Returns vector bucket attributes. To specify the bucket, you must use either the vector bucket name or the vector bucket Amazon Resource Name (ARN).
- Permissions
-
You must have the s3vectors:GetVectorBucket permission to use this operation.
Parameters:
-
vector_bucket_name
(Optional[VectorBucketName], default:
None
)
–
The name of the vector bucket to retrieve information about.
-
vector_bucket_arn
(Optional[VectorBucketArn], default:
None
)
–
The ARN of the vector bucket to retrieve information about.
Raises:
Source code in docs_src/capo_s3vectors/_services/async_s3_vectors.py
| async def get_vector_bucket(
self,
*,
config_overrides: Optional[AsyncS3VectorsClientConfig] = None,
vector_bucket_name: Optional[
"capo_s3vectors.types.vector_bucket_name.VectorBucketName"
] = None,
vector_bucket_arn: Optional[
"capo_s3vectors.types.vector_bucket_arn.VectorBucketArn"
] = None,
) -> "capo_s3vectors.types.get_vector_bucket_output.GetVectorBucketOutput":
"""<p>Returns vector bucket attributes. To specify the bucket, you must use either the vector bucket name or the vector bucket Amazon Resource Name (ARN). </p> <dl> <dt>Permissions</dt> <dd> <p>You must have the <code>s3vectors:GetVectorBucket</code> permission to use this operation. </p> </dd> </dl>
Args:
vector_bucket_name: <p>The name of the vector bucket to retrieve information about.</p>
vector_bucket_arn: <p>The ARN of the vector bucket to retrieve information about.</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.
"""
async def _handler(
req: "AsyncOperationRequest[capo_s3vectors.types.get_vector_bucket_input.GetVectorBucketInput]",
) -> AsyncOperationResponse[
"capo_s3vectors.types.get_vector_bucket_output.GetVectorBucketOutput"
]:
import capo_s3vectors._operations.s3_vectors.get_vector_bucket
(
output,
http_response,
) = await capo_s3vectors._operations.s3_vectors.get_vector_bucket.async_get_vector_bucket(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetVectorBucket")
)
input_: capo_s3vectors.types.get_vector_bucket_input.GetVectorBucketInput = {}
if vector_bucket_name is not None:
input_["vector_bucket_name"] = vector_bucket_name
if vector_bucket_arn is not None:
input_["vector_bucket_arn"] = vector_bucket_arn
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|