python - 弹性转码器 Boto3 Lambda

Question

当我尝试使用通过 python 函数 Boto3 从 Lambda 调用的 Elastic Transcoder 时，我听到了以下错误。 Cloudwatch Logs 中的错误为:“调用 CreateJob 操作时发生错误 (ValidationException):检测到 1 个验证错误:‘pipelineId’处的值‘PIPE’无法满足约束:成员必须满足正则表达式模式:^\d{13 }-\w{6}$"

根据我的代码，我在 Elastic Transcoder 中将管道 ID 的名称指定为 PIPE，但它不喜欢使用的字符。我尝试了一些其他组合，例如数字和点。以前有人遇到过这个错误并解决过吗？我使用 AWS 示例代码作为起点。提前致谢!

import boto3
from botocore.exceptions import ClientError

def lambda_handler(event, context):

    # Job configuration settings. Set these values before running the script.
    pipeline_id = 'PIPE'         # ID of an existing Elastic Transcoder pipeline
    input_file = 'ChiliChallenge.mp4'          # Name of an existing file in the S3 input bucket
    output_file = 'output'  # Desired root name of the transcoded output files

    # Other job configuration settings. Optionally change as desired.
    output_file_prefix = 'elastic-transcoder-samples/output/hls/'  # Prefix for all output files
    segment_duration = '2'                                         # Maximum segment duration in seconds

    # Elastic Transcoder presets used to create HLS multi-segment
    # output files in MPEG-TS format
    hls_64k_audio_preset_id = '1351620000001-200071'    # HLS Audio 64kb/second
    hls_0400k_preset_id = '1351620000001-200050'        # HLS 400k
    hls_0600k_preset_id = '1351620000001-200040'        # HLS 600k
    hls_1000k_preset_id = '1351620000001-200030'        # HLS 1M
    hls_1500k_preset_id = '1351620000001-200020'        # HLS 1.5M
    hls_2000k_preset_id = '1351620000001-200010'        # HLS 2M

    # Define the various outputs
    outputs = [
        {
            'Key': 'hlsAudio/' + output_file,
            'PresetId': hls_64k_audio_preset_id,
            'SegmentDuration': segment_duration,
        },
        {
            'Key': 'hls0400k/' + output_file,
            'PresetId': hls_0400k_preset_id,
            'SegmentDuration': segment_duration,
        },
        {
            'Key': 'hls0600k/' + output_file,
            'PresetId': hls_0600k_preset_id,
            'SegmentDuration': segment_duration,
        },
        {
            'Key': 'hls1000k/' + output_file,
            'PresetId': hls_1000k_preset_id,
            'SegmentDuration': segment_duration,
        },
        {
            'Key': 'hls1500k/' + output_file,
            'PresetId': hls_1500k_preset_id,
            'SegmentDuration': segment_duration,
        },
        {
            'Key': 'hls2000k/' + output_file,
            'PresetId': hls_2000k_preset_id,
            'SegmentDuration': segment_duration,
        },
    ]

    # Define the playlist
    playlists = [
        {
            'Name': 'hls_' + output_file,
            'Format': 'HLSv3',
            'OutputKeys': [x['Key'] for x in outputs]
        }
    ]

    # Create an HLS job in Elastic Transcoder
    etc_client = boto3.client('elastictranscoder')
    response = etc_client.create_job(PipelineId=pipeline_id,
                                         Input={'Key': input_file},
                                         Outputs=outputs,
                                         OutputKeyPrefix=output_file_prefix,
                                         Playlists=playlists)

    # Output job ID and exit. Do not wait for the job to finish.
    print(f'Created Amazon Elastic Transcoder HLS job {job_info["Id"]}')

Answer 1

在 https://regexr.com/ 输入正则表达式时

我认为您的 pipeline_id 应该采用以下格式:

1704334089176-jhNzi6(13 位数字，后跟“-”，后跟 6 个字母数字字符)。

请务必在 Elastic Transcoder 中检查您的管道 ID，以确认正确的管道 ID。也许这可以帮助您找到正确的 ID:

https://docs.aws.amazon.com/elastictranscoder/latest/developerguide/list-pipelines.html