list_resource_endpoint_associations async ¶

async def list_resource_endpoint_associations(
    self,
    resource_configuration_identifier: "capo_vpc_lattice.types.resource_configuration_identifier.ResourceConfigurationIdentifier",
    *,
    config_overrides: Optional[AsyncVPCLatticeClientConfig] = None,
    resource_endpoint_association_identifier: Optional[
        "capo_vpc_lattice.types.resource_endpoint_association_identifier.ResourceEndpointAssociationIdentifier"
    ] = None,
    vpc_endpoint_id: Optional[
        "capo_vpc_lattice.types.vpc_endpoint_id.VpcEndpointId"
    ] = None,
    vpc_endpoint_owner: Optional[
        "capo_vpc_lattice.types.vpc_endpoint_owner.VpcEndpointOwner"
    ] = None,
    max_results: Optional["capo_vpc_lattice.types.max_results.MaxResults"] = None,
    next_token: Optional["capo_vpc_lattice.types.next_token.NextToken"] = None,
) -> "capo_vpc_lattice.types.list_resource_endpoint_associations_response.ListResourceEndpointAssociationsResponse":
    """<p>Lists the associations for the specified VPC endpoint.</p>

    Args:
        resource_configuration_identifier: <p>The ID for the resource configuration associated with the VPC endpoint.</p>
        resource_endpoint_association_identifier: <p>The ID of the association.</p>
        vpc_endpoint_id: <p>The ID of the VPC endpoint in the association.</p>
        vpc_endpoint_owner: <p>The owner of the VPC endpoint in the association.</p>
        max_results: <p>The maximum page size.</p>
        next_token: <p>A pagination token for the next page of results.</p>

    Raises:
        capo_vpc_lattice.errors.access_denied_exception.AccessDeniedException: <p>The user does not have sufficient access to perform this action.</p>
        capo_vpc_lattice.errors.internal_server_exception.InternalServerException: <p>An unexpected error occurred while processing the request.</p>
        capo_vpc_lattice.errors.throttling_exception.ThrottlingException: <p>The limit on the number of requests per second was exceeded.</p>
        capo_vpc_lattice.errors.validation_exception.ValidationException: <p>The input does not satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_vpc_lattice.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_vpc_lattice.types.list_resource_endpoint_associations_request.ListResourceEndpointAssociationsRequest]",
    ) -> AsyncOperationResponse[
        "capo_vpc_lattice.types.list_resource_endpoint_associations_response.ListResourceEndpointAssociationsResponse"
    ]:
        import capo_vpc_lattice._operations.mercury_control_plane.list_resource_endpoint_associations

        (
            output,
            http_response,
        ) = await capo_vpc_lattice._operations.mercury_control_plane.list_resource_endpoint_associations.async_list_resource_endpoint_associations(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListResourceEndpointAssociations")
    )
    input_: capo_vpc_lattice.types.list_resource_endpoint_associations_request.ListResourceEndpointAssociationsRequest = {
        "resource_configuration_identifier": resource_configuration_identifier
    }
    if resource_endpoint_association_identifier is not None:
        input_["resource_endpoint_association_identifier"] = (
            resource_endpoint_association_identifier
        )
    if vpc_endpoint_id is not None:
        input_["vpc_endpoint_id"] = vpc_endpoint_id
    if vpc_endpoint_owner is not None:
        input_["vpc_endpoint_owner"] = vpc_endpoint_owner
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output