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get_sampling_statistic_summaries

get_sampling_statistic_summaries(
    *,
    config_overrides: Optional[XRayClientConfig] = None,
    next_token: Optional[String] = None,
) -> GetSamplingStatisticSummariesResult

Retrieves information about recent sampling results for all sampling rules.

Parameters:

Raises:

Source code in docs_src/capo_xray/_services/x_ray.py
def get_sampling_statistic_summaries(
    self,
    *,
    config_overrides: Optional[XRayClientConfig] = None,
    next_token: Optional["capo_xray.types.string.String"] = None,
) -> "capo_xray.types.get_sampling_statistic_summaries_result.GetSamplingStatisticSummariesResult":
    """<p>Retrieves information about recent sampling results for all sampling rules.</p>

    Args:
        next_token: <p>Pagination token.</p>

    Raises:
        capo_xray.errors.invalid_request_exception.InvalidRequestException: <p>The request is missing required parameters or has invalid parameters.</p>
        capo_xray.errors.throttled_exception.ThrottledException: <p>The request exceeds the maximum number of requests per second.</p>
        capo_xray.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_xray.types.get_sampling_statistic_summaries_request.GetSamplingStatisticSummariesRequest]",
    ) -> OperationResponse[
        "capo_xray.types.get_sampling_statistic_summaries_result.GetSamplingStatisticSummariesResult"
    ]:
        import capo_xray._operations.awsx_ray.get_sampling_statistic_summaries

        output, http_response = (
            capo_xray._operations.awsx_ray.get_sampling_statistic_summaries.get_sampling_statistic_summaries(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetSamplingStatisticSummaries")
    )
    input_: capo_xray.types.get_sampling_statistic_summaries_request.GetSamplingStatisticSummariesRequest = {}
    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