describe_launch_configurations `async` ¶

describe_launch_configurations(
    *,
    config_overrides: Optional[AsyncAutoScalingClientConfig] = None,
    launch_configuration_names: Optional[LaunchConfigurationNames] = None,
    next_token: Optional[XmlString] = None,
    max_records: Optional[MaxRecords] = None,
) -> LaunchConfigurationsType

Gets information about the launch configurations in the account and Region.

Parameters:

launch_configuration_names (Optional[LaunchConfigurationNames], default: None ) –

The launch configuration names. If you omit this property, all launch configurations are described.

Array Members: Maximum number of 50 items.
next_token (Optional[XmlString], default: None ) –

The token for the next set of items to return. (You received this token from a previous call.)
max_records (Optional[MaxRecords], default: None ) –

The maximum number of items to return with this call. The default value is 50 and the maximum value is 100.

Raises:

InvalidNextToken –

The NextToken value is not valid.
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 Auto Scaling launch configurations This example describes the specified launch configuration.

>>> await client.describe_launch_configurations(launch_configuration_names=['my-launch-config'])

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

async def describe_launch_configurations(
    self,
    *,
    config_overrides: Optional[AsyncAutoScalingClientConfig] = None,
    launch_configuration_names: Optional[
        "capo_auto_scaling.types.launch_configuration_names.LaunchConfigurationNames"
    ] = None,
    next_token: Optional["capo_auto_scaling.types.xml_string.XmlString"] = None,
    max_records: Optional["capo_auto_scaling.types.max_records.MaxRecords"] = None,
) -> "capo_auto_scaling.types.launch_configurations_type.LaunchConfigurationsType":
    """<p>Gets information about the launch configurations in the account and Region.</p>

    Args:
        launch_configuration_names: <p>The launch configuration names. If you omit this property, all launch configurations are described.</p> <p>Array Members: Maximum number of 50 items.</p>
        next_token: <p>The token for the next set of items to return. (You received this token from a previous call.)</p>
        max_records: <p>The maximum number of items to return with this call. The default value is <code>50</code> and the maximum value is <code>100</code>.</p>

    Raises:
        capo_auto_scaling.errors.invalid_next_token.InvalidNextToken: <p>The <code>NextToken</code> value is not valid.</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.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To describe Auto Scaling launch configurations
        This example describes the specified launch configuration.

        >>> await client.describe_launch_configurations(launch_configuration_names=['my-launch-config'])
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_auto_scaling.types.launch_configuration_names_type.LaunchConfigurationNamesType]",
    ) -> AsyncOperationResponse[
        "capo_auto_scaling.types.launch_configurations_type.LaunchConfigurationsType"
    ]:
        import capo_auto_scaling._operations.auto_scaling_2011_01_01.describe_launch_configurations

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeLaunchConfigurations")
    )
    input_: capo_auto_scaling.types.launch_configuration_names_type.LaunchConfigurationNamesType = {}
    if launch_configuration_names is not None:
        input_["launch_configuration_names"] = launch_configuration_names
    if next_token is not None:
        input_["next_token"] = next_token
    if max_records is not None:
        input_["max_records"] = max_records

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

describe_launch_configurations async ¶

describe_launch_configurations `async` ¶