刪除向量Bucket（Python SDK V2）

許可權說明

阿里雲帳號預設擁有全部許可權。阿里雲帳號下的RAM使用者或RAM角色預設沒有任何許可權，需要阿里雲帳號或帳號管理員通過RAM Policy概述或Bucket Policy授予操作許可權。

方法定義

delete_vector_bucket(request: DeleteVectorBucketRequest, **kwargs) → DeleteVectorBucketResult[source]¶

關於刪除向量Bucket方法的完整定義，請參見delete_vector_bucket。

範例程式碼

import argparse
import alibabacloud_oss_v2 as oss
import alibabacloud_oss_v2.vectors as oss_vectors

parser = argparse.ArgumentParser(description="vector delete bucket sample")
parser.add_argument('--region', help='The region in which the bucket is located.', required=True)
parser.add_argument('--bucket', help='The name of the bucket.', required=True)
parser.add_argument('--endpoint', help='The domain names that other services can use to access OSS')
parser.add_argument('--account_id', help='The account id.', required=True)

def main():
    args = parser.parse_args()

    # Loading credentials values from the environment variables
    credentials_provider = oss.credentials.EnvironmentVariableCredentialsProvider()

    # Using the SDK's default configuration
    cfg = oss.config.load_default()
    cfg.credentials_provider = credentials_provider
    cfg.region = args.region
    cfg.account_id = args.account_id
    cfg.use_internal_endpoint = True  # 如需通過公網訪問，請將此處設定為False或刪除此行

    if args.endpoint is not None:
        cfg.endpoint = args.endpoint

    vector_client = oss_vectors.Client(cfg)

    result = vector_client.delete_vector_bucket(oss_vectors.models.DeleteVectorBucketRequest(
        bucket=args.bucket,
    ))

    print(f'status code: {result.status_code},'
          f' request id: {result.request_id},'
    )

if __name__ == "__main__":
    main()

相關文檔

關於刪除向量Bucket的完整範例程式碼，請參見delete_vector_bucket.py