list_snomedct_inference_jobs ¶

def list_snomedct_inference_jobs(
    self,
    *,
    config_overrides: Optional[ComprehendMedicalClientConfig] = None,
    filter: Optional[
        "capo_comprehendmedical.types.comprehend_medical_async_job_filter.ComprehendMedicalAsyncJobFilter"
    ] = None,
    next_token: Optional["capo_comprehendmedical.types.string.String"] = None,
    max_results: Optional[
        "capo_comprehendmedical.types.max_results_integer.MaxResultsInteger"
    ] = None,
) -> "capo_comprehendmedical.types.list_snomedct_inference_jobs_response.ListSNOMEDCTInferenceJobsResponse":
    """<p> Gets a list of InferSNOMEDCT jobs a user has submitted. </p>

    Args:
        next_token: <p> Identifies the next page of InferSNOMEDCT results to return. </p>
        max_results: <p> The maximum number of results to return in each page. The default is 100. </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.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.validation_exception.ValidationException: <p>The filter that you specified for the operation is invalid. Check the filter values that you entered and try your request again.</p>
        capo_comprehendmedical.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_comprehendmedical.types.list_snomedct_inference_jobs_request.ListSNOMEDCTInferenceJobsRequest]",
    ) -> OperationResponse[
        "capo_comprehendmedical.types.list_snomedct_inference_jobs_response.ListSNOMEDCTInferenceJobsResponse"
    ]:
        import capo_comprehendmedical._operations.comprehend_medical_20181030.list_snomedct_inference_jobs

        output, http_response = (
            capo_comprehendmedical._operations.comprehend_medical_20181030.list_snomedct_inference_jobs.list_snomedct_inference_jobs(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListSNOMEDCTInferenceJobs")
    )
    input_: capo_comprehendmedical.types.list_snomedct_inference_jobs_request.ListSNOMEDCTInferenceJobsRequest = {}
    if filter is not None:
        input_["filter"] = filter
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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