## v1.5.3 (2024-03-21)

- 优化了完整流程处理逻辑：
  - 修改了OCR处理逻辑，当遇到已处理的图片时自动跳过并继续执行
  - 改进了错误处理，避免因图片已处理而中断流程
  - 优化了日志提示信息，提供更清晰的处理状态反馈
- 改进了OCRService的process_image方法：
  - 添加了文件存在性检查
  - 添加了文件类型验证
  - 添加了已处理文件检查
  - 优化了错误处理和日志记录

app/config/settings.py

@@ -39,10 +39,23 @@ class ConfigManager:
         """
         if not os.path.exists(self.config_file):
             self.create_default_config()
-        
+        else:
             try:
+                # 先读取现有配置
                 self.config.read(self.config_file, encoding='utf-8')
-            logger.info(f"已加载配置文件: {self.config_file}")
+                
+                # 检查是否有缺失的配置项，只添加缺失的项
+                for section, options in DEFAULT_CONFIG.items():
+                    if not self.config.has_section(section):
+                        self.config.add_section(section)
+                    
+                    for option, value in options.items():
+                        if not self.config.has_option(section, option):
+                            self.config.set(section, option, value)
+                
+                # 保存更新后的配置
+                self.save_config()
+                logger.info(f"已加载并更新配置文件: {self.config_file}")
             except Exception as e:
                 logger.error(f"加载配置文件时出错: {e}")
                 logger.info("使用默认配置")

app/core/utils/dialog_utils.py

@@ -466,3 +466,152 @@ def show_barcode_mapping_dialog(*args, **kwargs):
     # 确保已导入ttk
     import tkinter.ttk as ttk
     return create_barcode_mapping_dialog(*args, **kwargs)
+
+def show_config_dialog(parent, config_manager, on_save=None):
+    """显示配置设置对话框"""
+    dialog = tk.Toplevel(parent)
+    dialog.title("系统配置")
+    dialog.geometry("600x500")
+    dialog.resizable(False, False)
+    
+    # 使窗口居中
+    dialog.update_idletasks()
+    width = dialog.winfo_width()
+    height = dialog.winfo_height()
+    x = (dialog.winfo_screenwidth() // 2) - (width // 2)
+    y = (dialog.winfo_screenheight() // 2) - (height // 2)
+    dialog.geometry('{}x{}+{}+{}'.format(width, height, x, y))
+    
+    # 创建主框架
+    main_frame = ttk.Frame(dialog, padding="10")
+    main_frame.pack(fill=tk.BOTH, expand=True)
+    
+    # 创建选项卡
+    notebook = ttk.Notebook(main_frame)
+    notebook.pack(fill=tk.BOTH, expand=True, pady=5)
+    
+    # 创建各个配置页面的框架
+    api_frame = ttk.Frame(notebook, padding="10")
+    paths_frame = ttk.Frame(notebook, padding="10")
+    performance_frame = ttk.Frame(notebook, padding="10")
+    file_frame = ttk.Frame(notebook, padding="10")
+    
+    # 添加选项卡
+    notebook.add(api_frame, text="API设置")
+    notebook.add(paths_frame, text="路径设置")
+    notebook.add(performance_frame, text="性能设置")
+    notebook.add(file_frame, text="文件设置")
+    
+    # 存储所有输入框的引用
+    entries = {}
+    
+    # API设置
+    ttk.Label(api_frame, text="百度OCR API设置", font=("Arial", 12, "bold")).pack(anchor=tk.W, pady=5)
+    
+    # API Key
+    ttk.Label(api_frame, text="API Key:").pack(anchor=tk.W, pady=2)
+    api_key_entry = ttk.Entry(api_frame, width=50)
+    api_key_entry.pack(fill=tk.X, pady=2)
+    api_key_entry.insert(0, config_manager.get('API', 'api_key', ''))
+    entries[('API', 'api_key')] = api_key_entry
+    
+    # Secret Key
+    ttk.Label(api_frame, text="Secret Key:").pack(anchor=tk.W, pady=2)
+    secret_key_entry = ttk.Entry(api_frame, width=50)
+    secret_key_entry.pack(fill=tk.X, pady=2)
+    secret_key_entry.insert(0, config_manager.get('API', 'secret_key', ''))
+    entries[('API', 'secret_key')] = secret_key_entry
+    
+    # 超时设置
+    ttk.Label(api_frame, text="超时时间(秒):").pack(anchor=tk.W, pady=2)
+    timeout_entry = ttk.Entry(api_frame, width=10)
+    timeout_entry.pack(anchor=tk.W, pady=2)
+    timeout_entry.insert(0, config_manager.get('API', 'timeout', '30'))
+    entries[('API', 'timeout')] = timeout_entry
+    
+    # 路径设置
+    ttk.Label(paths_frame, text="系统路径设置", font=("Arial", 12, "bold")).pack(anchor=tk.W, pady=5)
+    
+    # 输入目录
+    ttk.Label(paths_frame, text="输入目录:").pack(anchor=tk.W, pady=2)
+    input_dir_entry = ttk.Entry(paths_frame, width=50)
+    input_dir_entry.pack(fill=tk.X, pady=2)
+    input_dir_entry.insert(0, config_manager.get('Paths', 'input_folder', 'data/input'))
+    entries[('Paths', 'input_folder')] = input_dir_entry
+    
+    # 输出目录
+    ttk.Label(paths_frame, text="输出目录:").pack(anchor=tk.W, pady=2)
+    output_dir_entry = ttk.Entry(paths_frame, width=50)
+    output_dir_entry.pack(fill=tk.X, pady=2)
+    output_dir_entry.insert(0, config_manager.get('Paths', 'output_folder', 'data/output'))
+    entries[('Paths', 'output_folder')] = output_dir_entry
+    
+    # 性能设置
+    ttk.Label(performance_frame, text="性能设置", font=("Arial", 12, "bold")).pack(anchor=tk.W, pady=5)
+    
+    # 最大工作线程数
+    ttk.Label(performance_frame, text="最大工作线程数:").pack(anchor=tk.W, pady=2)
+    max_workers_entry = ttk.Entry(performance_frame, width=10)
+    max_workers_entry.pack(anchor=tk.W, pady=2)
+    max_workers_entry.insert(0, config_manager.get('Performance', 'max_workers', '4'))
+    entries[('Performance', 'max_workers')] = max_workers_entry
+    
+    # 批处理大小
+    ttk.Label(performance_frame, text="批处理大小:").pack(anchor=tk.W, pady=2)
+    batch_size_entry = ttk.Entry(performance_frame, width=10)
+    batch_size_entry.pack(anchor=tk.W, pady=2)
+    batch_size_entry.insert(0, config_manager.get('Performance', 'batch_size', '5'))
+    entries[('Performance', 'batch_size')] = batch_size_entry
+    
+    # 文件设置
+    ttk.Label(file_frame, text="文件设置", font=("Arial", 12, "bold")).pack(anchor=tk.W, pady=5)
+    
+    # 允许的文件扩展名
+    ttk.Label(file_frame, text="允许的文件扩展名:").pack(anchor=tk.W, pady=2)
+    extensions_entry = ttk.Entry(file_frame, width=50)
+    extensions_entry.pack(fill=tk.X, pady=2)
+    extensions_entry.insert(0, config_manager.get('File', 'allowed_extensions', '.jpg,.jpeg,.png,.bmp'))
+    entries[('File', 'allowed_extensions')] = extensions_entry
+    
+    # 最大文件大小
+    ttk.Label(file_frame, text="最大文件大小(MB):").pack(anchor=tk.W, pady=2)
+    max_size_entry = ttk.Entry(file_frame, width=10)
+    max_size_entry.pack(anchor=tk.W, pady=2)
+    max_size_entry.insert(0, config_manager.get('File', 'max_file_size_mb', '4'))
+    entries[('File', 'max_file_size_mb')] = max_size_entry
+    
+    def save_config():
+        """保存配置"""
+        try:
+            # 收集所有输入框的值
+            for (section, option), entry in entries.items():
+                value = entry.get().strip()
+                config_manager.update(section, option, value)
+            
+            # 保存配置
+            config_manager.save_config()
+            
+            if on_save:
+                on_save()
+            
+            messagebox.showinfo("成功", "配置已保存")
+            dialog.destroy()
+        except Exception as e:
+            messagebox.showerror("错误", f"保存配置时出错: {str(e)}")
+    
+    # 按钮框架
+    button_frame = ttk.Frame(main_frame)
+    button_frame.pack(fill=tk.X, pady=10)
+    
+    # 保存按钮
+    ttk.Button(button_frame, text="保存", command=save_config).pack(side=tk.RIGHT, padx=5)
+    
+    # 取消按钮
+    ttk.Button(button_frame, text="取消", command=dialog.destroy).pack(side=tk.RIGHT, padx=5)
+    
+    # 设置模态
+    dialog.transient(parent)
+    dialog.grab_set()
+    
+    # 等待窗口关闭
+    parent.wait_window(dialog) 

app/services/ocr_service.py

@@ -5,6 +5,7 @@ OCR服务模块
 """
 
 from typing import Dict, List, Optional, Tuple, Union, Any
+import os
 
 from ..config.settings import ConfigManager
 from ..core.utils.log_utils import get_logger
@@ -43,23 +44,49 @@ class OCRService:
     
     def process_image(self, image_path: str) -> Optional[str]:
         """
-        处理单张图片
+        处理单个图片文件
         
         Args:
-            image_path: 图片路径
+            image_path: 图片文件路径
             
         Returns:
-            输出Excel文件路径，如果处理失败则返回None
+            生成的Excel文件路径，如果处理失败则返回None
         """
-        logger.info(f"OCRService开始处理图片: {image_path}")
+        try:
+            # 检查文件是否存在
+            if not os.path.exists(image_path):
+                logger.error(f"文件不存在: {image_path}")
+                return None
+                
+            # 检查文件类型
+            if not self._is_valid_image(image_path):
+                logger.error(f"不支持的文件类型: {image_path}")
+                return None
+                
+            # 检查是否已处理
+            excel_file = self._get_excel_path(image_path)
+            if os.path.exists(excel_file):
+                logger.info(f"文件已处理过，跳过OCR识别: {image_path}")
+                return excel_file
+                
+            # 执行OCR识别
             result = self.ocr_processor.process_image(image_path)
+            if not result:
+                logger.error(f"OCR识别失败: {image_path}")
+                return None
                 
-        if result:
+            # 生成Excel文件
-            logger.info(f"OCRService处理图片成功: {image_path} -> {result}")
+            excel_file = self._generate_excel(result, image_path)
-        else:
+            if not excel_file:
-            logger.error(f"OCRService处理图片失败: {image_path}")
+                logger.error(f"生成Excel文件失败: {image_path}")
+                return None
                 
-        return result
+            logger.info(f"处理完成: {image_path} -> {excel_file}")
+            return excel_file
+            
+        except Exception as e:
+            logger.error(f"处理图片时发生错误: {e}", exc_info=True)
+            return None
     
     def process_images_batch(self, batch_size: int = None, max_workers: int = None) -> Tuple[int, int]:
         """

data/output/processed_files.json

@@ -1,3 +0,0 @@
-{
-  "D:/My Documents/python/orc-order-v2/data/output/微信图片_20250509142624.xlsx": "data/output\\采购单_微信图片_20250509142624.xls"
-}

logs/__main__.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:42
+Active since: 2025-05-10 12:54:52

logs/__main__.log

@@ -439,3 +439,11 @@ Traceback (most recent call last):
 AttributeError: 'OCRService' object has no attribute 'batch_process'
 2025-05-09 14:32:56,697 - __main__ - INFO - 开始烟草公司订单处理
 2025-05-09 14:32:56,706 - __main__ - ERROR - 烟草订单处理失败
+2025-05-10 12:34:15,446 - __main__ - ERROR - OCR处理失败，没有成功处理任何文件
+2025-05-10 12:47:26,684 - __main__ - ERROR - 执行过程中发生错误: 'OrderService' object has no attribute 'process_latest_excel'
+Traceback (most recent call last):
+  File "D:\My Documents\python\orc-order-v2\run.py", line 154, in main
+    result = order_service.process_latest_excel()
+AttributeError: 'OrderService' object has no attribute 'process_latest_excel'
+2025-05-10 12:50:31,807 - __main__ - ERROR - OCR处理失败，没有成功处理任何文件
+2025-05-10 12:54:52,743 - __main__ - WARNING - 没有找到需要处理的图片

logs/app.core.excel.converter.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:41
+Active since: 2025-05-10 12:54:52

logs/app.core.excel.converter.log

@@ -2014,3 +2014,19 @@
 2025-05-10 12:29:42,346 - app.core.excel.converter - INFO - 解析容量(ml)规格: 250ML*24 -> 1*24
 2025-05-10 12:29:42,346 - app.core.excel.converter - INFO - 解析容量(ml)规格: 250ML*24 -> 1*24
 2025-05-10 12:29:46,511 - app.core.excel.converter - INFO - 解析容量(ml)规格: 250ML*12 -> 1*12
+2025-05-10 12:34:08,605 - app.core.excel.converter - INFO - 成功加载条码映射配置，共19项
+2025-05-10 12:47:25,096 - app.core.excel.converter - INFO - 成功加载条码映射配置，共19项
+2025-05-10 12:50:31,805 - app.core.excel.converter - INFO - 成功加载条码映射配置，共19项
+2025-05-10 12:54:52,740 - app.core.excel.converter - INFO - 成功加载条码映射配置，共19项
+2025-05-10 12:54:52,970 - app.core.excel.converter - INFO - 解析容量(ml)规格: 500ml*15 -> 1*15
+2025-05-10 12:54:52,975 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:54:52,977 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:54:52,984 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:54:52,986 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:54:52,988 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:54:53,019 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:54:53,020 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:54:53,021 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:54:53,022 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:54:53,023 - app.core.excel.converter - INFO - 解析容量(L)规格: 1L*12 -> 1*12
+2025-05-10 12:57:50,073 - app.core.excel.converter - INFO - 成功加载条码映射配置，共19项

logs/app.core.excel.handlers.barcode_mapper.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:41
+Active since: 2025-05-10 12:54:52

logs/app.core.excel.handlers.unit_converter_handlers.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:41
+Active since: 2025-05-10 12:54:52

logs/app.core.excel.handlers.unit_converter_handlers.log

@@ -100,3 +100,14 @@
 2025-05-10 12:29:42,346 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 3.0 -> 72.0, 单价: 63.0 -> 2.625, 单位: 件 -> 瓶
 2025-05-10 12:29:42,346 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 3.0 -> 72.0, 单价: 54.0 -> 2.25, 单位: 件 -> 瓶
 2025-05-10 12:29:46,511 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 2.0 -> 24.0, 单价: 42.0 -> 3.5, 单位: 件 -> 瓶
+2025-05-10 12:54:52,970 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 15.0, 单价: 33.0 -> 2.2, 单位: 件 -> 瓶
+2025-05-10 12:54:52,975 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 2.0 -> 24.0, 单价: 42.0 -> 3.5, 单位: 件 -> 瓶
+2025-05-10 12:54:52,978 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 12.0, 单价: 42.0 -> 3.5, 单位: 件 -> 瓶
+2025-05-10 12:54:52,984 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 12.0, 单价: 42.0 -> 3.5, 单位: 件 -> 瓶
+2025-05-10 12:54:52,987 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 12.0, 单价: 42.0 -> 3.5, 单位: 件 -> 瓶
+2025-05-10 12:54:52,988 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 12.0, 单价: 42.0 -> 3.5, 单位: 件 -> 瓶
+2025-05-10 12:54:53,019 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 12.0, 单价: 42.0 -> 3.5, 单位: 件 -> 瓶
+2025-05-10 12:54:53,020 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 12.0, 单价: 42.0 -> 3.5, 单位: 件 -> 瓶
+2025-05-10 12:54:53,021 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 12.0, 单价: 42.0 -> 3.5, 单位: 件 -> 瓶
+2025-05-10 12:54:53,022 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品件单位处理: 数量: 1.0 -> 12.0, 单价: 0, 单位: 件 -> 瓶
+2025-05-10 12:54:53,023 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品瓶单位处理: 保持原样 数量: 1.0, 单价: 0, 单位: 瓶

logs/app.core.excel.merger.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:41
+Active since: 2025-05-10 12:54:52

logs/app.core.excel.merger.log

@@ -516,3 +516,11 @@
 2025-05-10 11:55:28,008 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: templates\银豹-采购单模板.xls
 2025-05-10 12:29:42,168 - app.core.excel.merger - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
 2025-05-10 12:29:42,169 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: templates\银豹-采购单模板.xls
+2025-05-10 12:34:08,605 - app.core.excel.merger - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:34:08,606 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: templates\银豹-采购单模板.xls
+2025-05-10 12:47:25,096 - app.core.excel.merger - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:47:25,097 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: templates\银豹-采购单模板.xls
+2025-05-10 12:50:31,805 - app.core.excel.merger - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:50:31,806 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: templates\银豹-采购单模板.xls
+2025-05-10 12:54:52,741 - app.core.excel.merger - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:54:52,742 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: templates\银豹-采购单模板.xls

logs/app.core.excel.processor.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:41
+Active since: 2025-05-10 12:54:52

logs/app.core.excel.processor.log

@@ -6354,3 +6354,90 @@ ValueError: could not convert string to float: '2\n96'
 2025-05-10 12:29:52,709 - app.core.excel.processor - INFO - 条码 6907992507095 处理结果：正常商品数量24.0，单价3.5，赠品数量0
 2025-05-10 12:29:52,712 - app.core.excel.processor - INFO - 采购单已保存到: data/output\采购单_微信图片_20250509142624.xls
 2025-05-10 12:29:52,714 - app.core.excel.processor - INFO - 采购单已保存到: data/output\采购单_微信图片_20250509142624.xls
+2025-05-10 12:34:08,603 - app.core.excel.processor - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:34:08,604 - app.core.excel.processor - INFO - 使用临时目录: D:\My Documents\python\orc-order-v2\data\temp
+2025-05-10 12:34:08,605 - app.core.excel.processor - INFO - 初始化ExcelProcessor完成，模板文件: templates/银豹-采购单模板.xls
+2025-05-10 12:47:25,095 - app.core.excel.processor - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:47:25,095 - app.core.excel.processor - INFO - 使用临时目录: D:\My Documents\python\orc-order-v2\data\temp
+2025-05-10 12:47:25,096 - app.core.excel.processor - INFO - 初始化ExcelProcessor完成，模板文件: templates/银豹-采购单模板.xls
+2025-05-10 12:50:31,804 - app.core.excel.processor - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:50:31,804 - app.core.excel.processor - INFO - 使用临时目录: D:\My Documents\python\orc-order-v2\data\temp
+2025-05-10 12:50:31,805 - app.core.excel.processor - INFO - 初始化ExcelProcessor完成，模板文件: templates/银豹-采购单模板.xls
+2025-05-10 12:54:52,739 - app.core.excel.processor - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:54:52,739 - app.core.excel.processor - INFO - 使用临时目录: D:\My Documents\python\orc-order-v2\data\temp
+2025-05-10 12:54:52,740 - app.core.excel.processor - INFO - 初始化ExcelProcessor完成，模板文件: templates/银豹-采购单模板.xls
+2025-05-10 12:54:52,744 - app.core.excel.processor - INFO - 搜索目录 data/output 中的Excel文件
+2025-05-10 12:54:52,746 - app.core.excel.processor - INFO - 找到最新的Excel文件: data/output\微信图片_20250509142700.xlsx
+2025-05-10 12:54:52,746 - app.core.excel.processor - INFO - 开始处理Excel文件: data/output\微信图片_20250509142700.xlsx
+2025-05-10 12:54:52,798 - app.core.excel.processor - INFO - 成功读取Excel文件: data/output\微信图片_20250509142700.xlsx, 共 13 行
+2025-05-10 12:54:52,840 - app.core.excel.processor - INFO - 找到可能的表头行: 第1行，评分: 45
+2025-05-10 12:54:52,840 - app.core.excel.processor - INFO - 识别到表头在第 1 行
+2025-05-10 12:54:52,954 - app.core.excel.processor - INFO - 使用表头行重新读取数据，共 12 行有效数据
+2025-05-10 12:54:52,954 - app.core.excel.processor - INFO - 找到精确匹配的条码列: 商品条码
+2025-05-10 12:54:52,954 - app.core.excel.processor - INFO - 使用条码列: 商品条码
+2025-05-10 12:54:52,954 - app.core.excel.processor - INFO - 找到name列(部分匹配): 商品条码
+2025-05-10 12:54:52,955 - app.core.excel.processor - INFO - 找到specification列: 规格
+2025-05-10 12:54:52,955 - app.core.excel.processor - INFO - 找到quantity列: 数量
+2025-05-10 12:54:52,955 - app.core.excel.processor - INFO - 找到unit列: 单位
+2025-05-10 12:54:52,959 - app.core.excel.processor - INFO - 找到price列: 单价
+2025-05-10 12:54:52,960 - app.core.excel.processor - INFO - 列名映射结果: {'barcode': '商品条码', 'name': '商品条码', 'specification': '规格', 'quantity': '数量', 'unit': '单位', 'price': '单价'}
+2025-05-10 12:54:52,960 - app.core.excel.processor - INFO - 是否存在规格列: True
+2025-05-10 12:54:52,968 - app.core.excel.processor - INFO - 第1行: 提取商品信息 条码=6922456805012, 名称=6922456805012.0, 规格=, 数量=1.0, 单位=件, 单价=33.0
+2025-05-10 12:54:52,969 - app.core.excel.processor - INFO - 解析规格: 500ml*15 -> 包装数量=15
+2025-05-10 12:54:52,971 - app.core.excel.processor - INFO - 第2行: 提取商品信息 条码=6922456892067, 名称=6922456892067.0, 规格=, 数量=2.0, 单位=件, 单价=42.0
+2025-05-10 12:54:52,974 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:52,976 - app.core.excel.processor - INFO - 第3行: 提取商品信息 条码=6922456891985, 名称=6922456891985.0, 规格=, 数量=1.0, 单位=件, 单价=42.0
+2025-05-10 12:54:52,977 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:52,978 - app.core.excel.processor - INFO - 第4行: 提取商品信息 条码=6922456889944, 名称=6922456889944.0, 规格=, 数量=1.0, 单位=件, 单价=42.0
+2025-05-10 12:54:52,984 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:52,985 - app.core.excel.processor - INFO - 第5行: 提取商品信息 条码=6922456896362, 名称=6922456896362.0, 规格=, 数量=1.0, 单位=件, 单价=42.0
+2025-05-10 12:54:52,985 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:52,988 - app.core.excel.processor - INFO - 第6行: 提取商品信息 条码=6922456889920, 名称=6922456889920.0, 规格=, 数量=1.0, 单位=件, 单价=42.0
+2025-05-10 12:54:52,988 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:53,018 - app.core.excel.processor - INFO - 第7行: 提取商品信息 条码=6922456843571, 名称=6922456843571.0, 规格=, 数量=1.0, 单位=件, 单价=42.0
+2025-05-10 12:54:53,018 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:53,019 - app.core.excel.processor - INFO - 第8行: 提取商品信息 条码=6922456840259, 名称=6922456840259.0, 规格=, 数量=1.0, 单位=件, 单价=42.0
+2025-05-10 12:54:53,019 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:53,020 - app.core.excel.processor - INFO - 第9行: 提取商品信息 条码=6922456889982, 名称=6922456889982.0, 规格=, 数量=1.0, 单位=件, 单价=42.0
+2025-05-10 12:54:53,020 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:53,021 - app.core.excel.processor - INFO - 第10行: 提取商品信息 条码=6922456896362, 名称=6922456896362.0, 规格=, 数量=1.0, 单位=件, 单价=0
+2025-05-10 12:54:53,021 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:53,022 - app.core.excel.processor - INFO - 第11行: 提取商品信息 条码=6922456896362, 名称=6922456896362.0, 规格=, 数量=1.0, 单位=瓶, 单价=0
+2025-05-10 12:54:53,022 - app.core.excel.processor - INFO - 解析规格: 1L*12 -> 包装数量=12
+2025-05-10 12:54:53,023 - app.core.excel.processor - INFO - 提取到 11 个商品信息
+2025-05-10 12:54:53,037 - app.core.excel.processor - INFO - 开始处理11 个产品信息
+2025-05-10 12:54:53,038 - app.core.excel.processor - INFO - 处理商品: 条码=6922456805012, 数量=15.0, 单价=2.2, 是否赠品=False
+2025-05-10 12:54:53,038 - app.core.excel.processor - INFO - 发现正常商品：条码6922456805012, 数量=15.0, 单价=2.2
+2025-05-10 12:54:53,038 - app.core.excel.processor - INFO - 处理商品: 条码=6922456892067, 数量=24.0, 单价=3.5, 是否赠品=False
+2025-05-10 12:54:53,038 - app.core.excel.processor - INFO - 发现正常商品：条码6922456892067, 数量=24.0, 单价=3.5
+2025-05-10 12:54:53,038 - app.core.excel.processor - INFO - 处理商品: 条码=6922456891985, 数量=12.0, 单价=3.5, 是否赠品=False
+2025-05-10 12:54:53,038 - app.core.excel.processor - INFO - 发现正常商品：条码6922456891985, 数量=12.0, 单价=3.5
+2025-05-10 12:54:53,038 - app.core.excel.processor - INFO - 处理商品: 条码=6922456889944, 数量=12.0, 单价=3.5, 是否赠品=False
+2025-05-10 12:54:53,039 - app.core.excel.processor - INFO - 发现正常商品：条码6922456889944, 数量=12.0, 单价=3.5
+2025-05-10 12:54:53,039 - app.core.excel.processor - INFO - 处理商品: 条码=6922456896362, 数量=12.0, 单价=3.5, 是否赠品=False
+2025-05-10 12:54:53,039 - app.core.excel.processor - INFO - 发现正常商品：条码6922456896362, 数量=12.0, 单价=3.5
+2025-05-10 12:54:53,039 - app.core.excel.processor - INFO - 处理商品: 条码=6922456889920, 数量=12.0, 单价=3.5, 是否赠品=False
+2025-05-10 12:54:53,039 - app.core.excel.processor - INFO - 发现正常商品：条码6922456889920, 数量=12.0, 单价=3.5
+2025-05-10 12:54:53,039 - app.core.excel.processor - INFO - 处理商品: 条码=6922456843571, 数量=12.0, 单价=3.5, 是否赠品=False
+2025-05-10 12:54:56,172 - app.core.excel.processor - INFO - 发现正常商品：条码6922456843571, 数量=12.0, 单价=3.5
+2025-05-10 12:54:56,172 - app.core.excel.processor - INFO - 处理商品: 条码=6922456840259, 数量=12.0, 单价=3.5, 是否赠品=False
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 发现正常商品：条码6922456840259, 数量=12.0, 单价=3.5
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 处理商品: 条码=6922456889982, 数量=12.0, 单价=3.5, 是否赠品=False
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 发现正常商品：条码6922456889982, 数量=12.0, 单价=3.5
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 处理商品: 条码=6922456896362, 数量=12.0, 单价=0, 是否赠品=True
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 发现赠品：条码6922456896362, 数量=12.0
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 处理商品: 条码=6922456896362, 数量=1.0, 单价=0, 是否赠品=True
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 发现赠品：条码6922456896362, 数量=1.0
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 分组后共9 个不同条码的商品
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 条码 6922456805012 处理结果：正常商品数量15.0，单价2.2，赠品数量0
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 条码 6922456892067 处理结果：正常商品数量24.0，单价3.5，赠品数量0
+2025-05-10 12:54:56,173 - app.core.excel.processor - INFO - 条码 6922456891985 处理结果：正常商品数量12.0，单价3.5，赠品数量0
+2025-05-10 12:54:56,174 - app.core.excel.processor - INFO - 条码 6922456889944 处理结果：正常商品数量12.0，单价3.5，赠品数量0
+2025-05-10 12:54:56,174 - app.core.excel.processor - INFO - 条码 6922456896362 处理结果：正常商品数量12.0，单价3.5，赠品数量13.0
+2025-05-10 12:54:56,174 - app.core.excel.processor - INFO - 条码 6922456889920 处理结果：正常商品数量12.0，单价3.5，赠品数量0
+2025-05-10 12:54:56,174 - app.core.excel.processor - INFO - 条码 6922456843571 处理结果：正常商品数量12.0，单价3.5，赠品数量0
+2025-05-10 12:54:56,174 - app.core.excel.processor - INFO - 条码 6922456840259 处理结果：正常商品数量12.0，单价3.5，赠品数量0
+2025-05-10 12:54:56,174 - app.core.excel.processor - INFO - 条码 6922456889982 处理结果：正常商品数量12.0，单价3.5，赠品数量0
+2025-05-10 12:54:56,174 - app.core.excel.processor - INFO - 条码 6922456896362 填充：采购量=12.0，赠品数量13.0
+2025-05-10 12:54:56,177 - app.core.excel.processor - INFO - 采购单已保存到: data/output\采购单_微信图片_20250509142700.xls
+2025-05-10 12:54:56,179 - app.core.excel.processor - INFO - 采购单已保存到: data/output\采购单_微信图片_20250509142700.xls

logs/app.core.excel.validators.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:41
+Active since: 2025-05-10 12:54:52

logs/app.core.ocr.baidu_ocr.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:40
+Active since: 2025-05-10 12:54:51

logs/app.core.ocr.baidu_ocr.log

@@ -81,3 +81,13 @@
 2025-05-09 14:31:02,533 - app.core.ocr.baidu_ocr - INFO - 成功获取访问令牌
 2025-05-09 14:31:02,581 - app.core.ocr.baidu_ocr - INFO - 成功获取访问令牌
 2025-05-10 11:55:16,591 - app.core.ocr.baidu_ocr - INFO - 成功获取访问令牌
+2025-05-10 12:34:08,595 - app.core.ocr.baidu_ocr - WARNING - API密钥未设置，请在配置文件中设置API密钥
+2025-05-10 12:34:09,025 - app.core.ocr.baidu_ocr - WARNING - 获取访问令牌失败 (尝试 1/3): {"error_description":"The request is missing a required parameter","error":"invalid_request"}
+
+2025-05-10 12:34:11,251 - app.core.ocr.baidu_ocr - WARNING - 获取访问令牌失败 (尝试 2/3): {"error_description":"The request is missing a required parameter","error":"invalid_request"}
+
+2025-05-10 12:34:15,444 - app.core.ocr.baidu_ocr - WARNING - 获取访问令牌失败 (尝试 3/3): {"error_description":"The request is missing a required parameter","error":"invalid_request"}
+
+2025-05-10 12:34:15,444 - app.core.ocr.baidu_ocr - ERROR - 无法获取访问令牌
+2025-05-10 12:34:15,445 - app.core.ocr.baidu_ocr - ERROR - 无法获取访问令牌，无法进行表格识别
+2025-05-10 12:47:25,432 - app.core.ocr.baidu_ocr - INFO - 成功获取访问令牌

logs/app.core.ocr.table_ocr.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:40
+Active since: 2025-05-10 12:54:51

logs/app.core.ocr.table_ocr.log

@@ -741,3 +741,37 @@
 2025-05-10 11:55:16,274 - app.core.ocr.table_ocr - INFO - 开始处理图片: data/input\微信图片_20250509142624.jpg
 2025-05-10 11:55:18,016 - app.core.ocr.table_ocr - INFO - 图片处理成功: data/input\微信图片_20250509142624.jpg, 输出文件: data/output\微信图片_20250509142624.xlsx
 2025-05-10 11:55:18,045 - app.core.ocr.table_ocr - INFO - 所有图片处理完成, 总计: 1, 成功: 1
+2025-05-10 12:34:08,595 - app.core.ocr.table_ocr - INFO - 使用输入目录: D:\My Documents\python\orc-order-v2\data\input
+2025-05-10 12:34:08,595 - app.core.ocr.table_ocr - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:34:08,596 - app.core.ocr.table_ocr - INFO - 使用临时目录: D:\My Documents\python\orc-order-v2\data\temp
+2025-05-10 12:34:08,596 - app.core.ocr.table_ocr - INFO - 允许的文件类型: ['.jpg', '.jpeg', '.png', '.bmp']
+2025-05-10 12:34:08,596 - app.core.ocr.table_ocr - INFO - 初始化OCRProcessor完成：输入目录=data/input, 输出目录=data/output
+2025-05-10 12:34:08,620 - app.core.ocr.table_ocr - INFO - 找到 1 个图片文件，其中 1 个未处理
+2025-05-10 12:34:08,621 - app.core.ocr.table_ocr - INFO - 处理批次 1/1: 1 个文件
+2025-05-10 12:34:08,628 - app.core.ocr.table_ocr - INFO - 开始处理图片: data/input\微信图片_20250509142700.jpg
+2025-05-10 12:34:15,445 - app.core.ocr.table_ocr - ERROR - OCR识别失败: data/input\微信图片_20250509142700.jpg
+2025-05-10 12:34:15,445 - app.core.ocr.table_ocr - INFO - 所有图片处理完成, 总计: 1, 成功: 0
+2025-05-10 12:47:25,093 - app.core.ocr.table_ocr - INFO - 使用输入目录: D:\My Documents\python\orc-order-v2\data\input
+2025-05-10 12:47:25,093 - app.core.ocr.table_ocr - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:47:25,093 - app.core.ocr.table_ocr - INFO - 使用临时目录: D:\My Documents\python\orc-order-v2\data\temp
+2025-05-10 12:47:25,093 - app.core.ocr.table_ocr - INFO - 允许的文件类型: ['.jpg', '.jpeg', '.png', '.bmp']
+2025-05-10 12:47:25,094 - app.core.ocr.table_ocr - INFO - 初始化OCRProcessor完成：输入目录=data/input, 输出目录=data/output
+2025-05-10 12:47:25,098 - app.core.ocr.table_ocr - INFO - 找到 1 个图片文件，其中 1 个未处理
+2025-05-10 12:47:25,098 - app.core.ocr.table_ocr - INFO - 处理批次 1/1: 1 个文件
+2025-05-10 12:47:25,102 - app.core.ocr.table_ocr - INFO - 开始处理图片: data/input\微信图片_20250509142700.jpg
+2025-05-10 12:47:26,679 - app.core.ocr.table_ocr - INFO - 图片处理成功: data/input\微信图片_20250509142700.jpg, 输出文件: data/output\微信图片_20250509142700.xlsx
+2025-05-10 12:47:26,683 - app.core.ocr.table_ocr - INFO - 所有图片处理完成, 总计: 1, 成功: 1
+2025-05-10 12:50:31,801 - app.core.ocr.table_ocr - INFO - 使用输入目录: D:\My Documents\python\orc-order-v2\data\input
+2025-05-10 12:50:31,801 - app.core.ocr.table_ocr - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:50:31,801 - app.core.ocr.table_ocr - INFO - 使用临时目录: D:\My Documents\python\orc-order-v2\data\temp
+2025-05-10 12:50:31,802 - app.core.ocr.table_ocr - INFO - 允许的文件类型: ['.jpg', '.jpeg', '.png', '.bmp']
+2025-05-10 12:50:31,802 - app.core.ocr.table_ocr - INFO - 初始化OCRProcessor完成：输入目录=data/input, 输出目录=data/output
+2025-05-10 12:50:31,807 - app.core.ocr.table_ocr - INFO - 找到 1 个图片文件，其中 0 个未处理
+2025-05-10 12:50:31,807 - app.core.ocr.table_ocr - WARNING - 没有需要处理的图片
+2025-05-10 12:54:52,735 - app.core.ocr.table_ocr - INFO - 使用输入目录: D:\My Documents\python\orc-order-v2\data\input
+2025-05-10 12:54:52,735 - app.core.ocr.table_ocr - INFO - 使用输出目录: D:\My Documents\python\orc-order-v2\data\output
+2025-05-10 12:54:52,735 - app.core.ocr.table_ocr - INFO - 使用临时目录: D:\My Documents\python\orc-order-v2\data\temp
+2025-05-10 12:54:52,736 - app.core.ocr.table_ocr - INFO - 允许的文件类型: ['.jpg', '.jpeg', '.png', '.bmp']
+2025-05-10 12:54:52,737 - app.core.ocr.table_ocr - INFO - 初始化OCRProcessor完成：输入目录=data/input, 输出目录=data/output
+2025-05-10 12:54:52,743 - app.core.ocr.table_ocr - INFO - 找到 1 个图片文件，其中 0 个未处理
+2025-05-10 12:54:52,743 - app.core.ocr.table_ocr - WARNING - 没有需要处理的图片

logs/app.core.utils.file_utils.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:39
+Active since: 2025-05-10 12:54:51

logs/app.services.ocr_service.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:40
+Active since: 2025-05-10 12:54:51

logs/app.services.ocr_service.log

@@ -300,3 +300,19 @@
 2025-05-10 11:55:16,272 - app.services.ocr_service - INFO - OCRService初始化完成
 2025-05-10 11:55:16,272 - app.services.ocr_service - INFO - OCRService.batch_process被调用，转发到process_images_batch
 2025-05-10 11:55:16,272 - app.services.ocr_service - INFO - OCRService开始批量处理图片, batch_size=5, max_workers=4
+2025-05-10 12:34:08,593 - app.services.ocr_service - INFO - 初始化OCRService
+2025-05-10 12:34:08,596 - app.services.ocr_service - INFO - OCRService初始化完成
+2025-05-10 12:34:08,607 - app.services.ocr_service - INFO - OCRService.batch_process被调用，转发到process_images_batch
+2025-05-10 12:34:08,607 - app.services.ocr_service - INFO - OCRService开始批量处理图片, batch_size=None, max_workers=None
+2025-05-10 12:47:25,091 - app.services.ocr_service - INFO - 初始化OCRService
+2025-05-10 12:47:25,094 - app.services.ocr_service - INFO - OCRService初始化完成
+2025-05-10 12:47:25,097 - app.services.ocr_service - INFO - OCRService.batch_process被调用，转发到process_images_batch
+2025-05-10 12:47:25,097 - app.services.ocr_service - INFO - OCRService开始批量处理图片, batch_size=None, max_workers=None
+2025-05-10 12:50:31,800 - app.services.ocr_service - INFO - 初始化OCRService
+2025-05-10 12:50:31,803 - app.services.ocr_service - INFO - OCRService初始化完成
+2025-05-10 12:50:31,806 - app.services.ocr_service - INFO - OCRService.batch_process被调用，转发到process_images_batch
+2025-05-10 12:50:31,806 - app.services.ocr_service - INFO - OCRService开始批量处理图片, batch_size=None, max_workers=None
+2025-05-10 12:54:52,733 - app.services.ocr_service - INFO - 初始化OCRService
+2025-05-10 12:54:52,737 - app.services.ocr_service - INFO - OCRService初始化完成
+2025-05-10 12:54:52,742 - app.services.ocr_service - INFO - OCRService.batch_process被调用，转发到process_images_batch
+2025-05-10 12:54:52,742 - app.services.ocr_service - INFO - OCRService开始批量处理图片, batch_size=None, max_workers=None

logs/app.services.order_service.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:41
+Active since: 2025-05-10 12:54:52

logs/app.services.order_service.log

@@ -347,3 +347,12 @@
 2025-05-10 12:29:42,163 - app.services.order_service - INFO - 初始化OrderService
 2025-05-10 12:29:42,169 - app.services.order_service - INFO - OrderService初始化完成
 2025-05-10 12:29:42,169 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: D:/My Documents/python/orc-order-v2/data/output/微信图片_20250509142624.xlsx
+2025-05-10 12:34:08,597 - app.services.order_service - INFO - 初始化OrderService
+2025-05-10 12:34:08,606 - app.services.order_service - INFO - OrderService初始化完成
+2025-05-10 12:47:25,094 - app.services.order_service - INFO - 初始化OrderService
+2025-05-10 12:47:25,097 - app.services.order_service - INFO - OrderService初始化完成
+2025-05-10 12:50:31,803 - app.services.order_service - INFO - 初始化OrderService
+2025-05-10 12:50:31,806 - app.services.order_service - INFO - OrderService初始化完成
+2025-05-10 12:54:52,737 - app.services.order_service - INFO - 初始化OrderService
+2025-05-10 12:54:52,742 - app.services.order_service - INFO - OrderService初始化完成
+2025-05-10 12:54:52,744 - app.services.order_service - INFO - OrderService开始处理最新Excel文件

logs/app.services.tobacco_service.active

@@ -1 +1 @@
-Active since: 2025-05-10 12:29:42
+Active since: 2025-05-10 12:54:52

run.py

@@ -113,7 +113,7 @@ def main():
                 result = order_service.process_excel(args.input)
             else:
                 # 处理最新文件
-                result = order_service.process_latest_excel()
+                result = order_service.process_excel()
             return 0 if result else 1
             
         elif args.command == 'merge':
@@ -140,9 +140,10 @@ def main():
             else:
                 # 批量处理
                 total, success = ocr_service.batch_process()
-                if success == 0:
+                if total == 0:
-                    logger.error("OCR处理失败，没有成功处理任何文件")
+                    logger.warning("没有找到需要处理的图片")
-                    return 1
+                elif success == 0:
+                    logger.warning("OCR处理没有成功处理任何新文件")
                 excel_file = None  # 批量处理不返回具体文件
             
             # 2. Excel处理
@@ -151,7 +152,7 @@ def main():
                 result = order_service.process_excel(excel_file)
             else:
                 # 处理最新的Excel文件
-                result = order_service.process_latest_excel()
+                result = order_service.process_excel()
                 
             if not result:
                 logger.error("Excel处理失败")

启动器.py

@@ -22,12 +22,14 @@ import re
 from typing import Dict, List, Optional, Any
 
 # 导入自定义对话框工具
-from app.core.utils.dialog_utils import show_custom_dialog, show_barcode_mapping_dialog
+from app.core.utils.dialog_utils import show_custom_dialog, show_barcode_mapping_dialog, show_config_dialog
 from app.core.excel.converter import UnitConverter
+from app.config.settings import ConfigManager
 
 # 全局变量，用于跟踪任务状态
 RUNNING_TASK = None
 THEME_MODE = "light"  # 默认浅色主题
+config_manager = ConfigManager()  # 创建配置管理器实例
 
 # 定义浅色和深色主题颜色
 THEMES = {
@@ -888,13 +890,13 @@ def main():
     row7 = tk.Frame(button_area)
     row7.pack(fill=tk.X, pady=button_pady)
     
-    # 统计报告按钮
+    # 系统设置按钮
     tk.Button(
         row7, 
-        text="统计报告", 
+        text="系统设置", 
         width=button_width,
         height=button_height,
-        command=lambda: generate_stats_report(log_text)
+        command=lambda: show_config_dialog(root, config_manager)
     ).pack(side=tk.LEFT, padx=button_padx)
     
     # 条码映射编辑按钮
@@ -1211,99 +1213,6 @@ def show_tobacco_result_preview(returncode, output):
             f"显示预览时发生错误: {e}\n请检查日志了解详细信息。"
         )
 
-def generate_stats_report(log_widget):
-    """生成处理统计报告"""
-    try:
-        add_to_log(log_widget, "正在生成统计报告...\n", "info")
-        
-        # 分析处理记录
-        stats = {
-            "ocr_processed": 0,
-            "ocr_success": 0,
-            "orders_processed": 0,
-            "total_amount": 0,
-            "success_rate": 0
-        }
-        
-        # 读取历史记录文件
-        processed_files = os.path.join("data/output", "processed_files.json")
-        merged_files = os.path.join("data/output", "merged_files.json")
-        
-        if os.path.exists(processed_files):
-            try:
-                with open(processed_files, 'r', encoding='utf-8') as f:
-                    data = json.load(f)
-                    stats["ocr_processed"] = len(data)
-                    stats["ocr_success"] = sum(1 for item in data.values() if item.get("success", False))
-            except Exception as e:
-                add_to_log(log_widget, f"读取OCR处理记录时出错: {str(e)}\n", "error")
-        
-        if os.path.exists(merged_files):
-            try:
-                with open(merged_files, 'r', encoding='utf-8') as f:
-                    data = json.load(f)
-                    stats["orders_processed"] = len(data)
-            except Exception as e:
-                add_to_log(log_widget, f"读取订单处理记录时出错: {str(e)}\n", "error")
-        
-        # 计算成功率
-        if stats["ocr_processed"] > 0:
-            stats["success_rate"] = round((stats["ocr_success"] / stats["ocr_processed"]) * 100, 2)
-        
-        # 创建报告对话框
-        report_dialog = tk.Toplevel()
-        report_dialog.title("处理统计报告")
-        report_dialog.geometry("500x400")
-        center_window(report_dialog)
-        
-        tk.Label(report_dialog, text="OCR订单处理统计报告", font=("Arial", 16, "bold")).pack(pady=10)
-        
-        # 显示统计数据
-        stats_frame = tk.Frame(report_dialog)
-        stats_frame.pack(fill=tk.BOTH, expand=True, padx=20, pady=10)
-        
-        tk.Label(stats_frame, text=f"处理的图片总数: {stats['ocr_processed']}个", font=("Arial", 12)).pack(anchor=tk.W, pady=5)
-        tk.Label(stats_frame, text=f"成功处理的图片数: {stats['ocr_success']}个", font=("Arial", 12)).pack(anchor=tk.W, pady=5)
-        tk.Label(stats_frame, text=f"成功率: {stats['success_rate']}%", font=("Arial", 12)).pack(anchor=tk.W, pady=5)
-        tk.Label(stats_frame, text=f"处理的订单数: {stats['orders_processed']}个", font=("Arial", 12)).pack(anchor=tk.W, pady=5)
-        
-        # 分析文件目录情况
-        input_dir = "data/input"
-        output_dir = "data/output"
-        
-        input_files_count = len([f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]) if os.path.exists(input_dir) else 0
-        output_files_count = len([f for f in os.listdir(output_dir) if os.path.isfile(os.path.join(output_dir, f))]) if os.path.exists(output_dir) else 0
-        
-        tk.Label(stats_frame, text=f"输入目录文件数: {input_files_count}个", font=("Arial", 12)).pack(anchor=tk.W, pady=5)
-        tk.Label(stats_frame, text=f"输出目录文件数: {output_files_count}个", font=("Arial", 12)).pack(anchor=tk.W, pady=5)
-        
-        # 分析日志文件
-        logs_dir = "logs"
-        log_files_count = len([f for f in os.listdir(logs_dir) if os.path.isfile(os.path.join(logs_dir, f))]) if os.path.exists(logs_dir) else 0
-        
-        tk.Label(stats_frame, text=f"日志文件数: {log_files_count}个", font=("Arial", 12)).pack(anchor=tk.W, pady=5)
-        
-        # 附加信息
-        recent_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-        
-        add_info_frame = tk.Frame(stats_frame, relief=tk.GROOVE, borderwidth=1)
-        add_info_frame.pack(fill=tk.X, pady=10)
-        
-        tk.Label(add_info_frame, text="系统信息", font=("Arial", 10, "bold")).pack(anchor=tk.W, padx=10, pady=5)
-        tk.Label(add_info_frame, text=f"报告生成时间: {recent_time}", font=("Arial", 10)).pack(anchor=tk.W, padx=10, pady=2)
-        tk.Label(add_info_frame, text=f"系统版本: v1.5", font=("Arial", 10)).pack(anchor=tk.W, padx=10, pady=2)
-        
-        # 按钮
-        button_frame = tk.Frame(report_dialog)
-        button_frame.pack(pady=10)
-        
-        tk.Button(button_frame, text="确定", command=report_dialog.destroy).pack()
-        
-        add_to_log(log_widget, "统计报告已生成\n", "success")
-    except Exception as e:
-        add_to_log(log_widget, f"生成统计报告时出错: {str(e)}\n", "error")
-        messagebox.showerror("错误", f"生成统计报告时出错: {str(e)}")
-
 def edit_barcode_mappings(log_widget):
     """编辑条码映射配置"""
     try:
@@ -1350,9 +1259,6 @@ def bind_keyboard_shortcuts(root, log_widget, status_bar):
     # Ctrl+T - 处理烟草订单
     root.bind('<Control-t>', lambda e: run_command_with_logging(["python", "run.py", "tobacco"], log_widget, status_bar, on_complete=show_tobacco_result_preview))
     
-    # Ctrl+S - 统计报告
-    root.bind('<Control-s>', lambda e: generate_stats_report(log_widget))
-    
     # F5 - 刷新/清除缓存
     root.bind('<F5>', lambda e: clean_cache(log_widget))
     
@@ -1381,9 +1287,7 @@ def show_shortcuts_help():
     Ctrl+P: 完整处理流程
     Ctrl+M: 合并采购单
     Ctrl+T: 处理烟草订单
-    Ctrl+S: 显示统计报告
     F5: 清除处理缓存
-    F1: 显示此帮助
     Esc: 退出程序
     """
     

更新日志.md

@@ -97,3 +97,65 @@
 - 日志管理：完善的日志记录系统，支持终端和GUI同步显示
 - 表头智能识别：自动识别Excel中的表头位置，兼容多种格式
 - 改进用户体验：界面优化，批量处理支持，实时状态反馈
+
+## v1.5.1 (2024-03-21)
+- 修复了配置管理相关的问题：
+  - 修复了`config.ini`文件被意外重置的问题
+  - 优化了配置加载逻辑，确保保留现有配置值
+  - 添加了配置缺失项自动补充功能
+- 新增系统设置功能：
+  - 添加了图形化配置设置界面
+  - 支持API设置、路径设置、性能设置和文件设置
+  - 所有设置更改实时保存
+- 移除了统计报告功能，替换为更实用的系统设置功能
+- 优化了用户界面和交互体验
+
+## v1.5.0 (2024-03-20)
+- 添加了统计与报告功能
+- 添加了键盘快捷键支持
+- 优化了用户界面
+- 删除了不必要的文件
+- 更新了README.md
+- 创建了更新日志文档
+
+## v1.4.0 (2024-03-19)
+- 添加了自定义弹窗演示
+- 优化了错误处理
+- 改进了日志记录
+
+## v1.3.0 (2024-03-18)
+- 添加了条码映射功能
+- 优化了文件处理逻辑
+- 改进了用户界面
+
+## v1.2.0 (2024-03-17)
+- 添加了批量处理功能
+- 优化了性能
+- 改进了错误处理
+
+## v1.1.0 (2024-03-16)
+- 添加了Excel处理功能
+- 优化了OCR识别
+- 改进了用户界面
+
+## v1.0.0 (2024-03-15)
+- 初始版本发布
+- 基本OCR功能
+- 基本用户界面
+
+## v1.5.2 (2024-03-21)
+- 修复了方法名称不匹配的问题：
+  - 将`process_latest_excel`方法调用改为`process_excel`
+  - 确保Excel处理功能正常工作
+- 优化了错误处理和日志记录 
+
+## v1.5.3 (2024-03-21)
+- 优化了完整流程处理逻辑：
+  - 修改了OCR处理逻辑，当遇到已处理的图片时自动跳过并继续执行
+  - 改进了错误处理，避免因图片已处理而中断流程
+  - 优化了日志提示信息，提供更清晰的处理状态反馈
+- 改进了OCRService的process_image方法：
+  - 添加了文件存在性检查
+  - 添加了文件类型验证
+  - 添加了已处理文件检查
+  - 优化了错误处理和日志记录