describe_lifecycle_hooks `async` ¶

describe_lifecycle_hooks(
    *,
    config_overrides: Optional[AsyncAutoScalingClientConfig] = None,
    auto_scaling_group_name: Optional[XmlStringMaxLen255] = None,
    lifecycle_hook_names: Optional[LifecycleHookNames] = None,
) -> DescribeLifecycleHooksAnswer

Gets information about the lifecycle hooks for the specified Auto Scaling group.

Parameters:

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

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

The names of one or more lifecycle hooks. If you omit this property, all lifecycle hooks are described.

Raises:

ResourceContentionFault –

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

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

Examples:

To describe your lifecycle hooks This example describes the lifecycle hooks for the specified Auto Scaling group.

>>> await client.describe_lifecycle_hooks(auto_scaling_group_name='my-auto-scaling-group')

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

async def describe_lifecycle_hooks(
    self,
    *,
    config_overrides: Optional[AsyncAutoScalingClientConfig] = None,
    auto_scaling_group_name: Optional[
        "capo_auto_scaling.types.xml_string_max_len255.XmlStringMaxLen255"
    ] = None,
    lifecycle_hook_names: Optional[
        "capo_auto_scaling.types.lifecycle_hook_names.LifecycleHookNames"
    ] = None,
) -> "capo_auto_scaling.types.describe_lifecycle_hooks_answer.DescribeLifecycleHooksAnswer":
    """<p>Gets information about the lifecycle hooks for the specified Auto Scaling group.</p>

    Args:
        auto_scaling_group_name: <p>The name of the Auto Scaling group.</p>
        lifecycle_hook_names: <p>The names of one or more lifecycle hooks. If you omit this property, all lifecycle hooks are described.</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.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To describe your lifecycle hooks
        This example describes the lifecycle hooks for the specified Auto Scaling group.

        >>> await client.describe_lifecycle_hooks(auto_scaling_group_name='my-auto-scaling-group')
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_auto_scaling.types.describe_lifecycle_hooks_type.DescribeLifecycleHooksType]",
    ) -> AsyncOperationResponse[
        "capo_auto_scaling.types.describe_lifecycle_hooks_answer.DescribeLifecycleHooksAnswer"
    ]:
        import capo_auto_scaling._operations.auto_scaling_2011_01_01.describe_lifecycle_hooks

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeLifecycleHooks")
    )
    input_: capo_auto_scaling.types.describe_lifecycle_hooks_type.DescribeLifecycleHooksType = {}
    if auto_scaling_group_name is not None:
        input_["auto_scaling_group_name"] = auto_scaling_group_name
    if lifecycle_hook_names is not None:
        input_["lifecycle_hook_names"] = lifecycle_hook_names

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

describe_lifecycle_hooks async ¶

describe_lifecycle_hooks `async` ¶