from typing import Any, List, Dict
from openai import AsyncOpenAI
import json
from src.backend.app.utils.exceptions import SiliconFlowAPIException
from openai.types.chat import ChatCompletionSystemMessageParam, ChatCompletionUserMessageParam

class AIService:
    def __init__(self, api_key: str, api_url: str):
        self.client = AsyncOpenAI(api_key=api_key, base_url=api_url)

    async def parse_command(self, command: str, devices: List[Dict]) -> Dict[str, Any]:
        """
        针对一组设备和一条自然语言命令，生成每台设备的配置 JSON
        """
        devices_str = json.dumps(devices, ensure_ascii=False, indent=2)

        example = """[{"device": {"name": "sw1","ip": "192.168.1.10","vendor": "huawei","username": "NONE", "password": "Huawei"},"config": {"type": "vlan","vlan_id": 300,"name": "Sales","commands": ["system-view","vlan 300","name Sales","quit","quit","save","Y"]}}]"""

        prompt = f"""
你是一个网络设备配置专家。现在有以下设备：
{devices_str}

用户输入了一条命令：{command}

你的任务：
- 为每台设备分别生成配置
- 输出一个 JSON 数组，每个元素对应一台设备
- 每个对象必须包含:
    - device: 原始设备信息 (name, ip, vendor,username,password)
    - config: 配置详情
        - type: 配置类型 (如 vlan/interface/acl/route)
        - commands: 可直接执行的命令数组 (必须包含进入配置、退出、保存命令)
        - 其他字段: 根据配置类型动态添加
- 严格返回 JSON，不要包含解释说明或 markdown

各厂商保存命令规则：
- 华为: system-view → quit → save Y
- 思科: enable → configure terminal → exit → write memory
- H3C: system-view → quit → save
- 锐捷: enable → configure terminal → exit → write
- 中兴: enable → configure terminal → exit → write memory

返回示例（仅作为格式参考，不要照抄 VLAN ID 和命令内容，请根据实际命令生成）：{example}
"""

        messages = [
            ChatCompletionSystemMessageParam(role="system", content=prompt),
            ChatCompletionUserMessageParam(role="user", content=command)
        ]

        try:
            response = await self.client.chat.completions.create(
                model="deepseek-ai/DeepSeek-V3",
                messages=messages,
                temperature=0.2,
                max_tokens=1500,
                response_format={"type": "json_object"}
            )

            config_str = response.choices[0].message.content.strip()
            configs = json.loads(config_str)

            return {"success": True, "results": configs}

        except Exception as e:
            raise SiliconFlowAPIException(
                detail=f"AI 解析配置失败: {str(e)}",
                status_code=getattr(e, "status_code", 500)
            )