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 中的错误是："An error occurred (ValidationException) when calling the CreateJob operation: 1 validation error detected: Value 'PIPE' at 'pipelineId' failed to satisfy constraint: Member must satisfy regular expression pattern: ^\d{13}-\w{6}$"

根据我的代码，我在 Elastic Transcoder 中将我的管道 ID 的名称指定为 PIPE，它不喜欢使用的字符。我尝试了其他一些组合，例如数字和点。有没有人遇到过这个错误并解决过？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/

输入您的正则表达式

我认为你的pipeline_id应该是这样的格式：

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

请检查您在 Elastic Transcoder 中的管道 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

Answer 2

为什么将 PipelineId 设置为 'PIPE'？管道 ID 不是您选择的标识符；它是现有管道资源的 ID，您之前应该使用 create_pipeline() 或等效项创建该资源，Elastic Transcoder 服务为其分配了一个唯一的管道 ID，格式为 ^\d{13}-\w{6}$.

弹性转码器 Boto3 Lambda

Elastic Transcoder Boto3 Lambda

python

amazon-web-services

boto3

aws-lambda

amazon-elastic-transcoder