Returns vector index attributes. To specify the vector index, you can either use both the vector bucket name and the vector index name, or use the vector index Amazon Resource Name (ARN).
- Permissions
-
You must have the s3vectors:GetIndex permission to use this operation.
Parameters:
-
vector_bucket_name
(Optional[VectorBucketName], default:
None
)
–
The name of the vector bucket that contains the vector index.
-
index_name
(Optional[IndexName], default:
None
)
–
The name of the vector index.
-
index_arn
(Optional[IndexArn], default:
None
)
–
The ARN of the vector index.
Raises:
Source code in docs_src/capo_s3vectors/_services/s3_vectors.py
| def get_index(
self,
*,
config_overrides: Optional[S3VectorsClientConfig] = None,
vector_bucket_name: Optional[
"capo_s3vectors.types.vector_bucket_name.VectorBucketName"
] = None,
index_name: Optional["capo_s3vectors.types.index_name.IndexName"] = None,
index_arn: Optional["capo_s3vectors.types.index_arn.IndexArn"] = None,
) -> "capo_s3vectors.types.get_index_output.GetIndexOutput":
"""<p>Returns vector index attributes. To specify the vector index, you can either use both the vector bucket name and the vector index name, or use the vector index Amazon Resource Name (ARN). </p> <dl> <dt>Permissions</dt> <dd> <p>You must have the <code>s3vectors:GetIndex</code> permission to use this operation. </p> </dd> </dl>
Args:
vector_bucket_name: <p>The name of the vector bucket that contains the vector index. </p>
index_name: <p>The name of the vector index.</p>
index_arn: <p>The ARN of the vector index.</p>
Raises:
capo_s3vectors.errors.access_denied_exception.AccessDeniedException: <p>Access denied.</p>
capo_s3vectors.errors.internal_server_exception.InternalServerException: <p>The request failed due to an internal server error.</p>
capo_s3vectors.errors.request_timeout_exception.RequestTimeoutException: <p>The request timed out. Retry your request.</p>
capo_s3vectors.errors.too_many_requests_exception.TooManyRequestsException: <p>The request was denied due to request throttling.</p>
capo_s3vectors.errors.validation_exception.ValidationException: <p>The requested action isn't valid.</p>
capo_s3vectors.errors.not_found_exception.NotFoundException: <p>The request was rejected because the specified resource can't be found.</p>
capo_s3vectors.errors.service_unavailable_exception.ServiceUnavailableException: <p>The service is unavailable. Wait briefly and retry your request. If it continues to fail, increase your waiting time between retries.</p>
capo_s3vectors.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_s3vectors.types.get_index_input.GetIndexInput]",
) -> OperationResponse["capo_s3vectors.types.get_index_output.GetIndexOutput"]:
import capo_s3vectors._operations.s3_vectors.get_index
output, http_response = (
capo_s3vectors._operations.s3_vectors.get_index.get_index(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetIndex")
)
input_: capo_s3vectors.types.get_index_input.GetIndexInput = {}
if vector_bucket_name is not None:
input_["vector_bucket_name"] = vector_bucket_name
if index_name is not None:
input_["index_name"] = index_name
if index_arn is not None:
input_["index_arn"] = index_arn
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|