async def describe_index(
self,
id: "capo_kendra.types.index_id.IndexId",
*,
config_overrides: Optional[AsynckendraClientConfig] = None,
) -> "capo_kendra.types.describe_index_response.DescribeIndexResponse":
"""<p>Gets information about an Amazon Kendra index.</p>
Args:
id: <p>The identifier of the index you want to get information on.</p>
Raises:
capo_kendra.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.errors.internal_server_exception.InternalServerException: <p>An issue occurred with the internal server used for your Amazon Kendra 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.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.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.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints set by the Amazon Kendra service. Please provide the correct input and try again.</p>
capo_kendra.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_kendra.types.describe_index_request.DescribeIndexRequest]",
) -> AsyncOperationResponse[
"capo_kendra.types.describe_index_response.DescribeIndexResponse"
]:
import capo_kendra._operations.aws_kendra_frontend_service.describe_index
(
output,
http_response,
) = await capo_kendra._operations.aws_kendra_frontend_service.describe_index.async_describe_index(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_kendra.types.describe_index_response.DescribeIndexResponse",
) -> dict[str, Any]:
import capo_kendra.types.describe_index_response
return capo_kendra.types.describe_index_response.redact_sensitive(output)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("DescribeIndex", redact_output=_redact_output),
)
input_: capo_kendra.types.describe_index_request.DescribeIndexRequest = {
"id": id
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output