如何用GCP Python客户端库列出Search and Conversation中的数据存储

前置准备 #

• 安装对应GCP客户端库：pip install google-cloud-discoveryengine（Search and Conversation已整合到Discovery Engine服务）
• 完成GCP身份认证（可通过gcloud auth application-default login命令或配置服务账号密钥）

Python实现代码 #

from google.cloud import discoveryengine_v1alpha as discoveryengine

def list_data_stores(project_id: str, location: str = "global"):
    # 初始化客户端
    client = discoveryengine.DataStoreServiceClient()
    
    # 构建父资源路径
    parent = client.common_location_path(project_id, location)
    
    # 调用列表查询接口
    request = discoveryengine.ListDataStoresRequest(parent=parent)
    page_result = client.list_data_stores(request=request)
    
    # 遍历并输出数据存储信息
    print("已创建的数据存储：")
    for ds in page_result:
        print(f"资源名称: {ds.name}")
        print(f"显示名称: {ds.display_name}")
        print(f"状态: {ds.state.name}\n")

if __name__ == "__main__":
    # 替换为你的GCP项目ID
    YOUR_PROJECT_ID = "your-project-id"
    list_data_stores(YOUR_PROJECT_ID)

代码说明 #

• 选用discoveryengine_v1alpha客户端，与你找到的REST API版本完全匹配
• common_location_path方法自动生成符合要求的父资源路径，格式为projects/{project_id}/locations/{location}
• list_data_stores方法对应REST API的projects.locations.dataStores/list接口，返回所有数据存储的完整信息

内容的提问来源于stack exchange，提问作者Rui