仅使用分类

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)

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')}")