describe_assessment_runs ¶

def describe_assessment_runs(
    self,
    assessment_run_arns: "capo_inspector.types.batch_describe_arn_list.BatchDescribeArnList",
    *,
    config_overrides: Optional[InspectorClientConfig] = None,
) -> "capo_inspector.types.describe_assessment_runs_response.DescribeAssessmentRunsResponse":
    """<p>Describes the assessment runs that are specified by the ARNs of the assessment runs.</p>

    Args:
        assessment_run_arns: <p>The ARN that specifies the assessment run that you want to describe.</p>

    Raises:
        capo_inspector.errors.internal_exception.InternalException: <p>Internal server error.</p>
        capo_inspector.errors.invalid_input_exception.InvalidInputException: <p>The request was rejected because an invalid or out-of-range value was supplied for an input parameter.</p>
        capo_inspector.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_inspector.types.describe_assessment_runs_request.DescribeAssessmentRunsRequest]",
    ) -> OperationResponse[
        "capo_inspector.types.describe_assessment_runs_response.DescribeAssessmentRunsResponse"
    ]:
        import capo_inspector._operations.inspector_service.describe_assessment_runs

        output, http_response = (
            capo_inspector._operations.inspector_service.describe_assessment_runs.describe_assessment_runs(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeAssessmentRuns")
    )
    input_: capo_inspector.types.describe_assessment_runs_request.DescribeAssessmentRunsRequest = {
        "assessment_run_arns": assessment_run_arns
    }

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