如何在lambda函数中动态添加触发器存储桶(Python boto3 s3 )

import boto3

def add_trigger_bucket_to_lambda(lambda_function_name, bucket_name):
    # 创建Lambda函数的boto3客户端
    lambda_client = boto3.client('lambda')

    # 获取Lambda函数的当前配置
    response = lambda_client.get_function(FunctionName=lambda_function_name)
    function_configuration = response['Configuration']

    # 获取Lambda函数的当前触发器配置
    current_triggers = function_configuration['Triggers']

    # 创建新的触发器配置
    new_trigger = {
        'Id': 'new-trigger',
        'Arn': 'arn:aws:s3:::' + bucket_name,
        'Type': 'S3',
        'BucketName': bucket_name,
        'Events': ['s3:ObjectCreated:*']
    }

    # 将新的触发器配置添加到当前触发器列表中
    current_triggers.append(new_trigger)

    # 更新Lambda函数的配置，包括新的触发器配置
    response = lambda_client.update_function_configuration(
        FunctionName=lambda_function_name,
        Triggers=current_triggers
    )

    print("成功添加触发器存储桶到Lambda函数！")

# 调用函数来添加触发器存储桶
add_trigger_bucket_to_lambda('your-lambda-function-name', 'your-bucket-name')