搭ListTranscriptionJobs配 AWS SDK或使用 CLI

    /// <summary>
    /// List transcription jobs, optionally with a name filter.
    /// </summary>
    /// <param name="jobNameContains">Optional name filter for the transcription jobs.</param>
    /// <returns>A list of transcription job summaries.</returns>
    public async Task<List<TranscriptionJobSummary>> ListTranscriptionJobs(string? jobNameContains = null)
    {
        var response = await _amazonTranscribeService.ListTranscriptionJobsAsync(
            new ListTranscriptionJobsRequest()
            {
                JobNameContains = jobNameContains
            });
        return response.TranscriptionJobSummaries;
    }

列出您的轉錄作業

下列list-transcription-jobs範例會列出與您的 AWS 帳戶和區域相關聯的轉錄工作。

aws transcribe list-transcription-jobs

輸出：

{
    "NextToken": "NextToken",
    "TranscriptionJobSummaries": [
        {
            "TranscriptionJobName": "speak-id-job-1",
            "CreationTime": "2020-08-17T21:06:15.391000+00:00",
            "StartTime": "2020-08-17T21:06:15.416000+00:00",
            "CompletionTime": "2020-08-17T21:07:05.098000+00:00",
            "LanguageCode": "language-code",
            "TranscriptionJobStatus": "COMPLETED",
            "OutputLocationType": "SERVICE_BUCKET"
        },
        {
            "TranscriptionJobName": "job-1",
            "CreationTime": "2020-08-17T20:50:24.207000+00:00",
            "StartTime": "2020-08-17T20:50:24.230000+00:00",
            "CompletionTime": "2020-08-17T20:52:18.737000+00:00",
            "LanguageCode": "language-code",
            "TranscriptionJobStatus": "COMPLETED",
            "OutputLocationType": "SERVICE_BUCKET"
        },
        {
            "TranscriptionJobName": "sdk-test-job-4",
            "CreationTime": "2020-08-17T20:32:27.917000+00:00",
            "StartTime": "2020-08-17T20:32:27.956000+00:00",
            "CompletionTime": "2020-08-17T20:33:15.126000+00:00",
            "LanguageCode": "language-code",
            "TranscriptionJobStatus": "COMPLETED",
            "OutputLocationType": "SERVICE_BUCKET"
        },
        {
            "TranscriptionJobName": "Diarization-speak-id",
            "CreationTime": "2020-08-10T22:10:09.066000+00:00",
            "StartTime": "2020-08-10T22:10:09.116000+00:00",
            "CompletionTime": "2020-08-10T22:26:48.172000+00:00",
            "LanguageCode": "language-code",
            "TranscriptionJobStatus": "COMPLETED",
            "OutputLocationType": "SERVICE_BUCKET"
        },
        {
            "TranscriptionJobName": "your-transcription-job-name",
            "CreationTime": "2020-07-29T17:45:09.791000+00:00",
            "StartTime": "2020-07-29T17:45:09.826000+00:00",
            "CompletionTime": "2020-07-29T17:46:20.831000+00:00",
            "LanguageCode": "language-code",
            "TranscriptionJobStatus": "COMPLETED",
            "OutputLocationType": "SERVICE_BUCKET"
        }
    ]
}

如需詳細資訊，請參閱 Amazon Transcribe 開發人員指南中的入門 (AWS 命令列界面)。

public class ListTranscriptionJobs {
    public static void main(String[] args) {
        TranscribeClient transcribeClient = TranscribeClient.builder()
            .region(Region.US_EAST_1)
            .build();

            listTranscriptionJobs(transcribeClient);
        }

        public static void listTranscriptionJobs(TranscribeClient transcribeClient) {
            ListTranscriptionJobsRequest listJobsRequest = ListTranscriptionJobsRequest.builder()
                .build();

            transcribeClient.listTranscriptionJobsPaginator(listJobsRequest).stream()
                .flatMap(response -> response.transcriptionJobSummaries().stream())
                .forEach(jobSummary -> {
                    System.out.println("Job Name: " + jobSummary.transcriptionJobName());
                    System.out.println("Job Status: " + jobSummary.transcriptionJobStatus());
                    System.out.println("Output Location: " + jobSummary.outputLocationType());
                    // Add more information as needed

                    // Retrieve additional details for the job if necessary
                    GetTranscriptionJobResponse jobDetails = transcribeClient.getTranscriptionJob(
                        GetTranscriptionJobRequest.builder()
                            .transcriptionJobName(jobSummary.transcriptionJobName())
                            .build());

                    // Display additional details
                    System.out.println("Language Code: " + jobDetails.transcriptionJob().languageCode());
                    System.out.println("Media Format: " + jobDetails.transcriptionJob().mediaFormat());
                    // Add more details as needed

                    System.out.println("--------------");
                });
        }
    }

列出轉錄作業。

// Import the required AWS SDK clients and commands for Node.js

import { ListTranscriptionJobsCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";

// Set the parameters
export const params = {
  JobNameContains: "KEYWORD", // Not required. Returns only transcription
  // job names containing this string
};

export const run = async () => {
  try {
    const data = await transcribeClient.send(
      new ListTranscriptionJobsCommand(params)
    );
    console.log("Success", data.TranscriptionJobSummaries);
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();

建立用戶端。

import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };

def list_jobs(job_filter, transcribe_client):
    """
    Lists summaries of the transcription jobs for the current AWS account.

    :param job_filter: The list of returned jobs must contain this string in their
                       names.
    :param transcribe_client: The Boto3 Transcribe client.
    :return: The list of retrieved transcription job summaries.
    """
    try:
        response = transcribe_client.list_transcription_jobs(JobNameContains=job_filter)
        jobs = response["TranscriptionJobSummaries"]
        next_token = response.get("NextToken")
        while next_token is not None:
            response = transcribe_client.list_transcription_jobs(
                JobNameContains=job_filter, NextToken=next_token
            )
            jobs += response["TranscriptionJobSummaries"]
            next_token = response.get("NextToken")
        logger.info("Got %s jobs with filter %s.", len(jobs), job_filter)
    except ClientError:
        logger.exception("Couldn't get jobs with filter %s.", job_filter)
        raise
    else:
        return jobs