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describe_metric_collection_types async

describe_metric_collection_types(
    *, config_overrides: Optional[AsyncAutoScalingClientConfig] = None
) -> DescribeMetricCollectionTypesAnswer

Describes the available CloudWatch metrics for Amazon EC2 Auto Scaling.

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 the Auto Scaling metric collection types This example describes the available metric collection types.

>>> await client.describe_metric_collection_types()
Source code in docs_src/capo_auto_scaling/_services/async_auto_scaling.py
async def describe_metric_collection_types(
    self, *, config_overrides: Optional[AsyncAutoScalingClientConfig] = None
) -> "capo_auto_scaling.types.describe_metric_collection_types_answer.DescribeMetricCollectionTypesAnswer":
    """<p>Describes the available CloudWatch metrics for Amazon EC2 Auto Scaling.</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 the Auto Scaling metric collection types
        This example describes the available metric collection types.

        >>> await client.describe_metric_collection_types()
    """

    async def _handler(
        req: "AsyncOperationRequest[None]",
    ) -> AsyncOperationResponse[
        "capo_auto_scaling.types.describe_metric_collection_types_answer.DescribeMetricCollectionTypesAnswer"
    ]:
        import capo_auto_scaling._operations.auto_scaling_2011_01_01.describe_metric_collection_types

        (
            output,
            http_response,
        ) = await capo_auto_scaling._operations.auto_scaling_2011_01_01.describe_metric_collection_types.async_describe_metric_collection_types(
            req.options
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeMetricCollectionTypes")
    )

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=None, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output