我的AWS Rekognition示例代码未运行

Question

我是AWS API的新手，正在尝试运行描述here的示例AWS Rekognition代码（名人识别）。设置所有配置和凭据，并且应用程序正在运行。但这只是停留在循环打印中：

Waiting for job: c0059a6ee383daf6e6be12c39ee609cfadcbexxxxxxxxxx
....................
....................
....................

从不离开。不知道代码或配置是否有问题或其他什么。

有什么问题？为什么我看不到任何结果？这也是链接中的代码。

import java.util.List;

import com.amazonaws.services.rekognition.AmazonRekognition;
import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
import com.amazonaws.services.rekognition.model.CelebrityDetail;
import com.amazonaws.services.rekognition.model.CelebrityRecognition;
import com.amazonaws.services.rekognition.model.CelebrityRecognitionSortBy;
import com.amazonaws.services.rekognition.model.GetCelebrityRecognitionRequest;
import com.amazonaws.services.rekognition.model.GetCelebrityRecognitionResult;
import com.amazonaws.services.rekognition.model.NotificationChannel;
import com.amazonaws.services.rekognition.model.S3Object;
import com.amazonaws.services.rekognition.model.StartCelebrityRecognitionRequest;
import com.amazonaws.services.rekognition.model.StartCelebrityRecognitionResult;
import com.amazonaws.services.rekognition.model.Video;
import com.amazonaws.services.rekognition.model.VideoMetadata;
import com.amazonaws.services.sqs.AmazonSQS;
import com.amazonaws.services.sqs.AmazonSQSClientBuilder;
import com.amazonaws.services.sqs.model.Message;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;

public class VideoDetectCelebrity {


    private static String bucket = "test-bucket";
    private static String video = "test.mp4"; 
    private static String queueUrl =  "https://sqs.us-east-2.amazonaws.com/xxxx/aws-queue";
    private static String topicArn="arn:aws:sns:us-east-2:xxxx:aws-test";
    private static String roleArn="arn:aws:iam::xxxxxx:role/aws-test-role";
    private static AmazonSQS sqs = null;
    private static AmazonRekognition rek = null;

    private static NotificationChannel channel= new NotificationChannel()
            .withSNSTopicArn(topicArn)
            .withRoleArn(roleArn);


    private static String startJobId = null;


    public static void main(String[] args)  throws Exception{

        sqs = AmazonSQSClientBuilder.defaultClient();
        rek = AmazonRekognitionClientBuilder.defaultClient();

        //=================================================
        StartCelebrities(bucket, video);
        //=================================================
        System.out.println("Waiting for job: " + startJobId);
        //Poll queue for messages
        List<Message> messages=null;
        int dotLine=0;
        boolean jobFound=false;

        //loop until the job status is published. Ignore other messages in queue.
        do{
            messages = sqs.receiveMessage(queueUrl).getMessages();
            if (dotLine++<20){
                System.out.print(".");
            }else{
                System.out.println();
                dotLine=0;
            }

            if (!messages.isEmpty()) {
                //Loop through messages received.
                for (Message message: messages) {
                    String notification = message.getBody();

                    // Get status and job id from notification.
                    ObjectMapper mapper = new ObjectMapper();
                    JsonNode jsonMessageTree = mapper.readTree(notification);
                    JsonNode messageBodyText = jsonMessageTree.get("Message");
                    ObjectMapper operationResultMapper = new ObjectMapper();
                    JsonNode jsonResultTree = operationResultMapper.readTree(messageBodyText.textValue());
                    JsonNode operationJobId = jsonResultTree.get("JobId");
                    JsonNode operationStatus = jsonResultTree.get("Status");
                    System.out.println("Job found was " + operationJobId);
                    // Found job. Get the results and display.
                    if(operationJobId.asText().equals(startJobId)){
                        jobFound=true;
                        System.out.println("Job id: " + operationJobId );
                        System.out.println("Status : " + operationStatus.toString());
                        if (operationStatus.asText().equals("SUCCEEDED")){
                            //============================================
                            GetResultsCelebrities();
                            //============================================
                        }
                        else{
                            System.out.println("Video analysis failed");
                        }

                        sqs.deleteMessage(queueUrl,message.getReceiptHandle());
                    }

                    else{
                        System.out.println("Job received was not job " +  startJobId);
                        //Delete unknown message. Consider moving message to dead letter queue
                        sqs.deleteMessage(queueUrl,message.getReceiptHandle());
                    }
                }
            }
        } while (!jobFound);


        System.out.println("Done!");
    }


    //Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
    //PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)

    // Celebrities=====================================================================
    private static void StartCelebrities(String bucket, String video) throws Exception{

        StartCelebrityRecognitionRequest req = new StartCelebrityRecognitionRequest()
                .withVideo(new Video()
                        .withS3Object(new S3Object()
                                .withBucket(bucket)
                                .withName(video)))
                .withNotificationChannel(channel);

        StartCelebrityRecognitionResult startCelebrityRecognitionResult = rek.startCelebrityRecognition(req);
        startJobId=startCelebrityRecognitionResult.getJobId();

    } 

    private static void GetResultsCelebrities() throws Exception{

        int maxResults=10;
        String paginationToken=null;
        GetCelebrityRecognitionResult celebrityRecognitionResult=null;

        do{
            if (celebrityRecognitionResult !=null){
                paginationToken = celebrityRecognitionResult.getNextToken();
            }
            celebrityRecognitionResult = rek.getCelebrityRecognition(new GetCelebrityRecognitionRequest()
                    .withJobId(startJobId)
                    .withNextToken(paginationToken)
                    .withSortBy(CelebrityRecognitionSortBy.TIMESTAMP)
                    .withMaxResults(maxResults));


            System.out.println("File info for page");
            VideoMetadata videoMetaData=celebrityRecognitionResult.getVideoMetadata();

            System.out.println("Format: " + videoMetaData.getFormat());
            System.out.println("Codec: " + videoMetaData.getCodec());
            System.out.println("Duration: " + videoMetaData.getDurationMillis());
            System.out.println("FrameRate: " + videoMetaData.getFrameRate());

            System.out.println("Job");

            System.out.println("Job status: " + celebrityRecognitionResult.getJobStatus());


            //Show celebrities
            List<CelebrityRecognition> celebs= celebrityRecognitionResult.getCelebrities();

            for (CelebrityRecognition celeb: celebs) { 
                long seconds=celeb.getTimestamp()/1000;
                System.out.print("Sec: " + Long.toString(seconds) + " ");
                CelebrityDetail details=celeb.getCelebrity();
                System.out.println("Name: " + details.getName());
                System.out.println("Id: " + details.getId());
                System.out.println(); 
            }
        } while (celebrityRecognitionResult !=null && celebrityRecognitionResult.getNextToken() != null);

    }

}

在查看我的SQS仪表板时，aws-queue在运行代码时没有可用消息：