infer_snomedct async ¶

async def infer_snomedct(
    self,
    text: "capo_comprehendmedical.types.ontology_linking_bounded_length_string.OntologyLinkingBoundedLengthString",
    *,
    config_overrides: Optional[AsyncComprehendMedicalClientConfig] = None,
) -> "capo_comprehendmedical.types.infer_snomedct_response.InferSNOMEDCTResponse":
    """<p> InferSNOMEDCT detects possible medical concepts as entities and links them to codes from the Systematized Nomenclature of Medicine, Clinical Terms (SNOMED-CT) ontology</p>

    Args:
        text: <p>The input text to be analyzed using InferSNOMEDCT.</p>

    Raises:
        capo_comprehendmedical.errors.internal_server_exception.InternalServerException: <p> An internal server error occurred. Retry your request. </p>
        capo_comprehendmedical.errors.invalid_encoding_exception.InvalidEncodingException: <p> The input text was not in valid UTF-8 character encoding. Check your text then retry your request.</p>
        capo_comprehendmedical.errors.invalid_request_exception.InvalidRequestException: <p> The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.</p>
        capo_comprehendmedical.errors.service_unavailable_exception.ServiceUnavailableException: <p> The Amazon Comprehend Medical service is temporarily unavailable. Please wait and then retry your request. </p>
        capo_comprehendmedical.errors.text_size_limit_exceeded_exception.TextSizeLimitExceededException: <p> The size of the text you submitted exceeds the size limit. Reduce the size of the text or use a smaller document and then retry your request. </p>
        capo_comprehendmedical.errors.too_many_requests_exception.TooManyRequestsException: <p> You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase. </p>
        capo_comprehendmedical.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_comprehendmedical.types.infer_snomedct_request.InferSNOMEDCTRequest]",
    ) -> AsyncOperationResponse[
        "capo_comprehendmedical.types.infer_snomedct_response.InferSNOMEDCTResponse"
    ]:
        import capo_comprehendmedical._operations.comprehend_medical_20181030.infer_snomedct

        (
            output,
            http_response,
        ) = await capo_comprehendmedical._operations.comprehend_medical_20181030.infer_snomedct.async_infer_snomedct(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("InferSNOMEDCT")
    )
    input_: capo_comprehendmedical.types.infer_snomedct_request.InferSNOMEDCTRequest = {
        "text": text
    }

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