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list_function_versions_by_capacity_provider

list_function_versions_by_capacity_provider(
    capacity_provider_name: CapacityProviderName,
    *,
    config_overrides: Optional[LambdaClientConfig] = None,
    marker: Optional[String] = None,
    max_items: Optional[MaxFiftyListItems] = None,
) -> ListFunctionVersionsByCapacityProviderResponse

Returns a list of function versions that are configured to use a specific capacity provider.

Parameters:

  • capacity_provider_name (CapacityProviderName) –

    The name of the capacity provider to list function versions for.

  • marker (Optional[String], default: None ) –

    Specify the pagination token that's returned by a previous request to retrieve the next page of results.

  • max_items (Optional[MaxFiftyListItems], default: None ) –

    The maximum number of function versions to return in the response.

Raises:

Source code in docs_src/capo_lambda/_services/_lambda.py
def list_function_versions_by_capacity_provider(
    self,
    capacity_provider_name: "capo_lambda.types.capacity_provider_name.CapacityProviderName",
    *,
    config_overrides: Optional[LambdaClientConfig] = None,
    marker: Optional["capo_lambda.types.string.String"] = None,
    max_items: Optional[
        "capo_lambda.types.max_fifty_list_items.MaxFiftyListItems"
    ] = None,
) -> "capo_lambda.types.list_function_versions_by_capacity_provider_response.ListFunctionVersionsByCapacityProviderResponse":
    """<p>Returns a list of function versions that are configured to use a specific capacity provider.</p>

    Args:
        capacity_provider_name: <p>The name of the capacity provider to list function versions for.</p>
        marker: <p>Specify the pagination token that's returned by a previous request to retrieve the next page of results.</p>
        max_items: <p>The maximum number of function versions to return in the response.</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.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the request does not exist.</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.
    """

    def _handler(
        req: "OperationRequest[capo_lambda.types.list_function_versions_by_capacity_provider_request.ListFunctionVersionsByCapacityProviderRequest]",
    ) -> OperationResponse[
        "capo_lambda.types.list_function_versions_by_capacity_provider_response.ListFunctionVersionsByCapacityProviderResponse"
    ]:
        import capo_lambda._operations.aws_gir_api_service.list_function_versions_by_capacity_provider

        output, http_response = (
            capo_lambda._operations.aws_gir_api_service.list_function_versions_by_capacity_provider.list_function_versions_by_capacity_provider(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListFunctionVersionsByCapacityProvider")
    )
    input_: capo_lambda.types.list_function_versions_by_capacity_provider_request.ListFunctionVersionsByCapacityProviderRequest = {
        "capacity_provider_name": capacity_provider_name
    }
    if marker is not None:
        input_["marker"] = marker
    if max_items is not None:
        input_["max_items"] = max_items

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