import os
import gradio as gr
import spaces
import fitz
import docx
from huggingface_hub import InferenceClient

# 1. 引擎配置与强制授权
# 关键修复：headers 在此处传入
hf_token = os.getenv("HF_TOKEN")
model_id = "MiniMaxAI/MiniMax-M2.5"

client = InferenceClient(
    model=model_id, 
    token=hf_token,
    headers={"Authorization": f"Bearer {hf_token}"} if hf_token else None
)

def extract_text(file_path):
    if not file_path: return ""
    try:
        ext = str(file_path).lower()
        if ext.endswith(".pdf"):
            doc = fitz.open(file_path)
            text = "".join([page.get_text() for page in doc])
            doc.close()
            return text[:15000]
        elif ext.endswith(".docx"):
            doc = docx.Document(file_path)
            return "\n".join([p.text for p in doc.paragraphs])[:15000]
        elif ext.endswith(".txt"):
            with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
                return f.read()[:15000]
        return ""
    except:
        return ""

@spaces.GPU(duration=60)
def chat_fn(message, history):
    # 彻底压扁历史记录
    clean_messages = []
    for turn in history:
        clean_messages.append({"role": turn["role"], "content": str(turn["content"])})
    
    prompt_text = message.get("text", "")
    files = message.get("files", [])
    
    if files:
        f = files[0]
        file_path = f.get("path") if isinstance(f, dict) else f
        context = extract_text(file_path)
        if context:
            prompt_text = f"【参考文档】:\n{context}\n\n【用户指令】: {prompt_text}"
        
    clean_messages.append({"role": "user", "content": prompt_text})

    response = ""
    try:
        # 修复：移除 chat_completion 里的 headers 参数
        stream = client.chat_completion(
            clean_messages, 
            max_tokens=2048, 
            stream=True, 
            temperature=0.7
        )
        
        for msg in stream:
            if hasattr(msg, 'choices') and len(msg.choices) > 0:
                delta = msg.choices[0].delta
                if hasattr(delta, 'content') and delta.content:
                    response += delta.content
                    yield response
        
        if response:
            yield response + "\n\n---\n> **Powered by OpenIPOS Global 算力节点 | 访问 api.openipos.com 获取私有部署**"
            
    except Exception as e:
        yield f"⚠️ 算力调度提示: {str(e)}。由于万亿级模型访问量大，若持续报错请检查 Token 权限。"

# 3. 极简黑金 UI
with gr.Blocks(fill_height=True) as demo:
    gr.HTML("""
        <div style="display: flex; align-items: center; gap: 20px; padding: 10px;">
            <img src="https://s3.bmp.ovh/2026/03/30/rIAGKg0O.png" style="height: 60px; width: auto;">
            <div>
                <h1 style="margin: 0; font-size: 24px;">OpenIPOS MegaNode</h1>
                <p style="margin: 0; color: #666;">中文精品人工智能算力出口 (MiniMax-M2.5)</p>
            </div>
        </div>
    """)
    gr.ChatInterface(chat_fn, multimodal=True)
    gr.Markdown("© 2026 OpenIPOS Global Limited. 算力驱动：Hugging Face Inference Providers")

demo.launch(theme=gr.themes.Soft())