Deletes a rescore execution plan. A rescore execution plan is an Amazon Kendra Intelligent Ranking resource used for provisioning the Rescore API.
Parameters:
Raises:
-
AccessDeniedException
–
You don’t have sufficient access to perform this action. Please ensure you have the required permission policies and user accounts and try again.
-
ConflictException
–
A conflict occurred with the request. Please fix any inconsistencies with your resources and try again.
-
InternalServerException
–
An issue occurred with the internal server used for your Amazon Kendra Intelligent Ranking service. Please wait a few minutes and try again, or contact Support for help.
-
ResourceNotFoundException
–
The resource you want to use doesn't exist. Please check you have provided the correct resource and try again.
-
ThrottlingException
–
The request was denied due to request throttling. Please reduce the number of requests and try again.
-
ValidationException
–
The input fails to satisfy the constraints set by the Amazon Kendra Intelligent Ranking service. Please provide the correct input and try again.
-
UnknownServiceError
–
The service returned an error code this client does not model.
Source code in docs_src/capo_kendra_ranking/_services/async_kendra_ranking.py
| async def delete_rescore_execution_plan(
self,
id: "capo_kendra_ranking.types.rescore_execution_plan_id.RescoreExecutionPlanId",
*,
config_overrides: Optional[AsyncKendraRankingClientConfig] = None,
) -> None:
"""<p>Deletes a rescore execution plan. A rescore execution plan is an Amazon Kendra Intelligent Ranking resource used for provisioning the <code>Rescore</code> API.</p>
Args:
id: <p>The identifier of the rescore execution plan that you want to delete.</p>
Raises:
capo_kendra_ranking.errors.access_denied_exception.AccessDeniedException: <p>You don’t have sufficient access to perform this action. Please ensure you have the required permission policies and user accounts and try again.</p>
capo_kendra_ranking.errors.conflict_exception.ConflictException: <p>A conflict occurred with the request. Please fix any inconsistencies with your resources and try again.</p>
capo_kendra_ranking.errors.internal_server_exception.InternalServerException: <p>An issue occurred with the internal server used for your Amazon Kendra Intelligent Ranking service. Please wait a few minutes and try again, or contact <a href="http://aws.amazon.com/contact-us/">Support</a> for help.</p>
capo_kendra_ranking.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource you want to use doesn't exist. Please check you have provided the correct resource and try again.</p>
capo_kendra_ranking.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling. Please reduce the number of requests and try again.</p>
capo_kendra_ranking.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints set by the Amazon Kendra Intelligent Ranking service. Please provide the correct input and try again.</p>
capo_kendra_ranking.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_kendra_ranking.types.delete_rescore_execution_plan_request.DeleteRescoreExecutionPlanRequest]",
) -> AsyncOperationResponse[None]:
import capo_kendra_ranking._operations.aws_kendra_reranking_frontend_service.delete_rescore_execution_plan
(
output,
http_response,
) = await capo_kendra_ranking._operations.aws_kendra_reranking_frontend_service.delete_rescore_execution_plan.async_delete_rescore_execution_plan(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteRescoreExecutionPlan")
)
input_: capo_kendra_ranking.types.delete_rescore_execution_plan_request.DeleteRescoreExecutionPlanRequest = {
"id": id
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|