docs: update project structure and add database documentation

- Add tests/ directory to .gitignore
- Document database connectivity with pyodbc and config
- Add project structure and file organization guidelines
- Update installation steps to use requirements.txt
- Document new dependencies: pandas, openpyxl, pyodbc

.gitignore

@@ -14,3 +14,7 @@ tmpclaude-*
 *.png
 data/
 orderID.txt
+ProductionID.txt
+
+# 测试脚本
+tests/

CLAUDE.md

@@ -12,8 +12,8 @@ This is a Python automation project using Playwright to interact with a Chinese
 # Activate the virtual environment (Windows)
 .venv\Scripts\activate
 
-# Install dependencies
+# Install all dependencies
-pip install playwright
+pip install -r requirements.txt
 
 # Install Playwright browsers
 playwright install chromium
@@ -23,17 +23,53 @@ playwright install chromium
 
 ```bash
 # Run the main test script
-python test_playwright.py
+python tests/test_playwright.py
 
 # Run the record script
 python record.py
+
+# Run database query test
+python tests/test_db_query.py
 ```
 
 ## Key Dependencies
 
 - **playwright==1.57.0**: Browser automation framework
+- **pyodbc**: SQL Server database connectivity
+- **pandas**: Data processing and Excel file handling
+- **openpyxl**: Excel file operations
 - Uses synchronous API (`playwright.sync_api`)
 
+## Project Structure
+
+```
+playwrite/
+├── config/              # Configuration files (database, etc.)
+├── db/                  # Database connection components
+├── data/                # Data files (excluded from git)
+├── docs/                # Documentation (e.g., DEPENDENCIES.md)
+├── tests/               # Test scripts (excluded from git)
+├── requirements.txt     # Python dependencies
+├── .gitignore          # Git ignore rules
+└── CLAUDE.md           # This file
+```
+
+## File Organization Rules
+
+**IMPORTANT**: When creating test scripts, always place them in the `tests/` folder:
+
+- Test scripts should be prefixed with `test_`
+- All files in `tests/` are excluded from git tracking
+- Examples: `tests/test_playwright.py`, `tests/test_db_query.py`
+
+**Configuration Management**:
+- Place configuration files in `config/` folder
+- Database credentials and settings go in `config/database_config.py`
+
+**Data Storage**:
+- Use `data/` folder for temporary data files
+- This folder is excluded from git tracking
+
 ## Architecture
 
 ### Nested Iframe Structure
@@ -80,6 +116,35 @@ with page.expect_popup() as popup_info:
 new_page = popup_info.value
 ```
 
+### Database Connection
+
+The project uses `pyodbc` to connect to SQL Server for data queries:
+
+```python
+from db.connection import get_connection
+
+# Using context manager
+with get_connection() as db:
+    results = db.execute_query("SELECT * FROM table")
+    # Connection automatically closed
+
+# Using the query helper
+from db.connection import query_production_orders
+results = query_production_orders(['ID1', 'ID2', 'ID3'])
+```
+
+Database configuration is stored in `config/database_config.py`:
+```python
+SQL_SERVER_CONFIG = {
+    'driver': 'ODBC Driver 18 for SQL Server',
+    'server': '192.168.110.114',
+    'database': 'CompanyDB',
+    'username': 'peng',
+    'password': 'Cqbld123456.',
+    'TrustServerCertificate': 'yes'
+}
+```
+
 ## Common Utilities
 
 ### `get_input_by_label(frame, label_text)`

config/__init__.py

@@ -0,0 +1 @@
+# Config package

config/database_config.py

@@ -0,0 +1,9 @@
+# ================= SQL Server 配置 =================
+SQL_SERVER_CONFIG = {
+    'driver': 'ODBC Driver 18 for SQL Server',
+    'server': '192.168.110.114',
+    'database': 'CompanyDB',
+    'username': 'peng',
+    'password': 'Cqbld123456.',
+    'TrustServerCertificate': 'yes'
+}

db/__init__.py

@@ -0,0 +1 @@
+# Database package

db/connection.py

@@ -0,0 +1,184 @@
+"""
+SQL Server 数据库连接组件
+
+提供数据库连接和查询接口
+"""
+import pyodbc
+from typing import List, Dict, Any, Optional
+import sys
+import os
+
+# 添加项目根目录到 sys.path
+project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+if project_root not in sys.path:
+    sys.path.insert(0, project_root)
+
+from config.database_config import SQL_SERVER_CONFIG
+
+
+class DatabaseConnection:
+    """SQL Server 数据库连接类"""
+
+    def __init__(self, config: Optional[Dict[str, Any]] = None):
+        """
+        初始化数据库连接
+
+        Args:
+            config: 数据库配置字典，默认使用 SQL_SERVER_CONFIG
+        """
+        self.config = config or SQL_SERVER_CONFIG
+        self.connection = None
+
+    def connect(self) -> pyodbc.Connection:
+        """
+        建立数据库连接
+
+        Returns:
+            pyodbc.Connection: 数据库连接对象
+        """
+        if self.connection is not None:
+            return self.connection
+
+        # 构建连接字符串
+        conn_str = (
+            f"DRIVER={{{self.config['driver']}}};"
+            f"SERVER={self.config['server']};"
+            f"DATABASE={self.config['database']};"
+            f"UID={self.config['username']};"
+            f"PWD={self.config['password']};"
+            f"TrustServerCertificate={self.config['TrustServerCertificate']};"
+        )
+
+        try:
+            self.connection = pyodbc.connect(conn_str)
+            print(f"成功连接到数据库: {self.config['server']}/{self.config['database']}")
+            return self.connection
+        except pyodbc.Error as e:
+            print(f"数据库连接失败: {e}")
+            raise
+
+    def disconnect(self):
+        """关闭数据库连接"""
+        if self.connection:
+            self.connection.close()
+            self.connection = None
+            print("数据库连接已关闭")
+
+    def execute_query(self, sql: str, params: Optional[tuple] = None) -> List[Dict[str, Any]]:
+        """
+        执行查询语句并返回结果
+
+        Args:
+            sql: SQL 查询语句
+            params: 查询参数（可选）
+
+        Returns:
+            List[Dict[str, Any]]: 查询结果列表，每个元素为一行数据的字典
+        """
+        if not self.connection:
+            self.connect()
+
+        cursor = self.connection.cursor()
+
+        try:
+            if params:
+                cursor.execute(sql, params)
+            else:
+                cursor.execute(sql)
+
+            # 获取列名
+            columns = [column[0] for column in cursor.description]
+
+            # 将结果转换为字典列表
+            results = []
+            for row in cursor.fetchall():
+                results.append(dict(zip(columns, row)))
+
+            return results
+
+        except pyodbc.Error as e:
+            print(f"查询执行失败: {e}")
+            raise
+        finally:
+            cursor.close()
+
+    def execute_update(self, sql: str, params: Optional[tuple] = None) -> int:
+        """
+        执行更新/插入/删除语句
+
+        Args:
+            sql: SQL 语句
+            params: 参数（可选）
+
+        Returns:
+            int: 受影响的行数
+        """
+        if not self.connection:
+            self.connect()
+
+        cursor = self.connection.cursor()
+
+        try:
+            if params:
+                cursor.execute(sql, params)
+            else:
+                cursor.execute(sql)
+
+            self.connection.commit()
+            return cursor.rowcount
+
+        except pyodbc.Error as e:
+            self.connection.rollback()
+            print(f"执行失败，已回滚: {e}")
+            raise
+        finally:
+            cursor.close()
+
+    def __enter__(self):
+        """支持 with 语句的上下文管理器入口"""
+        self.connect()
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        """支持 with 语句的上下文管理器出口"""
+        self.disconnect()
+
+
+# 便捷函数
+def query_production_orders(总排号_list: List[str]) -> List[Dict[str, Any]]:
+    """
+    根据总排号列表查询生产订单号
+
+    Args:
+        总排号_list: 总排号列表
+
+    Returns:
+        List[Dict[str, Any]]: 查询结果
+    """
+    db = DatabaseConnection()
+
+    # 构建占位符字符串
+    placeholders = ','.join(['?' for _ in 总排号_list])
+
+    sql = f"""
+    SELECT [总排号], [生产订单号], [序号], [订单号], [客户名称], [产品型号]
+    FROM [productionContractData].[26年压力表合同数据]
+    WHERE [总排号] IN ({placeholders})
+    ORDER BY [序号]
+    """
+
+    try:
+        results = db.execute_query(sql, tuple(总排号_list))
+        return results
+    finally:
+        db.disconnect()
+
+
+def get_connection() -> DatabaseConnection:
+    """
+    获取数据库连接实例
+
+    Returns:
+        DatabaseConnection: 数据库连接对象
+    """
+    return DatabaseConnection()

docs/DEPENDENCIES.md

@@ -0,0 +1,169 @@
+# 项目依赖说明
+
+## Python 版本要求
+
+- Python >= 3.8
+
+## 依赖安装
+
+```bash
+# 激活虚拟环境 (Windows)
+.venv\Scripts\activate
+
+# 安装所有依赖
+pip install -r requirements.txt
+
+# 安装 Playwright 浏览器
+playwright install chromium
+```
+
+## 核心依赖
+
+### 1. playwright==1.57.0
+
+**用途**: 浏览器自动化框架
+
+**功能模块**:
+- `playwright.sync_api` - 同步 API
+- 浏览器启动与页面操作
+- 元素定位器 (Locator)
+- 弹窗处理 (expect_popup)
+- 嵌套 iframe 处理
+
+**使用文件**:
+- `test_playwright.py` - 主要自动化脚本
+- `record.py` - 录制脚本
+
+**重要**: 安装后需运行 `playwright install chromium` 下载浏览器
+
+---
+
+### 2. pyodbc>=5.0.0
+
+**用途**: SQL Server 数据库连接
+
+**功能模块**:
+- 数据库连接管理
+- SQL 查询执行
+- 事务处理
+
+**使用文件**:
+- `db/connection.py` - 数据库连接组件
+- `test_db_query.py` - 数据库查询测试脚本
+
+**注意**: Windows 系统通常已预装 ODBC 驱动，如遇连接问题请安装 [ODBC Driver 18 for SQL Server](https://learn.microsoft.com/zh-cn/sql/connect/odbc/download-odbc-driver-for-sql-server)
+
+---
+
+### 3. pandas>=2.0.0
+
+**用途**: 数据处理与分析
+
+**功能模块**:
+- DataFrame 数据结构
+- Excel 文件读写
+- 数据清洗与转换
+
+**使用文件**:
+- `excel_to_markdown.py` - Excel 转 Markdown
+- `analyze_excel.py` - Excel 数据分析
+
+---
+
+### 4. openpyxl>=3.1.0
+
+**用途**: Excel 文件操作
+
+**功能模块**:
+- 读取 `.xlsx` 文件
+- 工作表操作
+- 单元格读取
+
+**使用文件**:
+- `excel_to_markdown.py`
+- `analyze_excel.py`
+
+---
+
+### 5. numpy>=1.24.0
+
+**用途**: 数值计算
+
+**说明**: pandas 的依赖包，自动安装
+
+---
+
+### 6. python-dateutil>=2.8.0
+
+**用途**: 日期时间处理
+
+**说明**: pandas 的依赖包，自动安装
+
+---
+
+### 7. pytz>=2023.0
+
+**用途**: 时区处理
+
+**说明**: pandas 的依赖包，自动安装
+
+---
+
+## 传递依赖
+
+以下包由核心依赖自动安装，无需手动指定：
+
+| 包名 | 版本 | 被依赖包 |
+|------|------|----------|
+| greenlet | 3.3.0 | playwright |
+| pyee | 13.0.0 | playwright |
+| typing_extensions | 4.15.0 | 多个包 |
+| et_xmlfile | 2.0.0 | openpyxl |
+| six | 1.17.0 | python-dateutil |
+| tzdata | 2025.3 | pandas |
+
+---
+
+## 按功能分类
+
+### 浏览器自动化
+```
+playwright==1.57.0
+```
+
+### 数据库
+```
+pyodbc>=5.0.0
+```
+
+### Excel/数据处理
+```
+pandas>=2.0.0
+openpyxl>=3.1.0
+numpy>=1.24.0
+```
+
+---
+
+## 当前环境已安装包
+
+```
+Package           Version
+----------------- -----------
+et_xmlfile        2.0.0
+greenlet          3.3.0
+numpy             2.2.6
+openpyxl          3.1.5
+pandas            2.3.3
+pip               25.3
+playwright        1.57.0
+pyee              13.0.0
+python-dateutil   2.9.0.post0
+pytz              2025.2
+setuptools        65.5.0
+six               1.17.0
+typing_extensions 4.15.0
+tzdata            2025.3
+```
+
+**注意**: `pyodbc` 尚未安装，运行数据库相关脚本前请先安装。

requirements.txt

@@ -0,0 +1,19 @@
+# ===========================
+# Playwright Python Automation
+# ===========================
+# Python 3.8+ required
+
+# --- Browser Automation ---
+playwright==1.57.0
+
+# --- Database ---
+pyodbc>=5.0.0
+
+# --- Excel/Data Processing ---
+pandas>=2.0.0
+openpyxl>=3.1.0
+numpy>=1.24.0
+
+# --- System Utilities (installed via pip) ---
+python-dateutil>=2.8.0
+pytz>=2023.0

test_playwright.py

@@ -1,318 +0,0 @@
-import re
-import time
-from playwright.sync_api import Playwright, sync_playwright, expect, TimeoutError as PWTimeoutError
-import pdb
-
-def click_button_until_disappear(frame, button_name="保存提交", max_attempts=None, max_duration=None):
-    """
-    持续点击按钮直到按钮消失。
-    包含业务逻辑：点击前检查【生产部门】是否为空，为空则自动回填数据。
-    """
-    click_count = 0
-    start_time = time.time()
-    
-    # 定义加载控件的定位器 (基于传入的 frame)
-    loading_locator = frame.locator("div").filter(has_text="加载中").nth(1)
-    
-    print(f"开始监控'{button_name}'按钮 (含自动补全逻辑)...")
-    
-    while True:
-        try:
-            # --- 1. 检查退出条件 ---
-            if max_attempts and click_count >= max_attempts:
-                print(f"已达到最大点击次数{max_attempts}次，停止操作")
-                break
-            
-            if max_duration and (time.time() - start_time) >= max_duration:
-                elapsed = time.time() - start_time
-                print(f"已达到最大持续时间{max_duration}秒，停止操作")
-                break
-            
-            # --- 2. 检查按钮状态 ---
-            button = frame.get_by_role("button", name=button_name)
-            
-            # 如果按钮已经消失，任务完成
-            if button.count() == 0:
-                elapsed = time.time() - start_time
-                print(f"SUCCESS: '{button_name}'按钮已消失")
-                print(f"共点击{click_count}次，总耗时{elapsed:.1f}秒")
-                return {
-                    "success": True,
-                    "click_count": click_count,
-                    "elapsed_time": elapsed
-                }
-            
-            # ==========================================
-            #   插入业务逻辑：检查并回填数据
-            # ==========================================
-            try:
-                # 1. 获取生产部门输入框
-                dep_input = get_input_by_label(frame, "生产部门")
-                
-                if dep_input:
-                    current_val = dep_input.input_value()
-                    # 检查是否为空 (strip去除空白字符)
-                    if current_val != "压力表车间" and current_val != "CQ030101":
-                        print(f"  [补全] 检测到生产部门为空，开始自动填充...")
-                        
-                        # A. 填入生产部门
-                        dep_input.fill("压力表车间")
-                        print("  [补全] -> 生产部门已填入: CQ030101")
-                        
-                        # B. 填入订单类型 (仅在需要补全生产部门时才操作这个，根据你的需求逻辑)
-                        type_input = get_input_by_label(frame, "订单类型")
-                        if type_input:
-                            type_input.fill("55C2-Cxx-02")
-                            print("  [补全] -> 订单类型已填入: 55C2-Cxx-02")
-                        else:
-                            print("  [警告] 无法找到'订单类型'输入框")
-                        
-                        # 稍微等待一下填入值的生效（可选）
-                        time.sleep(0.5)
-                    else:
-                        print(f"  [信息] 生产部门已有值: {current_val}，跳过补全")
-                else:
-                    print("  [警告] 无法找到'生产部门'输入框，跳过检查")
-
-            except Exception as logic_e:
-                print(f"  [异常] 数据补全逻辑出错 (不影响继续点击): {logic_e}")
-            # ==========================================
-
-            
-            # --- 3. 执行点击 ---
-            button.click()
-            click_count += 1
-            print(f"[{time.strftime('%H:%M:%S')}] 第{click_count}次点击'{button_name}'")
-            
-            # --- 4. 智能等待加载逻辑 ---
-            
-            # 4.1 缓冲等待：点击后，UI可能需要几秒钟才会弹出遮罩
-            # print("  - 等待遮罩层响应...")
-            time.sleep(2) 
-
-            # 4.2 检测并等待遮罩消失
-            try:
-                # 尝试等待遮罩出现 (给它3秒的时间被检测到)
-                if loading_locator.is_visible(timeout=3000):
-                    print("  - 检测到'加载中'，正在等待数据载入...")
-                    # 只要出现了，就无限等待它消失 (timeout=0)
-                    loading_locator.wait_for(state="hidden", timeout=0)
-                    print("  - 数据载入完毕")
-                else:
-                    # 如果3秒内没检测到 visible，可能是数据极少瞬间加载完了
-                    pass
-            except Exception as e:
-                # 忽略定位超时等非致命错误
-                pass
-
-            # 稍微休息一下
-            time.sleep(0.5)
-            
-        except Exception as e:
-            elapsed = time.time() - start_time
-            print(f"操作异常: {e}")
-            return {
-                "success": False,
-                "click_count": click_count,
-                "error": str(e)
-            }
-
-
-def get_input_by_label(frame, label_text: str, label_locator=None):
-    """
-    通过标签文本获取对应的输入框对象
-    
-    参数:
-        frame: iframe对象
-        label_text: 标签文本（用于查找和日志输出）
-        label_locator: 可选，已经定位好的标签locator。如果为None，则函数内部查找
-    
-    返回:
-        成功：返回输入框的locator对象
-        失败：返回None
-    """
-    try:
-        # 如果没有传入label_locator，则根据label_text查找
-        if label_locator is None:
-            label_locator = frame.locator("div").filter(has_text=re.compile(f"^{label_text}$")).first
-            print(f"找到{label_text}标签")
-        
-        # 向上找到包含标签和输入框的共同父容器
-        parent_container = label_locator.locator("..")  # 父元素
-        
-        # 在父容器中查找输入框
-        input_box = parent_container.locator("input").first
-        
-        # 如果父元素中没有，再向上一层
-        if input_box.count() == 0:
-            print(f"{label_text}: 在父元素中未找到，向上一层查找...")
-            grandparent = parent_container.locator("..")  # 祖父元素
-            input_box = grandparent.locator("input").first
-        
-        # 验证是否找到输入框
-        if input_box.count() > 0:
-            input_box.wait_for(state="visible", timeout=5000)
-            current_value = input_box.input_value()
-            print(f"✓ {label_text}: {current_value}")
-            print(input_box.count())
-            return input_box
-        else:
-            print(f"✗ {label_text}: 在父容器中找不到输入框")
-            return None
-            
-    except Exception as e:
-        print(f"✗ {label_text}失败: {e}")
-        return None
-    
-def run(playwright: Playwright) -> None:
-    browser = playwright.chromium.launch(headless=False)
-    context = browser.new_context(ignore_https_errors=True)
-    page = context.new_page()
-
-    # 1. 登录主页面
-    try:
-        page.goto("https://68.11.34.30:8082/yonbip/resources/uap/rbac/login/main/index.html")
-        
-        # 提取主 iframe
-        main_frame = page.locator("#forwardFrame").content_frame
-        
-        main_frame.get_by_role("textbox", name="用户名").fill("BLDpengqiangqiang")
-        main_frame.get_by_role("textbox", name="密码").fill("Cqbld123456.")
-        main_frame.get_by_role("button", name="登录").click()
-
-        # 2. 处理强制登录弹窗（判断是否存在）
-        confirm_btn = main_frame.get_by_role("button", name="确定")
-        try:
-            # 短暂等待检测弹窗
-            if confirm_btn.is_visible(timeout=3000):
-                confirm_btn.click()
-                print("强制登录")
-            else:
-                print("正常登录")
-        except:
-            print("正常登录 (未检测到弹窗)")
-
-        # 3. 点击打开“补货安排”
-        main_frame.locator("i").first.click()  # 假设是某个新建按钮
-
-        with page.expect_popup() as page1_info:
-            main_frame.get_by_title("补货安排", exact=True).click()
-        page1 = page1_info.value
-
-        # 4. 新页面：等待页面加载完成 + 提取嵌套 iframe
-        print("Page1 已打开，正在等待内层 iframe 加载...")
-        page1.wait_for_load_state("domcontentloaded")
-
-        # 提取外层 forwardFrame
-        outer_frame = page1.locator("#forwardFrame").content_frame
-        
-        # 关键：等待内层 #mainiframe 出现并加载
-        inner_frame_locator = outer_frame.locator("#mainiframe")
-        inner_frame_locator.wait_for(state="visible", timeout=15000)
-        inner_frame = inner_frame_locator.content_frame
-
-        print("Page1 内层 iframe 已加载完成")
-
-        # 填写查询条件
-        textbox = inner_frame.get_by_role("textbox", name="期初标识≠")
-        textbox.fill("")
-        inner_frame.locator("#rc_select_0").fill("关闭")
-        
-        textbox = inner_frame.get_by_role("textbox", name="排产号")
-        textbox.fill("R")
-        
-        inner_frame.get_by_role("textbox", name="单据日期开始日期").fill("2025-12-28")
-        inner_frame.get_by_role("textbox", name="单据日期结束日期").fill("2025-12-31")
-        # inner_frame.get_by_text("今日").click()
-        # inner_frame.get_by_text("今日").click()
-
-        # 点击查询按钮
-        inner_frame.locator(".iconfont.icon-chaxun").click()
-
-        # 勾选所有合同
-        inner_frame.get_by_role("row", name="序号").get_by_label("").check()
-
-        # 获取订单合计数量
-        summary_locator = inner_frame.get_by_text(re.compile(r"合计:\s*\d+\s*行"))
-        try:
-            summary_text = summary_locator.inner_text(timeout=5000)
-            match = re.search(r"\d+", summary_text)
-            if match:
-                row_count = int(match.group())
-                print(f"当前总行数：{row_count}")
-            else:
-                print("未匹配到行数")
-        except:
-            print("未找到合计行")
-
-        # 进入 Page2
-        inner_frame.get_by_role("button").filter(has_text="补货安排").hover()
-        inner_frame.get_by_text("生产订单").click()
-        inner_frame.get_by_role("textbox", name="工厂").fill("10010705")
-        
-        with page1.expect_popup(timeout=60000) as page2_info:
-            inner_frame.get_by_role("button", name="确定(Y)").click()
-        page2 = page2_info.value
-
-        # --- Page2 加载逻辑优化 ---
-        print("Page2 已打开，正在初始化...")
-        page2.wait_for_load_state("domcontentloaded")
-
-        outer_frame_p2 = page2.locator("#forwardFrame").content_frame
-        inner_frame_locator_p2 = outer_frame_p2.locator("#mainiframe")
-        inner_frame_locator_p2.wait_for(state="visible", timeout=15000)
-        inner_frame_p2 = inner_frame_locator_p2.content_frame
-        print("Page2 基础框架已就绪")
-
-        # 1. 按照建议，等待3秒，让加载遮罩有机会出现
-        print("等待 7 秒，检测加载遮罩是否出现...")
-        time.sleep(7)
-
-        # 2. 定义加载控件定位器
-        # 注意：这里直接基于 inner_frame_p2 构建，对应你的 path: ...locator("#mainiframe").content_frame.locator("div")...
-        loading_locator = inner_frame_p2.locator("div").filter(has_text="加载中").nth(1)
-
-        try:
-            # 尝试等待加载控件变为 visible。
-            # 给它 3秒 的检测时间，如果这 3秒 内出现了，说明页面正在加载数据。
-            # 如果没出现，触发 TimeoutError，进入 except 块，说明数据量很少，可能瞬间加载完了。
-            loading_locator.wait_for(state="visible", timeout=3000)
-            
-            print("检测到'加载中'控件，开始等待数据加载（时间不定）...")
-            
-            # 3. 关键：等待控件消失 (state="hidden" 或 "detached")
-            # timeout=0 表示无限等待，防止数据量大加载时间过长导致报错
-            loading_locator.wait_for(state="hidden", timeout=0)
-            
-            print(">>> 页面加载完毕！(加载控件已消失)")
-            
-        except PWTimeoutError:
-            print(">>> 页面加载完毕！(未检测到'加载中'控件，可能已快速完成)")
-        except Exception as e:
-            print(f">>> 页面加载状态判断异常: {e}，默认视为加载完毕")
-
-        # --- 这里可以继续 Page2 的后续操作 ---
-        
-        input_box = get_input_by_label(inner_frame_p2, "生产部门")
-        input_box = get_input_by_label(inner_frame_p2, "订单类型")
-        input_box = get_input_by_label(inner_frame_p2, "数量")
-
-        print("\n>>> 开始执行连续点击操作 <<<")
-        
-        # 这里的 inner_frame_p2 是你在 Page2 提取出来的内层 iframe
-        result = click_button_until_disappear(
-            frame=inner_frame_p2, 
-            button_name="保存提交",  # 修改为你实际要点击的按钮名字，比如 "下一页" 或 "加载更多"
-            max_attempts=500          # 防止死循环，设置一个最大上限
-        )
-        print("进入调试模式，你现在可以在终端输入 Python 代码来测试定位器...")
-        pdb.set_trace()  # <--- 程序会在这里卡住，控制权交给终端
-        print("最终结果:", result)
-        input("操作完成，按回车关闭...")
-        
-    finally:
-        context.close()
-        browser.close()
-
-with sync_playwright() as playwright:
-    run(playwright)