GET
/
api
/
open
/
v2
/
instance
/
list
查询实例列表
curl --request GET \
  --url https://www.chenyu.cn/api/open/v2/instance/list \
  --header 'Authorization: Bearer <token>'
{
  "code": 123,
  "msg": "<string>",
  "data": {
    "instance_list": [
      {
        "instance_uuid": "<string>",
        "status": 123,
        "title": "<string>",
        "create_time": 123,
        "start_time": 123,
        "server_url": [
          {}
        ],
        "server_map": [
          {
            "title": "<string>",
            "url": "<string>",
            "port_type": "<string>",
            "protocol": "<string>",
            "ssh_info": {
              "host": "<string>",
              "port": 123,
              "username": "<string>",
              "password": "<string>"
            }
          }
        ],
        "save_image_status": 123,
        "charging_type": 123,
        "shutdown_regular": {
          "shutdown_time": 123,
          "enable": true
        },
        "image_uuid": "<string>",
        "image_name": "<string>",
        "image_tag": "<string>",
        "gpu_uuid": "<string>",
        "gpu_name": "<string>",
        "gpu_nums": 123
      }
    ],
    "total": 123
  }
}

​
查询实例列表

获取当前用户的所有实例列表，支持分页查询。
在线测试: 您可以在右侧的API Playground中输入您的API Key，然后点击”Try it”按钮直接测试这个接口。API Key格式为 Bearer your_api_key。

​
请求参数

此接口不需要任何请求参数。

​
响应参数

​
code
integer
响应码
​
msg
string
响应信息
​
data
object
返回数据

​
代码示例

import requests
from datetime import datetime

url = "https://www.chenyu.cn/api/open/v2/instance/list"
headers = {
    "Authorization": "Bearer your_api_key",
    "Content-Type": "application/json"
}

params = {
    "page": 1,
    "page_size": 10
}

response = requests.get(url, headers=headers, params=params)
result = response.json()

if result['code'] == 0:
    print(f"总共有 {result['data']['total']} 个实例")
    
    for instance in result['data']['instance_list']:
        create_time = datetime.fromtimestamp(instance['create_time'])
        
        print(f"实例名称: {instance['title']}")
        print(f"实例UUID: {instance['instance_uuid']}")
        print(f"状态: {instance['status']}")
        print(f"GPU: {instance['gpu_name']} x{instance['gpu_nums']}")
        print(f"镜像: {instance['image_name']}")
        print(f"创建时间: {create_time.strftime('%Y-%m-%d %H:%M:%S')}")
        
        if instance['server_url']:
            print("服务地址:")
            for url in instance['server_url']:
                print(f"  - {url}")

        if instance.get('server_map'):
            print("服务详情:")
            for service in instance['server_map']:
                print(f"  - {service['title']}: {service['url']}")
                if service.get('ssh_info'):
                    ssh = service['ssh_info']
                    print(f"    SSH连接: {ssh['username']}@{ssh['host']}:{ssh['port']}")
        print("---")
else:
    print(f"查询失败: {result['msg']}")

​
响应示例

{
  "code": 0,
  "msg": "success",
  "data": {
    "instance_list": [
      {
        "instance_uuid": "inst_12345678-1234-1234-1234-123456789012",
        "status": 2,
        "title": "我的PyTorch实例",
        "create_time": 1703145600,
        "start_time": 1703145660,
        "server_url": [
          "https://jupyter-inst123.chenyu.cn",
          "https://ssh-inst123.chenyu.cn"
        ],
        "server_map": [
          {
            "title": "Jupyter Lab",
            "url": "https://jupyter-inst123.chenyu.cn",
            "port_type": "http",
            "protocol": "tcp"
          },
          {
            "title": "SSH Terminal",
            "url": "ssh://ssh-inst123.chenyu.cn:22",
            "port_type": "ssh",
            "protocol": "tcp",
            "ssh_info": {
              "host": "inst12345678123412341234123456789012.gzxx.chenyu.cn",
              "port": 22001,
              "username": "root",
              "password": "generated_password_123"
            }
          }
        ],
        "save_image_status": 2,
        "charging_type": 1,
        "shutdown_regular": {
          "shutdown_time": 1703232000,
          "enable": true
        },
        "image_uuid": "img_87654321-4321-4321-4321-210987654321",
        "image_name": "PyTorch 2.0 环境",
        "image_tag": "v2.0",
        "gpu_uuid": "gpu_87654321-4321-4321-4321-210987654321",
        "gpu_name": "NVIDIA RTX 4090",
        "gpu_nums": 1
      }
    ],
    "total": 1
  }
}