multi-platform-media-manage/server/python/platforms/weixin.py

# -*- coding: utf-8 -*-
"""
微信视频号发布器
参考: matrix/tencent_uploader/main.py
"""

import asyncio
import json
import os
from datetime import datetime
from typing import List
from .base import (
    BasePublisher, PublishParams, PublishResult,
    WorkItem, WorksResult, CommentItem, CommentsResult
)
import os
import time

# 允许通过环境变量手动指定“上传视频入口”的选择器，便于在页面结构频繁变更时快速调整
WEIXIN_UPLOAD_SELECTOR = os.environ.get("WEIXIN_UPLOAD_SELECTOR", "").strip()

def format_short_title(origin_title: str) -> str:
    """
    格式化短标题
    - 移除特殊字符
    - 长度限制在 6-16 字符
    """
    allowed_special_chars = "《》"":+?%°"
    
    filtered_chars = [
        char if char.isalnum() or char in allowed_special_chars 
        else ' ' if char == ',' else '' 
        for char in origin_title
    ]
    formatted_string = ''.join(filtered_chars)
    
    if len(formatted_string) > 16:
        formatted_string = formatted_string[:16]
    elif len(formatted_string) < 6:
        formatted_string += ' ' * (6 - len(formatted_string))
    
    return formatted_string


class WeixinPublisher(BasePublisher):
    """
    微信视频号发布器
    使用 Playwright 自动化操作视频号创作者中心
    注意: 需要使用 Chrome 浏览器，否则可能出现 H264 编码错误
    """
    
    platform_name = "weixin"
    login_url = "https://channels.weixin.qq.com/platform"
    publish_url = "https://channels.weixin.qq.com/platform/post/create"
    cookie_domain = ".weixin.qq.com"
    
    def _parse_count(self, count_str: str) -> int:
        """解析数字（支持带'万'的格式）"""
        try:
            count_str = count_str.strip()
            if '万' in count_str:
                return int(float(count_str.replace('万', '')) * 10000)
            return int(count_str)
        except:
            return 0

    async def ai_find_upload_selector(self, frame_html: str, frame_name: str = "main") -> str:
        """
        使用 AI 从 HTML 中识别“上传视频/选择文件”相关元素的 CSS 选择器。
        
        设计思路：
        - 仅在常规 DOM 选择器都失败时调用，避免频繁占用 AI 配额；
        - 通过 DashScope 文本模型（与验证码识别同一套配置）分析 HTML；
        - 返回一个适合用于 frame.locator(selector) 的 CSS 选择器。
        """
        import json
        import re
        import requests
        import os

        # 避免 HTML 过长导致 token 超限，只截取前 N 字符
        if not frame_html:
            return ""
        max_len = 20000
        if len(frame_html) > max_len:
            frame_html = frame_html[:max_len]

        ai_api_key = os.environ.get("DASHSCOPE_API_KEY", "")
        ai_base_url = os.environ.get("DASHSCOPE_BASE_URL", "https://dashscope.aliyuncs.com/compatible-mode/v1")
        ai_text_model = os.environ.get("AI_TEXT_MODEL", "qwen-plus")

        if not ai_api_key:
            print(f"[{self.platform_name}] AI上传入口识别: 未配置 AI API Key，跳过")
            return ""

        prompt = f"""
你是熟悉微信视频号后台的前端工程师，现在需要在一段 HTML 中找到“上传视频文件”的入口。

页面说明：
- 平台：微信视频号（channels.weixin.qq.com）
- 目标：用于上传视频文件的按钮或 input（一般会触发文件选择框）
- 你会收到某个 frame 的完整 HTML 片段（不包含截图）。

请你根据下面的 HTML，推断最适合用于上传视频文件的元素，并输出一个可以被 Playwright 使用的 CSS 选择器。

要求：
1. 只考虑“上传/选择视频文件”的入口，不要返回“发布/发表/下一步”等按钮；
2. 选择器需要尽量稳定，不要使用自动生成的随机类名（例如带很多随机字母/数字的类名可以用前缀匹配）；
3. 选择器必须是 CSS 选择器（不要返回 XPath）；
4. 如果确实找不到合理的上传入口，返回 selector 为空字符串。

请以 JSON 格式输出，严格遵守以下结构（不要添加任何解释文字）：
```json
{{
  "selector": "CSS 选择器字符串，比如：input[type='file'] 或 div.upload-content input[type='file']"
}}
```

下面是 frame=\"{frame_name}\" 的 HTML：
```html
{frame_html}
```"""

        payload = {
            "model": ai_text_model,
            "messages": [
                {
                    "role": "user",
                    "content": prompt,
                }
            ],
            "max_tokens": 600,
        }

        headers = {
            "Authorization": f"Bearer {ai_api_key}",
            "Content-Type": "application/json",
        }

        try:
            print(f"[{self.platform_name}] AI上传入口识别: 正在分析 frame={frame_name} HTML...")
            resp = requests.post(
                f"{ai_base_url}/chat/completions",
                headers=headers,
                json=payload,
                timeout=40,
            )
            if resp.status_code != 200:
                print(f"[{self.platform_name}] AI上传入口识别: API 返回错误 {resp.status_code}")
                return ""

            data = resp.json()
            content = data.get("choices", [{}])[0].get("message", {}).get("content", "") or ""

            # 尝试从 ```json``` 代码块中解析
            json_match = re.search(r"```json\\s*([\\s\\S]*?)\\s*```", content)
            if json_match:
                json_str = json_match.group(1)
            else:
                json_match = re.search(r"\\{[\\s\\S]*\\}", content)
                json_str = json_match.group(0) if json_match else "{}"

            try:
                result = json.loads(json_str)
            except Exception:
                result = {}

            selector = (result.get("selector") or "").strip()
            print(f"[{self.platform_name}] AI上传入口识别结果: selector='{selector}'")
            return selector
        except Exception as e:
            print(f"[{self.platform_name}] AI上传入口识别异常: {e}")
            return ""

    async def ai_pick_selector_from_candidates(self, candidates: list, goal: str, frame_name: str = "main") -> str:
        """
        将“候选元素列表（包含 css selector + 文本/属性）”发给 AI，让 AI 直接挑选最符合 goal 的元素。
        适用于：HTML 里看不出上传入口、或页面大量动态渲染时。
        """
        import json
        import re
        import requests
        import os

        if not candidates:
            return ""

        ai_api_key = os.environ.get("DASHSCOPE_API_KEY", "")
        ai_base_url = os.environ.get("DASHSCOPE_BASE_URL", "https://dashscope.aliyuncs.com/compatible-mode/v1")
        ai_text_model = os.environ.get("AI_TEXT_MODEL", "qwen-plus")

        if not ai_api_key:
            print(f"[{self.platform_name}] AI候选选择器: 未配置 AI API Key，跳过")
            return ""

        # 控制长度，最多取前 120 个候选
        candidates = candidates[:120]

        prompt = f"""
你是自动化发布工程师。现在要在微信视频号（channels.weixin.qq.com）发布页面里找到“{goal}”相关的入口元素。

我会给你一组候选元素，每个候选都包含：
- css: 可直接用于 Playwright 的 CSS 选择器
- tag / type / role / ariaLabel / text / id / className（部分字段可能为空）

你的任务：
- 从候选中选出最可能用于“{goal}”的元素，返回它的 css 选择器；
- 如果没有任何候选符合，返回空字符串。

注意：
- 如果 goal 是“上传视频入口”，优先选择 input[type=file] 或看起来会触发选择文件/上传的区域；
- 不要选择“发布/发表/下一步”等按钮（除非 goal 明确是发布按钮）。

请严格按 JSON 输出（不要解释）：
```json
{{ "selector": "..." }}
```

候选列表（frame={frame_name}）：
```json
{json.dumps(candidates, ensure_ascii=False)}
```"""

        payload = {
            "model": ai_text_model,
            "messages": [{"role": "user", "content": prompt}],
            "max_tokens": 400,
        }

        headers = {
            "Authorization": f"Bearer {ai_api_key}",
            "Content-Type": "application/json",
        }

        try:
            print(f"[{self.platform_name}] AI候选选择器: 正在分析 frame={frame_name}, goal={goal} ...")
            resp = requests.post(
                f"{ai_base_url}/chat/completions",
                headers=headers,
                json=payload,
                timeout=40,
            )
            if resp.status_code != 200:
                print(f"[{self.platform_name}] AI候选选择器: API 返回错误 {resp.status_code}")
                return ""

            data = resp.json()
            content = data.get("choices", [{}])[0].get("message", {}).get("content", "") or ""
            json_match = re.search(r"```json\\s*([\\s\\S]*?)\\s*```", content)
            if json_match:
                json_str = json_match.group(1)
            else:
                json_match = re.search(r"\\{[\\s\\S]*\\}", content)
                json_str = json_match.group(0) if json_match else "{}"

            try:
                result = json.loads(json_str)
            except Exception:
                result = {}

            selector = (result.get("selector") or "").strip()
            print(f"[{self.platform_name}] AI候选选择器结果: selector='{selector}'")
            return selector
        except Exception as e:
            print(f"[{self.platform_name}] AI候选选择器异常: {e}")
            return ""

    async def _extract_relevant_html_snippets(self, html: str) -> str:
        """
        从 HTML 中抽取与上传相关的片段，减少 token，提升 AI 命中率。
        - 优先抓取包含 upload/上传/file/input 等关键词的窗口片段
        - 若未命中关键词，返回“开头 + 结尾”的拼接
        """
        import re

        if not html:
            return ""

        patterns = [
            r"upload",
            r"uploader",
            r"file",
            r"type\\s*=\\s*['\\\"]file['\\\"]",
            r"input",
            r"drag",
            r"drop",
            r"选择",
            r"上传",
            r"添加",
            r"视频",
        ]
        regex = re.compile("|".join(patterns), re.IGNORECASE)

        snippets = []
        for m in regex.finditer(html):
            start = max(0, m.start() - 350)
            end = min(len(html), m.end() + 350)
            snippets.append(html[start:end])
            if len(snippets) >= 18:
                break

        if snippets:
            # 去重（粗略）
            unique = []
            seen = set()
            for s in snippets:
                key = hash(s)
                if key not in seen:
                    seen.add(key)
                    unique.append(s)
            return "\n\n<!-- SNIPPET -->\n\n".join(unique)[:20000]

        # fallback: head + tail
        head = html[:9000]
        tail = html[-9000:] if len(html) > 9000 else ""
        return (head + "\n\n<!-- TAIL -->\n\n" + tail)[:20000]
    
    async def init_browser(self, storage_state: str = None):
        """初始化浏览器 - 参考 matrix 使用 channel=chrome 避免 H264 编码错误"""
        from playwright.async_api import async_playwright
        
        playwright = await async_playwright().start()
        proxy = self.proxy_config if isinstance(getattr(self, 'proxy_config', None), dict) else None
        if proxy and proxy.get('server'):
            print(f"[{self.platform_name}] 使用代理: {proxy.get('server')}", flush=True)
        
        # 参考 matrix: 使用系统内的 Chrome 浏览器，避免 H264 编码错误
        # 如果没有安装 Chrome，则使用默认 Chromium
        try:
            self.browser = await playwright.chromium.launch(
                headless=self.headless,
                channel="chrome",  # 使用系统 Chrome
                proxy=proxy if proxy and proxy.get('server') else None
            )
            print(f"[{self.platform_name}] 使用系统 Chrome 浏览器")
        except Exception as e:
            print(f"[{self.platform_name}] Chrome 不可用，使用 Chromium: {e}")
            self.browser = await playwright.chromium.launch(
                headless=self.headless,
                proxy=proxy if proxy and proxy.get('server') else None
            )
        
        # 设置 HTTP Headers 防止重定向
        headers = {
            "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
            "Referer": "https://channels.weixin.qq.com/platform/post/list",
        }
        
        self.context = await self.browser.new_context(
            extra_http_headers=headers,
            ignore_https_errors=True,
            viewport={"width": 1920, "height": 1080},
            user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" 
        )
        
        self.page = await self.context.new_page()
        return self.page
    
    async def set_schedule_time(self, publish_date: datetime):
        """设置定时发布"""
        if not self.page:
            return
        
        print(f"[{self.platform_name}] 设置定时发布...")
        
        # 点击定时选项
        label_element = self.page.locator("label").filter(has_text="定时").nth(1)
        await label_element.click()
        
        # 选择日期
        await self.page.click('input[placeholder="请选择发表时间"]')
        
        publish_month = f"{publish_date.month:02d}"
        current_month = f"{publish_month}月"
        
        # 检查月份
        page_month = await self.page.inner_text('span.weui-desktop-picker__panel__label:has-text("月")')
        if page_month != current_month:
            await self.page.click('button.weui-desktop-btn__icon__right')
        
        # 选择日期
        elements = await self.page.query_selector_all('table.weui-desktop-picker__table a')
        for element in elements:
            class_name = await element.evaluate('el => el.className')
            if 'weui-desktop-picker__disabled' in class_name:
                continue
            text = await element.inner_text()
            if text.strip() == str(publish_date.day):
                await element.click()
                break
        
        # 输入时间
        await self.page.click('input[placeholder="请选择时间"]')
        await self.page.keyboard.press("Control+KeyA")
        await self.page.keyboard.type(str(publish_date.hour))
        
        # 点击其他地方确认
        await self.page.locator("div.input-editor").click()
    
    async def handle_upload_error(self, video_path: str):
        """处理上传错误"""
        if not self.page:
            return
        
        print(f"[{self.platform_name}] 视频出错了，重新上传中...")
        await self.page.locator('div.media-status-content div.tag-inner:has-text("删除")').click()
        await self.page.get_by_role('button', name="删除", exact=True).click()
        file_input = self.page.locator('input[type="file"]')
        await file_input.set_input_files(video_path)
    
    async def add_title_tags(self, params: PublishParams):
        """添加标题和话题"""
        if not self.page:
            return
        
        await self.page.locator("div.input-editor").click()
        await self.page.keyboard.type(params.title)
        
        if params.tags:
            await self.page.keyboard.press("Enter")
            for tag in params.tags:
                await self.page.keyboard.type("#" + tag)
                await self.page.keyboard.press("Space")
        
        print(f"[{self.platform_name}] 成功添加标题和 {len(params.tags)} 个话题")
    
    async def add_short_title(self):
        """添加短标题"""
        if not self.page:
            return
        
        try:
            short_title_element = self.page.get_by_text("短标题", exact=True).locator("..").locator(
                "xpath=following-sibling::div").locator('span input[type="text"]')
            if await short_title_element.count():
                # 获取已有内容作为短标题
                pass
        except:
            pass
    
    async def upload_cover(self, cover_path: str):
        """上传封面图"""
        if not self.page or not cover_path or not os.path.exists(cover_path):
            return
        
        try:
            await asyncio.sleep(2)
            preview_btn_info = await self.page.locator(
                'div.finder-tag-wrap.btn:has-text("更换封面")').get_attribute('class')
            
            if "disabled" not in preview_btn_info:
                await self.page.locator('div.finder-tag-wrap.btn:has-text("更换封面")').click()
                await self.page.locator('div.single-cover-uploader-wrap > div.wrap').hover()
                
                # 删除现有封面
                if await self.page.locator(".del-wrap > .svg-icon").count():
                    await self.page.locator(".del-wrap > .svg-icon").click()
                
                # 上传新封面
                preview_div = self.page.locator("div.single-cover-uploader-wrap > div.wrap")
                async with self.page.expect_file_chooser() as fc_info:
                    await preview_div.click()
                preview_chooser = await fc_info.value
                await preview_chooser.set_files(cover_path)
                
                await asyncio.sleep(2)
                await self.page.get_by_role("button", name="确定").click()
                await asyncio.sleep(1)
                await self.page.get_by_role("button", name="确认").click()
                
                print(f"[{self.platform_name}] 封面上传成功")
        except Exception as e:
            print(f"[{self.platform_name}] 封面上传失败: {e}")
    
    async def check_captcha(self) -> dict:
        """检查页面是否需要验证码"""
        if not self.page:
            return {'need_captcha': False, 'captcha_type': ''}
        
        try:
            # 检查各种验证码
            captcha_selectors = [
                'text="请输入验证码"',
                'text="滑动验证"',
                '[class*="captcha"]',
                '[class*="verify"]',
            ]
            for selector in captcha_selectors:
                try:
                    if await self.page.locator(selector).count() > 0:
                        print(f"[{self.platform_name}] 检测到验证码: {selector}")
                        return {'need_captcha': True, 'captcha_type': 'image'}
                except:
                    pass
            
            # 检查登录弹窗
            login_selectors = [
                'text="请登录"',
                'text="扫码登录"',
                '[class*="login-dialog"]',
            ]
            for selector in login_selectors:
                try:
                    if await self.page.locator(selector).count() > 0:
                        print(f"[{self.platform_name}] 检测到需要登录: {selector}")
                        return {'need_captcha': True, 'captcha_type': 'login'}
                except:
                    pass
                    
        except Exception as e:
            print(f"[{self.platform_name}] 验证码检测异常: {e}")
        
        return {'need_captcha': False, 'captcha_type': ''}

    async def publish(self, cookies: str, params: PublishParams) -> PublishResult:
        """发布视频到视频号"""
        print(f"\n{'='*60}")
        print(f"[{self.platform_name}] 开始发布视频")
        print(f"[{self.platform_name}] 视频路径: {params.video_path}")
        print(f"[{self.platform_name}] 标题: {params.title}")
        print(f"[{self.platform_name}] Headless: {self.headless}")
        print(f"{'='*60}")
        
        self.report_progress(5, "正在初始化浏览器...")
        
        # 初始化浏览器（使用 Chrome）
        await self.init_browser()
        print(f"[{self.platform_name}] 浏览器初始化完成")
        
        # 解析并设置 cookies
        cookie_list = self.parse_cookies(cookies)
        print(cookie_list)
        print(f"[{self.platform_name}] 解析到 {len(cookie_list)} 个 cookies")
        await self.set_cookies(cookie_list)
        
        if not self.page:
            raise Exception("Page not initialized")
        
        # 检查视频文件
        if not os.path.exists(params.video_path):
            raise Exception(f"视频文件不存在: {params.video_path}")
        
        print(f"[{self.platform_name}] 视频文件存在，大小: {os.path.getsize(params.video_path)} bytes")
        
        self.report_progress(10, "正在打开上传页面...")
        
        # 访问上传页面
        await self.page.goto(self.publish_url, wait_until="networkidle", timeout=60000)
        await asyncio.sleep(3)
        
        # 检查是否跳转到登录页
        current_url = self.page.url
        print(f"[{self.platform_name}] 当前页面: {current_url}")
        
        if "login" in current_url:
            screenshot_base64 = await self.capture_screenshot()
            return PublishResult(
                success=False,
                platform=self.platform_name,
                error="Cookie 已过期，需要重新登录",
                need_captcha=True,
                captcha_type='login',
                screenshot_base64=screenshot_base64,
                page_url=current_url,
                status='need_captcha'
            )
        
        # 使用 AI 检查验证码
        ai_captcha = await self.ai_check_captcha()
        if ai_captcha['has_captcha']:
            print(f"[{self.platform_name}] AI检测到验证码: {ai_captcha['captcha_type']}", flush=True)
            screenshot_base64 = await self.capture_screenshot()
            return PublishResult(
                success=False,
                platform=self.platform_name,
                error=f"检测到{ai_captcha['captcha_type']}验证码，需要使用有头浏览器完成验证",
                need_captcha=True,
                captcha_type=ai_captcha['captcha_type'],
                screenshot_base64=screenshot_base64,
                page_url=current_url,
                status='need_captcha'
            )
        
        # 传统方式检查验证码
        captcha_result = await self.check_captcha()
        if captcha_result['need_captcha']:
            screenshot_base64 = await self.capture_screenshot()
            return PublishResult(
                success=False,
                platform=self.platform_name,
                error=f"需要{captcha_result['captcha_type']}验证码，请使用有头浏览器完成验证",
                need_captcha=True,
                captcha_type=captcha_result['captcha_type'],
                screenshot_base64=screenshot_base64,
                page_url=current_url,
                status='need_captcha'
            )
        
        self.report_progress(15, "正在选择视频文件...")
        
        # 上传视频
        # 说明：视频号发布页在不同账号/地区/灰度下 DOM 结构差异较大，且上传组件可能在 iframe 中。
        # 因此这里按 matrix 的思路“点击触发 file chooser”，同时增加“遍历全部 frame + 精确挑选 video input”的兜底。
        upload_success = False

        if not self.page:
            raise Exception("Page not initialized")

        # 等待页面把上传区域渲染出来（避免过早判断）
        try:
            await self.page.wait_for_selector("div.upload-content, input[type='file'], iframe", timeout=20000)
        except Exception:
            pass

        async def _try_set_files_in_frame(frame, frame_name: str) -> bool:
            """在指定 frame 中尝试触发上传"""
            nonlocal upload_success
            if upload_success:
                return True

            # 方法0：如果用户通过环境变量显式配置了选择器，优先尝试这个
            if WEIXIN_UPLOAD_SELECTOR:
                try:
                    el = frame.locator(WEIXIN_UPLOAD_SELECTOR).first
                    if await el.count() > 0 and await el.is_visible():
                        print(f"[{self.platform_name}] [{frame_name}] 使用环境变量 WEIXIN_UPLOAD_SELECTOR: {WEIXIN_UPLOAD_SELECTOR}")
                        try:
                            async with self.page.expect_file_chooser(timeout=5000) as fc_info:
                                await el.click()
                            chooser = await fc_info.value
                            await chooser.set_files(params.video_path)
                            upload_success = True
                            print(f"[{self.platform_name}] [{frame_name}] 通过环境变量选择器上传成功")
                            return True
                        except Exception as e:
                            print(f"[{self.platform_name}] [{frame_name}] 环境变量选择器点击失败，尝试直接 set_input_files: {e}")
                            try:
                                await el.set_input_files(params.video_path)
                                upload_success = True
                                print(f"[{self.platform_name}] [{frame_name}] 环境变量选择器 set_input_files 成功")
                                return True
                            except Exception as e2:
                                print(f"[{self.platform_name}] [{frame_name}] 环境变量选择器 set_input_files 仍失败: {e2}")
                except Exception as e:
                    print(f"[{self.platform_name}] [{frame_name}] 使用环境变量选择器定位元素失败: {e}")

            # 先尝试点击上传区域触发 chooser（最贴近 matrix）
            click_selectors = [
                "div.upload-content",
                "div[class*='upload-content']",
                "div[class*='upload']",
                "div.add-wrap",
                "[class*='uploader']",
                "text=点击上传",
                "text=上传视频",
                "text=选择视频",
            ]
            for selector in click_selectors:
                try:
                    el = frame.locator(selector).first
                    if await el.count() > 0 and await el.is_visible():
                        print(f"[{self.platform_name}] [{frame_name}] 找到可点击上传区域: {selector}")
                        try:
                            async with self.page.expect_file_chooser(timeout=5000) as fc_info:
                                await el.click()
                            chooser = await fc_info.value
                            await chooser.set_files(params.video_path)
                            upload_success = True
                            print(f"[{self.platform_name}] [{frame_name}] 通过 file chooser 上传成功")
                            return True
                        except Exception as e:
                            print(f"[{self.platform_name}] [{frame_name}] 点击触发 chooser 失败: {e}")
                except Exception:
                    pass

            # 再尝试直接设置 input[type=file]（iframe/隐藏 input 常见）
            try:
                inputs = frame.locator("input[type='file']")
                cnt = await inputs.count()
                if cnt > 0:
                    best_idx = 0
                    best_score = -1
                    for i in range(cnt):
                        try:
                            inp = inputs.nth(i)
                            accept = (await inp.get_attribute("accept")) or ""
                            multiple = (await inp.get_attribute("multiple")) or ""
                            score = 0
                            if "video" in accept:
                                score += 10
                            if "mp4" in accept:
                                score += 3
                            if multiple:
                                score += 1
                            if score > best_score:
                                best_score = score
                                best_idx = i
                        except Exception:
                            continue

                    target = inputs.nth(best_idx)
                    print(f"[{self.platform_name}] [{frame_name}] 尝试对 input[{best_idx}] set_input_files (score={best_score})")
                    await target.set_input_files(params.video_path)
                    upload_success = True
                    print(f"[{self.platform_name}] [{frame_name}] 通过 file input 上传成功")
                    return True
            except Exception as e:
                print(f"[{self.platform_name}] [{frame_name}] file input 上传失败: {e}")
                # 不直接返回，让后面的 AI 兜底有机会执行

            # 方法4: 兜底使用 AI 分析 HTML，猜测上传入口
            try:
                frame_url = getattr(frame, "url", "")
                html_full = await frame.content()
                html_for_ai = await self._extract_relevant_html_snippets(html_full)
                print(f"[{self.platform_name}] [{frame_name}] frame_url={frame_url}, html_len={len(html_full)}, html_for_ai_len={len(html_for_ai)}")

                ai_selector = await self.ai_find_upload_selector(html_for_ai, frame_name=frame_name)
                if ai_selector:
                    try:
                        el = frame.locator(ai_selector).first
                        if await el.count() > 0:
                            print(f"[{self.platform_name}] [{frame_name}] 使用 AI 选择器点击上传入口: {ai_selector}")
                            try:
                                async with self.page.expect_file_chooser(timeout=5000) as fc_info:
                                    await el.click()
                                chooser = await fc_info.value
                                await chooser.set_files(params.video_path)
                                upload_success = True
                                print(f"[{self.platform_name}] [{frame_name}] 通过 AI 选择器上传成功")
                                return True
                            except Exception as e:
                                print(f"[{self.platform_name}] [{frame_name}] AI 选择器点击失败，改为直接 set_input_files: {e}")
                                try:
                                    await el.set_input_files(params.video_path)
                                    upload_success = True
                                    print(f"[{self.platform_name}] [{frame_name}] AI 选择器直接 set_input_files 成功")
                                    return True
                                except Exception as e2:
                                    print(f"[{self.platform_name}] [{frame_name}] AI 选择器 set_input_files 仍失败: {e2}")
                    except Exception as e:
                        print(f"[{self.platform_name}] [{frame_name}] 使用 AI 选择器定位元素失败: {e}")
                else:
                    # 如果 AI 无法从 HTML 推断，退一步：构造候选元素列表交给 AI 选择
                    try:
                        candidates = await frame.evaluate("""
() => {
  function cssEscape(s) {
    try { return CSS.escape(s); } catch (e) { return s.replace(/[^a-zA-Z0-9_-]/g, '\\\\$&'); }
  }
  function buildSelector(el) {
    if (!el || el.nodeType !== 1) return '';
    if (el.id) return `#${cssEscape(el.id)}`;
    let parts = [];
    let cur = el;
    for (let depth = 0; cur && cur.nodeType === 1 && depth < 5; depth++) {
      let part = cur.tagName.toLowerCase();
      const role = cur.getAttribute('role');
      const type = cur.getAttribute('type');
      if (type) part += `[type="${type}"]`;
      if (role) part += `[role="${role}"]`;
      const cls = (cur.className || '').toString().trim().split(/\\s+/).filter(Boolean);
      if (cls.length) part += '.' + cls.slice(0, 2).map(cssEscape).join('.');
      // nth-of-type
      let idx = 1;
      let sib = cur;
      while (sib && (sib = sib.previousElementSibling)) {
        if (sib.tagName === cur.tagName) idx++;
      }
      part += `:nth-of-type(${idx})`;
      parts.unshift(part);
      cur = cur.parentElement;
    }
    return parts.join(' > ');
  }

  const nodes = Array.from(document.querySelectorAll('input, button, a, div, span'))
    .filter(el => {
      const tag = el.tagName.toLowerCase();
      const type = (el.getAttribute('type') || '').toLowerCase();
      const role = (el.getAttribute('role') || '').toLowerCase();
      const aria = (el.getAttribute('aria-label') || '').toLowerCase();
      const txt = (el.innerText || '').trim().slice(0, 60);
      const cls = (el.className || '').toString().toLowerCase();
      const isFile = tag === 'input' && type === 'file';
      const looksClickable =
        tag === 'button' || tag === 'a' || role === 'button' || el.onclick ||
        cls.includes('upload') || cls.includes('uploader') || cls.includes('drag') ||
        aria.includes('上传') || aria.includes('选择') || aria.includes('添加') ||
        txt.includes('上传') || txt.includes('选择') || txt.includes('添加') || txt.includes('点击上传');
      if (!isFile && !looksClickable) return false;
      const r = el.getBoundingClientRect();
      const visible = r.width > 5 && r.height > 5;
      return visible;
    });

  const limited = nodes.slice(0, 120).map(el => ({
    css: buildSelector(el),
    tag: el.tagName.toLowerCase(),
    type: el.getAttribute('type') || '',
    role: el.getAttribute('role') || '',
    ariaLabel: el.getAttribute('aria-label') || '',
    text: (el.innerText || '').trim().slice(0, 80),
    id: el.id || '',
    className: (el.className || '').toString().slice(0, 120),
    accept: el.getAttribute('accept') || '',
  }));
  return limited;
}
""")
                        ai_selector2 = await self.ai_pick_selector_from_candidates(
                            candidates=candidates,
                            goal="上传视频入口",
                            frame_name=frame_name
                        )
                        if ai_selector2:
                            el2 = frame.locator(ai_selector2).first
                            if await el2.count() > 0:
                                print(f"[{self.platform_name}] [{frame_name}] 使用 AI 候选选择器点击上传入口: {ai_selector2}")
                                try:
                                    async with self.page.expect_file_chooser(timeout=5000) as fc_info:
                                        await el2.click()
                                    chooser2 = await fc_info.value
                                    await chooser2.set_files(params.video_path)
                                    upload_success = True
                                    print(f"[{self.platform_name}] [{frame_name}] 通过 AI 候选选择器上传成功")
                                    return True
                                except Exception as e:
                                    print(f"[{self.platform_name}] [{frame_name}] AI 候选选择器点击失败，尝试 set_input_files: {e}")
                                    try:
                                        await el2.set_input_files(params.video_path)
                                        upload_success = True
                                        print(f"[{self.platform_name}] [{frame_name}] AI 候选选择器 set_input_files 成功")
                                        return True
                                    except Exception as e2:
                                        print(f"[{self.platform_name}] [{frame_name}] AI 候选选择器 set_input_files 仍失败: {e2}")
                    except Exception as e:
                        print(f"[{self.platform_name}] [{frame_name}] 构造候选并交给 AI 失败: {e}")
            except Exception as e:
                print(f"[{self.platform_name}] [{frame_name}] AI 上传入口识别整体失败: {e}")

            return False

        # 先尝试主 frame
        try:
            await _try_set_files_in_frame(self.page.main_frame, "main")
        except Exception as e:
            print(f"[{self.platform_name}] main frame 上传尝试异常: {e}")

        # 再遍历所有子 frame
        if not upload_success:
            try:
                frames = self.page.frames
                print(f"[{self.platform_name}] 发现 frames: {len(frames)}")
                for idx, fr in enumerate(frames):
                    if upload_success:
                        break
                    # main_frame 已尝试过
                    if fr == self.page.main_frame:
                        continue
                    name = fr.name or f"frame-{idx}"
                    await _try_set_files_in_frame(fr, name)
            except Exception as e:
                print(f"[{self.platform_name}] 遍历 frames 异常: {e}")
        
        if not upload_success:
            screenshot_base64 = await self.capture_screenshot()
            return PublishResult(
                success=False,
                platform=self.platform_name,
                error="未找到上传入口（可能在 iframe 中或页面结构已变更）",
                screenshot_base64=screenshot_base64,
                page_url=await self.get_page_url(),
                status='failed'
            )
        
        self.report_progress(20, "正在填充标题和话题...")
        
        # 添加标题和话题
        await self.add_title_tags(params)
        
        self.report_progress(30, "等待视频上传完成...")
        
        # 等待上传完成
        for _ in range(120):
            try:
                button_info = await self.page.get_by_role("button", name="发表").get_attribute('class')
                if "weui-desktop-btn_disabled" not in button_info:
                    print(f"[{self.platform_name}] 视频上传完毕")
                    
                    # 上传封面
                    self.report_progress(50, "正在上传封面...")
                    await self.upload_cover(params.cover_path)
                    break
                else:
                    # 检查上传错误
                    if await self.page.locator('div.status-msg.error').count():
                        if await self.page.locator('div.media-status-content div.tag-inner:has-text("删除")').count():
                            await self.handle_upload_error(params.video_path)
                    
                    await asyncio.sleep(3)
            except:
                await asyncio.sleep(3)
        
        self.report_progress(60, "处理视频设置...")
        
        # 添加短标题
        try:
            short_title_el = self.page.get_by_text("短标题", exact=True).locator("..").locator(
                "xpath=following-sibling::div").locator('span input[type="text"]')
            if await short_title_el.count():
                short_title = format_short_title(params.title)
                await short_title_el.fill(short_title)
        except:
            pass
        
        # 定时发布
        if params.publish_date:
            self.report_progress(70, "设置定时发布...")
            await self.set_schedule_time(params.publish_date)
        
        self.report_progress(80, "正在发布...")
        
        # 点击发布 - 参考 matrix
        for i in range(30):
            try:
                # 参考 matrix: div.form-btns button:has-text("发表")
                publish_btn = self.page.locator('div.form-btns button:has-text("发表")')
                if await publish_btn.count():
                    print(f"[{self.platform_name}] 点击发布按钮...")
                    await publish_btn.click()
                
                # 等待跳转到作品列表页面 - 参考 matrix
                await self.page.wait_for_url(
                    "https://channels.weixin.qq.com/platform/post/list",
                    timeout=10000
                )
                self.report_progress(100, "发布成功")
                print(f"[{self.platform_name}] 视频发布成功!")
                screenshot_base64 = await self.capture_screenshot()
                return PublishResult(
                    success=True,
                    platform=self.platform_name,
                    message="发布成功",
                    screenshot_base64=screenshot_base64,
                    page_url=self.page.url,
                    status='success'
                )
            except Exception as e:
                current_url = self.page.url
                if "https://channels.weixin.qq.com/platform/post/list" in current_url:
                    self.report_progress(100, "发布成功")
                    print(f"[{self.platform_name}] 视频发布成功!")
                    screenshot_base64 = await self.capture_screenshot()
                    return PublishResult(
                        success=True,
                        platform=self.platform_name,
                        message="发布成功",
                        screenshot_base64=screenshot_base64,
                        page_url=current_url,
                        status='success'
                    )
                else:
                    print(f"[{self.platform_name}] 视频正在发布中... {i+1}/30, URL: {current_url}")
                    await asyncio.sleep(1)
        
        # 发布超时
        screenshot_base64 = await self.capture_screenshot()
        page_url = await self.get_page_url()
        return PublishResult(
            success=False,
            platform=self.platform_name,
            error="发布超时，请检查发布状态",
            screenshot_base64=screenshot_base64,
            page_url=page_url,
            status='need_action'
        )

    async def _get_works_fallback_dom(self, page_size: int) -> tuple:
        """API 失败时从当前页面 DOM 抓取作品列表（兼容新账号/不同入口）"""
        works: List[WorkItem] = []
        total = 0
        has_more = False
        try:
            for selector in ["div.post-feed-item", "[class*='post-feed']", "[class*='feed-item']", "div[class*='post']"]:
                try:
                    await self.page.wait_for_selector(selector, timeout=8000)
                    break
                except Exception:
                    continue
            post_items = self.page.locator("div.post-feed-item")
            item_count = await post_items.count()
            if item_count == 0:
                post_items = self.page.locator("[class*='post-feed']")
                item_count = await post_items.count()
            for i in range(min(item_count, page_size)):
                try:
                    item = post_items.nth(i)
                    cover_el = item.locator("div.media img.thumb").first
                    cover_url = await cover_el.get_attribute("src") or "" if await cover_el.count() > 0 else ""
                    if not cover_url:
                        cover_el = item.locator("img").first
                        cover_url = await cover_el.get_attribute("src") or "" if await cover_el.count() > 0 else ""
                    title_el = item.locator("div.post-title").first
                    title = (await title_el.text_content() or "").strip() if await title_el.count() > 0 else ""
                    time_el = item.locator("div.post-time span").first
                    publish_time = (await time_el.text_content() or "").strip() if await time_el.count() > 0 else ""
                    play_count = like_count = comment_count = share_count = collect_count = 0
                    data_items = item.locator("div.post-data div.data-item")
                    for j in range(await data_items.count()):
                        data_item = data_items.nth(j)
                        count_text = (await data_item.locator("span.count").text_content() or "0").strip()
                        if await data_item.locator("span.weui-icon-outlined-eyes-on").count() > 0:
                            play_count = self._parse_count(count_text)
                        elif await data_item.locator("span.weui-icon-outlined-like").count() > 0:
                            like_count = self._parse_count(count_text)
                        elif await data_item.locator("span.weui-icon-outlined-comment").count() > 0:
                            comment_count = self._parse_count(count_text)
                        elif await data_item.locator("use[xlink\\:href='#icon-share']").count() > 0:
                            share_count = self._parse_count(count_text)
                        elif await data_item.locator("use[xlink\\:href='#icon-thumb']").count() > 0:
                            collect_count = self._parse_count(count_text)
                    work_id = f"weixin_{i}_{hash(title)}_{hash(publish_time)}"
                    works.append(WorkItem(
                        work_id=work_id,
                        title=title or "无标题",
                        cover_url=cover_url,
                        duration=0,
                        status="published",
                        publish_time=publish_time,
                        play_count=play_count,
                        like_count=like_count,
                        comment_count=comment_count,
                        share_count=share_count,
                        collect_count=collect_count,
                    ))
                except Exception as e:
                    print(f"[{self.platform_name}] DOM 解析作品 {i} 失败: {e}", flush=True)
                    continue
            total = len(works)
            has_more = item_count > page_size
            print(f"[{self.platform_name}] DOM 回退获取 {len(works)} 条", flush=True)
        except Exception as e:
            print(f"[{self.platform_name}] DOM 回退失败: {e}", flush=True)
        return (works, total, has_more, "")
    
    async def get_works(self, cookies: str, page: int = 0, page_size: int = 20) -> WorksResult:
        """获取视频号作品列表（调用 post_list 接口）
        page: 页码从 0 开始，或上一页返回的 rawKeyBuff/lastBuff 字符串
        """
        # 分页：首页 currentPage=1/rawKeyBuff=null，下一页用 currentPage 递增或 rawKeyBuff
        if page is None or page == "" or (isinstance(page, int) and page == 0):
            current_page = 1
            raw_key_buff = None
        elif isinstance(page, int):
            current_page = page + 1
            raw_key_buff = None
        else:
            current_page = 1
            raw_key_buff = str(page)
        ts_ms = str(int(time.time() * 1000))
        print(f"\n{'='*60}")
        print(f"[{self.platform_name}] 获取作品列表 currentPage={current_page}, pageSize={page_size}, rawKeyBuff={raw_key_buff[:40] if raw_key_buff else 'null'}...")
        print(f"{'='*60}")
        
        works: List[WorkItem] = []
        total = 0
        has_more = False
        next_page = ""
        
        try:
            await self.init_browser()
            cookie_list = self.parse_cookies(cookies)
            await self.set_cookies(cookie_list)
            
            if not self.page:
                raise Exception("Page not initialized")
            
            await self.page.goto("https://channels.weixin.qq.com/platform/post/list", timeout=30000)
            await asyncio.sleep(3)
            
            current_url = self.page.url
            if "login" in current_url:
                raise Exception("Cookie 已过期，请重新登录") 
            
            api_url = "https://channels.weixin.qq.com/micro/content/cgi-bin/mmfinderassistant-bin/post/post_list"
            req_body = {
                "pageSize": page_size,
                "currentPage": current_page,
                "userpageType": 11,
                "stickyOrder": True,
                "timestamp": ts_ms,
                "_log_finder_uin": "",
                "_log_finder_id": "",
                "rawKeyBuff": raw_key_buff,
                "pluginSessionId": None,
                "scene": 7,
                "reqScene": 7,
            }
            body_str = json.dumps(req_body)
            
            response = await self.page.evaluate("""
                async ([url, bodyStr]) => {
                    try {
                        const resp = await fetch(url, {
                            method: 'POST',
                            credentials: 'include',
                            headers: {
                                'Content-Type': 'application/json',
                                'Accept': '*/*',
                                'Referer': 'https://channels.weixin.qq.com/platform/post/list'
                            },
                            body: bodyStr
                        });
                        return await resp.json();
                    } catch (e) {
                        return { error: e.toString() };
                    }
                }
            """, [api_url, body_str])
            
            is_first_page = current_page == 1 and raw_key_buff is None
            if response.get("error"):
                print(f"[{self.platform_name}] API 请求失败: {response.get('error')}", flush=True)
                if is_first_page:
                    works, total, has_more, next_page = await self._get_works_fallback_dom(page_size)
                    if works:
                        return WorksResult(success=True, platform=self.platform_name, works=works, total=total, has_more=has_more, next_page=next_page)
                return WorksResult(success=False, platform=self.platform_name, error=response.get("error", "API 请求失败"))
            
            err_code = response.get("errCode", -1)
            if err_code != 0:
                err_msg = response.get("errMsg", "unknown")
                print(f"[{self.platform_name}] API errCode={err_code}, errMsg={err_msg}, 完整响应(前800字): {json.dumps(response, ensure_ascii=False)[:800]}", flush=True)
                if is_first_page:
                    works, total, has_more, next_page = await self._get_works_fallback_dom(page_size)
                    if works:
                        return WorksResult(success=True, platform=self.platform_name, works=works, total=total, has_more=has_more, next_page=next_page)
                return WorksResult(success=False, platform=self.platform_name, error=f"errCode={err_code}, errMsg={err_msg}")
            
            data = response.get("data") or {}
            raw_list = data.get("list") or []
            total = int(data.get("totalCount") or 0)
            has_more = bool(data.get("continueFlag", False))
            next_page = (data.get("lastBuff") or "").strip()
            
            print(f"[{self.platform_name}] API 响应: list_len={len(raw_list)}, totalCount={total}, continueFlag={has_more}, lastBuff={next_page[:50] if next_page else ''}...")
            
            if is_first_page and len(raw_list) == 0:
                works_fb, total_fb, has_more_fb, _ = await self._get_works_fallback_dom(page_size)
                if works_fb:
                    return WorksResult(success=True, platform=self.platform_name, works=works_fb, total=total_fb, has_more=has_more_fb, next_page="")
            
            for item in raw_list:
                try:
                    # 存 works.platform_video_id 统一用 post_list 接口回参中的 exportId（如 export/xxx）
                    work_id = str(item.get("exportId") or item.get("objectId") or item.get("id") or "").strip()
                    if not work_id:
                        work_id = f"weixin_{hash(item.get('createTime',0))}_{hash(item.get('desc', {}).get('description',''))}"
                    
                    desc = item.get("desc") or {}
                    title = (desc.get("description") or "").strip() or "无标题"
                    cover_url = ""
                    duration = 0
                    media_list = desc.get("media") or []
                    if media_list and isinstance(media_list[0], dict):
                        m = media_list[0]
                        cover_url = (m.get("coverUrl") or m.get("thumbUrl") or "").strip()
                        duration = int(m.get("videoPlayLen") or 0)
                    
                    create_ts = item.get("createTime") or 0
                    if isinstance(create_ts, (int, float)) and create_ts:
                        publish_time = datetime.fromtimestamp(create_ts).strftime("%Y-%m-%d %H:%M:%S")
                    else:
                        publish_time = str(create_ts) if create_ts else ""
                    
                    read_count = int(item.get("readCount") or 0)
                    like_count = int(item.get("likeCount") or 0)
                    comment_count = int(item.get("commentCount") or 0)
                    forward_count = int(item.get("forwardCount") or 0)
                    fav_count = int(item.get("favCount") or 0)
                    
                    works.append(WorkItem(
                        work_id=work_id,
                        title=title,
                        cover_url=cover_url,
                        duration=duration,
                        status="published",
                        publish_time=publish_time,
                        play_count=read_count,
                        like_count=like_count,
                        comment_count=comment_count,
                        share_count=forward_count,
                        collect_count=fav_count,
                    ))
                except Exception as e:
                    print(f"[{self.platform_name}] 解析作品项失败: {e}", flush=True)
                    continue
            
            if total == 0 and works:
                total = len(works)
            print(f"[{self.platform_name}] 本页获取 {len(works)} 条，totalCount={total}, next_page={bool(next_page)}")
            
        except Exception as e:
            import traceback
            traceback.print_exc()
            return WorksResult(success=False, platform=self.platform_name, error=str(e))
        
        return WorksResult(success=True, platform=self.platform_name, works=works, total=total, has_more=has_more, next_page=next_page)
    

    async def get_comments(self, cookies: str, work_id: str, cursor: str = "") -> CommentsResult:
        """
        获取视频号作品评论（完全参考 get_weixin_work_comments.py 的接口监听逻辑）
        支持递归提取二级评论，正确处理 parent_comment_id
        """
        print(f"\n{'='*60}")
        print(f"[{self.platform_name}] 获取作品评论")
        print(f"[{self.platform_name}] work_id={work_id}")
        print(f"{'='*60}")
        
        comments: List[CommentItem] = []
        total = 0
        has_more = False
        
        try:
            await self.init_browser()
            cookie_list = self.parse_cookies(cookies)
            await self.set_cookies(cookie_list)
            
            if not self.page:
                raise Exception("Page not initialized")
            
            # 访问评论管理页面
            print(f"[{self.platform_name}] 正在打开评论页面...")
            await self.page.goto("https://channels.weixin.qq.com/platform/interaction/comment", timeout=30000)
            await asyncio.sleep(2)
            
            # 检查登录状态
            current_url = self.page.url
            if "login" in current_url:
                raise Exception("Cookie 已过期，请重新登录")
            
            # === 步骤1: 监听 post_list 接口获取作品列表 ===
            posts = []
            try:
                async with self.page.expect_response(
                    lambda res: "/post/post_list" in res.url,
                    timeout=20000
                ) as post_resp_info:
                    await self.page.wait_for_selector('.scroll-list .comment-feed-wrap', timeout=15000)
                
                post_resp = await post_resp_info.value
                post_data = await post_resp.json()
                
                if post_data.get("errCode") == 0:
                    posts = post_data.get("data", {}).get("list", [])
                    print(f"[{self.platform_name}] ✅ 获取 {len(posts)} 个作品")
                else:
                    err_msg = post_data.get("errMsg", "未知错误")
                    print(f"[{self.platform_name}] ❌ post_list 业务错误: {err_msg}")
                    return CommentsResult(
                        success=False, 
                        platform=self.platform_name, 
                        work_id=work_id,
                        error=f"post_list 业务错误: {err_msg}"
                    )
            except Exception as e:
                print(f"[{self.platform_name}] ❌ 获取 post_list 失败: {e}")
                return CommentsResult(
                    success=False, 
                    platform=self.platform_name, 
                    work_id=work_id,
                    error=f"获取 post_list 失败: {e}"
                )
            
            # === 步骤2: 在 DOM 中查找目标作品 ===
            feed_wraps = await self.page.query_selector_all('.scroll-list .comment-feed-wrap')
            target_feed = None
            target_post = None
            target_index = -1
            
            for i, feed in enumerate(feed_wraps):
                if i >= len(posts):
                    break
                
                post = posts[i]
                object_nonce = post.get("objectNonce", "")
                post_work_id = post.get("objectId", "") or object_nonce
                
                # 匹配 work_id（支持 objectId 或 objectNonce 匹配）
                if work_id in [post_work_id, object_nonce] or post_work_id in work_id or object_nonce in work_id:
                    target_feed = feed
                    target_post = post
                    target_index = i
                    work_title = post.get("desc", {}).get("description", "无标题")
                    print(f"[{self.platform_name}] ✅ 找到目标作品: {work_title}")
                    continue
            
            if not target_feed or not target_post:
                print(f"[{self.platform_name}] ❌ 未找到 work_id={work_id} 对应的作品")
                return CommentsResult(
                    success=True, 
                    platform=self.platform_name, 
                    work_id=work_id,
                    comments=[],
                    total=0,
                    has_more=False
                )
            
            # 准备作品信息（用于递归函数）
            object_nonce = target_post.get("objectNonce", f"nonce_{target_index}")
            work_title = target_post.get("desc", {}).get("description", f"作品{target_index+1}")
            
            work_info = {
                "work_id": object_nonce,
                "work_title": work_title
            }
            
            # === 步骤3: 点击作品触发 comment_list 接口 ===
            content_wrap = await target_feed.query_selector('.feed-content') or target_feed
            
            try:
                async with self.page.expect_response(
                    lambda res: "/comment/comment_list" in res.url,
                    timeout=15000
                ) as comment_resp_info:
                    await content_wrap.click()
                    await asyncio.sleep(0.8)
                
                comment_resp = await comment_resp_info.value
                comment_data = await comment_resp.json()
                
                if comment_data.get("errCode") != 0:
                    err_msg = comment_data.get("errMsg", "未知错误")
                    print(f"[{self.platform_name}] ❌ 评论接口错误: {err_msg}")
                    return CommentsResult(
                        success=False, 
                        platform=self.platform_name, 
                        work_id=work_id,
                        error=f"评论接口错误: {err_msg}"
                    )
                
                raw_comments = comment_data.get("data", {}).get("comment", [])
                total = comment_data.get("data", {}).get("totalCount", len(raw_comments))
                
                print(f"[{self.platform_name}] 📊 原始评论数: {len(raw_comments)}, 总数: {total}")
                
                # === 步骤4: 递归提取所有评论（含子评论）===
                extracted = self._extract_comments(raw_comments, parent_id="", work_info=work_info)
                
                # === 步骤5: 转换为 CommentItem 列表（保留 weixin.py 的数据结构）===
                for c in extracted:
                    # 使用接口返回的 comment_id
                    comment_id = c.get("comment_id", "")
                    parent_comment_id = c.get("parent_comment_id", "")
                    
                    # 构建 CommentItem（保留原有数据结构用于数据库入库）
                    comment_item = CommentItem(
                        comment_id=comment_id,
                        parent_comment_id=parent_comment_id,
                        work_id=work_id,
                        content=c.get("content", ""),
                        author_id=c.get("username", ""),  # 使用 username 作为 author_id
                        author_name=c.get("nickname", ""),
                        author_avatar=c.get("avatar", ""),
                        like_count=c.get("like_count", 0),
                        reply_count=0,
                        create_time=c.get("create_time", ""),
                    )
                    
                    # 添加扩展字段（用于数据库存储和后续处理）
                    # comment_item.parent_comment_id = c.get("parent_comment_id", "")
                    comment_item.is_author = c.get("is_author", False)
                    comment_item.create_time_unix = c.get("create_time_unix", 0)
                    comment_item.work_title = c.get("work_title", "")
                    print(comment_item)
                    comments.append(comment_item) 
                    
                    # 打印日志
                    author_tag = " 👤(作者)" if c.get("is_author") else ""
                    parent_tag = f" [回复: {c.get('parent_comment_id', '')}]" if c.get("parent_comment_id") else ""
                    print(f"[{self.platform_name}]   - [{c.get('nickname', '')}] {c.get('content', '')[:30]}... "
                          f"({c.get('create_time', '')}){author_tag}{parent_tag}")
                
                # 判断是否还有更多（优先使用接口返回的 continueFlag，否则根据数量判断）
                has_more = comment_data.get("data", {}).get("continueFlag", False) or len(extracted) < total
                
                print(f"[{self.platform_name}] ✅ 共提取 {len(comments)} 条评论（含子评论）")
                
            except Exception as e:
                print(f"[{self.platform_name}] ❌ 获取评论失败: {e}")
                import traceback
                traceback.print_exc()
                return CommentsResult(
                    success=False, 
                    platform=self.platform_name, 
                    work_id=work_id,
                    error=f"获取评论失败: {e}"
                )
            
        except Exception as e:
            import traceback
            traceback.print_exc()
            return CommentsResult(
                success=False, 
                platform=self.platform_name, 
                work_id=work_id, 
                error=str(e)
            )
        
        return CommentsResult(
            success=True, 
            platform=self.platform_name, 
            work_id=work_id, 
            comments=comments, 
            total=total, 
            has_more=has_more
        )

    def _extract_comments(self, comment_list: list, parent_id: str = "", work_info: dict = None) -> list:
        """
        递归提取一级和二级评论（完全参考 get_weixin_work_comments.py 的 extract_comments 函数）
        
        Args:
            comment_list: 评论列表（原始接口数据）
            parent_id: 父评论ID（一级评论为空字符串""，二级评论为父级评论ID）
            work_info: 作品信息字典
        
        Returns:
            list: 扁平化的评论列表，包含一级和二级评论
        """
        result = []
        
        # 获取当前用户 username（用于判断是否为作者）
        # 优先从环境变量获取，也可通过其他方式配置
        my_username = getattr(self, 'my_username', '') or os.environ.get('WEIXIN_MY_USERNAME', '')
        
        for cmt in comment_list:
            # 处理时间戳
            create_ts = int(cmt.get("commentCreatetime", 0) or 0)
            readable_time = (
                datetime.fromtimestamp(create_ts).strftime('%Y-%m-%d %H:%M:%S')
                if create_ts > 0 else ""
            )
            
            # 判断是否作者（如果配置了 my_username）
            username = cmt.get("username", "") or ""
            is_author = (my_username != "") and (username == my_username)
            
            # 构建评论条目 - 完全参考 get_weixin_work_comments.py 的字段
            entry = {
                "work_id": work_info.get("work_id", "") if work_info else "",
                "work_title": work_info.get("work_title", "") if work_info else "",
                "comment_id": cmt.get("commentId"),
                "parent_comment_id": parent_id,  # 关键：一级评论为空字符串""，二级评论为父评论ID
                "username": username,
                "nickname": cmt.get("commentNickname", ""),
                "avatar": cmt.get("commentHeadurl", ""),
                "content": cmt.get("commentContent", ""),
                "create_time_unix": create_ts,
                "create_time": readable_time,
                "is_author": is_author,
                "like_count": cmt.get("commentLikeCount", 0) or 0
            }
            result.append(entry)
            
            # 递归处理二级评论（levelTwoComment）
            # 关键：二级评论的 parent_id 应该是当前这条评论的 comment_id
            level_two = cmt.get("levelTwoComment", []) or []
            if level_two and isinstance(level_two, list) and len(level_two) > 0:
                # 当前评论的 ID 作为其子评论的 parent_id
                current_comment_id = cmt.get("commentId", "")
                result.extend(
                    self._extract_comments(level_two, parent_id=current_comment_id, work_info=work_info)
                )
        
        return result


    async def auto_reply_private_messages(self, cookies: str) -> dict:
        """自动回复私信 - 集成自 pw3.py"""
        print(f"\n{'='*60}")
        print(f"[{self.platform_name}] 开始自动回复私信")
        print(f"{'='*60}")
        
        try:
            await self.init_browser()
            cookie_list = self.parse_cookies(cookies)
            await self.set_cookies(cookie_list)
            
            if not self.page:
                raise Exception("Page not initialized")
            
            # 访问私信页面
            await self.page.goto("https://channels.weixin.qq.com/platform/private_msg", timeout=30000)
            await asyncio.sleep(3)
            
            # 检查登录状态
            current_url = self.page.url
            print(f"[{self.platform_name}] 当前 URL: {current_url}")
            
            if "login" in current_url:
                raise Exception("Cookie 已过期，请重新登录")
            
            # 等待私信页面加载（使用多个选择器容错）
            try:
                await self.page.wait_for_selector('.private-msg-list-header', timeout=15000)
            except:
                # 尝试其他选择器
                try:
                    await self.page.wait_for_selector('.weui-desktop-tab__navs__inner', timeout=10000)
                    print(f"[{self.platform_name}] 使用备用选择器加载成功")
                except:
                    # 截图调试
                    screenshot_path = f"weixin_private_msg_{int(asyncio.get_event_loop().time())}.png"
                    await self.page.screenshot(path=screenshot_path)
                    print(f"[{self.platform_name}] 页面加载失败，截图: {screenshot_path}")
                    raise Exception(f"私信页面加载超时，当前 URL: {current_url}")
            
            print(f"[{self.platform_name}] 私信页面加载完成")
            
            # 处理两个 tab
            total_replied = 0
            for tab_name in ["打招呼消息", "私信"]:
                replied_count = await self._process_tab_sessions(tab_name)
                total_replied += replied_count
            
            print(f"[{self.platform_name}] 自动回复完成，共回复 {total_replied} 条消息")
            
            return {
                'success': True,
                'platform': self.platform_name,
                'replied_count': total_replied,
                'message': f'成功回复 {total_replied} 条私信'
            }
            
        except Exception as e:
            import traceback
            traceback.print_exc()
            return {
                'success': False,
                'platform': self.platform_name,
                'error': str(e)
            }
    
    async def _process_tab_sessions(self, tab_name: str) -> int:
        """处理指定 tab 下的所有会话"""
        print(f"\n🔄 正在处理「{tab_name}」中的所有会话...")
        
        if not self.page:
            return 0
        
        replied_count = 0
        
        try:
            # 点击 tab
            if tab_name == "私信":
                tab_link = self.page.locator('.weui-desktop-tab__navs__inner li').first.locator('a')
            elif tab_name == "打招呼消息":
                tab_link = self.page.locator('.weui-desktop-tab__navs__inner li').nth(1).locator('a')
            else:
                return 0
            
            if await tab_link.is_visible():
                await tab_link.click()
                print(f"  ➤ 已点击「{tab_name}」tab")
            else:
                print(f"  ❌ 「{tab_name}」tab 不可见")
                return 0
            
            # 等待会话列表加载
            try:
                await self.page.wait_for_function("""
                    () => {
                        const hasSession = document.querySelectorAll('.session-wrap').length > 0;
                        const hasEmpty = !!document.querySelector('.empty-text');
                        return hasSession || hasEmpty;
                    }
                """, timeout=8000)
                print("  ✅ 会话列表区域已加载")
            except:
                print("  ⚠️ 等待会话列表超时，继续尝试读取...")
            
            # 获取会话
            session_wraps = self.page.locator('.session-wrap')
            session_count = await session_wraps.count()
            print(f"  💬 共找到 {session_count} 个会话")
            
            if session_count == 0:
                return 0
            
            # 遍历每个会话
            for idx in range(session_count):
                try:
                    current_sessions = self.page.locator('.session-wrap')
                    if idx >= await current_sessions.count():
                        break
                    
                    session = current_sessions.nth(idx)
                    user_name = await session.locator('.name').inner_text()
                    last_preview = await session.locator('.feed-info').inner_text()
                    print(f"\n  ➤ [{idx+1}/{session_count}] 正在处理: {user_name} | 最后消息: {last_preview}")
                    
                    await session.click()
                    await asyncio.sleep(2)
                    
                    # 提取聊天历史
                    history = await self._extract_chat_history()
                    need_reply = (not history) or (not history[-1]["is_author"])
                    
                    if need_reply:
                        reply_text = await self._generate_reply_with_ai(history)
                        if reply_text=="":
                            reply_text = self._generate_reply(history)
                        # # 生成回复
                        # if history and history[-1]["is_author"]:
                        #     reply_text = await self._generate_reply_with_ai(history)
                        # else:
                        #     reply_text = self._generate_reply(history)
                        
                        if reply_text:
                            print(f"    📝 回复内容: {reply_text}")
                            try:
                                textarea = self.page.locator('.edit_area').first
                                send_btn = self.page.locator('button:has-text("发送")').first
                                if await textarea.is_visible() and await send_btn.is_visible():
                                    await textarea.fill(reply_text)
                                    await asyncio.sleep(0.5)
                                    await send_btn.click()
                                    print("    ✅ 已发送")
                                    replied_count += 1
                                    await asyncio.sleep(1.5)
                                else:
                                    print("    ❌ 输入框或发送按钮不可见")
                            except Exception as e:
                                print(f"    ❌ 发送失败: {e}")
                        else:
                            print("    ➤ 无需回复")
                    else:
                        print("    ➤ 最后一条是我发的，跳过回复")
                    
                except Exception as e:
                    print(f"  ❌ 处理会话 {idx+1} 时出错: {e}")
                    continue
        
        except Exception as e:
            print(f"❌ 处理「{tab_name}」失败: {e}")
        
        return replied_count
    
    async def _extract_chat_history(self) -> list:
        """精准提取聊天记录，区分作者（自己）和用户"""
        if not self.page:
            return []
        
        history = []
        message_wrappers = self.page.locator('.session-content-wrapper > div:not(.footer) > .text-wrapper')
        count = await message_wrappers.count()
        
        for i in range(count):
            try:
                wrapper = message_wrappers.nth(i)
                # 判断方向
                is_right = await wrapper.locator('.content-right').count() > 0
                is_left = await wrapper.locator('.content-left').count() > 0
                
                if not (is_left or is_right):
                    continue
                
                # 提取消息文本
                pre_el = wrapper.locator('pre.message-plain')
                content = ''
                if await pre_el.count() > 0:
                    content = await pre_el.inner_text()
                    content = content.strip()
                
                if not content:
                    continue
                
                # 获取头像
                avatar_img = wrapper.locator('.avatar').first
                avatar_src = ''
                if await avatar_img.count() > 0:
                    avatar_src = await avatar_img.get_attribute("src") or ''
                
                # 右侧 = 作者（自己）
                is_author = is_right
                
                # 获取用户名
                if is_left:
                    name_el = wrapper.locator('.profile .name')
                    author_name = '用户'
                    if await name_el.count() > 0:
                        author_name = await name_el.inner_text()
                else:
                    author_name = "我"
                
                history.append({
                    "author": author_name,
                    "content": content,
                    "is_author": is_author,
                    "avatar": avatar_src
                })
            except Exception as e:
                print(f"  ⚠️ 解析第 {i+1} 条消息失败: {e}")
                continue
        
        return history
    
    async def _generate_reply_with_ai(self, chat_history: list) -> str:
        """使用 AI 生成智能回复"""
        import requests
        import json
        
        try:
            # 获取 AI 配置
            ai_api_key = os.environ.get('DASHSCOPE_API_KEY', '')
            ai_base_url = os.environ.get('DASHSCOPE_BASE_URL', 'https://dashscope.aliyuncs.com/compatible-mode/v1')
            ai_model = os.environ.get('AI_MODEL', 'qwen-plus')
            
            
            if not ai_api_key:
                print("⚠️ 未配置 AI API Key，使用规则回复")
                return self._generate_reply(chat_history)
            
            # 构建对话上下文
            messages = [{"role": "system", "content": "你是一个友好的微信视频号创作者助手，负责回复粉丝私信。请保持简洁、友好、专业的语气。回复长度不超过20字。"}]
            
            for msg in chat_history:
                role = "assistant" if msg["is_author"] else "user"
                messages.append({
                    "role": role,
                    "content": msg["content"]
                })
            
            # 调用 AI API
            headers = {
                'Authorization': f'Bearer {ai_api_key}',
                'Content-Type': 'application/json'
            }
            
            payload = {
                "model": ai_model,
                "messages": messages,
                "max_tokens": 150,
                "temperature": 0.8
            }
            
            print("  🤖 正在调用 AI 生成回复...")
            response = requests.post(
                f"{ai_base_url}/chat/completions",
                headers=headers,
                json=payload,
                timeout=30
            )
            
            if response.status_code != 200:
                print(f"  ⚠️ AI API 返回错误 {response.status_code}，使用规则回复")
                return self._generate_reply(chat_history)
            
            result = response.json()
            ai_reply = result.get('choices', [{}])[0].get('message', {}).get('content', '').strip()
            
            if ai_reply:
                print(f"  ✅ AI 生成回复: {ai_reply}")
                return ai_reply
            else:
                print("  ⚠️ AI 返回空内容，使用规则回复")
                return self._generate_reply(chat_history)
                
        except Exception as e:
            print(f"  ⚠️ AI 回复生成失败: {e}，使用规则回复")
            return self._generate_reply(chat_history)
    
    def _generate_reply(self, chat_history: list) -> str:
        """根据完整聊天历史生成回复（规则回复方式）"""
        if not chat_history:
            return "你好！感谢联系～"
        
        # 检查最后一条是否是作者发的
        if chat_history[-1]["is_author"]:
            return ""  # 不回复
        
        # 找最后一条用户消息
        last_user_msg = chat_history[-1]["content"]
        
        # 简单规则回复
        if "谢谢" in last_user_msg or "感谢" in last_user_msg:
            return "不客气！欢迎常来交流～"
        elif "你好" in last_user_msg or "在吗" in last_user_msg:
            return "你好！请问有什么可以帮您的？"
        elif "视频" in last_user_msg or "怎么拍" in last_user_msg:
            return "视频是用手机拍摄的，注意光线和稳定哦！"
        else:
            return "收到！我会认真阅读您的留言～"