cancel_practice_run async ¶

async def cancel_practice_run(
    self,
    zonal_shift_id: "capo_arc_zonal_shift.types.zonal_shift_id.ZonalShiftId",
    *,
    config_overrides: Optional[AsyncARCZonalShiftClientConfig] = None,
) -> "capo_arc_zonal_shift.types.cancel_practice_run_response.CancelPracticeRunResponse":
    """<p>Cancel an in-progress practice run zonal shift in Amazon Application Recovery Controller.</p>

    Args:
        zonal_shift_id: <p>The identifier of a practice run zonal shift in Amazon Application Recovery Controller that you want to cancel.</p>

    Raises:
        capo_arc_zonal_shift.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_arc_zonal_shift.errors.conflict_exception.ConflictException: <p>The request could not be processed because of conflict in the current state of the resource.</p>
        capo_arc_zonal_shift.errors.internal_server_exception.InternalServerException: <p>There was an internal server error.</p>
        capo_arc_zonal_shift.errors.resource_not_found_exception.ResourceNotFoundException: <p>The input requested a resource that was not found.</p>
        capo_arc_zonal_shift.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_arc_zonal_shift.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_arc_zonal_shift.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_arc_zonal_shift.types.cancel_practice_run_request.CancelPracticeRunRequest]",
    ) -> AsyncOperationResponse[
        "capo_arc_zonal_shift.types.cancel_practice_run_response.CancelPracticeRunResponse"
    ]:
        import capo_arc_zonal_shift._operations.perc_data_plane.cancel_practice_run

        (
            output,
            http_response,
        ) = await capo_arc_zonal_shift._operations.perc_data_plane.cancel_practice_run.async_cancel_practice_run(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CancelPracticeRun")
    )
    input_: capo_arc_zonal_shift.types.cancel_practice_run_request.CancelPracticeRunRequest = {
        "zonal_shift_id": zonal_shift_id
    }

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