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Notebook

查询Notebook资源

1.接口说明

接口路径:/ac/openapi/v2/resources/accelerators

请求方式:GET

请求数据类型:

接口描述:查询Notebook资源信息

2.请求消息

请求参数:

Headers:

名称类型必填描述示例
tokenstring接口凭证eyJhbGciOiJIUzI1N...

参数:

名称类型必填描述示例
clusterIdsarray区域ID11250,20057
resourceIdstring资源IDIntel8458P-88C-2T-8*L20

3.请求示例

cURL请求示例

shell
curl --location 'https://scnet-demo.accloud.cn/ac/openapi/v2/resources/accelerators?clusterIds=11250&resourceId=Intel8458P-88C-2T-8*L20' \
--header 'token: <Token>' \
--data ''

Java请求示例

java
import okhttp3.*;

public class GetAcceleratorsDemo {

    public static final String TOKEN = "<Token>";
    public static final String URL = "https://scnet-demo.accloud.cn/ac/openapi/v2/resources/accelerators?clusterIds=11250&resourceId=Intel8458P-88C-2T-8*L20";

    public static void main(String[] args) throws Exception {
        OkHttpClient client = new OkHttpClient().newBuilder().build();
        Request request = new Request.Builder()
                .url(URL)
                .method("GET", null)
                .addHeader("token", TOKEN)
                .build();

        Response response = client.newCall(request).execute();
        System.out.println(response.body().string());
    }
}

Python请求示例

python
import requests

url = "https://scnet-demo.accloud.cn/ac/openapi/v2/resources/accelerators?clusterIds=11250&resourceId=Intel8458P-88C-2T-8*L20"

payload = {}
headers = {
    "token": "<Token>"
}

response = requests.request("GET", url, headers=headers, data=payload)
print(response.text)

4.响应消息

返回参数:

名称类型描述示例
msgstring信息success
codestring状态码0
dataarray
idstring资源ID
resourceGroupCodestring资源分组codenvl20normalc1691523
resourceGroupNamestring资源分组名称nvl20normal
clusterIdstring区域ID11250
clusterNamestring区域名称华东一区【昆山】
maxNumint单节点最大卡数8
maxFreeNumint单节点最大空闲卡数0
cpuNumberstring核心数10核
ramSizestring内存大小220GB
goodsIdstring商品ID792536159556206592
resourceIdString资源IDIntel8458P-88C-2T-8*L20
resourceTypestring资源类型GPU
resourceNamestring资源名称NVIDIA L20 显存48GB PCIE
resourceSpecstring资源详情{\"memory\": \"2048GB\", \"类别\": \"552\", \"cpuCore\": \"88核\", \"gpuModel\": \"L20\", \"gpuMemory\": \"48GB\", \"processor\": \"2*Intel 8458P 44C\", \"cudaVersion\": \"12.2\", \"应用场景\": \"人工智能\"}

返回示例:

json
{
    "code": "0",
    "msg": "success",
    "data": [
        {
            "id": "12",
            "resourceGroupCode": "nvl20normalc1691523",
            "resourceGroupName": "nvl20normal",
            "clusterId": 11250,
            "clusterName": "华东一区【昆山】",
            "maxNum": 8,
            "maxFreeNum": 0,
            "cpuNumber": "10核",
            "ramSize": "220GB",
            "goodsId": "792536159556206592",
            "resourceId": "Intel8458P-88C-2T-8*L20",
            "resourceType": "GPU",
            "resourceName": "NVIDIA L20 显存48GB PCIE",
            "resourceSpec": "{\"memory\": \"2048GB\", \"类别\": \"552\", \"cpuCore\": \"88核\", \"gpuModel\": \"L20\", \"gpuMemory\": \"48GB\", \"processor\": \"2*Intel 8458P 44C\", \"cudaVersion\": \"12.2\", \"应用场景\": \"人工智能\"}"
        }
    ]
}

5.错误码

错误码说明
0成功
10001内部错误
10003参数不全
10004参数无效
10007用户已被冻结
10008权限不足
10009没有权限访问接口
10010文件校验失败
10011文件过大
10012连接中断
716865创建任务错误