优化前端

browser_login/fetch_receipt_details_full.py

@@ -19,7 +19,17 @@ SAVE_PATH = OUTPUT_DIR / "receipt_details_full_clean.json"
 def fetch_receipt_details_full():
     log("INFO", "=== 🚚 启动收货明细报表全量抓取 (精简字段模式) ===")
     page = get_page(port=9222)
+    
+    # 尝试加载已有的存档，实现真正的断点累加
     all_clean_items = []
+    if SAVE_PATH.exists():
+        try:
+            with open(SAVE_PATH, "r", encoding="utf-8") as f:
+                all_clean_items = json.load(f)
+            log("INFO", f"📦 已加载本地历史存档，包含 {len(all_clean_items)} 条数据。")
+        except Exception as e:
+            log("WARN", f"加载本地存档失败: {e}，将从空列表开始。")
+            all_clean_items = []
     
     try:
         log("INFO", f"正在回到主页起点: {HOME_URL}")
@@ -75,43 +85,107 @@ def fetch_receipt_details_full():
             return
             
         # =========================================================
-        # 第一页数据处理
+        # 第一页数据处理 (如果触发断点，则忽略第一页数据)
         # =========================================================
         log("OK", f"🎉 成功拦截到第一页数据！HTTP: {packet.response.status}")
         body = packet.response.body
         data = body if isinstance(body, (dict, list)) else json.loads(body)
         
+        # 设定开始抓取的页码，1表示从头开始抓全量数据
+        target_resume_page = 690
+        
         total_count = 0
         if isinstance(data, dict) and "result" in data:
             total_count = data["result"].get("totalCount", 0)
             items = data["result"].get("items", [])
-            for item in items:
+            
-                all_clean_items.append({
+            # 只有当不是断点续传（即从第1页开始）时，才把第一页的数据加入列表
-                    "采购订单号": item.get("purchaseOrderCode"),
+            if target_resume_page <= 1:
-                    "行号": item.get("rowsNum"),
+                for item in items:
-                    "物料代码": item.get("materialCode"),
+                    all_clean_items.append({
-                    "物料名称": item.get("materialName"),
+                        "采购订单号": item.get("purchaseOrderCode"),
-                    "物料规格": item.get("materialSpecification"),
+                        "行号": item.get("rowsNum"),
-                    "仓库代码": item.get("warehouseCode"),
+                        "物料代码": item.get("materialCode"),
-                    "仓库名称": item.get("warehouseName"),
+                        "物料名称": item.get("materialName"),
-                    "供应商代码": item.get("supplierCode"),
+                        "物料规格": item.get("materialSpecification"),
-                    "供应商名称": item.get("supplierName"),
+                        "仓库代码": item.get("warehouseCode"),
-                    "单位名称": item.get("unitName"),
+                        "仓库名称": item.get("warehouseName"),
-                    "转换单位": item.get("convertUnitName"),
+                        "供应商代码": item.get("supplierCode"),
-                    "收货单价": item.get("receivePrice"),
+                        "供应商名称": item.get("supplierName"),
-                    "收货时间": item.get("receiptTime"),
+                        "单位名称": item.get("unitName"),
-                    "进货数量": item.get("convertPlannedPurchaseQuantity") if item.get("convertPlannedPurchaseQuantity") is not None else item.get("plannedPurchaseQuantity"),
+                        "转换单位": item.get("convertUnitName"),
-                    "收货数量": item.get("convertGoodsQuantity") if item.get("convertGoodsQuantity") is not None else item.get("goodsQuantity"),
+                        "收货单价": item.get("receivePrice"),
-                    "收货总金额": item.get("receiveAmount")
+                        "收货时间": item.get("receiptTime"),
-                })
+                        "进货数量": item.get("plannedPurchaseQuantity"),
-            log("OK", f"第一页清洗完成，提取了 {len(items)} 条数据。后端报告总条数: {total_count}")
+                        "收货数量": item.get("convertGoodsQuantity") if item.get("convertGoodsQuantity") is not None else item.get("goodsQuantity"),
+                        "收货总金额": item.get("receiveAmount")
+                    })
+                log("OK", f"第一页清洗完成，提取了 {len(items)} 条数据。后端报告总条数: {total_count}")
+            else:
+                log("INFO", f"触发断点续传，跳过第一页的数据保存。后端报告总条数: {total_count}")
             
         page_num = 1
         
+        # =========================================================
+        # 断点续传逻辑 (由于刚才中断在 711 页，我们需要跳到 712 页继续)
+        # =========================================================
+        
+        if target_resume_page > 1:
+            log("INFO", f"🚀 触发断点续传机制！准备直接跳转到第 {target_resume_page} 页...")
+            # 尝试找页码输入框
+            jumper_input_xpath = 'xpath://*[@id="app"]/div/div[1]/div[2]/div[2]/div[1]/div[2]/div/div[2]/div[1]/span[3]/div/div//input'
+            input_ele = page.ele(jumper_input_xpath, timeout=5)
+            
+            if not input_ele:
+                jumper_input_xpath = 'xpath://input[@type="number" and @aria-label="页"]'
+                input_ele = page.ele(jumper_input_xpath, timeout=5)
+                
+            if input_ele:
+                input_ele.clear()
+                input_ele.input(str(target_resume_page))
+                time.sleep(0.5)
+                input_ele.input('\n')
+                
+                packet = page.listen.wait(timeout=15)
+                if not packet:
+                    log("ERR", "断点跳转失败，未拦截到目标页的数据请求。")
+                    return
+                    
+                log("OK", f"✅ 成功跳转至第 {target_resume_page} 页并截获数据！")
+                page_num = target_resume_page
+                
+                # 读取并解析第 191 页的数据
+                body = packet.response.body
+                data = body if isinstance(body, (dict, list)) else json.loads(body)
+                if isinstance(data, dict) and "result" in data:
+                    items = data["result"].get("items", [])
+                    for item in items:
+                        all_clean_items.append({
+                            "采购订单号": item.get("purchaseOrderCode"),
+                            "行号": item.get("rowsNum"),
+                            "物料代码": item.get("materialCode"),
+                            "物料名称": item.get("materialName"),
+                            "物料规格": item.get("materialSpecification"),
+                            "仓库代码": item.get("warehouseCode"),
+                            "仓库名称": item.get("warehouseName"),
+                            "供应商代码": item.get("supplierCode"),
+                            "供应商名称": item.get("supplierName"),
+                            "单位名称": item.get("unitName"),
+                            "转换单位": item.get("convertUnitName"),
+                            "收货单价": item.get("receivePrice"),
+                            "收货时间": item.get("receiptTime"),
+                            "进货数量": item.get("plannedPurchaseQuantity"),
+                            "收货数量": item.get("convertGoodsQuantity") if item.get("convertGoodsQuantity") is not None else item.get("goodsQuantity"),
+                            "收货总金额": item.get("receiveAmount")
+                        })
+                    log("OK", f"第 {page_num} 页清洗完成，累计提取 {len(all_clean_items)} 条数据。")
+            else:
+                log("ERR", "找不到页码输入框，断点跳转失败，将从第 1 页继续！")
+
+        
         # =========================================================
         # 循环翻页抓取
         # =========================================================
-        next_btn_xpath = 'xpath://*[@id="app"]/div/div[1]/div[2]/div[2]/div[1]/div[2]/div/div[2]/div[1]/button[2]'
         
         while True:
             # 引入“类人”随机延迟（2.5 秒到 5.5 秒之间随机）
@@ -125,10 +199,31 @@ def fetch_receipt_details_full():
                 log("INFO", f"☕️ 已经连续高强度翻了 {page_num} 页，触发风控规避机制，假装喝水休息 {long_delay:.2f} 秒...")
                 time.sleep(long_delay)
             
-            next_btn = page.ele(next_btn_xpath, timeout=5)
+            # 兼容多种 ElementUI 翻页按钮的特征
+            # 为了防止由于网络延迟导致的 DOM 元素短暂消失，我们加入重试机制
+            next_btn = None
+            for _ in range(3):
+                next_btn = page.ele('xpath://button[contains(@class, "btn-next")]', timeout=3)
+                if next_btn:
+                    break
+                time.sleep(1)
+            
+            # 【修复】当跳页页数大于 400 页时，某些页面的 ElementUI 分页组件会为了节省 DOM 而卸载 next_btn 
+            # 或者被包裹在隐藏容器里。如果在页面底部直接寻找带有 "btn-next" 且不包含 disabled 的按钮
             if not next_btn:
-                log("ERR", "找不到下一页按钮，翻页中止。")
+                # 尝试备用定位方式：直接找右箭头图标所在的按钮
-                break
+                next_btn = page.ele('xpath://i[contains(@class, "el-icon-arrow-right")]/parent::button', timeout=3)
+            
+            if not next_btn:
+                log("ERR", "重试 3 次后仍然找不到下一页按钮，可能是页面崩溃或会话超时，尝试强制刷新页面...")
+                page.refresh()
+                page.wait.load_start()
+                time.sleep(5)
+                # 刷新后尝试重新找一次
+                next_btn = page.ele('xpath://button[contains(@class, "btn-next")]', timeout=5)
+                if not next_btn:
+                    log("ERR", "刷新后依然找不到下一页按钮，彻底中止。")
+                    break
                 
             # 检查按钮是否被禁用
             class_str = str(next_btn.attr("class"))
@@ -212,6 +307,13 @@ def fetch_receipt_details_full():
             with open(rescue_path, "w", encoding="utf-8") as f:
                 json.dump(all_clean_items, f, ensure_ascii=False, indent=2)
             log("INFO", f"🆘 触发异常保存，抢救了 {len(all_clean_items)} 条数据。")
+    finally:
+        # 无论脚本正常结束还是异常退出，都强制停止监听，防止成为僵尸爬虫
+        try:
+            page.listen.stop()
+            log("INFO", "🛑 已释放浏览器监听资源。")
+        except:
+            pass
 
 if __name__ == "__main__":
     fetch_receipt_details_full()

browser_login/fetch_receipt_details_incremental.py

@@ -224,8 +224,17 @@ def fetch_receipt_details_incremental():
                 log("INFO", f"⏳ 停顿 {delay:.2f} 秒后点击下一页...")
                 time.sleep(delay)
                 
-                next_btn_xpath = 'xpath://*[@id="app"]/div/div[1]/div[2]/div[2]/div[1]/div[2]/div/div[2]/div[1]/button[2]'
+                # 同步全量脚本的优化：重试机制与兼容的类名匹配
-                next_btn = page.ele(next_btn_xpath, timeout=5)
+                next_btn = None
+                for _ in range(3):
+                    next_btn = page.ele('xpath://button[contains(@class, "btn-next")]', timeout=3)
+                    if next_btn:
+                        break
+                    time.sleep(1)
+                
+                # 备用定位方式：直接找右箭头图标所在的按钮
+                if not next_btn:
+                    next_btn = page.ele('xpath://i[contains(@class, "el-icon-arrow-right")]/parent::button', timeout=3)
                 
                 if next_btn:
                     try: next_btn.click()
@@ -236,7 +245,7 @@ def fetch_receipt_details_incremental():
                         log("ERR", f"第 {current_page + 1} 页请求超时！")
                         break
                 else:
-                    log("ERR", "找不到下一页按钮！")
+                    log("ERR", "重试 3 次后仍然找不到下一页按钮！")
                     break
                     
             current_page += 1
@@ -246,8 +255,13 @@ def fetch_receipt_details_incremental():
     except Exception as e:
         log("ERR", f"发生全局异常: {e}")
     finally:
-        conn.close()
+        if 'conn' in locals() and conn:
-        page.listen.stop()
+            conn.close()
+        if 'page' in locals() and page:
+            try:
+                page.listen.stop()
+            except Exception:
+                pass
 
 if __name__ == "__main__":
     fetch_receipt_details_incremental()

web_ui/app.py

@@ -149,8 +149,6 @@ def get_receipts():
 def sync_receipts():
     """触发后台运行收货明细增量抓取脚本（修复跨机器路径问题）"""
     import sys
-    import io
-    import contextlib
     
     if str(BROWSER_LOGIN_DIR) not in sys.path:
         sys.path.insert(0, str(BROWSER_LOGIN_DIR))
@@ -158,16 +156,13 @@ def sync_receipts():
     try:
         from fetch_receipt_details_incremental import fetch_receipt_details_incremental
         
-        # 捕获函数内部的 print/log 输出
+        # 将长时间运行的抓取任务放入后台线程，防止前端请求超时
-        f = io.StringIO()
+        threading.Thread(target=fetch_receipt_details_incremental, daemon=True).start()
-        with contextlib.redirect_stdout(f), contextlib.redirect_stderr(f):
-            fetch_receipt_details_incremental()
             
-        logs = f.getvalue()
         return jsonify({
             "success": True, 
-            "message": "增量同步执行完成",
+            "message": "增量同步任务已在后台启动！请观察黑框控制台的运行日志。",
-            "logs": logs
+            "logs": "任务已在后台运行..."
         })
     except ImportError:
         return jsonify({"success": False, "message": "找不到增量抓取脚本或导入失败"}), 404
@@ -178,8 +173,6 @@ def sync_receipts():
 def sync_bom():
     """触发后台运行 BOM 成本全量抓取脚本（修复跨机器路径问题）"""
     import sys
-    import io
-    import contextlib
     
     if str(BROWSER_LOGIN_DIR) not in sys.path:
         sys.path.insert(0, str(BROWSER_LOGIN_DIR))
@@ -187,16 +180,13 @@ def sync_bom():
     try:
         from fetch_bom_cost_full_tree import fetch_bom_cost_tree
         
-        # 捕获函数内部的 print/log 输出
+        # 将长时间运行的抓取任务放入后台线程，防止前端请求超时
-        f = io.StringIO()
+        threading.Thread(target=fetch_bom_cost_tree, daemon=True).start()
-        with contextlib.redirect_stdout(f), contextlib.redirect_stderr(f):
-            fetch_bom_cost_tree()
             
-        logs = f.getvalue()
         return jsonify({
             "success": True, 
-            "message": "BOM 同步执行完成",
+            "message": "BOM 树抓取任务已在后台启动！预计耗时 10-20 分钟，请观察黑框控制台的运行日志。",
-            "logs": logs
+            "logs": "任务已在后台运行..."
         })
     except ImportError:
         return jsonify({"success": False, "message": "找不到 BOM 抓取脚本或导入失败"}), 404
@@ -447,19 +437,8 @@ def compare_page():
     """渲染 BOM 成本期间对比分析页面"""
     return render_template('bom_compare.html')
 
-@app.route('/api/bom_tree_compare/<parent_code>')
+def build_bom_compare_tree(parent_code, start_a, end_a, start_b, end_b):
-def get_bom_tree_compare(parent_code):
+    """构建用于成本对比分析的 BOM 树数据"""
-    """
-    为成本对比页面提供带时间段价格分析的 BOM 树数据。
-    前端需要传入两个时间段参数：
-    start_a, end_a (期间 A)
-    start_b, end_b (期间 B)
-    """
-    start_a = request.args.get('start_a')
-    end_a = request.args.get('end_a')
-    start_b = request.args.get('start_b')
-    end_b = request.args.get('end_b')
-    
     conn = get_db_connection()
     
     # 1. 查出基本结构
@@ -470,7 +449,7 @@ def get_bom_tree_compare(parent_code):
     
     if not parent_info:
         conn.close()
-        return jsonify({"error": "找不到该父件"}), 404
+        return None, "找不到该父件"
         
     children_records = conn.execute(
         'SELECT id, node_material_code, node_material_name, parent_node_id, bom_level, usage_qty FROM bom_child WHERE parent_material_code = ?',
@@ -578,19 +557,12 @@ def get_bom_tree_compare(parent_code):
                     prices_dict[code][status_key] = 'fallback' # 标记为使用了历史最近价
                     fallback_found.add(code)
                     
-                # 3. 如果连期间之前的历史记录都没有，但它有基准价（说明是在期间之后才采购的），也算是 fallback 还是 missing？
-                # 我们之前定义的是“无任何历史记录”才标红。所以，如果它有最新基准价（latest_price > 0），
-                # 说明这东西买过，只是在 start_date 之前没买过。我们不应该把它标红（missing），而应该标为普通的没价格或者某种特殊颜色。
-                # 但为了严谨：既然我们在 start_date 之前没买过，意味着期初无库存/无价格，期间也没买，那这期间的价格只能是 0。
-                # 并且如果 latest_price > 0，说明它并非“历史从未采购”，我们把它标为 fallback 但价格是 0。
                 for code in missing_codes:
                     if code not in fallback_found:
                         prices_dict[code][period_key] = 0.0
                         if prices_dict[code].get('latest_price', 0) > 0:
-                            # 有基准价，但在该期间和该期间之前都没买过，这不算“从未采购过”
                             prices_dict[code][status_key] = 'fallback' 
                         else:
-                            # 彻底查不到任何记录，才是真正的 missing
                             prices_dict[code][status_key] = 'missing'
 
         # --- B. 处理期间 A ---
@@ -655,19 +627,11 @@ def get_bom_tree_compare(parent_code):
         
         has_children = bool(node.get('children'))
         
-        # 判断一个节点在业务上是不是真的“组件”还是“采购件”
-        # 即使它没有子节点（抓取时下面没数据），但如果它自身没有采购价（latestUnitPrice == 0）
-        # 且在实际业务中它是挂在 BOM 上的（说明是个虚拟组件或大总成），我们也不该给它标颜色
-        is_real_purchased_leaf = (not has_children) and (node['latestUnitPrice'] > 0 or node['periodAStatus'] != 'missing' or node['periodBStatus'] != 'missing')
-        
         if not has_children:
-            # 叶子节点，核心逻辑修改：区分是否是 1PZJ 铸件
             if code and code.startswith('1PZJ') and node.get('castingWeight'):
-                # 铸件：总成本 = BOM 用量(件) * 单件重量(KG/件) * 采购单价(元/KG)
                 multiplier = usage_qty * float(node['castingWeight'])
                 node['calcType'] = 'casting'
             else:
-                # 普通件：总成本 = BOM 用量 * 采购单价
                 multiplier = usage_qty
                 node['calcType'] = 'normal'
                 
@@ -675,9 +639,6 @@ def get_bom_tree_compare(parent_code):
             node['totalPeriodA'] = node['periodAUnitPrice'] * multiplier
             node['totalPeriodB'] = node['periodBUnitPrice'] * multiplier
             
-            # 只要它是叶子节点，我们就给它标颜色。
-            # 如果它真的是虚拟件（基准价是 0，且 A B 都是 missing），那就大大方方给它标红点
-            # 用户刚才反馈说有的子件有基准价但是连点都没标，就是因为之前那个 is_real_purchased_leaf 过滤得太严格或者有 Bug。
             node['showAStatus'] = node['periodAStatus']
             node['showBStatus'] = node['periodBStatus']
         else:
@@ -691,33 +652,186 @@ def get_bom_tree_compare(parent_code):
                 total_a += child['totalPeriodA']
                 total_b += child['totalPeriodB']
                 
-            # 父件总成本 = (子件成本之和) * 父件自身的耗用量
-            # 如果累加为0但自身有价格，使用 (自身单价 * 自身耗用量) 作为兜底
             node['totalLatest'] = (total_latest if total_latest > 0 else node['latestUnitPrice']) * usage_qty
             node['totalPeriodA'] = (total_a if total_a > 0 else node['periodAUnitPrice']) * usage_qty
             node['totalPeriodB'] = (total_b if total_b > 0 else node['periodBUnitPrice']) * usage_qty
             
-            # 父件的累加成本是由众多子件构成的，所以不显示单一的黄/红状态灯
             node['showAStatus'] = 'normal'
             node['showBStatus'] = 'normal'
             
     calc_compare_costs(root_tree)
+    return root_tree, None
+
+@app.route('/api/bom_tree_compare/<parent_code>')
+def get_bom_tree_compare(parent_code):
+    """
+    为成本对比页面提供带时间段价格分析的 BOM 树数据。
+    """
+    start_a = request.args.get('start_a')
+    end_a = request.args.get('end_a')
+    start_b = request.args.get('start_b')
+    end_b = request.args.get('end_b')
+    
+    root_tree, error = build_bom_compare_tree(parent_code, start_a, end_a, start_b, end_b)
+    if error:
+        return jsonify({"error": error}), 404
     
     # 为了配合 ElementUI 的树形表格，根节点必须包装在数组里
     return jsonify([root_tree])
 
-def open_browser():
+import openpyxl
+from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
+from openpyxl.utils import get_column_letter
+from flask import send_file
+
+@app.route('/api/export_compare/<parent_code>')
+def export_compare(parent_code):
+    start_a = request.args.get('start_a')
+    end_a = request.args.get('end_a')
+    start_b = request.args.get('start_b')
+    end_b = request.args.get('end_b')
+    
+    root_tree, error = build_bom_compare_tree(parent_code, start_a, end_a, start_b, end_b)
+    if error:
+        return jsonify({"error": error}), 404
+        
+    wb = openpyxl.Workbook()
+    ws = wb.active
+    ws.title = "BOM成本对比"
+    
+    # 定义样式
+    header_fill = PatternFill(start_color="409EFF", end_color="409EFF", fill_type="solid")
+    header_font = Font(color="FFFFFF", bold=True)
+    center_align = Alignment(horizontal="center", vertical="center")
+    border = Border(left=Side(style='thin'), right=Side(style='thin'), 
+                    top=Side(style='thin'), bottom=Side(style='thin'))
+    
+    headers = [
+        "物料代码", "物料名称", "BOM层级", "用量", "单位", 
+        "最新单价", "最新总成本", 
+        f"期间A单价 ({start_a or '无'}至{end_a or '无'})", f"期间A总成本", 
+        f"期间B单价 ({start_b or '无'}至{end_b or '无'})", f"期间B总成本",
+        "单价差异 (B-A)", "总成本差异 (B-A)"
+    ]
+    
+    ws.append(headers)
+    for col_idx, cell in enumerate(ws[1], 1):
+        cell.fill = header_fill
+        cell.font = header_font
+        cell.alignment = center_align
+        cell.border = border
+        ws.column_dimensions[get_column_letter(col_idx)].width = 15
+        
+    ws.column_dimensions['A'].width = 18
+    ws.column_dimensions['B'].width = 30
+    ws.column_dimensions['H'].width = 25
+    ws.column_dimensions['J'].width = 25
+    
+    def write_node_to_excel(node, level=0):
+        # 差异计算逻辑（同前端）
+        period_a_unit = node.get('periodAUnitPrice', 0) or 0
+        period_b_unit = node.get('periodBUnitPrice', 0) or 0
+        diff_unit = period_b_unit - period_a_unit
+        
+        period_a_total = node.get('totalPeriodA', 0) or 0
+        period_b_total = node.get('totalPeriodB', 0) or 0
+        diff_total = period_b_total - period_a_total
+        
+        prefix = "  " * level
+        
+        row_data = [
+            node.get('materialCode', ''),
+            prefix + node.get('materialName', ''),
+            node.get('bomLevel', ''),
+            node.get('usageQty', 1),
+            node.get('unitName', ''),
+            node.get('latestUnitPrice', 0),
+            node.get('totalLatest', 0),
+            period_a_unit,
+            period_a_total,
+            period_b_unit,
+            period_b_total,
+            diff_unit,
+            diff_total
+        ]
+        
+        ws.append(row_data)
+        current_row = ws.max_row
+        
+        # 简单格式化
+        for col_idx, cell in enumerate(ws[current_row], 1):
+            cell.border = border
+            if col_idx in [6, 7, 8, 9, 10, 11, 12, 13]:
+                cell.number_format = '0.00'
+                
+        # 递归子节点
+        if node.get('children'):
+            for child in node['children']:
+                write_node_to_excel(child, level + 1)
+                
+    write_node_to_excel(root_tree)
+    
+    output = io.BytesIO()
+    wb.save(output)
+    output.seek(0)
+    
+    filename = f"BOM成本对比_{parent_code}.xlsx"
+    return send_file(
+        output,
+        as_attachment=True,
+        download_name=filename,
+        mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
+    )
+
+def open_browser(port):
     """延迟 1.5 秒后自动打开系统默认浏览器"""
     time.sleep(1.5)
-    url = "http://127.0.0.1:5050"
+    url = f"http://127.0.0.1:{port}"
     print(f"🚀 正在自动打开浏览器: {url}")
     webbrowser.open(url)
 
+def find_free_port(start_port=5050, max_port=5100):
+    """自动寻找未被占用的端口，避免 Windows 10013 端口被拒错误"""
+    import socket
+    for port in range(start_port, max_port):
+        # 尝试通过创建 socket 并监听来确认端口是否真的可用
+        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+            # 开启端口复用，避免 TIME_WAIT 状态导致误判
+            s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
+            try:
+                # 绑定到 127.0.0.1 而不是 0.0.0.0
+                s.bind(('127.0.0.1', port))
+                return port
+            except OSError:
+                continue
+    
+    # 如果 5050-5100 都被占用或被拦截，尝试让系统随机分配一个端口
+    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+        s.bind(('127.0.0.1', 0))
+        return s.getsockname()[1]
+
 if __name__ == '__main__':
+    # 动态获取一个可用端口
+    try:
+        port = find_free_port()
+    except Exception as e:
+        print(f"⚠️ 无法自动获取端口，回退到默认端口: {e}")
+        port = 5050
+    
     # 启动前开启一个线程去拉起浏览器
-    threading.Thread(target=open_browser, daemon=True).start()
+    threading.Thread(target=open_browser, args=(port,), daemon=True).start()
     
     # 启动后端服务
-    print("🚀 前端展示后端服务已启动！请在浏览器访问: http://127.0.0.1:5050")
+    print(f"🚀 前端展示后端服务已启动！请在浏览器访问: http://127.0.0.1:{port}")
-    # 更改默认端口为 5050，避开 macOS 控制中心的 5000 端口占用
+    
-    app.run(debug=False, host='0.0.0.0', port=5050)
+    # 智能判断：如果是通过 PyInstaller 打包运行的，则关闭热加载以避免多进程冲突和双开浏览器
+    is_frozen = getattr(sys, 'frozen', False)
+    
+    # 更改为动态端口，避开被占用的端口。修改 host 为 127.0.0.1 避免 Windows 权限拦截
+    app.run(
+        debug=not is_frozen, 
+        host='127.0.0.1', 
+        port=port, 
+        threaded=True, 
+        use_reloader=not is_frozen
+    )

web_ui/templates/bom_compare.html

@@ -211,7 +211,7 @@
                 <div class="toolbar" v-if="currentParentCode">
                     <!-- 第一行：期间选择 -->
                     <el-row :gutter="20" type="flex" align="middle" style="flex-wrap: wrap; margin-bottom: 10px;">
-                        <el-col :span="11">
+                        <el-col :span="10">
                             <span style="font-size: 14px; font-weight: bold; margin-right: 10px;">期间 A (基准期)</span>
                             <el-date-picker
                                 v-model="periodA_start"
@@ -232,7 +232,7 @@
                             </el-date-picker>
                         </el-col>
                         
-                        <el-col :span="11">
+                        <el-col :span="10">
                             <span style="font-size: 14px; font-weight: bold; margin-right: 10px;">期间 B (对比期)</span>
                             <el-date-picker
                                 v-model="periodB_start"
@@ -252,8 +252,9 @@
                                 style="width: 140px;">
                             </el-date-picker>
                         </el-col>
-                        <el-col :span="2">
+                        <el-col :span="4" style="display: flex; gap: 10px;">
                             <el-button type="primary" size="small" icon="el-icon-search" @click="fetchTreeData" :loading="loadingData">执行对比</el-button>
+                            <el-button type="success" size="small" icon="el-icon-download" @click="exportExcel" :loading="exporting">导出 Excel</el-button>
                         </el-col>
                     </el-row>
                     
@@ -418,6 +419,7 @@
                     parents: [],
                     loadingParents: false,
                     loadingData: false,
+                    exporting: false,
                     currentParentCode: null,
                     tableData: [],
                     originalTableData: [],
@@ -562,6 +564,59 @@
                     };
                     
                     this.tableData = filterInvisibleNodes(newData);
+                },
+                
+                exportExcel() {
+                    if (!this.currentParentCode) {
+                        this.$message.warning('请先选择一个成品父件并执行对比');
+                        return;
+                    }
+                    
+                    if (!this.periodA_start || !this.periodA_end || !this.periodB_start || !this.periodB_end) {
+                        this.$message.warning('请完整选择期间A和期间B的时间范围');
+                        return;
+                    }
+                    
+                    this.exporting = true;
+                    
+                    const params = new URLSearchParams({
+                        start_a: this.periodA_start,
+                        end_a: this.periodA_end,
+                        start_b: this.periodB_start,
+                        end_b: this.periodB_end
+                    });
+                    
+                    axios({
+                        url: `/api/export_compare/${this.currentParentCode}?${params.toString()}`,
+                        method: 'GET',
+                        responseType: 'blob' // 重要：设置响应类型为 blob
+                    })
+                    .then(response => {
+                        // 创建下载链接
+                        const url = window.URL.createObjectURL(new Blob([response.data]));
+                        const link = document.createElement('a');
+                        link.href = url;
+                        // 从响应头中获取文件名，如果没有则使用默认文件名
+                        const contentDisposition = response.headers['content-disposition'];
+                        let fileName = `BOM成本对比_${this.currentParentCode}.xlsx`;
+                        if (contentDisposition) {
+                            const fileNameMatch = contentDisposition.match(/filename="?(.+)"?/);
+                            if (fileNameMatch && fileNameMatch.length === 2) {
+                                fileName = decodeURIComponent(fileNameMatch[1]);
+                            }
+                        }
+                        link.setAttribute('download', fileName);
+                        document.body.appendChild(link);
+                        link.click();
+                        document.body.removeChild(link);
+                        window.URL.revokeObjectURL(url);
+                        this.exporting = false;
+                        this.$message.success('导出成功');
+                    })
+                    .catch(error => {
+                        this.exporting = false;
+                        this.$message.error('导出失败，请重试');
+                    });
                 }
             }
         })