get_instance_metadata_defaults ¶

def get_instance_metadata_defaults(
    self,
    *,
    config_overrides: Optional[EC2ClientConfig] = None,
    dry_run: Optional["capo_ec2.types.boolean.Boolean"] = None,
) -> "capo_ec2.types.get_instance_metadata_defaults_result.GetInstanceMetadataDefaultsResult":
    """<p>Gets the default instance metadata service (IMDS) settings that are set at the account level in the specified Amazon Web Services Region.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/configuring-instance-metadata-options.html#instance-metadata-options-order-of-precedence">Order of precedence for instance metadata options</a> in the <i>Amazon EC2 User Guide</i>.</p>

    Args:
        dry_run: <p>Checks whether you have the required permissions for the operation, without actually making the request, and provides an error response. If you have the required permissions, the error response is <code>DryRunOperation</code>. Otherwise, it is <code>UnauthorizedOperation</code>.</p>

    Raises:
        capo_ec2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_ec2.types.get_instance_metadata_defaults_request.GetInstanceMetadataDefaultsRequest]",
    ) -> OperationResponse[
        "capo_ec2.types.get_instance_metadata_defaults_result.GetInstanceMetadataDefaultsResult"
    ]:
        import capo_ec2._operations.amazon_ec2.get_instance_metadata_defaults

        output, http_response = (
            capo_ec2._operations.amazon_ec2.get_instance_metadata_defaults.get_instance_metadata_defaults(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetInstanceMetadataDefaults")
    )
    input_: capo_ec2.types.get_instance_metadata_defaults_request.GetInstanceMetadataDefaultsRequest = {}
    if dry_run is not None:
        input_["dry_run"] = dry_run

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output