delete_warm_pool ¶

delete_warm_pool(
    *,
    config_overrides: Optional[AutoScalingClientConfig] = None,
    auto_scaling_group_name: Optional[XmlStringMaxLen255] = None,
    force_delete: Optional[ForceDelete] = None,
) -> DeleteWarmPoolAnswer

Deletes the warm pool for the specified Auto Scaling group.

For more information, see Warm pools for Amazon EC2 Auto Scaling in the Amazon EC2 Auto Scaling User Guide.

Parameters:

auto_scaling_group_name (Optional[XmlStringMaxLen255], default: None ) –

The name of the Auto Scaling group.
force_delete (Optional[ForceDelete], default: None ) –

Specifies that the warm pool is to be deleted along with all of its associated instances, without waiting for all instances to be terminated. This parameter also deletes any outstanding lifecycle actions associated with the warm pool instances.

Raises:

LimitExceededFault –

You have already reached a limit for your Amazon EC2 Auto Scaling resources (for example, Auto Scaling groups, launch configurations, or lifecycle hooks). For more information, see DescribeAccountLimits in the Amazon EC2 Auto Scaling API Reference.
ResourceContentionFault –

You already have a pending update to an Amazon EC2 Auto Scaling resource (for example, an Auto Scaling group, instance, or load balancer).
ResourceInUseFault –

The operation can't be performed because the resource is in use.
ScalingActivityInProgressFault –

The operation can't be performed because there are scaling activities in progress.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_auto_scaling/_services/auto_scaling.py

def delete_warm_pool(
    self,
    *,
    config_overrides: Optional[AutoScalingClientConfig] = None,
    auto_scaling_group_name: Optional[
        "capo_auto_scaling.types.xml_string_max_len255.XmlStringMaxLen255"
    ] = None,
    force_delete: Optional[
        "capo_auto_scaling.types.force_delete.ForceDelete"
    ] = None,
) -> "capo_auto_scaling.types.delete_warm_pool_answer.DeleteWarmPoolAnswer":
    """<p>Deletes the warm pool for the specified Auto Scaling group.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/ec2-auto-scaling-warm-pools.html">Warm pools for Amazon EC2 Auto 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>
        force_delete: <p>Specifies that the warm pool is to be deleted along with all of its associated instances, without waiting for all instances to be terminated. This parameter also deletes any outstanding lifecycle actions associated with the warm pool instances.</p>

    Raises:
        capo_auto_scaling.errors.limit_exceeded_fault.LimitExceededFault: <p>You have already reached a limit for your Amazon EC2 Auto Scaling resources (for example, Auto Scaling groups, launch configurations, or lifecycle hooks). For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/APIReference/API_DescribeAccountLimits.html">DescribeAccountLimits</a> in the <i>Amazon EC2 Auto Scaling API Reference</i>.</p>
        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.resource_in_use_fault.ResourceInUseFault: <p>The operation can't be performed because the resource is in use.</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.
    """

    def _handler(
        req: "OperationRequest[capo_auto_scaling.types.delete_warm_pool_type.DeleteWarmPoolType]",
    ) -> OperationResponse[
        "capo_auto_scaling.types.delete_warm_pool_answer.DeleteWarmPoolAnswer"
    ]:
        import capo_auto_scaling._operations.auto_scaling_2011_01_01.delete_warm_pool

        output, http_response = (
            capo_auto_scaling._operations.auto_scaling_2011_01_01.delete_warm_pool.delete_warm_pool(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteWarmPool")
    )
    input_: capo_auto_scaling.types.delete_warm_pool_type.DeleteWarmPoolType = {}
    if auto_scaling_group_name is not None:
        input_["auto_scaling_group_name"] = auto_scaling_group_name
    if force_delete is not None:
        input_["force_delete"] = force_delete

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