bundle_instance ¶

def bundle_instance(
    self,
    *,
    config_overrides: Optional[EC2ClientConfig] = None,
    instance_id: Optional["capo_ec2.types.instance_id.InstanceId"] = None,
    storage: Optional["capo_ec2.types.storage.Storage"] = None,
    dry_run: Optional["capo_ec2.types.boolean.Boolean"] = None,
) -> "capo_ec2.types.bundle_instance_result.BundleInstanceResult":
    r"""<p>Bundles an Amazon instance store-backed Windows instance.</p> <p>During bundling, only the root device volume (C:\) is bundled. Data on other instance store volumes is not preserved.</p> <note> <p>BundleInstance is no longer supported. To create an AMI, use <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/API_CreateImage.html">CreateImage</a> instead. For more information about creating an Amazon EBS-backed AMI, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/creating-an-ami-ebs.html"> Create an Amazon EBS-backed AMI</a> in the <i>Amazon EC2 User Guide</i>.</p> </note>

    Args:
        instance_id: <p>The ID of the instance to bundle.</p> <p>Default: None</p>
        storage: <p>The bucket in which to store the AMI. You can specify a bucket that you already own or a new bucket that Amazon EC2 creates on your behalf. If you specify a bucket that belongs to someone else, Amazon EC2 returns an error.</p>
        dry_run: <p>Checks whether you have the required permissions for the action, 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.bundle_instance_request.BundleInstanceRequest]",
    ) -> OperationResponse[
        "capo_ec2.types.bundle_instance_result.BundleInstanceResult"
    ]:
        import capo_ec2._operations.amazon_ec2.bundle_instance

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

    def _redact_input(
        input_: "capo_ec2.types.bundle_instance_request.BundleInstanceRequest",
    ) -> dict[str, Any]:
        import capo_ec2.types.bundle_instance_request

        return capo_ec2.types.bundle_instance_request.redact_sensitive(input_)

    def _redact_output(
        output: "capo_ec2.types.bundle_instance_result.BundleInstanceResult",
    ) -> dict[str, Any]:
        import capo_ec2.types.bundle_instance_result

        return capo_ec2.types.bundle_instance_result.redact_sensitive(output)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "BundleInstance",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_ec2.types.bundle_instance_request.BundleInstanceRequest = {}
    if instance_id is not None:
        input_["instance_id"] = instance_id
    if storage is not None:
        input_["storage"] = storage
    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