def cancel_bundle_task(
self,
*,
config_overrides: Optional[EC2ClientConfig] = None,
bundle_id: Optional["capo_ec2.types.bundle_id.BundleId"] = None,
dry_run: Optional["capo_ec2.types.boolean.Boolean"] = None,
) -> "capo_ec2.types.cancel_bundle_task_result.CancelBundleTaskResult":
"""<p>Cancels a bundling operation for an instance store-backed Windows instance.</p> <note> <p>CancelBundleTask is no longer supported because <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/API_BundleInstance.html">BundleInstance</a>, the operation it cancels, is no longer supported.</p> </note>
Args:
bundle_id: <p>The ID of the bundle task.</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.cancel_bundle_task_request.CancelBundleTaskRequest]",
) -> OperationResponse[
"capo_ec2.types.cancel_bundle_task_result.CancelBundleTaskResult"
]:
import capo_ec2._operations.amazon_ec2.cancel_bundle_task
output, http_response = (
capo_ec2._operations.amazon_ec2.cancel_bundle_task.cancel_bundle_task(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_ec2.types.cancel_bundle_task_result.CancelBundleTaskResult",
) -> dict[str, Any]:
import capo_ec2.types.cancel_bundle_task_result
return capo_ec2.types.cancel_bundle_task_result.redact_sensitive(output)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("CancelBundleTask", redact_output=_redact_output),
)
input_: capo_ec2.types.cancel_bundle_task_request.CancelBundleTaskRequest = {}
if bundle_id is not None:
input_["bundle_id"] = bundle_id
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