Yandex云对象存储中的粒度权限

在Yandex云对象存储中，可以使用粒度权限来控制对存储桶和其中的对象的访问权限。以下是一个使用代码示例来设置粒度权限的解决方法：

1. 安装Yandex云Python SDK：

pip install yandexcloud

2. 创建一个Yandex云对象存储服务实例：

from yandexcloud import YandexCloud
from yandexcloud.iam.v1.iam_token_service_pb2_grpc import IAMTokenServiceStub

cloud = YandexCloud()
iam_token_service = IAMTokenServiceStub(cloud.auth_channel)

3. 获取访问令牌：

from yandexcloud.iam.v1.iam_token_service_pb2 import CreateIamTokenRequest

def get_iam_token():
    response = iam_token_service.CreateIamToken(CreateIamTokenRequest())
    return response.iam_token

iam_token = get_iam_token()

4. 创建一个存储桶：

from yandexcloud.sdk.service import Service

def create_bucket(bucket_name):
    service = Service(cloud, iam_token, 'storage')
    response = service.create_bucket(bucket_name)
    return response

bucket_name = 'example-bucket'
create_bucket(bucket_name)

5. 设置存储桶的粒度权限：

from yandexcloud.sdk.service import ServiceAccount

def set_bucket_acl(bucket_name, service_account_email):
    service = Service(cloud, iam_token, 'storage')
    service_account = ServiceAccount(service_account_email, 'storage.objects.create')
    response = service.set_bucket_acl(bucket_name, [service_account])
    return response

service_account_email = 'example-service-account@yandex.com'
set_bucket_acl(bucket_name, service_account_email)

6. 上传对象到存储桶：

def upload_object(bucket_name, object_name, file_path):
    service = Service(cloud, iam_token, 'storage')
    response = service.upload_object(bucket_name, object_name, file_path)
    return response

object_name = 'example-object'
file_path = '/path/to/file'
upload_object(bucket_name, object_name, file_path)

通过以上步骤，您可以使用Yandex云Python SDK设置存储桶的粒度权限，并上传对象到存储桶中。请注意，代码示例中的一些值需要根据您的实际情况进行修改，比如存储桶名称、服务账号的电子邮件地址和文件路径。