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 |
---|---|---|---|---|
token | string | 是 | 接口凭证 | eyJhbGciOiJIUzI1... |
参数:
名称 | 类型 | 必填 | 描述 | 示例 |
---|---|---|---|---|
acceleratorType | string | 是 | 加速器类型 | gpu |
resourceGroup | string | 是 | 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 |
---|---|---|---|
msg | string | 信息 | 操作成功 |
code | string | 状态码 | 0 |
data | Object | 节点资源限额信息 | |
id | string | 容器ID | |
cpuNumber | int | 单节点cpu核心数量 | |
mluLimits | int | 单节点mlu卡数限额 | |
dcuLimits | int | 单节点dcu卡数限额 | |
nvLimits | int | 单节点gpu卡数限额 | |
gpuNumber | int | 单节点gpu数量 | |
memorySize | int | 单节点最大内存 | |
resourceGroup | string | 资源分组 | |
userName | string | 用户名 | |
nodeNumber | int | 队列的节点数量 | |
maxTime | string | 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 |