_terminate_job task_maker = TaskMaker( id=id, resource=resource, output_path="$.Payload", parameters={ "JobId": job_id, "Reason": reason, }, ) return task_maker.make()