容器

查询容器实例列表

1.接口说明

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

请求方式:GET

请求数据类型:

接口描述:查询容器实例列表

2.请求消息

请求参数:

Headers:

参数:

3.请求示例

cURL请求示例

curl --location --request GET 'https://api01.xxx.com:65106/ai/openapi/v2/instance-service/task' \
--header 'token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb21wdXRlVXNlciI6InNsdXJtdGVzdCIsImFjY291bnRTdGF0dXMiOiJUcmlhbCIsImNyZWF0b3IiOiJhYyIsInJvbGUiOiIxIiwiZXhwaXJlVGltZSI6IjE2ODYxMjMzNDY1NjgiLCJjbHVzdGVySWQiOiIxMTExMiIsImludm9rZXIiOiI2MDQ4Y2U3YmExNWMyYWYyZThjZWMxMjk5MWVjMTNjZiIsInVzZXIiOiJzbHVybXRlc3QiLCJ1c2VySWQiOiIxMTY1NTA0ODU0MSJ9.iQUBzN32jiCeeFuJ9lFS_XjBpxenEEupQRiyA3Ef334' \
--header 'Content-Type: application/json' \
--data '{
    "status": null,
    "instanceServiceName": null,
    "taskType": "ssh",
    "start": 0,
    "limit": 20,
    "sort": "desc"
}'

Java请求示例

import org.apache.http.HttpEntity;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpEntityEnclosingRequestBase;
import org.apache.http.entity.ContentType;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClientBuilder;
import org.apache.http.util.EntityUtils;

import java.net.*;

public class QueryInstanceServiceDemo {

    public static class HttpGetWithEntity extends HttpEntityEnclosingRequestBase {
        public final static String METHOD_NAME = "GET";

        @Override
        public String getMethod() {
            return METHOD_NAME;
        }
    }

    public static void main(String[] args) throws Exception {
        String token = "sdfb3VudFN0YXR1cyI6Ik93ZSIsImNyZWF0b3IiOiJhYyIsInJvbGUiOiIxIiwiZXhwaXJlVGltZSI6IjE3MDAwMTQ3NzM3NzUiLCJjbHVzdGVySWQiOiIxMTI1MCIsImludm9rZXIiOiJiN2I5NjViNjZkM2IzNWJjMTQ0ZDI5YWY1MWUxNjFhMSIsInVzZXIiOiJqc3lhZG1pbiIsInVzZXJJZCI6IjIxOTI1OTExMzgwIn0.M6SaGPF1oQBrcla-xqnrm3psaA1Lij5nPMHO_KH0cLc";
        String url = "https://ai01.xxx.com:65011/ai/openapi/v2/instance-service/task";
        String params = "{\n    \"status\": null,\n    \"instanceServiceName\": null,\n    \"taskType\": \"ssh\",\n    \"start\": 0,\n    \"limit\": 20,\n    \"sort\": \"desc\"\n}";
        CloseableHttpClient httpClient = HttpClientBuilder.create().build();
        HttpGetWithEntity e = new HttpGetWithEntity();
        e.setURI(new URI(url));
        e.setHeader("token", token);
        e.setHeader("Content-Type", "application/json");
        HttpEntity yourEntity = new StringEntity(params, ContentType.APPLICATION_JSON);
        e.setEntity(yourEntity);
        CloseableHttpResponse response = httpClient.execute(e);
        HttpEntity entity = response.getEntity();
        String body = "";
        if (entity != null) {
            body = EntityUtils.toString(entity, "UTF-8");
        }
        System.out.println(body);
        response.close();
    }
}

Python请求示例

import requests
import json

url = "https://api01.xxx.com:65106/ai/openapi/v2/instance-service/task"

payload = json.dumps({
  "status": None,
  "instanceServiceName": None,
  "taskType": "ssh",
  "start": 0,
  "limit": 20,
  "sort": "desc"
})
headers = {
  'token': 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb21wdXRlVXNlciI6InNsdXJtdGVzdCIsImFjY291bnRTdGF0dXMiOiJUcmlhbCIsImNyZWF0b3IiOiJhYyIsInJvbGUiOiIxIiwiZXhwaXJlVGltZSI6IjE2ODYxMjMzNDY1NjgiLCJjbHVzdGVySWQiOiIxMTExMiIsImludm9rZXIiOiI2MDQ4Y2U3YmExNWMyYWYyZThjZWMxMjk5MWVjMTNjZiIsInVzZXIiOiJzbHVybXRlc3QiLCJ1c2VySWQiOiIxMTY1NTA0ODU0MSJ9.iQUBzN32jiCeeFuJ9lFS_XjBpxenEEupQRiyA3Ef334',
  'Content-Type': 'application/json'
}

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

print(response.text)

4.响应消息

返回参数:

返回示例:

{"msg":"success",
 "total":4,"code":"0",
 "data":[{"id":"530491fa7c8e47348f01de73e627a6a7",
          "headerNotebookId":"b54439dc621a434a88e8ab37d1897241",
          "instanceServiceName":"Instances_2204208761",
          "currentIndex":1,
          "gpuNumber":2,
          "cpuNumber":6,
          "ramSize":30720,
          "acceleratorType":"gpu",
          "resourceGroup":"TeslaM40",
          "resourceSpec":"6 核心; 2 加速器; 30.0G 内存",
          "taskNumber":1,
          "timeoutLimit":"unlimited",
          "userName":"demo",
          "version":"pytorch:1.2-py3.6-CUDA10.0",
          "imagePath":"10.0.35.26:5000/gpu/admin/base/pytorch:1.2-py3.6-CUDA10.0",
          "status":"Waiting",
          "taskType":"ssh",
          "description":"",
          "createTime":"2022-04-20 16:16:14",
          "startTime":null,
          "endTime":null,
          "duration":"--",
          "remainingTime":"--",
          "tensorboardId":null,
          "tensorboardPath":null,
          "mountInfoList":null,
          "containerPortInfoList":null,
          "useStartScript":false,
          "startScriptContent":"",
          "startScriptPath":null,
          "startScriptActionScope":"all",
          "headerNotebookIp":null}
}

5.错误码