作业队列

此示例使用带有AllowDeferredExecution子job-execution-settings参数的start-transcription-job命令和参数。请注意，如果您在请求中包含 AllowDeferredExecution，则还必须包括 DataAccessRoleArn。

有关更多信息，请参阅StartTranscriptionJob 和JobExecutionSettings。

aws transcribe start-transcription-job \
--region us-west-2 \
--transcription-job-name my-first-transcription-job \
--media MediaFileUri=s3://amzn-s3-demo-bucket/my-input-files/my-media-file.flac \
--output-bucket-name amzn-s3-demo-bucket \
--output-key my-output-files/ \
--language-code en-US \
--job-execution-settings AllowDeferredExecution=true,DataAccessRoleArn=arn:aws:iam::111122223333:role/ExampleRole

以下是另一个使用start-transcription-job命令的示例，以及允许排队的请求正文。

aws transcribe start-transcription-job \
--region us-west-2 \
--cli-input-json file://my-first-queueing-request.json

my-first-queueing-request.json 文件包含以下请求正文。

{
  "TranscriptionJobName": "my-first-transcription-job",
  "Media": {
        "MediaFileUri": "s3://amzn-s3-demo-bucket/my-input-files/my-media-file.flac"
  },
  "OutputBucketName": "amzn-s3-demo-bucket",
  "OutputKey": "my-output-files/", 
  "LanguageCode": "en-US",
  "JobExecutionSettings": {
        "AllowDeferredExecution": true,
        "DataAccessRoleArn": "arn:aws:iam::111122223333:role/ExampleRole"
  }
}

此示例使用 start_transcription_ job 方法的AllowDeferredExecution参数启用作业队列。 AWS SDK for Python (Boto3) 请注意，如果您在请求中包含 AllowDeferredExecution，则还必须包括 DataAccessRoleArn。有关更多信息，请参阅StartTranscriptionJob 和JobExecutionSettings。

有关使用的其他示例 AWS SDKs，包括特定功能示例、场景示例和跨服务示例，请参阅本章。使用 Amazon Transcribe 的代码示例 AWS SDKs

from __future__ import print_function
import time
import boto3
transcribe = boto3.client('transcribe', 'us-west-2')
job_name = "my-first-queueing-request"
job_uri = "s3://amzn-s3-demo-bucket/my-input-files/my-media-file.flac"
transcribe.start_transcription_job(
    TranscriptionJobName = job_name,
    Media = {
        'MediaFileUri': job_uri
    },
    OutputBucketName = 'amzn-s3-demo-bucket',
    OutputKey = 'my-output-files/', 
    LanguageCode = 'en-US', 
    JobExecutionSettings = {
        'AllowDeferredExecution': True,
        'DataAccessRoleArn': 'arn:aws:iam::111122223333:role/ExampleRole'
   }
)

while True:
    status = transcribe.get_transcription_job(TranscriptionJobName = job_name)
    if status['TranscriptionJob']['TranscriptionJobStatus'] in ['COMPLETED', 'FAILED']:
        break
    print("Not ready yet...")
    time.sleep(5)
print(status)