diff --git a/gui_app.py b/gui_app.py index 6c12b0c..d5b004b 100644 --- a/gui_app.py +++ b/gui_app.py @@ -17,7 +17,8 @@ from PyQt5.QtWidgets import ( QStyleOptionProgressBar, QStyleOptionButton, QHeaderView, QTabWidget, QSplitter, QSizePolicy ) -from PyQt5.QtCore import Qt, QThread, pyqtSignal, QDateTime, QSize, QAbstractTableModel, QModelIndex, QSortFilterProxyModel, QRegularExpression, QSettings +from PyQt5.QtCore import Qt, QThread, pyqtSignal, QDateTime, QSize, QAbstractTableModel, QModelIndex, \ + QSortFilterProxyModel, QRegularExpression, QSettings from PyQt5.QtGui import QFont, QTextDocument, QTextCursor, QKeySequence, QColor, QPainter from qfluentwidgets import ( @@ -55,7 +56,7 @@ class WorkerThread(QThread): # 配置日志输出到GUI logger.remove() logger.add(lambda msg: self.log_message.emit(str(msg).strip())) - + if self.is_batch_mode: self.run_batch_mode() else: @@ -75,7 +76,7 @@ class WorkerThread(QThread): try: config = self.config_data self.log_message.emit(f"开始处理单个任务（逐个上传模式）...") - + pdd = Pdd( url=config.get('达人链接', ''), user_id=config.get('多多id', ''), @@ -84,16 +85,17 @@ class WorkerThread(QThread): index=config.get('序号', ''), title=config.get('标题', None) ) - + # 如果已经预查找了文件，直接使用 if self.prepared_files: self.log_message.emit(f"使用预查找的文件列表，共 {len(self.prepared_files)} 个文件") self.progress.emit(30) - + # 判断是否为视频文件 video_extensions = ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'] - video_files = [f for f in self.prepared_files if f['path'].is_file() and any(f['path'].suffix.lower() == ext for ext in video_extensions)] - + video_files = [f for f in self.prepared_files if + f['path'].is_file() and any(f['path'].suffix.lower() == ext for ext in video_extensions)] + # 如果勾选了批量上传且是视频，调用action1方法 if self.is_batch_mode and video_files: # 批量上传视频，调用action1方法 @@ -124,7 +126,7 @@ class WorkerThread(QThread): else: # 文件夹路径：最外层文件夹/多多ID文件夹/文件夹名 folder_path = str(first_file['path'].parent.parent) - + self.log_message.emit(f"使用文件夹路径: {folder_path}") try: pdd.action(folder_path=folder_path, collect_all_videos=False) @@ -145,19 +147,19 @@ class WorkerThread(QThread): folder_path = config.get('文件夹路径', '').strip() if not folder_path: folder_path = get_default_folder_path() - + if not os.path.exists(folder_path): error_msg = f"文件夹路径不存在: {folder_path}" self.finished.emit(False, error_msg) self.log_message.emit(error_msg) return - + self.log_message.emit(f"使用文件夹路径: {folder_path}") self.progress.emit(30) - + # 检查是否勾选了批量上传 is_batch_mode = self.is_batch_mode - + # 调用action方法 try: pdd.action(folder_path=folder_path, collect_all_videos=is_batch_mode) @@ -171,7 +173,7 @@ class WorkerThread(QThread): self.log_message.emit(f"错误详情: {traceback_str}") self.finished.emit(False, error_msg) return - + self.progress.emit(100) self.finished.emit(True, "单个任务执行完成") except Exception as e: @@ -189,9 +191,9 @@ class WorkerThread(QThread): try: config = self.config_data self.log_message.emit(f"开始处理批量上传任务...") - + index = config.get('序号', '') - + # 创建Pdd实例 pdd = Pdd( url=config.get('达人链接', ''), @@ -201,17 +203,18 @@ class WorkerThread(QThread): index=index, title=config.get('标题', None) ) - + # 如果已经预查找了文件，直接使用 if self.prepared_files: self.log_message.emit(f"使用预查找的文件列表，共 {len(self.prepared_files)} 个文件") self.progress.emit(30) - + # 分离视频文件和图片文件夹 video_extensions = ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'] - video_file_paths = [f for f in self.prepared_files if f['path'].is_file() and any(f['path'].suffix.lower() == ext for ext in video_extensions)] + video_file_paths = [f for f in self.prepared_files if f['path'].is_file() and any( + f['path'].suffix.lower() == ext for ext in video_extensions)] image_folders = [f for f in self.prepared_files if f['path'].is_dir()] - + # 如果有视频，批量上传所有视频 if video_file_paths: self.log_message.emit(f"找到 {len(video_file_paths)} 个视频文件，开始批量上传...") @@ -220,47 +223,48 @@ class WorkerThread(QThread): self.log_message.emit(f"批量上传视频完成，共处理 {len(video_file_paths)} 个视频") else: self.log_message.emit("未找到视频文件，跳过视频上传") - + # 如果有图片文件夹，逐个上传图片 if image_folders: self.log_message.emit(f"找到 {len(image_folders)} 个图片文件夹，开始逐个上传...") self.progress.emit(70) - + for idx, image_folder_info in enumerate(image_folders): if not self.is_running: break - + image_folder = str(image_folder_info['path']) self.log_message.emit(f"处理第 {idx + 1}/{len(image_folders)} 个图片文件夹: {image_folder}") # 使用action方法处理图片文件夹 pdd.action(folder_path=image_folder) self.log_message.emit(f"图片文件夹 {idx + 1} 上传完成") - + self.log_message.emit(f"所有图片文件夹上传完成，共处理 {len(image_folders)} 个文件夹") else: self.log_message.emit("未找到图片文件夹，跳过图片上传") - + self.progress.emit(100) total_count = len(video_file_paths) + len(image_folders) - self.finished.emit(True, f"批量任务执行完成，共处理 {len(video_file_paths)} 个视频和 {len(image_folders)} 个图片文件夹") + self.finished.emit(True, + f"批量任务执行完成，共处理 {len(video_file_paths)} 个视频和 {len(image_folders)} 个图片文件夹") else: # 未预查找文件，使用原来的逻辑 folder_path = config.get('文件夹路径', '').strip() if not folder_path: folder_path = get_default_folder_path() - + if not os.path.exists(folder_path): self.finished.emit(False, f"文件夹路径不存在: {folder_path}") return - + # 第一步：收集所有视频文件 self.log_message.emit("第一步：收集所有视频文件...") video_file_paths = self.prepare_batch_files(folder_path, config) - + # 第二步：收集所有图片文件夹 self.log_message.emit("第二步：收集所有图片文件夹...") image_folders = self.prepare_image_folders(folder_path, index) - + # 第三步：如果有视频，批量上传所有视频 if video_file_paths: self.log_message.emit(f"找到 {len(video_file_paths)} 个视频文件，开始批量上传...") @@ -269,29 +273,30 @@ class WorkerThread(QThread): self.log_message.emit(f"批量上传视频完成，共处理 {len(video_file_paths)} 个视频") else: self.log_message.emit("未找到视频文件，跳过视频上传") - + # 第四步：如果有图片文件夹，逐个上传图片 if image_folders: self.log_message.emit(f"找到 {len(image_folders)} 个图片文件夹，开始逐个上传...") self.progress.emit(70) - + for idx, image_folder in enumerate(image_folders): if not self.is_running: break - + self.log_message.emit(f"处理第 {idx + 1}/{len(image_folders)} 个图片文件夹: {image_folder}") # 使用action方法处理图片文件夹 pdd.action(folder_path=image_folder) self.log_message.emit(f"图片文件夹 {idx + 1} 上传完成") - + self.log_message.emit(f"所有图片文件夹上传完成，共处理 {len(image_folders)} 个文件夹") else: self.log_message.emit("未找到图片文件夹，跳过图片上传") - + self.progress.emit(100) total_count = len(video_file_paths) + len(image_folders) - self.finished.emit(True, f"批量任务执行完成，共处理 {len(video_file_paths)} 个视频和 {len(image_folders)} 个图片文件夹") - + self.finished.emit(True, + f"批量任务执行完成，共处理 {len(video_file_paths)} 个视频和 {len(image_folders)} 个图片文件夹") + except Exception as e: self.finished.emit(False, f"批量执行失败: {str(e)}") logger.error(f"批量执行失败: {e}") @@ -299,28 +304,67 @@ class WorkerThread(QThread): def prepare_image_folders(self, folder_path, index): """收集所有匹配序号的图片文件夹（与main.py中action方法的逻辑一致）""" image_folders = [] - + try: + # 参数验证 + if not folder_path or not os.path.exists(folder_path): + logger.warning(f"文件夹路径无效或不存在: {folder_path}") + return image_folders + + if not os.access(folder_path, os.R_OK): + logger.error(f"没有权限读取文件夹: {folder_path}") + return image_folders + # 遍历最外层文件夹下的所有子文件夹（与main.py逻辑一致） - for file in os.listdir(folder_path): # 获取文件夹下所有的文件夹 - file_path = os.path.join(folder_path, file) # 拼接文件夹 - # 检查是否为目录，跳过文件（如.lnk快捷方式） - if not os.path.isdir(file_path): + try: + subdirs = os.listdir(folder_path) + except PermissionError: + logger.error(f"没有权限访问文件夹: {folder_path}") + return image_folders + except Exception as e: + logger.error(f"读取文件夹失败: {e}") + return image_folders + + for file in subdirs: + try: + file_path = os.path.join(folder_path, file) # 拼接文件夹 + # 检查是否为目录，跳过文件（如.lnk快捷方式） + if not os.path.isdir(file_path): + continue + + # 获取用户id下的文件 + try: + files = os.listdir(file_path) + except PermissionError: + logger.warning(f"没有权限访问子文件夹: {file_path}") + continue + except Exception as e: + logger.warning(f"读取子文件夹失败: {file_path}, 错误: {e}") + continue + + for file_name in files: + try: + # 跳过隐藏文件 + if file_name.startswith('.'): + continue + + # 用"-"分割文件名，检查第一部分是否等于序号 + file_names = file_name.split("-") + if len(file_names) > 0 and file_names[0] == str(index): + path = Path(os.path.join(file_path, file_name)) + # 确保路径存在 + if path.exists() and path.is_dir(): + # 这是一个图片文件夹 + image_folders.append(str(path)) + except Exception as e: + logger.warning(f"处理文件 {file_name} 时出错: {e}") + continue + except Exception as e: + logger.warning(f"处理子文件夹 {file} 时出错: {e}") continue - - files = os.listdir(file_path) # 获取用户id下的文件 - for file_name in files: - # 用"-"分割文件名，检查第一部分是否等于序号 - file_names = file_name.split("-") - if len(file_names) > 0 and file_names[0] == str(index): - path = Path(os.path.join(file_path, file_name)) - # 判断是否为文件夹（图片文件夹） - if not path.is_file(): - # 这是一个图片文件夹 - image_folders.append(str(path)) except Exception as e: - logger.error(f"收集图片文件夹失败: {e}") - + logger.error(f"收集图片文件夹失败: {e}", exc_info=True) + return image_folders def count_videos_in_folder(self, folder_path, index): @@ -333,7 +377,7 @@ class WorkerThread(QThread): # 检查是否为目录，跳过文件（如.lnk快捷方式） if not os.path.isdir(file_path): continue - + files = os.listdir(file_path) # 获取用户id下的文件 for file_name in files: # 检查是否是视频文件（.mp4） @@ -354,39 +398,65 @@ class WorkerThread(QThread): count += 1 except Exception as e: logger.error(f"统计视频文件失败: {e}") - + return count def prepare_batch_files(self, folder_path, config): """准备批量上传的文件列表（与main.py中的action1方法逻辑一致）""" file_paths = [] - index = config.get('序号', '') + # 参数验证 + if not config: + logger.error("配置为空，无法准备批量上传文件") + return file_paths + + index = str(config.get('序号', '')).strip() + if not index: + logger.warning("序号为空，无法准备批量上传文件") + return file_paths + + if not folder_path or not os.path.exists(folder_path): + logger.error(f"文件夹路径无效或不存在: {folder_path}") + return file_paths + + if not os.access(folder_path, os.R_OK): + logger.error(f"没有权限读取文件夹: {folder_path}") + return file_paths + logger.info("=" * 50) logger.info("开始准备批量上传文件列表...") logger.info(f"文件夹路径: {folder_path}") logger.info(f"查找序号: {index}") - + try: # 遍历最外层文件夹下的所有子文件夹（与main.py逻辑一致） - subdirs = [f for f in os.listdir(folder_path) if os.path.isdir(os.path.join(folder_path, f))] - logger.info(f"在最外层文件夹下找到 {len(subdirs)} 个子文件夹（多多ID文件夹）") + try: + all_items = os.listdir(folder_path) + subdirs = [f for f in all_items if os.path.isdir(os.path.join(folder_path, f))] + except PermissionError: + logger.error(f"没有权限访问文件夹: {folder_path}") + return file_paths + except Exception as e: + logger.error(f"读取文件夹失败: {e}") + return file_paths + logger.info(f"在最外层文件夹下找到 {len(subdirs)} 个子文件夹（多多ID文件夹）") + for subdir_name in subdirs: file_path = os.path.join(folder_path, subdir_name) # 拼接文件夹 logger.info(f" 正在扫描子文件夹: {subdir_name}") - + # 检查是否为目录，跳过文件（如.lnk快捷方式） if not os.path.isdir(file_path): logger.info(f" 跳过（不是文件夹）") continue - + files = os.listdir(file_path) # 获取用户id下的文件 logger.info(f" 该文件夹下有 {len(files)} 个项目") - + for file_name in files: logger.info(f" 检查项目: {file_name}") - + # 检查是否是视频文件（.mp4） if ".mp4" in file_name: logger.info(f" ✓ 是视频文件（包含.mp4）") @@ -394,11 +464,11 @@ class WorkerThread(QThread): # 文件名格式：4-茶叶蛋大冒险-.mp4 -> ['4', '茶叶蛋大冒险', '', 'mp4'] file_names = file_name.split("-") logger.info(f" 文件名分割结果: {file_names}") - + if len(file_names) > 0 and file_names[0] == str(index): logger.info(f" ✓ 序号匹配！序号: {file_names[0]}, 目标序号: {index}") path = Path(os.path.join(file_path, file_name)) - + # 判断是否为文件 if path.is_file(): logger.info(f" ✓ 是文件，添加到列表: {path.name}") @@ -425,7 +495,8 @@ class WorkerThread(QThread): file_paths.append({ "url": config.get('达人链接', ''), "user_id": config.get('多多id', ''), - "time_start": config.get('定时发布', '') if config.get('定时发布') else None, + "time_start": config.get('定时发布', '') if config.get( + '定时发布') else None, "ht": config.get('话题', ''), "index": str(index), "path": sub_path @@ -444,23 +515,29 @@ class WorkerThread(QThread): logger.error(f"准备批量文件失败: {e}") import traceback traceback.print_exc() - + logger.info("=" * 50) logger.info(f"文件收集完成！共找到 {len(file_paths)} 个视频文件") if file_paths: logger.info("视频文件列表:") for idx, video_info in enumerate(file_paths, 1): logger.info(f" {idx}. {video_info['path'].name} ({video_info['path']})") - + return file_paths def stop(self): """停止执行""" self.is_running = False + + def requestInterruption(self): + """请求中断线程（重写QThread方法）""" + super().requestInterruption() + self.is_running = False class ConfigTableModel(QAbstractTableModel): """大数据量表格模型""" + def __init__(self, configs, headers, parent=None): super().__init__(parent) self._configs = configs @@ -540,6 +617,7 @@ class ConfigTableModel(QAbstractTableModel): class TableActionDelegate(QStyledItemDelegate): """Model/View 操作列 + 进度列 delegate""" + def __init__(self, parent, on_edit, on_delete): super().__init__(parent) self.on_edit = on_edit @@ -603,6 +681,7 @@ class TableActionDelegate(QStyledItemDelegate): class MainWindow(QMainWindow): """主窗口""" + def __init__(self): super().__init__() self.worker_thread = None @@ -624,16 +703,17 @@ class MainWindow(QMainWindow): self.log_match_index = -1 self.log_match_items = [] self.is_updating_table = False + self._is_closing = False # 标记是否正在关闭窗口 self.init_ui() def init_ui(self): self.setWindowTitle("拼多多自动化发布工具") self.setGeometry(100, 100, 1000, 800) - + # 创建中央部件 central_widget = QWidget() self.setCentralWidget(central_widget) - + # 主布局 main_layout = QVBoxLayout() main_layout.setContentsMargins(20, 20, 20, 20) @@ -745,8 +825,10 @@ class MainWindow(QMainWindow): self.nav_buttons = [] for idx, (btn, icon_type) in enumerate(nav_items): btn.setCheckable(True) - btn.setIcon(self.style().standardIcon(icon_type)) - btn.setIconSize(QSize(16, 16)) + # 去掉左侧图标，避免在某些环境下图标位置异常遮挡中文文字 + # 如果后续需要图标，可以在这里重新启用并配合样式表单独调整 padding + # btn.setIcon(self.style().standardIcon(icon_type)) + # btn.setIconSize(QSize(16, 16)) self.nav_group.addButton(btn, idx) nav_layout.addWidget(btn) self.nav_buttons.append(btn) @@ -766,7 +848,7 @@ class MainWindow(QMainWindow): self.page_stack = QStackedWidget() content_layout.addWidget(self.page_stack) content_layout.setStretch(1, 1) - + # 配置输入区域 config_group = CardWidget() config_layout = QVBoxLayout(config_group) @@ -864,13 +946,13 @@ class MainWindow(QMainWindow): config_layout.addLayout(grid) config_layout.addStretch() - + config_page = QWidget() config_page_layout = QVBoxLayout(config_page) config_page_layout.setContentsMargins(0, 0, 0, 0) config_page_layout.setSpacing(12) config_page_layout.addWidget(config_group) - + # 配置列表表格（如果从Excel导入） self.table_group = CardWidget() table_layout = QVBoxLayout(self.table_group) @@ -1051,7 +1133,7 @@ class MainWindow(QMainWindow): self.config_splitter.splitterMoved.connect(self._save_splitter_sizes) config_page_layout.addWidget(self.config_splitter) self.page_stack.addWidget(config_page) - + # 工作台标签页 self.workbench_tabs = QTabWidget() self.workbench_tabs.addTab(config_page, "配置") @@ -1065,7 +1147,7 @@ class MainWindow(QMainWindow): self.progress_bar = ProgressBar() self.progress_bar.setVisible(False) main_layout.addWidget(self.progress_bar) - + # 日志显示区域 log_group = CardWidget() log_layout = QVBoxLayout(log_group) @@ -1122,7 +1204,7 @@ class MainWindow(QMainWindow): log_page_layout.setContentsMargins(0, 0, 0, 0) log_page_layout.addWidget(log_group) self.page_stack.addWidget(log_page) - + # 配置日志输出（保留控制台输出，GUI通过信号接收） logger.remove() logger.add(lambda msg: None) # 禁用默认输出，通过信号在GUI中显示 @@ -1247,9 +1329,11 @@ class MainWindow(QMainWindow): config_index = self.page_row_indices[row] if config_index >= len(self.configs): return + def cell(col): item = self.config_table.item(row, col) return item.text().strip() if item else "" + self.configs[config_index].update({ "多多id": cell(0), "序号": cell(1), @@ -1269,6 +1353,7 @@ class MainWindow(QMainWindow): def cell(col): item = self.config_table.item(row, col) return item.text().strip() if item else "" + configs.append({ "多多id": cell(0), "序号": cell(1), @@ -1396,6 +1481,7 @@ class MainWindow(QMainWindow): reverse=(order == Qt.DescendingOrder) ) self.update_table() + def show_table_context_menu(self, pos): """表格右键菜单""" menu = QMenu(self) @@ -1592,6 +1678,7 @@ class MainWindow(QMainWindow): self._show_infobar("success", "成功", f"已导出: {file_path}") except Exception as e: self._show_infobar("error", "错误", f"导出失败: {str(e)}") + def toggle_nav_compact(self): """切换侧边导航收起/展开""" self.nav_compact = not self.nav_compact @@ -1646,7 +1733,8 @@ class MainWindow(QMainWindow): regex.setPatternOptions(QRegularExpression.CaseInsensitiveOption) self.table_proxy.setFilterRegularExpression(regex) if hasattr(self, "table_filter_status"): - self.table_filter_status.setText(f"显示: {self.table_proxy.rowCount()}/{self.table_model.rowCount()} | 命中: 0") + self.table_filter_status.setText( + f"显示: {self.table_proxy.rowCount()}/{self.table_model.rowCount()} | 命中: 0") return if not self.config_table or self.config_table.rowCount() == 0: if hasattr(self, "table_filter_status"): @@ -1704,7 +1792,8 @@ class MainWindow(QMainWindow): else: item.setBackground(self._default_color()) else: - terms = terms_raw if self.table_case_sensitive.isChecked() else [t.lower() for t in terms_raw] + terms = terms_raw if self.table_case_sensitive.isChecked() else [t.lower() for t in + terms_raw] term_hit = any(term in cell_compare for term in terms) if any_term else all( term in cell_compare for term in terms ) @@ -1765,7 +1854,8 @@ class MainWindow(QMainWindow): return else: terms = terms_raw if self.table_case_sensitive.isChecked() else [t.lower() for t in terms_raw] - term_hit = any(term in cell_compare for term in terms) if self.table_any_term.isChecked() else all( + term_hit = any( + term in cell_compare for term in terms) if self.table_any_term.isChecked() else all( term in cell_compare for term in terms ) if term_hit: @@ -1894,9 +1984,11 @@ class MainWindow(QMainWindow): def _build_table_match_label(self, row): """构建表格匹配项显示文本""" + def cell_text(col): item = self.config_table.item(row, col) return item.text().strip() if item else "" + user_id = cell_text(0) index = cell_text(1) topic = cell_text(2) @@ -2126,7 +2218,7 @@ class MainWindow(QMainWindow): """应用配置表列宽（不随内容变化）""" widths = { 0: 120, # 多多ID - 1: 80, # 序号 + 1: 80, # 序号 2: 160, # 话题 3: 160, # 定时发布 4: 110, # 间隔时间 @@ -2134,7 +2226,7 @@ class MainWindow(QMainWindow): 6: 120, # 执行人 7: 100, # 情况 8: 220, # 文件路径 - 9: 90, # 进度 + 9: 90, # 进度 10: 140 # 操作 } for col, width in widths.items(): @@ -2208,7 +2300,6 @@ class MainWindow(QMainWindow): else: InfoBar.error(title=title, content=content, parent=self, position=InfoBarPosition.TOP_RIGHT) - def browse_excel(self): """浏览Excel文件""" file_path, _ = QFileDialog.getOpenFileName( @@ -2222,22 +2313,43 @@ class MainWindow(QMainWindow): folder_path = QFileDialog.getExistingDirectory(self, "选择文件夹") if folder_path: self.folder_path_input.setText(folder_path) - + def import_excel(self): """导入Excel配置文件""" - excel_path = self.excel_path_input.text() - if not excel_path or not os.path.exists(excel_path): - self._show_infobar("warning", "警告", "请先选择有效的Excel文件") + excel_path = self.excel_path_input.text().strip() + if not excel_path: + self._show_infobar("warning", "警告", "请先选择Excel文件") return + if not os.path.exists(excel_path): + self._show_infobar("warning", "警告", f"Excel文件不存在: {excel_path}") + return + try: - # 读取Excel文件 - df = pd.read_excel(excel_path) - + # 读取Excel文件，添加更多异常处理 + try: + df = pd.read_excel(excel_path) + except FileNotFoundError: + self._show_infobar("error", "错误", f"找不到文件: {excel_path}") + logger.error(f"文件不存在: {excel_path}") + return + except PermissionError: + self._show_infobar("error", "错误", f"文件被占用，请关闭Excel文件后重试") + logger.error(f"文件被占用: {excel_path}") + return + except Exception as e: + self._show_infobar("error", "错误", f"读取Excel文件失败: {str(e)}") + logger.error(f"读取Excel失败: {e}") + return + + if df.empty: + self._show_infobar("warning", "警告", "Excel文件为空") + return + # 检查必需的列 required_columns = ['多多id', '序号', '话题', '定时发布', '间隔时间', '达人链接', '执行人', '情况'] missing_columns = [col for col in required_columns if col not in df.columns] - + if missing_columns: self._show_infobar( "warning", @@ -2245,35 +2357,49 @@ class MainWindow(QMainWindow): f"Excel缺少列: {', '.join(missing_columns)}" ) return - - # 转换为配置列表 + + # 转换为配置列表，添加异常处理 self.configs = [] - for _, row in df.iterrows(): - config = { - '多多id': str(row.get('多多id', '')), - '序号': str(row.get('序号', '')), - '话题': str(row.get('话题', '')), - '定时发布': str(row.get('定时发布', '')) if pd.notna(row.get('定时发布')) else '', - '间隔时间': int(row.get('间隔时间', 0)) if pd.notna(row.get('间隔时间')) else 0, - '达人链接': str(row.get('达人链接', '')), - '执行人': str(row.get('执行人', '')), - '情况': str(row.get('情况', '待执行')), - '文件路径': '' # 文件路径字段初始为空，通过更新数据按钮填充 - } - self.configs.append(config) - + for idx, row in df.iterrows(): + try: + config = { + '多多id': str(row.get('多多id', '')).strip() if pd.notna(row.get('多多id')) else '', + '序号': str(row.get('序号', '')).strip() if pd.notna(row.get('序号')) else '', + '话题': str(row.get('话题', '')).strip() if pd.notna(row.get('话题')) else '', + '定时发布': str(row.get('定时发布', '')).strip() if pd.notna(row.get('定时发布')) else '', + '间隔时间': int(row.get('间隔时间', 0)) if pd.notna(row.get('间隔时间')) else 0, + '达人链接': str(row.get('达人链接', '')).strip() if pd.notna(row.get('达人链接')) else '', + '执行人': str(row.get('执行人', '')).strip() if pd.notna(row.get('执行人')) else '', + '情况': str(row.get('情况', '待执行')).strip() if pd.notna(row.get('情况')) else '待执行', + '文件路径': '' # 文件路径字段初始为空，通过更新数据按钮填充 + } + self.configs.append(config) + except Exception as e: + logger.warning(f"处理第 {idx + 1} 行数据时出错: {e}") + continue # 跳过有问题的行 + + if not self.configs: + self._show_infobar("warning", "警告", "未能解析出任何有效配置") + return + # 更新表格显示 - self.update_table() - + try: + self.update_table() + except Exception as e: + self._show_infobar("error", "错误", f"更新表格失败: {str(e)}") + logger.error(f"更新表格失败: {e}") + return + # 显示表格 self.table_group.setVisible(True) self.set_status_cards(update_text="未更新", pending=len(self.configs)) - + self._show_infobar("success", "成功", f"成功导入 {len(self.configs)} 条配置") - + except Exception as e: - self._show_infobar("error", "错误", f"导入Excel文件失败: {str(e)}") - logger.error(f"导入Excel失败: {e}") + error_msg = f"导入Excel文件失败: {str(e)}" + self._show_infobar("error", "错误", error_msg) + logger.error(f"导入Excel失败: {e}", exc_info=True) def update_table(self): """更新配置表格""" @@ -2289,7 +2415,8 @@ class MainWindow(QMainWindow): if hasattr(self, "config_table"): self.config_table.setVisible(True) if hasattr(self, "page_first_btn"): - for btn in [self.page_first_btn, self.page_prev_btn, self.page_next_btn, self.page_last_btn, self.page_size_combo]: + for btn in [self.page_first_btn, self.page_prev_btn, self.page_next_btn, self.page_last_btn, + self.page_size_combo]: btn.setEnabled(True) if hasattr(self, "table_select_all"): self.table_select_all.setEnabled(True) @@ -2316,7 +2443,7 @@ class MainWindow(QMainWindow): self.config_table.setItem(table_row, 8, QTableWidgetItem(str(file_path))) self._set_progress_item(table_row, str(config.get('情况', '待执行'))) self._set_action_buttons(table_row, config_index) - + # 固定列宽（不随内容自适应） self._apply_table_column_widths() # 未更新前，用配置行数作为待执行提示 @@ -2334,7 +2461,8 @@ class MainWindow(QMainWindow): def _setup_model_view(self): """切换到大数据量 Model/View 模式""" - headers = ['多多ID', '序号', '话题', '定时发布', '间隔时间', '达人链接', '执行人', '情况', '文件路径', '进度', '操作'] + headers = ['多多ID', '序号', '话题', '定时发布', '间隔时间', '达人链接', '执行人', '情况', '文件路径', '进度', + '操作'] if self.table_model is None: self.table_model = ConfigTableModel(self.configs, headers, self) self.table_proxy = QSortFilterProxyModel(self) @@ -2343,7 +2471,8 @@ class MainWindow(QMainWindow): self.table_view.setModel(self.table_proxy) if self.table_view.selectionModel(): self.table_view.selectionModel().selectionChanged.connect(self.update_table_selection_count) - self.table_delegate = TableActionDelegate(self.table_view, self._edit_row_from_view, self._delete_row_from_view) + self.table_delegate = TableActionDelegate(self.table_view, self._edit_row_from_view, + self._delete_row_from_view) self.table_view.setItemDelegate(self.table_delegate) header = self.table_view.horizontalHeader() header.setStretchLastSection(False) @@ -2355,7 +2484,8 @@ class MainWindow(QMainWindow): self.table_view.setVisible(True) self.config_table.setVisible(False) if hasattr(self, "page_first_btn"): - for btn in [self.page_first_btn, self.page_prev_btn, self.page_next_btn, self.page_last_btn, self.page_size_combo]: + for btn in [self.page_first_btn, self.page_prev_btn, self.page_next_btn, self.page_last_btn, + self.page_size_combo]: btn.setEnabled(False) if hasattr(self, "table_select_all"): self.table_select_all.setEnabled(False) @@ -2386,12 +2516,12 @@ class MainWindow(QMainWindow): """从表格中获取指定行的配置数据（使用表格中修改后的值）""" if row_index >= self.config_table.rowCount(): return None - + def get_cell_text(row, col): """安全获取单元格文本""" item = self.config_table.item(row, col) return item.text().strip() if item else '' - + def get_cell_int(row, col, default=0): """安全获取单元格整数""" item = self.config_table.item(row, col) @@ -2401,7 +2531,7 @@ class MainWindow(QMainWindow): except ValueError: return default return default - + config = { '多多id': get_cell_text(row_index, 0), '序号': get_cell_text(row_index, 1), @@ -2413,18 +2543,18 @@ class MainWindow(QMainWindow): '情况': get_cell_text(row_index, 7) or '待执行', '文件路径': get_cell_text(row_index, 8) # 第8列是文件路径 } - + return config def get_config(self): """获取当前配置数据""" schedule_time = self.schedule_datetime.dateTime().toString("yyyy-MM-dd HH:mm:ss") - + # 获取文件夹路径，如果为空则使用默认路径 folder_path = self.folder_path_input.text().strip() if not folder_path: folder_path = get_default_folder_path() - + return { '多多id': self.user_id_input.text(), '序号': self.index_input.text(), @@ -2435,7 +2565,7 @@ class MainWindow(QMainWindow): '文件夹路径': folder_path, '情况': '待执行' } - + def update_data(self): """更新数据：找出文件并保存到表格的文件路径列（更新所有行）""" try: @@ -2445,15 +2575,15 @@ class MainWindow(QMainWindow): folder_path = self.folder_path_input.text().strip() if not folder_path: folder_path = get_default_folder_path() - + if not os.path.exists(folder_path): self._show_infobar("warning", "警告", f"文件夹路径不存在: {folder_path}") return - + self.log_text.append("=" * 50) self.log_text.append("开始批量更新所有行的文件路径...") self.log_text.append(f"共有 {self.config_table.rowCount()} 行需要更新") - + # 遍历所有行，更新每行的文件路径 total_found = 0 for row_idx in range(self.config_table.rowCount()): @@ -2461,28 +2591,30 @@ class MainWindow(QMainWindow): if not config: self.log_text.append(f"第 {row_idx + 1} 行：无法获取配置数据，跳过") continue - + # 验证必填字段 if not config.get('多多id') or not config.get('序号'): self.log_text.append(f"第 {row_idx + 1} 行：多多ID或序号为空，跳过") continue - + self.log_text.append(f"正在更新第 {row_idx + 1} 行的文件路径...") self.log_text.append(f" 多多ID: {config.get('多多id')}, 序号: {config.get('序号')}") - + # 查找该行对应的文件 found_files = self._find_files_for_config(config, folder_path) - + if found_files: # 将找到的文件路径拼接成字符串（多个文件用分号分隔） file_paths_str = "; ".join([str(f['path']) for f in found_files]) self.config_table.setItem(row_idx, 8, QTableWidgetItem(file_paths_str)) - + # 同时更新self.configs中对应的配置 if row_idx < len(self.configs): self.configs[row_idx]['文件路径'] = file_paths_str - - video_count = sum(1 for f in found_files if f['path'].is_file() and any(f['path'].suffix.lower() in ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'] for ext in ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'])) + + video_count = sum(1 for f in found_files if f['path'].is_file() and any( + f['path'].suffix.lower() in ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'] for + ext in ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'])) self.log_text.append(f" ✓ 找到 {len(found_files)} 个文件（{video_count} 个视频）") total_found += len(found_files) else: @@ -2491,7 +2623,7 @@ class MainWindow(QMainWindow): if row_idx < len(self.configs): self.configs[row_idx]['文件路径'] = "" self.log_text.append(f" ✗ 未找到匹配的文件") - + self.log_text.append("=" * 50) self.log_text.append(f"批量更新完成！共更新 {self.config_table.rowCount()} 行，找到 {total_found} 个文件") self.update_status_label.setText(f"已更新: {self.config_table.rowCount()}行，{total_found}个文件") @@ -2504,41 +2636,44 @@ class MainWindow(QMainWindow): if config: configs_with_rows.append({"row_idx": row_idx, "config": config}) self._apply_schedule_intervals(configs_with_rows) - self._show_infobar("success", "成功", f"已更新文件路径：{self.config_table.rowCount()}行，{total_found}个文件") + self._show_infobar("success", "成功", + f"已更新文件路径：{self.config_table.rowCount()}行，{total_found}个文件") return else: # 没有表格，使用原来的逻辑（单个配置） config = self.get_config() current_row = -1 # 表示没有表格，使用prepared_files - + # 验证必填字段 if not config.get('多多id') or not config.get('序号'): self._show_infobar("warning", "警告", "请先填写多多ID和序号") return - + # 获取文件夹路径 folder_path = config.get('文件夹路径', '') - + if not folder_path: folder_path = get_default_folder_path() - + if not os.path.exists(folder_path): self._show_infobar("warning", "警告", f"文件夹路径不存在: {folder_path}") return - + self.log_text.append("=" * 50) self.log_text.append("开始更新数据，查找文件...") - + # 在文件夹中查找文件 found_files = self._find_files_for_config(config, folder_path) - + if found_files: self.prepared_files = found_files video_extensions = ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'] - video_count = sum(1 for f in found_files if f['path'].is_file() and any(f['path'].suffix.lower() == ext for ext in video_extensions)) + video_count = sum(1 for f in found_files if f['path'].is_file() and any( + f['path'].suffix.lower() == ext for ext in video_extensions)) folder_count = len(found_files) - video_count - - self.log_text.append(f"更新完成！找到 {len(found_files)} 个文件/文件夹（{video_count} 个视频，{folder_count} 个文件夹）") + + self.log_text.append( + f"更新完成！找到 {len(found_files)} 个文件/文件夹（{video_count} 个视频，{folder_count} 个文件夹）") self.update_status_label.setText(f"已更新: {len(found_files)}个文件") self.update_status_label.setStyleSheet("color: #4CAF50; font-size: 10px;") self.set_status_cards(update_text=f"已更新: {len(found_files)}个文件", pending=len(found_files)) @@ -2550,7 +2685,7 @@ class MainWindow(QMainWindow): self.update_status_label.setStyleSheet("color: #f44336; font-size: 10px;") self.set_status_cards(update_text="未找到文件", pending=0) self._show_infobar("warning", "警告", "未找到匹配的文件") - + except Exception as e: error_msg = f"更新数据失败: {str(e)}" self.log_text.append(error_msg) @@ -2558,62 +2693,115 @@ class MainWindow(QMainWindow): logger.error(f"更新数据失败: {e}") import traceback traceback.print_exc() - + def _find_files_for_config(self, config, folder_path): """根据配置查找文件（辅助方法）""" found_files = [] - index = config.get('序号', '') - video_extensions = ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'] + # 参数验证 + if not config: + logger.warning("配置为空，无法查找文件") + return found_files + + if not folder_path or not os.path.exists(folder_path): + logger.warning(f"文件夹路径无效或不存在: {folder_path}") + return found_files + + index = str(config.get('序号', '')).strip() + if not index: + logger.warning("序号为空，无法查找文件") + return found_files + + video_extensions = ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'] + try: + # 检查文件夹是否可读 + if not os.access(folder_path, os.R_OK): + logger.error(f"没有权限读取文件夹: {folder_path}") + return found_files + # 遍历最外层文件夹下的所有子文件夹 - subdirs = [f for f in os.listdir(folder_path) if os.path.isdir(os.path.join(folder_path, f))] - + try: + subdirs = [f for f in os.listdir(folder_path) + if os.path.isdir(os.path.join(folder_path, f))] + except PermissionError: + logger.error(f"没有权限访问文件夹: {folder_path}") + return found_files + except Exception as e: + logger.error(f"读取文件夹失败: {e}") + return found_files + # 找到匹配当前多多ID的文件夹 target_subdir = None - for subdir_name in subdirs: - if subdir_name == str(config.get('多多id')): - target_subdir = os.path.join(folder_path, subdir_name) - break - - if not target_subdir: + user_id = str(config.get('多多id', '')).strip() + if not user_id: + logger.warning("多多ID为空，无法查找文件") return found_files + for subdir_name in subdirs: + if subdir_name == user_id: + target_subdir = os.path.join(folder_path, subdir_name) + break + + if not target_subdir or not os.path.exists(target_subdir): + return found_files + # 扫描该文件夹下的文件 - items = os.listdir(target_subdir) - + try: + items = os.listdir(target_subdir) + except PermissionError: + logger.error(f"没有权限访问子文件夹: {target_subdir}") + return found_files + except Exception as e: + logger.error(f"读取子文件夹失败: {e}") + return found_files + for item_name in items: - item_path = os.path.join(target_subdir, item_name) - name_parts = item_name.split("-") - - # 检查序号是否匹配 - if len(name_parts) > 0 and name_parts[0] == str(index): - path_obj = Path(item_path) + try: + item_path = os.path.join(target_subdir, item_name) - if path_obj.is_file(): - # 检查是否为视频文件 - if any(path_obj.suffix.lower() == ext for ext in video_extensions): + # 跳过隐藏文件/文件夹 + if item_name.startswith('.'): + continue + + name_parts = item_name.split("-") + + # 检查序号是否匹配 + if len(name_parts) > 0 and name_parts[0] == index: + path_obj = Path(item_path) + + # 确保路径存在 + if not path_obj.exists(): + continue + + if path_obj.is_file(): + # 检查是否为视频文件 + if any(path_obj.suffix.lower() == ext for ext in video_extensions): + found_files.append({ + "url": config.get('达人链接', ''), + "user_id": user_id, + "time_start": config.get('定时发布', '') if config.get('定时发布') else None, + "ht": config.get('话题', ''), + "index": index, + "path": path_obj + }) + elif path_obj.is_dir(): + # 如果是文件夹，可能是图片文件夹 found_files.append({ "url": config.get('达人链接', ''), - "user_id": config.get('多多id', ''), + "user_id": user_id, "time_start": config.get('定时发布', '') if config.get('定时发布') else None, "ht": config.get('话题', ''), - "index": str(index), + "index": index, "path": path_obj }) - else: - # 如果是文件夹，可能是图片文件夹 - found_files.append({ - "url": config.get('达人链接', ''), - "user_id": config.get('多多id', ''), - "time_start": config.get('定时发布', '') if config.get('定时发布') else None, - "ht": config.get('话题', ''), - "index": str(index), - "path": path_obj - }) + except Exception as e: + logger.warning(f"处理文件 {item_name} 时出错: {e}") + continue # 继续处理其他文件 + except Exception as e: - logger.error(f"查找文件失败: {e}") - + logger.error(f"查找文件失败: {e}", exc_info=True) + return found_files def execute_task(self): @@ -2625,31 +2813,32 @@ class MainWindow(QMainWindow): else: # 否则使用当前输入的配置 config = self.get_config() - + # 验证必填字段 if not config.get('多多id') or not config.get('序号'): self._show_infobar("warning", "警告", "请填写所有必填字段（多多ID、序号）") return - + folder_path = config.get('文件夹路径', '') if not folder_path: folder_path = get_default_folder_path() config['文件夹路径'] = folder_path - + if not os.path.exists(folder_path): self._show_infobar("warning", "警告", f"文件夹路径不存在: {folder_path}") return - + # 显示使用的文件夹路径 self.log_text.append(f"使用文件夹路径: {folder_path}") - + # 检查是否勾选了批量上传 is_batch_mode = self.batch_upload_checkbox.isChecked() - + # 如果已经更新了数据，根据预查找的文件判断是否为批量上传 if self.prepared_files: video_extensions = ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'] - video_files = [f for f in self.prepared_files if f['path'].is_file() and any(f['path'].suffix.lower() == ext for ext in video_extensions)] + video_files = [f for f in self.prepared_files if + f['path'].is_file() and any(f['path'].suffix.lower() == ext for ext in video_extensions)] if is_batch_mode and len(video_files) > 1: self.log_text.append(f"检测到 {len(video_files)} 个视频文件，使用批量上传模式...") elif is_batch_mode and len(video_files) <= 1: @@ -2657,22 +2846,46 @@ class MainWindow(QMainWindow): is_batch_mode = False elif not is_batch_mode: self.log_text.append(f"使用单个上传模式...") - + + # 检查是否有正在运行的线程 + if self.worker_thread and self.worker_thread.isRunning(): + self._show_infobar("warning", "警告", "已有任务正在执行，请等待完成") + return + # 禁用按钮 self.execute_btn.setEnabled(False) self.progress_bar.setVisible(True) self.progress_bar.setValue(0) - + + # 清理旧线程引用（如果存在） + if self.worker_thread: + try: + # 断开旧信号的连接 + self.worker_thread.finished.disconnect() + self.worker_thread.log_message.disconnect() + self.worker_thread.progress.disconnect() + except Exception: + pass # 如果信号未连接，忽略错误 + self.worker_thread = None + # 创建工作线程，传递预查找的文件列表 - self.worker_thread = WorkerThread(config, is_batch_mode, self.prepared_files, self) - # 连接finished信号，用于单个任务完成后显示弹窗 - self.worker_thread.finished.connect(self.on_task_finished) - self.worker_thread.log_message.connect(self.log_text.append) - self.worker_thread.progress.connect(self.progress_bar.setValue) - self.worker_thread.start() - self.set_status_cards(pending=1) - self.set_running_progress(0, 1) - + try: + self.worker_thread = WorkerThread(config, is_batch_mode, self.prepared_files, self) + # 连接finished信号，用于单个任务完成后显示弹窗 + self.worker_thread.finished.connect(self.on_task_finished) + self.worker_thread.log_message.connect(self.log_text.append) + self.worker_thread.progress.connect(self.progress_bar.setValue) + self.worker_thread.start() + self.set_status_cards(pending=1) + self.set_running_progress(0, 1) + except Exception as e: + error_msg = f"启动任务失败: {str(e)}" + self._show_infobar("error", "错误", error_msg) + self.log_text.append(error_msg) + logger.error(f"启动任务失败: {e}") + self.execute_btn.setEnabled(True) + self.progress_bar.setVisible(False) + self.log_text.append("=" * 50) mode_text = "批量上传" if is_batch_mode else "逐个上传" if self.prepared_files: @@ -2686,34 +2899,34 @@ class MainWindow(QMainWindow): folder_path = self.folder_path_input.text().strip() if not folder_path: folder_path = get_default_folder_path() - + if not os.path.exists(folder_path): self._show_infobar("warning", "警告", f"文件夹路径不存在: {folder_path}") return - + # 从表格中获取所有配置（使用用户修改后的值） if self.config_table.rowCount() == 0: self._show_infobar("warning", "警告", "配置列表为空，请先导入Excel配置") return - + self.log_text.append("=" * 50) self.log_text.append("开始分析配置，准备批量上传...") - + # 收集所有配置及其对应的文件 all_configs_with_files = [] configs_with_rows = [] video_extensions = ['.mp4', '.avi', '.mov', '.mkv', '.flv', '.wmv', '.webm'] - + for row_idx in range(self.config_table.rowCount()): config = self.get_config_from_table(row_idx) if not config: continue - + # 验证必填字段 if not config.get('多多id') or not config.get('序号'): self.log_text.append(f"第 {row_idx + 1} 行：多多ID或序号为空，跳过") continue - + # 添加文件夹路径 config['文件夹路径'] = folder_path configs_with_rows.append({"row_idx": row_idx, "config": config}) @@ -2724,7 +2937,7 @@ class MainWindow(QMainWindow): for item in configs_with_rows: row_idx = item["row_idx"] config = item["config"] - + # 从文件路径列读取文件路径 file_path_str = config.get('文件路径', '').strip() if file_path_str: @@ -2742,7 +2955,7 @@ class MainWindow(QMainWindow): "index": config.get('序号', ''), "path": path_obj }) - + if files: all_configs_with_files.append({ 'config': config, @@ -2761,7 +2974,7 @@ class MainWindow(QMainWindow): 'row_idx': row_idx }) self.log_text.append(f"第 {row_idx + 1} 行：找到 {len(found_files)} 个文件") - + if not all_configs_with_files: self._show_infobar("warning", "警告", "未找到任何文件，请先点击'更新数据'按钮") return @@ -2770,40 +2983,46 @@ class MainWindow(QMainWindow): pending_tasks = total_tasks self.set_status_cards(pending=pending_tasks) self.set_running_progress(0, total_tasks) - + # 按多多ID分组 from collections import defaultdict grouped_by_user_id = defaultdict(list) for item in all_configs_with_files: user_id = item['config'].get('多多id', '') grouped_by_user_id[user_id].append(item) - + self.log_text.append("=" * 50) self.log_text.append(f"按多多ID分组：共 {len(grouped_by_user_id)} 个不同的多多ID") + + # 检查是否有正在运行的线程 + if self.worker_thread and self.worker_thread.isRunning(): + self._show_infobar("warning", "警告", "已有任务正在执行，请等待完成") + return # 禁用按钮 self.execute_btn.setEnabled(False) self.progress_bar.setVisible(True) self.progress_bar.setValue(0) self.set_status_cards(running=1) - + # 处理每个多多ID组 total_processed = 0 for user_id, items in grouped_by_user_id.items(): self.log_text.append(f"\n处理多多ID: {user_id}，共 {len(items)} 个配置") - + # 收集该多多ID下的所有文件 all_files = [] for item in items: all_files.extend(item['files']) - + # 分离视频文件和图片文件夹 - video_files = [f for f in all_files if f['path'].is_file() and any(f['path'].suffix.lower() == ext for ext in video_extensions)] + video_files = [f for f in all_files if + f['path'].is_file() and any(f['path'].suffix.lower() == ext for ext in video_extensions)] image_folders = [f for f in all_files if f['path'].is_dir()] - + self.log_text.append(f" 视频文件: {len(video_files)} 个") self.log_text.append(f" 图片文件夹: {len(image_folders)} 个") - + # 使用第一个配置创建Pdd实例（因为同一个多多ID，配置应该相同） first_config = items[0]['config'] pdd = Pdd( @@ -2814,7 +3033,7 @@ class MainWindow(QMainWindow): index=first_config.get('序号', ''), title=first_config.get('标题', None) ) - + # 第一步：如果有多个视频文件（>1），批量上传所有视频 if len(video_files) > 1: # 检查是否都是mp4文件 @@ -2823,36 +3042,73 @@ class MainWindow(QMainWindow): self.log_text.append(f" ✓ 检测到 {len(video_files)} 个mp4文件，批量上传所有视频（action1方法）") else: self.log_text.append(f" ✓ 检测到 {len(video_files)} 个视频文件，批量上传所有视频（action1方法）") - + # 批量上传所有视频 - self.worker_thread = WorkerThread(first_config, True, video_files, self) - # 不连接finished信号，避免每个任务完成就弹窗 - self.worker_thread.log_message.connect(self.log_text.append) - self.worker_thread.progress.connect(self.progress_bar.setValue) - self.worker_thread.start() - - # 等待完成 - self.worker_thread.wait() - total_processed += len(video_files) - pending_tasks = max(pending_tasks - len(video_files), 0) - self.set_status_cards(pending=pending_tasks) - self.set_running_progress(total_processed, total_tasks) - self.log_text.append(f" ✓ 批量上传 {len(video_files)} 个视频完成") + try: + # 清理旧线程（如果存在） + if self.worker_thread: + try: + self.worker_thread.log_message.disconnect() + self.worker_thread.progress.disconnect() + except Exception: + pass + + self.worker_thread = WorkerThread(first_config, True, video_files, self) + # 不连接finished信号，避免每个任务完成就弹窗 + self.worker_thread.log_message.connect(self.log_text.append) + self.worker_thread.progress.connect(self.progress_bar.setValue) + self.worker_thread.start() + + # 等待完成，使用超时避免无限阻塞 + if not self.worker_thread.wait(300000): # 最多等待5分钟 + logger.warning("批量上传视频任务超时") + self.log_text.append(" ⚠ 批量上传视频任务超时") + else: + self.log_text.append(f" ✓ 批量上传 {len(video_files)} 个视频完成") + + total_processed += len(video_files) + pending_tasks = max(pending_tasks - len(video_files), 0) + self.set_status_cards(pending=pending_tasks) + self.set_running_progress(total_processed, total_tasks) + except Exception as e: + error_msg = f"批量上传视频失败: {str(e)}" + self.log_text.append(f" ✗ {error_msg}") + logger.error(error_msg, exc_info=True) + total_processed += len(video_files) # 即使失败也计入处理数，避免卡住 + pending_tasks = max(pending_tasks - len(video_files), 0) + self.set_status_cards(pending=pending_tasks) + self.set_running_progress(total_processed, total_tasks) elif len(video_files) == 1: # 只有1个视频，单个上传 self.log_text.append(f" → 只有1个视频文件，单个上传") - self.worker_thread = WorkerThread(first_config, False, video_files, self) - # 不连接finished信号，避免每个任务完成就弹窗 - self.worker_thread.log_message.connect(self.log_text.append) - self.worker_thread.progress.connect(self.progress_bar.setValue) - self.worker_thread.start() - self.worker_thread.wait() + try: + # 清理旧线程（如果存在） + if self.worker_thread: + try: + self.worker_thread.log_message.disconnect() + self.worker_thread.progress.disconnect() + except Exception: + pass + + self.worker_thread = WorkerThread(first_config, False, video_files, self) + # 不连接finished信号，避免每个任务完成就弹窗 + self.worker_thread.log_message.connect(self.log_text.append) + self.worker_thread.progress.connect(self.progress_bar.setValue) + self.worker_thread.start() + # 使用超时等待，避免无限阻塞 + if not self.worker_thread.wait(300000): # 最多等待5分钟 + logger.warning("单个上传视频任务超时") + except Exception as e: + error_msg = f"单个上传视频失败: {str(e)}" + self.log_text.append(error_msg) + logger.error(error_msg, exc_info=True) + continue # 继续处理下一个多多ID组 total_processed += len(video_files) pending_tasks = max(pending_tasks - len(video_files), 0) self.set_status_cards(pending=pending_tasks) self.set_running_progress(total_processed, total_tasks) self.log_text.append(f" ✓ 单个视频上传完成") - + # 第二步：如果有图片文件夹，逐个上传图片 if image_folders: self.log_text.append(f" → 开始逐个上传 {len(image_folders)} 个图片文件夹") @@ -2864,13 +3120,13 @@ class MainWindow(QMainWindow): if item['config'].get('序号', '') == folder_index: matching_config = item['config'] break - + # 如果找不到匹配的配置，使用第一个配置 if not matching_config: matching_config = first_config - + self.log_text.append(f" 上传第 {idx}/{len(image_folders)} 个图片文件夹（序号: {folder_index}）") - + pdd_img = Pdd( url=matching_config.get('达人链接', ''), user_id=user_id, @@ -2879,19 +3135,38 @@ class MainWindow(QMainWindow): index=folder_index, title=matching_config.get('标题', None) ) - - self.worker_thread = WorkerThread(matching_config, False, [img_folder], self) - # 不连接finished信号，避免每个任务完成就弹窗 - self.worker_thread.log_message.connect(self.log_text.append) - self.worker_thread.progress.connect(self.progress_bar.setValue) - self.worker_thread.start() - self.worker_thread.wait() + + try: + # 清理旧线程（如果存在） + if self.worker_thread: + try: + self.worker_thread.log_message.disconnect() + self.worker_thread.progress.disconnect() + except Exception: + pass + + self.worker_thread = WorkerThread(matching_config, False, [img_folder], self) + # 不连接finished信号，避免每个任务完成就弹窗 + self.worker_thread.log_message.connect(self.log_text.append) + self.worker_thread.progress.connect(self.progress_bar.setValue) + self.worker_thread.start() + # 使用超时等待，避免无限阻塞 + if not self.worker_thread.wait(300000): # 最多等待5分钟 + logger.warning(f"上传图片文件夹任务超时: {img_folder}") + total_processed += 1 + continue + except Exception as e: + error_msg = f"上传图片文件夹失败: {str(e)}" + self.log_text.append(error_msg) + logger.error(error_msg, exc_info=True) + total_processed += 1 + continue # 继续处理下一个图片文件夹 total_processed += 1 pending_tasks = max(pending_tasks - 1, 0) self.set_status_cards(pending=pending_tasks) self.set_running_progress(total_processed, total_tasks) self.log_text.append(f" ✓ 图片文件夹 {idx} 上传完成") - + self.log_text.append(f" ✓ 所有图片文件夹上传完成") self.progress_bar.setValue(100) @@ -2900,7 +3175,7 @@ class MainWindow(QMainWindow): self.execute_btn.setEnabled(True) self.set_running_progress(0, 0) self.set_status_cards(pending=0) - + # 所有任务完成后，显示完成弹窗 self._show_infobar("success", "任务完成", f"共处理 {total_processed} 个文件/文件夹") @@ -2914,7 +3189,7 @@ class MainWindow(QMainWindow): # 检查是否为目录，跳过文件（如.lnk快捷方式） if not os.path.isdir(file_path): continue - + files = os.listdir(file_path) # 获取用户id下的文件 for file_name in files: # 检查是否是视频文件（.mp4） @@ -2935,7 +3210,7 @@ class MainWindow(QMainWindow): count += 1 except Exception as e: logger.error(f"统计视频文件失败: {e}") - + return count def on_task_finished(self, success, message): @@ -2943,29 +3218,52 @@ class MainWindow(QMainWindow): self.progress_bar.setValue(100) self.set_running_progress(0, 0) self.set_status_cards(pending=0) - + if success: self._show_infobar("success", "成功", message) else: self._show_infobar("error", "失败", message) - + # 恢复按钮 self.execute_btn.setEnabled(True) - + self.log_text.append(f"任务完成: {message}") self.log_text.append("=" * 50) def closeEvent(self, event): """关闭事件""" + if self._is_closing: + event.accept() + return + if self.worker_thread and self.worker_thread.isRunning(): reply = QMessageBox.question( self, "确认", "任务正在执行中，确定要退出吗？", QMessageBox.Yes | QMessageBox.No ) if reply == QMessageBox.Yes: - if self.worker_thread: - self.worker_thread.stop() - self.worker_thread.wait() + self._is_closing = True + try: + if self.worker_thread: + # 停止线程 + self.worker_thread.stop() + # 等待线程结束，设置超时避免无限等待 + if not self.worker_thread.wait(3000): # 等待3秒 + logger.warning("线程未能及时停止，强制终止") + self.worker_thread.terminate() + self.worker_thread.wait(1000) # 再等待1秒 + + # 断开信号连接 + try: + self.worker_thread.finished.disconnect() + self.worker_thread.log_message.disconnect() + self.worker_thread.progress.disconnect() + except Exception: + pass + + self.worker_thread = None + except Exception as e: + logger.error(f"关闭线程时出错: {e}") event.accept() else: event.ignore() @@ -2983,4 +3281,4 @@ def main(): if __name__ == '__main__': main() -# docker run honeygain/honeygain -tou-accept -email ddrwode1@gmail.com -pass 040828cjj -device DEVICE_NAME \ No newline at end of file +# docker run honeygain/honeygain -tou-accept -email ddrwode1@gmail.com -pass 040828cjj -device DEVICE_NAME diff --git a/user/user_data/BrowserMetrics/BrowserMetrics-696F27F1-4EC.pma b/user/user_data/BrowserMetrics/BrowserMetrics-696F27F1-4EC.pma deleted file mode 100644 index 05b50d3..0000000 Binary files a/user/user_data/BrowserMetrics/BrowserMetrics-696F27F1-4EC.pma and /dev/null differ diff --git a/user/user_data/CrashpadMetrics-active.pma b/user/user_data/CrashpadMetrics-active.pma index 7c1abb0..abce828 100644 Binary files a/user/user_data/CrashpadMetrics-active.pma and b/user/user_data/CrashpadMetrics-active.pma differ diff --git a/user/user_data/Default/Download Service/EntryDB/LOG.old b/user/user_data/Default/9147cc33-0543-46e6-b709-0f6bd960ab67.tmp similarity index 100% rename from user/user_data/Default/Download Service/EntryDB/LOG.old rename to user/user_data/Default/9147cc33-0543-46e6-b709-0f6bd960ab67.tmp diff --git a/user/user_data/Default/BrowsingTopicsState b/user/user_data/Default/BrowsingTopicsState index 7926d42..5070087 100644 --- a/user/user_data/Default/BrowsingTopicsState +++ b/user/user_data/Default/BrowsingTopicsState @@ -8,5 +8,5 @@ "top_topics_and_observing_domains": [ ] } ], "hex_encoded_hmac_key": "434BF7DBD7DA573B45E0A11AD9045A61B6221D14AE2F9A341E2FEF659AF071F6", - "next_scheduled_calculation_time": "13413450070590402" + "next_scheduled_calculation_time": "13413450070590413" } diff --git a/user/user_data/Default/Cache/Cache_Data/data_0 b/user/user_data/Default/Cache/Cache_Data/data_0 index d1271a4..05bf82a 100644 Binary files a/user/user_data/Default/Cache/Cache_Data/data_0 and b/user/user_data/Default/Cache/Cache_Data/data_0 differ diff --git a/user/user_data/Default/Cache/Cache_Data/data_1 b/user/user_data/Default/Cache/Cache_Data/data_1 index 2913680..df00aad 100644 Binary files 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-2026/01/20-11:02:58.566 c88 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension Rules/MANIFEST-000001 -2026/01/20-11:02:58.567 c88 Recovering log #3 -2026/01/20-11:02:58.568 c88 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/LOG b/user/user_data/Default/Extension Scripts/LOG index cb0fb3f..e69de29 100644 --- a/user/user_data/Default/Extension Scripts/LOG +++ b/user/user_data/Default/Extension Scripts/LOG @@ -1,3 +0,0 @@ -2026/01/20-11:02:58.581 c88 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension Scripts/MANIFEST-000001 -2026/01/20-11:02:58.582 c88 Recovering log #3 -2026/01/20-11:02:58.583 c88 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 State/LOG b/user/user_data/Default/Extension State/LOG index b05f36a..e69de29 100644 --- a/user/user_data/Default/Extension State/LOG +++ b/user/user_data/Default/Extension State/LOG @@ -1,3 +0,0 @@ -2026/01/20-15:00:02.034 2974 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension State/MANIFEST-000001 -2026/01/20-15:00:02.035 2974 Recovering log #3 -2026/01/20-15:00:02.035 2974 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 bff11ac..e69de29 100644 --- a/user/user_data/Default/Extension State/LOG.old +++ b/user/user_data/Default/Extension State/LOG.old @@ -1,3 +0,0 @@ -2026/01/20-13:46:23.475 4ac8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Extension State/MANIFEST-000001 -2026/01/20-13:46:23.476 4ac8 Recovering log #3 -2026/01/20-13:46:23.477 4ac8 Reusing old log 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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_0/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_0/manifest.json diff --git a/user/user_data/Default/Favicons b/user/user_data/Default/Favicons index 69a1fda..0a1184e 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 029965e..314b01d 100644 --- a/user/user_data/Default/File System/Origins/LOG +++ b/user/user_data/Default/File System/Origins/LOG @@ -1,3 +1,3 @@ -2026/01/20-15:00:02.654 d04 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\File System\Origins/MANIFEST-000001 -2026/01/20-15:00:02.654 d04 Recovering log #6 -2026/01/20-15:00:02.655 d04 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\File System\Origins/000006.log +2026/01/20-21:39:56.245 15a4 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\File System\Origins/MANIFEST-000001 +2026/01/20-21:39:56.245 15a4 Recovering log #6 +2026/01/20-21:39:56.246 15a4 Reusing old log C:\Users\27942\Desktop\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 532284d..029965e 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 @@ -2026/01/20-13:46:24.016 4ac8 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\File System\Origins/MANIFEST-000001 -2026/01/20-13:46:24.016 4ac8 Recovering log #6 -2026/01/20-13:46:24.017 4ac8 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\File System\Origins/000006.log +2026/01/20-15:00:02.654 d04 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\File System\Origins/MANIFEST-000001 +2026/01/20-15:00:02.654 d04 Recovering log #6 +2026/01/20-15:00:02.655 d04 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 68649c2..9ec49eb 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 542daf0..e69de29 100644 --- a/user/user_data/Default/GCM Store/Encryption/LOG +++ b/user/user_data/Default/GCM Store/Encryption/LOG @@ -1,3 +0,0 @@ -2026/01/20-15:00:08.336 880c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store\Encryption/MANIFEST-000001 -2026/01/20-15:00:08.337 880c Recovering log #3 -2026/01/20-15:00:08.337 880c 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 983a184..542daf0 100644 --- a/user/user_data/Default/GCM Store/Encryption/LOG.old +++ b/user/user_data/Default/GCM Store/Encryption/LOG.old @@ -1,3 +1,3 @@ -2026/01/20-13:46:29.475 2adc Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store\Encryption/MANIFEST-000001 -2026/01/20-13:46:29.476 2adc Recovering log #3 -2026/01/20-13:46:29.476 2adc Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store\Encryption/000003.log +2026/01/20-15:00:08.336 880c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store\Encryption/MANIFEST-000001 +2026/01/20-15:00:08.337 880c Recovering log #3 +2026/01/20-15:00:08.337 880c 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 6fa679f..70c9b75 100644 --- a/user/user_data/Default/GCM Store/LOG +++ b/user/user_data/Default/GCM Store/LOG @@ -1,3 +1,2 @@ -2026/01/20-15:00:08.249 880c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store/MANIFEST-000001 -2026/01/20-15:00:08.250 880c Recovering log #3 -2026/01/20-15:00:08.250 880c Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store/000003.log +2026/01/20-21:40:00.103 73e0 Creating DB C:\Users\27942\Desktop\haha\user\user_data\Default\GCM Store since it was missing. +2026/01/20-21:40:00.139 73e0 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\GCM Store/MANIFEST-000001 diff --git a/user/user_data/Default/GCM Store/LOG.old b/user/user_data/Default/GCM Store/LOG.old deleted file mode 100644 index 56bbf6a..0000000 --- a/user/user_data/Default/GCM Store/LOG.old +++ /dev/null @@ -1,3 +0,0 @@ -2026/01/20-13:46:29.403 2adc Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\GCM Store/MANIFEST-000001 -2026/01/20-13:46:29.404 2adc Recovering log #3 -2026/01/20-13:46:29.404 2adc 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 775b739..43f4f54 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 0795b94..af7aad3 100644 Binary files a/user/user_data/Default/History and b/user/user_data/Default/History differ diff --git a/user/user_data/Default/History-journal b/user/user_data/Default/History-journal index e69de29..befca42 100644 Binary files a/user/user_data/Default/History-journal and b/user/user_data/Default/History-journal 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 f59c942..e69de29 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 @@ -1,3 +0,0 @@ -2026/01/20-15:00:14.224 1b20 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\IndexedDB\https_mcn.pinduoduo.com_0.indexeddb.leveldb/MANIFEST-000001 -2026/01/20-15:00:14.225 1b20 Recovering log #15 -2026/01/20-15:00:14.228 1b20 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\IndexedDB\https_mcn.pinduoduo.com_0.indexeddb.leveldb/000015.log 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 3106e74..e69de29 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 @@ -1,3 +0,0 @@ -2026/01/20-15:00:11.696 2974 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\IndexedDB\https_mcn.pinduoduo.com_0.indexeddb.leveldb/MANIFEST-000001 -2026/01/20-15:00:11.697 2974 Recovering log #15 -2026/01/20-15:00:11.698 2974 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\IndexedDB\https_mcn.pinduoduo.com_0.indexeddb.leveldb/000015.log diff --git a/user/user_data/Default/JumpListIconsRecentClosed/fea83c96-22b0-4fb0-8953-827874fa4881.tmp b/user/user_data/Default/JumpListIconsRecentClosed/e0d0e17e-0b35-408e-8c31-938f95e7cf6e.tmp similarity index 100% rename from user/user_data/Default/JumpListIconsRecentClosed/fea83c96-22b0-4fb0-8953-827874fa4881.tmp rename to user/user_data/Default/JumpListIconsRecentClosed/e0d0e17e-0b35-408e-8c31-938f95e7cf6e.tmp diff --git a/user/user_data/Default/LOG.old b/user/user_data/Default/LOG.old deleted file mode 100644 index e69de29..0000000 diff --git a/user/user_data/Default/Local Storage/leveldb/000007.log b/user/user_data/Default/Local Storage/leveldb/000007.log index 3969a30..dbd93bc 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 a5c76ed..21f8fd0 100644 --- 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--git a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/92661745a7a34a41_0 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/3658c724dfb5d9d0_0 similarity index 97% rename from user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/92661745a7a34a41_0 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/3658c724dfb5d9d0_0 index 2cac4cb..322e57e 100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/92661745a7a34a41_0 and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/3658c724dfb5d9d0_0 differ diff --git a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/92661745a7a34a41_1 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/3658c724dfb5d9d0_1 similarity index 89% rename from user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/92661745a7a34a41_1 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/3658c724dfb5d9d0_1 index 7d5ed21..5e6615d 100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/92661745a7a34a41_1 and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/3658c724dfb5d9d0_1 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files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/754013e5378e27bc_0 and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/4c2e0fcce761a015_0 differ diff --git a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/754013e5378e27bc_1 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/4c2e0fcce761a015_1 similarity index 85% rename from user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/754013e5378e27bc_1 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/4c2e0fcce761a015_1 index 6726572..29fbcfb 100644 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100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/fc8ce68ed31e6332_0 and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/4f1b2add8b2e1008_0 differ diff --git a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/fc8ce68ed31e6332_1 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/4f1b2add8b2e1008_1 similarity index 81% rename from user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/fc8ce68ed31e6332_1 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/4f1b2add8b2e1008_1 index 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a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/8a790b2d9e8014b2_0 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/55c012eedc308ddb_0 similarity index 94% rename from user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/8a790b2d9e8014b2_0 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/55c012eedc308ddb_0 index d339bbb..721454a 100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/8a790b2d9e8014b2_0 and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/55c012eedc308ddb_0 differ diff --git a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/8a790b2d9e8014b2_1 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/55c012eedc308ddb_1 similarity index 86% rename from user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/8a790b2d9e8014b2_1 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/55c012eedc308ddb_1 index 6487bc7..ad06fda 100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/8a790b2d9e8014b2_1 and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/55c012eedc308ddb_1 differ diff --git a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/bcd8bdb801f01a39_0 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/56958f41f00705c2_0 similarity index 94% rename from user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/bcd8bdb801f01a39_0 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/56958f41f00705c2_0 index 425bd32..f8401bc 100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/bcd8bdb801f01a39_0 and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/56958f41f00705c2_0 differ diff --git a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/bcd8bdb801f01a39_1 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/56958f41f00705c2_1 similarity index 84% rename from user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/bcd8bdb801f01a39_1 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/56958f41f00705c2_1 index fce49ba..5a61211 100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/bcd8bdb801f01a39_1 and b/user/user_data/Default/Service 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Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/94d432b7617cac97_0 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/9116020bf77ebd51_0 index de64c40..9310570 100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/94d432b7617cac97_0 and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/9116020bf77ebd51_0 differ diff --git a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/94d432b7617cac97_1 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/9116020bf77ebd51_1 similarity index 83% rename from 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from user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/85807f0c31cf0a4b_0 rename to user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/9ec8e15a5d013bd3_0 index d20976a..dee63b4 100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/85807f0c31cf0a4b_0 and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/9ec8e15a5d013bd3_0 differ diff --git a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/9ec8e15a5d013bd3_1 b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/80f34c7e-30be-44fa-bc19-123b3b28bc6a/9ec8e15a5d013bd3_1 new file mode 100644 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Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/index.txt index 2b040c1..4518443 100644 Binary files a/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/index.txt and b/user/user_data/Default/Service Worker/CacheStorage/987935aee542b816248034eca833fe60a4d902b0/index.txt differ diff --git a/user/user_data/Default/Service Worker/Database/000003.log b/user/user_data/Default/Service Worker/Database/000003.log index 777c5f2..fd2df46 100644 Binary files a/user/user_data/Default/Service Worker/Database/000003.log and b/user/user_data/Default/Service Worker/Database/000003.log differ diff --git a/user/user_data/Default/Service Worker/Database/LOG b/user/user_data/Default/Service Worker/Database/LOG index db021d0..9999cd7 100644 --- a/user/user_data/Default/Service Worker/Database/LOG +++ b/user/user_data/Default/Service Worker/Database/LOG @@ -1,3 +1,3 @@ -2026/01/20-15:00:01.795 6014 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Service Worker\Database/MANIFEST-000001 -2026/01/20-15:00:01.796 6014 Recovering log #3 -2026/01/20-15:00:01.797 6014 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Service Worker\Database/000003.log +2026/01/20-21:39:55.239 7790 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Service Worker\Database/MANIFEST-000001 +2026/01/20-21:39:55.239 7790 Recovering log #3 +2026/01/20-21:39:55.241 7790 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Service Worker\Database/000003.log diff --git a/user/user_data/Default/Service Worker/Database/LOG.old b/user/user_data/Default/Service Worker/Database/LOG.old index 335673d..db021d0 100644 --- a/user/user_data/Default/Service Worker/Database/LOG.old +++ b/user/user_data/Default/Service Worker/Database/LOG.old @@ -1,3 +1,3 @@ -2026/01/20-13:46:47.829 8278 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Service Worker\Database/MANIFEST-000001 -2026/01/20-13:46:47.837 8278 Recovering log #3 -2026/01/20-13:46:47.839 8278 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Service Worker\Database/000003.log +2026/01/20-15:00:01.795 6014 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Service Worker\Database/MANIFEST-000001 +2026/01/20-15:00:01.796 6014 Recovering log #3 +2026/01/20-15:00:01.797 6014 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Service Worker\Database/000003.log diff --git a/user/user_data/Default/Service Worker/ScriptCache/0ae129c33e7a30bd_0 b/user/user_data/Default/Service Worker/ScriptCache/6c038e3570d6abf1_0 similarity index 96% rename from user/user_data/Default/Service Worker/ScriptCache/0ae129c33e7a30bd_0 rename to user/user_data/Default/Service Worker/ScriptCache/6c038e3570d6abf1_0 index cc99a59..aa4dacf 100644 Binary files a/user/user_data/Default/Service Worker/ScriptCache/0ae129c33e7a30bd_0 and b/user/user_data/Default/Service Worker/ScriptCache/6c038e3570d6abf1_0 differ diff --git a/user/user_data/Default/Service Worker/ScriptCache/0ae129c33e7a30bd_1 b/user/user_data/Default/Service Worker/ScriptCache/6c038e3570d6abf1_1 similarity index 93% rename from user/user_data/Default/Service Worker/ScriptCache/0ae129c33e7a30bd_1 rename to user/user_data/Default/Service Worker/ScriptCache/6c038e3570d6abf1_1 index fcf468a..b6a94e8 100644 Binary files a/user/user_data/Default/Service Worker/ScriptCache/0ae129c33e7a30bd_1 and b/user/user_data/Default/Service Worker/ScriptCache/6c038e3570d6abf1_1 differ diff --git a/user/user_data/Default/Service Worker/ScriptCache/index-dir/the-real-index b/user/user_data/Default/Service Worker/ScriptCache/index-dir/the-real-index index 804e1f7..eb56748 100644 Binary files a/user/user_data/Default/Service Worker/ScriptCache/index-dir/the-real-index and b/user/user_data/Default/Service Worker/ScriptCache/index-dir/the-real-index differ diff --git a/user/user_data/Default/Session Storage/000049.log b/user/user_data/Default/Session Storage/000049.log index aa6ac33..593ed64 100644 Binary files a/user/user_data/Default/Session Storage/000049.log and b/user/user_data/Default/Session Storage/000049.log differ diff --git a/user/user_data/Default/Session Storage/LOG b/user/user_data/Default/Session Storage/LOG index d38604a..9d9cf90 100644 --- a/user/user_data/Default/Session Storage/LOG +++ b/user/user_data/Default/Session Storage/LOG @@ -1,6 +1,3 @@ -2026/01/20-15:00:01.972 288c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/MANIFEST-000001 -2026/01/20-15:00:01.974 288c Recovering log #46 -2026/01/20-15:00:01.982 288c Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/000046.log -2026/01/20-15:00:14.123 18e0 Level-0 table #50: started -2026/01/20-15:00:14.128 18e0 Level-0 table #50: 12346 bytes OK -2026/01/20-15:00:14.130 18e0 Delete type=0 #46 +2026/01/20-21:39:55.378 4a9c Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Session Storage/MANIFEST-000001 +2026/01/20-21:39:55.379 4a9c Recovering log #49 +2026/01/20-21:39:55.384 4a9c Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Session Storage/000049.log diff --git a/user/user_data/Default/Session Storage/LOG.old b/user/user_data/Default/Session Storage/LOG.old index 2e4b7b4..d38604a 100644 --- a/user/user_data/Default/Session Storage/LOG.old +++ b/user/user_data/Default/Session Storage/LOG.old @@ -1,3 +1,6 @@ -2026/01/20-13:46:23.407 674 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/MANIFEST-000001 -2026/01/20-13:46:23.409 674 Recovering log #46 -2026/01/20-13:46:23.417 674 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/000046.log +2026/01/20-15:00:01.972 288c Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/MANIFEST-000001 +2026/01/20-15:00:01.974 288c Recovering log #46 +2026/01/20-15:00:01.982 288c Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Session Storage/000046.log +2026/01/20-15:00:14.123 18e0 Level-0 table #50: started +2026/01/20-15:00:14.128 18e0 Level-0 table #50: 12346 bytes OK +2026/01/20-15:00:14.130 18e0 Delete type=0 #46 diff --git a/user/user_data/Default/Sessions/Tabs_13413361585897831 b/user/user_data/Default/Sessions/Tabs_13413389997889434 similarity index 76% rename from user/user_data/Default/Sessions/Tabs_13413361585897831 rename to user/user_data/Default/Sessions/Tabs_13413389997889434 index 975f8b4..744106a 100644 Binary files a/user/user_data/Default/Sessions/Tabs_13413361585897831 and b/user/user_data/Default/Sessions/Tabs_13413389997889434 differ diff --git a/user/user_data/Default/LOCK b/user/user_data/Default/SharedStorage-wal similarity index 100% rename from user/user_data/Default/LOCK rename to user/user_data/Default/SharedStorage-wal diff --git a/user/user_data/Default/Site Characteristics Database/000006.log b/user/user_data/Default/Site Characteristics Database/000006.log index d0ca862..b10697d 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 938560f..ca859ef 100644 --- a/user/user_data/Default/Site Characteristics Database/LOG +++ b/user/user_data/Default/Site Characteristics Database/LOG @@ -1,3 +1,3 @@ -2026/01/20-15:00:01.809 4160 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Site Characteristics Database/MANIFEST-000001 -2026/01/20-15:00:01.811 4160 Recovering log #6 -2026/01/20-15:00:01.812 4160 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Site Characteristics Database/000006.log +2026/01/20-21:39:55.244 36f4 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Site Characteristics Database/MANIFEST-000001 +2026/01/20-21:39:55.245 36f4 Recovering log #6 +2026/01/20-21:39:55.246 36f4 Reusing old log C:\Users\27942\Desktop\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 83a85b9..938560f 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 @@ -2026/01/20-13:46:47.855 11ec Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Site Characteristics Database/MANIFEST-000001 -2026/01/20-13:46:47.877 11ec Recovering log #6 -2026/01/20-13:46:47.878 11ec Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Site Characteristics Database/000006.log +2026/01/20-15:00:01.809 4160 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Site Characteristics Database/MANIFEST-000001 +2026/01/20-15:00:01.811 4160 Recovering log #6 +2026/01/20-15:00:01.812 4160 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 83cf632..626dee7 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 8ac4a90..28f9d05 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 14150e4..d792248 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 @@ -2026/01/20-11:03:03.193 8f54 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/MANIFEST-000001 -2026/01/20-11:03:03.195 8f54 Recovering log #3 -2026/01/20-11:03:03.205 8f54 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/000003.log +2026/01/20-21:40:00.610 4a9c Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/MANIFEST-000001 +2026/01/20-21:40:00.611 4a9c Recovering log #3 +2026/01/20-21:40:00.614 4a9c Reusing old log C:\Users\27942\Desktop\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 afdd0bc..14150e4 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 @@ -2026/01/17-15:05:14.590 9590 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/MANIFEST-000001 -2026/01/17-15:05:14.592 9590 Recovering log #3 -2026/01/17-15:05:14.600 9590 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/000003.log +2026/01/20-11:03:03.193 8f54 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Local Storage\leveldb/MANIFEST-000001 +2026/01/20-11:03:03.195 8f54 Recovering log #3 +2026/01/20-11:03:03.205 8f54 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 1f18432..1780fb3 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 36921ca..4117fd0 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 @@ -2026/01/20-11:03:18.467 8f54 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/MANIFEST-000001 -2026/01/20-11:03:18.467 8f54 Recovering log #3 -2026/01/20-11:03:18.472 8f54 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/000003.log +2026/01/20-21:40:15.742 4a9c Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/MANIFEST-000001 +2026/01/20-21:40:15.743 4a9c Recovering log #3 +2026/01/20-21:40:15.747 4a9c 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/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG.old b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/Session Storage/LOG.old index dc36462..36921ca 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 @@ -2026/01/17-15:05:29.861 9590 Reusing MANIFEST C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/MANIFEST-000001 -2026/01/17-15:05:29.862 9590 Recovering log #3 -2026/01/17-15:05:29.866 9590 Reusing old log C:\Users\27942\Desktop\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/000003.log +2026/01/20-11:03:18.467 8f54 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Storage\ext\nmmhkkegccagdldgiimedpiccmgmieda\def\Session Storage/MANIFEST-000001 +2026/01/20-11:03:18.467 8f54 Recovering log #3 +2026/01/20-11:03:18.472 8f54 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/LOG b/user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/SharedStorage-wal similarity index 100% rename from user/user_data/Default/LOG rename to user/user_data/Default/Storage/ext/nmmhkkegccagdldgiimedpiccmgmieda/def/SharedStorage-wal diff --git a/user/user_data/Default/Sync Data/LevelDB/LOG b/user/user_data/Default/Sync Data/LevelDB/LOG index f7d8b50..e69de29 100644 --- a/user/user_data/Default/Sync Data/LevelDB/LOG +++ b/user/user_data/Default/Sync Data/LevelDB/LOG @@ -1,3 +0,0 @@ -2026/01/20-15:00:01.791 2974 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Sync Data\LevelDB/MANIFEST-000001 -2026/01/20-15:00:01.791 2974 Recovering log #3 -2026/01/20-15:00:01.792 2974 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 b8bba12..f7d8b50 100644 --- a/user/user_data/Default/Sync Data/LevelDB/LOG.old +++ b/user/user_data/Default/Sync Data/LevelDB/LOG.old @@ -1,3 +1,3 @@ -2026/01/20-13:46:47.818 9b54 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Sync Data\LevelDB/MANIFEST-000001 -2026/01/20-13:46:47.819 9b54 Recovering log #3 -2026/01/20-13:46:47.820 9b54 Reusing old log C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Sync Data\LevelDB/000003.log +2026/01/20-15:00:01.791 2974 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\Sync Data\LevelDB/MANIFEST-000001 +2026/01/20-15:00:01.791 2974 Recovering log #3 +2026/01/20-15:00:01.792 2974 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 29c1754..7347a0e 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 ee389df..dd47c71 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 deleted file mode 100644 index e69de29..0000000 diff --git a/user/user_data/Default/optimization_guide_hint_cache_store/LOG b/user/user_data/Default/optimization_guide_hint_cache_store/LOG deleted file mode 100644 index e69de29..0000000 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 deleted file mode 100644 index e69de29..0000000 diff --git a/user/user_data/Default/passkey_enclave_state b/user/user_data/Default/passkey_enclave_state index d72e0cb..036b1c6 100644 --- a/user/user_data/Default/passkey_enclave_state +++ b/user/user_data/Default/passkey_enclave_state @@ -1,2 +1 @@ -v10L"$^X@VA -{ε8F?Ӽ݄rhBU3uʟ7MGz\W \ No newline at end of file +v10 Ril/z/tr(8>S='{Ib\﷞ ˦Ȇ$@=>nf \ No newline at end of file diff --git a/user/user_data/Default/shared_proto_db/metadata/LOG b/user/user_data/Default/shared_proto_db/metadata/LOG index 3665580..e69de29 100644 --- a/user/user_data/Default/shared_proto_db/metadata/LOG +++ b/user/user_data/Default/shared_proto_db/metadata/LOG @@ -1,3 +0,0 @@ -2026/01/20-15:00:01.973 70cc Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db\metadata/MANIFEST-000001 -2026/01/20-15:00:01.974 70cc Recovering log #3 -2026/01/20-15:00:01.974 70cc 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 99fca83..e69de29 100644 --- a/user/user_data/Default/shared_proto_db/metadata/LOG.old +++ b/user/user_data/Default/shared_proto_db/metadata/LOG.old @@ -1,3 +0,0 @@ -2026/01/20-13:46:23.404 70f0 Reusing MANIFEST C:\Users\27942\Desktop\codesk\haha\user\user_data\Default\shared_proto_db\metadata/MANIFEST-000001 -2026/01/20-13:46:23.405 70f0 Recovering log #3 -2026/01/20-13:46:23.406 70f0 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 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","variations_country":"us","variations_crash_streak":0,"variations_failed_to_fetch_seed_streak":0,"variations_google_groups":{"Default":[]},"variations_last_fetch_time":"13413389998383890","variations_permanent_consistency_country":["144.0.7559.60","us"],"variations_safe_compressed_seed":"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