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list_recommendation_summaries

list_recommendation_summaries(
    group_by: str,
    *,
    config_overrides: Optional[CostOptimizationHubClientConfig] = None,
    filter: Optional[Filter] = None,
    max_results: Optional[MaxResults] = None,
    metrics: Optional[SummaryMetricsList] = None,
    next_token: Optional[str] = None,
) -> ListRecommendationSummariesResponse

Returns a concise representation of savings estimates for resources. Also returns de-duped savings across different types of recommendations.

The following filters are not supported for this API: recommendationIds, resourceArns, and resourceIds.

Parameters:

  • group_by (str) –

    The grouping of recommendations by a dimension.

  • max_results (Optional[MaxResults], default: None ) –

    The maximum number of recommendations to be returned for the request.

  • metrics (Optional[SummaryMetricsList], default: None ) –

    Additional metrics to be returned for the request. The only valid value is savingsPercentage.

  • next_token (Optional[str], default: None ) –

    The token to retrieve the next set of results.

Raises:

Source code in docs_src/capo_cost_optimization_hub/_services/cost_optimization_hub.py
def list_recommendation_summaries(
    self,
    group_by: str,
    *,
    config_overrides: Optional[CostOptimizationHubClientConfig] = None,
    filter: Optional["capo_cost_optimization_hub.types.filter.Filter"] = None,
    max_results: Optional[
        "capo_cost_optimization_hub.types.max_results.MaxResults"
    ] = None,
    metrics: Optional[
        "capo_cost_optimization_hub.types.summary_metrics_list.SummaryMetricsList"
    ] = None,
    next_token: Optional[str] = None,
) -> "capo_cost_optimization_hub.types.list_recommendation_summaries_response.ListRecommendationSummariesResponse":
    """<p>Returns a concise representation of savings estimates for resources. Also returns de-duped savings across different types of recommendations.</p> <note> <p>The following filters are not supported for this API: <code>recommendationIds</code>, <code>resourceArns</code>, and <code>resourceIds</code>.</p> </note>

    Args:
        group_by: <p>The grouping of recommendations by a dimension.</p>
        max_results: <p>The maximum number of recommendations to be returned for the request.</p>
        metrics: <p>Additional metrics to be returned for the request. The only valid value is <code>savingsPercentage</code>.</p>
        next_token: <p>The token to retrieve the next set of results.</p>

    Raises:
        capo_cost_optimization_hub.errors.access_denied_exception.AccessDeniedException: <p>You are not authorized to use this operation with the given parameters.</p>
        capo_cost_optimization_hub.errors.internal_server_exception.InternalServerException: <p>An error on the server occurred during the processing of your request. Try again later.</p>
        capo_cost_optimization_hub.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_cost_optimization_hub.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_cost_optimization_hub.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_cost_optimization_hub.types.list_recommendation_summaries_request.ListRecommendationSummariesRequest]",
    ) -> OperationResponse[
        "capo_cost_optimization_hub.types.list_recommendation_summaries_response.ListRecommendationSummariesResponse"
    ]:
        import capo_cost_optimization_hub._operations.cost_optimization_hub_service.list_recommendation_summaries

        output, http_response = (
            capo_cost_optimization_hub._operations.cost_optimization_hub_service.list_recommendation_summaries.list_recommendation_summaries(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListRecommendationSummaries")
    )
    input_: capo_cost_optimization_hub.types.list_recommendation_summaries_request.ListRecommendationSummariesRequest = {
        "group_by": group_by
    }
    if filter is not None:
        input_["filter"] = filter
    if max_results is not None:
        input_["max_results"] = max_results
    if metrics is not None:
        input_["metrics"] = metrics
    if next_token is not None:
        input_["next_token"] = next_token

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