import logging
import os
import uuid
from typing import List

from fastapi import APIRouter, UploadFile, File, Form, HTTPException
import shutil
from starlette.concurrency import run_in_threadpool
from setting import UPLOAD_DIR
import service.ai_image_ollama as ai_image

logger = logging.getLogger(__name__)

# 创建路由对象，可以统一设置前缀 (prefix) 和 标签 (tags)
router = APIRouter(
    prefix="/api1/image",
    tags=["video"]
)

@router.post("/analyze")
async def upload_image(
        file: UploadFile = File(...),
        prompts: List[str] = Form(...)
):
    if not file:
        raise HTTPException(status_code=400, detail="文件不能为空")

    if not prompts:
        raise HTTPException(status_code=400, detail="Prompts 不能为空")

    task_id = str(uuid.uuid4())[:8]
    ext = file.filename.split('.')[-1]
    save_filename = f"{task_id}.{ext}"
    save_path = os.path.join(UPLOAD_DIR, save_filename)

    # 异步保存文件
    def save_file():
        with open(save_path, "wb") as buffer:
            shutil.copyfileobj(file.file, buffer)
    await run_in_threadpool(save_file)

    try:
        # 读取字节流进行 AI 处理
        with open(save_path, 'rb') as f:
            image_bytes = f.read()
            result = ai_image.describe_image(prompts, image_bytes)
            return {
                "task_id": task_id,
                "model_name": result['model_name'],
                "image_url": f"/api1/file/image/{save_filename}",
                "results": result['results']
            }
    except Exception as e:
        # 记录日志并抛出错误
        raise HTTPException(status_code=500, detail=f"AI 推理失败: {str(e)}")