> ## Documentation Index
> Fetch the complete documentation index at: https://docs-docflow.textin.com/llms.txt
> Use this file to discover all available pages before exploring further.

# 仅使用分类

Docflow 默认会进行完整的 解析->分类->抽取 流程。\
如果按照业务需求只想要分类结果，可以在上传接口中加入`target_process=classify`参数，流程就会在完成分类后终止，跳过抽取过程。

## 上传文件进行仅分类

<CodeGroup>
  ```bash curl icon=terminal wrap theme={null}
  curl -X POST \
    -H "x-ti-app-id: <your-app-id>" \
    -H "x-ti-secret-code: <your-secret-code>" \
    -F "file=@/path/to/your/file.pdf" \
    "https://docflow.textin.com/api/app-api/sip/platform/v2/file/upload?workspace_id=<your-workspace-id>&target_process=classify"
  ```

  ```python Python icon=python expandable lines theme={null}
  import requests
  from requests_toolbelt.multipart.encoder import MultipartEncoder
  import os

  ti_app_id = "<your-app-id>"
  ti_secret_code = "<your-secret-code>"
  workspace_id = "<your-workspace-id>"
  filepath = "/path/to/your/file.pdf"

  host = "https://docflow.textin.com"
  url = "/api/app-api/sip/platform/v2/file/upload"

  mime_type = "application/pdf"
  if filepath.lower().endswith((".jpg", ".jpeg", ".png")):
      mime_type = "image/jpeg"

  payload = MultipartEncoder(fields={
      "file": (os.path.basename(filepath), open(filepath, "rb"), mime_type)
  })

  resp = requests.post(
      url=f"{host}{url}",
      params={
          "workspace_id": workspace_id,
          "target_process": "classify"
      },
      data=payload.to_string(),
      headers={
          "Content-Type": payload.content_type,
          "x-ti-app-id": ti_app_id,
          "x-ti-secret-code": ti_secret_code,
      },
      timeout=60,
  )

  print(resp.status_code, resp.text)
  ```
</CodeGroup>

## 查询分类结果

使用 `file/fetch` 接口查询分类结果：

<CodeGroup>
  ```bash curl icon=terminal wrap theme={null}
  curl \
    -H "x-ti-app-id: <your-app-id>" \
    -H "x-ti-secret-code: <your-secret-code>" \
    "https://docflow.textin.com/api/app-api/sip/platform/v2/file/fetch?workspace_id=<your-workspace-id>&file_id=<your-file-id>"
  ```

  ```python Python icon=python expandable lines theme={null}
  import requests

  resp = requests.get(
      "https://docflow.textin.com/api/app-api/sip/platform/v2/file/fetch",
      params={
          "workspace_id": "<your-workspace-id>",
          "file_id": "<your-file-id>",
      },
      headers={"x-ti-app-id": "<your-app-id>", "x-ti-secret-code": "<your-secret-code>"},
      timeout=60,
  )

  data = resp.json()
  for f in data.get("result", {}).get("files", []):
      print(f"文件ID: {f['id']}")
      print(f"文件名: {f.get('name')}")
      print(f"分类结果: {f.get('category')}")
      print(f"识别状态: {f.get('recognition_status')}")
  ```
</CodeGroup>

## 仅分类时的 recognition\_status 状态说明

当使用 `target_process=classify` 进行仅分类时，`recognition_status` 字段会有以下状态变化：

### 状态值说明

* `0` - 待识别：文件刚上传，等待处理
* `3` - 分类中：正在进行分类处理
* `10` - 分类完成：**仅分类流程的最终状态**，表示分类已完成，不会进行抽取
* `2` - 分类失败：分类过程中出现错误

### 与完整流程的区别

\*\*完整流程（默认）\*\*的状态变化：

* `0` → `3` → `4` → `1`（待识别 → 分类中 → 抽取中 → 识别成功）

**仅分类流程**的状态变化：

* `0` → `3` → `10`（待识别 → 分类中 → 分类完成）

### 返回示例

```json expandable theme={null}
{
  "code": 200,
  "result": {
    "files": [
      {
        "id": "202412190001",
        "name": "invoice.pdf",
        "category": "invoice",
        "recognition_status": 10,
        "data": null
      }
    ]
  }
}
```