Requests a sampling quota for rules that the service is using to sample requests.
Parameters:
Raises:
Source code in docs_src/capo_xray/_services/async_x_ray.py
| async def get_sampling_targets(
self,
sampling_statistics_documents: "capo_xray.types.sampling_statistics_document_list.SamplingStatisticsDocumentList",
*,
config_overrides: Optional[AsyncXRayClientConfig] = None,
sampling_boost_statistics_documents: Optional[
"capo_xray.types.sampling_boost_statistics_document_list.SamplingBoostStatisticsDocumentList"
] = None,
) -> "capo_xray.types.get_sampling_targets_result.GetSamplingTargetsResult":
"""<p>Requests a sampling quota for rules that the service is using to sample requests. </p>
Args:
sampling_statistics_documents: <p>Information about rules that the service is using to sample requests.</p>
sampling_boost_statistics_documents: <p>Information about rules that the service is using to boost sampling rate.</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.
"""
async def _handler(
req: "AsyncOperationRequest[capo_xray.types.get_sampling_targets_request.GetSamplingTargetsRequest]",
) -> AsyncOperationResponse[
"capo_xray.types.get_sampling_targets_result.GetSamplingTargetsResult"
]:
import capo_xray._operations.awsx_ray.get_sampling_targets
(
output,
http_response,
) = await capo_xray._operations.awsx_ray.get_sampling_targets.async_get_sampling_targets(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetSamplingTargets")
)
input_: capo_xray.types.get_sampling_targets_request.GetSamplingTargetsRequest = {
"sampling_statistics_documents": sampling_statistics_documents
}
if sampling_boost_statistics_documents is not None:
input_["sampling_boost_statistics_documents"] = (
sampling_boost_statistics_documents
)
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|