set_desired_capacity async ¶

async def set_desired_capacity(
    self,
    *,
    config_overrides: Optional[AsyncAutoScalingClientConfig] = None,
    auto_scaling_group_name: Optional[
        "capo_auto_scaling.types.xml_string_max_len255.XmlStringMaxLen255"
    ] = None,
    desired_capacity: Optional[
        "capo_auto_scaling.types.auto_scaling_group_desired_capacity.AutoScalingGroupDesiredCapacity"
    ] = None,
    honor_cooldown: Optional[
        "capo_auto_scaling.types.honor_cooldown.HonorCooldown"
    ] = None,
) -> None:
    """<p>Sets the size of the specified Auto Scaling group.</p> <p>If a scale-in activity occurs as a result of a new <code>DesiredCapacity</code> value that is lower than the current size of the group, the Auto Scaling group uses its termination policy to determine which instances to terminate. </p> <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/ec2-auto-scaling-scaling-manually.html">Manual scaling</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.</p>

    Args:
        auto_scaling_group_name: <p>The name of the Auto Scaling group.</p>
        desired_capacity: <p>The desired capacity is the initial capacity of the Auto Scaling group after this operation completes and the capacity it attempts to maintain.</p>
        honor_cooldown: <p>Indicates whether Amazon EC2 Auto Scaling waits for the cooldown period to complete before initiating a scaling activity to set your Auto Scaling group to its new capacity. By default, Amazon EC2 Auto Scaling does not honor the cooldown period during manual scaling activities.</p>

    Raises:
        capo_auto_scaling.errors.resource_contention_fault.ResourceContentionFault: <p>You already have a pending update to an Amazon EC2 Auto Scaling resource (for example, an Auto Scaling group, instance, or load balancer).</p>
        capo_auto_scaling.errors.scaling_activity_in_progress_fault.ScalingActivityInProgressFault: <p>The operation can't be performed because there are scaling activities in progress.</p>
        capo_auto_scaling.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To set the desired capacity for an Auto Scaling group
        This example sets the desired capacity for the specified Auto Scaling group.

        >>> await client.set_desired_capacity(auto_scaling_group_name='my-auto-scaling-group', desired_capacity=2, honor_cooldown=True)
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_auto_scaling.types.set_desired_capacity_type.SetDesiredCapacityType]",
    ) -> AsyncOperationResponse[None]:
        import capo_auto_scaling._operations.auto_scaling_2011_01_01.set_desired_capacity

        (
            output,
            http_response,
        ) = await capo_auto_scaling._operations.auto_scaling_2011_01_01.set_desired_capacity.async_set_desired_capacity(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("SetDesiredCapacity")
    )
    input_: capo_auto_scaling.types.set_desired_capacity_type.SetDesiredCapacityType = {}
    if auto_scaling_group_name is not None:
        input_["auto_scaling_group_name"] = auto_scaling_group_name
    if desired_capacity is not None:
        input_["desired_capacity"] = desired_capacity
    if honor_cooldown is not None:
        input_["honor_cooldown"] = honor_cooldown

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