个人中心
gpt4 book ai didi

amazon-web-services - AWS CodePipeline 自定义 Lambda 函数永远运行且永不返回

转载 作者：行者123 更新时间：2023-12-02 03:18:57 26 4
gpt4 key购买 nike

我有一个简单的 AWS CodePipeline，其标准“源”->“构建”->“部署”管道阶段运行良好，我正在尝试添加自己的自定义最终管道阶段，即单个 AWS Lambda 函数。问题是我的最后一个自定义 Lambda 函数运行了多次，并且在很长一段时间后出现错误，并显示以下消息:

enter image description here

请参阅随附的整个管道的屏幕截图:

enter image description here

当管道到达最后一步时，它会以“蓝色(进行中)”状态旋转很长时间，然后显示错误，如下所示:

enter image description here

这是我的 Lambda 函数代码:

from __future__ import print_function
import hashlib
import time
import os
import boto3
import json
from botocore.exceptions import ClientError

def lambda_handler(event, context):
    
    # Test
    AWS_ACCESS_KEY = ASDF1234
    AWS_SECRET_KEY = ASDF1234
    SQS_TESTING_OUTPUT_STATUS_QUEUE_NAME = 'TestingOutputQueue'

    # Get the code pipeline
    code_pipeline = boto3.client('codepipeline')
    
    # Get the job_id
    for key, value in event.items():
        print(key,value)
    job_id = event['CodePipeline.job']['id']
    DATA = json.dumps(event)
    
    # Create a connection the SQS Notification service
    sqs_resource_connection = boto3.resource(
        'sqs',
        aws_access_key_id = AWS_ACCESS_KEY,
        aws_secret_access_key = AWS_SECRET_KEY,
        region_name = 'us-west-2'
    )
    
    # Get the queue handle
    print("Waiting for notification from AWS ...")
    queue = sqs_resource_connection.get_queue_by_name(QueueName = SQS_TESTING_OUTPUT_STATUS_QUEUE_NAME)
    messageContent = ""
    cnt = 1
        
    # Replace <a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="d0a3b5beb4b5a290b5a8b1bda0bcb5feb3bfbd" rel="noreferrer noopener nofollow">[email protected]</a> with your "From" address.
    # This address must be verified with Amazon SES.
    SENDER = ME
    
    # Replace <a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="bac8dfd9d3cad3dfd4cefadfc2dbd7cad6df94d9d5d7" rel="noreferrer noopener nofollow">[email protected]</a> with a "To" address. If your account
    # is still in the sandbox, this address must be verified.
    RECIPIENTS = [YOU]
    
    # If necessary, replace us-west-2 with the AWS Region you're using for Amazon SES.
    AWS_REGION = "us-east-1"
    
    # The subject line for the email.
    SUBJECT = "Test Case Results"
    
    # The email body for recipients with non-HTML email clients.
    BODY_TEXT = ("Test Case Results Were ...")
    
    # The HTML body of the email.
    BODY_HTML = """<html>
    <head></head>
    <body>
      <h1>Amazon SES Test (SDK for Python)</h1>
      <p>%s</p>
    </body>
    </html>
                """%(DATA)
    
    # The character encoding for the email.
    CHARSET = "UTF-8"
    
    # Create a new SES resource and specify a region.
    client = boto3.client('ses', region_name=AWS_REGION)
    
    # Try to send the email.
    try:
        # Provide the contents of the email.
        response = client.send_email(
            Destination={
                'ToAddresses': RECIPIENTS,
            },
            Message={
                'Body': {
                    'Html': {
                        'Charset': CHARSET,
                        'Data': BODY_HTML,
                    },
                    'Text': {
                        'Charset': CHARSET,
                        'Data': BODY_TEXT,
                    },
                },
                'Subject': {
                    'Charset': CHARSET,
                    'Data': SUBJECT,
                },
            },
            Source=SENDER,
            # If you are not using a configuration set, comment or delete the
            # following line
            #ConfigurationSetName=CONFIGURATION_SET,
        )
    # Display an error if something goes wrong.
    except ClientError as e:
        code_pipeline.put_third_party_job_failure_result(jobId=job_id, failureDetails={'message': message, 'type': 'JobFailed'})
        code_pipeline.put_job_failure_result(jobId=job_id, failureDetails={'message': message, 'type': 'JobFailed'})      
        print(e.response['Error']['Message'])
    else:
        code_pipeline.put_third_party_job_success_result(jobId=job_id)
        code_pipeline.put_job_success_result(jobId=job_id)
        print("Email sent! Message ID:"),
        print(response['MessageId'])
        
    print('Function complete.')   
    return "Complete."

如何让 Lambda 触发一次并返回，以便管道能够正确完成。

最佳答案

您缺少 Lambda Function 和 CodePipeline 服务之间的重要集成。

您必须通知 CodePipeline 自定义步骤的结果，无论成功与否 - 请参阅下面的示例。

报告成功:

function reportSuccess(job_id) {
  var codepipeline = new AWS.CodePipeline();
  var params = {
    jobId: job_id,
  };
  return codepipeline.putJobSuccessResult(params).promise();
}

报告失败:

function reportFailure(job_id, invoke_id, message) {
  var codepipeline = new AWS.CodePipeline();
  var params = {
    failureDetails: {
      message: message,
      type: 'JobFailed',
      externalExecutionId: invoke_id,
    },
    jobId: job_id,
  };
  return codepipeline.putJobFailureResult(params).promise();
}

这种集成是这样设计的，因为人们可能希望与外部作业工作人员集成，其中他们的 Lambda 启动该工作人员(例如审批流程)，然后该工作人员控制并决定整个步骤是否成功或失败。

关于amazon-web-services - AWS CodePipeline 自定义 Lambda 函数永远运行且永不返回，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/55385831/

26 4 0
文章推荐： php - 在 Laravel 中将对象转换为关联数组
文章推荐： java - 亚型多态性成分
文章推荐： java - 如何使用 Jsoup 获取某些数据？
文章推荐： QBFC - 错误模块名称 : ucrtbase. DLL 异常代码:0xc0000409
行者123
个人简介

我是一名优秀的程序员,十分优秀！

滴滴打车优惠券免费领取
滴滴打车优惠券
全站热门文章
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com