#!/usr/bin/env python3
import os
import sys
import sqlite3
import requests
from datetime import datetime

# 设置数据库路径和百炼API端点
DB_PATH = "/app/server/data/freeapi.db"
BAILIAN_URL = "https://dashscope.aliyuncs.com/compatible-mode/v1/models"

def main():
    # 获取百炼的API Key
    api_key = os.getenv("BAILIAN_API_KEY")
    if not api_key:
        print("❌ 错误: 环境变量 BAILIAN_API_KEY 未设置")
        return 1

    # 调用百炼API获取模型列表
    headers = {"Authorization": f"Bearer {api_key}"}
    try:
        response = requests.get(BAILIAN_URL, headers=headers, timeout=30)
        response.raise_for_status()
        models_data = response.json()
        # 假设返回的JSON结构与 OpenAI 兼容模式一致，即包含一个 'data' 列表
        models_list = [item["id"] for item in models_data.get("data", [])]
        if not models_list:
            print("⚠️ 警告: 未能从API获取到任何模型。")
            return 1
    except Exception as e:
        print(f"❌ 请求百炼API失败: {e}")
        return 1

    # 连接数据库
    try:
        conn = sqlite3.connect(DB_PATH)
        cursor = conn.cursor()
    except Exception as e:
        print(f"❌ 无法连接数据库: {e}")
        return 1

    # 同步模型列表
    added_count = 0
    for model_id in models_list:
        # 检查模型是否已存在
        cursor.execute("SELECT 1 FROM models WHERE id = ?", (model_id,))
        if not cursor.fetchone():
            cursor.execute("INSERT INTO models (id, name, provider_id, enabled, created_at) VALUES (?, ?, ?, 1, ?)",
                           (model_id, model_id, 1, datetime.utcnow().isoformat()))
            added_count += 1
            print(f"➕ 添加模型: {model_id}")
        else:
            print(f"⏭️ 模型已存在: {model_id}")

    conn.commit()
    conn.close()
    print(f"✅ 同步完成。新增模型数量: {added_count}")
    return 0

if __name__ == "__main__":
    sys.exit(main())