Gets a list of InferSNOMEDCT jobs a user has submitted.
Parameters:
-
next_token
(Optional[String], default:
None
)
–
Identifies the next page of InferSNOMEDCT results to return.
-
max_results
(Optional[MaxResultsInteger], default:
None
)
–
The maximum number of results to return in each page. The default is 100.
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.
-
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.
-
ValidationException
–
The filter that you specified for the operation is invalid. Check the filter values that you entered and try your request again.
-
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 list_snomedct_inference_jobs(
self,
*,
config_overrides: Optional[AsyncComprehendMedicalClientConfig] = 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.
"""
async def _handler(
req: "AsyncOperationRequest[capo_comprehendmedical.types.list_snomedct_inference_jobs_request.ListSNOMEDCTInferenceJobsRequest]",
) -> AsyncOperationResponse[
"capo_comprehendmedical.types.list_snomedct_inference_jobs_response.ListSNOMEDCTInferenceJobsResponse"
]:
import capo_comprehendmedical._operations.comprehend_medical_20181030.list_snomedct_inference_jobs
(
output,
http_response,
) = await capo_comprehendmedical._operations.comprehend_medical_20181030.list_snomedct_inference_jobs.async_list_snomedct_inference_jobs(
req.options, req.input
)
return AsyncOperationResponse(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 = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|