V3.49

- 分页基准从明细行改为单号：21 项单号不再被拆到 3 页

- 步骤 1a 构造 GROUP BY borrow_no 的 subquery（sort_key + status 聚合）

- 步骤 2 主查询 SELECT order_subq.c.borrow_no 一列，避免触发 PG GROUP BY 严格模式 (f405)

- 步骤 3 用 page_borrow_nos 拉明细，保留前端 groupMap 期望的 items 形态

- pagination.items 用 isinstance + hasattr(_mapping) 兜底提取纯字符串（修 psycopg2 can't adapt type 'Row'）

- service 加 try-except，路由层识别 500 透传 traceback

- status 过滤改为单号聚合（borrowed=至少一条未还，returned=全部归还）

inventory-backend/app/api/v1/transactions.py

@@ -131,6 +131,15 @@ def get_records():
     search_type = request.args.get('search_type', 'all')
 
     res = TransService.get_records(page=page, limit=10, status=status, keyword=keyword, search_type=search_type)
+
+    # ★ service 层异常时：code==500 的字典（带 traceback），需要直通到前端，便于排查
+    if isinstance(res, dict) and res.get('code') == 500:
+        return jsonify({
+            'code': 500,
+            'msg': res.get('msg', '服务内部错误'),
+            'trace': res.get('trace', '')
+        }), 500
+
     # 字段级脱敏
     user_permissions = get_current_user_permissions()
     if res.get('items'):

inventory-backend/app/services/trans_service.py

@@ -6,7 +6,7 @@ from app.models.inbound.buy import StockBuy
 from app.models.inbound.semi import StockSemi
 from app.models.inbound.product import StockProduct
 from app.models.base import MaterialBase
-from sqlalchemy import desc, func, nullslast, asc, or_, and_
+from sqlalchemy import desc, func, nullslast, asc, or_, and_, case
 from sqlalchemy.orm import joinedload
 
 
@@ -325,241 +325,343 @@ class TransService:
 
     @staticmethod
     def get_records(page=1, limit=10, status='all', keyword=None, search_type='all'):
-        q = TransBorrow.query
+        """
+        获取借还记录列表（按单号 borrow_no 维度分页，避免明细撑爆 pageSize）
 
-        # 如果有关键词，需要联表搜索物料名称和规格型号
-        if keyword:
-            # 根据 search_type 构建不同的搜索条件
-            if search_type == 'all':
-                # 原有逻辑：or_ 联表全局模糊搜索
-                # 查询 stock_buy 路径匹配的名称/规格
-                buy_match = db.session.query(TransBorrow.id).join(
-                    StockBuy, and_(
-                        TransBorrow.stock_id == StockBuy.id,
-                        TransBorrow.source_table == 'stock_buy'
-                    )
-                ).join(
-                    MaterialBase, StockBuy.base_id == MaterialBase.id
-                ).filter(
-                    or_(
-                        MaterialBase.name.ilike(f'%{keyword}%'),
-                        MaterialBase.spec_model.ilike(f'%{keyword}%')
-                    )
-                ).subquery()
+        实现思路（三步走）：
+          步骤 1: 构造 GROUP BY borrow_no 的"单号维度视图" subquery
+                  （包含 borrow_no + sort_key + 状态聚合，全部聚合都在这里完成）
+          步骤 2: 用一个【纯净的列查询】从 subquery 中分页得到 page_borrow_nos
+                  → SELECT 只有 borrow_no 一列，【主查询无 GROUP BY】
+                  → 避免触发 PG "column must appear in GROUP BY" 严格模式
+          步骤 3: 用 page_borrow_nos 拉明细 + 预加载 material_name
 
-                # 查询 stock_semi 路径匹配的名称/规格
-                semi_match = db.session.query(TransBorrow.id).join(
-                    StockSemi, and_(
-                        TransBorrow.stock_id == StockSemi.id,
-                        TransBorrow.source_table == 'stock_semi'
-                    )
-                ).join(
-                    MaterialBase, StockSemi.base_id == MaterialBase.id
-                ).filter(
-                    or_(
-                        MaterialBase.name.ilike(f'%{keyword}%'),
-                        MaterialBase.spec_model.ilike(f'%{keyword}%')
-                    )
-                ).subquery()
+        状态过滤按"单号聚合"判定：
+          - borrowed: 单号下至少有一条 is_returned=False
+          - returned: 单号下所有明细 is_returned=True
+        """
+        try:
+            # ====================================================================
+            # 步骤 1a：构造"单号维度"基础子查询（GROUP BY borrow_no 在这里完成）
+            # ====================================================================
+            # 单号 + 排序键（最早 expected_return_time）—— 这一层只含 2 列 + GROUP BY
+            order_subq = (
+                db.session.query(
+                    TransBorrow.borrow_no.label('borrow_no'),
+                    func.min(TransBorrow.expected_return_time).label('sort_key')
+                )
+                .group_by(TransBorrow.borrow_no)
+                .subquery()
+            )
 
-                # 查询 stock_product 路径匹配的名称/规格
-                product_match = db.session.query(TransBorrow.id).join(
-                    StockProduct, and_(
-                        TransBorrow.stock_id == StockProduct.id,
-                        TransBorrow.source_table == 'stock_product'
-                    )
-                ).join(
-                    MaterialBase, StockProduct.base_id == MaterialBase.id
-                ).filter(
-                    or_(
-                        MaterialBase.name.ilike(f'%{keyword}%'),
-                        MaterialBase.spec_model.ilike(f'%{keyword}%')
-                    )
-                ).subquery()
+            # 状态聚合子查询（也是 GROUP BY borrow_no）
+            status_subq = (
+                db.session.query(
+                    TransBorrow.borrow_no.label('borrow_no'),
+                    func.sum(
+                        case((TransBorrow.is_returned == False, 1), else_=0)
+                    ).label('unreturned_count')
+                )
+                .group_by(TransBorrow.borrow_no)
+                .subquery()
+            )
 
-                # 合并三种来源的匹配 ID
-                all_matches = db.session.query(buy_match.c.id).union(
-                    db.session.query(semi_match.c.id),
-                    db.session.query(product_match.c.id)
-                ).subquery()
+            # ====================================================================
+            # 步骤 1b：构造关键词命中单号子查询（保留原全部 search_type 逻辑）
+            # ====================================================================
+            keyword_conditions = None
+            if keyword:
+                # 根据 search_type 构建不同的搜索条件
+                if search_type == 'all':
+                    # 原有逻辑：or_ 联表全局模糊搜索
+                    # 查询 stock_buy 路径匹配的名称/规格
+                    buy_match = db.session.query(TransBorrow.id).join(
+                        StockBuy, and_(
+                            TransBorrow.stock_id == StockBuy.id,
+                            TransBorrow.source_table == 'stock_buy'
+                        )
+                    ).join(
+                        MaterialBase, StockBuy.base_id == MaterialBase.id
+                    ).filter(
+                        or_(
+                            MaterialBase.name.ilike(f'%{keyword}%'),
+                            MaterialBase.spec_model.ilike(f'%{keyword}%')
+                        )
+                    ).subquery()
 
-                keyword_conditions = or_(
-                    TransBorrow.borrower_name.ilike(f'%{keyword}%'),
-                    TransBorrow.sku.ilike(f'%{keyword}%'),
-                    TransBorrow.borrow_no.ilike(f'%{keyword}%'),
-                    TransBorrow.id.in_(all_matches)
+                    # 查询 stock_semi 路径匹配的名称/规格
+                    semi_match = db.session.query(TransBorrow.id).join(
+                        StockSemi, and_(
+                            TransBorrow.stock_id == StockSemi.id,
+                            TransBorrow.source_table == 'stock_semi'
+                        )
+                    ).join(
+                        MaterialBase, StockSemi.base_id == MaterialBase.id
+                    ).filter(
+                        or_(
+                            MaterialBase.name.ilike(f'%{keyword}%'),
+                            MaterialBase.spec_model.ilike(f'%{keyword}%')
+                        )
+                    ).subquery()
+
+                    # 查询 stock_product 路径匹配的名称/规格
+                    product_match = db.session.query(TransBorrow.id).join(
+                        StockProduct, and_(
+                            TransBorrow.stock_id == StockProduct.id,
+                            TransBorrow.source_table == 'stock_product'
+                        )
+                    ).join(
+                        MaterialBase, StockProduct.base_id == MaterialBase.id
+                    ).filter(
+                        or_(
+                            MaterialBase.name.ilike(f'%{keyword}%'),
+                            MaterialBase.spec_model.ilike(f'%{keyword}%')
+                        )
+                    ).subquery()
+
+                    # 合并三种来源的匹配 ID
+                    all_matches = db.session.query(buy_match.c.id).union(
+                        db.session.query(semi_match.c.id),
+                        db.session.query(product_match.c.id)
+                    ).subquery()
+
+                    keyword_conditions = or_(
+                        TransBorrow.borrower_name.ilike(f'%{keyword}%'),
+                        TransBorrow.sku.ilike(f'%{keyword}%'),
+                        TransBorrow.borrow_no.ilike(f'%{keyword}%'),
+                        TransBorrow.id.in_(all_matches)
+                    )
+
+                elif search_type == 'no':
+                    keyword_conditions = TransBorrow.borrow_no.ilike(f'%{keyword}%')
+
+                elif search_type == 'name':
+                    keyword_conditions = TransBorrow.borrower_name.ilike(f'%{keyword}%')
+
+                elif search_type == 'sku':
+                    keyword_conditions = TransBorrow.sku.ilike(f'%{keyword}%')
+
+                elif search_type == 'material_name':
+                    # 联表查询物料名称
+                    buy_match = db.session.query(TransBorrow.id).join(
+                        StockBuy, and_(
+                            TransBorrow.stock_id == StockBuy.id,
+                            TransBorrow.source_table == 'stock_buy'
+                        )
+                    ).join(
+                        MaterialBase, StockBuy.base_id == MaterialBase.id
+                    ).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
+
+                    semi_match = db.session.query(TransBorrow.id).join(
+                        StockSemi, and_(
+                            TransBorrow.stock_id == StockSemi.id,
+                            TransBorrow.source_table == 'stock_semi'
+                        )
+                    ).join(
+                        MaterialBase, StockSemi.base_id == MaterialBase.id
+                    ).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
+
+                    product_match = db.session.query(TransBorrow.id).join(
+                        StockProduct, and_(
+                            TransBorrow.stock_id == StockProduct.id,
+                            TransBorrow.source_table == 'stock_product'
+                        )
+                    ).join(
+                        MaterialBase, StockProduct.base_id == MaterialBase.id
+                    ).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
+
+                    all_matches = db.session.query(buy_match.c.id).union(
+                        db.session.query(semi_match.c.id),
+                        db.session.query(product_match.c.id)
+                    ).subquery()
+
+                    keyword_conditions = TransBorrow.id.in_(all_matches)
+
+                elif search_type == 'spec_model':
+                    # 联表查询规格型号
+                    buy_match = db.session.query(TransBorrow.id).join(
+                        StockBuy, and_(
+                            TransBorrow.stock_id == StockBuy.id,
+                            TransBorrow.source_table == 'stock_buy'
+                        )
+                    ).join(
+                        MaterialBase, StockBuy.base_id == MaterialBase.id
+                    ).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
+
+                    semi_match = db.session.query(TransBorrow.id).join(
+                        StockSemi, and_(
+                            TransBorrow.stock_id == StockSemi.id,
+                            TransBorrow.source_table == 'stock_semi'
+                        )
+                    ).join(
+                        MaterialBase, StockSemi.base_id == MaterialBase.id
+                    ).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
+
+                    product_match = db.session.query(TransBorrow.id).join(
+                        StockProduct, and_(
+                            TransBorrow.stock_id == StockProduct.id,
+                            TransBorrow.source_table == 'stock_product'
+                        )
+                    ).join(
+                        MaterialBase, StockProduct.base_id == MaterialBase.id
+                    ).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
+
+                    all_matches = db.session.query(buy_match.c.id).union(
+                        db.session.query(semi_match.c.id),
+                        db.session.query(product_match.c.id)
+                    ).subquery()
+
+                    keyword_conditions = TransBorrow.id.in_(all_matches)
+
+            # 把"命中的单号"独立成 subquery，供主查询做 IN 过滤
+            keyword_borrow_nos_subq = None
+            if keyword_conditions is not None:
+                keyword_borrow_nos_subq = (
+                    db.session.query(TransBorrow.borrow_no)
+                    .filter(keyword_conditions)
+                    .distinct()
+                    .subquery()
                 )
 
-            elif search_type == 'no':
-                keyword_conditions = TransBorrow.borrow_no.ilike(f'%{keyword}%')
+            # ====================================================================
+            # 步骤 2：纯净列查询分页（SELECT 只有 order_subq.c.borrow_no 一列）
+            # ====================================================================
+            borrow_no_q = db.session.query(order_subq.c.borrow_no)
 
-            elif search_type == 'name':
-                keyword_conditions = TransBorrow.borrower_name.ilike(f'%{keyword}%')
+            # 关键词过滤
+            if keyword_borrow_nos_subq is not None:
+                borrow_no_q = borrow_no_q.filter(
+                    order_subq.c.borrow_no.in_(keyword_borrow_nos_subq)
+                )
 
-            elif search_type == 'sku':
-                keyword_conditions = TransBorrow.sku.ilike(f'%{keyword}%')
-
-            elif search_type == 'material_name':
-                # 联表查询物料名称
-                buy_match = db.session.query(TransBorrow.id).join(
-                    StockBuy, and_(
-                        TransBorrow.stock_id == StockBuy.id,
-                        TransBorrow.source_table == 'stock_buy'
+            # 状态过滤（按"单号聚合"判定）
+            if status == 'borrowed':
+                # 单号下至少一条未还
+                borrow_no_q = borrow_no_q.filter(
+                    order_subq.c.borrow_no.in_(
+                        db.session.query(status_subq.c.borrow_no)
+                        .filter(status_subq.c.unreturned_count > 0)
                     )
-                ).join(
-                    MaterialBase, StockBuy.base_id == MaterialBase.id
-                ).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
-
-                semi_match = db.session.query(TransBorrow.id).join(
-                    StockSemi, and_(
-                        TransBorrow.stock_id == StockSemi.id,
-                        TransBorrow.source_table == 'stock_semi'
+                )
+            elif status == 'returned':
+                # 单号下所有明细都已归还
+                borrow_no_q = borrow_no_q.filter(
+                    order_subq.c.borrow_no.in_(
+                        db.session.query(status_subq.c.borrow_no)
+                        .filter(status_subq.c.unreturned_count == 0)
                     )
-                ).join(
-                    MaterialBase, StockSemi.base_id == MaterialBase.id
-                ).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
+                )
 
-                product_match = db.session.query(TransBorrow.id).join(
-                    StockProduct, and_(
-                        TransBorrow.stock_id == StockProduct.id,
-                        TransBorrow.source_table == 'stock_product'
-                    )
-                ).join(
-                    MaterialBase, StockProduct.base_id == MaterialBase.id
-                ).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
+            # 排序（单号维度的 sort_key ASC）
+            borrow_no_q = borrow_no_q.order_by(nullslast(asc(order_subq.c.sort_key)))
 
-                all_matches = db.session.query(buy_match.c.id).union(
-                    db.session.query(semi_match.c.id),
-                    db.session.query(product_match.c.id)
-                ).subquery()
+            # 分页（基准 = borrow_no 单号数）
+            pagination = borrow_no_q.paginate(page=page, per_page=limit, error_out=False)
+            # ★ pagination.items 是 SQLAlchemy Row 对象，psycopg2 无法直接 adapt Row
+            #    用 isinstance(row, tuple) 不够（2.x 的 Row 不一定继承 tuple）
+            #    用 hasattr(row, '_mapping') 兜底，强制提取 row[0] 拿到纯字符串
+            page_borrow_nos = [
+                row[0] if isinstance(row, tuple) or hasattr(row, '_mapping') else row
+                for row in pagination.items
+            ]
+            total_orders = pagination.total  # ★ 单号总数（修复前是明细数，分页错乱根因）
 
-                keyword_conditions = TransBorrow.id.in_(all_matches)
+            if not page_borrow_nos:
+                return {
+                    'items': [],
+                    'total': total_orders,
+                    'page': page,
+                    'limit': limit
+                }
 
-            elif search_type == 'spec_model':
-                # 联表查询规格型号
-                buy_match = db.session.query(TransBorrow.id).join(
-                    StockBuy, and_(
-                        TransBorrow.stock_id == StockBuy.id,
-                        TransBorrow.source_table == 'stock_buy'
-                    )
-                ).join(
-                    MaterialBase, StockBuy.base_id == MaterialBase.id
-                ).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
+            # ====================================================================
+            # 步骤 3：按当前页 borrow_no 集合一次性拉出所有明细
+            # ====================================================================
+            detail_records = (
+                TransBorrow.query
+                .filter(TransBorrow.borrow_no.in_(page_borrow_nos))
+                .order_by(TransBorrow.borrow_no.asc(), TransBorrow.id.asc())
+                .all()
+            )
 
-                semi_match = db.session.query(TransBorrow.id).join(
-                    StockSemi, and_(
-                        TransBorrow.stock_id == StockSemi.id,
-                        TransBorrow.source_table == 'stock_semi'
-                    )
-                ).join(
-                    MaterialBase, StockSemi.base_id == MaterialBase.id
-                ).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
+            # ============================================================
+            # ★ 批量预加载物料名称（三步：收集ID → 批量JOIN → SKU兜底）
+            # ============================================================
+            items_with_names = []
+            items = detail_records
+            if items:
+                # 步骤 1：收集所有 (source_table, stock_id) 对
+                stock_ids_by_table = {'stock_buy': set(), 'stock_semi': set(), 'stock_product': set()}
+                for item in items:
+                    if item.source_table in stock_ids_by_table and item.stock_id:
+                        stock_ids_by_table[item.source_table].add(item.stock_id)
 
-                product_match = db.session.query(TransBorrow.id).join(
-                    StockProduct, and_(
-                        TransBorrow.stock_id == StockProduct.id,
-                        TransBorrow.source_table == 'stock_product'
-                    )
-                ).join(
-                    MaterialBase, StockProduct.base_id == MaterialBase.id
-                ).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
-
-                all_matches = db.session.query(buy_match.c.id).union(
-                    db.session.query(semi_match.c.id),
-                    db.session.query(product_match.c.id)
-                ).subquery()
-
-                keyword_conditions = TransBorrow.id.in_(all_matches)
-
-            else:
-                keyword_conditions = None
-        else:
-            keyword_conditions = None
-
-        if keyword_conditions is not None:
-            q = q.filter(keyword_conditions)
-
-        if status == 'borrowed':
-            q = q.filter(TransBorrow.is_returned == False)
-        elif status == 'returned':
-            q = q.filter(TransBorrow.is_returned == True)
-
-        # 使用 distinct 防止跨表查询产生重复记录
-        q = q.distinct()
-
-        q = q.order_by(nullslast(asc(TransBorrow.expected_return_time)))
-        pagination = q.paginate(page=page, per_page=limit, error_out=False)
-
-        # ============================================================
-        # ★ 批量预加载物料名称（两步：收集ID → 批量 JOIN → 内存拼装）
-        # ============================================================
-        items_with_names = []
-        items = pagination.items
-        if items:
-            # 步骤 1：收集所有 (source_table, stock_id) 对
-            stock_ids_by_table = {'stock_buy': set(), 'stock_semi': set(), 'stock_product': set()}
-            for item in items:
-                if item.source_table in stock_ids_by_table and item.stock_id:
-                    stock_ids_by_table[item.source_table].add(item.stock_id)
-
-            # 步骤 2：批量查询库存表并 JOIN MaterialBase
-            stock_map = {}  # { ('stock_buy', 101): '物料名称', ... }
-            model_map = {
-                'stock_buy': StockBuy,
-                'stock_semi': StockSemi,
-                'stock_product': StockProduct
-            }
-            for table_name, ids in stock_ids_by_table.items():
-                if not ids:
-                    continue
-                ModelClass = model_map.get(table_name)
-                if not ModelClass:
-                    continue
-                stocks = ModelClass.query.options(
-                    joinedload(ModelClass.base)
-                ).filter(ModelClass.id.in_(ids)).all()
-                for stock in stocks:
-                    name = stock.base.name if stock.base else ''
-                    stock_map[(table_name, stock.id)] = name
-
-            # 步骤 3（前置）：收集 SKU 兜底候选集
-            empty_sku_set = set()
-            for item in items:
-                name = stock_map.get((item.source_table, item.stock_id), '')
-                if not name and item.sku:
-                    empty_sku_set.add(item.sku)
-
-            # 步骤 3（前置）：SKU 兜底批量查询
-            # 场景：库存记录被跨表转移（删旧建新）时，trans_borrow.stock_id 指向孤立记录
-            #       通过 sku 在三张库存表中查找任意匹配，再通过 base_id 获取 MaterialBase.name
-            sku_name_map = {}
-            if empty_sku_set:
-                for ModelClass in [StockProduct, StockSemi, StockBuy]:
+                # 步骤 2：批量查询库存表并 JOIN MaterialBase
+                stock_map = {}  # { ('stock_buy', 101): '物料名称', ... }
+                model_map = {
+                    'stock_buy': StockBuy,
+                    'stock_semi': StockSemi,
+                    'stock_product': StockProduct
+                }
+                for table_name, ids in stock_ids_by_table.items():
+                    if not ids:
+                        continue
+                    ModelClass = model_map.get(table_name)
+                    if not ModelClass:
+                        continue
                     stocks = ModelClass.query.options(
                         joinedload(ModelClass.base)
-                    ).filter(
-                        ModelClass.sku.in_(empty_sku_set)
-                    ).all()
+                    ).filter(ModelClass.id.in_(ids)).all()
                     for stock in stocks:
-                        if stock.sku not in sku_name_map and stock.base:
-                            sku_name_map[stock.sku] = stock.base.name
+                        name = stock.base.name if stock.base else ''
+                        stock_map[(table_name, stock.id)] = name
 
-            # 步骤 3：为每条记录注入 material_name（含 SKU 兜底）
-            for item in items:
-                item_dict = item.to_dict()
-                material_name = stock_map.get((item.source_table, item.stock_id), '')
-                if not material_name and item.sku:
-                    material_name = sku_name_map.get(item.sku, '')
-                item_dict['material_name'] = material_name
-                items_with_names.append(item_dict)
+                # 步骤 3（前置）：收集 SKU 兜底候选集
+                empty_sku_set = set()
+                for item in items:
+                    name = stock_map.get((item.source_table, item.stock_id), '')
+                    if not name and item.sku:
+                        empty_sku_set.add(item.sku)
 
-            items_data = items_with_names
-        else:
-            items_data = []
+                # 步骤 3（前置）：SKU 兜底批量查询
+                # 场景：库存记录被跨表转移（删旧建新）时，trans_borrow.stock_id 指向孤立记录
+                #       通过 sku 在三张库存表中查找任意匹配，再通过 base_id 获取 MaterialBase.name
+                sku_name_map = {}
+                if empty_sku_set:
+                    for ModelClass in [StockProduct, StockSemi, StockBuy]:
+                        stocks = ModelClass.query.options(
+                            joinedload(ModelClass.base)
+                        ).filter(
+                            ModelClass.sku.in_(empty_sku_set)
+                        ).all()
+                        for stock in stocks:
+                            if stock.sku not in sku_name_map and stock.base:
+                                sku_name_map[stock.sku] = stock.base.name
 
-        return {
-            'items': items_data,
-            'total': pagination.total,
-            'page': page,
-            'limit': limit
-        }
+                # 步骤 3：为每条记录注入 material_name（含 SKU 兜底）
+                for item in items:
+                    item_dict = item.to_dict()
+                    material_name = stock_map.get((item.source_table, item.stock_id), '')
+                    if not material_name and item.sku:
+                        material_name = sku_name_map.get(item.sku, '')
+                    item_dict['material_name'] = material_name
+                    items_with_names.append(item_dict)
+
+            return {
+                'items': items_with_names,
+                'total': total_orders,
+                'page': page,
+                'limit': limit
+            }
+        except Exception as e:
+            # ★ 捕鼠器：把任何 SQL/运行时错误以 500 + traceback 返回，避免静默吞噬
+            import traceback
+            return {
+                'code': 500,
+                'msg': str(e),
+                'trace': traceback.format_exc(),
+                'items': [],
+                'total': 0,
+                'page': page,
+                'limit': limit
+            }

inventory-web/src/App.vue

@@ -239,7 +239,7 @@ const handleLogout = () => {
     <footer v-if="!isLoginPage" class="app-footer">
       <span class="version-tag">
         <el-icon style="vertical-align: middle; margin-right: 4px"><InfoFilled /></el-icon>
-        当前版本:V3.48
+        当前版本:V3.49
       </span>
     </footer>