@

feat: 商品记忆库 — 从OCR结果学习，逐步替代OCR识别

- 扩展 product_db.py: schema迁移(specification/source/confidence/usage_count/last_seen)
  + 学习逻辑(learn_from_product)、置信度系统、批量查询、导入导出、云端同步
- 注入处理管线: processor.py 在提取产品后调用 _apply_memory() 用记忆补全OCR
  + _is_spec_suspicious() 检测OCR规格质量，处理完后自动学习
- order_service.py 创建共享 ProductDatabase 实例
- dialog_utils.py 新增商品记忆库云端同步条目
- 新建 memory_editor.py: Treeview查看/编辑/搜索/删除/重新导入
- main_window.py 系统设置区新增"商品记忆库"按钮
- build_exe.py 添加 memory_editor 到 hidden_imports
@

app/core/db/product_db.py

@@ -1,11 +1,18 @@
 """
-商品资料 SQLite 数据库
+商品资料 SQLite 数据库 + 商品记忆库
 
-将商品资料 (条码/名称/进货价/单位) 存储在 SQLite 中，
-支持从 Excel 自动导入和按条码快速查询。
+将商品资料 (条码/名称/进货价/单位/规格) 存储在 SQLite 中，
+支持从 Excel 自动导入、按条码快速查询、以及从 OCR 处理结果中学习。
+
+记忆库功能：
+- 处理完每单后自动学习商品数据
+- 下次处理时用记忆库补全 OCR 缺失/错误的字段
+- 通过置信度系统控制数据质量
+- 支持云端同步
 """
 
 import os
+import json
 import sqlite3
 from datetime import datetime
 from typing import Dict, List, Optional
@@ -20,7 +27,7 @@ logger = get_logger(__name__)
 
 
 class ProductDatabase:
-    """商品资料 SQLite 数据库"""
+    """商品资料 SQLite 数据库 + 商品记忆库"""
 
     SCHEMA = """
     CREATE TABLE IF NOT EXISTS products (
@@ -28,10 +35,24 @@ class ProductDatabase:
         name TEXT DEFAULT '',
         price REAL DEFAULT 0.0,
         unit TEXT DEFAULT '',
-        updated_at TEXT
+        updated_at TEXT,
+        specification TEXT DEFAULT '',
+        source TEXT DEFAULT 'template',
+        confidence INTEGER DEFAULT 0,
+        usage_count INTEGER DEFAULT 0,
+        last_seen TEXT
     );
     """
 
+    # 新增列定义（用于迁移）
+    _NEW_COLUMNS = {
+        'specification': "TEXT DEFAULT ''",
+        'source': "TEXT DEFAULT 'template'",
+        'confidence': 'INTEGER DEFAULT 0',
+        'usage_count': 'INTEGER DEFAULT 0',
+        'last_seen': 'TEXT',
+    }
+
     def __init__(self, db_path: str, excel_source: str):
         """初始化数据库，如果 SQLite 不存在则自动从 Excel 导入
 
@@ -49,6 +70,7 @@ class ProductDatabase:
     def _ensure_db(self):
         """确保数据库存在，不存在则从 Excel 导入"""
         if os.path.exists(self.db_path):
+            self._migrate_schema()
             return
 
         if not os.path.exists(self.excel_source):
@@ -71,8 +93,24 @@ class ProductDatabase:
         finally:
             conn.close()
 
+    def _migrate_schema(self):
+        """幂等迁移：为已有数据库添加新列"""
+        conn = self._connect()
+        try:
+            cursor = conn.execute("PRAGMA table_info(products)")
+            existing_cols = {row[1] for row in cursor.fetchall()}
+
+            for col_name, col_type in self._NEW_COLUMNS.items():
+                if col_name not in existing_cols:
+                    conn.execute(f"ALTER TABLE products ADD COLUMN {col_name} {col_type}")
+                    logger.info(f"数据库迁移: 添加列 {col_name}")
+
+            conn.commit()
+        finally:
+            conn.close()
+
     def import_from_excel(self, excel_path: str) -> int:
-        """从 Excel 导入商品资料
+        """从 Excel 导入商品资料（source=template, confidence=100）
 
         Args:
             excel_path: Excel 文件路径
@@ -101,9 +139,10 @@ class ProductDatabase:
                     price_col = col
                     break
 
-        # 查找名称列和单位列 (可选)
+        # 查找名称列、单位列、规格列 (可选)
         name_col = ColumnMapper.find_column(list(df.columns), 'name')
         unit_col = ColumnMapper.find_column(list(df.columns), 'unit')
+        spec_col = ColumnMapper.find_column(list(df.columns), 'specification')
 
         now = datetime.now().isoformat()
         rows = []
@@ -127,8 +166,11 @@ class ProductDatabase:
             unit = str(row.get(unit_col, '')).strip() if unit_col else ''
             if unit == 'nan':
                 unit = ''
+            spec = str(row.get(spec_col, '')).strip() if spec_col else ''
+            if spec == 'nan':
+                spec = ''
 
-            rows.append((barcode, name, price, unit, now))
+            rows.append((barcode, name, price, unit, now, spec, 'template', 100, 0, now))
 
         if not rows:
             logger.warning(f"Excel 中未解析出有效记录: {excel_path}")
@@ -137,8 +179,9 @@ class ProductDatabase:
         conn = self._connect()
         try:
             conn.executemany(
-                "INSERT OR REPLACE INTO products (barcode, name, price, unit, updated_at) "
-                "VALUES (?, ?, ?, ?, ?)",
+                "INSERT OR REPLACE INTO products "
+                "(barcode, name, price, unit, updated_at, specification, source, confidence, usage_count, last_seen) "
+                "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
                 rows
             )
             conn.commit()
@@ -161,15 +204,10 @@ class ProductDatabase:
             conn.close()
         return self.import_from_excel(self.excel_source)
 
+    # ── 基础查询（保持兼容） ──────────────────────────────────
+
     def get_price(self, barcode: str) -> Optional[float]:
-        """按条码查询进货价
-
-        Args:
-            barcode: 商品条码
-
-        Returns:
-            进货价，未找到返回 None
-        """
+        """按条码查询进货价"""
         conn = self._connect()
         try:
             cursor = conn.execute(
@@ -182,14 +220,7 @@ class ProductDatabase:
             conn.close()
 
     def get_prices(self, barcodes: List[str]) -> Dict[str, float]:
-        """批量查询进货价
-
-        Args:
-            barcodes: 条码列表
-
-        Returns:
-            {条码: 进货价} 字典，未找到的不包含
-        """
+        """批量查询进货价"""
         if not barcodes:
             return {}
 
@@ -212,3 +243,288 @@ class ProductDatabase:
             return cursor.fetchone()[0]
         finally:
             conn.close()
+
+    # ── 记忆库查询 ────────────────────────────────────────────
+
+    def get_memory(self, barcode: str) -> Optional[Dict]:
+        """查询单条商品记忆"""
+        conn = self._connect()
+        conn.row_factory = sqlite3.Row
+        try:
+            cursor = conn.execute(
+                "SELECT * FROM products WHERE barcode = ?",
+                (str(barcode).strip(),)
+            )
+            row = cursor.fetchone()
+            if row:
+                return dict(row)
+            return None
+        finally:
+            conn.close()
+
+    def get_memories(self, barcodes: List[str]) -> Dict[str, Dict]:
+        """批量查询商品记忆"""
+        if not barcodes:
+            return {}
+
+        conn = self._connect()
+        conn.row_factory = sqlite3.Row
+        try:
+            placeholders = ','.join('?' * len(barcodes))
+            cursor = conn.execute(
+                f"SELECT * FROM products WHERE barcode IN ({placeholders})",
+                [str(b).strip() for b in barcodes]
+            )
+            return {row['barcode']: dict(row) for row in cursor.fetchall()}
+        finally:
+            conn.close()
+
+    def get_all_memories(self) -> List[Dict]:
+        """返回全部记录（UI 用）"""
+        conn = self._connect()
+        conn.row_factory = sqlite3.Row
+        try:
+            cursor = conn.execute(
+                "SELECT * FROM products ORDER BY usage_count DESC, barcode"
+            )
+            return [dict(row) for row in cursor.fetchall()]
+        finally:
+            conn.close()
+
+    # ── 学习逻辑 ──────────────────────────────────────────────
+
+    def learn_from_product(self, product: Dict, source: str = 'ocr') -> None:
+        """从处理结果中学习单条商品数据
+
+        Args:
+            product: 商品字典 (barcode, name, specification, unit, price, ...)
+            source: 数据来源 ('template', 'ocr', 'user_confirmed')
+        """
+        barcode = str(product.get('barcode', '')).strip()
+        if not barcode:
+            return
+
+        now = datetime.now().isoformat()
+        name = str(product.get('name', ''))
+        spec = str(product.get('specification', ''))
+        unit = str(product.get('unit', ''))
+        price = float(product.get('price', 0))
+
+        conn = self._connect()
+        try:
+            cursor = conn.execute(
+                "SELECT confidence, usage_count FROM products WHERE barcode = ?",
+                (barcode,)
+            )
+            row = cursor.fetchone()
+
+            if row is None:
+                # 新记录
+                conf = {'template': 100, 'user_confirmed': 90}.get(source, 50)
+                conn.execute(
+                    "INSERT INTO products "
+                    "(barcode, name, specification, unit, price, source, confidence, usage_count, last_seen, updated_at) "
+                    "VALUES (?, ?, ?, ?, ?, ?, ?, 1, ?, ?)",
+                    (barcode, name, spec, unit, price, source, conf, now, now)
+                )
+            else:
+                old_conf, old_count = row
+                new_count = old_count + 1
+
+                if source == 'template':
+                    new_conf = 100
+                elif source == 'user_confirmed':
+                    new_conf = 90
+                else:  # ocr
+                    new_conf = min(80, old_conf + 10) if old_conf < 80 else old_conf
+
+                if source in ('template', 'user_confirmed'):
+                    # 高权威来源：全字段覆盖
+                    conn.execute(
+                        "UPDATE products SET name=?, specification=?, unit=?, price=?, "
+                        "source=?, confidence=?, usage_count=?, last_seen=?, updated_at=? "
+                        "WHERE barcode=?",
+                        (name, spec, unit, price, source, new_conf, new_count, now, now, barcode)
+                    )
+                else:
+                    # OCR：仅填充空字段，不更新 price
+                    conn.execute(
+                        "UPDATE products SET "
+                        "name = CASE WHEN name='' THEN ? ELSE name END, "
+                        "specification = CASE WHEN specification='' THEN ? ELSE specification END, "
+                        "unit = CASE WHEN unit='' THEN ? ELSE unit END, "
+                        "source=?, confidence=?, usage_count=?, last_seen=?, updated_at=? "
+                        "WHERE barcode=?",
+                        (name, spec, unit, source, new_conf, new_count, now, now, barcode)
+                    )
+            conn.commit()
+        finally:
+            conn.close()
+
+    def learn_from_products(self, products: List[Dict], source: str = 'ocr') -> int:
+        """批量学习，返回更新条数"""
+        count = 0
+        for p in products:
+            try:
+                self.learn_from_product(p, source)
+                count += 1
+            except Exception as e:
+                logger.warning(f"学习商品记忆失败: {e}")
+        return count
+
+    def update_memory(self, barcode: str, fields: Dict) -> bool:
+        """手动编辑记录（UI 用，source→user_confirmed, confidence→90）"""
+        barcode = str(barcode).strip()
+        if not barcode:
+            return False
+
+        allowed = {'name', 'specification', 'unit', 'price'}
+        updates = {k: v for k, v in fields.items() if k in allowed}
+        if not updates:
+            return False
+
+        now = datetime.now().isoformat()
+        set_clause = ', '.join(f"{k}=?" for k in updates)
+        values = list(updates.values())
+
+        conn = self._connect()
+        try:
+            conn.execute(
+                f"UPDATE products SET {set_clause}, source='user_confirmed', confidence=90, "
+                "updated_at=? WHERE barcode=?",
+                values + [now, barcode]
+            )
+            conn.commit()
+            return conn.total_changes > 0
+        finally:
+            conn.close()
+
+    def delete_memory(self, barcode: str) -> bool:
+        """删除记录"""
+        conn = self._connect()
+        try:
+            conn.execute("DELETE FROM products WHERE barcode=?", (str(barcode).strip(),))
+            conn.commit()
+            return conn.total_changes > 0
+        finally:
+            conn.close()
+
+    # ── 云端同步 ──────────────────────────────────────────────
+
+    def export_for_sync(self) -> Dict:
+        """导出全部记录为 JSON-serializable dict（按条码索引）"""
+        conn = self._connect()
+        try:
+            cursor = conn.execute(
+                "SELECT barcode, name, specification, unit, price, source, "
+                "confidence, usage_count, last_seen FROM products"
+            )
+            result = {}
+            for row in cursor.fetchall():
+                result[row[0]] = {
+                    'name': row[1],
+                    'specification': row[2],
+                    'unit': row[3],
+                    'price': row[4],
+                    'source': row[5],
+                    'confidence': row[6],
+                    'usage_count': row[7],
+                    'last_seen': row[8],
+                }
+            return result
+        finally:
+            conn.close()
+
+    def import_from_sync(self, data: Dict) -> int:
+        """从云端 JSON 导入，高置信度优先合并
+
+        Args:
+            data: {barcode: {name, specification, unit, price, source, confidence, ...}}
+
+        Returns:
+            导入/更新的记录数
+        """
+        now = datetime.now().isoformat()
+        count = 0
+
+        conn = self._connect()
+        try:
+            for barcode, info in data.items():
+                barcode = str(barcode).strip()
+                if not barcode:
+                    continue
+
+                name = str(info.get('name', ''))
+                spec = str(info.get('specification', ''))
+                unit = str(info.get('unit', ''))
+                price = float(info.get('price', 0))
+                remote_source = str(info.get('source', 'ocr'))
+                remote_conf = int(info.get('confidence', 50))
+                remote_count = int(info.get('usage_count', 1))
+                remote_seen = str(info.get('last_seen', now))
+
+                cursor = conn.execute(
+                    "SELECT confidence FROM products WHERE barcode = ?",
+                    (barcode,)
+                )
+                row = cursor.fetchone()
+
+                if row is None:
+                    # 新记录，直接插入
+                    conn.execute(
+                        "INSERT INTO products "
+                        "(barcode, name, specification, unit, price, source, confidence, usage_count, last_seen, updated_at) "
+                        "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
+                        (barcode, name, spec, unit, price, remote_source, remote_conf, remote_count, remote_seen, now)
+                    )
+                    count += 1
+                else:
+                    local_conf = row[0]
+                    if remote_conf > local_conf:
+                        # 云端置信度更高，覆盖
+                        conn.execute(
+                            "UPDATE products SET name=?, specification=?, unit=?, price=?, "
+                            "source=?, confidence=?, usage_count=?, last_seen=?, updated_at=? "
+                            "WHERE barcode=?",
+                            (name, spec, unit, price, remote_source, remote_conf, remote_count, remote_seen, now, barcode)
+                        )
+                        count += 1
+                    elif remote_conf == local_conf:
+                        # 置信度相同，填充空字段
+                        conn.execute(
+                            "UPDATE products SET "
+                            "name = CASE WHEN name='' THEN ? ELSE name END, "
+                            "specification = CASE WHEN specification='' THEN ? ELSE specification END, "
+                            "unit = CASE WHEN unit='' THEN ? ELSE unit END, "
+                            "usage_count = MAX(usage_count, ?), "
+                            "updated_at=? WHERE barcode=?",
+                            (name, spec, unit, remote_count, now, barcode)
+                        )
+                        count += 1
+
+            conn.commit()
+        finally:
+            conn.close()
+
+        return count
+
+    def _export_memory_json(self, json_path: str = None) -> str:
+        """导出记忆库为本地 JSON 文件
+
+        Args:
+            json_path: 输出路径，默认 data/product_memory.json
+
+        Returns:
+            写入的文件路径
+        """
+        if json_path is None:
+            json_path = os.path.join(os.path.dirname(self.db_path), 'product_memory.json')
+
+        data = self.export_for_sync()
+        os.makedirs(os.path.dirname(json_path), exist_ok=True)
+
+        with open(json_path, 'w', encoding='utf-8') as f:
+            json.dump(data, f, ensure_ascii=False, indent=2)
+
+        logger.debug(f"商品记忆库已导出: {json_path} ({len(data)} 条)")
+        return json_path

app/core/excel/processor.py

@@ -40,12 +40,13 @@ class ExcelProcessor:
     提取条码、单价和数量，并按照采购单模板的格式填充
     """
     
-    def __init__(self, config):
+    def __init__(self, config, product_db=None):
         """
         初始化Excel处理器
-        
+
         Args:
             config: 配置信息
+            product_db: 商品数据库实例（可选，由外部传入以共享）
         """
         self.config = config
         
@@ -74,6 +75,18 @@ class ExcelProcessor:
             
             # 加载单位转换器和配置
             self.unit_converter = UnitConverter()
+
+            # 商品记忆库
+            if product_db is not None:
+                self.product_db = product_db
+            else:
+                from ..db.product_db import ProductDatabase
+                db_path = config.get_path('Paths', 'product_db', fallback='data/product_cache.db') if hasattr(config, 'get_path') else 'data/product_cache.db'
+                tpl_folder = config.get('Paths', 'template_folder', fallback='templates')
+                item_data = config.get('Templates', 'item_data', fallback='商品资料.xlsx')
+                tpl_path = os.path.join(tpl_folder, item_data)
+                self.product_db = ProductDatabase(db_path, tpl_path)
+
             logger.info(f"初始化ExcelProcessor完成，模板文件: {self.template_path}")
         except Exception as e:
             logger.error(f"初始化ExcelProcessor失败: {e}")
@@ -371,14 +384,70 @@ class ExcelProcessor:
                     except Exception as e:
                         logger.warning(f"通过金额和单价计算数量失败: {e}")
                 
+                # 应用记忆库补全
+                product = self._apply_memory(product)
+
                 products.append(product)
             except Exception as e:
                 logger.error(f"提取第{idx+1}行商品信息时出错: {e}", exc_info=True)
                 continue
-                
+
         logger.info(f"提取到 {len(products)} 个商品信息")
         return products
-    
+
+    def _apply_memory(self, product: Dict) -> Dict:
+        """查记忆库，补全 OCR 缺失/错误的字段"""
+        barcode = product.get('barcode', '')
+        if not barcode:
+            return product
+
+        try:
+            memory = self.product_db.get_memory(barcode)
+        except Exception:
+            return product
+
+        if memory is None or memory.get('confidence', 0) < 80:
+            return product
+
+        # 补全规格
+        ocr_spec = product.get('specification', '')
+        mem_spec = memory.get('specification', '') or ''
+        if mem_spec and (not ocr_spec or self._is_spec_suspicious(ocr_spec)):
+            product['specification'] = mem_spec
+            logger.info(f"记忆修正规格: {barcode} '{ocr_spec}' -> '{mem_spec}'")
+
+        # 补全名称
+        ocr_name = product.get('name', '')
+        mem_name = memory.get('name', '') or ''
+        if mem_name and not ocr_name:
+            product['name'] = mem_name
+            logger.info(f"记忆修正名称: {barcode} -> '{mem_name}'")
+
+        # 补全单位
+        ocr_unit = product.get('unit', '')
+        mem_unit = memory.get('unit', '') or ''
+        if mem_unit and not ocr_unit:
+            product['unit'] = mem_unit
+            logger.info(f"记忆修正单位: {barcode} -> '{mem_unit}'")
+
+        # 不改数量和单价（每单不同）
+        return product
+
+    def _is_spec_suspicious(self, spec: str) -> bool:
+        """检测规格是否像 OCR 垃圾"""
+        if not spec:
+            return True
+        # IL*12（I 和 1 混淆）
+        if re.search(r'^[Ii][Ll*]', spec):
+            return True
+        # 4.51*4（L 被识别为 1）
+        if re.search(r'\d+\.\d+1\*\d+', spec):
+            return True
+        # 包含非常规字符（排除常见规格字符）
+        if re.search(r'[^\d.*xX\-LlKkGgMm升毫瓶桶盒箱件提\s]', spec):
+            return True
+        return False
+
     def fill_template(self, products: List[Dict], output_file_path: str) -> bool:
         """
         填充采购单模板
@@ -599,6 +668,14 @@ class ExcelProcessor:
             
             # 填充模板并保存
             if self.fill_template(products, output_file):
+                # 从处理结果中学习商品记忆
+                try:
+                    self.product_db.learn_from_products(products, source='ocr')
+                    self.product_db._export_memory_json()
+                    logger.info(f"已从处理结果学习 {len(products)} 条商品记忆")
+                except Exception as e:
+                    logger.warning(f"学习商品记忆失败: {e}")
+
                 # 记录已处理文件
                 self.processed_files[file_path] = output_file
                 self._save_processed_files()

app/core/utils/dialog_utils.py

@@ -830,6 +830,12 @@ SYNC_FILES = [
         "local": "templates/银豹-采购单模板.xls",
         "type": "binary",
     },
+    {
+        "name": "商品记忆库",
+        "remote": "product_memory.json",
+        "local": "data/product_memory.json",
+        "type": "json",
+    },
 ]
 
 
@@ -1068,6 +1074,19 @@ def show_cloud_sync_dialog(parent=None):
                 ProcessorService(ConfigManager()).reload_processors()
             except Exception:
                 pass
+        elif entry["remote"] == "product_memory.json":
+            try:
+                from app.core.db.product_db import ProductDatabase
+                cfg = ConfigManager()
+                db_path = cfg.get_path('Paths', 'product_db', fallback='data/product_cache.db') if hasattr(cfg, 'get_path') else 'data/product_cache.db'
+                tpl_folder = cfg.get('Paths', 'template_folder', fallback='templates')
+                item_data = cfg.get('Templates', 'item_data', fallback='商品资料.xlsx')
+                tpl_path = os.path.join(tpl_folder, item_data)
+                db = ProductDatabase(db_path, tpl_path)
+                count = db.import_from_sync(data)
+                logger.info(f"从云端导入商品记忆: {count} 条")
+            except Exception:
+                pass
 
     def push_all():
         ok, fail = 0, 0

app/services/order_service.py

@@ -29,9 +29,16 @@ class OrderService:
         """
         logger.info("初始化OrderService")
         self.config = config or ConfigManager()
-        
+
+        # 创建共享的商品数据库实例
+        db_path = self.config.get_path('Paths', 'product_db', fallback='data/product_cache.db') if hasattr(self.config, 'get_path') else 'data/product_cache.db'
+        tpl_folder = self.config.get('Paths', 'template_folder', fallback='templates')
+        item_data = self.config.get('Templates', 'item_data', fallback='商品资料.xlsx')
+        tpl_path = os.path.join(tpl_folder, item_data)
+        self.product_db = ProductDatabase(db_path, tpl_path)
+
         # 创建Excel处理器和采购单合并器
-        self.excel_processor = ExcelProcessor(self.config)
+        self.excel_processor = ExcelProcessor(self.config, product_db=self.product_db)
         self.order_merger = PurchaseOrderMerger(self.config)
         
         logger.info("OrderService初始化完成")
@@ -195,18 +202,11 @@ class OrderService:
         """
         try:
             import pandas as pd
-            import os
             from app.core.utils.file_utils import smart_read_excel
             from app.core.handlers.column_mapper import ColumnMapper as CM
 
-            config = ConfigManager()
-            template_folder = config.get('Paths', 'template_folder', fallback='templates')
-            item_data = config.get('Templates', 'item_data', fallback='商品资料.xlsx')
-            item_path = os.path.join(template_folder, item_data)
-            product_db_path = config.get('Paths', 'product_db', fallback='data/product_cache.db')
-
-            # 使用 SQLite 查询商品进货价
-            product_db = ProductDatabase(product_db_path, item_path)
+            # 使用共享的商品数据库实例
+            product_db = self.product_db
 
             # 读取待校验的采购单
             df_res = smart_read_excel(result_path)

app/ui/main_window.py

@@ -28,6 +28,7 @@ from .action_handlers import (
     merge_orders_with_status, process_excel_file_with_status,
     process_dropped_file,
 )
+from .memory_editor import show_memory_editor
 from .config_dialog import show_config_dialog
 from .barcode_editor import edit_barcode_mappings
 from .shortcuts import bind_keyboard_shortcuts
@@ -256,6 +257,7 @@ def _create_right_panel(content_frame, theme, log_text, root):
     create_modern_button(settings_buttons_frame, "系统设置", lambda: show_config_dialog(root, ConfigManager()), "primary", px_width=132, px_height=32).pack(anchor='w', pady=3)
     create_modern_button(settings_buttons_frame, "条码映射", lambda: edit_barcode_mappings(log_text), "primary", px_width=132, px_height=32).pack(anchor='w', pady=3)
     create_modern_button(settings_buttons_frame, "云端同步", lambda: show_cloud_sync_dialog(root), "primary", px_width=132, px_height=32).pack(anchor='w', pady=3)
+    create_modern_button(settings_buttons_frame, "商品记忆库", lambda: show_memory_editor(root), "primary", px_width=132, px_height=32).pack(anchor='w', pady=3)
 
 
 def _setup_drag_area(mid_container, theme, dnd_supported, log_text, status_bar):

app/ui/memory_editor.py

@@ -0,0 +1,198 @@
+"""商品记忆库查看/编辑对话框"""
+
+import os
+import tkinter as tk
+from tkinter import ttk, messagebox, simpledialog
+
+from app.config.settings import ConfigManager
+from app.core.db.product_db import ProductDatabase
+from .ui_widgets import center_window
+
+
+def _get_product_db():
+    cfg = ConfigManager()
+    db_path = cfg.get_path('Paths', 'product_db', fallback='data/product_cache.db') if hasattr(cfg, 'get_path') else 'data/product_cache.db'
+    tpl_folder = cfg.get('Paths', 'template_folder', fallback='templates')
+    item_data = cfg.get('Templates', 'item_data', fallback='商品资料.xlsx')
+    tpl_path = os.path.join(tpl_folder, item_data)
+    return ProductDatabase(db_path, tpl_path)
+
+
+def show_memory_editor(root):
+    """显示商品记忆库编辑器"""
+    db = _get_product_db()
+
+    dlg = tk.Toplevel(root)
+    dlg.title("商品记忆库")
+    dlg.geometry("950x520")
+    center_window(dlg)
+
+    # ── 顶部搜索栏 ──
+    top = ttk.Frame(dlg)
+    top.pack(fill=tk.X, padx=8, pady=(8, 4))
+
+    ttk.Label(top, text="搜索:").pack(side=tk.LEFT)
+    search_var = tk.StringVar()
+    search_entry = ttk.Entry(top, textvariable=search_var, width=30)
+    search_entry.pack(side=tk.LEFT, padx=4)
+
+    # ── 统计标签 ──
+    stats_label = ttk.Label(top, text="")
+    stats_label.pack(side=tk.RIGHT)
+
+    # ── Treeview ──
+    columns = ("barcode", "name", "specification", "unit", "price", "source", "confidence", "usage_count", "last_seen")
+    tree = ttk.Treeview(dlg, columns=columns, show="headings", height=18)
+
+    headers = {
+        "barcode": ("条码", 120),
+        "name": ("名称", 180),
+        "specification": ("规格", 80),
+        "unit": ("单位", 50),
+        "price": ("单价", 70),
+        "source": ("来源", 80),
+        "confidence": ("置信度", 60),
+        "usage_count": ("使用次数", 70),
+        "last_seen": ("最后使用", 140),
+    }
+    for col, (text, width) in headers.items():
+        tree.heading(col, text=text)
+        tree.column(col, width=width, anchor="center")
+
+    # 置信度颜色标签
+    tree.tag_configure("high", foreground="#28a745")    # >= 80 绿
+    tree.tag_configure("medium", foreground="#ffc107")   # 50-79 黄
+    tree.tag_configure("low", foreground="#dc3545")      # < 50 红
+
+    scrollbar = ttk.Scrollbar(dlg, orient=tk.VERTICAL, command=tree.yview)
+    tree.configure(yscrollcommand=scrollbar.set)
+
+    tree.pack(side=tk.LEFT, fill=tk.BOTH, expand=True, padx=(8, 0), pady=4)
+    scrollbar.pack(side=tk.LEFT, fill=tk.Y, padx=(0, 8), pady=4)
+
+    # ── 数据加载 ──
+    all_records = []
+
+    def load_data(filter_text=""):
+        nonlocal all_records
+        all_records = db.get_all_memories()
+
+        tree.delete(*tree.get_children())
+
+        filtered = all_records
+        if filter_text:
+            ft = filter_text.lower()
+            filtered = [r for r in all_records
+                        if ft in str(r.get('barcode', '')).lower()
+                        or ft in str(r.get('name', '')).lower()]
+
+        for r in filtered:
+            conf = r.get('confidence', 0) or 0
+            tag = "high" if conf >= 80 else ("medium" if conf >= 50 else "low")
+
+            last_seen = r.get('last_seen', '') or ''
+            if last_seen and len(last_seen) > 16:
+                last_seen = last_seen[:16]
+
+            source_display = {
+                'template': '模板',
+                'ocr': 'OCR',
+                'user_confirmed': '手动',
+            }.get(r.get('source', ''), r.get('source', ''))
+
+            tree.insert("", tk.END, values=(
+                r.get('barcode', ''),
+                r.get('name', ''),
+                r.get('specification', ''),
+                r.get('unit', ''),
+                f"{r.get('price', 0):.2f}" if r.get('price') else '',
+                source_display,
+                conf,
+                r.get('usage_count', 0) or 0,
+                last_seen,
+            ), tags=(tag,))
+
+        stats_label.config(text=f"共 {len(filtered)} / {len(all_records)} 条")
+
+    def on_search(*_):
+        load_data(search_var.get())
+
+    search_var.trace_add("write", on_search)
+
+    # ── 按钮区 ──
+    btn_frame = ttk.Frame(dlg)
+    btn_frame.pack(fill=tk.X, padx=8, pady=(0, 8))
+
+    def edit_selected():
+        sel = tree.selection()
+        if not sel:
+            messagebox.showwarning("提示", "请先选择一条记录")
+            return
+        item = tree.item(sel[0])
+        vals = item['values']
+        barcode = vals[0]
+
+        # 弹出编辑对话框
+        edit_dlg = tk.Toplevel(dlg)
+        edit_dlg.title(f"编辑: {barcode}")
+        edit_dlg.geometry("380x260")
+        center_window(edit_dlg)
+
+        fields = [
+            ("名称", "name", vals[1]),
+            ("规格", "specification", vals[2]),
+            ("单位", "unit", vals[3]),
+            ("单价", "price", vals[4]),
+        ]
+        entries = {}
+        for i, (label, key, val) in enumerate(fields):
+            ttk.Label(edit_dlg, text=label).grid(row=i, column=0, sticky='w', padx=8, pady=4)
+            var = tk.StringVar(value=str(val) if val else '')
+            ttk.Entry(edit_dlg, textvariable=var, width=30).grid(row=i, column=1, padx=8, pady=4)
+            entries[key] = var
+
+        def save_edit():
+            updates = {}
+            for key, var in entries.items():
+                v = var.get().strip()
+                if key == 'price':
+                    try:
+                        updates[key] = float(v) if v else 0
+                    except ValueError:
+                        updates[key] = 0
+                else:
+                    updates[key] = v
+            db.update_memory(barcode, updates)
+            edit_dlg.destroy()
+            load_data(search_var.get())
+
+        ttk.Button(edit_dlg, text="保存", command=save_edit).grid(row=len(fields), column=0, columnspan=2, pady=12)
+
+    def delete_selected():
+        sel = tree.selection()
+        if not sel:
+            messagebox.showwarning("提示", "请先选择一条记录")
+            return
+        item = tree.item(sel[0])
+        barcode = item['values'][0]
+        if messagebox.askyesno("确认删除", f"确定要删除条码 {barcode} 的记忆记录吗？"):
+            db.delete_memory(barcode)
+            load_data(search_var.get())
+
+    def reimport_template():
+        if messagebox.askyesno("确认", "重新从商品资料导入将重置所有模板商品的置信度为100，确定继续吗？"):
+            count = db.reimport()
+            messagebox.showinfo("完成", f"已重新导入 {count} 条记录")
+            load_data(search_var.get())
+
+    ttk.Button(btn_frame, text="编辑", command=edit_selected).pack(side=tk.LEFT, padx=4)
+    ttk.Button(btn_frame, text="删除", command=delete_selected).pack(side=tk.LEFT, padx=4)
+    ttk.Button(btn_frame, text="重新导入模板", command=reimport_template).pack(side=tk.LEFT, padx=4)
+    ttk.Button(btn_frame, text="刷新", command=lambda: load_data(search_var.get())).pack(side=tk.LEFT, padx=4)
+    ttk.Button(btn_frame, text="关闭", command=dlg.destroy).pack(side=tk.RIGHT, padx=4)
+
+    # 双击编辑
+    tree.bind("<Double-1>", lambda e: edit_selected())
+
+    # 初始加载
+    load_data()

build_exe.py

@@ -91,6 +91,7 @@ hidden_imports = [
     'app.ui.config_dialog',
     'app.ui.shortcuts',
     'app.ui.main_window',
+    'app.ui.memory_editor',
 ]
 
 a = Analysis(

config.ini

@@ -34,11 +34,10 @@ purchase_order = 银豹-采购单模板.xls
 item_data = 商品资料.xlsx
 
 [App]
-version = 2026.05.04.2128
+version = 2026.05.05.0239
 
 [Gitea]
 base_url = https://gitea.94kan.cn
 owner = houhuan
 repo = yixuan-sync-data
-token = 50b61e43a141d606ae2529cd1755bc666d800e08
-
+token = 50b61e43a141d606ae2529cd1755bc666d800e08