describe_rx_norm_inference_job `async` ¶

describe_rx_norm_inference_job(
    job_id: JobId,
    *,
    config_overrides: Optional[AsyncComprehendMedicalClientConfig] = None,
) -> DescribeRxNormInferenceJobResponse

Gets the properties associated with an InferRxNorm job. Use this operation to get the status of an inference job.

Parameters:

job_id (JobId) –

The identifier that Amazon Comprehend Medical generated for the job. The StartRxNormInferenceJob operation returns this identifier in its response.

Raises:

InternalServerException –

An internal server error occurred. Retry your request.
InvalidRequestException –

The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
ResourceNotFoundException –

The resource identified by the specified Amazon Resource Name (ARN) was not found. Check the ARN and try your request again.
TooManyRequestsException –

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.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_comprehendmedical/_services/async_comprehend_medical.py

async def describe_rx_norm_inference_job(
    self,
    job_id: "capo_comprehendmedical.types.job_id.JobId",
    *,
    config_overrides: Optional[AsyncComprehendMedicalClientConfig] = None,
) -> "capo_comprehendmedical.types.describe_rx_norm_inference_job_response.DescribeRxNormInferenceJobResponse":
    """<p>Gets the properties associated with an InferRxNorm job. Use this operation to get the status of an inference job.</p>

    Args:
        job_id: <p>The identifier that Amazon Comprehend Medical generated for the job. The StartRxNormInferenceJob operation returns this identifier in its response.</p>

    Raises:
        capo_comprehendmedical.errors.internal_server_exception.InternalServerException: <p> An internal server error occurred. 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.resource_not_found_exception.ResourceNotFoundException: <p>The resource identified by the specified Amazon Resource Name (ARN) was not found. Check the ARN and try your request again.</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.describe_rx_norm_inference_job_request.DescribeRxNormInferenceJobRequest]",
    ) -> AsyncOperationResponse[
        "capo_comprehendmedical.types.describe_rx_norm_inference_job_response.DescribeRxNormInferenceJobResponse"
    ]:
        import capo_comprehendmedical._operations.comprehend_medical_20181030.describe_rx_norm_inference_job

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeRxNormInferenceJob")
    )
    input_: capo_comprehendmedical.types.describe_rx_norm_inference_job_request.DescribeRxNormInferenceJobRequest = {
        "job_id": job_id
    }

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

describe_rx_norm_inference_job async ¶

describe_rx_norm_inference_job `async` ¶