diff --git a/plugins/actions/export_to_excel/export_to_excel.py b/plugins/actions/export_to_excel/export_to_excel.py index e0fed2d..b49780d 100644 --- a/plugins/actions/export_to_excel/export_to_excel.py +++ b/plugins/actions/export_to_excel/export_to_excel.py @@ -1,9 +1,11 @@ """ -title: 导出到Excel +title: Export to Excel author: Fu-Jie -description: 从最后一条AI回答消息中提取Markdown表格到Excel文件，并在浏览器中触发下载。支持多表并自动根据标题命名 -icon_url: data:image/svg+xml;base64,PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz48IS0tIFVwbG9hZGVkIHRvOiBTVkcgUmVwbywgd3d3LnN2Z3JlcG8uY29tLCBHZW5lcmF0b3I6IFNWRyBSZXBvIE1peGVyIFRvb2xzIC0tPgo8c3ZnIHdpZHRoPSI4MDBweCIgaGVpZ2h0PSI4MDBweCIgdmlld0JveD0iMCAtMS4yNyAxMTAuMDM3IDExMC4wMzciIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+PHBhdGggZD0iTTU3LjU1IDBoNy40MjV2MTBjMTIuNTEzIDAgMjUuMDI1LjAyNSAzNy41MzctLjAzOCAyLjExMy4wODcgNC40MzgtLjA2MiA2LjI3NSAxLjIgMS4yODcgMS44NSAxLjEzOCA0LjIgMS4yMjUgNi4zMjUtLjA2MiAyMS43LS4wMzcgNDMuMzg4LS4wMjQgNjUuMDc1LS4wNjIgMy42MzguMzM3IDcuMzUtLjQyNSAxMC45MzgtLjUgMi42LTMuNjI1IDIuNjYyLTUuNzEzIDIuNzUtMTIuOTUuMDM3LTI1LjkxMi0uMDI1LTM4Ljg3NSAwdjExLjI1aC03Ljc2M2MtMTkuMDUtMy40NjMtMzguMTM4LTYuNjYyLTU3LjIxMi0xMFYxMC4wMTNDMTkuMTg4IDYuNjc1IDM4LjM3NSAzLjM4OCA1Ny41NSAweiIgZmlsbD0iIzIwNzI0NSIvPjxwYXRoIGQ9Ik02NC45NzUgMTMuNzVoNDEuMjVWOTIuNWgtNDEuMjVWODVoMTB2LTguNzVoLTEwdi01aDEwVjYyLjVoLTEwdi01aDEwdi04Ljc1aC0xMHYtNWgxMFYzNWgtMTB2LTVoMTB2LTguNzVoLTEwdi03LjV6IiBmaWxsPSIjZmZmZmZmIi8+PHBhdGggZD0iTTc5Ljk3NSAyMS4yNWgxNy41VjMwaC0xNy41di04Ljc1eiIgZmlsbD0iIzIwNzI0NSIvPjxwYXRoIGQ9Ik0zNy4wMjUgMzIuOTYyYzIuODI1LS4yIDUuNjYzLS4zNzUgOC41LS41MTJhMjYwNy4zNDQgMjYwNy4zNDQgMCAwIDEtMTAuMDg3IDIwLjQ4N2MzLjQzOCA3IDYuOTQ5IDEzLjk1IDEwLjM5OSAyMC45NSBhNzE2LjI4IDcxNi4yOCAwIDAgMS05LjAyNC0uNTc1Yy0yLjEyNS01LjIxMy00LjcxMy0xMC4yNS02LjIzOC0xNS43Yy0xLjY5OSA1LjA3NS00LjEyNSA5Ljg2Mi02LjA3NCAxNC44MzgtMi43MzgtLjAzOC01LjQ3Ni0uMTUtOC4yMTMtLjI2M0MxOS41IDY1LjkgMjIuNiA1OS41NjIgMjUuOTEyIDUzLjMxMmMtMi44MTItNi40MzgtNS45LTEyLjc1LTguOC0xOS4xNSAyLjc1LS4xNjMgNS41LS4zMjUgOC4yNS0uNDc1IDEuODYyIDQuODg4IDMuODk5IDkuNzEyIDUuNDM4IDE0LjcyNSAxLjY0OS01LjMxMiA0LjExMi0xMC4zMTIgNi4yMjUtMTUuNDV6IiBmaWxsPSIjZmZmZmZmIi8+PHBhdGggZD0iTTc5Ljk3NSAzNWgxNy41djguNzVoLTE3LjVWMzV6TTc5Ljk3NSA0OC43NWgxNy41djguNzVoLTE3LjV2LTguNzV6TTc5Ljk3NSA2Mi41aDE3LjV2OC43NWgtMTcuNVY2Mi41ek03OS45NzUgNzYuMjVoMTcuNVY4NWgtMTcuNXYtOC43NXoiIGZpbGw9IiMyMDcyNDUiLz48L3N2Zz4= -version: 0.1.0 +author_url: https://github.com/Fu-Jie +funding_url: https://github.com/Fu-Jie/awesome-openwebui +version: 0.3.3 +icon_url: data:image/svg+xml;base64,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 +description: Exports the current chat history to an Excel (.xlsx) file, with automatic header extraction. """ import os @@ -37,17 +39,17 @@ class Action: print(f"action:{__name__}") if isinstance(__user__, (list, tuple)): user_language = ( - __user__[0].get("language", "zh-CN") if __user__ else "zh-CN" + __user__[0].get("language", "en-US") if __user__ else "en-US" ) - user_name = __user__[0].get("name", "用户") if __user__[0] else "用户" + user_name = __user__[0].get("name", "User") if __user__[0] else "User" user_id = ( __user__[0]["id"] if __user__ and "id" in __user__[0] else "unknown_user" ) elif isinstance(__user__, dict): - user_language = __user__.get("language", "zh-CN") - user_name = __user__.get("name", "用户") + user_language = __user__.get("language", "en-US") + user_name = __user__.get("name", "User") user_id = __user__.get("id", "unknown_user") if __event_emitter__: @@ -56,7 +58,7 @@ class Action: await __event_emitter__( { "type": "status", - "data": {"description": "正在保存到文件...", "done": False}, + "data": {"description": "Saving to file...", "done": False}, } ) @@ -65,18 +67,18 @@ class Action: tables = self.extract_tables_from_message(message_content) if not tables: - raise HTTPException(status_code=400, detail="未找到任何表格。") + raise HTTPException(status_code=400, detail="No tables found.") - # 获取动态文件名和sheet名称 + # Get dynamic filename and sheet names workbook_name, sheet_names = self.generate_names_from_content( message_content, tables ) - # 使用优化后的文件名生成逻辑 + # Use optimized filename generation logic current_datetime = datetime.datetime.now() formatted_date = current_datetime.strftime("%Y%m%d") - # 如果没找到标题则使用 user_yyyymmdd 格式 + # If no title found, use user_yyyymmdd format if not workbook_name: workbook_name = f"{user_name}_{formatted_date}" @@ -87,10 +89,10 @@ class Action: os.makedirs(os.path.dirname(excel_file_path), exist_ok=True) - # 保存表格到Excel（使用符合中国规范的格式化功能） + # Save tables to Excel (using enhanced formatting) self.save_tables_to_excel_enhanced(tables, excel_file_path, sheet_names) - # 触发文件下载 + # Trigger file download if __event_call__: with open(excel_file_path, "rb") as file: file_content = file.read() @@ -121,7 +123,7 @@ class Action: URL.revokeObjectURL(url); document.body.removeChild(a); }} catch (error) {{ - console.error('触发下载时出错:', error); + console.error('Error triggering download:', error); }} """ }, @@ -130,15 +132,15 @@ class Action: await __event_emitter__( { "type": "status", - "data": {"description": "输出已保存", "done": True}, + "data": {"description": "File saved", "done": True}, } ) - # 清理临时文件 + # Clean up temp file if os.path.exists(excel_file_path): os.remove(excel_file_path) - return {"message": "下载事件已触发"} + return {"message": "Download triggered"} except HTTPException as e: print(f"Error processing tables: {str(e.detail)}") @@ -146,13 +148,13 @@ class Action: { "type": "status", "data": { - "description": f"保存文件时出错: {e.detail}", + "description": f"Error saving file: {e.detail}", "done": True, }, } ) await self._send_notification( - __event_emitter__, "error", "没有找到可以导出的表格!" + __event_emitter__, "error", "No tables found to export!" ) raise e except Exception as e: @@ -161,22 +163,22 @@ class Action: { "type": "status", "data": { - "description": f"保存文件时出错: {str(e)}", + "description": f"Error saving file: {str(e)}", "done": True, }, } ) await self._send_notification( - __event_emitter__, "error", "没有找到可以导出的表格!" + __event_emitter__, "error", "No tables found to export!" ) def extract_tables_from_message(self, message: str) -> List[Dict]: """ - 从消息文本中提取Markdown表格及位置信息 - 返回结构: [{ - "data": 表格数据, - "start_line": 起始行号, - "end_line": 结束行号 + Extract Markdown tables and their positions from message text + Returns structure: [{ + "data": table data, + "start_line": start line number, + "end_line": end line number }] """ table_row_pattern = r"^\s*\|.*\|.*\s*$" @@ -190,17 +192,17 @@ class Action: current_line += 1 if re.search(table_row_pattern, row): if start_line is None: - start_line = current_line # 记录表格起始行 + start_line = current_line # Record table start line - # 处理表格行 + # Process table row cells = [cell.strip() for cell in row.strip().strip("|").split("|")] - # 跳过分隔行 + # Skip separator row is_separator_row = all(re.fullmatch(r"[:\-]+", cell) for cell in cells) if not is_separator_row: current_table.append(cells) elif current_table: - # 表格结束 + # Table ends tables.append( { "data": current_table, @@ -211,7 +213,7 @@ class Action: current_table = [] start_line = None - # 处理最后一个表格 + # Process the last table if current_table: tables.append( { @@ -225,106 +227,106 @@ class Action: def generate_names_from_content(self, content: str, tables: List[Dict]) -> tuple: """ - 根据内容生成工作簿名称和sheet名称 - - 忽略非空段落，只使用 markdown 标题 (h1-h6)。 - - 单表格: 使用最近的标题作为工作簿和工作表名。 - - 多表格: 使用文档第一个标题作为工作簿名，各表格最近的标题作为工作表名。 - - 默认命名: - - 工作簿: 在主流程中处理 (user_yyyymmdd.xlsx)。 - - 工作表: 表1, 表2, ... + Generate workbook name and sheet names based on content + - Ignore non-empty paragraphs, only use markdown headers (h1-h6). + - Single table: Use the closest header as workbook and sheet name. + - Multiple tables: Use the first header in the document as workbook name, and closest header for each table as sheet name. + - Default naming: + - Workbook: Handled in main flow (user_yyyymmdd.xlsx). + - Sheet: Sheet1, Sheet2, ... """ lines = content.split("\n") workbook_name = "" sheet_names = [] all_headers = [] - # 1. 查找文档中所有 h1-h6 标题及其位置 + # 1. Find all h1-h6 headers and their positions for i, line in enumerate(lines): if re.match(r"^#{1,6}\s+", line): all_headers.append( {"text": re.sub(r"^#{1,6}\s+", "", line).strip(), "line_num": i} ) - # 2. 为每个表格生成 sheet 名称 + # 2. Generate sheet name for each table for i, table in enumerate(tables): - table_start_line = table["start_line"] - 1 # 转换为 0-based 索引 + table_start_line = table["start_line"] - 1 # Convert to 0-based index closest_header_text = None - # 查找当前表格上方最近的标题 + # Find closest header above current table candidate_headers = [ h for h in all_headers if h["line_num"] < table_start_line ] if candidate_headers: - # 找到候选标题中行号最大的，即为最接近的 + # Find the header with the largest line number among candidates closest_header = max(candidate_headers, key=lambda x: x["line_num"]) closest_header_text = closest_header["text"] if closest_header_text: - # 清理并添加找到的标题 + # Clean and add found header sheet_names.append(self.clean_sheet_name(closest_header_text)) else: - # 如果找不到标题，使用默认名称 "表{i+1}" - sheet_names.append(f"表{i+1}") + # If no header found, use default name "Sheet{i+1}" + sheet_names.append(f"Sheet{i+1}") - # 3. 根据表格数量确定工作簿名称 + # 3. Determine workbook name based on table count if len(tables) == 1: - # 单个表格: 使用其工作表名作为工作簿名 (前提是该名称不是默认的 "表1") - if sheet_names[0] != "表1": + # Single table: Use its sheet name as workbook name (if not default "Sheet1") + if sheet_names[0] != "Sheet1": workbook_name = sheet_names[0] elif len(tables) > 1: - # 多个表格: 使用文档中的第一个标题作为工作簿名 + # Multiple tables: Use the first header in the document as workbook name if all_headers: - # 找到所有标题中行号最小的，即为第一个标题 + # Find header with smallest line number first_header = min(all_headers, key=lambda x: x["line_num"]) workbook_name = first_header["text"] - # 4. 清理工作簿名称 (如果为空，主流程会使用默认名称) + # 4. Clean workbook name (if empty, main flow will use default name) workbook_name = self.clean_filename(workbook_name) if workbook_name else "" return workbook_name, sheet_names def clean_filename(self, name: str) -> str: - """清理文件名中的非法字符""" + """Clean illegal characters in filename""" return re.sub(r'[\\/*?:"<>|]', "", name).strip() def clean_sheet_name(self, name: str) -> str: - """清理sheet名称(限制31字符,去除非法字符)""" + """Clean sheet name (limit 31 chars, remove illegal chars)""" name = re.sub(r"[\\/*?[\]:]", "", name).strip() return name[:31] if len(name) > 31 else name - # ======================== 符合中国规范的格式化功能 ======================== + # ======================== Enhanced Formatting ======================== def calculate_text_width(self, text: str) -> float: """ - 计算文本显示宽度，考虑中英文字符差异 - 中文字符按2个单位计算，英文字符按1个单位计算 + Calculate text display width, considering CJK characters + CJK characters count as 2 units, others as 1 unit """ if not text: return 0 width = 0 for char in str(text): - # 判断是否为中文字符（包括中文标点） + # Check if CJK character if "\u4e00" <= char <= "\u9fff" or "\u3000" <= char <= "\u303f": - width += 2 # 中文字符占2个单位宽度 + width += 2 else: - width += 1 # 英文字符占1个单位宽度 + width += 1 return width def calculate_text_height(self, text: str, max_width: int = 50) -> int: """ - 计算文本显示所需的行数 - 根据换行符和文本长度计算 + Calculate required lines for text display + Based on newlines and text length """ if not text: return 1 text = str(text) - # 计算换行符导致的行数 + # Calculate lines from newlines explicit_lines = text.count("\n") + 1 - # 计算因文本长度超出而需要的额外行数 + # Calculate extra lines from wrapping text_width = self.calculate_text_width(text.replace("\n", "")) wrapped_lines = max( 1, int(text_width / max_width) + (1 if text_width % max_width > 0 else 0) @@ -334,7 +336,7 @@ class Action: def get_column_letter(self, col_index: int) -> str: """ - 将列索引转换为Excel列字母 (A, B, C, ..., AA, AB, ...) + Convert column index to Excel column letter (A, B, C, ..., AA, AB, ...) """ result = "" while col_index >= 0: @@ -344,44 +346,42 @@ class Action: def determine_content_type(self, header: str, values: list) -> str: """ - 根据表头和内容智能判断数据类型，符合中国官方表格规范 - 返回: 'number', 'date', 'sequence', 'text' + Intelligently determine data type based on header and content + Returns: 'number', 'date', 'sequence', 'text' """ header_lower = str(header).lower().strip() - # 检查表头关键词 + # Check header keywords number_keywords = [ - "数量", - "金额", - "价格", - "费用", - "成本", - "收入", - "支出", - "总计", - "小计", - "百分比", + "quantity", + "amount", + "price", + "cost", + "revenue", + "expense", + "total", + "subtotal", + "percentage", "%", - "比例", - "率", - "数值", - "分数", - "成绩", - "得分", + "ratio", + "rate", + "value", + "score", + "points", ] - date_keywords = ["日期", "时间", "年份", "月份", "时刻", "date", "time"] + date_keywords = ["date", "time", "year", "month", "moment"] sequence_keywords = [ - "序号", - "编号", - "号码", - "排序", - "次序", - "顺序", + "no", + "no.", "id", - "编码", + "index", + "rank", + "order", + "sequence", + "code", ] - # 检查表头 + # Check header for keyword in number_keywords: if keyword in header_lower: return "number" @@ -394,13 +394,13 @@ class Action: if keyword in header_lower: return "sequence" - # 检查数据内容 + # Check data content if not values: return "text" sample_values = [ str(v).strip() for v in values[:10] if str(v).strip() - ] # 取前10个非空值作为样本 + ] # Use first 10 non-empty values as sample if not sample_values: return "text" @@ -409,22 +409,17 @@ class Action: sequence_count = 0 for value in sample_values: - # 检查是否为数字 + # Check if number try: - float( - value.replace(",", "") - .replace("，", "") - .replace("%", "") - .replace("％", "") - ) + float(value.replace(",", "").replace("%", "")) numeric_count += 1 continue except ValueError: pass - # 检查是否为日期格式 + # Check if date format date_patterns = [ - r"\d{4}[-/年]\d{1,2}[-/月]\d{1,2}日?", + r"\d{4}[-/]\d{1,2}[-/]\d{1,2}", r"\d{1,2}[-/]\d{1,2}[-/]\d{4}", r"\d{4}\d{2}\d{2}", ] @@ -433,15 +428,15 @@ class Action: date_count += 1 break - # 检查是否为序号格式 + # Check if sequence format if ( re.match(r"^\d+$", value) and len(value) <= 4 - ): # 纯数字且不超过4位，可能是序号 + ): # Pure digits and <= 4 chars, likely sequence sequence_count += 1 total_count = len(sample_values) - # 根据比例判断类型 + # Determine type based on ratio if numeric_count / total_count >= 0.7: return "number" elif date_count / total_count >= 0.7: @@ -451,27 +446,17 @@ class Action: else: return "text" - def get_column_letter(self, col_index: int) -> str: - """ - 将列索引转换为Excel列字母 (A, B, C, ..., AA, AB, ...) - """ - result = "" - while col_index >= 0: - result = chr(65 + col_index % 26) + result - col_index = col_index // 26 - 1 - return result - def save_tables_to_excel_enhanced( self, tables: List[Dict], file_path: str, sheet_names: List[str] ): """ - 符合中国官方表格规范的Excel保存功能 + Enhanced Excel saving function with standard formatting """ try: with pd.ExcelWriter(file_path, engine="xlsxwriter") as writer: workbook = writer.book - # 定义表头样式 - 居中对齐（符合中国规范） + # Define header style - Center aligned header_format = workbook.add_format( { "bold": True, @@ -479,62 +464,62 @@ class Action: "font_color": "white", "bg_color": "#00abbd", "border": 1, - "align": "center", # 表头居中 + "align": "center", "valign": "vcenter", "text_wrap": True, } ) - # 文本单元格样式 - 左对齐 + # Text cell style - Left aligned text_format = workbook.add_format( { "border": 1, - "align": "left", # 文本左对齐 + "align": "left", "valign": "vcenter", "text_wrap": True, } ) - # 数值单元格样式 - 右对齐 + # Number cell style - Right aligned number_format = workbook.add_format( - {"border": 1, "align": "right", "valign": "vcenter"} # 数值右对齐 + {"border": 1, "align": "right", "valign": "vcenter"} ) - # 整数格式 - 右对齐 + # Integer format - Right aligned integer_format = workbook.add_format( { "num_format": "0", "border": 1, - "align": "right", # 整数右对齐 + "align": "right", "valign": "vcenter", } ) - # 小数格式 - 右对齐 + # Decimal format - Right aligned decimal_format = workbook.add_format( { "num_format": "0.00", "border": 1, - "align": "right", # 小数右对齐 + "align": "right", "valign": "vcenter", } ) - # 日期格式 - 居中对齐 + # Date format - Center aligned date_format = workbook.add_format( { "border": 1, - "align": "center", # 日期居中对齐 + "align": "center", "valign": "vcenter", "text_wrap": True, } ) - # 序号格式 - 居中对齐 + # Sequence format - Center aligned sequence_format = workbook.add_format( { "border": 1, - "align": "center", # 序号居中对齐 + "align": "center", "valign": "vcenter", } ) @@ -548,12 +533,12 @@ class Action: print(f"Processing table {i+1} with {len(table_data)} rows") - # 获取sheet名称 + # Get sheet name sheet_name = ( - sheet_names[i] if i < len(sheet_names) else f"表{i+1}" + sheet_names[i] if i < len(sheet_names) else f"Sheet{i+1}" ) - # 创建DataFrame + # Create DataFrame headers = [ str(cell).strip() for cell in table_data[0] @@ -561,7 +546,7 @@ class Action: ] if not headers: print(f"Warning: No valid headers found for table {i+1}") - headers = [f"列{j+1}" for j in range(len(table_data[0]))] + headers = [f"Col{j+1}" for j in range(len(table_data[0]))] data_rows = [] if len(table_data) > 1: @@ -580,14 +565,14 @@ class Action: print(f"DataFrame created with columns: {list(df.columns)}") - # 修复pandas FutureWarning - 使用try-except替代errors='ignore' + # Fix pandas FutureWarning for col in df.columns: try: df[col] = pd.to_numeric(df[col]) except (ValueError, TypeError): pass - # 先写入数据（不包含表头） + # Write data first (without header) df.to_excel( writer, sheet_name=sheet_name, @@ -597,8 +582,8 @@ class Action: ) worksheet = writer.sheets[sheet_name] - # 应用符合中国规范的格式化 - self.apply_chinese_standard_formatting( + # Apply enhanced formatting + self.apply_enhanced_formatting( worksheet, df, headers, @@ -620,7 +605,7 @@ class Action: print(f"Error saving Excel file: {str(e)}") raise - def apply_chinese_standard_formatting( + def apply_enhanced_formatting( self, worksheet, df, @@ -635,24 +620,24 @@ class Action: sequence_format, ): """ - 应用符合中国官方表格规范的格式化 - - 表头: 居中对齐 - - 数值: 右对齐 - - 文本: 左对齐 - - 日期: 居中对齐 - - 序号: 居中对齐 + Apply enhanced formatting + - Header: Center aligned + - Number: Right aligned + - Text: Left aligned + - Date: Center aligned + - Sequence: Center aligned """ try: - # 1. 写入表头（居中对齐） - print(f"Writing headers with Chinese standard alignment: {headers}") + # 1. Write headers (Center aligned) + print(f"Writing headers with enhanced alignment: {headers}") for col_idx, header in enumerate(headers): if header and str(header).strip(): worksheet.write(0, col_idx, str(header).strip(), header_format) else: - default_header = f"列{col_idx+1}" + default_header = f"Col{col_idx+1}" worksheet.write(0, col_idx, default_header, header_format) - # 2. 分析每列的数据类型并应用相应格式 + # 2. Analyze column types column_types = {} for col_idx, column in enumerate(headers): if col_idx < len(df.columns): @@ -666,14 +651,14 @@ class Action: else: column_types[col_idx] = "text" - # 3. 写入并格式化数据（根据类型使用不同对齐方式） + # 3. Write and format data for row_idx, row in df.iterrows(): for col_idx, value in enumerate(row): content_type = column_types.get(col_idx, "text") - # 根据内容类型选择格式 + # Select format based on content type if content_type == "number": - # 数值类型 - 右对齐 + # Number - Right aligned if pd.api.types.is_numeric_dtype(df.iloc[:, col_idx]): if pd.api.types.is_integer_dtype(df.iloc[:, col_idx]): current_format = integer_format @@ -691,49 +676,45 @@ class Action: current_format = number_format elif content_type == "date": - # 日期类型 - 居中对齐 + # Date - Center aligned current_format = date_format elif content_type == "sequence": - # 序号类型 - 居中对齐 + # Sequence - Center aligned current_format = sequence_format else: - # 文本类型 - 左对齐 + # Text - Left aligned current_format = text_format worksheet.write(row_idx + 1, col_idx, value, current_format) - # 4. 自动调整列宽 + # 4. Auto-adjust column width for col_idx, column in enumerate(headers): col_letter = self.get_column_letter(col_idx) - # 计算表头宽度 + # Calculate header width header_width = self.calculate_text_width(str(column)) - # 计算数据列的最大宽度 + # Calculate max data width max_data_width = 0 if not df.empty and col_idx < len(df.columns): for value in df.iloc[:, col_idx]: value_width = self.calculate_text_width(str(value)) max_data_width = max(max_data_width, value_width) - # 基础宽度：取表头和数据的最大宽度 + # Base width base_width = max(header_width, max_data_width) - # 根据内容类型调整宽度 + # Adjust width based on type content_type = column_types.get(col_idx, "text") if content_type == "sequence": - # 序号列通常比较窄 optimal_width = max(8, min(15, base_width + 2)) elif content_type == "number": - # 数值列需要额外空间显示数字 optimal_width = max(12, min(25, base_width + 3)) elif content_type == "date": - # 日期列需要固定宽度 optimal_width = max(15, min(20, base_width + 2)) else: - # 文本列根据内容调整 if base_width <= 10: optimal_width = base_width + 3 elif base_width <= 20: @@ -744,13 +725,11 @@ class Action: worksheet.set_column(f"{col_letter}:{col_letter}", optimal_width) - # 5. 自动调整行高 - # 设置表头行高为35点 + # 5. Auto-adjust row height worksheet.set_row(0, 35) - # 设置数据行行高 for row_idx, row in df.iterrows(): - max_row_height = 20 # 中国表格规范建议的最小行高 + max_row_height = 20 for col_idx, value in enumerate(row): if col_idx < len(headers): @@ -764,26 +743,24 @@ class Action: col_width = 15 cell_lines = self.calculate_text_height(str(value), col_width) - cell_height = cell_lines * 20 # 每行20点高度，符合中国规范 + cell_height = cell_lines * 20 max_row_height = max(max_row_height, cell_height) final_height = min(120, max_row_height) worksheet.set_row(row_idx + 1, final_height) - print(f"Successfully applied Chinese standard formatting") + print(f"Successfully applied enhanced formatting") except Exception as e: - print(f"Warning: Failed to apply Chinese standard formatting: {str(e)}") - # 降级到基础格式化 + print(f"Warning: Failed to apply enhanced formatting: {str(e)}") self.apply_basic_formatting_fallback(worksheet, df) def apply_basic_formatting_fallback(self, worksheet, df): """ - 基础格式化降级方案 + Basic formatting fallback """ try: - # 基础列宽调整 for i, column in enumerate(df.columns): column_width = ( max( @@ -798,7 +775,5 @@ class Action: f"{col_letter}:{col_letter}", min(60, max(10, column_width)) ) - print("Applied basic formatting fallback") - except Exception as e: - print(f"Warning: Even basic formatting failed: {str(e)}") + print(f"Error in basic formatting: {str(e)}") diff --git a/plugins/actions/export_to_excel/export_to_excel_cn.py b/plugins/actions/export_to_excel/导出为Excel.py similarity index 99% rename from plugins/actions/export_to_excel/export_to_excel_cn.py rename to plugins/actions/export_to_excel/导出为Excel.py index 07f3fc7..9c9cce5 100644 --- a/plugins/actions/export_to_excel/export_to_excel_cn.py +++ b/plugins/actions/export_to_excel/导出为Excel.py @@ -1,8 +1,8 @@ """ title: 导出为 Excel -author: Antigravity -author_url: https://github.com/open-webui -funding_url: https://github.com/open-webui +author: Fu-Jie +author_url: https://github.com/Fu-Jie +funding_url: https://github.com/Fu-Jie/awesome-openwebui version: 0.3.3 icon_url: data:image/svg+xml;base64,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 description: 将当前对话历史导出为 Excel (.xlsx) 文件，支持自动提取表头。 diff --git a/plugins/actions/knowledge-card/knowledge_card.py b/plugins/actions/knowledge-card/knowledge_card.py index 4e852d0..50ded72 100644 --- a/plugins/actions/knowledge-card/knowledge_card.py +++ b/plugins/actions/knowledge-card/knowledge_card.py @@ -1,11 +1,11 @@ """ -title: 闪记卡 (Flash Card) -author: Antigravity -author_url: https://github.com/open-webui -funding_url: https://github.com/open-webui +title: Flash Card +author: Fu-Jie +author_url: https://github.com/Fu-Jie +funding_url: https://github.com/Fu-Jie/awesome-openwebui version: 0.2.1 icon_url: data:image/svg+xml;base64,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 -description: 快速将文本提炼为精美的学习记忆卡片，支持核心要点提取与分类。 +description: Quickly generates beautiful flashcards from text, extracting key points and categories. """ from pydantic import BaseModel, Field @@ -24,20 +24,23 @@ class Action: class Valves(BaseModel): model_id: str = Field( default="", - description="用于生成卡片内容的模型 ID。如果为空，则使用当前模型。", + description="Model ID used for generating card content. If empty, uses the current model.", ) min_text_length: int = Field( - default=50, description="生成闪记卡所需的最小文本长度（字符数）。" + default=50, + description="Minimum text length required to generate a flashcard (characters).", ) max_text_length: int = Field( default=2000, - description="建议的最大文本长度。超过此长度建议使用深度分析工具。", + description="Recommended maximum text length. For longer texts, deep analysis tools are recommended.", ) language: str = Field( - default="zh", description="卡片内容的目标语言 (例如 'zh', 'en')。" + default="en", + description="Target language for card content (e.g., 'en', 'zh').", ) show_status: bool = Field( - default=True, description="是否在聊天界面显示状态更新。" + default=True, + description="Whether to show status updates in the chat interface.", ) def __init__(self): @@ -72,7 +75,7 @@ class Action: "type": "notification", "data": { "type": "warning", - "content": f"文本过短（{text_length}字符），建议至少{self.valves.min_text_length}字符。", + "content": f"Text too short ({text_length} chars), recommended at least {self.valves.min_text_length} chars.", }, } ) @@ -85,7 +88,7 @@ class Action: "type": "notification", "data": { "type": "info", - "content": f"文本较长（{text_length}字符），建议使用'墨海拾贝'进行深度分析。", + "content": f"Text quite long ({text_length} chars), consider using 'Deep Reading' for deep analysis.", }, } ) @@ -97,7 +100,7 @@ class Action: "type": "notification", "data": { "type": "info", - "content": "⚡ 正在生成闪记卡...", + "content": "⚡ Generating Flash Card...", }, } ) @@ -110,29 +113,29 @@ class Action: model = self.valves.model_id if self.valves.model_id else body.get("model") system_prompt = f""" -你是一个闪记卡生成专家，专注于创建适合学习和记忆的知识卡片。你的任务是将文本提炼成简洁、易记的学习卡片。 +You are a Flash Card Generation Expert, specializing in creating knowledge cards suitable for learning and memorization. Your task is to distill text into concise, easy-to-remember flashcards. -请提取以下字段，并以 JSON 格式返回： -1. "title": 创建一个简短、精准的标题（6-12 字），突出核心概念 -2. "summary": 用一句话总结核心要义（20-40 字），要通俗易懂、便于记忆 -3. "key_points": 列出 3-5 个关键记忆点（每个 10-20 字） - - 每个要点应该是独立的知识点 - - 使用简洁、口语化的表达 - - 避免冗长的句子 -4. "tags": 列出 2-4 个分类标签（每个 2-5 字） -5. "category": 选择一个主分类（如：概念、技能、事实、方法等） +Please extract the following fields and return them in JSON format: +1. "title": Create a short, precise title (3-8 words), highlighting the core concept. +2. "summary": Summarize the core essence in one sentence (10-25 words), making it easy to understand and remember. +3. "key_points": List 3-5 key memory points (5-15 words each). + - Each point should be an independent knowledge unit. + - Use concise, conversational expression. + - Avoid long sentences. +4. "tags": List 2-4 classification tags (1-3 words each). +5. "category": Choose a main category (e.g., Concept, Skill, Fact, Method, etc.). -目标语言: {self.valves.language} +Target Language: {self.valves.language} -重要原则： -- **极简主义**: 每个要点都要精炼到极致 -- **记忆优先**: 内容要便于记忆和回忆 -- **核心聚焦**: 只提取最核心的知识点 -- **口语化**: 使用通俗易懂的语言 -- 只返回 JSON 对象，不要包含 markdown 格式 +Important Principles: +- **Minimalism**: Refine each point to the extreme. +- **Memory First**: Content should be easy to memorize and recall. +- **Core Focus**: Extract only the most core knowledge points. +- **Conversational**: Use easy-to-understand language. +- Return ONLY the JSON object, do not include markdown formatting. """ - prompt = f"请将以下文本提炼成一张学习记忆卡片：\n\n{target_message}" + prompt = f"Please refine the following text into a learning flashcard:\n\n{target_message}" payload = { "model": model, @@ -163,7 +166,7 @@ class Action: "type": "notification", "data": { "type": "error", - "content": "生成卡片数据失败，请重试。", + "content": "Failed to generate card data, please try again.", }, } ) @@ -173,11 +176,6 @@ class Action: html_card = self.generate_html_card(card_data) # 3. Append to message - # We append it to the user message so it shows up as part of the interaction - # Or we can append it to the assistant response if we were a Pipe, but this is an Action. - # Actions usually modify the input or trigger a side effect. - # To show the card, we can append it to the message content. - html_embed_tag = f"```html\n{html_card}\n```" body["messages"][-1]["content"] += f"\n\n{html_embed_tag}" @@ -187,7 +185,7 @@ class Action: "type": "notification", "data": { "type": "success", - "content": "⚡ 闪记卡生成成功！", + "content": "⚡ Flash Card generated successfully!", }, } ) @@ -202,7 +200,7 @@ class Action: "type": "notification", "data": { "type": "error", - "content": f"生成知识卡片时出错: {str(e)}", + "content": f"Error generating knowledge card: {str(e)}", }, } ) @@ -519,7 +517,7 @@ class Action: # Enhanced HTML structure html = f""" - + @@ -530,20 +528,20 @@ class Action:
-
{data.get('category', '通用知识')}
-

{data.get('title', '知识卡片')}

+
{data.get('category', 'General Knowledge')}
+

{data.get('title', 'Flash Card')}

{data.get('summary', '')}
-
核心要点
+
Key Points
    {''.join([f'
  • {point}
    • ' for point in data.get('key_points', [])])}
- 标签 + Tags {''.join([f'#{tag}' for tag in data.get('tags', [])])}
diff --git a/plugins/actions/knowledge-card/knowledge_card_en.py b/plugins/actions/knowledge-card/闪记卡.py similarity index 98% rename from plugins/actions/knowledge-card/knowledge_card_en.py rename to plugins/actions/knowledge-card/闪记卡.py index fe9a82b..d54ae62 100644 --- a/plugins/actions/knowledge-card/knowledge_card_en.py +++ b/plugins/actions/knowledge-card/闪记卡.py @@ -1,11 +1,11 @@ """ -title: Flash Card -author: Antigravity -author_url: https://github.com/open-webui -funding_url: https://github.com/open-webui +title: 闪记卡 (Flash Card) +author: Fu-Jie +author_url: https://github.com/Fu-Jie +funding_url: https://github.com/Fu-Jie/awesome-openwebui version: 0.2.1 icon_url: data:image/svg+xml;base64,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 -description: Quickly generates beautiful flashcards from text, extracting key points and categories. +description: 快速将文本提炼为精美的学习记忆卡片，支持核心要点提取与分类。 """ from pydantic import BaseModel, Field diff --git a/plugins/actions/smart-mind-map/smart_mind_map.py b/plugins/actions/smart-mind-map/smart_mind_map.py index 3f92b04..70ef2f8 100644 --- a/plugins/actions/smart-mind-map/smart_mind_map.py +++ b/plugins/actions/smart-mind-map/smart_mind_map.py @@ -2,7 +2,7 @@ title: Smart Mind Map icon_url: data:image/svg+xml;base64,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 version: 0.7.3 -description: 智能分析长文本并生成交互式思维导图，支持 SVG/Markdown 导出。 +description: Intelligently analyzes long texts and generates interactive mind maps, supporting SVG/Markdown export. """ from pydantic import BaseModel, Field diff --git a/plugins/actions/summary/summary.py b/plugins/actions/summary/summary.py index 2f1c1c3..92d9485 100644 --- a/plugins/actions/summary/summary.py +++ b/plugins/actions/summary/summary.py @@ -1,8 +1,8 @@ """ title: Deep Reading & Summary -author: Antigravity -author_url: https://github.com/open-webui -funding_url: https://github.com/open-webui +author: Fu-Jie +author_url: https://github.com/Fu-Jie +funding_url: https://github.com/Fu-Jie/awesome-openwebui version: 0.1.0 icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPjxwYXRoIGQ9Ik0yIDNIMGEyIDIgMCAwIDAgMiAyIi8+PHBhdGggZD0iTTIyIDNIMjBhMiAyIDAgMCAwLTIgMiIvPjxwYXRoIGQ9Ik0yIDdoMjB2MTRhMiAyIDAgMCAxLTIgMmgtMTZhMiAyIDAgMCAxLTItMnYtMTQiLz48cGF0aCBkPSJNMTEgMTJ2NiIvPjxwYXRoIGQ9Ik0xNiAxMnY2Ii8+PHBhdGggZD0iTTYgMTJ2NiIvPjwvc3ZnPg== description: Provides deep reading analysis and summarization for long texts. @@ -28,69 +28,69 @@ logging.basicConfig( logger = logging.getLogger(__name__) # ================================================================= -# 内部 LLM 提示词设计 +# Internal LLM Prompts # ================================================================= SYSTEM_PROMPT_READING_ASSISTANT = """ -你是一个专业的深度文本分析专家，擅长精读长篇文本并提炼精华。你的任务是进行全面、深入的分析。 +You are a professional Deep Text Analysis Expert, specializing in reading long texts and extracting the essence. Your task is to conduct a comprehensive and in-depth analysis. -请提供以下内容： -1. **详细摘要**：用 2-3 段话全面总结文本的核心内容，确保准确性和完整性。不要过于简略，要让读者充分理解文本主旨。 -2. **关键信息点**：列出 5-8 个最重要的事实、观点或论据。每个信息点应该： - - 具体且有深度 - - 包含必要的细节和背景 - - 使用 Markdown 列表格式 -3. **行动建议**：从文本中识别并提炼出具体的、可执行的行动项。每个建议应该： - - 明确且可操作 - - 包含执行的优先级或时间建议 - - 如果没有明确的行动项，可以提供学习建议或思考方向 +Please provide the following: +1. **Detailed Summary**: Summarize the core content of the text in 2-3 paragraphs, ensuring accuracy and completeness. Do not be too brief; ensure the reader fully understands the main idea. +2. **Key Information Points**: List 5-8 most important facts, viewpoints, or arguments. Each point should: + - Be specific and insightful + - Include necessary details and context + - Use Markdown list format +3. **Actionable Advice**: Identify and refine specific, actionable items from the text. Each suggestion should: + - Be clear and actionable + - Include execution priority or timing suggestions + - If there are no clear action items, provide learning suggestions or thinking directions -请严格遵循以下指导原则： -- **语言**：所有输出必须使用用户指定的语言。 -- **格式**：请严格按照以下 Markdown 格式输出，确保每个部分都有明确的标题： - ## 摘要 - [这里是详细的摘要内容，2-3段话，可以使用 Markdown 进行**加粗**或*斜体*强调重点] +Please strictly follow these guidelines: +- **Language**: All output must be in the user's specified language. +- **Format**: Please strictly follow the Markdown format below, ensuring each section has a clear header: + ## Summary + [Detailed summary content here, 2-3 paragraphs, use Markdown **bold** or *italic* to emphasize key points] - ## 关键信息点 - - [关键点1：包含具体细节和背景] - - [关键点2：包含具体细节和背景] - - [关键点3：包含具体细节和背景] - - [至少5个，最多8个关键点] + ## Key Information Points + - [Key Point 1: Include specific details and context] + - [Key Point 2: Include specific details and context] + - [Key Point 3: Include specific details and context] + - [At least 5, at most 8 key points] - ## 行动建议 - - [行动项1：具体、可执行，包含优先级] - - [行动项2：具体、可执行，包含优先级] - - [如果没有明确行动项，提供学习建议或思考方向] -- **深度优先**：分析要深入、全面，不要浮于表面。 -- **行动导向**：重点关注可执行的建议和下一步行动。 -- **只输出分析结果**：不要包含任何额外的寒暄、解释或引导性文字。 + ## Actionable Advice + - [Action Item 1: Specific, actionable, include priority] + - [Action Item 2: Specific, actionable, include priority] + - [If no clear action items, provide learning suggestions or thinking directions] +- **Depth First**: Analysis should be deep and comprehensive, not superficial. +- **Action Oriented**: Focus on actionable suggestions and next steps. +- **Analysis Results Only**: Do not include any extra pleasantries, explanations, or leading text. """ USER_PROMPT_GENERATE_SUMMARY = """ -请对以下长篇文本进行深度分析，提供： -1. 详细的摘要（2-3段话，全面概括文本内容） -2. 关键信息点列表（5-8个，包含具体细节） -3. 可执行的行动建议（具体、明确，包含优先级） +Please conduct a deep analysis of the following long text, providing: +1. Detailed Summary (2-3 paragraphs, comprehensive overview) +2. Key Information Points List (5-8 items, including specific details) +3. Actionable Advice (Specific, clear, including priority) --- -**用户上下文信息:** -用户姓名: {user_name} -当前日期时间: {current_date_time_str} -当前星期: {current_weekday} -当前时区: {current_timezone_str} -用户语言: {user_language} +**User Context:** +User Name: {user_name} +Current Date/Time: {current_date_time_str} +Weekday: {current_weekday} +Timezone: {current_timezone_str} +User Language: {user_language} --- -**长篇文本内容:** +**Long Text Content:** ``` {long_text_content} ``` -请进行深入、全面的分析，重点关注可执行的行动建议。 +Please conduct a deep and comprehensive analysis, focusing on actionable advice. """ # ================================================================= -# 前端 HTML 模板 (Jinja2 语法) +# Frontend HTML Template (Jinja2 Syntax) # ================================================================= HTML_TEMPLATE = """ @@ -99,7 +99,7 @@ HTML_TEMPLATE = """ - 精读:深度分析报告 + Deep Reading: Deep Analysis Report