> ## Documentation Index
> Fetch the complete documentation index at: https://chenyu.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 查询算力市场镜像

> 查询算力市场中可用的镜像列表

# 查询算力市场镜像

获取算力市场中所有可用的镜像列表。

<Info>
  **无需认证**: 此接口为公开接口，无需提供API Key即可访问。
</Info>

## 请求参数

<ParamField query="page" type="integer">
  页码，从1开始
</ParamField>

<ParamField query="page_size" type="integer">
  每页数量
</ParamField>

<ParamField query="cuda_version" type="string">
  CUDA版本，如：11.8.0等
</ParamField>

<ParamField query="python_version" type="string">
  Python版本，如：3.8、3.9、3.10等
</ParamField>

## 响应参数

<ResponseField name="code" type="integer">
  响应码
</ResponseField>

<ResponseField name="msg" type="string">
  响应信息
</ResponseField>

<ResponseField name="data" type="object">
  返回数据

  <Expandable title="data">
    <ResponseField name="image_list" type="array">
      镜像列表

      <Expandable title="image_list">
        <ResponseField name="uuid" type="string">
          镜像UUID
        </ResponseField>

        <ResponseField name="components" type="object">
          组件版本信息

          <Expandable title="components">
            <ResponseField name="CUDA" type="string">
              CUDA版本
            </ResponseField>

            <ResponseField name="PaddlePaddle" type="string">
              PaddlePaddle版本
            </ResponseField>

            <ResponseField name="PyTorch" type="string">
              PyTorch版本
            </ResponseField>

            <ResponseField name="Python" type="string">
              Python版本
            </ResponseField>

            <ResponseField name="TensorFlow" type="string">
              TensorFlow版本
            </ResponseField>

            <ResponseField name="Ubuntu" type="string">
              Ubuntu版本
            </ResponseField>
          </Expandable>
        </ResponseField>

        <ResponseField name="size" type="integer">
          镜像大小（字节）
        </ResponseField>

        <ResponseField name="created_at" type="integer">
          创建时间戳
        </ResponseField>

        <ResponseField name="updated_at" type="integer">
          更新时间戳
        </ResponseField>
      </Expandable>
    </ResponseField>

    <ResponseField name="total" type="integer">
      总记录数
    </ResponseField>

    <ResponseField name="page" type="integer">
      当前页码
    </ResponseField>

    <ResponseField name="page_size" type="integer">
      每页数量
    </ResponseField>
  </Expandable>
</ResponseField>

## 代码示例

<CodeGroup>
  ```python Python theme={null}
  import requests

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

  params = {
      "page": 1,
      "page_size": 20,
      "cuda_version": "11.8",
      "python_version": "3.9"
  }

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

  print("算力市场镜像列表:")
  print(f"总数: {result['data']['total']}, 当前页: {result['data']['page']}")
  for image in result['data']['image_list']:
      print(f"UUID: {image['uuid']}")
      print(f"CUDA版本: {image['components']['CUDA']}")
      print(f"Python版本: {image['components']['Python']}")
      print(f"PyTorch版本: {image['components']['PyTorch']}")
      print(f"TensorFlow版本: {image['components']['TensorFlow']}")
      print(f"镜像大小: {image['size']} 字节")
      print("---")
  ```

  ```javascript JavaScript theme={null}
  const axios = require('axios');

  const url = 'https://www.chenyu.cn/api/open/v2/image/market/list';
  const headers = {
      'Authorization': 'Bearer your_api_key',
      'Content-Type': 'application/json'
  };

  const params = {
      page: 1,
      page_size: 20,
      cuda_version: '11.8',
      python_version: '3.9'
  };

  axios.get(url, { headers, params })
      .then(response => {
          const data = response.data.data;
          console.log('算力市场镜像列表:');
          console.log(`总数: ${data.total}, 当前页: ${data.page}`);

          data.image_list.forEach(image => {
              console.log(`UUID: ${image.uuid}`);
              console.log(`CUDA版本: ${image.components.CUDA}`);
              console.log(`Python版本: ${image.components.Python}`);
              console.log(`PyTorch版本: ${image.components.PyTorch}`);
              console.log(`TensorFlow版本: ${image.components.TensorFlow}`);
              console.log(`镜像大小: ${image.size} 字节`);
              console.log('---');
          });
      })
      .catch(error => {
          console.error('Error:', error.response.data);
      });
  ```

  ```curl cURL theme={null}
  curl -X GET "https://www.chenyu.cn/api/open/v2/image/market/list?page=1&page_size=20&cuda_version=11.8&python_version=3.9" \
    -H "Authorization: Bearer your_api_key" \
    -H "Content-Type: application/json"
  ```
</CodeGroup>

## 响应示例

```json theme={null}
{
  "code": 0,
  "msg": "查询成功",
  "data": {
    "image_list": [
      {
        "uuid": "ceb70da2df074c9e99905b6a4f4db032",
        "components": {
          "CUDA": "11.8.0",
          "PaddlePaddle": "2.5.2",
          "PyTorch": "2.1.2",
          "Python": "3.10",
          "TensorFlow": "2.16.2",
          "Ubuntu": "22.04"
        },
        "size": 19372840210,
        "created_at": 1743213028,
        "updated_at": 1743215603
      }
    ],
    "total": 84,
    "page": 1,
    "page_size": 1
  }
}
```