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如何使用Bitbucket管道在AWS ElasticBeanstalk上部署基于Java Maven的应用程序？

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如何使用Bitbucket管道在AWS ElasticBeanstalk上部署基于Java Maven的应用程序？我发现there示例如何使用python脚本来完成它 . 我根据需要修改了yml和py脚本 . 所有步骤都没问题，机器人在最后一步（执行python脚本，它会抛出错误 . 出了什么问题？谢谢 .

YML File

image: openkbs/jre-mvn-py3

pipelines:
 branches:
  master:
   - step:
      caches:
        - maven
        - node
      script:
        - mvn clean install
        - apt-get update
        - apt-get -y install python-pip
        - pip install boto3
        - export AWS_SECRET_ACCESS_KEY=KEY
        - export AWS_ACCESS_KEY_ID=KEY
        - export AWS_DEFAULT_REGION=REGION
        - python beanstalk_deploy.py

Python Script Source

Traceback（最近一次调用最后一次）：文件“beanstalk_deploy.py”，第107行，在main（）文件“beanstalk_deploy.py”，第99行，在main中，如果不是create_new_version（）：文件“beanstalk_deploy.py”，第56行，在create_new_version中Process = True文件“/usr/local/lib/python2.7/dist-packages/botocore/client.py”，第314行，在_api_call中返回self._make_api_call（operation_name，kwargs）文件“/ usr / local /lib/python2.7/dist-packages/botocore/client.py“，第586行，在_make_api_call api_params，operation_model，context = request_context）文件”/usr/local/lib/python2.7/dist-packages/botocore/ client.py“，第641行，在_convert_to_request_dict api_params，operation_model中）文件”/usr/local/lib/python2.7/dist-packages/botocore/validate.py“，第291行，在serialize_to_request中引发ParamValidationError（report = report . generate_report（））botocore.exceptions.ParamValidationError：参数验证失败：参数SourceBundle.S3Bucket的类型无效，值：无，类型：，有效类型：

python maven amazon-web-services elastic-beanstalk bitbucket-pipelines

1 回答

  • 0

    已经找到了解决方案 . 首先，我们使用其中的所有工具创建新的一个图像 .

    修改yml管道文件

    image: hardtyz/jre-mvn-py3

pipelines:
  branches:
    master:
      - step:
          caches:
            - maven
            - node
          script:
            - mvn clean install
            - export AWS_SECRET_ACCESS_KEY=AWS_SECRET_ACCESS_KEY
            - export AWS_ACCESS_KEY_ID=AWS_ACCESS_KEY_ID
            - export AWS_DEFAULT_REGION=AWS_DEFAULT_REGION
            - python3 beanstalk_deploy.py

    并修改python脚本 . 只需使用您的值更新脚本中的变量即可 .

    from __future__ import print_function
import sys
from time import strftime, sleep
import boto3
from botocore.exceptions import ClientError

VERSION_LABEL = strftime("%Y%m%d%H%M%S")
BUCKET_KEY = VERSION_LABEL + '-bitbucket_builds.jar'
BUCKET_NAME = 'your_bucket_name'
APP_NAME='AppName'
ENV_NAME='AppName-env'
ARTIFACT_PATH='./core/target/core-0.0.1-SNAPSHOT.jar'

def upload_to_s3(artifact):
"""
Uploads an artifact to Amazon S3
"""
try:
    client = boto3.client('s3')
except ClientError as err:
    print("Failed to create boto3 client.\n" + str(err))
    return False

try:
    client.put_object(
        Body=open(artifact, 'rb'),
        Bucket=BUCKET_NAME,
        Key=BUCKET_KEY
    )
except ClientError as err:
    print("Failed to upload artifact to S3.\n" + str(err))
    return False
except IOError as err:
    print("Failed to access artifact in this directory.\n" + str(err))
    return False

return True

def deploy_new_version():
"""
Deploy a new version to AWS Elastic Beanstalk
"""
try:
    client = boto3.client('elasticbeanstalk')
except ClientError as err:
    print("Failed to create boto3 client.\n" + str(err))
    return False

try:
    response = client.update_environment(
        ApplicationName=APP_NAME,
        EnvironmentName=ENV_NAME,
        VersionLabel=VERSION_LABEL,
    )
except ClientError as err:
    print("Failed to update environment.\n" + str(err))
    return False

print(response)
return True

def main():
if not upload_to_s3(ARTIFACT_PATH):
    sys.exit(1)
if not create_new_version():
    sys.exit(1)
# Wait for the new version to be consistent before deploying
sleep(5)
if not deploy_new_version():
    sys.exit(1)

if __name__ == "__main__":
    main()
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