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diff --git a/README_HTTPS.md b/README_HTTPS.md
deleted file mode 100644
index b8cdc70..0000000
--- a/README_HTTPS.md
+++ /dev/null
@@ -1,157 +0,0 @@
-# 快速开始 - HTTPS 后端配置
-
-## 一、安装依赖
-
-```bash
-pip install -r requirements_https.txt
-```
-
-## 二、获取 SSL 证书
-
-### 最简单的方式 - 使用 Let's Encrypt
-
-```bash
-# 1. 安装 certbot
-sudo apt-get install certbot  # Ubuntu/Debian
-# 或
-sudo yum install certbot  # CentOS
-
-# 2. 获取证书（确保80端口开放）
-sudo certbot certonly --standalone -d yourdomain.com -d www.yourdomain.com
-
-# 证书将保存在：
-# /etc/letsencrypt/live/yourdomain.com/fullchain.pem
-# /etc/letsencrypt/live/yourdomain.com/privkey.pem
-```
-
-## 三、配置域名解析
-
-在您的域名管理后台添加 A 记录：
-- 主机记录：@ 或 www
-- 记录类型：A
-- 记录值：您的服务器公网 IP
-
-## 四、运行服务器
-
-### 方式一：直接运行 Python（开发测试）
-
-```bash
-# 设置环境变量
-export SSL_CERT=/etc/letsencrypt/live/yourdomain.com/fullchain.pem
-export SSL_KEY=/etc/letsencrypt/live/yourdomain.com/privkey.pem
-
-# 运行 Flask 版本
-python https_server_example.py
-
-# 或运行 FastAPI 版本
-export FRAMEWORK=fastapi
-python https_server_example.py
-```
-
-### 方式二：使用 Nginx 反向代理（生产环境推荐）
-
-1. **安装 Nginx**
-```bash
-sudo apt-get install nginx
-```
-
-2. **配置 Nginx**
-编辑 `/etc/nginx/sites-available/default`：
-
-```nginx
-server {
-    listen 80;
-    server_name yourdomain.com;
-    return 301 https://$server_name$request_uri;
-}
-
-server {
-    listen 443 ssl;
-    server_name yourdomain.com;
-
-    ssl_certificate /etc/letsencrypt/live/yourdomain.com/fullchain.pem;
-    ssl_certificate_key /etc/letsencrypt/live/yourdomain.com/privkey.pem;
-
-    location / {
-        proxy_pass http://127.0.0.1:8000;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-    }
-}
-```
-
-3. **启动服务**
-```bash
-# 启动后端（HTTP，端口8000）
-python https_server_example.py
-
-# 重启 Nginx
-sudo systemctl restart nginx
-```
-
-## 五、配置微信小程序
-
-1. 登录[微信公众平台](https://mp.weixin.qq.com/)
-2. 进入「开发」→「开发管理」→「开发设置」
-3. 配置服务器域名：
-   - **request合法域名**：`https://yourdomain.com`
-
-## 六、测试接口
-
-```bash
-# 测试 HTTPS 接口
-curl https://yourdomain.com/api/test
-
-# 测试登录接口
-curl -X POST https://yourdomain.com/api/user/login \
-  -H "Content-Type: application/json" \
-  -d '{"username":"test","password":"123456"}'
-```
-
-## 七、小程序调用示例
-
-```javascript
-// 在小程序中调用
-wx.request({
-  url: 'https://yourdomain.com/api/test',
-  method: 'GET',
-  success: function(res) {
-    console.log(res.data);
-  },
-  fail: function(err) {
-    console.error('请求失败', err);
-  }
-});
-```
-
-## 常见问题
-
-### 1. 证书文件找不到
-- 检查证书路径是否正确
-- 确认证书文件权限：`sudo chmod 644 /etc/letsencrypt/live/yourdomain.com/*.pem`
-
-### 2. 端口被占用
-- 检查端口占用：`sudo netstat -tulpn | grep :443`
-- 或使用 Nginx 反向代理，后端运行在 8000 端口
-
-### 3. 小程序无法访问
-- 确认域名已在小程序后台配置
-- 检查服务器防火墙是否开放 443 端口
-- 确认域名已正确解析
-
-### 4. 证书过期
-Let's Encrypt 证书3个月有效期，设置自动续期：
-```bash
-sudo crontab -e
-# 添加：0 3 1 * * certbot renew --quiet && systemctl reload nginx
-```
-
-## 安全建议
-
-1. ✅ 使用 Nginx 反向代理（更安全、更稳定）
-2. ✅ 生产环境配置具体的 CORS 域名
-3. ✅ 定期更新证书
-4. ✅ 使用环境变量管理敏感信息
-5. ✅ 配置防火墙规则
diff --git a/gui_config.py b/gui_config.py
index 9823689..71247dd 100644
--- a/gui_config.py
+++ b/gui_config.py
@@ -1,383 +1,9 @@
-import sys
-import threading
-from PyQt5.QtWidgets import (QApplication, QMainWindow, QWidget, QVBoxLayout, 
-                             QHBoxLayout, QTableWidget, QTableWidgetItem, 
-                             QPushButton, QLineEdit, QLabel, QDateTimeEdit,
-                             QHeaderView, QMessageBox, QCheckBox, QTextEdit)
-from PyQt5.QtCore import Qt, QDateTime, pyqtSignal, QThread
-from PyQt5.QtGui import QColor
-from 自动化 import Pdd
+"""
+兼容入口：使用统一的 GUI 实现。
+"""
+
+from 自动化_gui import main
 
 
-class TaskThread(QThread):
-    """任务执行线程"""
-    status_update = pyqtSignal(int, str)  # 行号, 状态消息
-    
-    def __init__(self, row, url, user_id, time_start):
-        super().__init__()
-        self.row = row
-        self.url = url
-        self.user_id = user_id
-        self.time_start = time_start
-        self.is_running = True
-        
-    def run(self):
-        try:
-            self.status_update.emit(self.row, "正在初始化...")
-            pdd = Pdd(
-                url=self.url,
-                user_id=self.user_id,
-                time_start=self.time_start if self.time_start else None,
-            )
-            
-            if not self.is_running:
-                return
-                
-            self.status_update.emit(self.row, "正在执行任务...")
-            pdd.action()
-            
-            if self.is_running:
-                self.status_update.emit(self.row, "完成")
-        except Exception as e:
-            if self.is_running:
-                self.status_update.emit(self.row, f"错误: {str(e)}")
-    
-    def stop(self):
-        self.is_running = False
-
-
-class ConfigGUI(QMainWindow):
-    def __init__(self):
-        super().__init__()
-        self.task_threads = {}  # 存储任务线程 {row: thread}
-        self.init_ui()
-        
-    def init_ui(self):
-        self.setWindowTitle("自动化任务配置工具")
-        self.setGeometry(100, 100, 1200, 700)
-        
-        # 主窗口部件
-        main_widget = QWidget()
-        self.setCentralWidget(main_widget)
-        main_layout = QVBoxLayout()
-        main_widget.setLayout(main_layout)
-        
-        # 输入区域
-        input_layout = QHBoxLayout()
-        
-        # URL输入
-        url_label = QLabel("URL:")
-        self.url_input = QLineEdit()
-        self.url_input.setPlaceholderText("请输入小红书链接")
-        input_layout.addWidget(url_label)
-        input_layout.addWidget(self.url_input)
-        
-        # User ID输入
-        user_id_label = QLabel("User ID:")
-        self.user_id_input = QLineEdit()
-        self.user_id_input.setPlaceholderText("请输入用户ID")
-        input_layout.addWidget(user_id_label)
-        input_layout.addWidget(self.user_id_input)
-        
-        # 定时发布时间输入
-        time_label = QLabel("定时发布时间:")
-        self.time_input = QDateTimeEdit()
-        self.time_input.setDateTime(QDateTime.currentDateTime())
-        self.time_input.setDisplayFormat("yyyy-MM-dd HH:mm:ss")
-        self.time_input.setCalendarPopup(True)
-        input_layout.addWidget(time_label)
-        input_layout.addWidget(self.time_input)
-        
-        # 添加按钮
-        add_btn = QPushButton("添加任务")
-        add_btn.clicked.connect(self.add_task)
-        input_layout.addWidget(add_btn)
-        
-        main_layout.addLayout(input_layout)
-        
-        # 任务列表表格
-        self.table = QTableWidget()
-        self.table.setColumnCount(6)
-        self.table.setHorizontalHeaderLabels(["选择", "URL", "User ID", "定时发布时间", "状态", "操作"])
-        self.table.horizontalHeader().setStretchLastSection(True)
-        self.table.setSelectionBehavior(QTableWidget.SelectRows)
-        self.table.setEditTriggers(QTableWidget.NoEditTriggers)
-        
-        # 设置列宽
-        header = self.table.horizontalHeader()
-        header.setSectionResizeMode(0, QHeaderView.ResizeToContents)  # 选择列
-        header.setSectionResizeMode(1, QHeaderView.Stretch)  # URL列
-        header.setSectionResizeMode(2, QHeaderView.ResizeToContents)  # User ID列
-        header.setSectionResizeMode(3, QHeaderView.ResizeToContents)  # 时间列
-        header.setSectionResizeMode(4, QHeaderView.ResizeToContents)  # 状态列
-        header.setSectionResizeMode(5, QHeaderView.ResizeToContents)  # 操作列
-        
-        main_layout.addWidget(self.table)
-        
-        # 操作按钮区域
-        button_layout = QHBoxLayout()
-        
-        # 全选/取消全选
-        select_all_btn = QPushButton("全选")
-        select_all_btn.clicked.connect(self.select_all)
-        button_layout.addWidget(select_all_btn)
-        
-        deselect_all_btn = QPushButton("取消全选")
-        deselect_all_btn.clicked.connect(self.deselect_all)
-        button_layout.addWidget(deselect_all_btn)
-        
-        button_layout.addStretch()
-        
-        # 删除选中
-        delete_btn = QPushButton("删除选中")
-        delete_btn.clicked.connect(self.delete_selected)
-        button_layout.addWidget(delete_btn)
-        
-        # 运行选中
-        run_btn = QPushButton("运行选中任务")
-        run_btn.setStyleSheet("background-color: #4CAF50; color: white; font-weight: bold;")
-        run_btn.clicked.connect(self.run_selected)
-        button_layout.addWidget(run_btn)
-        
-        # 停止所有
-        stop_all_btn = QPushButton("停止所有任务")
-        stop_all_btn.setStyleSheet("background-color: #f44336; color: white; font-weight: bold;")
-        stop_all_btn.clicked.connect(self.stop_all)
-        button_layout.addWidget(stop_all_btn)
-        
-        main_layout.addLayout(button_layout)
-        
-        # 日志区域
-        log_label = QLabel("运行日志:")
-        main_layout.addWidget(log_label)
-        
-        self.log_text = QTextEdit()
-        self.log_text.setReadOnly(True)
-        self.log_text.setMaximumHeight(150)
-        main_layout.addWidget(self.log_text)
-        
-    def add_task(self):
-        url = self.url_input.text().strip()
-        user_id = self.user_id_input.text().strip()
-        time_str = self.time_input.dateTime().toString("yyyy-MM-dd HH:mm:ss")
-        
-        if not url:
-            QMessageBox.warning(self, "警告", "请输入URL")
-            return
-        
-        if not user_id:
-            QMessageBox.warning(self, "警告", "请输入User ID")
-            return
-        
-        # 添加行
-        row = self.table.rowCount()
-        self.table.insertRow(row)
-        
-        # 复选框
-        checkbox = QCheckBox()
-        checkbox.setChecked(True)
-        self.table.setCellWidget(row, 0, checkbox)
-        
-        # URL
-        url_item = QTableWidgetItem(url)
-        url_item.setTextAlignment(Qt.AlignLeft | Qt.AlignVCenter)
-        self.table.setItem(row, 1, url_item)
-        
-        # User ID
-        user_id_item = QTableWidgetItem(user_id)
-        user_id_item.setTextAlignment(Qt.AlignCenter)
-        self.table.setItem(row, 2, user_id_item)
-        
-        # 定时发布时间
-        time_item = QTableWidgetItem(time_str)
-        time_item.setTextAlignment(Qt.AlignCenter)
-        self.table.setItem(row, 3, time_item)
-        
-        # 状态
-        status_item = QTableWidgetItem("待运行")
-        status_item.setTextAlignment(Qt.AlignCenter)
-        status_item.setForeground(QColor(128, 128, 128))
-        self.table.setItem(row, 4, status_item)
-        
-        # 操作按钮
-        delete_btn = QPushButton("删除")
-        delete_btn.clicked.connect(lambda: self.delete_row(row))
-        self.table.setCellWidget(row, 5, delete_btn)
-        
-        # 清空输入框
-        self.url_input.clear()
-        self.user_id_input.clear()
-        
-        self.log(f"已添加任务: User ID={user_id}, URL={url[:50]}...")
-        
-    def delete_row(self, row):
-        # 如果任务正在运行，先停止
-        if row in self.task_threads:
-            self.stop_task(row)
-        
-        self.table.removeRow(row)
-        # 更新后续行的引用
-        self.update_row_references(row)
-        
-    def update_row_references(self, deleted_row):
-        """更新删除行之后的所有行的引用"""
-        new_threads = {}
-        for old_row, thread in self.task_threads.items():
-            if old_row < deleted_row:
-                new_threads[old_row] = thread
-            elif old_row > deleted_row:
-                new_threads[old_row - 1] = thread
-        self.task_threads = new_threads
-        
-        # 更新删除按钮的连接
-        for row in range(self.table.rowCount()):
-            delete_btn = self.table.cellWidget(row, 5)
-            if delete_btn:
-                delete_btn.clicked.disconnect()
-                delete_btn.clicked.connect(lambda checked, r=row: self.delete_row(r))
-    
-    def select_all(self):
-        for row in range(self.table.rowCount()):
-            checkbox = self.table.cellWidget(row, 0)
-            if checkbox:
-                checkbox.setChecked(True)
-    
-    def deselect_all(self):
-        for row in range(self.table.rowCount()):
-            checkbox = self.table.cellWidget(row, 0)
-            if checkbox:
-                checkbox.setChecked(False)
-    
-    def delete_selected(self):
-        rows_to_delete = []
-        for row in range(self.table.rowCount()):
-            checkbox = self.table.cellWidget(row, 0)
-            if checkbox and checkbox.isChecked():
-                rows_to_delete.append(row)
-        
-        # 从后往前删除，避免索引变化
-        for row in sorted(rows_to_delete, reverse=True):
-            self.delete_row(row)
-        
-        if rows_to_delete:
-            self.log(f"已删除 {len(rows_to_delete)} 个任务")
-    
-    def get_selected_rows(self):
-        """获取选中的行号列表"""
-        selected_rows = []
-        for row in range(self.table.rowCount()):
-            checkbox = self.table.cellWidget(row, 0)
-            if checkbox and checkbox.isChecked():
-                selected_rows.append(row)
-        return selected_rows
-    
-    def run_selected(self):
-        selected_rows = self.get_selected_rows()
-        
-        if not selected_rows:
-            QMessageBox.warning(self, "警告", "请至少选择一个任务")
-            return
-        
-        # 检查是否有任务正在运行
-        running_count = sum(1 for row in selected_rows if row in self.task_threads)
-        if running_count > 0:
-            QMessageBox.warning(self, "警告", "选中的任务中有正在运行的，请先停止")
-            return
-        
-        # 启动选中的任务
-        for row in selected_rows:
-            url = self.table.item(row, 1).text()
-            user_id = self.table.item(row, 2).text()
-            time_str = self.table.item(row, 3).text()
-            
-            # 更新状态
-            status_item = self.table.item(row, 4)
-            status_item.setText("运行中")
-            status_item.setForeground(QColor(255, 165, 0))
-            
-            # 创建并启动线程
-            thread = TaskThread(row, url, user_id, time_str)
-            thread.status_update.connect(self.update_status)
-            thread.start()
-            self.task_threads[row] = thread
-            
-            self.log(f"开始运行任务 {row+1}: User ID={user_id}")
-    
-    def update_status(self, row, status):
-        """更新任务状态"""
-        if row >= self.table.rowCount():
-            return
-            
-        status_item = self.table.item(row, 4)
-        if status_item:
-            status_item.setText(status)
-            
-            if "完成" in status:
-                status_item.setForeground(QColor(0, 128, 0))
-            elif "错误" in status:
-                status_item.setForeground(QColor(255, 0, 0))
-            elif "运行中" in status or "正在" in status:
-                status_item.setForeground(QColor(255, 165, 0))
-            else:
-                status_item.setForeground(QColor(128, 128, 128))
-            
-            # 如果任务完成或出错，从线程字典中移除
-            if "完成" in status or "错误" in status:
-                if row in self.task_threads:
-                    del self.task_threads[row]
-    
-    def stop_task(self, row):
-        """停止指定行的任务"""
-        if row in self.task_threads:
-            thread = self.task_threads[row]
-            thread.stop()
-            thread.wait()
-            del self.task_threads[row]
-            
-            status_item = self.table.item(row, 4)
-            if status_item:
-                status_item.setText("已停止")
-                status_item.setForeground(QColor(128, 128, 128))
-            
-            self.log(f"已停止任务 {row+1}")
-    
-    def stop_all(self):
-        """停止所有正在运行的任务"""
-        rows_to_stop = list(self.task_threads.keys())
-        for row in rows_to_stop:
-            self.stop_task(row)
-        
-        if rows_to_stop:
-            self.log(f"已停止 {len(rows_to_stop)} 个任务")
-    
-    def log(self, message):
-        """添加日志"""
-        from datetime import datetime
-        timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-        self.log_text.append(f"[{timestamp}] {message}")
-    
-    def closeEvent(self, event):
-        """窗口关闭时停止所有任务"""
-        if self.task_threads:
-            reply = QMessageBox.question(
-                self, 
-                "确认", 
-                "有任务正在运行，确定要关闭吗？",
-                QMessageBox.Yes | QMessageBox.No,
-                QMessageBox.No
-            )
-            
-            if reply == QMessageBox.Yes:
-                self.stop_all()
-                event.accept()
-            else:
-                event.ignore()
-        else:
-            event.accept()
-
-
-if __name__ == '__main__':
-    app = QApplication(sys.argv)
-    window = ConfigGUI()
-    window.show()
-    sys.exit(app.exec_())
+if __name__ == "__main__":
+    main()
diff --git a/pdd_gui.log b/pdd_gui.log
new file mode 100644
index 0000000..b258c07
--- /dev/null
+++ b/pdd_gui.log
@@ -0,0 +1,24 @@
+从Excel文件加载了 0 个任务
+已添加任务: C:/Users/27942/Desktop/image
+配置已保存，开始运行任务...
+开始任务：C:/Users/27942/Desktop/image
+程序关闭，配置已保存
+任务已停止：C:/Users/27942/Desktop/image
+任务队列已停止
+从Excel文件加载了 0 个任务
+已添加任务: C:/Users/27942/Desktop/image
+配置已保存，开始运行任务...
+开始任务：C:/Users/27942/Desktop/image
+正在停止任务队列...
+强制终止任务线程...
+任务线程已强制终止
+任务队列已停止
+从Excel文件加载了 0 个任务
+已添加任务: C:/Users/27942/Desktop/image
+配置已保存，开始运行任务...
+开始任务：C:/Users/27942/Desktop/image
+正在停止任务队列...
+强制终止任务线程...
+任务线程已强制终止
+任务队列已停止
+程序关闭，配置已保存
diff --git a/pdd_tasks.json b/pdd_tasks.json
new file mode 100644
index 0000000..b6ee1e5
--- /dev/null
+++ b/pdd_tasks.json
@@ -0,0 +1,15 @@
+[
+  {
+    "user_id": "1050100241",
+    "file_path": "C:/Users/27942/Desktop/image",
+    "topics": "python-haha",
+    "interval": "5",
+    "creator_link": "https://www.xiaohongshu.com/explore/694d4fb6000000001e014195?xsec_token=ABdCdLrjMkmGbv623XZvEingO82fryJDFzzAXLgmYmark=&xsec_source=pc_user",
+    "count": "1",
+    "note": "",
+    "time_start": null,
+    "enabled": true,
+    "status": "运行中",
+    "last_run": "2026-01-16 11:18:35"
+  }
+]
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diff --git a/pdd_tasks.json.backup b/pdd_tasks.json.backup
new file mode 100644
index 0000000..b6ee1e5
--- /dev/null
+++ b/pdd_tasks.json.backup
@@ -0,0 +1,15 @@
+[
+  {
+    "user_id": "1050100241",
+    "file_path": "C:/Users/27942/Desktop/image",
+    "topics": "python-haha",
+    "interval": "5",
+    "creator_link": "https://www.xiaohongshu.com/explore/694d4fb6000000001e014195?xsec_token=ABdCdLrjMkmGbv623XZvEingO82fryJDFzzAXLgmYmark=&xsec_source=pc_user",
+    "count": "1",
+    "note": "",
+    "time_start": null,
+    "enabled": true,
+    "status": "运行中",
+    "last_run": "2026-01-16 11:18:35"
+  }
+]
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similarity index 82%
rename from user/user_data/BrowserMetrics/BrowserMetrics-6968E85E-7AD4.pma
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index 17a8be2..ecd1fa0 100644
--- a/user/user_data/Default/BrowsingTopicsState
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 }
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index e69de29..9eaf829 100644
--- a/user/user_data/Default/Extension Rules/LOG	
+++ b/user/user_data/Default/Extension Rules/LOG	
@@ -0,0 +1,3 @@
+2026/01/16-10:47:25.130 72d4 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension Rules/MANIFEST-000001
+2026/01/16-10:47:25.131 72d4 Recovering log #3
+2026/01/16-10:47:25.132 72d4 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension Rules/000003.log 
diff --git a/user/user_data/Default/Extension Rules/LOG.old b/user/user_data/Default/Extension Rules/LOG.old
index e69de29..835f22a 100644
--- a/user/user_data/Default/Extension Rules/LOG.old	
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@@ -0,0 +1,3 @@
+2026/01/16-10:40:56.854 6a64 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension Rules/MANIFEST-000001
+2026/01/16-10:40:56.854 6a64 Recovering log #3
+2026/01/16-10:40:56.855 6a64 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension Rules/000003.log 
diff --git a/user/user_data/Default/Extension Scripts/000003.log b/user/user_data/Default/Extension Scripts/000003.log
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+++ b/user/user_data/Default/Extension Scripts/LOG	
@@ -0,0 +1,3 @@
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+2026/01/16-10:47:25.146 72d4 Recovering log #3
+2026/01/16-10:47:25.147 72d4 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension Scripts/000003.log 
diff --git a/user/user_data/Default/Extension Scripts/LOG.old b/user/user_data/Default/Extension Scripts/LOG.old
index e69de29..2a4e974 100644
--- a/user/user_data/Default/Extension Scripts/LOG.old	
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@@ -0,0 +1,3 @@
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+2026/01/16-10:40:56.869 6a64 Recovering log #3
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diff --git a/user/user_data/Default/Extension State/000003.log b/user/user_data/Default/Extension State/000003.log
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index e69de29..04eec7f 100644
--- a/user/user_data/Default/Extension State/LOG	
+++ b/user/user_data/Default/Extension State/LOG	
@@ -0,0 +1,3 @@
+2026/01/16-11:21:59.530 7390 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension State/MANIFEST-000001
+2026/01/16-11:21:59.531 7390 Recovering log #3
+2026/01/16-11:21:59.532 7390 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension State/000003.log 
diff --git a/user/user_data/Default/Extension State/LOG.old b/user/user_data/Default/Extension State/LOG.old
index e69de29..5ab2015 100644
--- a/user/user_data/Default/Extension State/LOG.old	
+++ b/user/user_data/Default/Extension State/LOG.old	
@@ -0,0 +1,3 @@
+2026/01/16-11:18:36.734 9a4 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension State/MANIFEST-000001
+2026/01/16-11:18:36.735 9a4 Recovering log #3
+2026/01/16-11:18:36.735 9a4 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension State/000003.log 
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/bg/messages.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/bg/messages.json
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/bg/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/bg/messages.json
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similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/ca/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/ca/messages.json
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similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/cs/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/cs/messages.json
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/da/messages.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/da/messages.json
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/da/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/da/messages.json
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/de/messages.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/de/messages.json
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/de/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/de/messages.json
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/el/messages.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/el/messages.json
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/el/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/el/messages.json
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/en/messages.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/en/messages.json
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/en/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/en/messages.json
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/en_GB/messages.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/en_GB/messages.json
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/en_GB/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/en_GB/messages.json
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/es/messages.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/es/messages.json
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/es/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/es/messages.json
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/es_419/messages.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/es_419/messages.json
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/es_419/messages.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/es_419/messages.json
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/_locales/et/messages.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/_locales/et/messages.json
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diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/images/topbar_floating_button_close.png b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/images/topbar_floating_button_close.png
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/images/topbar_floating_button_close.png
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/images/topbar_floating_button_close.png
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/images/topbar_floating_button_hover.png b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/images/topbar_floating_button_hover.png
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/images/topbar_floating_button_hover.png
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/images/topbar_floating_button_hover.png
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/images/topbar_floating_button_maximize.png b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/images/topbar_floating_button_maximize.png
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/images/topbar_floating_button_maximize.png
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/images/topbar_floating_button_maximize.png
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/images/topbar_floating_button_pressed.png b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/images/topbar_floating_button_pressed.png
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/images/topbar_floating_button_pressed.png
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/images/topbar_floating_button_pressed.png
diff --git a/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/manifest.json b/user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/manifest.json
similarity index 100%
rename from user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_1/manifest.json
rename to user/user_data/Default/Extensions/nmmhkkegccagdldgiimedpiccmgmieda/1.0.0.6_2/manifest.json
diff --git a/user/user_data/Default/Favicons b/user/user_data/Default/Favicons
index 5db1982..28fb30e 100644
Binary files a/user/user_data/Default/Favicons and b/user/user_data/Default/Favicons differ
diff --git a/user/user_data/Default/File System/Origins/LOG b/user/user_data/Default/File System/Origins/LOG
index 3008c59..f626a0c 100644
--- a/user/user_data/Default/File System/Origins/LOG	
+++ b/user/user_data/Default/File System/Origins/LOG	
@@ -1,3 +1,3 @@
-2026/01/15-21:44:38.198 75e4 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\File System\Origins/MANIFEST-000001
-2026/01/15-21:44:38.198 75e4 Recovering log #6
-2026/01/15-21:44:38.199 75e4 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\File System\Origins/000006.log 
+2026/01/16-11:22:01.010 7a9c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\File System\Origins/MANIFEST-000001
+2026/01/16-11:22:01.011 7a9c Recovering log #6
+2026/01/16-11:22:01.011 7a9c Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\File System\Origins/000006.log 
diff --git a/user/user_data/Default/File System/Origins/LOG.old b/user/user_data/Default/File System/Origins/LOG.old
index 1b1cff6..27dfcb4 100644
--- a/user/user_data/Default/File System/Origins/LOG.old	
+++ b/user/user_data/Default/File System/Origins/LOG.old	
@@ -1,3 +1,3 @@
-2026/01/15-21:40:40.744 2ad8 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\File System\Origins/MANIFEST-000001
-2026/01/15-21:40:40.744 2ad8 Recovering log #6
-2026/01/15-21:40:40.745 2ad8 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\File System\Origins/000006.log 
+2026/01/16-11:18:37.304 2688 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\File System\Origins/MANIFEST-000001
+2026/01/16-11:18:37.304 2688 Recovering log #6
+2026/01/16-11:18:37.305 2688 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\File System\Origins/000006.log 
diff --git a/user/user_data/Default/GCM Store/000003.log b/user/user_data/Default/GCM Store/000003.log
index 44baacf..7c742a6 100644
Binary files a/user/user_data/Default/GCM Store/000003.log and b/user/user_data/Default/GCM Store/000003.log differ
diff --git a/user/user_data/Default/GCM Store/Encryption/LOG b/user/user_data/Default/GCM Store/Encryption/LOG
index e69de29..3251ce2 100644
--- a/user/user_data/Default/GCM Store/Encryption/LOG	
+++ b/user/user_data/Default/GCM Store/Encryption/LOG	
@@ -0,0 +1,3 @@
+2026/01/16-11:22:17.967 6374 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store\Encryption/MANIFEST-000001
+2026/01/16-11:22:17.967 6374 Recovering log #3
+2026/01/16-11:22:17.968 6374 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store\Encryption/000003.log 
diff --git a/user/user_data/Default/GCM Store/Encryption/LOG.old b/user/user_data/Default/GCM Store/Encryption/LOG.old
index e69de29..d6f70c6 100644
--- a/user/user_data/Default/GCM Store/Encryption/LOG.old	
+++ b/user/user_data/Default/GCM Store/Encryption/LOG.old	
@@ -0,0 +1,3 @@
+2026/01/16-11:18:43.084 4ba8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store\Encryption/MANIFEST-000001
+2026/01/16-11:18:43.085 4ba8 Recovering log #3
+2026/01/16-11:18:43.086 4ba8 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store\Encryption/000003.log 
diff --git a/user/user_data/Default/GCM Store/LOG b/user/user_data/Default/GCM Store/LOG
index fe8e4bd..06476f1 100644
--- a/user/user_data/Default/GCM Store/LOG	
+++ b/user/user_data/Default/GCM Store/LOG	
@@ -1,3 +1,3 @@
-2026/01/15-21:44:42.366 3de8 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\GCM Store/MANIFEST-000001
-2026/01/15-21:44:42.367 3de8 Recovering log #3
-2026/01/15-21:44:42.368 3de8 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\GCM Store/000003.log 
+2026/01/16-11:22:17.886 6374 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store/MANIFEST-000001
+2026/01/16-11:22:17.887 6374 Recovering log #3
+2026/01/16-11:22:17.887 6374 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store/000003.log 
diff --git a/user/user_data/Default/GCM Store/LOG.old b/user/user_data/Default/GCM Store/LOG.old
index 2b6f9af..f5f5ef1 100644
--- a/user/user_data/Default/GCM Store/LOG.old	
+++ b/user/user_data/Default/GCM Store/LOG.old	
@@ -1,3 +1,3 @@
-2026/01/15-21:40:19.442 11ec Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\GCM Store/MANIFEST-000001
-2026/01/15-21:40:19.443 11ec Recovering log #3
-2026/01/15-21:40:19.444 11ec Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\GCM Store/000003.log 
+2026/01/16-11:18:43.008 2aa8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store/MANIFEST-000001
+2026/01/16-11:18:43.009 2aa8 Recovering log #3
+2026/01/16-11:18:43.009 2aa8 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store/000003.log 
diff --git a/user/user_data/Default/GPUCache/data_1 b/user/user_data/Default/GPUCache/data_1
index 90c33ad..abd8a60 100644
Binary files a/user/user_data/Default/GPUCache/data_1 and b/user/user_data/Default/GPUCache/data_1 differ
diff --git a/user/user_data/Default/History b/user/user_data/Default/History
index 32b9829..176d213 100644
Binary files a/user/user_data/Default/History and b/user/user_data/Default/History differ
diff --git a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000007.log b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000007.log
deleted file mode 100644
index b63ef68..0000000
Binary files a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000007.log and /dev/null differ
diff --git a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000009.ldb b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000009.ldb
deleted file mode 100644
index 9ed5e09..0000000
Binary files a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000009.ldb and /dev/null differ
diff --git a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000011.log b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000011.log
new file mode 100644
index 0000000..f6ea544
Binary files /dev/null and b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000011.log differ
diff --git a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000013.ldb b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000013.ldb
new file mode 100644
index 0000000..f1d1bef
Binary files /dev/null and b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/000013.ldb differ
diff --git a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/LOG b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/LOG
index e69de29..adb8a75 100644
--- a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/LOG
+++ b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/LOG
@@ -0,0 +1,12 @@
+2026/01/16-11:22:13.760 6574 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\IndexedDB\https_mcn.pinduoduo.com_0.indexeddb.leveldb/MANIFEST-000001
+2026/01/16-11:22:13.761 6574 Recovering log #7
+2026/01/16-11:22:13.777 6574 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\IndexedDB\https_mcn.pinduoduo.com_0.indexeddb.leveldb/000007.log 
+2026/01/16-11:22:42.787 1088 Level-0 table #12: started
+2026/01/16-11:22:42.812 1088 Level-0 table #12: 797248 bytes OK
+2026/01/16-11:22:42.814 1088 Delete type=0 #7
+2026/01/16-11:22:47.693 1088 Compacting 1@1 + 1@2 files
+2026/01/16-11:22:47.704 1088 Generated table #13@1: 1147 keys, 156057 bytes
+2026/01/16-11:22:47.704 1088 Compacted 1@1 + 1@2 files => 156057 bytes
+2026/01/16-11:22:47.704 1088 compacted to: files[ 0 0 1 0 0 0 0 ]
+2026/01/16-11:22:47.704 1088 Delete type=2 #9
+2026/01/16-11:22:47.704 1088 Delete type=2 #12
diff --git a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/LOG.old b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/LOG.old
index e69de29..e1e3fb0 100644
--- a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/LOG.old
+++ b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/LOG.old
@@ -0,0 +1,3 @@
+2026/01/16-11:22:10.830 6574 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\IndexedDB\https_mcn.pinduoduo.com_0.indexeddb.leveldb/MANIFEST-000001
+2026/01/16-11:22:10.831 6574 Recovering log #7
+2026/01/16-11:22:10.847 6574 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\IndexedDB\https_mcn.pinduoduo.com_0.indexeddb.leveldb/000007.log 
diff --git a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/MANIFEST-000001 b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/MANIFEST-000001
index 659836d..5b3c07d 100644
Binary files a/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/MANIFEST-000001 and b/user/user_data/Default/IndexedDB/https_mcn.pinduoduo.com_0.indexeddb.leveldb/MANIFEST-000001 differ
diff --git a/user/user_data/Default/LOCK b/user/user_data/Default/LOCK
new file mode 100644
index 0000000..e69de29
diff --git a/user/user_data/Default/LOG b/user/user_data/Default/LOG
new file mode 100644
index 0000000..e69de29
diff --git a/user/user_data/Default/LOG.old b/user/user_data/Default/LOG.old
new file mode 100644
index 0000000..e69de29
diff --git a/user/user_data/Default/Local Storage/leveldb/000007.log b/user/user_data/Default/Local Storage/leveldb/000007.log
index de5936d..14f08ce 100644
Binary files a/user/user_data/Default/Local Storage/leveldb/000007.log and b/user/user_data/Default/Local Storage/leveldb/000007.log differ
diff --git a/user/user_data/Default/Local Storage/leveldb/LOG b/user/user_data/Default/Local Storage/leveldb/LOG
index 2cd46cb..dc0f0bb 100644
--- a/user/user_data/Default/Local Storage/leveldb/LOG	
+++ b/user/user_data/Default/Local Storage/leveldb/LOG	
@@ -1,3 +1,3 @@
-2026/01/15-21:44:37.235 748 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Local Storage\leveldb/MANIFEST-000001
-2026/01/15-21:44:37.239 748 Recovering log #7
-2026/01/15-21:44:37.246 748 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Local Storage\leveldb/000007.log 
+2026/01/16-11:21:59.481 8250 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Local Storage\leveldb/MANIFEST-000001
+2026/01/16-11:21:59.486 8250 Recovering log #7
+2026/01/16-11:21:59.513 8250 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Local Storage\leveldb/000007.log 
diff --git a/user/user_data/Default/Local Storage/leveldb/LOG.old b/user/user_data/Default/Local Storage/leveldb/LOG.old
index 0556b09..f93d55e 100644
--- a/user/user_data/Default/Local Storage/leveldb/LOG.old	
+++ b/user/user_data/Default/Local Storage/leveldb/LOG.old	
@@ -1,3 +1,3 @@
-2026/01/15-21:40:39.971 3af0 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Local Storage\leveldb/MANIFEST-000001
-2026/01/15-21:40:39.976 3af0 Recovering log #7
-2026/01/15-21:40:39.981 3af0 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Local Storage\leveldb/000007.log 
+2026/01/16-11:18:36.676 7ce8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Local Storage\leveldb/MANIFEST-000001
+2026/01/16-11:18:36.682 7ce8 Recovering log #7
+2026/01/16-11:18:36.694 7ce8 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Local Storage\leveldb/000007.log 
diff --git a/user/user_data/Default/Network Action Predictor b/user/user_data/Default/Network Action Predictor
index a2322f8..b73a801 100644
Binary files a/user/user_data/Default/Network Action Predictor and b/user/user_data/Default/Network Action Predictor differ
diff --git a/user/user_data/Default/Network/Cookies b/user/user_data/Default/Network/Cookies
index 6f646a1..9711ba5 100644
Binary files a/user/user_data/Default/Network/Cookies and b/user/user_data/Default/Network/Cookies differ
diff --git a/user/user_data/Default/Network/Network Persistent State b/user/user_data/Default/Network/Network Persistent State
index 24a86be..4f279d5 100644
--- a/user/user_data/Default/Network/Network Persistent State	
+++ b/user/user_data/Default/Network/Network Persistent State	
@@ -1 +1 @@
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diff --git a/user/user_data/Default/Network/Reporting and NEL b/user/user_data/Default/Network/Reporting and NEL
index 421e3c2..4518c0f 100644
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diff --git a/user/user_data/Default/Network/TransportSecurity b/user/user_data/Default/Network/TransportSecurity
index a07af87..037f3a1 100644
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diff --git a/user/user_data/Default/Preferences b/user/user_data/Default/Preferences
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--- a/user/user_data/Default/Service Worker/Database/LOG	
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-2026/01/15-21:44:37.127 3850 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Service Worker\Database/000003.log 
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diff --git a/user/user_data/Default/Service Worker/Database/LOG.old b/user/user_data/Default/Service Worker/Database/LOG.old
index b3733c7..6d2f2dd 100644
--- a/user/user_data/Default/Service Worker/Database/LOG.old	
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diff --git a/user/user_data/Default/Session Storage/LOG b/user/user_data/Default/Session Storage/LOG
index da6e91a..1e48ef5 100644
--- a/user/user_data/Default/Session Storage/LOG	
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-2026/01/15-21:44:37.326 748 Recovering log #13
-2026/01/15-21:44:37.334 748 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Session Storage/000013.log 
+2026/01/16-11:21:59.525 7634 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/MANIFEST-000001
+2026/01/16-11:21:59.527 7634 Recovering log #16
+2026/01/16-11:21:59.538 7634 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/000016.log 
diff --git a/user/user_data/Default/Session Storage/LOG.old b/user/user_data/Default/Session Storage/LOG.old
index 7ff5f9b..21d92b1 100644
--- a/user/user_data/Default/Session Storage/LOG.old	
+++ b/user/user_data/Default/Session Storage/LOG.old	
@@ -1,3 +1,3 @@
-2026/01/15-21:40:40.050 3af0 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Session Storage/MANIFEST-000001
-2026/01/15-21:40:40.052 3af0 Recovering log #13
-2026/01/15-21:40:40.059 3af0 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Session Storage/000013.log 
+2026/01/16-11:18:36.728 84c4 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/MANIFEST-000001
+2026/01/16-11:18:36.729 84c4 Recovering log #16
+2026/01/16-11:18:36.740 84c4 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/000016.log 
diff --git a/user/user_data/Default/Session Storage/MANIFEST-000001 b/user/user_data/Default/Session Storage/MANIFEST-000001
index a470e8f..c893e1d 100644
Binary files a/user/user_data/Default/Session Storage/MANIFEST-000001 and b/user/user_data/Default/Session Storage/MANIFEST-000001 differ
diff --git a/user/user_data/Default/Sessions/Tabs_13412958279815748 b/user/user_data/Default/Sessions/Tabs_13413007119205269
similarity index 76%
rename from user/user_data/Default/Sessions/Tabs_13412958279815748
rename to user/user_data/Default/Sessions/Tabs_13413007119205269
index 748a02c..df20a5f 100644
Binary files a/user/user_data/Default/Sessions/Tabs_13412958279815748 and b/user/user_data/Default/Sessions/Tabs_13413007119205269 differ
diff --git a/user/user_data/Default/Sessions/Tabs_13412958042542380 b/user/user_data/Default/Sessions/Tabs_13413007322009538
similarity index 64%
rename from user/user_data/Default/Sessions/Tabs_13412958042542380
rename to user/user_data/Default/Sessions/Tabs_13413007322009538
index dd4de08..d5c57c3 100644
Binary files a/user/user_data/Default/Sessions/Tabs_13412958042542380 and b/user/user_data/Default/Sessions/Tabs_13413007322009538 differ
diff --git a/user/user_data/Default/Site Characteristics Database/000006.log b/user/user_data/Default/Site Characteristics Database/000006.log
index 876fba4..07c2287 100644
Binary files a/user/user_data/Default/Site Characteristics Database/000006.log and b/user/user_data/Default/Site Characteristics Database/000006.log differ
diff --git a/user/user_data/Default/Site Characteristics Database/LOG b/user/user_data/Default/Site Characteristics Database/LOG
index 1e18e23..f2b3e8d 100644
--- a/user/user_data/Default/Site Characteristics Database/LOG	
+++ b/user/user_data/Default/Site Characteristics Database/LOG	
@@ -1,3 +1,3 @@
-2026/01/15-21:44:37.132 7578 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Site Characteristics Database/MANIFEST-000001
-2026/01/15-21:44:37.132 7578 Recovering log #6
-2026/01/15-21:44:37.134 7578 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Site Characteristics Database/000006.log 
+2026/01/16-11:21:59.350 7af4 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Site Characteristics Database/MANIFEST-000001
+2026/01/16-11:21:59.351 7af4 Recovering log #6
+2026/01/16-11:21:59.352 7af4 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Site Characteristics Database/000006.log 
diff --git a/user/user_data/Default/Site Characteristics Database/LOG.old b/user/user_data/Default/Site Characteristics Database/LOG.old
index da80001..1a002ed 100644
--- a/user/user_data/Default/Site Characteristics Database/LOG.old	
+++ b/user/user_data/Default/Site Characteristics Database/LOG.old	
@@ -1,3 +1,3 @@
-2026/01/15-21:40:39.887 d8 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Site Characteristics Database/MANIFEST-000001
-2026/01/15-21:40:39.887 d8 Recovering log #6
-2026/01/15-21:40:39.888 d8 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Site Characteristics Database/000006.log 
+2026/01/16-11:18:36.525 65ec Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Site Characteristics Database/MANIFEST-000001
+2026/01/16-11:18:36.527 65ec Recovering log #6
+2026/01/16-11:18:36.528 65ec Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Site Characteristics Database/000006.log 
diff --git a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Code Cache/js/index-dir/the-real-index b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Code Cache/js/index-dir/the-real-index
index ad17a65..86c7081 100644
Binary files a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Code Cache/js/index-dir/the-real-index and b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Code Cache/js/index-dir/the-real-index differ
diff --git a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/000003.log b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/000003.log
index 9bb27c0..dacf3f2 100644
Binary files a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/000003.log and b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/000003.log differ
diff --git a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/LOG b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/LOG
index c5e57fa..54929c0 100644
--- a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/LOG	
+++ b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/LOG	
@@ -1,3 +1,3 @@
-2026/01/15-21:13:34.779 3130 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/MANIFEST-000001
-2026/01/15-21:13:34.780 3130 Recovering log #3
-2026/01/15-21:13:34.785 3130 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/000003.log 
+2026/01/16-10:41:01.001 87d8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/MANIFEST-000001
+2026/01/16-10:41:01.003 87d8 Recovering log #3
+2026/01/16-10:41:01.010 87d8 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/000003.log 
diff --git a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/LOG.old b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/LOG.old
index 5198c92..18af80c 100644
--- a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/LOG.old	
+++ b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Local Storage/leveldb/LOG.old	
@@ -1,3 +1,3 @@
-2026/01/15-09:36:03.975 567c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/MANIFEST-000001
-2026/01/15-09:36:03.976 567c Recovering log #3
-2026/01/15-09:36:03.981 567c Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/000003.log 
+2026/01/16-10:25:34.592 6324 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/MANIFEST-000001
+2026/01/16-10:25:34.594 6324 Recovering log #3
+2026/01/16-10:25:34.605 6324 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/000003.log 
diff --git a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/000003.log b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/000003.log
index 3853a66..16bfed5 100644
Binary files a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/000003.log and b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/000003.log differ
diff --git a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG
index 0235618..8059ec9 100644
--- a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG	
+++ b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG	
@@ -1,3 +1,3 @@
-2026/01/15-21:13:37.571 3130 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/MANIFEST-000001
-2026/01/15-21:13:37.572 3130 Recovering log #3
-2026/01/15-21:13:37.576 3130 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/000003.log 
+2026/01/16-10:41:16.152 87d8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/MANIFEST-000001
+2026/01/16-10:41:16.153 87d8 Recovering log #3
+2026/01/16-10:41:16.159 87d8 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/000003.log 
diff --git a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG.old b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG.old
index 08c3ab4..0235618 100644
--- a/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG.old	
+++ b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG.old	
@@ -1,3 +1,3 @@
-2026/01/15-09:36:19.091 567c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/MANIFEST-000001
-2026/01/15-09:36:19.092 567c Recovering log #3
-2026/01/15-09:36:19.096 567c Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/000003.log 
+2026/01/15-21:13:37.571 3130 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/MANIFEST-000001
+2026/01/15-21:13:37.572 3130 Recovering log #3
+2026/01/15-21:13:37.576 3130 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/000003.log 
diff --git a/user/user_data/Default/Sync Data/LevelDB/LOG b/user/user_data/Default/Sync Data/LevelDB/LOG
index e69de29..0129b21 100644
--- a/user/user_data/Default/Sync Data/LevelDB/LOG	
+++ b/user/user_data/Default/Sync Data/LevelDB/LOG	
@@ -0,0 +1,3 @@
+2026/01/16-11:21:59.333 6574 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Sync Data\LevelDB/MANIFEST-000001
+2026/01/16-11:21:59.334 6574 Recovering log #3
+2026/01/16-11:21:59.334 6574 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Sync Data\LevelDB/000003.log 
diff --git a/user/user_data/Default/Sync Data/LevelDB/LOG.old b/user/user_data/Default/Sync Data/LevelDB/LOG.old
index e69de29..8c7c8b8 100644
--- a/user/user_data/Default/Sync Data/LevelDB/LOG.old	
+++ b/user/user_data/Default/Sync Data/LevelDB/LOG.old	
@@ -0,0 +1,3 @@
+2026/01/16-11:18:36.507 6aa8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Sync Data\LevelDB/MANIFEST-000001
+2026/01/16-11:18:36.507 6aa8 Recovering log #3
+2026/01/16-11:18:36.508 6aa8 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Sync Data\LevelDB/000003.log 
diff --git a/user/user_data/Default/Web Data b/user/user_data/Default/Web Data
index 52aca2e..2ddf5a5 100644
Binary files a/user/user_data/Default/Web Data and b/user/user_data/Default/Web Data differ
diff --git a/user/user_data/Default/WebStorage/QuotaManager b/user/user_data/Default/WebStorage/QuotaManager
index 726ff4f..ca64bda 100644
Binary files a/user/user_data/Default/WebStorage/QuotaManager and b/user/user_data/Default/WebStorage/QuotaManager differ
diff --git a/user/user_data/Default/optimization_guide_hint_cache_store/LOCK b/user/user_data/Default/optimization_guide_hint_cache_store/LOCK
new file mode 100644
index 0000000..e69de29
diff --git a/user/user_data/Default/optimization_guide_hint_cache_store/LOG b/user/user_data/Default/optimization_guide_hint_cache_store/LOG
new file mode 100644
index 0000000..e69de29
diff --git a/user/user_data/Default/optimization_guide_hint_cache_store/LOG.old b/user/user_data/Default/optimization_guide_hint_cache_store/LOG.old
new file mode 100644
index 0000000..e69de29
diff --git a/user/user_data/Default/shared_proto_db/000003.log b/user/user_data/Default/shared_proto_db/000003.log
index 07c5ba5..1bce49e 100644
Binary files a/user/user_data/Default/shared_proto_db/000003.log and b/user/user_data/Default/shared_proto_db/000003.log differ
diff --git a/user/user_data/Default/shared_proto_db/LOG b/user/user_data/Default/shared_proto_db/LOG
index 3a02dc2..8fd6bf0 100644
--- a/user/user_data/Default/shared_proto_db/LOG
+++ b/user/user_data/Default/shared_proto_db/LOG
@@ -1,3 +1,3 @@
-2026/01/15-11:07:11.571 1e3c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db/MANIFEST-000001
-2026/01/15-11:07:11.572 1e3c Recovering log #3
-2026/01/15-11:07:11.573 1e3c Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db/000003.log 
+2026/01/16-11:21:59.521 1088 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db/MANIFEST-000001
+2026/01/16-11:21:59.522 1088 Recovering log #3
+2026/01/16-11:21:59.523 1088 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db/000003.log 
diff --git a/user/user_data/Default/shared_proto_db/LOG.old b/user/user_data/Default/shared_proto_db/LOG.old
index 18fac30..14133f0 100644
--- a/user/user_data/Default/shared_proto_db/LOG.old
+++ b/user/user_data/Default/shared_proto_db/LOG.old
@@ -1,3 +1,3 @@
-2026/01/15-11:02:52.671 535c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db/MANIFEST-000001
-2026/01/15-11:02:52.672 535c Recovering log #3
-2026/01/15-11:02:52.673 535c Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db/000003.log 
+2026/01/16-11:18:36.723 69d8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db/MANIFEST-000001
+2026/01/16-11:18:36.724 69d8 Recovering log #3
+2026/01/16-11:18:36.725 69d8 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db/000003.log 
diff --git a/user/user_data/Default/shared_proto_db/metadata/000003.log b/user/user_data/Default/shared_proto_db/metadata/000003.log
index 4adb867..c521a59 100644
Binary files a/user/user_data/Default/shared_proto_db/metadata/000003.log and b/user/user_data/Default/shared_proto_db/metadata/000003.log differ
diff --git a/user/user_data/Default/shared_proto_db/metadata/LOG b/user/user_data/Default/shared_proto_db/metadata/LOG
index e69de29..3daf43a 100644
--- a/user/user_data/Default/shared_proto_db/metadata/LOG
+++ b/user/user_data/Default/shared_proto_db/metadata/LOG
@@ -0,0 +1,3 @@
+2026/01/16-11:21:59.506 1088 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db\metadata/MANIFEST-000001
+2026/01/16-11:21:59.507 1088 Recovering log #3
+2026/01/16-11:21:59.508 1088 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db\metadata/000003.log 
diff --git a/user/user_data/Default/shared_proto_db/metadata/LOG.old b/user/user_data/Default/shared_proto_db/metadata/LOG.old
index e69de29..b91ba10 100644
--- a/user/user_data/Default/shared_proto_db/metadata/LOG.old
+++ b/user/user_data/Default/shared_proto_db/metadata/LOG.old
@@ -0,0 +1,3 @@
+2026/01/16-11:18:36.708 69d8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db\metadata/MANIFEST-000001
+2026/01/16-11:18:36.708 69d8 Recovering log #3
+2026/01/16-11:18:36.709 69d8 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db\metadata/000003.log 
diff --git a/user/user_data/GrShaderCache/data_0 b/user/user_data/GrShaderCache/data_0
index e4b23c0..531afb7 100644
Binary files a/user/user_data/GrShaderCache/data_0 and b/user/user_data/GrShaderCache/data_0 differ
diff --git a/user/user_data/GrShaderCache/data_1 b/user/user_data/GrShaderCache/data_1
index 4a2650a..a3ec4ee 100644
Binary files a/user/user_data/GrShaderCache/data_1 and b/user/user_data/GrShaderCache/data_1 differ
diff --git a/user/user_data/GrShaderCache/data_3 b/user/user_data/GrShaderCache/data_3
index d52abaa..0a14042 100644
Binary files a/user/user_data/GrShaderCache/data_3 and b/user/user_data/GrShaderCache/data_3 differ
diff --git a/user/user_data/GrShaderCache/f_000014 b/user/user_data/GrShaderCache/f_000014
new file mode 100644
index 0000000..9707990
Binary files /dev/null and b/user/user_data/GrShaderCache/f_000014 differ
diff --git a/user/user_data/GrShaderCache/f_000015 b/user/user_data/GrShaderCache/f_000015
new file mode 100644
index 0000000..a942e9e
Binary files /dev/null and b/user/user_data/GrShaderCache/f_000015 differ
diff --git a/user/user_data/GrShaderCache/f_000016 b/user/user_data/GrShaderCache/f_000016
new file mode 100644
index 0000000..08b3e45
Binary files /dev/null and b/user/user_data/GrShaderCache/f_000016 differ
diff --git a/user/user_data/GrShaderCache/f_000017 b/user/user_data/GrShaderCache/f_000017
new file mode 100644
index 0000000..90eb0ec
Binary files /dev/null and b/user/user_data/GrShaderCache/f_000017 differ
diff --git a/user/user_data/GrShaderCache/f_000018 b/user/user_data/GrShaderCache/f_000018
new file mode 100644
index 0000000..58d2c80
Binary files /dev/null and b/user/user_data/GrShaderCache/f_000018 differ
diff --git a/user/user_data/GrShaderCache/f_000019 b/user/user_data/GrShaderCache/f_000019
new file mode 100644
index 0000000..1f2c18f
Binary files /dev/null and b/user/user_data/GrShaderCache/f_000019 differ
diff --git a/user/user_data/GrShaderCache/f_00001a b/user/user_data/GrShaderCache/f_00001a
new file mode 100644
index 0000000..f278b36
Binary files /dev/null and b/user/user_data/GrShaderCache/f_00001a differ
diff --git a/user/user_data/GrShaderCache/f_00001b b/user/user_data/GrShaderCache/f_00001b
new file mode 100644
index 0000000..d7683ce
Binary files /dev/null and b/user/user_data/GrShaderCache/f_00001b differ
diff --git a/user/user_data/GrShaderCache/f_00001c b/user/user_data/GrShaderCache/f_00001c
new file mode 100644
index 0000000..f9d10a6
Binary files /dev/null and b/user/user_data/GrShaderCache/f_00001c differ
diff --git a/user/user_data/GrShaderCache/f_00001d b/user/user_data/GrShaderCache/f_00001d
new file mode 100644
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","hash":"e8TJ45JLoenGW1GOHygGURjlxxY=","signature":"9O49yfEqqPgt3Q0FK/VTZmLeu1pSUylICRKVsCSC3EA=","timestamp":"1768533779"},{"data":"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","hash":"QhIjHRY4x5kZLax8jOXeiSjq02k=","signature":"ozAaPQMKMDr/PwTLW0QFoDPFfHm9pk18RfGnyJFe/jM=","timestamp":"1768533779"},{"data":"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","variations_safe_seed_date":"13413007116000000","variations_safe_seed_fetch_time":"13413007319844830","variations_safe_seed_locale":"zh-CN","variations_safe_seed_milestone":144,"variations_safe_seed_permanent_consistency_country":"us","variations_safe_seed_session_consistency_country":"us","variations_safe_seed_signature":"MEUCIQCymBP2Lf3vdACCjX2G5YmDuImqmPOnc4PjDmCcfEI2fAIgMx1S/Q3kkPKXEpE16UwuqvIoaX4EM363jHz1WPbFYdM=","variations_seed_date":"13413007319000000","variations_seed_milestone":144,"variations_seed_serial_number":"SMChYyMDI2MDExNS0wOTAwNTIuMTc2MDAwEgkIABADGJABIAAaEAoIMTc2ODUyNTUSBAgCEAE=#xo5ia+1YCuU=","variations_seed_signature":"MEUCIQCymBP2Lf3vdACCjX2G5YmDuImqmPOnc4PjDmCcfEI2fAIgMx1S/Q3kkPKXEpE16UwuqvIoaX4EM363jHz1WPbFYdM=","variations_sticky_studies":"RollBackModeB/EnabledLaunch","was":{"restarted":false}}
\ No newline at end of file
diff --git a/user/user_data/ShaderCache/data_1 b/user/user_data/ShaderCache/data_1
index a79f427..50c0371 100644
Binary files a/user/user_data/ShaderCache/data_1 and b/user/user_data/ShaderCache/data_1 differ
diff --git a/user/user_data/first_party_sets.db b/user/user_data/first_party_sets.db
index e76aefa..bd6cbd1 100644
Binary files a/user/user_data/first_party_sets.db and b/user/user_data/first_party_sets.db differ
diff --git a/user/user_data/segmentation_platform/ukm_db b/user/user_data/segmentation_platform/ukm_db
index b35ecf9..58e870d 100644
Binary files a/user/user_data/segmentation_platform/ukm_db and b/user/user_data/segmentation_platform/ukm_db differ
diff --git a/自动化.py b/自动化.py
index 15061f9..9fe116e 100644
--- a/自动化.py
+++ b/自动化.py
@@ -1,32 +1,27 @@
 import os
+import re
+import json
 import time
-from datetime import datetime
+from urllib.parse import urlparse
 
 from loguru import logger
-from DrissionPage import ChromiumPage, ChromiumOptions
+from bs4 import BeautifulSoup
+from curl_cffi import requests
+from DrissionPage import ChromiumPage, ChromiumOptions, SessionPage
 
 
 class Pdd:
-    def __init__(
-        self,
-        user_id,
-        file_path=None,
-        topics=None,
-        time_start=None,
-        interval=None,
-        creator_link=None,
-        count=None,
-        url=None,
-    ):
+    def __init__(self, url, user_id, time_start):
+        self.url = url
         self.user_id = user_id
-        self.file_path = file_path or url
-        self.topics = topics or ""
         self.time_start = time_start
-        self.interval = interval
-        self.creator_link = creator_link
-        self.count = count
 
+        self.session = requests.Session()
+
+        # 浏览器和URL模板
         self.page = None
+        self.user_url_template = None  # 用户视频列表URL模板
+        self.user_profile_url_template = None  # 用户信息URL模板
 
     def create_page(self):
         co = ChromiumOptions()
@@ -37,495 +32,545 @@ class Pdd:
         # 以该配置创建页面对象
         self.page = ChromiumPage(addr_or_opts=co)
 
-    def _parse_topics(self):
-        raw = str(self.topics or "").strip()
-        if not raw:
-            return []
-        for sep in ("－", "—", "–"):
-            raw = raw.replace(sep, "-")
-        parts = [p.strip() for p in raw.split("-")]
-        return [p for p in parts if p]
+    def extract_note_data(self, initial_state):
+        """
+        从初始状态中提取笔记数据（只提取标题、描述、图片列表、视频列表和话题）
 
-    def _format_topics_desc(self):
-        topics = self._parse_topics()
-        if not topics:
-            return ""
-        return " ".join(f"#{topic}" for topic in topics)
+        Args:
+            initial_state: window.__INITIAL_STATE__ 解析后的字典
 
-    def _collect_media_files(self):
-        path = str(self.file_path or "").strip()
-        if not path:
-            raise ValueError("文件路径为空")
-        if os.path.isfile(path):
-            return [path]
-        if not os.path.isdir(path):
-            raise ValueError(f"文件路径不存在：{path}")
-        
-        video_exts = {".mp4", ".mov", ".avi", ".mkv", ".wmv", ".webm", ".m4v"}
-        image_exts = {".jpg", ".jpeg", ".png", ".gif", ".bmp", ".webp", ".svg"}
-        all_exts = video_exts | image_exts
-        
-        files = []
-        for name in sorted(os.listdir(path)):
-            full = os.path.join(path, name)
-            if os.path.isfile(full):
-                ext = os.path.splitext(name)[1].lower()
-                if ext in all_exts:
-                    files.append(full)
-        
-        if not files:
-            raise ValueError(f"文件夹未找到媒体文件（视频或图片）：{path}")
-        
-        limit = self._normalize_count()
-        if limit:
-            files = files[:limit]
-        return files
-    
-    def _is_video_file(self, file_path):
-        """判断文件是否为视频"""
-        video_exts = {".mp4", ".mov", ".avi", ".mkv", ".wmv", ".webm", ".m4v"}
-        ext = os.path.splitext(file_path)[1].lower()
-        return ext in video_exts
-    
-    def _is_image_file(self, file_path):
-        """判断文件是否为图片"""
-        image_exts = {".jpg", ".jpeg", ".png", ".gif", ".bmp", ".webp", ".svg"}
-        ext = os.path.splitext(file_path)[1].lower()
-        return ext in image_exts
-
-    def _title_from_path(self, media_path):
-        if os.path.isdir(self.file_path):
-            return os.path.basename(os.path.normpath(self.file_path))
-        return os.path.basename(os.path.dirname(media_path))
-
-    def _normalize_count(self):
-        if self.count is None or self.count == "":
-            return None
+        Returns:
+            dict: 提取的笔记数据
+        """
         try:
-            value = int(float(self.count))
-            return value if value > 0 else None
-        except Exception:
-            return None
+            # 获取笔记详情
+            note_store = initial_state.get('note', {})
+            note_detail_map = note_store.get('noteDetailMap', {})
 
-    def _interval_seconds(self):
-        if self.interval is None or self.interval == "":
-            return 0
-        if isinstance(self.interval, (int, float)):
-            return int(float(self.interval) * 60)
-        text = str(self.interval).strip().lower()
-        try:
-            if text.endswith("秒") or text.endswith("s"):
-                return int(float(text.rstrip("秒s")))
-            if text.endswith("分钟") or text.endswith("m"):
-                return int(float(text.rstrip("分钟m")) * 60)
-            if text.endswith("小时") or text.endswith("h"):
-                return int(float(text.rstrip("小时h")) * 3600)
-            return int(float(text) * 60)
-        except Exception:
-            return 0
-
-    def _open_creator_tab(self):
-        max_retries = 3
-        for retry in range(max_retries):
-            try:
-                self.page.get(url="https://mcn.pinduoduo.com/register")
-                break
-            except Exception as e:
-                logger.warning(f"打开页面失败 (尝试 {retry + 1}/{max_retries}): {e}")
-                if retry < max_retries - 1:
-                    time.sleep(2)
+            # 获取第一个笔记ID
+            first_note_id = note_store.get('firstNoteId')
+            if not first_note_id:
+                # 如果没有firstNoteId，尝试获取noteDetailMap中的第一个key
+                if note_detail_map:
+                    first_note_id = list(note_detail_map.keys())[0]
                 else:
-                    raise
+                    print("未找到笔记ID")
+                    return None
 
-        for _ in range(15):
+            # 获取笔记详情
+            note_detail = note_detail_map.get(first_note_id, {})
+            note_info = note_detail.get('note', {})
+
+            if not note_info:
+                print("未找到笔记信息")
+                return None
+
+            # 只提取需要的字段
+            extracted_data = {
+                'title': note_info.get('title'),
+                'desc': note_info.get('desc'),
+                'images': [],
+                'videos': [],
+                'topics': []
+            }
+
+            # 提取图片信息
+            image_list = note_info.get('imageList', [])
+            for img in image_list:
+                image_data = {
+                    'url': img.get('urlDefault') or img.get('url'),
+                    'urlPre': img.get('urlPre'),
+                    'width': img.get('width'),
+                    'height': img.get('height'),
+                }
+                extracted_data['images'].append(image_data)
+
+            # 提取视频信息（如果存在）
+            video_info = note_info.get('video', {})
+            if video_info:
+                video_data = {}
+
+                # 尝试提取视频URL
+                media = video_info.get('media', {})
+                if media:
+                    stream = media.get('stream', {})
+                    if stream:
+                        hls = stream.get('hls', {})
+                        if hls:
+                            video_data['url'] = hls.get('masterUrl') or hls.get('url')
+                    # 如果没有hls，尝试其他字段
+                    if not video_data.get('url'):
+                        video_data['url'] = media.get('url') or media.get('videoUrl')
+
+                # 提取视频封面
+                if video_info.get('cover'):
+                    video_data['cover'] = video_info.get('cover')
+
+                # 提取视频时长
+                if video_info.get('time'):
+                    video_data['time'] = video_info.get('time')
+
+                if video_data.get('url'):
+                    extracted_data['videos'].append(video_data)
+
+            # 提取话题信息
+            # 话题可能在多个位置，尝试不同的字段名
+            topic_list = note_info.get('topicList', []) or note_info.get('tagList', []) or note_info.get('hashtagList',
+                                                                                                         [])
+            if topic_list:
+                for topic in topic_list:
+                    topic_data = {
+                        'name': topic.get('name') or topic.get('title') or topic.get('tagName'),
+                        'id': topic.get('id') or topic.get('topicId') or topic.get('tagId'),
+                    }
+                    if topic_data.get('name'):
+                        extracted_data['topics'].append(topic_data)
+
+            # 如果描述中包含话题（#话题#格式），也提取出来
+            desc = note_info.get('desc', '')
+            if desc:
+                # 使用正则表达式提取 #话题# 格式
+                topic_pattern = r'#([^#]+)#'
+                matches = re.findall(topic_pattern, desc)
+                for match in matches:
+                    # 避免重复添加
+                    if not any(t.get('name') == match for t in extracted_data['topics']):
+                        extracted_data['topics'].append({'name': match})
+
+            return extracted_data
+
+        except Exception as e:
+            print(f"提取笔记数据时出错：{e}")
+            import traceback
+            traceback.print_exc()
+            return None
+
+    def extract_video_from_meta(self, html_content):
+        """
+        从HTML的meta标签中提取视频信息
+
+        Args:
+            html_content: HTML内容字符串
+
+        Returns:
+            dict: 视频信息字典，如果没有找到则返回None
+        """
+        try:
+            soup = BeautifulSoup(html_content, 'html.parser')
+            video_info = {}
+
+            # 提取og:video标签
+            og_video = soup.find('meta', {'name': 'og:video'})
+            if og_video and og_video.get('content'):
+                video_info['url'] = og_video.get('content')
+
+            # 提取视频时长
+            og_videotime = soup.find('meta', {'name': 'og:videotime'})
+            if og_videotime and og_videotime.get('content'):
+                video_info['time'] = og_videotime.get('content')
+
+            # 提取视频质量
+            og_videoquality = soup.find('meta', {'name': 'og:videoquality'})
+            if og_videoquality and og_videoquality.get('content'):
+                video_info['quality'] = og_videoquality.get('content')
+
+            # 如果找到了视频URL，返回视频信息
+            if video_info.get('url'):
+                return video_info
+
+            return None
+        except Exception as e:
+            print(f"从meta标签提取视频信息时出错：{e}")
+            return None
+
+    def get_page_datas(self):
+        tab = self.page.new_tab()
+        tab.listen.start(self.url)
+
+        tab.get(url=self.url)
+
+        res = tab.listen.wait(timeout=3)
+        if res:
+            print(res.response.body)
+
+            # 提取meta标签中的视频信息
+            video_info = self.extract_video_from_meta(res.response.body)
+
+            # 使用正则表达式提取window.__INITIAL_STATE__的内容
+            pattern = r'<script>window\.__INITIAL_STATE__\s*=\s*({.*?});?\s*</script>'
+            match = re.search(pattern, res.response.body, re.DOTALL)
+
+            if not match:
+                print("未找到 window.__INITIAL_STATE__ 数据")
+                # 如果只有视频信息，返回视频信息
+                if video_info:
+                    return {'videos': [video_info]}
+                return None
+
+            # 提取JSON字符串
+            json_str = match.group(1)
+
+            # 处理JavaScript中的undefined值（Python JSON不支持undefined）
+            json_str = re.sub(r'\bundefined\b', 'null', json_str)
+
+            # 解析JSON
+            initial_state = json.loads(json_str)
+
+            # 提取笔记数据
+            note_data = self.extract_note_data(initial_state)
+
+            # 如果提取到视频信息，添加到笔记数据中
+            if video_info and note_data:
+                if 'videos' not in note_data or not note_data['videos']:
+                    note_data['videos'] = []
+                note_data['videos'].append(video_info)
+
+            tab.close()
+
+            return note_data
+
+    def download_video(self, url):
+        page = SessionPage()
+        page.download('https://sns-video-hw.xhscdn.com/stream/110/258/01e6cd08be6e36ad010370019190eceaac_258.mp4')
+
+    def download_image(self, url, name):
+        """
+        下载图片文件
+
+        Args:
+            url: 图片URL
+            save_path: 保存路径，如果为None则使用URL中的文件名
+        """
+        # 设置请求头
+        headers = {
+            'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
+            'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',
+            'Cache-Control': 'no-cache',
+            'DNT': '1',
+            'Pragma': 'no-cache',
+            'Proxy-Connection': 'keep-alive',
+            'Upgrade-Insecure-Requests': '1',
+            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0'
+        }
+
+        try:
+            # 发送请求，verify=False 相当于 curl 的 --insecure
+            response = requests.get(url, headers=headers, verify=False, timeout=30)
+            response.raise_for_status()  # 检查HTTP错误
+
+            # 保存文件
+            with open(f"{name}.webp", 'wb') as f:
+                f.write(response.content)
+
+            return True
+
+        except requests.exceptions.RequestException as e:
+            print(f"下载失败: {e}")
+            return None
+
+    def action(self):
+        self.create_page()
+
+        datas = self.get_page_datas()
+
+        self.page.get(url="https://mcn.pinduoduo.com/register")
+
+        for i in range(5):
             if self.page.ele("x://*[text()='登录']", timeout=5):
                 logger.warning("请登录》》》")
-                time.sleep(5)
             else:
                 break
         else:
-            raise RuntimeError("未登录")
-
-        try:
-            self.page.ele("x://*[text()='主播/作者管理']", timeout=10).click()
-            time.sleep(1)
-            self.page.ele("x://*[text()='签约主播/作者']", timeout=10).click()
-            ele = self.page.ele("x://*[text()='我知道了']", timeout=3)
-            if ele:
-                ele.click()
-                time.sleep(1)
-            self.page.ele('x://*[@placeholder="输入主播/作者ID搜索"]', timeout=10).input(vals=self.user_id, clear=True)
-            time.sleep(1)
-            self.page.ele("x://*[text()='提交']", timeout=10).click()
-            time.sleep(1)
-            self.page.actions.move_to(ele_or_loc="x://*[text()='内容管理']")
-            time.sleep(1)
-            self.page.ele("x://*[text()='内容管理']", timeout=10).click()
-            time.sleep(3)
-            # 等待标签页出现
-            creator_tab = None
-            for _ in range(10):
-                try:
-                    creator_tab = self.page.get_tab(url="home/creator/manage")
-                    if creator_tab:
-                        break
-                except Exception:
-                    pass
-                time.sleep(1)
-            if not creator_tab:
-                raise RuntimeError("无法打开内容管理页面")
-            return creator_tab
-        except Exception as e:
-            logger.error(f"打开创作者页面失败: {e}")
-            raise
-
-    def _apply_schedule(self, creator_tab):
-        if not self.time_start:
+            logger.error("未登录！！！")
             return
-        creator_tab.ele(
-            'x://*[@id="root"]/section/section/main/div/div/div/div[2]/div[2]/div/div[1]/div/div[2]/div/div[3]/div/div/div/label[2]'
-        ).click()
+
+        self.page.ele("x://*[text()='主播/作者管理']").click()
         time.sleep(1)
+        self.page.ele("x://*[text()='签约主播/作者']").click()
+        ele = self.page.ele("x://*[text()='我知道了']", timeout=3)
+        if ele:
+            ele.click()
+            time.sleep(1)
+        self.page.ele('x://*[@placeholder="输入主播/作者ID搜索"]').input(vals=self.user_id, clear=True)
+        time.sleep(1)
+        self.page.ele("x://*[text()='提交']").click()
+        time.sleep(1)
+        self.page.actions.move_to(ele_or_loc="x://*[text()='内容管理']")
+        time.sleep(1)
+        self.page.ele("x://*[text()='内容管理']").click()
+        time.sleep(3)
+        creator_tab = self.page.get_tab(url="home/creator/manage")
+        creator_tab.ele("x://*[text()='发布视频']").click()
 
-        date_picker_ele = creator_tab.ele('x://*[@placeholder="选择日期"]', timeout=3)
-        if not date_picker_ele:
-            return
-        try:
-            dt = datetime.strptime(self.time_start, "%Y-%m-%d %H:%M:%S")
-            date_str = dt.strftime("%Y-%m-%d")
-            time_str = dt.strftime("%H:%M:%S")
-            year = dt.year
-            month = dt.month
-            day = dt.day
-            hour = dt.hour
-            minute = dt.minute
-            second = dt.second
+        # 下载文件
+        path_datas = []
+        if datas.get("videos"):
+            for i in datas.get("videos"):
+                self.download_video(url=i["url"])
 
-            logger.info(
-                f"开始设置定时时间: {self.time_start} (年={year}, 月={month}, 日={day}, 时={hour}, 分={minute}, 秒={second})"
+                # 解析URL
+                parsed_url = urlparse(i["url"])
+                # 获取路径部分
+                path = parsed_url.path
+                # 从路径中提取文件名
+                filename = os.path.basename(path)
+
+                path_datas.append(filename)
+            creator_tab.ele("x://*[text()='发布视频']").click.to_upload(
+                path_datas)
+        else:
+            for _, i in enumerate(datas.get("images")):
+                self.download_image(url=i["url"], name=_)
+
+                path_datas.append(f"{_}.webp")
+
+            creator_tab.ele('x://*[text()="添加图片"]').click.to_upload(
+                path_datas
             )
 
-            date_picker_ele.click()
-            time.sleep(1.5)
+        time.sleep(3)
+        creator_tab.ele('x://*[@placeholder="添加标题"]').input(vals=datas["title"], clear=True)
+        time.sleep(3)
 
-            try:
-                month_text_ele = creator_tab.ele('x://span[@class="RPR_dateText_5-152-0"]', timeout=2)
-                if month_text_ele:
-                    current_month = month_text_ele.text
-                    target_month_str = f"{month}月"
-                    if current_month != target_month_str:
-                        current_month_num = int(current_month.replace("月", ""))
-                        target_month_num = month
-                        if target_month_num > current_month_num:
-                            arrow_selector = 'x://svg[@data-testid="beast-core-icon-right"]'
-                            clicks_needed = target_month_num - current_month_num
-                        else:
-                            arrow_selector = 'x://svg[@data-testid="beast-core-icon-left"]'
-                            clicks_needed = current_month_num - target_month_num
-                        for _ in range(min(clicks_needed, 12)):
-                            arrow = creator_tab.ele(arrow_selector, timeout=1)
-                            if arrow:
-                                arrow.click()
-                                time.sleep(0.4)
-                                new_month_ele = creator_tab.ele(
-                                    'x://span[@class="RPR_dateText_5-152-0"]', timeout=1
-                                )
-                                if new_month_ele and new_month_ele.text == target_month_str:
-                                    break
-            except Exception as e:
-                logger.warning(f"切换月份时出错: {e}，继续尝试选择日期")
+        xpath_path = creator_tab.ele('x://*[text()="添加视频描述"]').xpath
+        # 方法2：使用正则表达式替换最后一个div[1]
+        new_path = re.sub(r'div\[1\]$', 'div[2]', xpath_path)
+        new_path += "/div/div[3]/div/div/div"
+        creator_tab.ele(f'x:{new_path}').input(vals=datas["desc"].replace("[话题]", "")[:450], clear=True)
 
-            date_cell = creator_tab.ele(
-                f'x://td[@role="date-cell"]//div[@title="{day}" and not(contains(@class, "RPR_disabled")) and not(contains(@class, "RPR_outOfMonth"))]',
-                timeout=3,
-            )
-            if date_cell:
-                date_cell.click()
-                time.sleep(0.5)
+        # 定时
+        if self.time_start:
+            # 点击"定时发布"选项
+            creator_tab.ele(
+                'x://*[@id="root"]/section/section/main/div/div/div/div[2]/div[2]/div/div[1]/div/div[2]/div/div[3]/div/div/div/label[2]').click()
+            time.sleep(1)
 
-            time_input = creator_tab.ele('x://input[@data-testid="beast-core-timePicker-html-input"]', timeout=3)
-            if time_input:
-                time_input.click()
-                time.sleep(0.8)
-            else:
+            # 获取日期选择器元素
+            date_picker_ele = creator_tab.ele('x://*[@placeholder="选择日期"]', timeout=3)
+            if date_picker_ele:
+                # 解析时间字符串，格式：2026-01-15 09:30:00
                 try:
-                    time_input_xpath = "/html/body/div[2]/div/div/div/div/div/footer/div/div/div/div/div/div/div/div[1]/input"
-                    time_input = creator_tab.ele(f"x:{time_input_xpath}", timeout=2)
+                    from datetime import datetime
+                    dt = datetime.strptime(self.time_start, "%Y-%m-%d %H:%M:%S")
+                    date_str = dt.strftime("%Y-%m-%d")
+                    time_str = dt.strftime("%H:%M:%S")
+                    year = dt.year
+                    month = dt.month
+                    day = dt.day
+                    hour = dt.hour
+                    minute = dt.minute
+                    second = dt.second
+
+                    logger.info(
+                        f"开始设置定时时间: {self.time_start} (年={year}, 月={month}, 日={day}, 时={hour}, 分={minute}, 秒={second})")
+
+                    # 点击日期选择器打开面板
+                    date_picker_ele.click()
+                    time.sleep(1.5)  # 等待面板完全加载
+
+                    # 方法：通过点击日期和时间选择器来设置
+                    # 1. 如果需要，先切换年月
+                    # 2. 点击日期单元格
+                    # 3. 点击时间选择器中的小时、分钟、秒
+                    # 4. 点击确认按钮
+
+                    # 检查并切换年月（如果需要）
+                    # 获取当前显示的月份
+                    try:
+                        month_text_ele = creator_tab.ele('x://span[@class="RPR_dateText_5-152-0"]', timeout=2)
+                        if month_text_ele:
+                            current_month = month_text_ele.text
+                            logger.info(f"当前显示的月份: {current_month}")
+
+                            # 如果需要切换月份
+                            target_month_str = f"{month}月"
+                            if current_month != target_month_str:
+                                logger.info(f"需要切换到目标月份: {target_month_str}")
+                                # 计算月份差值（简化处理，只考虑同一年内）
+                                current_month_num = int(current_month.replace('月', ''))
+                                target_month_num = month
+
+                                # 确定点击方向
+                                if target_month_num > current_month_num:
+                                    # 点击右箭头
+                                    arrow_selector = 'x://svg[@data-testid="beast-core-icon-right"]'
+                                    clicks_needed = target_month_num - current_month_num
+                                else:
+                                    # 点击左箭头
+                                    arrow_selector = 'x://svg[@data-testid="beast-core-icon-left"]'
+                                    clicks_needed = current_month_num - target_month_num
+
+                                # 点击箭头切换月份
+                                for _ in range(min(clicks_needed, 12)):
+                                    arrow = creator_tab.ele(arrow_selector, timeout=1)
+                                    if arrow:
+                                        arrow.click()
+                                        time.sleep(0.4)
+                                        # 验证是否切换成功
+                                        new_month_ele = creator_tab.ele('x://span[@class="RPR_dateText_5-152-0"]',
+                                                                        timeout=1)
+                                        if new_month_ele and new_month_ele.text == target_month_str:
+                                            logger.info(f"成功切换到目标月份: {target_month_str}")
+                                            break
+                    except Exception as e:
+                        logger.warning(f"切换月份时出错: {e}，继续尝试选择日期")
+
+                    # 选择日期 - 点击对应的日期单元格
+                    date_cell = creator_tab.ele(
+                        f'x://td[@role="date-cell"]//div[@title="{day}" and not(contains(@class, "RPR_disabled")) and not(contains(@class, "RPR_outOfMonth"))]',
+                        timeout=3)
+                    if date_cell:
+                        date_cell.click()
+                        logger.info(f"已点击日期: {day}")
+                        time.sleep(0.5)
+                    else:
+                        logger.warning(f"未找到日期单元格: {day}")
+
+                    # 先点击时间输入框打开时间选择器
+                    time_input = creator_tab.ele('x://input[@data-testid="beast-core-timePicker-html-input"]',
+                                                 timeout=3)
                     if time_input:
                         time_input.click()
-                        time.sleep(0.8)
-                except Exception as e:
-                    logger.warning(f"通过XPath也未能找到时间输入框: {e}")
+                        logger.info("已点击时间输入框，打开时间选择器")
+                        time.sleep(0.8)  # 等待时间选择器面板打开
+                    else:
+                        logger.warning("未找到时间输入框，尝试使用XPath")
+                        # 备用方案：使用用户提供的XPath
+                        try:
+                            time_input_xpath = '/html/body/div[2]/div/div/div/div/div/footer/div/div/div/div/div/div/div/div[1]/input'
+                            time_input = creator_tab.ele(f'x:{time_input_xpath}', timeout=2)
+                            if time_input:
+                                time_input.click()
+                                logger.info("通过XPath点击了时间输入框")
+                                time.sleep(0.8)
+                        except Exception as e:
+                            logger.warning(f"通过XPath也未能找到时间输入框: {e}")
 
-            hour_str = f"{hour:02d}"
-            hour_item = creator_tab.ele(
-                f'x://ul[@data-testid="beast-core-timePicker-list-hh"]//li[text()="{hour_str}"]',
-                timeout=3,
-            )
-            if hour_item:
-                hour_item.scroll.to_see()
-                time.sleep(0.2)
-                hour_item.click()
-                time.sleep(0.3)
+                    # 选择时间 - 点击时间选择器中的小时、分钟、秒
+                    # 小时
+                    hour_str = f"{hour:02d}"
+                    hour_item = creator_tab.ele(
+                        f'x://ul[@data-testid="beast-core-timePicker-list-hh"]//li[text()="{hour_str}"]', timeout=3)
+                    if hour_item:
+                        hour_item.scroll.to_see()
+                        time.sleep(0.2)
+                        hour_item.click()
+                        logger.info(f"已选择小时: {hour_str}")
+                        time.sleep(0.3)
+                    else:
+                        logger.warning(f"未找到小时选项: {hour_str}")
 
-            minute_str = f"{minute:02d}"
-            minute_item = creator_tab.ele(
-                f'x://ul[@data-testid="beast-core-timePicker-list-mm"]//li[text()="{minute_str}"]',
-                timeout=3,
-            )
-            if minute_item:
-                minute_item.scroll.to_see()
-                time.sleep(0.2)
-                minute_item.click()
-                time.sleep(0.3)
+                    # 分钟
+                    minute_str = f"{minute:02d}"
+                    minute_item = creator_tab.ele(
+                        f'x://ul[@data-testid="beast-core-timePicker-list-mm"]//li[text()="{minute_str}"]', timeout=3)
+                    if minute_item:
+                        minute_item.scroll.to_see()
+                        time.sleep(0.2)
+                        minute_item.click()
+                        logger.info(f"已选择分钟: {minute_str}")
+                        time.sleep(0.3)
+                    else:
+                        logger.warning(f"未找到分钟选项: {minute_str}")
 
-            second_str = f"{second:02d}"
-            second_item = creator_tab.ele(
-                f'x://ul[@data-testid="beast-core-timePicker-list-ss"]//li[text()="{second_str}"]',
-                timeout=3,
-            )
-            if second_item:
-                second_item.scroll.to_see()
-                time.sleep(0.2)
-                second_item.click()
-                time.sleep(0.3)
+                    # 秒
+                    second_str = f"{second:02d}"
+                    second_item = creator_tab.ele(
+                        f'x://ul[@data-testid="beast-core-timePicker-list-ss"]//li[text()="{second_str}"]', timeout=3)
+                    if second_item:
+                        second_item.scroll.to_see()
+                        time.sleep(0.2)
+                        second_item.click()
+                        logger.info(f"已选择秒: {second_str}")
+                        time.sleep(0.3)
+                    else:
+                        logger.warning(f"未找到秒选项: {second_str}")
 
-            try:
-                confirm_btn = creator_tab.ele(
-                    'x://button[@data-testid="beast-core-button"]//span[text()="确认"]', timeout=3
-                )
-                if confirm_btn:
-                    confirm_btn.click()
+                    # 点击确认按钮
+                    try:
+                        # 查找确认按钮
+                        confirm_btn = creator_tab.ele(
+                            'x://button[@data-testid="beast-core-button"]//span[text()="确认"]', timeout=3)
+                        if confirm_btn:
+                            confirm_btn.click()
+                            logger.info("已点击确认按钮")
+                            time.sleep(0.5)
+                        else:
+                            # 尝试通过JavaScript点击确认按钮
+                            confirm_js = """
+                            (function() {
+                                const buttons = document.querySelectorAll('button[data-testid="beast-core-button"]');
+                                for (let btn of buttons) {
+                                    const span = btn.querySelector('span');
+                                    if (span && span.textContent.includes('确认')) {
+                                        btn.click();
+                                        return true;
+                                    }
+                                }
+                                return false;
+                            })();
+                            """
+                            result = creator_tab.run_js(confirm_js)
+                            if result:
+                                logger.info("通过JavaScript点击了确认按钮")
+                            else:
+                                logger.warning("未找到确认按钮")
+                            time.sleep(0.5)
+                    except Exception as e:
+                        logger.warning(f"点击确认按钮失败: {e}")
+
+                    # 验证设置是否成功
                     time.sleep(0.5)
-                else:
-                    confirm_js = """
+                    check_js = """
                     (function() {
-                        const buttons = document.querySelectorAll('button[data-testid="beast-core-button"]');
-                        for (let btn of buttons) {
-                            const span = btn.querySelector('span');
-                            if (span && span.textContent.includes('确认')) {
-                                btn.click();
-                                return true;
-                            }
-                        }
-                        return false;
+                        const dateInput = document.querySelector('[data-testid="beast-core-datePicker-htmlInput"]');
+                        return dateInput ? dateInput.value : null;
                     })();
                     """
-                    creator_tab.run_js(confirm_js)
-                    time.sleep(0.5)
-            except Exception as e:
-                logger.warning(f"点击确认按钮失败: {e}")
+                    final_value = creator_tab.run_js(check_js)
 
-            time.sleep(0.5)
-            check_js = """
-            (function() {
-                const dateInput = document.querySelector('[data-testid="beast-core-datePicker-htmlInput"]');
-                return dateInput ? dateInput.value : null;
-            })();
-            """
-            final_value = creator_tab.run_js(check_js)
-
-            if final_value and final_value.strip():
-                if not final_value.strip().startswith(date_str):
-                    logger.warning(f"设置的时间可能不准确，当前值: {final_value}, 期望日期: {date_str}")
-        except ValueError as e:
-            logger.error(f"时间格式错误: {self.time_start}, 正确格式应为: YYYY-MM-DD HH:MM:SS, 错误: {e}")
-        except Exception as e:
-            logger.error(f"设置定时时间失败: {e}")
-            import traceback
-
-            traceback.print_exc()
-
-    def _publish_one(self, creator_tab, media_path, title, desc):
-        is_video = self._is_video_file(media_path)
-        is_image = self._is_image_file(media_path)
-        
-        if not is_video and not is_image:
-            raise ValueError(f"不支持的文件类型: {media_path}")
-        
-        max_retries = 3
-        for retry in range(max_retries):
-            try:
-                if is_video:
-                    # 视频上传逻辑
-                    publish_btn = creator_tab.ele("x://*[text()='发布视频']", timeout=10)
-                    if not publish_btn:
-                        raise RuntimeError("未找到发布视频按钮")
-                    publish_btn.click()
-                    time.sleep(1)
-                    
-                    if not os.path.exists(media_path):
-                        raise FileNotFoundError(f"文件不存在: {media_path}")
-                    
-                    upload_btn = creator_tab.ele("x://*[text()='发布视频']", timeout=10)
-                    if not upload_btn:
-                        raise RuntimeError("未找到上传按钮")
-                    upload_btn.click.to_upload([media_path])
-                    time.sleep(3)
-                    
-                    # 视频描述
-                    desc_ele = creator_tab.ele('x://*[text()="添加视频描述"]', timeout=5)
-                    if desc_ele:
-                        xpath_path = desc_ele.xpath
-                        head, sep, tail = xpath_path.rpartition("div[1]")
-                        new_path = f"{head}div[2]{tail}" if sep else xpath_path
-                        new_path += "/div/div[3]/div/div/div"
-                        desc_input = creator_tab.ele(f"x:{new_path}", timeout=5)
-                        if desc_input:
-                            if desc:
-                                desc_input.input(vals=desc[:450], clear=True)
-                            else:
-                                desc_input.input(vals="", clear=True)
+                    if final_value and final_value.strip():
+                        logger.info(f"日期选择器当前值: {final_value}")
+                        # 检查是否匹配（允许时间有小的差异，因为可能只精确到秒）
+                        if final_value.strip().startswith(date_str):
+                            logger.info(f"成功设置定时时间: {final_value}")
+                        else:
+                            logger.warning(f"设置的时间可能不准确，当前值: {final_value}, 期望日期: {date_str}")
                     else:
-                        logger.warning("未找到视频描述输入框，继续执行")
-                else:
-                    # 图片上传逻辑
-                    publish_btn = creator_tab.ele("x://*[text()='发布视频']", timeout=10)
-                    if not publish_btn:
-                        raise RuntimeError("未找到发布视频按钮")
-                    publish_btn.click()
-                    time.sleep(1)
-                    
-                    if not os.path.exists(media_path):
-                        raise FileNotFoundError(f"文件不存在: {media_path}")
-                    
-                    # 查找添加图片按钮
-                    add_image_btn = creator_tab.ele('x://*[text()="添加图片"]', timeout=10)
-                    if not add_image_btn:
-                        # 尝试其他可能的文本
-                        add_image_btn = creator_tab.ele('x://*[contains(text(), "图片")]', timeout=5)
-                    if add_image_btn:
-                        add_image_btn.click.to_upload([media_path])
-                        time.sleep(3)
-                    else:
-                        raise RuntimeError("未找到添加图片按钮")
-                    
-                    # 图片描述（可能和视频描述位置不同）
-                    desc_ele = creator_tab.ele('x://*[text()="添加图片描述"]', timeout=5)
-                    if not desc_ele:
-                        desc_ele = creator_tab.ele('x://*[text()="添加描述"]', timeout=5)
-                    if not desc_ele:
-                        desc_ele = creator_tab.ele('x://*[contains(@placeholder, "描述")]', timeout=5)
-                    
-                    if desc_ele:
-                        try:
-                            xpath_path = desc_ele.xpath
-                            head, sep, tail = xpath_path.rpartition("div[1]")
-                            new_path = f"{head}div[2]{tail}" if sep else xpath_path
-                            new_path += "/div/div[3]/div/div/div"
-                            desc_input = creator_tab.ele(f"x:{new_path}", timeout=5)
-                            if desc_input:
-                                if desc:
-                                    desc_input.input(vals=desc[:450], clear=True)
-                                else:
-                                    desc_input.input(vals="", clear=True)
-                        except Exception as e:
-                            logger.warning(f"设置图片描述时出错: {e}，尝试直接输入")
-                            try:
-                                desc_ele.input(vals=desc[:450] if desc else "", clear=True)
-                            except Exception:
-                                logger.warning("无法设置图片描述，继续执行")
-                    else:
-                        logger.warning("未找到图片描述输入框，继续执行")
-                
-                # 标题输入（视频和图片共用）
-                title_input = creator_tab.ele('x://*[@placeholder="添加标题"]', timeout=10)
-                if title_input:
-                    title_input.input(vals=title, clear=True)
-                    time.sleep(1)
-                else:
-                    logger.warning("未找到标题输入框，继续执行")
+                        logger.error(f"无法获取日期选择器的值，可能设置失败")
 
-                self._apply_schedule(creator_tab)
-
-                if self.creator_link:
-                    ele = creator_tab.ele('x://*[text()="点击绑定任务"]', timeout=3)
-                    if ele:
-                        ele.click()
-                        link_input = creator_tab.ele('x://*[@placeholder="请输入个人主页链接"]', timeout=5)
-                        if link_input:
-                            link_input.input(self.creator_link)
-                            time.sleep(1)
-                            confirm_btn = creator_tab.ele('x://*[text()="确认"]', timeout=5)
-                            if confirm_btn:
-                                confirm_btn.click()
-                                time.sleep(1)
-
-                agree_ele = creator_tab.ele('x://*[text()="我已阅读并同意"]', timeout=3)
-                if agree_ele:
-                    agree_ele.click()
-                time.sleep(1)
-                
-                publish_btn = creator_tab.ele('x://*[text()="一键发布"]', timeout=10)
-                if publish_btn:
-                    publish_btn.click()
-                    time.sleep(5)
-                    media_type = "视频" if is_video else "图片"
-                    logger.info(f"成功发布{media_type}: {title}")
-                    return True
-                else:
-                    raise RuntimeError("未找到一键发布按钮")
-            except Exception as e:
-                logger.error(f"发布失败 (尝试 {retry + 1}/{max_retries}): {e}")
-                if retry < max_retries - 1:
-                    time.sleep(2)
-                else:
-                    raise
-        return False
-
-    def action(self):
-        creator_tab = None
-        try:
-            self.create_page()
-            creator_tab = self._open_creator_tab()
-            media_files = self._collect_media_files()
-            desc = self._format_topics_desc()
-            interval_seconds = self._interval_seconds()
-
-            logger.info(f"开始发布任务，共 {len(media_files)} 个文件")
-            for idx, media_path in enumerate(media_files):
-                try:
-                    title = self._title_from_path(media_path)
-                    logger.info(f"正在发布第 {idx + 1}/{len(media_files)} 个文件: {title}")
-                    success = self._publish_one(creator_tab, media_path, title, desc)
-                    if not success:
-                        logger.warning(f"文件 {media_path} 发布可能失败")
-                    
-                    if idx < len(media_files) - 1 and interval_seconds > 0:
-                        logger.info(f"等待间隔时间：{interval_seconds} 秒")
-                        time.sleep(interval_seconds)
+                except ValueError as e:
+                    logger.error(f"时间格式错误: {self.time_start}, 正确格式应为: YYYY-MM-DD HH:MM:SS, 错误: {e}")
                 except Exception as e:
-                    logger.error(f"发布文件 {media_path} 时出错: {e}")
-                    if idx < len(media_files) - 1:
-                        logger.info("继续处理下一个文件")
-                    else:
-                        raise
-            logger.info("所有文件发布完成")
-        except Exception as e:
-            logger.error(f"执行任务时出错: {e}")
-            raise
-        finally:
-            if creator_tab:
-                try:
-                    creator_tab.close()
-                except Exception as e:
-                    logger.warning(f"关闭标签页时出错: {e}")
-            if self.page:
-                try:
-                    # 不关闭整个浏览器，只清理资源
-                    pass
-                except Exception as e:
-                    logger.warning(f"清理页面资源时出错: {e}")
+                    logger.error(f"设置定时时间失败: {e}")
+                    import traceback
+                    traceback.print_exc()
+
+        # 绑定任务
+        ele = creator_tab.ele('x://*[text()="点击绑定任务"]', timeout=3)
+        if ele:
+            ele.click()
+            creator_tab.ele('x://*[@placeholder="请输入个人主页链接"]').input(self.url)
+            time.sleep(1)
+            creator_tab.ele('x://*[text()="确认"]').click()
+            time.sleep(1)
+
+        ele = creator_tab.ele('x://*[text()="我已阅读并同意"]', timeout=3)
+        if ele:
+            ele.click()
+        time.sleep(1)
+        creator_tab.ele('x://*[text()="一键发布"]').click()
+
+        time.sleep(5)
+
+        creator_tab.close()
 
 
 if __name__ == '__main__':
+    url = "https://www.xiaohongshu.com/explore/623d36d70000000001026733?xsec_token=ABhhM2ncuuuXOXUkG3YWI5ygMg2uLj9K1IYSxXyKARs3E=&xsec_source=pc_user"
     pdd = Pdd(
+        url=url,
         user_id="1050100241",
-        file_path="C:/videos/demo",
-        topics="测试-示例",
-        time_start="2026-01-15 09:30:00",
-        interval=5,
-        creator_link="https://example.com",
-        count=2,
+        time_start="2026-01-28 09:30:00",
     )
     pdd.action()
diff --git a/自动化_gui.py b/自动化_gui.py
index a86e023..b3fc85f 100644
--- a/自动化_gui.py
+++ b/自动化_gui.py
@@ -119,14 +119,18 @@ class TaskDialog(QDialog):
         self.file_path_edit = QLineEdit(task.get("file_path", ""))
         self.file_path_btn = QPushButton("选择文件夹")
         self.file_path_btn.clicked.connect(self._choose_folder)
+        self.file_select_btn = QPushButton("选择文件")
+        self.file_select_btn.clicked.connect(self._choose_file)
         file_path_layout = QHBoxLayout()
         file_path_layout.addWidget(self.file_path_edit)
         file_path_layout.addWidget(self.file_path_btn)
+        file_path_layout.addWidget(self.file_select_btn)
         file_path_container = QWidget()
         file_path_container.setLayout(file_path_layout)
 
         self.topics_edit = QLineEdit(task.get("topics", ""))
         self.interval_edit = QLineEdit(str(task.get("interval", "") or ""))
+        self.interval_edit.setPlaceholderText("例如：5（分钟）/ 30秒 / 1小时")
         self.creator_link_edit = QLineEdit(task.get("creator_link", ""))
         self.count_edit = QLineEdit(str(task.get("count", "") or ""))
         self.note_edit = QLineEdit(task.get("note", ""))
@@ -158,7 +162,7 @@ class TaskDialog(QDialog):
         form.addRow(self.enabled_checkbox)
         form.addRow(self.time_checkbox, self.time_edit)
 
-        hint = QLabel("提示：文件夹名作为标题；话题会自动添加 #；定时为空时会立即发布。")
+        hint = QLabel("提示：文件名作为标题；话题会自动添加 #；定时为空时会立即发布；存在子文件夹时按文件夹间隔发布。")
         hint.setStyleSheet("color: #666;")
 
         layout.addLayout(form)
@@ -179,6 +183,16 @@ class TaskDialog(QDialog):
         if path:
             self.file_path_edit.setText(path)
 
+    def _choose_file(self):
+        path, _ = QFileDialog.getOpenFileName(
+            self,
+            "选择文件",
+            BASE_DIR,
+            "媒体文件 (*.mp4 *.mov *.avi *.mkv *.wmv *.webm *.m4v *.jpg *.jpeg *.png *.gif *.bmp *.webp *.svg);;所有文件 (*.*)",
+        )
+        if path:
+            self.file_path_edit.setText(path)
+
     def showEvent(self, event):
         super().showEvent(event)
         self._center_dialog()
@@ -863,6 +877,10 @@ class MainWindow(QMainWindow):
             QMessageBox.information(self, "提示", "已有任务在运行中。")
             return
         
+        invalid_rows = self._validate_rows(rows)
+        if invalid_rows:
+            return
+        
         # 启动前先保存配置
         try:
             self._sync_enabled_flags()
@@ -898,6 +916,31 @@ class MainWindow(QMainWindow):
         self._set_running(True, "运行中...")
         self.runner.start()
 
+    def _validate_rows(self, rows):
+        invalid = []
+        for row in rows:
+            if row >= len(self.tasks):
+                continue
+            task = self.tasks[row]
+            file_path = str(task.get("file_path", "")).strip()
+            user_id = str(task.get("user_id", "")).strip()
+            if not file_path or not user_id or not os.path.exists(file_path):
+                invalid.append((row + 1, file_path, user_id))
+        if not invalid:
+            return []
+        preview = "\n".join(
+            f"第{row}行：user_id={user_id or '-'}，路径={path or '-'}"
+            for row, path, user_id in invalid[:5]
+        )
+        if len(invalid) > 5:
+            preview += f"\n... 还有 {len(invalid) - 5} 行"
+        QMessageBox.warning(
+            self,
+            "任务校验失败",
+            f"选中任务存在用户ID为空或路径不存在的情况：\n{preview}\n请先修正后再运行。",
+        )
+        return invalid
+
     def _on_task_started(self, index):
         self.tasks[index]["status"] = "运行中"
         self.tasks[index]["last_run"] = QDateTime.currentDateTime().toString(DT_FORMAT)
diff --git a/自动化_wrapper.py b/自动化_wrapper.py
index 9cdfd0f..d2d91aa 100644
--- a/自动化_wrapper.py
+++ b/自动化_wrapper.py
@@ -49,9 +49,18 @@ class PddRunner:
         normalized_time = self._normalize_time_start(time_start)
         last_exc = None
         pdd = None
+        def combined_stop():
+            if self._stop_requested:
+                return True
+            if stop_callback:
+                try:
+                    return bool(stop_callback())
+                except Exception:
+                    return False
+            return False
         for attempt in range(self.retries + 1):
             # 检查停止请求
-            if self._stop_requested or (stop_callback and stop_callback()):
+            if combined_stop():
                 return False, "已停止"
             
             try:
@@ -64,11 +73,11 @@ class PddRunner:
                     creator_link=creator_link,
                     count=count,
                 )
-                pdd.action()
+                pdd.action(stop_callback=combined_stop)
                 return True, "完成"
             except Exception as exc:
                 # 检查是否是因为停止请求导致的异常
-                if self._stop_requested or (stop_callback and stop_callback()):
+                if combined_stop():
                     return False, "已停止"
                 
                 last_exc = exc