Gets the properties associated with a topic detection job. Use this operation to get the status of a detection job.
Parameters:
-
job_id
(JobId)
–
The identifier assigned by the user to the detection job.
Raises:
Source code in docs_src/capo_comprehend/_services/comprehend.py
| def describe_topics_detection_job(
self,
job_id: "capo_comprehend.types.job_id.JobId",
*,
config_overrides: Optional[ComprehendClientConfig] = None,
) -> "capo_comprehend.types.describe_topics_detection_job_response.DescribeTopicsDetectionJobResponse":
"""<p>Gets the properties associated with a topic detection job. Use this operation to get the status of a detection job.</p>
Args:
job_id: <p>The identifier assigned by the user to the detection job.</p>
Raises:
capo_comprehend.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
capo_comprehend.errors.invalid_request_exception.InvalidRequestException: <p>The request is invalid.</p>
capo_comprehend.errors.job_not_found_exception.JobNotFoundException: <p>The specified job was not found. Check the job ID and try again.</p>
capo_comprehend.errors.too_many_requests_exception.TooManyRequestsException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
capo_comprehend.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_comprehend.types.describe_topics_detection_job_request.DescribeTopicsDetectionJobRequest]",
) -> OperationResponse[
"capo_comprehend.types.describe_topics_detection_job_response.DescribeTopicsDetectionJobResponse"
]:
import capo_comprehend._operations.comprehend_20171127.describe_topics_detection_job
output, http_response = (
capo_comprehend._operations.comprehend_20171127.describe_topics_detection_job.describe_topics_detection_job(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DescribeTopicsDetectionJob")
)
input_: capo_comprehend.types.describe_topics_detection_job_request.DescribeTopicsDetectionJobRequest = {
"job_id": job_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|