## 外部接口

> 外部接口，是后端应用程序请求的外部api，不是提供给前端直接使用的。后端请求了这些api以后还要进行处理后，再提供给前端使用。

### 1. 分割试卷API:

请求:

```bash
curl --location --request POST 'https://ekt1.suzhou.edu.cn/autocut/detect' \
--header 'Accept: */*' \
--header 'Host: ekt1.suzhou.edu.cn' \
--header 'Connection: keep-alive' \
--header 'Content-Type: multipart/form-data; boundary=--------------------------687058231513459413708701' \
--form 'image=@"/Users/robertmaxwell/code/zstp/AutoCut/pic.png"' \
--form 'enable_error_detection="false"'
```

返回:

```json
{
    "data": {
        "crop_results": {
            "cropped_count": 14,
            "cropped_images": [
                {
                    "bbox": [
                        970,
                        69,
                        1909,
                        246
                    ],
                    "filename": "question_001.jpg",
                    "question_id": 1,
                    "vertical_id": 1
                },
                {
                    "bbox": [
                        41,
                        107,
                        970,
                        253
                    ],
                    "filename": "question_002.jpg",
                    "question_id": 2,
                    "vertical_id": 2
                },
                {
                    "bbox": [
                        970,
                        245,
                        1909,
                        479
                    ],
                    "filename": "question_003.jpg",
                    "question_id": 3,
                    "vertical_id": 3
                },
                {
                    "bbox": [
                        41,
                        254,
                        970,
                        394
                    ],
                    "filename": "question_004.jpg",
                    "question_id": 4,
                    "vertical_id": 4
                },
                {
                    "bbox": [
                        41,
                        395,
                        970,
                        506
                    ],
                    "filename": "question_005.jpg",
                    "question_id": 5,
                    "vertical_id": 5
                },
                {
                    "bbox": [
                        970,
                        480,
                        1909,
                        661
                    ],
                    "filename": "question_006.jpg",
                    "question_id": 6,
                    "vertical_id": 6
                },
                {
                    "bbox": [
                        41,
                        507,
                        970,
                        655
                    ],
                    "filename": "question_007.jpg",
                    "question_id": 7,
                    "vertical_id": 7
                },
                {
                    "bbox": [
                        41,
                        656,
                        970,
                        820
                    ],
                    "filename": "question_008.jpg",
                    "question_id": 8,
                    "vertical_id": 8
                },
                {
                    "bbox": [
                        970,
                        662,
                        1909,
                        904
                    ],
                    "filename": "question_009.jpg",
                    "question_id": 9,
                    "vertical_id": 9
                },
                {
                    "bbox": [
                        41,
                        821,
                        970,
                        968
                    ],
                    "filename": "question_010.jpg",
                    "question_id": 10,
                    "vertical_id": 10
                },
                {
                    "bbox": [
                        970,
                        905,
                        1909,
                        1183
                    ],
                    "filename": "question_011.jpg",
                    "question_id": 11,
                    "vertical_id": 11
                },
                {
                    "bbox": [
                        41,
                        969,
                        970,
                        1111
                    ],
                    "filename": "question_012.jpg",
                    "question_id": 12,
                    "vertical_id": 12
                },
                {
                    "bbox": [
                        41,
                        1112,
                        970,
                        1364
                    ],
                    "filename": "question_013.jpg",
                    "question_id": 13,
                    "vertical_id": 13
                },
                {
                    "bbox": [
                        970,
                        1184,
                        1909,
                        1364
                    ],
                    "filename": "question_014.jpg",
                    "question_id": 14,
                    "vertical_id": 14
                }
            ],
            "mode": "all_questions",
            "zip_url": "/download/20251125_082929_f1975f5c"
        },
        "error_count": 8,
        "error_details": [
            {
                "error_boxes": [
                    {
                        "bbox": [
                            1772,
                            678,
                            44,
                            44
                        ],
                        "class_name": "cuo",
                        "confidence": 0.7618222236633301
                    }
                ],
                "match_method": "中心点包含",
                "question_box": {
                    "bbox": [
                        970,
                        662,
                        939,
                        242
                    ]
                }
            },
            {
                "error_boxes": [
                    {
                        "bbox": [
                            1209,
                            163,
                            31,
                            32
                        ],
                        "class_name": "cuo",
                        "confidence": 0.7555574178695679
                    }
                ],
                "match_method": "中心点包含",
                "question_box": {
                    "bbox": [
                        970,
                        69,
                        939,
                        177
                    ]
                }
            },
            {
                "error_boxes": [
                    {
                        "bbox": [
                            1225,
                            533,
                            46,
                            44
                        ],
                        "class_name": "cuo",
                        "confidence": 0.7304249405860901
                    }
                ],
                "match_method": "中心点包含",
                "question_box": {
                    "bbox": [
                        970,
                        480,
                        939,
                        181
                    ]
                }
            },
            {
                "error_boxes": [
                    {
                        "bbox": [
                            797,
                            827,
                            40,
                            42
                        ],
                        "class_name": "cuo",
                        "confidence": 0.7287607192993164
                    }
                ],
                "match_method": "中心点包含",
                "question_box": {
                    "bbox": [
                        41,
                        821,
                        929,
                        147
                    ]
                }
            },
            {
                "error_boxes": [
                    {
                        "bbox": [
                            1299,
                            363,
                            33,
                            33
                        ],
                        "class_name": "cuo",
                        "confidence": 0.7262661457061768
                    }
                ],
                "match_method": "中心点包含",
                "question_box": {
                    "bbox": [
                        970,
                        245,
                        939,
                        234
                    ]
                }
            },
            {
                "error_boxes": [
                    {
                        "bbox": [
                            1226,
                            1028,
                            36,
                            36
                        ],
                        "class_name": "cuo",
                        "confidence": 0.7171130776405334
                    }
                ],
                "match_method": "中心点包含",
                "question_box": {
                    "bbox": [
                        970,
                        905,
                        939,
                        278
                    ]
                }
            },
            {
                "error_boxes": [
                    {
                        "bbox": [
                            814,
                            1116,
                            36,
                            37
                        ],
                        "class_name": "cuo",
                        "confidence": 0.7121084332466125
                    }
                ],
                "match_method": "中心点包含",
                "question_box": {
                    "bbox": [
                        41,
                        1112,
                        929,
                        252
                    ]
                }
            },
            {
                "error_boxes": [
                    {
                        "bbox": [
                            793,
                            127,
                            39,
                            30
                        ],
                        "class_name": "xie",
                        "confidence": 0.5237091183662415
                    }
                ],
                "match_method": "中心点包含",
                "question_box": {
                    "bbox": [
                        41,
                        107,
                        929,
                        146
                    ]
                }
            }
        ],
        "error_symbol_count": 8,
        "question_count": 14,
        "session_id": "20251125_082929_f1975f5c",
        "visualization_images": {
            "error_symbols": "/visualizations/20251125_082929_f1975f5c/error_symbols.jpg",
            "matched_errors": "/visualizations/20251125_082929_f1975f5c/matched_errors.jpg",
            "questions": "/visualizations/20251125_082929_f1975f5c/questions.jpg"
        }
    },
    "success": true
}
```

被切割后的图片拼接方式:

`https://ekt1.suzhou.edu.cn/autocut/files/<session_id>/<filename>`

 如上图,则被切割了14个图片:

```

https://ekt1.suzhou.edu.cn/autocut/files/20251125_082929_f1975f5c/question_001.jpg
https://ekt1.suzhou.edu.cn/autocut/files/20251125_082929_f1975f5c/question_002.jpg
https://ekt1.suzhou.edu.cn/autocut/files/20251125_082929_f1975f5c/question_003.jpg
…………
…………
https://ekt1.suzhou.edu.cn/autocut/files/20251125_082929_f1975f5c/question_014.jpg
```

question_id 也需要记录。其他字段忽略.

返回错误包括:只支持图片格式:
{
    "message": "不支持的文件格式",
    "success": false
}

字段缺失或错误:
{
    "message": "没有上传图片文件",
    "success": false
}

### 2. ocr api：

输入：上面的切割试卷api所生成的url；
输出：markdown形式的带有数学公式的题目文本内容。
大模型api地址：https://ekt1.suzhou.edu.cn/llm/v1/chat/completions
openai兼容格式
模型名称：qwen-vl，是一个VL模型。
上传需要先把url解析成base64。模型不能直接识别url。
设定温度为0；
设定提示词是：
```
你是一名数学文字识别专家。你的任务是，将图片中的文字，严格转换为markdown格式的文字；如图中有数学公式，你必须使用$或者$$进行包裹，生成markdown可解析的latex格式的数学公式；你无需输出其他任何解释性文字，只需严格输出图片中的文字。
```
输入示例：

`POST: https://ekt1.suzhou.edu.cn/llm/v1/chat/completions` 
`HEADER:  Authonrization: Bearer sk-PqY5sI1od5Hbl6hVsniLDp7G0DOOBlUzE8E22p8HdVSTM5Rs`


```json
{
    "model": "qwen-vl",
    "messages": [
        {
            "role": "system",
            "content": "你是一名数学图片文字识别专家。"
        },
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "你的任务是，将图片中的文字，严格转换为markdown格式的文字；如图中有数学公式，你必须使用$或者$$进行包裹，生成markdown可解析的latex格式的数学公式；你无需输出其他任何解释性文字，只需严格输出图片中的文字。"
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABfYAAAGCCAIAAAAt4wW+AAAACXBIWXMAAAsTAAALEwEAm==CC"
                    }
                }
            ]
        }
    ],
    "temperature": 0
}
```


输出格式：
```json
{
    "id": "chatcmpl-08cc11398014472fa86bd8cbdb2ded8b",
    "object": "chat.completion",
    "created": 1764146440,
    "model": "qwen-vl",
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "12. 已知集合 $A=\\{1, 2, 4, 8\\}$, $B=\\{z|z=xy, x \\in A, y \\in A\\}$, 则下列四个结论正确的是 ( $\\not A B$ )\n\nA. $A \\nsubseteq B$\n\nB. $\\{1, 4, 16, 64\\} \\subseteq B$\n\nC. 集合 $B$ 中元素的个数为 8\n\nD. 集合 $B$ 的真子集的个数为 127",
                "refusal": null,
                "annotations": null,
                "audio": null,
                "function_call": null,
                "tool_calls": [],
                "reasoning_content": null
            },
            "logprobs": null,
            "finish_reason": "stop",
            "stop_reason": null
        }
    ],
    "service_tier": null,
    "system_fingerprint": null,
    "usage": {
        "prompt_tokens": 841,
        "total_tokens": 972,
        "completion_tokens": 131,
        "prompt_tokens_details": null
    },
    "prompt_logprobs": null,
    "kv_transfer_params": null
}

```

 "content": 这里面的文字就是ocr的结果。

### 3. 题目分析api：

- **请求方式:** POST
    
- **请求URL**:`  https://aimaster.apps.k8s.aiscenes.cn/dev-api/aimaster/scenario/open/api`
    
    `https://aimaster.apps.k8s.aiscenes.cn/`为域名
    
    /dev-api/ 是测试环境, 目前只有测试环境
    
    /aimaster/scenario/open/api 为固定后缀
    
- **request**:
    
    header参数说明:


|字段名|类型|说明|
|---|---|---|
|Authorization|String|token登录获取,给固定值Bearer W/cbr9kftZmnpOqxAfiLvRVZx2+9Lf6X9I9FS+t0zK4=|
||||

样例:

Authorization:Bearer W/cbr9kftZmnpOqxAfiLvRVZx2+9Lf6X9I9FS+t0zK4=

body参数说明:

|字段名|类型|说明|
|---|---|---|
|chatId|String|对话主键,uuid自己生成,同一个id表示一次对话|
|scenarioInfoId|String|场景中心主键|
|latestMessageContent|String|用户最后一次提问|
|params|Object|应用的自定义参数,|
    
    样例:
  ```json
  {

  "latestMessageContent": "分析这道数学题：f(x)=2x^2的单调性",

  "chatId": "706e73c3694146f2b703d0da2c4cd95b",

  "params": {

	"userId": ""

  },

  "scenarioInfoId": "e6e822e47fa24ca380f8d2d09eb114a7"

}
  ``` 

    
- **response**
    
    1. **流式传输**：采用`data:` 前缀+JSON对象的分块传输格式
        
    
    样例:
    
    ​
    ```
    data: {"id":"AI Master","choices":[{"delta":{"content":null,"function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741340356,"model":"ai-master","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":null,"usage":null,"step":null,"agent_step":"Agent Start","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"","function_call":null,"refusal":null,"role":"assistant","tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Start","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"@","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"企业","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"变","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"更","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"助手","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":" 企业","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"迁","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"址","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"所","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"需","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"材料","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
    data: {"id":"chatcmpl-B8PGrW9oyk1P3EiKUHwffLhIxpVg6","choices":[{"delta":{"content":"的","function_call":null,"refusal":null,"role":null,"tool_calls":null},"finish_reason":null,"index":0,"logprobs":null}],"created":1741343465,"model":"gpt-4o-2024-11-20","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":"fp_b705f0c291","usage":null,"step":"AI Starting","agent_step":"Agent Starting","agent_id":"d9bdca85-6dce-4dc9-833a-9b3c15a4603b","agent_name":"企业办事指南","function":null}
    
    ​
    
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## 前端API

> 前端api是