Agent/agent/tools/builtin/browser/baseClass.py

"""
Browser-Use 原生工具适配器
Native Browser-Use Tools Adapter

直接使用 browser-use 的原生类（BrowserSession, Tools）实现所有浏览器操作工具。
不依赖 Playwright，完全基于 CDP 协议。

核心特性：
1. 浏览器会话持久化 - 只启动一次浏览器
2. 状态自动保持 - 登录状态、Cookie、LocalStorage 等
3. 完整的底层访问 - 可以直接使用 CDP 协议
4. 性能优异 - 避免频繁创建/销毁浏览器实例

使用方法：
1. 在 Agent 初始化时调用 init_browser_session()
2. 使用各个工具函数执行浏览器操作
3. 任务结束时调用 cleanup_browser_session()
"""

import sys
import os
import json
import asyncio
from typing import Optional, List, Dict, Any, Tuple
from pathlib import Path
from urllib.parse import urlparse

# 将项目根目录添加到 Python 路径
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

# 导入框架的工具装饰器和结果类
from agent.tools import tool, ToolResult
from agent.tools.builtin.browser.sync_mysql_help import mysql

# 导入 browser-use 的核心类
from browser_use import BrowserSession, BrowserProfile
from browser_use.tools.service import Tools
from browser_use.agent.views import ActionResult
from browser_use.filesystem.file_system import FileSystem

# ============================================================
# 全局浏览器会话管理
# ============================================================

# 全局变量：浏览器会话和工具实例
_browser_session: Optional[BrowserSession] = None
_browser_tools: Optional[Tools] = None
_file_system: Optional[FileSystem] = None


async def init_browser_session(
    headless: bool = False,
    user_data_dir: Optional[str] = None,
    profile_name: str = "default",
    browser_profile: Optional[BrowserProfile] = None,
    use_cloud: bool = False,
    **kwargs
) -> tuple[BrowserSession, Tools]:
    """
    初始化全局浏览器会话

    Args:
        headless: 是否无头模式
        user_data_dir: 用户数据目录（用于保存登录状态）
        profile_name: 配置文件名称
        browser_profile: BrowserProfile 对象（用于预设 cookies 等）
        use_cloud: 是否使用云浏览器（默认 False，使用本地浏览器）
        **kwargs: 其他 BrowserSession 参数

    Returns:
        (BrowserSession, Tools) 元组
    """
    global _browser_session, _browser_tools, _file_system

    if _browser_session is not None:
        return _browser_session, _browser_tools

    # 设置用户数据目录（持久化登录状态）
    if user_data_dir is None and profile_name and not use_cloud:
        user_data_dir = str(Path.home() / ".browser_use" / "profiles" / profile_name)
        Path(user_data_dir).mkdir(parents=True, exist_ok=True)

    # 创建浏览器会话
    session_params = {
        "headless": headless,
    }

    if use_cloud:
        # 云浏览器模式
        session_params["use_cloud"] = True
        print("🌐 使用云浏览器模式")
    else:
        # 本地浏览器模式
        session_params["is_local"] = True

        # macOS 上显式指定 Chrome 路径
        import platform
        if platform.system() == "Darwin":  # macOS
            chrome_path = "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome"
            if Path(chrome_path).exists():
                session_params["executable_path"] = chrome_path

        # 只在有值时才添加 user_data_dir
        if user_data_dir:
            session_params["user_data_dir"] = user_data_dir

    # 只在有值时才添加 browser_profile
    if browser_profile:
        session_params["browser_profile"] = browser_profile

    # 合并其他参数
    session_params.update(kwargs)

    _browser_session = BrowserSession(**session_params)

    # 启动浏览器
    await _browser_session.start()

    # 创建工具实例
    _browser_tools = Tools()

    # 创建文件系统实例（用于文件操作）
    base_dir = Path.cwd() / ".browser_use_files"
    base_dir.mkdir(parents=True, exist_ok=True)
    _file_system = FileSystem(base_dir=str(base_dir))

    return _browser_session, _browser_tools


async def get_browser_session() -> tuple[BrowserSession, Tools]:
    """
    获取当前浏览器会话，如果不存在则自动创建

    Returns:
        (BrowserSession, Tools) 元组
    """
    global _browser_session, _browser_tools

    if _browser_session is None:
        await init_browser_session()

    return _browser_session, _browser_tools


async def cleanup_browser_session():
    """
    清理浏览器会话
    优雅地停止浏览器但保留会话状态
    """
    global _browser_session, _browser_tools, _file_system

    if _browser_session is not None:
        await _browser_session.stop()
        _browser_session = None
        _browser_tools = None
        _file_system = None


async def kill_browser_session():
    """
    强制终止浏览器会话
    完全关闭浏览器进程
    """
    global _browser_session, _browser_tools, _file_system

    if _browser_session is not None:
        await _browser_session.kill()
        _browser_session = None
        _browser_tools = None
        _file_system = None


# ============================================================
# 辅助函数：ActionResult 转 ToolResult
# ============================================================

def action_result_to_tool_result(result: ActionResult, title: str = None) -> ToolResult:
    """
    将 browser-use 的 ActionResult 转换为框架的 ToolResult

    Args:
        result: browser-use 的 ActionResult
        title: 可选的标题（如果不提供则从 result 推断）

    Returns:
        ToolResult
    """
    if result.error:
        return ToolResult(
            title=title or "操作失败",
            output="",
            error=result.error,
            long_term_memory=result.long_term_memory or result.error
        )

    return ToolResult(
        title=title or "操作成功",
        output=result.extracted_content or "",
        long_term_memory=result.long_term_memory or result.extracted_content or "",
        metadata=result.metadata or {}
    )


def _cookie_domain_for_type(cookie_type: str, url: str) -> Tuple[str, str]:
    if cookie_type:
        key = cookie_type.lower()
        if key in {"xiaohongshu", "xhs"}:
            return ".xiaohongshu.com", "https://www.xiaohongshu.com"
    parsed = urlparse(url or "")
    domain = parsed.netloc or ""
    domain = domain.replace("www.", "")
    if domain:
        domain = f".{domain}"
    base_url = f"{parsed.scheme}://{parsed.netloc}" if parsed.scheme and parsed.netloc else url
    return domain, base_url


def _parse_cookie_string(cookie_str: str, domain: str, url: str) -> List[Dict[str, Any]]:
    cookies: List[Dict[str, Any]] = []
    if not cookie_str:
        return cookies
    parts = cookie_str.split(";")
    for part in parts:
        if not part:
            continue
        if "=" not in part:
            continue
        name, value = part.split("=", 1)
        cookie = {
            "name": str(name).strip(),
            "value": str(value).strip(),
            "domain": domain,
            "path": "/",
            "expires": -1,
            "httpOnly": False,
            "secure": True,
            "sameSite": "None"
        }
        if url:
            cookie["url"] = url
        cookies.append(cookie)
    return cookies


def _normalize_cookies(cookie_value: Any, domain: str, url: str) -> List[Dict[str, Any]]:
    if cookie_value is None:
        return []
    if isinstance(cookie_value, list):
        return cookie_value
    if isinstance(cookie_value, dict):
        if "cookies" in cookie_value:
            return _normalize_cookies(cookie_value.get("cookies"), domain, url)
        if "name" in cookie_value and "value" in cookie_value:
            return [cookie_value]
        return []
    if isinstance(cookie_value, (bytes, bytearray)):
        cookie_value = cookie_value.decode("utf-8", errors="ignore")
    if isinstance(cookie_value, str):
        text = cookie_value.strip()
        if not text:
            return []
        try:
            parsed = json.loads(text)
        except Exception:
            parsed = None
        if parsed is not None:
            return _normalize_cookies(parsed, domain, url)
        return _parse_cookie_string(text, domain, url)
    return []


def _extract_cookie_value(row: Optional[Dict[str, Any]]) -> Any:
    if not row:
        return None
    # 优先使用 cookies 字段
    if "cookies" in row:
        return row["cookies"]
    # 兼容其他可能的字段名
    for key, value in row.items():
        if "cookie" in key.lower():
            return value
    return None


def _fetch_cookie_row(cookie_type: str) -> Optional[Dict[str, Any]]:
    if not cookie_type:
        return None
    try:
        return mysql.fetchone(
            "select * from agent_channel_cookies where type=%s limit 1",
            (cookie_type,)
        )
    except Exception:
        return None


def _fetch_profile_id(cookie_type: str) -> Optional[str]:
    """从数据库获取 cloud_profile_id"""
    if not cookie_type:
        return None
    try:
        row = mysql.fetchone(
            "select profileId from agent_channel_cookies where type=%s limit 1",
            (cookie_type,)
        )
        if row and "profileId" in row:
            return row["profileId"]
        return None
    except Exception:
        return None


# ============================================================
# 导航类工具 (Navigation Tools)
# ============================================================

@tool()
async def navigate_to_url(url: str, new_tab: bool = False, uid: str = "") -> ToolResult:
    """
    导航到指定的 URL
    Navigate to a specific URL

    使用 browser-use 的原生导航功能，支持在新标签页打开。

    Args:
        url: 要访问的 URL 地址
        new_tab: 是否在新标签页中打开（默认 False）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含导航结果的工具返回对象

    Example:
        navigate_to_url("https://www.baidu.com")
        navigate_to_url("https://www.google.com", new_tab=True)
    """
    try:
        browser, tools = await get_browser_session()

        # 使用 browser-use 的 navigate 工具
        result = await tools.navigate(
            url=url,
            new_tab=new_tab,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"导航到 {url}")

    except Exception as e:
        return ToolResult(
            title="导航失败",
            output="",
            error=f"Failed to navigate to {url}: {str(e)}",
            long_term_memory=f"导航到 {url} 失败"
        )


@tool()
async def search_web(query: str, engine: str = "google", uid: str = "") -> ToolResult:
    """
    使用搜索引擎搜索
    Search the web using a search engine

    Args:
        query: 搜索关键词
        engine: 搜索引擎 (google, duckduckgo, bing) - 默认: google
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 搜索结果

    Example:
        search_web("Python async programming", engine="google")
    """
    try:
        browser, tools = await get_browser_session()

        # 使用 browser-use 的 search 工具
        result = await tools.search(
            query=query,
            engine=engine,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"搜索: {query}")

    except Exception as e:
        return ToolResult(
            title="搜索失败",
            output="",
            error=f"Search failed: {str(e)}",
            long_term_memory=f"搜索 '{query}' 失败"
        )


@tool()
async def go_back(uid: str = "") -> ToolResult:
    """
    返回到上一个页面
    Go back to the previous page

    模拟浏览器的"后退"按钮功能。

    Args:
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含返回操作结果的工具返回对象
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.go_back(browser_session=browser)

        return action_result_to_tool_result(result, "返回上一页")

    except Exception as e:
        return ToolResult(
            title="返回失败",
            output="",
            error=f"Failed to go back: {str(e)}",
            long_term_memory="返回上一页失败"
        )


@tool()
async def wait(seconds: int = 3, uid: str = "") -> ToolResult:
    """
    等待指定的秒数
    Wait for a specified number of seconds

    用于等待页面加载、动画完成或其他异步操作。

    Args:
        seconds: 等待时间（秒），最大30秒
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含等待操作结果的工具返回对象

    Example:
        wait(5)  # 等待5秒
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.wait(seconds=seconds, browser_session=browser)

        return action_result_to_tool_result(result, f"等待 {seconds} 秒")

    except Exception as e:
        return ToolResult(
            title="等待失败",
            output="",
            error=f"Failed to wait: {str(e)}",
            long_term_memory="等待失败"
        )


# ============================================================
# 元素交互工具 (Element Interaction Tools)
# ============================================================

@tool()
async def click_element(index: int, uid: str = "") -> ToolResult:
    """
    通过索引点击页面元素
    Click an element by index

    Args:
        index: 元素索引（从浏览器状态中获取）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含点击操作结果的工具返回对象

    Example:
        click_element(index=5)

    Note:
        需要先通过 get_selector_map 获取页面元素索引
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.click(
            index=index,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"点击元素 {index}")

    except Exception as e:
        return ToolResult(
            title="点击失败",
            output="",
            error=f"Failed to click element {index}: {str(e)}",
            long_term_memory=f"点击元素 {index} 失败"
        )


@tool()
async def input_text(index: int, text: str, clear: bool = True, uid: str = "") -> ToolResult:
    """
    在指定元素中输入文本
    Input text into an element

    Args:
        index: 元素索引（从浏览器状态中获取）
        text: 要输入的文本内容
        clear: 是否先清除现有文本（默认 True）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含输入操作结果的工具返回对象

    Example:
        input_text(index=0, text="Hello World", clear=True)
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.input(
            index=index,
            text=text,
            clear=clear,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"输入文本到元素 {index}")

    except Exception as e:
        return ToolResult(
            title="输入失败",
            output="",
            error=f"Failed to input text into element {index}: {str(e)}",
            long_term_memory=f"输入文本失败"
        )


@tool()
async def send_keys(keys: str, uid: str = "") -> ToolResult:
    """
    发送键盘按键或快捷键
    Send keyboard keys or shortcuts

    支持发送单个按键、组合键和快捷键。

    Args:
        keys: 要发送的按键字符串
              - 单个按键: "Enter", "Escape", "PageDown", "Tab"
              - 组合键: "Control+o", "Shift+Tab", "Alt+F4"
              - 功能键: "F1", "F2", ..., "F12"
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含按键操作结果的工具返回对象

    Example:
        send_keys("Enter")
        send_keys("Control+A")
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.send_keys(
            keys=keys,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"发送按键: {keys}")

    except Exception as e:
        return ToolResult(
            title="发送按键失败",
            output="",
            error=f"Failed to send keys: {str(e)}",
            long_term_memory="发送按键失败"
        )


@tool()
async def upload_file(index: int, path: str, uid: str = "") -> ToolResult:
    """
    上传文件到文件输入元素
    Upload a file to a file input element

    Args:
        index: 文件输入框的元素索引
        path: 要上传的文件路径（绝对路径）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含上传操作结果的工具返回对象

    Example:
        upload_file(index=7, path="/path/to/file.pdf")

    Note:
        文件必须存在且路径必须是绝对路径
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.upload_file(
            index=index,
            path=path,
            browser_session=browser,
            available_file_paths=[path],
            file_system=_file_system
        )

        return action_result_to_tool_result(result, f"上传文件: {path}")

    except Exception as e:
        return ToolResult(
            title="上传失败",
            output="",
            error=f"Failed to upload file: {str(e)}",
            long_term_memory=f"上传文件 {path} 失败"
        )


# ============================================================
# 滚动和视图工具 (Scroll & View Tools)
# ============================================================

@tool()
async def scroll_page(down: bool = True, pages: float = 1.0,
                     index: Optional[int] = None, uid: str = "") -> ToolResult:
    """
    滚动页面或元素
    Scroll the page or a specific element

    Args:
        down: True 向下滚动，False 向上滚动
        pages: 滚动页数（0.5=半页，1=全页，10=滚动到底部/顶部）
        index: 可选，滚动特定元素（如下拉框内部）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 滚动结果

    Example:
        scroll_page(down=True, pages=2.0)  # 向下滚动2页
        scroll_page(down=False, pages=1.0)  # 向上滚动1页
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.scroll(
            down=down,
            pages=pages,
            index=index,
            browser_session=browser
        )

        direction = "向下" if down else "向上"
        return action_result_to_tool_result(result, f"{direction}滚动 {pages} 页")

    except Exception as e:
        return ToolResult(
            title="滚动失败",
            output="",
            error=f"Failed to scroll: {str(e)}",
            long_term_memory="滚动失败"
        )


@tool()
async def find_text(text: str, uid: str = "") -> ToolResult:
    """
    查找页面中的文本并滚动到该位置
    Find text on the page and scroll to it

    在页面中搜索指定的文本，找到后自动滚动到该位置。

    Args:
        text: 要查找的文本内容
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含查找结果的工具返回对象

    Example:
        find_text("Privacy Policy")
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.find_text(
            text=text,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"查找文本: {text}")

    except Exception as e:
        return ToolResult(
            title="查找失败",
            output="",
            error=f"Failed to find text: {str(e)}",
            long_term_memory=f"查找文本 '{text}' 失败"
        )


@tool()
async def screenshot(uid: str = "") -> ToolResult:
    """
    请求在下次观察中包含页面截图
    Request a screenshot to be included in the next observation

    用于视觉检查页面状态，帮助理解页面布局和内容。

    Args:
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含截图请求结果的工具返回对象

    Example:
        screenshot()

    Note:
        截图会在下次页面观察时自动包含在结果中。
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.screenshot(browser_session=browser)

        return action_result_to_tool_result(result, "截图请求")

    except Exception as e:
        return ToolResult(
            title="截图失败",
            output="",
            error=f"Failed to capture screenshot: {str(e)}",
            long_term_memory="截图失败"
        )


# ============================================================
# 标签页管理工具 (Tab Management Tools)
# ============================================================

@tool()
async def switch_tab(tab_id: str, uid: str = "") -> ToolResult:
    """
    切换到指定标签页
    Switch to a different browser tab

    Args:
        tab_id: 4字符标签ID（target_id 的最后4位）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 切换结果

    Example:
        switch_tab(tab_id="a3f2")
    """
    try:
        browser, tools = await get_browser_session()

        normalized_tab_id = tab_id[-4:] if tab_id else tab_id
        result = await tools.switch(
            tab_id=normalized_tab_id,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"切换到标签页 {normalized_tab_id}")

    except Exception as e:
        return ToolResult(
            title="切换标签页失败",
            output="",
            error=f"Failed to switch tab: {str(e)}",
            long_term_memory=f"切换到标签页 {tab_id} 失败"
        )


@tool()
async def close_tab(tab_id: str, uid: str = "") -> ToolResult:
    """
    关闭指定标签页
    Close a browser tab

    Args:
        tab_id: 4字符标签ID
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 关闭结果

    Example:
        close_tab(tab_id="a3f2")
    """
    try:
        browser, tools = await get_browser_session()

        normalized_tab_id = tab_id[-4:] if tab_id else tab_id
        result = await tools.close(
            tab_id=normalized_tab_id,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"关闭标签页 {normalized_tab_id}")

    except Exception as e:
        return ToolResult(
            title="关闭标签页失败",
            output="",
            error=f"Failed to close tab: {str(e)}",
            long_term_memory=f"关闭标签页 {tab_id} 失败"
        )


# ============================================================
# 下拉框工具 (Dropdown Tools)
# ============================================================

@tool()
async def get_dropdown_options(index: int, uid: str = "") -> ToolResult:
    """
    获取下拉框的所有选项
    Get options from a dropdown element

    Args:
        index: 下拉框的元素索引
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含所有选项的结果

    Example:
        get_dropdown_options(index=8)
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.dropdown_options(
            index=index,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"获取下拉框选项: {index}")

    except Exception as e:
        return ToolResult(
            title="获取下拉框选项失败",
            output="",
            error=f"Failed to get dropdown options: {str(e)}",
            long_term_memory=f"获取下拉框 {index} 选项失败"
        )


@tool()
async def select_dropdown_option(index: int, text: str, uid: str = "") -> ToolResult:
    """
    选择下拉框选项
    Select an option from a dropdown

    Args:
        index: 下拉框的元素索引
        text: 要选择的选项文本（精确匹配）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 选择结果

    Example:
        select_dropdown_option(index=8, text="Option 2")
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.select_dropdown(
            index=index,
            text=text,
            browser_session=browser
        )

        return action_result_to_tool_result(result, f"选择下拉框选项: {text}")

    except Exception as e:
        return ToolResult(
            title="选择下拉框选项失败",
            output="",
            error=f"Failed to select dropdown option: {str(e)}",
            long_term_memory=f"选择选项 '{text}' 失败"
        )


# ============================================================
# 内容提取工具 (Content Extraction Tools)
# ============================================================

@tool()
async def extract_content(query: str, extract_links: bool = False,
                         start_from_char: int = 0, uid: str = "") -> ToolResult:
    """
    使用 LLM 从页面提取结构化数据
    Extract content from the current page using LLM

    Args:
        query: 提取查询（告诉 LLM 要提取什么内容）
        extract_links: 是否提取链接（默认 False，节省 token）
        start_from_char: 从哪个字符开始提取（用于分页提取大内容）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 提取的内容

    Example:
        extract_content(query="提取页面上所有产品的名称和价格", extract_links=True)

    Note:
        需要配置 page_extraction_llm，否则会失败
        支持分页提取，最大100k字符
    """
    try:
        browser, tools = await get_browser_session()

        # 注意：extract 需要 page_extraction_llm 参数
        # 这里我们假设用户会在初始化时配置 LLM
        # 如果没有配置，会抛出异常
        result = await tools.extract(
            query=query,
            extract_links=extract_links,
            start_from_char=start_from_char,
            browser_session=browser,
            page_extraction_llm=None,  # 需要用户配置
            file_system=_file_system
        )

        return action_result_to_tool_result(result, f"提取内容: {query}")

    except Exception as e:
        return ToolResult(
            title="内容提取失败",
            output="",
            error=f"Failed to extract content: {str(e)}",
            long_term_memory=f"提取内容失败: {query}"
        )


@tool()
async def get_page_html(uid: str = "") -> ToolResult:
    """
    获取当前页面的完整 HTML
    Get the full HTML of the current page

    返回当前页面的完整 HTML 源代码。

    Args:
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含页面 HTML 的工具返回对象

    Example:
        get_page_html()

    Note:
        - 返回的是完整的 HTML 源代码
        - 输出会被限制在 10000 字符以内（完整内容保存在 metadata 中）
    """
    try:
        browser, tools = await get_browser_session()

        # 使用 CDP 获取页面 HTML
        cdp = await browser.get_or_create_cdp_session()

        # 获取页面内容
        result = await cdp.cdp_client.send.Runtime.evaluate(
            params={'expression': 'document.documentElement.outerHTML'},
            session_id=cdp.session_id
        )

        html = result.get('result', {}).get('value', '')

        # 获取 URL 和标题
        url = await browser.get_current_page_url()

        title_result = await cdp.cdp_client.send.Runtime.evaluate(
            params={'expression': 'document.title'},
            session_id=cdp.session_id
        )
        title = title_result.get('result', {}).get('value', '')

        # 限制输出大小
        output_html = html
        if len(html) > 10000:
            output_html = html[:10000] + "... (truncated)"

        return ToolResult(
            title=f"获取 HTML: {url}",
            output=f"页面: {title}\nURL: {url}\n\nHTML:\n{output_html}",
            long_term_memory=f"获取 HTML: {url}",
            metadata={"url": url, "title": title, "html": html}
        )

    except Exception as e:
        return ToolResult(
            title="获取 HTML 失败",
            output="",
            error=f"Failed to get page HTML: {str(e)}",
            long_term_memory="获取 HTML 失败"
        )


@tool()
async def get_selector_map(uid: str = "") -> ToolResult:
    """
    获取当前页面的元素索引映射
    Get the selector map of interactive elements on the current page

    返回页面所有可交互元素的索引字典，用于后续的元素操作。

    Args:
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含元素映射的工具返回对象

    Example:
        get_selector_map()

    Note:
        返回的索引可以用于 click_element, input_text 等操作
    """
    try:
        browser, tools = await get_browser_session()

        # 获取选择器映射
        selector_map = await browser.get_selector_map()

        # 构建输出信息
        elements_info = []
        for index, node in list(selector_map.items())[:20]:  # 只显示前20个
            tag = node.tag_name
            attrs = node.attributes or {}
            text = attrs.get('aria-label') or attrs.get('placeholder') or attrs.get('value', '')
            elements_info.append(f"索引 {index}: <{tag}> {text[:50]}")

        output = f"找到 {len(selector_map)} 个交互元素\n\n"
        output += "\n".join(elements_info)
        if len(selector_map) > 20:
            output += f"\n... 还有 {len(selector_map) - 20} 个元素"

        return ToolResult(
            title="获取元素映射",
            output=output,
            long_term_memory=f"获取到 {len(selector_map)} 个交互元素",
            metadata={"selector_map": {k: str(v) for k, v in list(selector_map.items())[:100]}}
        )

    except Exception as e:
        return ToolResult(
            title="获取元素映射失败",
            output="",
            error=f"Failed to get selector map: {str(e)}",
            long_term_memory="获取元素映射失败"
        )


# ============================================================
# JavaScript 执行工具 (JavaScript Tools)
# ============================================================

@tool()
async def evaluate(code: str, uid: str = "") -> ToolResult:
    """
    在页面中执行 JavaScript 代码
    Execute JavaScript code in the page context

    允许在当前页面中执行任意 JavaScript 代码，用于复杂的页面操作或数据提取。

    Args:
        code: 要执行的 JavaScript 代码字符串
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含执行结果的工具返回对象

    Example:
        evaluate("document.title")
        evaluate("document.querySelectorAll('a').length")

    Note:
        - 代码在页面上下文中执行，可以访问 DOM 和全局变量
        - 返回值会被自动序列化为字符串
        - 执行结果限制在 20k 字符以内
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.evaluate(
            code=code,
            browser_session=browser
        )

        return action_result_to_tool_result(result, "执行 JavaScript")

    except Exception as e:
        return ToolResult(
            title="JavaScript 执行失败",
            output="",
            error=f"Failed to execute JavaScript: {str(e)}",
            long_term_memory="JavaScript 执行失败"
        )


@tool()
async def ensure_login_with_cookies(cookie_type: str, url: str = "https://www.xiaohongshu.com", uid: str = "") -> ToolResult:
    """
    检查登录状态并在需要时注入 cookies
    """
    try:
        browser, tools = await get_browser_session()

        if url:
            await tools.navigate(url=url, browser_session=browser)
            await tools.wait(seconds=2, browser_session=browser)

        check_login_js = """
        (function() {
            const loginBtn = document.querySelector('[class*="login"]') ||
                           document.querySelector('[href*="login"]') ||
                           Array.from(document.querySelectorAll('button, a')).find(el => (el.textContent || '').includes('登录'));

            const userInfo = document.querySelector('[class*="user"]') ||
                           document.querySelector('[class*="avatar"]');

            return {
                needLogin: !!loginBtn && !userInfo,
                hasLoginBtn: !!loginBtn,
                hasUserInfo: !!userInfo
            };
        })()
        """

        result = await tools.evaluate(code=check_login_js, browser_session=browser)
        status_output = result.extracted_content
        if isinstance(status_output, str) and status_output.startswith("Result: "):
            status_output = status_output[8:]
        login_info: Dict[str, Any] = {}
        if isinstance(status_output, str):
            try:
                login_info = json.loads(status_output)
            except Exception:
                login_info = {}
        elif isinstance(status_output, dict):
            login_info = status_output

        if not login_info.get("needLogin"):
            output = json.dumps({"need_login": False}, ensure_ascii=False)
            return ToolResult(
                title="已登录",
                output=output,
                long_term_memory=output
            )

        row = _fetch_cookie_row(cookie_type)
        cookie_value = _extract_cookie_value(row)
        if not cookie_value:
            output = json.dumps({"need_login": True, "cookies_count": 0}, ensure_ascii=False)
            return ToolResult(
                title="未找到 cookies",
                output=output,
                error="未找到 cookies",
                long_term_memory=output
            )

        domain, base_url = _cookie_domain_for_type(cookie_type, url)
        cookies = _normalize_cookies(cookie_value, domain, base_url)
        if not cookies:
            output = json.dumps({"need_login": True, "cookies_count": 0}, ensure_ascii=False)
            return ToolResult(
                title="cookies 解析失败",
                output=output,
                error="cookies 解析失败",
                long_term_memory=output
            )

        await browser._cdp_set_cookies(cookies)
        if url:
            await tools.navigate(url=url, browser_session=browser)
            await tools.wait(seconds=2, browser_session=browser)

        output = json.dumps({"need_login": True, "cookies_count": len(cookies)}, ensure_ascii=False)
        return ToolResult(
            title="已注入 cookies",
            output=output,
            long_term_memory=output
        )
    except Exception as e:
        return ToolResult(
            title="登录检查失败",
            output="",
            error=str(e),
            long_term_memory="登录检查失败"
        )


# ============================================================
# 文件系统工具 (File System Tools)
# ============================================================

@tool()
async def write_file(file_name: str, content: str, append: bool = False, uid: str = "") -> ToolResult:
    """
    写入文件到本地文件系统
    Write content to a local file

    支持多种文件格式的写入操作。

    Args:
        file_name: 文件名（包含扩展名）
        content: 要写入的文件内容
        append: 是否追加模式（默认 False，覆盖写入）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含写入结果的工具返回对象

    Example:
        write_file("output.txt", "Hello World")
        write_file("data.json", '{"key": "value"}')

    Note:
        支持的文件格式: .txt, .md, .json, .jsonl, .csv, .pdf
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.write_file(
            file_name=file_name,
            content=content,
            append=append,
            file_system=_file_system
        )

        return action_result_to_tool_result(result, f"写入文件: {file_name}")

    except Exception as e:
        return ToolResult(
            title="写入文件失败",
            output="",
            error=f"Failed to write file: {str(e)}",
            long_term_memory=f"写入文件 {file_name} 失败"
        )


@tool()
async def read_file(file_name: str, uid: str = "") -> ToolResult:
    """
    读取文件内容
    Read content from a local file

    支持多种文件格式的读取操作。

    Args:
        file_name: 文件名（包含扩展名）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含文件内容的工具返回对象

    Example:
        read_file("input.txt")
        read_file("data.json")

    Note:
        支持的文件格式: 文本文件、PDF、DOCX、图片等
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.read_file(
            file_name=file_name,
            available_file_paths=[],
            file_system=_file_system
        )

        return action_result_to_tool_result(result, f"读取文件: {file_name}")

    except Exception as e:
        return ToolResult(
            title="读取文件失败",
            output="",
            error=f"Failed to read file: {str(e)}",
            long_term_memory=f"读取文件 {file_name} 失败"
        )


@tool()
async def replace_file(file_name: str, old_str: str, new_str: str, uid: str = "") -> ToolResult:
    """
    替换文件中的特定文本
    Replace specific text in a file

    在文件中查找并替换指定的文本内容。

    Args:
        file_name: 文件名（包含扩展名）
        old_str: 要替换的文本
        new_str: 新文本
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含替换结果的工具返回对象

    Example:
        replace_file("config.txt", "old_value", "new_value")

    Note:
        - 会替换文件中所有匹配的文本
        - 如果找不到要替换的文本，会返回警告
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.replace_file(
            file_name=file_name,
            old_str=old_str,
            new_str=new_str,
            file_system=_file_system
        )

        return action_result_to_tool_result(result, f"替换文件内容: {file_name}")

    except Exception as e:
        return ToolResult(
            title="替换文件失败",
            output="",
            error=f"Failed to replace file content: {str(e)}",
            long_term_memory=f"替换文件 {file_name} 失败"
        )


# ============================================================
# 等待用户操作工具 (Wait for User Action)
# ============================================================

@tool()
async def wait_for_user_action(message: str = "Please complete the action in browser",
                               timeout: int = 300, uid: str = "") -> ToolResult:
    """
    等待用户在浏览器中完成操作（如登录）
    Wait for user to complete an action in the browser (e.g., login)

    暂停自动化流程，等待用户手动完成某些操作（如登录、验证码等）。

    Args:
        message: 提示用户需要完成的操作
        timeout: 最大等待时间（秒），默认 300 秒（5 分钟）
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 包含等待结果的工具返回对象

    Example:
        wait_for_user_action("Please login to Xiaohongshu", timeout=180)
        wait_for_user_action("Please complete the CAPTCHA", timeout=60)

    Note:
        - 用户需要在浏览器窗口中手动完成操作
        - 完成后按回车键继续
        - 超时后会自动继续执行
    """
    try:
        import asyncio

        print(f"\n{'='*60}")
        print(f"⏸️  WAITING FOR USER ACTION")
        print(f"{'='*60}")
        print(f"📝 {message}")
        print(f"⏱️  Timeout: {timeout} seconds")
        print(f"\n👉 Please complete the action in the browser window")
        print(f"👉 Press ENTER when done, or wait for timeout")
        print(f"{'='*60}\n")

        # Wait for user input or timeout
        try:
            loop = asyncio.get_event_loop()

            # Wait for either user input or timeout
            await asyncio.wait_for(
                loop.run_in_executor(None, input),
                timeout=timeout
            )

            return ToolResult(
                title="用户操作完成",
                output=f"User completed: {message}",
                long_term_memory=f"用户完成操作: {message}"
            )
        except asyncio.TimeoutError:
            return ToolResult(
                title="用户操作超时",
                output=f"Timeout waiting for: {message}",
                long_term_memory=f"等待用户操作超时: {message}"
            )

    except Exception as e:
        return ToolResult(
            title="等待用户操作失败",
            output="",
            error=f"Failed to wait for user action: {str(e)}",
            long_term_memory="等待用户操作失败"
        )


# ============================================================
# 任务完成工具 (Task Completion)
# ============================================================

@tool()
async def done(text: str, success: bool = True,
              files_to_display: Optional[List[str]] = None, uid: str = "") -> ToolResult:
    """
    标记任务完成并返回最终消息
    Mark the task as complete and return final message to user

    Args:
        text: 给用户的最终消息
        success: 任务是否成功完成
        files_to_display: 可选的要显示的文件路径列表
        uid: 用户 ID（由框架自动注入）

    Returns:
        ToolResult: 完成结果

    Example:
        done("任务已完成，提取了10个产品信息", success=True)
    """
    try:
        browser, tools = await get_browser_session()

        result = await tools.done(
            text=text,
            success=success,
            files_to_display=files_to_display,
            file_system=_file_system
        )

        return action_result_to_tool_result(result, "任务完成")

    except Exception as e:
        return ToolResult(
            title="标记任务完成失败",
            output="",
            error=f"Failed to complete task: {str(e)}",
            long_term_memory="标记任务完成失败"
        )


# ============================================================
# 容器管理工具 (Container Management Tools)
# ============================================================

import aiohttp

async def create_container(url: str, account_name: str = "liuwenwu") -> Dict[str, Any]:
    """
    创建浏览器容器并导航到指定URL

    按照 test.md 的要求：
    1.1 调用接口创建容器
    1.2 调用接口创建窗口并导航到URL

    Args:
        url: 要导航的URL地址
        account_name: 账户名称

    Returns:
        包含容器信息的字典:
        - success: 是否成功
        - container_id: 容器ID
        - vnc: VNC访问URL
        - cdp: CDP协议URL（用于浏览器连接）
        - connection_id: 窗口连接ID
        - error: 错误信息（如果失败）
    """
    result = {
        "success": False,
        "container_id": None,
        "vnc": None,
        "cdp": None,
        "connection_id": None,
        "error": None
    }

    try:
        async with aiohttp.ClientSession() as session:
            # 步骤1.1: 创建容器
            print("📦 步骤1.1: 创建容器...")
            create_url = "http://47.84.182.56:8200/api/v1/container/create"
            create_payload = {
                "auto_remove": True,
                "need_port_binding": True,
                "max_lifetime_seconds": 900
            }

            async with session.post(create_url, json=create_payload) as resp:
                if resp.status != 200:
                    raise RuntimeError(f"创建容器失败: HTTP {resp.status}")

                create_result = await resp.json()
                if create_result.get("code") != 0:
                    raise RuntimeError(f"创建容器失败: {create_result.get('msg')}")

                data = create_result.get("data", {})
                result["container_id"] = data.get("container_id")
                result["vnc"] = data.get("vnc")
                result["cdp"] = data.get("cdp")

                print(f"✅ 容器创建成功")
                print(f"   Container ID: {result['container_id']}")
                print(f"   VNC: {result['vnc']}")
                print(f"   CDP: {result['cdp']}")

            # 等待容器内的浏览器启动
            print(f"\n⏳ 等待容器内浏览器启动...")
            await asyncio.sleep(5)

            # 步骤1.2: 创建页面并导航
            print(f"\n📱 步骤1.2: 创建页面并导航到 {url}...")

            page_create_url = "http://47.84.182.56:8200/api/v1/browser/page/create"
            page_payload = {
                "container_id": result["container_id"],
                "url": url,
                "account_name": account_name,
                "need_wait": True,
                "timeout": 30
            }

            # 重试机制：最多尝试3次
            max_retries = 3
            page_created = False
            last_error = None

            for attempt in range(max_retries):
                try:
                    if attempt > 0:
                        print(f"   重试 {attempt + 1}/{max_retries}...")
                        await asyncio.sleep(3)  # 重试前等待

                    async with session.post(page_create_url, json=page_payload, timeout=aiohttp.ClientTimeout(total=60)) as resp:
                        if resp.status != 200:
                            response_text = await resp.text()
                            last_error = f"HTTP {resp.status}: {response_text[:200]}"
                            continue

                        page_result = await resp.json()
                        if page_result.get("code") != 0:
                            last_error = f"{page_result.get('msg')}"
                            continue

                        page_data = page_result.get("data", {})
                        result["connection_id"] = page_data.get("connection_id")
                        result["success"] = True
                        page_created = True

                        print(f"✅ 页面创建成功")
                        print(f"   Connection ID: {result['connection_id']}")
                        break

                except asyncio.TimeoutError:
                    last_error = "请求超时"
                    continue
                except aiohttp.ClientError as e:
                    last_error = f"网络错误: {str(e)}"
                    continue
                except Exception as e:
                    last_error = f"未知错误: {str(e)}"
                    continue

            if not page_created:
                raise RuntimeError(f"创建页面失败（尝试{max_retries}次后）: {last_error}")

    except Exception as e:
        result["error"] = str(e)
        print(f"❌ 错误: {str(e)}")

    return result


# ============================================================
# 导出所有工具函数（供外部使用）
# ============================================================

__all__ = [
    # 会话管理
    'init_browser_session',
    'get_browser_session',
    'cleanup_browser_session',
    'kill_browser_session',

    # 导航类工具
    'navigate_to_url',
    'search_web',
    'go_back',
    'wait',

    # 元素交互工具
    'click_element',
    'input_text',
    'send_keys',
    'upload_file',

    # 滚动和视图工具
    'scroll_page',
    'find_text',
    'screenshot',

    # 标签页管理工具
    'switch_tab',
    'close_tab',

    # 下拉框工具
    'get_dropdown_options',
    'select_dropdown_option',

    # 内容提取工具
    'extract_content',
    'get_page_html',
    'get_selector_map',

    # JavaScript 执行工具
    'evaluate',
    'ensure_login_with_cookies',

    # 文件系统工具
    'write_file',
    'read_file',
    'replace_file',

    # 等待用户操作
    'wait_for_user_action',

    # 任务完成
    'done',

    # 容器管理
    'create_container',
]