"""
Vcore AI 网络客户端

负责处理底层的 HTTP 请求、连接池管理和重试逻辑。
包含 Google Recaptcha Token 现抓现用逻辑。
"""

import asyncio
import contextlib
import random
import re
from urllib.parse import parse_qs, urlparse
from bs4 import BeautifulSoup
from typing import Any, AsyncGenerator, Optional
from curl_cffi import requests
from curl_cffi.requests import Response
from src.core.config import load_config
from src.utils.logger import get_logger

logger = get_logger(__name__)

def _random_string(length: int) -> str:
    return "".join(random.choice("abcdefghijklmnopqrstuvwxyz0123456789") for _ in range(length))

class NetworkClient:
    """底层网络客户端"""
    
    def __init__(self):
        self.config = load_config()
        self.recaptcha_base_api = "https://www.google.com"
        self.browser_targets = ["chrome124", "chrome131"]
        logger.debug(f"NetworkClient 初始化完成")

    async def close(self):
        pass # 已改为即用即毁，无需全局清理

    def _get_imp(self) -> str:
        return random.choice(self.browser_targets)

    async def fetch_recaptcha_token(self, session: requests.AsyncSession) -> Optional[str]:
        """获取一次 Google Recaptcha Token。

        重试预算由单节点协程统一管理；这里不再做固定 3 次内部重试。
        """
        random_cb = _random_string(10)
        anchor_url = f"{self.recaptcha_base_api}/recaptcha/enterprise/anchor?ar=1&k=6LdCjtspAAAAAMcV4TGdWLJqRTEk1TfpdLqEnKdj&co=aHR0cHM6Ly9jb25zb2xlLmNsb3VkLmdvb2dsZS5jb206NDQz&hl=zh-CN&v=ne1iDVwClkE7nKD3uA9Vqsvl&size=invisible&anchor-ms=20000&execute-ms=15000&cb={random_cb}"
        reload_url = f"{self.recaptcha_base_api}/recaptcha/enterprise/reload?k=6LdCjtspAAAAAMcV4TGdWLJqRTEk1TfpdLqEnKdj"

        try:
            anchor_response = await session.get(anchor_url, timeout=15)
            soup = BeautifulSoup(anchor_response.text, "html.parser")
            token_element = soup.find("input", {"id": "recaptcha-token"})
            if token_element is None:
                logger.warning("anchor_html 未找到 token 元素")
                return None

            base_recaptcha_token = str(token_element.get("value"))

            parsed = urlparse(anchor_url)
            params = parse_qs(parsed.query)
            payload = {
                "v": params["v"][0], "reason": "q", "k": params["k"][0],
                "c": base_recaptcha_token, "co": params["co"][0],
                "hl": params["hl"][0], "size": "invisible",
                "vh": "6581054572", "chr": "", "bg": "",
            }
            headers = {"Content-Type": "application/x-www-form-urlencoded"}

            reload_response = await session.post(
                reload_url, data=payload, headers=headers, timeout=15
            )

            match = re.search(r'rresp","(.*?)"', reload_response.text)
            if not match:
                logger.warning("未找到 rresp")
                return None

            final_token = match.group(1)
            logger.debug("成功获取 Recaptcha Token")
            return final_token
        except Exception as e:
            with contextlib.suppress(Exception):
                setattr(session, "_vcore_proxy_last_recaptcha_error", str(e))
            logger.debug(f"获取 recaptcha_token 失败: {e}")
            return None

    def create_session(self) -> requests.AsyncSession:
        """创建一个直连且带有随机伪装指纹的 Session。"""
        imp = self._get_imp()
        logger.debug(f"创建直连 Session (指纹: {imp})")
        return requests.AsyncSession(impersonate=imp, proxy=None)

    def create_session_with_proxy(self, proxy_url: Optional[str]) -> requests.AsyncSession:
        """创建使用指定代理的独立 Session，用于并行节点请求。"""
        imp = self._get_imp()
        logger.debug(f"创建节点专用 Session (指纹: {imp}, 代理: {proxy_url or '直连'})")
        return requests.AsyncSession(impersonate=imp, proxy=proxy_url)

    async def post_request(self, session: requests.AsyncSession, url: str, headers: dict[str, str], json_data: dict[str, Any]) -> Response:
        """发送非流式 POST 请求 (复用 Session)"""
        try:
            return await session.post(url=url, headers=headers, json=json_data, timeout=180.0)
        except asyncio.CancelledError:
            logger.debug("非流式网络请求被取消，立即关闭上游 Session")
            try:
                await session.close()
            except Exception as close_error:
                logger.debug(f"取消非流式请求时关闭 Session 失败: {close_error}")
            raise
        except Exception as e:
            logger.debug(f"非流式网络请求异常: {e}")
            raise

    async def stream_request(
        self,
        session: requests.AsyncSession,
        method: str,
        url: str,
        headers: dict[str, str],
        json_data: dict[str, Any],
    ) -> AsyncGenerator[Response, None]:
        """发送流式请求 (复用 Session)，响应首包后由调用方直接转发底层结果。"""
        try:
            response = await session.request(
                method=method, url=url, headers=headers, json=json_data, timeout=180.0, stream=True
            )
            yield response
        except asyncio.CancelledError:
            logger.debug("流式网络请求被取消，立即关闭上游 Session")
            try:
                await session.close()
            except Exception as close_error:
                logger.debug(f"取消流式请求时关闭 Session 失败: {close_error}")
            raise
        except Exception as e:
            logger.debug(f"网络请求异常: {e}")
            raise
        # 注意：这里不再主动关闭 response，由调用方在读取完流后处理，或者随 session 销毁