容器

获取节点资源限额

1.接口说明

接口路径:/ai/openapi/v2/instance-service/resources

请求方式:GET

请求数据类型:

接口描述:获取节点资源限额

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eyJhbGciOiJIUzI1...

参数:

名称 类型 必填 描述 示例
acceleratorTypestring加速器类型gpu
resourceGroupstring资源分组TeslaM40

3.请求示例

cURL请求示例

curl --location 'https://api01.xxx.com:65106/ai/openapi/v2/instance-service/resources?resourceGroup=TeslaM40&acceleratorType=gpu' \
--header 'token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb21wdXRlVXNlciI6InNsdXJtdGVzdCIsImFjY291bnRTdGF0dXMiOiJUcmlhbCIsImNyZWF0b3IiOiJhYyIsInJvbGUiOiIxIiwiZXhwaXJlVGltZSI6IjE2ODYxMjMzNDY1NjgiLCJjbHVzdGVySWQiOiIxMTExMiIsImludm9rZXIiOiI2MDQ4Y2U3YmExNWMyYWYyZThjZWMxMjk5MWVjMTNjZiIsInVzZXIiOiJzbHVybXRlc3QiLCJ1c2VySWQiOiIxMTY1NTA0ODU0MSJ9.iQUBzN32jiCeeFuJ9lFS_XjBpxenEEupQRiyA3Ef334'

Java请求示例

import okhttp3.*;

public class GetInstanceResourceLimitDemo {

    public static final String TOKEN = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb21wdXRlVXNlciI6InNsdXJtdGVzdCIsImFjY291bnRTdGF0dXMiOiJUcmlhbCIsImNyZWF0b3IiOiJhYyIsInJvbGUiOiIxIiwiZXhwaXJlVGltZSI6IjE2ODY5MDg1MDkyMzEiLCJjbHVzdGVySWQiOiIxMTExMiIsImludm9rZXIiOiI2MDQ4Y2U3YmExNWMyYWYyZThjZWMxMjk5MWVjMTNjZiIsInVzZXIiOiJzbHVybXRlc3QiLCJ1c2VySWQiOiIxMTY1NTA0ODU0MSJ9.U7pZKgO_K6NuRwOWPxblDfgRpGeVxS-BYieOdLhGDK4";

    public static void main(String[] args) throws Exception {
        OkHttpClient client = new OkHttpClient().newBuilder()
                .build();
        Request request = new Request.Builder()
                .url("https://api01.xxx.com:65106/ai/openapi/v2/instance-service/resources?resourceGroup=TeslaM40&acceleratorType=gpu")
                .method("GET", null)
                .addHeader("token", "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb21wdXRlVXNlciI6InNsdXJtdGVzdCIsImFjY291bnRTdGF0dXMiOiJUcmlhbCIsImNyZWF0b3IiOiJhYyIsInJvbGUiOiIxIiwiZXhwaXJlVGltZSI6IjE2ODYxMjMzNDY1NjgiLCJjbHVzdGVySWQiOiIxMTExMiIsImludm9rZXIiOiI2MDQ4Y2U3YmExNWMyYWYyZThjZWMxMjk5MWVjMTNjZiIsInVzZXIiOiJzbHVybXRlc3QiLCJ1c2VySWQiOiIxMTY1NTA0ODU0MSJ9.iQUBzN32jiCeeFuJ9lFS_XjBpxenEEupQRiyA3Ef334")
                .build();
        Response response = client.newCall(request).execute();
        System.out.println(response.body().string());
    }
}

Python请求示例

import requests

url = "https://api01.xxx.com:65106/ai/openapi/v2/instance-service/resources?resourceGroup=TeslaM40&acceleratorType=gpu"

payload = {}
headers = {
  'token': 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb21wdXRlVXNlciI6InNsdXJtdGVzdCIsImFjY291bnRTdGF0dXMiOiJUcmlhbCIsImNyZWF0b3IiOiJhYyIsInJvbGUiOiIxIiwiZXhwaXJlVGltZSI6IjE2ODYxMjMzNDY1NjgiLCJjbHVzdGVySWQiOiIxMTExMiIsImludm9rZXIiOiI2MDQ4Y2U3YmExNWMyYWYyZThjZWMxMjk5MWVjMTNjZiIsInVzZXIiOiJzbHVybXRlc3QiLCJ1c2VySWQiOiIxMTY1NTA0ODU0MSJ9.iQUBzN32jiCeeFuJ9lFS_XjBpxenEEupQRiyA3Ef334'
}

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信息操作成功
codestring状态码0
dataObject节点资源限额信息
idstring容器ID
cpuNumberint单节点cpu核心数量
mluLimitsint单节点mlu卡数限额
dcuLimitsint单节点dcu卡数限额
nvLimitsint单节点gpu卡数限额
gpuNumberint单节点gpu数量
memorySizeint单节点最大内存
resourceGroupstring资源分组
userNamestring用户名
nodeNumberint队列的节点数量
maxTimestring任务最大运行时间

返回示例:

{"code":"0",
 "msg":"success",
 "data":
     {"id":null,
     "cpuNumber":40,
     "mluLimits":0,
     "dcuLimits":0,
     "nvLimits":0,
     "gpuNumber":2,
     "memorySize":31888,
     "resourceGroup":"TeslaM40",
     "userName":null,
     "nodeNumber":1,
     "maxTime":"unlimited"}
}

5.错误码

错误码 说明
0 成功
10001 内部异常(其他异常)
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

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