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

# 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"
    # 视频号域名为 channels.weixin.qq.com，cookie 常见 domain 为 .qq.com / .weixin.qq.com 等
    # 这里默认用更宽泛的 .qq.com，避免“字符串 cookie”场景下 domain 兜底不生效
    cookie_domain = ".qq.com"

    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()
        
        # 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
            )
            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)
        
        if storage_state and os.path.exists(storage_state):
            self.context = await self.browser.new_context(storage_state=storage_state)
        else:
            self.context = await self.browser.new_context()
        
        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(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="domcontentloaded", 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(self, cookies: str, page: int = 0, page_size: int = 20) -> WorksResult:
        """获取视频号作品列表"""
        print(f"\n{'='*60}")
        print(f"[{self.platform_name}] 获取作品列表")
        print(f"[{self.platform_name}] page={page}, page_size={page_size}")
        print(f"{'='*60}")
        
        works: List[WorkItem] = []
        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")
            
            # 访问视频号创作者中心
            await self.page.goto("https://channels.weixin.qq.com/platform/post/list")
            await asyncio.sleep(5)
            
            # 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")
            
            # 视频号使用页面爬取方式获取作品列表
            # 等待作品列表加载
            await self.page.wait_for_selector('div.post-feed-wrap', timeout=10000)
            
            # 获取所有作品项
            post_items = self.page.locator('div.post-feed-item')
            item_count = await post_items.count()
            
            print(f"[{self.platform_name}] 找到 {item_count} 个作品项")
            
            for i in range(min(item_count, page_size)):
                try:
                    item = post_items.nth(i)
                    
                    # 获取封面
                    cover_el = item.locator('div.cover-wrap img').first
                    cover_url = ''
                    if await cover_el.count() > 0:
                        cover_url = await cover_el.get_attribute('src') or ''
                    
                    # 获取标题
                    title_el = item.locator('div.content').first
                    title = ''
                    if await title_el.count() > 0:
                        title = await title_el.text_content() or ''
                        title = title.strip()[:50]
                    
                    # 获取统计数据
                    stats_el = item.locator('div.post-data')
                    play_count = 0
                    like_count = 0
                    comment_count = 0
                    
                    if await stats_el.count() > 0:
                        stats_text = await stats_el.text_content() or ''
                        # 解析统计数据（格式可能是: 播放 100 点赞 50 评论 10）
                        import re
                        play_match = re.search(r'播放[\s]*([\d.]+[万]?)', stats_text)
                        like_match = re.search(r'点赞[\s]*([\d.]+[万]?)', stats_text)
                        comment_match = re.search(r'评论[\s]*([\d.]+[万]?)', stats_text)
                        
                        def parse_count(match):
                            if not match:
                                return 0
                            val = match.group(1)
                            if '万' in val:
                                return int(float(val.replace('万', '')) * 10000)
                            return int(val)
                        
                        play_count = parse_count(play_match)
                        like_count = parse_count(like_match)
                        comment_count = parse_count(comment_match)
                    
                    # 获取发布时间
                    time_el = item.locator('div.time')
                    publish_time = ''
                    if await time_el.count() > 0:
                        publish_time = await time_el.text_content() or ''
                        publish_time = publish_time.strip()
                    
                    # 生成临时 work_id（视频号可能需要从详情页获取）
                    work_id = f"weixin_{i}_{hash(title)}"
                    
                    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,
                    ))
                except Exception as e:
                    print(f"[{self.platform_name}] 解析作品 {i} 失败: {e}")
                    continue
            
            total = len(works)
            has_more = item_count > page_size
            print(f"[{self.platform_name}] 获取到 {total} 个作品")
            
        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)
    
    async def get_comments(self, cookies: str, work_id: str, cursor: str = "") -> CommentsResult:
        """获取视频号作品评论"""
        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
            await self.page.goto("https://channels.weixin.qq.com/platform/comment/index")
            await asyncio.sleep(5)
            
            # 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")
            
            # 等待评论列表加载
            try:
                await self.page.wait_for_selector('div.comment-list', timeout=10000)
            except:
                print(f"[{self.platform_name}] 未找到评论列表")
                return CommentsResult(success=True, platform=self.platform_name, work_id=work_id, comments=[], total=0, has_more=False)
            
            # 获取所有评论项
            comment_items = self.page.locator('div.comment-item')
            item_count = await comment_items.count()
            
            print(f"[{self.platform_name}] 找到 {item_count} 个评论项")
            
            for i in range(item_count):
                try:
                    item = comment_items.nth(i)
                    
                    # 获取作者信息
                    author_name = ''
                    author_avatar = ''
                    name_el = item.locator('div.nick-name')
                    if await name_el.count() > 0:
                        author_name = await name_el.text_content() or ''
                        author_name = author_name.strip()
                    
                    avatar_el = item.locator('img.avatar')
                    if await avatar_el.count() > 0:
                        author_avatar = await avatar_el.get_attribute('src') or ''
                    
                    # 获取评论内容
                    content = ''
                    content_el = item.locator('div.comment-content')
                    if await content_el.count() > 0:
                        content = await content_el.text_content() or ''
                        content = content.strip()
                    
                    # 获取时间
                    create_time = ''
                    time_el = item.locator('div.time')
                    if await time_el.count() > 0:
                        create_time = await time_el.text_content() or ''
                        create_time = create_time.strip()
                    
                    # 生成评论 ID
                    comment_id = f"weixin_comment_{i}_{hash(content)}"
                    
                    comments.append(CommentItem(
                        comment_id=comment_id,
                        work_id=work_id,
                        content=content,
                        author_id='',
                        author_name=author_name,
                        author_avatar=author_avatar,
                        like_count=0,
                        reply_count=0,
                        create_time=create_time,
                    ))
                except Exception as e:
                    print(f"[{self.platform_name}] 解析评论 {i} 失败: {e}")
                    continue
            
            total = len(comments)
            print(f"[{self.platform_name}] 获取到 {total} 条评论")
            
        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)