From 1e9925a9f2c23cee4b9496d7b77b57a9512689da Mon Sep 17 00:00:00 2001
From: yovinchen <gzh298255@gmail.com>
Date: Wed, 2 Jul 2025 20:08:23 +0800
Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E6=94=B9=E6=89=93=E5=8C=85=E4=BA=A4?=
 =?UTF-8?q?=E8=84=9A=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 fix_dll_build.bat  |  42 +++++++
 fix_dll_build.py   | 302 +++++++++++++++++++++++++++++++++++++++++++++
 test_pandas_dll.py | 169 +++++++++++++++++++++++++
 3 files changed, 513 insertions(+)
 create mode 100644 fix_dll_build.bat
 create mode 100644 fix_dll_build.py
 create mode 100644 test_pandas_dll.py

diff --git a/fix_dll_build.bat b/fix_dll_build.bat
new file mode 100644
index 0000000..33c2959
--- /dev/null
+++ b/fix_dll_build.bat
@@ -0,0 +1,42 @@
+@echo off
+chcp 65001 >nul
+echo ============================================================
+echo pandas DLL修复构建脚本
+echo 专门解决: ImportError: DLL load failed while importing aggregations
+echo ============================================================
+echo.
+
+echo 检查Python环境...
+python --version
+if errorlevel 1 (
+    echo ❌ Python未安装或未添加到PATH
+    pause
+    exit /b 1
+)
+
+echo.
+echo 检查pandas安装...
+python -c "import pandas; print(f'✅ pandas版本: {pandas.__version__}')"
+if errorlevel 1 (
+    echo ❌ pandas未安装
+    echo 正在安装pandas...
+    pip install pandas
+)
+
+echo.
+echo 检查PyInstaller...
+python -c "import PyInstaller; print('✅ PyInstaller已安装')"
+if errorlevel 1 (
+    echo ❌ PyInstaller未安装
+    echo 正在安装PyInstaller...
+    pip install pyinstaller
+)
+
+echo.
+echo 开始DLL修复构建...
+python fix_dll_build.py
+
+echo.
+echo 构建完成!
+echo 如果成功，可执行文件位于: dist\座位分配系统_修复版.exe
+pause
diff --git a/fix_dll_build.py b/fix_dll_build.py
new file mode 100644
index 0000000..c8062b2
--- /dev/null
+++ b/fix_dll_build.py
@@ -0,0 +1,302 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+修复DLL加载失败的专用构建脚本
+专门解决pandas._libs.window.aggregations DLL问题
+"""
+
+import sys
+import subprocess
+import platform
+import site
+from pathlib import Path
+
+def get_pandas_libs_path():
+    """获取pandas库文件路径"""
+    try:
+        import pandas
+        pandas_path = Path(pandas.__file__).parent
+        libs_path = pandas_path / '_libs'
+        return libs_path
+    except ImportError:
+        return None
+
+def create_dll_fix_spec():
+    """创建修复DLL问题的spec文件"""
+    
+    # 获取pandas库路径
+    pandas_libs = get_pandas_libs_path()
+    if not pandas_libs or not pandas_libs.exists():
+        print("❌ 无法找到pandas库路径")
+        return None
+    
+    print(f"✅ 找到pandas库路径: {pandas_libs}")
+    
+    # 查找所有.pyd文件（Windows DLL）
+    pyd_files = list(pandas_libs.glob('**/*.pyd'))
+    print(f"✅ 找到 {len(pyd_files)} 个pandas DLL文件")
+    
+    # 构建binaries列表
+    binaries_list = []
+    for pyd_file in pyd_files:
+        rel_path = pyd_file.relative_to(pandas_libs.parent)
+        binaries_list.append(f"(r'{pyd_file}', r'{rel_path.parent}')")
+    
+    binaries_str = ',\n        '.join(binaries_list)
+    
+    spec_content = f'''# -*- mode: python ; coding: utf-8 -*-
+# 专门修复pandas DLL加载问题的配置
+
+import sys
+from pathlib import Path
+
+block_cipher = None
+
+a = Analysis(
+    ['seat_allocation_system.py'],
+    pathex=[],
+    binaries=[
+        # 手动包含所有pandas DLL文件
+        {binaries_str}
+    ],
+    datas=[],
+    hiddenimports=[
+        # 核心模块
+        'pandas',
+        'numpy',
+        'openpyxl',
+        
+        # pandas核心库（必须）
+        'pandas._libs',
+        'pandas._libs.lib',
+        'pandas._libs.hashtable',
+        'pandas._libs.tslib',
+        'pandas._libs.algos',
+        'pandas._libs.join',
+        'pandas._libs.index',
+        'pandas._libs.internals',
+        'pandas._libs.writers',
+        'pandas._libs.parsers',
+        'pandas._libs.testing',
+        'pandas._libs.sparse',
+        'pandas._libs.reduction',
+        'pandas._libs.ops',
+        'pandas._libs.missing',
+        'pandas._libs.groupby',
+        'pandas._libs.reshape',
+        
+        # pandas时间序列库
+        'pandas._libs.tslibs',
+        'pandas._libs.tslibs.base',
+        'pandas._libs.tslibs.ccalendar',
+        'pandas._libs.tslibs.conversion',
+        'pandas._libs.tslibs.dtypes',
+        'pandas._libs.tslibs.fields',
+        'pandas._libs.tslibs.nattype',
+        'pandas._libs.tslibs.np_datetime',
+        'pandas._libs.tslibs.offsets',
+        'pandas._libs.tslibs.parsing',
+        'pandas._libs.tslibs.period',
+        'pandas._libs.tslibs.strptime',
+        'pandas._libs.tslibs.timedeltas',
+        'pandas._libs.tslibs.timestamps',
+        'pandas._libs.tslibs.timezones',
+        'pandas._libs.tslibs.tzconversion',
+        'pandas._libs.tslibs.vectorized',
+        
+        # pandas窗口函数库（关键！）
+        'pandas._libs.window',
+        'pandas._libs.window.aggregations',
+        'pandas._libs.window.indexers',
+        
+        # numpy核心
+        'numpy.core._methods',
+        'numpy.core._dtype_ctypes',
+        'numpy.core.multiarray',
+        'numpy.core.umath',
+        
+        # 其他必要模块
+        'ctypes.util',
+        'pkg_resources.py2_warn',
+        'encodings.utf_8',
+        'encodings.gbk',
+        
+        # openpyxl
+        'openpyxl.workbook',
+        'openpyxl.worksheet',
+        'openpyxl.styles',
+    ],
+    hookspath=[],
+    hooksconfig={{}},
+    runtime_hooks=[],
+    excludes=[
+        'matplotlib',
+        'scipy',
+        'IPython',
+        'jupyter',
+        'tkinter',
+        'PyQt5',
+        'PyQt6',
+        'PIL',
+        'cv2',
+        'sklearn',
+        'tensorflow',
+        'torch',
+    ],
+    win_no_prefer_redirects=False,
+    win_private_assemblies=False,
+    cipher=block_cipher,
+    noarchive=False,
+)
+
+pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
+
+exe = EXE(
+    pyz,
+    a.scripts,
+    a.binaries,
+    a.zipfiles,
+    a.datas,
+    [],
+    name='座位分配系统_修复版',
+    debug=False,
+    bootloader_ignore_signals=False,
+    strip=False,
+    upx=False,  # 禁用UPX压缩，避免DLL问题
+    upx_exclude=[],
+    runtime_tmpdir=None,
+    console=True,
+    disable_windowed_traceback=False,
+    argv_emulation=False,
+    target_arch=None,
+    codesign_identity=None,
+    entitlements_file=None,
+)
+'''
+    
+    spec_file = Path('dll_fix.spec')
+    with open(spec_file, 'w', encoding='utf-8') as f:
+        f.write(spec_content)
+    
+    print(f"✅ 创建DLL修复spec文件: {spec_file}")
+    return spec_file
+
+def build_with_dll_fix():
+    """使用DLL修复配置构建"""
+    print("=" * 60)
+    print("DLL修复构建")
+    print("=" * 60)
+    
+    # 检查环境
+    if platform.system() != 'Windows':
+        print("❌ 此脚本仅适用于Windows")
+        return False
+    
+    print(f"✅ 系统: {platform.system()} {platform.release()}")
+    
+    # 检查主文件
+    main_file = Path('seat_allocation_system.py')
+    if not main_file.exists():
+        print("❌ 未找到主程序文件")
+        return False
+    
+    # 创建修复spec文件
+    spec_file = create_dll_fix_spec()
+    if not spec_file:
+        return False
+    
+    # 清理旧文件
+    dist_dir = Path('dist')
+    if dist_dir.exists():
+        import shutil
+        shutil.rmtree(dist_dir)
+        print("✅ 清理dist目录")
+    
+    # 构建命令
+    cmd = [
+        sys.executable, '-m', 'PyInstaller',
+        '--clean',
+        '--noconfirm',
+        '--log-level=WARN',  # 减少输出
+        str(spec_file)
+    ]
+    
+    print(f"\n执行命令: {' '.join(cmd)}")
+    print("开始DLL修复构建...")
+    
+    try:
+        # 执行构建
+        result = subprocess.run(
+            cmd,
+            capture_output=True,
+            text=True,
+            encoding='utf-8',
+            errors='ignore'
+        )
+        
+        # 显示结果
+        if result.returncode == 0:
+            print("✅ DLL修复构建成功!")
+            
+            # 检查生成的文件
+            exe_path = Path('dist/座位分配系统_修复版.exe')
+            if exe_path.exists():
+                size_mb = exe_path.stat().st_size / (1024 * 1024)
+                print(f"✅ 生成文件: {exe_path}")
+                print(f"✅ 文件大小: {size_mb:.1f} MB")
+                
+                # 测试运行
+                print("\n🧪 测试运行...")
+                test_cmd = [str(exe_path), '--help']
+                try:
+                    test_result = subprocess.run(
+                        test_cmd, 
+                        capture_output=True, 
+                        text=True, 
+                        timeout=10
+                    )
+                    if test_result.returncode == 0:
+                        print("✅ 程序可以正常启动")
+                    else:
+                        print("⚠️  程序启动有问题，但文件已生成")
+                except subprocess.TimeoutExpired:
+                    print("⚠️  测试超时，但文件已生成")
+                except Exception as e:
+                    print(f"⚠️  测试失败: {e}")
+                
+                return True
+            else:
+                print("❌ 未找到生成的exe文件")
+                return False
+        else:
+            print("❌ DLL修复构建失败!")
+            print("错误输出:")
+            print(result.stderr)
+            return False
+            
+    except Exception as e:
+        print(f"❌ 构建出错: {e}")
+        return False
+
+def main():
+    """主函数"""
+    print("🔧 pandas DLL加载失败修复工具")
+    print("专门解决: ImportError: DLL load failed while importing aggregations")
+    print()
+    
+    success = build_with_dll_fix()
+    
+    if success:
+        print("\n🎉 DLL修复构建完成!")
+        print("可执行文件: dist/座位分配系统_修复版.exe")
+        print("\n💡 如果仍有问题，请尝试:")
+        print("1. 在目标机器上安装 Visual C++ Redistributable")
+        print("2. 确保目标机器有相同的Windows版本")
+    else:
+        print("\n❌ DLL修复构建失败!")
+        print("请检查pandas安装是否完整")
+    
+    input("\n按Enter键退出...")
+
+if __name__ == '__main__':
+    main()
diff --git a/test_pandas_dll.py b/test_pandas_dll.py
new file mode 100644
index 0000000..36c1c8a
--- /dev/null
+++ b/test_pandas_dll.py
@@ -0,0 +1,169 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+测试pandas DLL模块加载
+专门检查可能导致PyInstaller问题的模块
+"""
+
+import sys
+import traceback
+from pathlib import Path
+
+def test_pandas_core():
+    """测试pandas核心模块"""
+    print("=" * 50)
+    print("测试pandas核心模块")
+    print("=" * 50)
+    
+    modules_to_test = [
+        'pandas',
+        'pandas._libs',
+        'pandas._libs.lib',
+        'pandas._libs.hashtable',
+        'pandas._libs.algos',
+        'pandas._libs.index',
+        'pandas._libs.writers',
+        'pandas._libs.parsers',
+        'pandas._libs.tslibs',
+        'pandas._libs.tslibs.base',
+        'pandas._libs.window',
+        'pandas._libs.window.aggregations',  # 关键模块！
+        'pandas._libs.window.indexers',
+    ]
+    
+    success_count = 0
+    for module in modules_to_test:
+        try:
+            __import__(module)
+            print(f"✅ {module}")
+            success_count += 1
+        except ImportError as e:
+            print(f"❌ {module}: {e}")
+        except Exception as e:
+            print(f"⚠️  {module}: {e}")
+    
+    print(f"\n成功加载: {success_count}/{len(modules_to_test)} 个模块")
+    return success_count == len(modules_to_test)
+
+def test_pandas_functionality():
+    """测试pandas基本功能"""
+    print("\n" + "=" * 50)
+    print("测试pandas基本功能")
+    print("=" * 50)
+    
+    try:
+        import pandas as pd
+        import numpy as np
+        
+        # 创建测试数据
+        df = pd.DataFrame({
+            'A': [1, 2, 3, 4, 5],
+            'B': [10, 20, 30, 40, 50]
+        })
+        
+        print("✅ DataFrame创建成功")
+        
+        # 测试窗口函数（这是出错的关键）
+        result = df['A'].rolling(window=2).sum()
+        print("✅ rolling窗口函数正常")
+        
+        # 测试聚合函数
+        agg_result = df.groupby('A').agg({'B': 'sum'})
+        print("✅ groupby聚合函数正常")
+        
+        # 测试Excel读写
+        test_file = Path('test_pandas.xlsx')
+        df.to_excel(test_file, index=False)
+        df_read = pd.read_excel(test_file)
+        test_file.unlink()  # 删除测试文件
+        print("✅ Excel读写功能正常")
+        
+        return True
+        
+    except Exception as e:
+        print(f"❌ pandas功能测试失败: {e}")
+        traceback.print_exc()
+        return False
+
+def check_pandas_installation():
+    """检查pandas安装信息"""
+    print("\n" + "=" * 50)
+    print("pandas安装信息")
+    print("=" * 50)
+    
+    try:
+        import pandas as pd
+        print(f"✅ pandas版本: {pd.__version__}")
+        print(f"✅ pandas路径: {pd.__file__}")
+        
+        # 检查_libs目录
+        pandas_path = Path(pd.__file__).parent
+        libs_path = pandas_path / '_libs'
+        
+        if libs_path.exists():
+            print(f"✅ _libs目录存在: {libs_path}")
+            
+            # 统计.pyd文件
+            pyd_files = list(libs_path.glob('**/*.pyd'))
+            print(f"✅ 找到 {len(pyd_files)} 个.pyd文件")
+            
+            # 检查关键文件
+            key_files = [
+                'window/aggregations.cp310-win_amd64.pyd',
+                'window/indexers.cp310-win_amd64.pyd',
+                'hashtable.cp310-win_amd64.pyd',
+                'lib.cp310-win_amd64.pyd'
+            ]
+            
+            for key_file in key_files:
+                file_path = libs_path / key_file
+                if file_path.exists():
+                    print(f"✅ 关键文件存在: {key_file}")
+                else:
+                    print(f"❌ 关键文件缺失: {key_file}")
+        else:
+            print(f"❌ _libs目录不存在: {libs_path}")
+            return False
+            
+        return True
+        
+    except Exception as e:
+        print(f"❌ 检查pandas安装失败: {e}")
+        return False
+
+def main():
+    """主函数"""
+    print("🔍 pandas DLL模块测试工具")
+    print("用于诊断PyInstaller构建问题")
+    print()
+    
+    # 基本信息
+    print(f"Python版本: {sys.version}")
+    print(f"平台: {sys.platform}")
+    
+    # 运行测试
+    install_ok = check_pandas_installation()
+    core_ok = test_pandas_core()
+    func_ok = test_pandas_functionality()
+    
+    print("\n" + "=" * 50)
+    print("测试结果总结")
+    print("=" * 50)
+    
+    if install_ok and core_ok and func_ok:
+        print("✅ 所有测试通过！pandas安装正常")
+        print("💡 如果PyInstaller仍有问题，请使用 fix_dll_build.py")
+    else:
+        print("❌ 存在问题，建议:")
+        if not install_ok:
+            print("  1. 重新安装pandas: pip uninstall pandas && pip install pandas")
+        if not core_ok:
+            print("  2. 检查pandas C扩展是否正确编译")
+        if not func_ok:
+            print("  3. 检查依赖库（numpy等）是否正常")
+    
+    print("=" * 50)
+    input("\n按Enter键退出...")
+
+if __name__ == '__main__':
+    main()