list_layers async ¶

async def list_layers(
    self,
    *,
    config_overrides: Optional[AsyncLambdaClientConfig] = None,
    compatible_architecture: Optional[
        "capo_lambda.types.architecture.Architecture"
    ] = None,
    compatible_runtime: Optional["capo_lambda.types.runtime.Runtime"] = None,
    marker: Optional["capo_lambda.types.string.String"] = None,
    max_items: Optional[
        "capo_lambda.types.max_layer_list_items.MaxLayerListItems"
    ] = None,
) -> "capo_lambda.types.list_layers_response.ListLayersResponse":
    """<p>Lists <a href="https://docs.aws.amazon.com/lambda/latest/dg/invocation-layers.html">Lambda layers</a> and shows information about the latest version of each. Specify a <a href="https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html">runtime identifier</a> to list only layers that indicate that they're compatible with that runtime. Specify a compatible architecture to include only layers that are compatible with that <a href="https://docs.aws.amazon.com/lambda/latest/dg/foundation-arch.html">instruction set architecture</a>.</p>

    Args:
        compatible_architecture: <p>The compatible <a href="https://docs.aws.amazon.com/lambda/latest/dg/foundation-arch.html">instruction set architecture</a>.</p>
        compatible_runtime: <p>A runtime identifier.</p> <p>The following list includes deprecated runtimes. For more information, see <a href="https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html#runtime-deprecation-levels">Runtime use after deprecation</a>.</p> <p>For a list of all currently supported runtimes, see <a href="https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html#runtimes-supported">Supported runtimes</a>.</p>
        marker: <p>A pagination token returned by a previous call.</p>
        max_items: <p>The maximum number of layers to return.</p>

    Raises:
        capo_lambda.errors.invalid_parameter_value_exception.InvalidParameterValueException: <p>One of the parameters in the request is not valid.</p>
        capo_lambda.errors.service_exception.ServiceException: <p>The Lambda service encountered an internal error.</p>
        capo_lambda.errors.too_many_requests_exception.TooManyRequestsException: <p>The request throughput limit was exceeded. For more information, see <a href="https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html#api-requests">Lambda quotas</a>.</p>
        capo_lambda.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To list the layers that are compatible with your function's runtime
        The following example returns information about layers that are compatible with the Python 3.7 runtime.

        >>> await client.list_layers(compatible_runtime='python3.7')
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_lambda.types.list_layers_request.ListLayersRequest]",
    ) -> AsyncOperationResponse[
        "capo_lambda.types.list_layers_response.ListLayersResponse"
    ]:
        import capo_lambda._operations.aws_gir_api_service.list_layers

        (
            output,
            http_response,
        ) = await capo_lambda._operations.aws_gir_api_service.list_layers.async_list_layers(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListLayers")
    )
    input_: capo_lambda.types.list_layers_request.ListLayersRequest = {}
    if compatible_architecture is not None:
        input_["compatible_architecture"] = compatible_architecture
    if compatible_runtime is not None:
        input_["compatible_runtime"] = compatible_runtime
    if marker is not None:
        input_["marker"] = marker
    if max_items is not None:
        input_["max_items"] = max_items

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