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Greptile review: - slim_dist.ps1: ErrorActionPreference SilentlyContinue -> Continue so failed deletes are reported instead of showing a false success banner - build_optimized.bat: wmic is removed on Windows 11 22H2+; use the built-in %NUMBER_OF_PROCESSORS% env var (with a fallback) so --jobs is not silently 0
821 lines
30 KiB
Markdown
821 lines
30 KiB
Markdown
---
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name: generating-python-installer
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description: "Commercial-grade Python installer expert for Windows: Nuitka extreme compilation, dist slimming, DLL footprint analysis, and Inno Setup packaging to ship the smallest, fastest installers. Use only for advanced packaging/optimization (minimal size, fast startup), not basic script-to-exe conversion. 中文触发：Nuitka 极限优化、Python 商业打包、极限编译 Python、dist 瘦身、DLL 分析、最小安装包、最快启动、商业级打包风格"
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---
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# Generating Python Installer (Commercial-Grade)
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You are a **Python commercial deployment expert**. Your goal is the **smallest, fastest-starting, cleanest** Windows installer. The core approach is **"Nuitka folder mode (dist) + Inno Setup packaging"** — no single-file builds, no stray console window.
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## When to Activate
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Activate when the user explicitly asks for **advanced** Python packaging or size/startup optimization on Windows:
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- Nuitka extreme / commercial-grade compilation, smallest-size or fastest-startup builds
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- `dist` folder slimming, DLL footprint analysis, 32-bit vs 64-bit size tradeoffs
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- Inno Setup packaging with full metadata and a clean, residue-free uninstall
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This skill targets advanced size/startup optimization — not basic one-file "script to exe" conversion.
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## How It Works
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1. **Confirm build parameters** — app name, version, publisher, exe name, source/output dirs, icon. Never auto-fill; ask the user.
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2. **Verify the source build** — console disabled, LTO enabled, VC++ runtime present.
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3. **Compile with Nuitka** using the module-exclusion and plugin strategy below.
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4. **Slim the `dist` folder** — strip debug symbols, caches, tests, and docs, with safeguards for runtime-required metadata.
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5. **Analyze DLLs** to find and trim the largest dependencies.
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6. **Package with Inno Setup** — LZMA2 ultra compression, full metadata, residue-free uninstall, and an arch-matched VC++ redistributable.
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## Examples
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- "用 Nuitka 把这个 PySide2 项目打成最小体积的商业安装包" → run the full workflow: recommend 32-bit, exclude WebEngine/3D/Charts, slim `dist`, package with Inno Setup.
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- "我的 exe 有 400 MB，怎么瘦身到一半" → analyze DLLs, switch to `opencv-python-headless`, drop `opengl32sw`, apply `dist` slimming.
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- "安装后在纯净系统打不开" → ensure the matching-arch VC++ redistributable is bundled in the Inno Setup script.
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---
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## 核心理念
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坚持 **"Nuitka 文件夹模式(dist) + Inno Setup 封装"** 方案。拒绝单文件版，拒绝黑窗。
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---
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## 实战参考案例（生产级 PySide2 桌面应用，323 MB，含 OpenCV / Playwright）
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### 项目概况
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- **总体积**: 323 MB
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- **打包工具**: PyInstaller 4.7 (32位)
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- **主要依赖**: PySide2 (22.52 MB), OpenCV (62.38 MB), Playwright (76.74 MB)
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- **Python 版本**: Python 3.8 (32位)
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- **DLL 数量**: 71 个，总计 93.23 MB
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### 关键优化策略
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1. PASS: **使用 32 位 Python** → 体积减少 20-30%
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2. PASS: **base_library.zip 压缩标准库** → 0.74 MB
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3. PASS: **精简模块排除** → 无 pytest/unittest/setuptools
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4. PASS: **精简 Qt 插件** → 只保留必要插件
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### 体积分布
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| 组件 | 体积 | 占比 | 优化建议 |
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|------|------|------|---------|
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| playwright | 76.74 MB | 23.8% | 非必要可移除 |
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| OpenCV | 62.38 MB | 19.3% | 用 opencv-python-headless |
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| PySide2 | 22.52 MB | 7.0% | 排除 WebEngine/3D/Charts |
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| 其他依赖 | 161.36 MB | 49.9% | - |
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### 预期效果对比
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| 项目类型 | Nuitka 原始 | 优化后 | 参考项目实测 |
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|---------|------------|--------|----------------|
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| Tkinter + 标准库 | 150-250 MB | **80-120 MB** | - |
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| PyQt/PySide | 200-400 MB | **120-250 MB** | 323 MB (含 OpenCV 等) |
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| 含 numpy/pandas | 300-600 MB | **180-350 MB** | - |
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---
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## 核心工作流 (Workflow) - WARNING: 严格执行
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当用户请求打包时，按照以下步骤操作：
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**步骤 1：强制参数确认（FAIL: 禁止使用默认值）**
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> **WARNING: 重要规则：以下所有参数必须逐一向用户确认，禁止自动填充或使用默认值！**
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必须向用户询问并确认以下信息（*等待用户明确回复后才能继续*）：
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| 参数 | 说明 | 示例 |
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|------|------|------|
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| **软件名称** (App Name) | 软件显示名称 | `红墨批注` |
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| **版本号** (Version) | 语义化版本号 | `1.0.0` |
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| **发布者/公司名** (Publisher) | 控制面板显示的发布者 | `YourCompany` |
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| **主程序** (Exe Name) | 主可执行文件名 | `RedInk.exe` |
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| **源路径** (Source Dir) | Nuitka dist 文件夹绝对路径 | `D:\project\dist` |
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| **输出路径** (Output Dir) | 安装包生成位置 | `D:\project\output` |
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| **图标路径** (Icon Path) | .ico 文件绝对路径（可选但推荐） | `D:\project\icon.ico` |
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| **官网地址** (URL) | 可选，用于控制面板链接 | `https://example.com` |
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**询问模板：**
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> "请提供以下打包参数，我需要您逐一确认：
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> 1. 软件名称：
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> 2. 版本号：
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> 3. 发布者/公司名：
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> 4. 主程序文件名（如 xxx.exe）：
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> 5. 源路径（Nuitka dist 文件夹）：
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> 6. 输出路径（安装包保存位置）：
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> 7. 图标路径（.ico 文件，可留空）：
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> 8. 官网地址（可留空）：
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>
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> 请逐一填写，或回复"跳过"表示使用空值。"
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**步骤 2：源文件质量与编译检查（关键）**
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在生成代码之前，必须向用户发出以下**关键确认**（因为 Inno Setup 只是打包工具，无法改变程序本身的运行属性）：
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> "WARNING: **编译参数检查**：
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> 1. **去黑窗**：请确认您的 dist 文件夹是使用 `nuitka --windows-console-mode=disable` 编译的。（否则安装后依然会有黑框）
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> 2. **高性能**：请确认是否使用了 `--lto=yes`。（否则启动速度可能不理想）
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> 3. **运行库**：请确保 dist 文件夹内已包含必要的 VC++ 运行库，防止在纯净系统上无法运行。
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>
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> **确认源文件已准备好请回复"确认"，否则请先重新编译。**"
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**步骤 3：生成代码**
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用户确认后，输出包含 **完整元数据** 和 **卸载图标修复** 的代码。
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---
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## Nuitka 极限优化编译（基于 参考项目经验）
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### 一、32 位 vs 64 位选择策略
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**参考项目使用 32 位 Python 的原因**：
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| 组件 | 64位体积 | 32位体积 | 节省 |
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|------|---------|---------|------|
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| python3x.dll | ~4.5 MB | ~3.8 MB | 15% |
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| Qt5Core.dll | ~8 MB | ~5 MB | 37% |
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| numpy | ~30 MB | ~20 MB | 33% |
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| **总体** | 基准 | **-20~30%** | - |
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**推荐使用 32 位条件**：
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- PASS: 程序内存占用 < 2GB
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- PASS: 不处理超大文件（< 2GB）
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- PASS: 目标用户是普通办公电脑
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**32 位编译方法**：
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```bash
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# 1. 安装 32 位 Python（和 64 位可以共存）
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# 下载地址：https://www.python.org/downloads/windows/
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# 2. 用 32 位 Python 安装依赖
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py -3.12-32 -m pip install -r requirements.txt
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# 3. 用 32 位 Python 编译
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py -3.12-32 -m nuitka --standalone ...你的参数
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```
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### 二、模块排除清单（参考项目验证过的）
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**安全排除列表**（运行时不需要）：
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```
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unittest,test,pytest,_pytest,doctest,pdb,pdbpp,
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setuptools,pip,distutils,pkg_resources,
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email.mime,http.server,xmlrpc,pydoc
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```
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**预期效果**：节省 **30-50 MB**
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### 三、GUI 框架专用优化
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#### Tkinter 极限优化（推荐，最轻量）
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```bash
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nuitka --standalone --windows-console-mode=disable ^
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--lto=yes ^
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--jobs=8 ^
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--enable-plugin=tk-inter ^
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--enable-plugin=anti-bloat ^
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--noinclude-pytest-mode=nofollow ^
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--noinclude-setuptools-mode=nofollow ^
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--nofollow-import-to=unittest,test,pytest,_pytest,doctest,pdb,pdbpp ^
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--nofollow-import-to=setuptools,pip,distutils,pkg_resources ^
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--nofollow-import-to=email.mime,http.server,xmlrpc,pydoc ^
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--python-flag=no_docstrings ^
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--output-dir=dist ^
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--windows-icon-from-ico=icon.ico ^
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--remove-output ^
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main.py
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```
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**预期体积**：80-120 MB（优化后）
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#### PyQt5 / PySide2 优化
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```bash
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nuitka --standalone --windows-console-mode=disable ^
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--lto=yes ^
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--jobs=8 ^
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--enable-plugin=pyqt5 ^
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--enable-plugin=anti-bloat ^
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--noinclude-pytest-mode=nofollow ^
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--noinclude-setuptools-mode=nofollow ^
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--nofollow-import-to=unittest,test,pytest,_pytest,doctest,pdb ^
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--nofollow-import-to=setuptools,pip,distutils,pkg_resources ^
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--nofollow-import-to=PyQt5.QtWebEngine,PyQt5.QtWebEngineWidgets ^
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--nofollow-import-to=PyQt5.Qt3D,PyQt5.QtCharts ^
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--python-flag=no_docstrings ^
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--include-qt-plugins=sensible,styles,platforms ^
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--output-dir=dist ^
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--windows-icon-from-ico=icon.ico ^
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--remove-output ^
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main.py
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```
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**预期体积**：120-250 MB（优化后）
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### 四、一键编译脚本模板
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**保存为 `build_optimized.bat`（项目根目录）**：
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```batch
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@echo off
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chcp 65001 >nul
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setlocal enabledelayedexpansion
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echo ========================================
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echo Nuitka 极限优化编译（参考 参考项目）
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echo ========================================
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REM === 配置区域（请修改为你的实际值） ===
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set APP_NAME=你的软件名
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set MAIN_FILE=main.py
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set ICON_FILE=icon.ico
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REM === 自动检测 CPU 核心数 ===
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REM 用 Windows 自带环境变量（wmic 在 Win11 22H2+ 已移除，探不到会让 --jobs=0 单线程编译）
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set CPU_CORES=%NUMBER_OF_PROCESSORS%
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if not defined CPU_CORES set CPU_CORES=4
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set /a BUILD_JOBS=%CPU_CORES%
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REM === 参考项目的模块排除清单 ===
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set EXCLUDE_MODULES=unittest,test,pytest,_pytest,doctest,pdb,pdbpp
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set EXCLUDE_MODULES=%EXCLUDE_MODULES%,setuptools,pip,distutils,pkg_resources
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set EXCLUDE_MODULES=%EXCLUDE_MODULES%,email.mime,http.server,xmlrpc,pydoc
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echo.
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echo [1/4] 清理旧编译...
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if exist dist rd /s /q dist
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if exist build rd /s /q build
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echo.
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echo [2/4] Nuitka 编译中（应用 参考项目优化策略）...
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echo - CPU 核心: %CPU_CORES% (使用 %BUILD_JOBS% 线程)
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echo - 模块排除: %EXCLUDE_MODULES%
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echo.
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nuitka --standalone ^
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--windows-console-mode=disable ^
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--lto=yes ^
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--jobs=%BUILD_JOBS% ^
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--enable-plugin=anti-bloat ^
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--enable-plugin=tk-inter ^
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--noinclude-pytest-mode=nofollow ^
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--noinclude-setuptools-mode=nofollow ^
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--nofollow-import-to=%EXCLUDE_MODULES% ^
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--python-flag=no_docstrings ^
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--output-dir=dist ^
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--windows-icon-from-ico=%ICON_FILE% ^
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--remove-output ^
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%MAIN_FILE%
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if %errorlevel% neq 0 (
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echo.
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echo [错误] 编译失败！
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pause
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exit /b 1
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)
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echo.
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echo [3/4] 统计编译结果...
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for /f %%a in ('powershell -NoProfile -Command "(Get-ChildItem -LiteralPath 'dist\%APP_NAME%.dist' -Recurse -File | Measure-Object -Property Length -Sum).Sum"') do set TOTAL_SIZE=%%a
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set TOTAL_SIZE=%TOTAL_SIZE:,=%
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set /a SIZE_MB=%TOTAL_SIZE% / 1048576
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echo - 编译后体积: %SIZE_MB% MB
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echo.
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echo [4/4] 执行瘦身清理（参考 参考项目策略）...
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powershell -ExecutionPolicy Bypass -File slim_dist.ps1 -DistPath "dist\%APP_NAME%.dist"
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echo.
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echo ========================================
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echo 编译完成！
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echo ========================================
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pause
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```
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### 五、dist 瘦身脚本（参考项目级别清理）
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**保存为 `slim_dist.ps1`（和 build_optimized.bat 同目录）**：
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```powershell
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param(
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[string]$DistPath
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)
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$ErrorActionPreference = "Continue" # 不静默吞错：删除失败会显示出来，避免假成功
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Write-Host "`n========================================" -ForegroundColor Cyan
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Write-Host "dist 瘦身清理（参考 参考项目策略）" -ForegroundColor Cyan
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Write-Host "========================================" -ForegroundColor Cyan
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if (-not (Test-Path $DistPath)) {
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Write-Host "[错误] 找不到目录: $DistPath" -ForegroundColor Red
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exit 1
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}
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# 统计初始体积
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$InitialSize = (Get-ChildItem -Path $DistPath -Recurse -File | Measure-Object -Property Length -Sum).Sum / 1MB
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Write-Host "`n初始体积: $([math]::Round($InitialSize, 2)) MB" -ForegroundColor Yellow
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# 参考项目特征：没有 .pdb, .pyi, __pycache__, test 等
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Write-Host "`n[应用 参考项目的清理策略...]" -ForegroundColor Green
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# 1. 删除调试符号
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Write-Host "`n[1/7] 删除 .pdb 调试符号..." -ForegroundColor Green
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$pdbFiles = Get-ChildItem -Path $DistPath -Recurse -Include *.pdb -File
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$pdbSize = ($pdbFiles | Measure-Object -Property Length -Sum).Sum / 1MB
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if ($pdbFiles.Count -gt 0) {
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$pdbFiles | Remove-Item -Force
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Write-Host " 删除 $($pdbFiles.Count) 个文件，节省 $([math]::Round($pdbSize, 2)) MB"
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} else {
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Write-Host " 未发现 .pdb 文件（已优化）" -ForegroundColor Gray
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}
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# 2. 删除类型提示
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Write-Host "`n[2/7] 删除 .pyi 类型提示..." -ForegroundColor Green
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$pyiFiles = Get-ChildItem -Path $DistPath -Recurse -Include *.pyi -File
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$pyiSize = ($pyiFiles | Measure-Object -Property Length -Sum).Sum / 1MB
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if ($pyiFiles.Count -gt 0) {
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$pyiFiles | Remove-Item -Force
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Write-Host " 删除 $($pyiFiles.Count) 个文件，节省 $([math]::Round($pyiSize, 2)) MB"
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} else {
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Write-Host " 未发现 .pyi 文件（已优化）" -ForegroundColor Gray
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}
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# 3. 删除 __pycache__
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Write-Host "`n[3/7] 删除 __pycache__ 缓存..." -ForegroundColor Green
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$pycacheDirs = Get-ChildItem -Path $DistPath -Recurse -Directory -Filter "__pycache__"
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$pycacheSize = 0
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foreach ($dir in $pycacheDirs) {
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$size = (Get-ChildItem -Path $dir.FullName -Recurse -File | Measure-Object -Property Length -Sum).Sum
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$pycacheSize += $size
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Remove-Item -Path $dir.FullName -Recurse -Force
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}
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if ($pycacheDirs.Count -gt 0) {
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Write-Host " 删除 $($pycacheDirs.Count) 个目录，节省 $([math]::Round($pycacheSize / 1MB, 2)) MB"
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} else {
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Write-Host " 未发现 __pycache__（已优化）" -ForegroundColor Gray
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}
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# 4. 删除测试目录
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Write-Host "`n[4/7] 删除 test/tests 测试目录..." -ForegroundColor Green
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$testDirs = Get-ChildItem -Path $DistPath -Recurse -Directory | Where-Object { $_.Name -match '^tests?$' }
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$testSize = 0
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foreach ($dir in $testDirs) {
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$size = (Get-ChildItem -Path $dir.FullName -Recurse -File | Measure-Object -Property Length -Sum).Sum
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$testSize += $size
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Remove-Item -Path $dir.FullName -Recurse -Force
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}
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if ($testDirs.Count -gt 0) {
|
||
Write-Host " 删除 $($testDirs.Count) 个目录，节省 $([math]::Round($testSize / 1MB, 2)) MB"
|
||
} else {
|
||
Write-Host " 未发现测试目录（已优化）" -ForegroundColor Gray
|
||
}
|
||
|
||
# 5. 删除文档和示例
|
||
Write-Host "`n[5/7] 删除 docs/examples 文档目录..." -ForegroundColor Green
|
||
$docDirs = Get-ChildItem -Path $DistPath -Recurse -Directory | Where-Object { $_.Name -match '^(docs|examples|samples|demo)$' }
|
||
$docSize = 0
|
||
foreach ($dir in $docDirs) {
|
||
$size = (Get-ChildItem -Path $dir.FullName -Recurse -File | Measure-Object -Property Length -Sum).Sum
|
||
$docSize += $size
|
||
Remove-Item -Path $dir.FullName -Recurse -Force
|
||
}
|
||
if ($docDirs.Count -gt 0) {
|
||
Write-Host " 删除 $($docDirs.Count) 个目录，节省 $([math]::Round($docSize / 1MB, 2)) MB"
|
||
} else {
|
||
Write-Host " 未发现文档目录（已优化）" -ForegroundColor Gray
|
||
}
|
||
|
||
# 6. 删除 .pyc 文件
|
||
Write-Host "`n[6/7] 删除 .pyc 字节码..." -ForegroundColor Green
|
||
$pycFiles = Get-ChildItem -Path $DistPath -Recurse -Include *.pyc -File
|
||
$pycSize = ($pycFiles | Measure-Object -Property Length -Sum).Sum / 1MB
|
||
if ($pycFiles.Count -gt 0) {
|
||
$pycFiles | Remove-Item -Force
|
||
Write-Host " 删除 $($pycFiles.Count) 个文件，节省 $([math]::Round($pycSize, 2)) MB"
|
||
} else {
|
||
Write-Host " 未发现 .pyc 文件（已优化）" -ForegroundColor Gray
|
||
}
|
||
|
||
# 7. 精简 .dist-info 元数据
|
||
Write-Host "`n[7/7] 精简 .dist-info 元数据..." -ForegroundColor Green
|
||
$distInfoDirs = Get-ChildItem -Path $DistPath -Recurse -Directory -Filter "*.dist-info"
|
||
$removedCount = 0
|
||
$removedSize = 0
|
||
foreach ($infoDir in $distInfoDirs) {
|
||
# 仅删安装期记账文件；保留 METADATA 与 entry_points.txt（运行期被 importlib.metadata 读取，删除会破坏插件发现）
|
||
$filesToRemove = @("RECORD", "INSTALLER", "direct_url.json")
|
||
foreach ($fileName in $filesToRemove) {
|
||
$file = Join-Path $infoDir.FullName $fileName
|
||
if (Test-Path $file) {
|
||
$size = (Get-Item $file).Length
|
||
$removedSize += $size
|
||
Remove-Item $file -Force
|
||
$removedCount++
|
||
}
|
||
}
|
||
}
|
||
if ($removedCount -gt 0) {
|
||
Write-Host " 删除 $removedCount 个元数据文件，节省 $([math]::Round($removedSize / 1MB, 2)) MB"
|
||
} else {
|
||
Write-Host " 未发现可清理的元数据（已优化）" -ForegroundColor Gray
|
||
}
|
||
|
||
# 统计最终体积
|
||
$FinalSize = (Get-ChildItem -Path $DistPath -Recurse -File | Measure-Object -Property Length -Sum).Sum / 1MB
|
||
$SavedSize = $InitialSize - $FinalSize
|
||
$SavedPercent = if ($InitialSize -gt 0) { ($SavedSize / $InitialSize) * 100 } else { 0 }
|
||
|
||
Write-Host "`n========================================" -ForegroundColor Cyan
|
||
Write-Host "清理完成！" -ForegroundColor Green
|
||
Write-Host "========================================" -ForegroundColor Cyan
|
||
Write-Host "初始体积: $([math]::Round($InitialSize, 2)) MB" -ForegroundColor Yellow
|
||
Write-Host "最终体积: $([math]::Round($FinalSize, 2)) MB" -ForegroundColor Green
|
||
Write-Host "节省空间: $([math]::Round($SavedSize, 2)) MB ($([math]::Round($SavedPercent, 1))%)" -ForegroundColor Cyan
|
||
Write-Host "========================================`n" -ForegroundColor Cyan
|
||
|
||
# 对比 参考项目
|
||
Write-Host "[对比参考]" -ForegroundColor Yellow
|
||
Write-Host "参考项目总体积: 323 MB (包含 PyQt, OpenCV, Playwright 等重量级库)" -ForegroundColor Gray
|
||
Write-Host "如果你的项目是纯 Tkinter + 标准库，目标应该在 80-150 MB" -ForegroundColor Gray
|
||
```
|
||
|
||
**预期效果**：节省 **15-30%** 体积
|
||
|
||
### 六、DLL 依赖分析工具
|
||
|
||
**保存为 `analyze_dlls.py`（用于找出体积大户）**：
|
||
|
||
```python
|
||
"""
|
||
DLL 依赖分析工具
|
||
参考 参考项目的 DLL 管理策略，帮助识别体积大户和优化建议
|
||
"""
|
||
import sys
|
||
from pathlib import Path
|
||
|
||
def analyze_dlls(dist_path: str):
|
||
"""分析 dist 目录中的 DLL 依赖"""
|
||
dist_dir = Path(dist_path)
|
||
|
||
if not dist_dir.exists():
|
||
print(f"[错误] 目录不存在: {dist_path}")
|
||
return
|
||
|
||
print("=" * 70)
|
||
print("DLL 依赖分析（参考 参考项目策略）")
|
||
print("=" * 70)
|
||
|
||
# 收集所有 DLL
|
||
dll_files = list(dist_dir.rglob("*.dll"))
|
||
|
||
if not dll_files:
|
||
print("\n未发现 DLL 文件")
|
||
return
|
||
|
||
# 按大小排序
|
||
dll_data = [(dll, dll.stat().st_size) for dll in dll_files]
|
||
dll_data.sort(key=lambda x: x[1], reverse=True)
|
||
|
||
total_size = sum(size for _, size in dll_data)
|
||
|
||
print(f"\n总 DLL 数量: {len(dll_files)}")
|
||
print(f"总 DLL 体积: {total_size / 1024 / 1024:.2f} MB\n")
|
||
|
||
# 参考项目对比
|
||
print("[对比参考] 参考项目的 DLL 情况:")
|
||
print(" - 总数量: 71 个")
|
||
print(" - 总体积: 93.23 MB")
|
||
print(" - 最大的: libopenblas (26.85 MB), opengl32sw (15.25 MB)\n")
|
||
|
||
# 分析大于 3MB 的 DLL
|
||
large_dlls = [(dll, size) for dll, size in dll_data if size > 3 * 1024 * 1024]
|
||
|
||
if large_dlls:
|
||
print("=" * 70)
|
||
print("WARNING: 大于 3MB 的 DLL（需重点关注）")
|
||
print("=" * 70)
|
||
|
||
for dll, size in large_dlls:
|
||
size_mb = size / 1024 / 1024
|
||
relative_path = dll.relative_to(dist_dir)
|
||
name_lower = dll.name.lower()
|
||
|
||
print(f"\n{size_mb:8.2f} MB {dll.name}")
|
||
print(f" 位置: {relative_path.parent}")
|
||
|
||
# 优化建议
|
||
suggestions = get_optimization_suggestion(name_lower)
|
||
if suggestions:
|
||
for suggestion in suggestions:
|
||
print(f" {suggestion}")
|
||
|
||
# 检查冗余 DLL
|
||
print("\n" + "=" * 70)
|
||
print(" 冗余检查")
|
||
print("=" * 70)
|
||
|
||
# 检查调试版本
|
||
debug_dlls = [dll for dll, _ in dll_data if dll.stem.endswith('d')]
|
||
if debug_dlls:
|
||
print(f"\nWARNING: 发现 {len(debug_dlls)} 个调试版本 DLL（可以删除）:")
|
||
for dll in debug_dlls:
|
||
print(f" - {dll.name}")
|
||
else:
|
||
print("\nPASS: 未发现调试版本 DLL（已优化）")
|
||
|
||
# VC++ Runtime
|
||
vc_runtimes = [dll for dll, _ in dll_data if 'vcruntime' in dll.name.lower() or 'msvcp' in dll.name.lower()]
|
||
if vc_runtimes:
|
||
print(f"\n[VC++ Runtime 库] 发现 {len(vc_runtimes)} 个:")
|
||
for dll in vc_runtimes:
|
||
size_mb = dll.stat().st_size / 1024 / 1024
|
||
print(f" - {dll.name} ({size_mb:.2f} MB)")
|
||
print(" 这些是必需的，参考项目也包含了这些文件")
|
||
|
||
# 全部 DLL 列表
|
||
print("\n" + "=" * 70)
|
||
print(" 完整 DLL 列表（按体积排序，前 20）")
|
||
print("=" * 70)
|
||
print(f"\n{'体积 (MB)':>10} {'文件名':<30} 位置")
|
||
print("-" * 70)
|
||
|
||
for dll, size in dll_data[:20]:
|
||
size_mb = size / 1024 / 1024
|
||
relative_path = dll.relative_to(dist_dir)
|
||
location = str(relative_path.parent) if relative_path.parent != Path('.') else "根目录"
|
||
print(f"{size_mb:10.2f} {dll.name:<30} {location}")
|
||
|
||
if len(dll_data) > 20:
|
||
remaining_size = sum(size for _, size in dll_data[20:]) / 1024 / 1024
|
||
print(f"... 还有 {len(dll_data) - 20} 个 DLL，共 {remaining_size:.2f} MB")
|
||
|
||
|
||
def get_optimization_suggestion(dll_name: str) -> list:
|
||
"""根据 DLL 名称给出优化建议"""
|
||
suggestions = []
|
||
|
||
if "openblas" in dll_name or "mkl" in dll_name:
|
||
suggestions.append("数学运算库，参考项目的 libopenblas 有 26.85 MB")
|
||
suggestions.append("如不需要高性能计算可考虑轻量版")
|
||
|
||
elif "opencv" in dll_name or "ffmpeg" in dll_name:
|
||
suggestions.append("OpenCV 相关，参考项目的 opencv_videoio_ffmpeg 有 18.48 MB")
|
||
suggestions.append("考虑用 opencv-python-headless")
|
||
|
||
elif "qt5" in dll_name or "qt6" in dll_name or "pyside" in dll_name:
|
||
suggestions.append("Qt 库，参考项目的 Qt5Core 有 5.13 MB")
|
||
suggestions.append("可排除不需要的模块（WebEngine, 3D, Charts）")
|
||
|
||
elif "opengl" in dll_name and "sw" in dll_name:
|
||
suggestions.append("OpenGL 软件渲染器，参考项目保留了 15.25 MB")
|
||
suggestions.append("通常可以删除（使用硬件渲染）")
|
||
|
||
elif "d3dcompiler" in dll_name:
|
||
suggestions.append("DirectX 编译器，参考项目有 3.53 MB")
|
||
|
||
elif "mfc140" in dll_name:
|
||
suggestions.append("MFC 库，参考项目有 4.89 MB")
|
||
|
||
return suggestions
|
||
|
||
|
||
if __name__ == "__main__":
|
||
if len(sys.argv) < 2:
|
||
print("用法: python analyze_dlls.py <dist目录路径>")
|
||
print("示例: python analyze_dlls.py dist/main.dist")
|
||
sys.exit(1)
|
||
|
||
analyze_dlls(sys.argv[1])
|
||
```
|
||
|
||
**使用方法**：
|
||
```bash
|
||
python analyze_dlls.py dist/你的软件名.dist
|
||
```
|
||
|
||
---
|
||
|
||
## 完整优化工作流
|
||
|
||
### 步骤 1：修改编译脚本配置
|
||
|
||
编辑 `build_optimized.bat`，修改这 3 行：
|
||
|
||
```batch
|
||
set APP_NAME=你的软件名 REM 改成实际名称
|
||
set MAIN_FILE=main.py REM 你的主程序文件
|
||
set ICON_FILE=icon.ico REM 你的图标文件
|
||
```
|
||
|
||
### 步骤 2：一键编译+瘦身
|
||
|
||
```bash
|
||
# 在项目根目录执行
|
||
build_optimized.bat
|
||
```
|
||
|
||
### 步骤 3：分析 DLL 依赖
|
||
|
||
```bash
|
||
python analyze_dlls.py dist/你的软件名.dist
|
||
```
|
||
|
||
### 步骤 4：根据分析结果优化
|
||
|
||
**如果用了 OpenCV** → 改用无头版
|
||
```bash
|
||
pip uninstall opencv-python
|
||
pip install opencv-python-headless
|
||
```
|
||
|
||
**如果用了 Qt** → 排除不需要的模块
|
||
```batch
|
||
# 在编译命令中添加
|
||
--nofollow-import-to=PyQt5.QtWebEngine,PyQt5.Qt3D,PyQt5.QtCharts
|
||
```
|
||
|
||
**删除软件渲染器**（如果不需要）
|
||
```powershell
|
||
# 在 dist 目录执行
|
||
Remove-Item "opengl32sw.dll" -Force
|
||
```
|
||
|
||
---
|
||
|
||
## VC++ 运行库处理方案
|
||
|
||
### 方案一：静态链接（推荐）
|
||
```bash
|
||
nuitka --static-libpython=yes ...
|
||
```
|
||
|
||
### 方案二：捆绑运行库安装（商业发布推荐）
|
||
在 Inno Setup 脚本中添加：
|
||
|
||
```iss
|
||
; WARNING: VC++ 运行库架构必须与 Python/Nuitka 构建架构一致。
|
||
; 本 skill 推荐 32 位 Python，故默认捆绑 vc_redist.x86.exe；
|
||
; 若用 64 位 Python 编译，请把下面两处改为 vc_redist.x64.exe。
|
||
[Files]
|
||
Source: "{#MySourceDir}\..\vc_redist.x86.exe"; DestDir: "{tmp}"; Flags: deleteafterinstall
|
||
|
||
[Run]
|
||
Filename: "{tmp}\vc_redist.x86.exe"; Parameters: "/quiet /norestart"; StatusMsg: "正在安装运行库..."; Flags: waituntilterminated
|
||
```
|
||
|
||
> 下载地址：[Microsoft Visual C++ Redistributable](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist)
|
||
|
||
---
|
||
|
||
## Inno Setup 脚本模板（商业终极版）
|
||
|
||
```iss
|
||
; =====================================================================
|
||
; WARNING: 商业级 Python 安装脚本 (Inno Setup 6.x)
|
||
; 特性：LZMA2 极限压缩 | 全中文 | 完整元数据 | 无残留卸载
|
||
; 参考：参考项目(323 MB, LZMA2 压缩)
|
||
; =====================================================================
|
||
|
||
; --- 1. 参数定义 ---
|
||
#define MyAppName "{{APP_NAME}}"
|
||
#define MyAppVersion "{{APP_VERSION}}"
|
||
#define MyAppPublisher "{{PUBLISHER}}"
|
||
#define MyAppURL "{{APP_URL}}"
|
||
#define MyAppExeName "{{EXE_NAME}}"
|
||
#define MySourceDir "{{SOURCE_DIR}}"
|
||
#define MyOutputDir "{{OUTPUT_DIR}}"
|
||
;#define MyIconPath "{{ICON_PATH}}"
|
||
|
||
[Setup]
|
||
; --- 身份识别 ---
|
||
AppId={{GENERATE_RANDOM_GUID}}
|
||
AppName={#MyAppName}
|
||
AppVersion={#MyAppVersion}
|
||
AppPublisher={#MyAppPublisher}
|
||
AppPublisherURL={#MyAppURL}
|
||
AppSupportURL={#MyAppURL}
|
||
AppUpdatesURL={#MyAppURL}
|
||
|
||
; --- 安装路径与权限 ---
|
||
DefaultDirName={autopf}\{#MyAppName}
|
||
DefaultGroupName={#MyAppName}
|
||
DisableDirPage=no
|
||
DisableProgramGroupPage=no
|
||
PrivilegesRequired=admin
|
||
|
||
; --- 输出设置 ---
|
||
OutputDir={#MyOutputDir}
|
||
OutputBaseFilename=Setup_{#MyAppName}_v{#MyAppVersion}
|
||
|
||
; --- 视觉体验 ---
|
||
WizardStyle=modern
|
||
#ifdef MyIconPath
|
||
SetupIconFile={#MyIconPath}
|
||
UninstallDisplayIcon={app}\{#MyAppExeName}
|
||
#endif
|
||
|
||
; --- 核心压缩 (参考 参考项目) ---
|
||
Compression=lzma2/ultra64
|
||
SolidCompression=yes
|
||
LZMAUseSeparateProcess=yes
|
||
|
||
; --- 架构 ---
|
||
; 注意：仅 64 位 Python 构建才设此项。本 skill 推荐 32 位 Python——
|
||
; 32 位构建请保持注释，使应用按 32 位安装并与上面捆绑的 vc_redist.x86.exe 匹配。
|
||
; 仅当用 64 位 Python 编译时才取消注释。
|
||
;ArchitecturesInstallIn64BitMode=x64compatible
|
||
|
||
[Languages]
|
||
Name: "chinesesimplified"; MessagesFile: "compiler:Languages\ChineseSimplified.isl"
|
||
|
||
[Files]
|
||
Source: "{#MySourceDir}\*"; DestDir: "{app}"; Flags: ignoreversion recursesubdirs createallsubdirs
|
||
|
||
[UninstallDelete]
|
||
Type: filesandordirs; Name: "{app}\*"
|
||
|
||
[Icons]
|
||
Name: "{autodesktop}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}"; Tasks: desktopicon
|
||
Name: "{group}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}"
|
||
Name: "{group}\卸载 {#MyAppName}"; Filename: "{uninstallexe}"
|
||
|
||
[Tasks]
|
||
Name: "desktopicon"; Description: "{cm:CreateDesktopIcon}"; GroupDescription: "{cm:AdditionalIcons}"; Flags: unchecked
|
||
|
||
[Run]
|
||
Filename: "{app}\{#MyAppExeName}"; Description: "{cm:LaunchProgram,{#MyAppName}}"; Flags: nowait postinstall skipifsilent
|
||
```
|
||
|
||
---
|
||
|
||
## 占位符说明
|
||
|
||
| 占位符 | 说明 | 示例值 |
|
||
|--------|------|--------|
|
||
| `{{APP_NAME}}` | 软件显示名称 | `红墨批注` |
|
||
| `{{APP_VERSION}}` | 版本号 | `1.0.0` |
|
||
| `{{PUBLISHER}}` | 发布者/公司名 | `MyCompany` |
|
||
| `{{APP_URL}}` | 官网地址 | `https://example.com` |
|
||
| `{{EXE_NAME}}` | 主程序文件名 | `RedInk.exe` |
|
||
| `{{SOURCE_DIR}}` | Nuitka dist 文件夹路径 | `D:\project\dist\RedInk.dist` |
|
||
| `{{OUTPUT_DIR}}` | 安装包输出路径 | `D:\project\output` |
|
||
| `{{ICON_PATH}}` | 图标文件路径 | `D:\project\icon.ico` |
|
||
| `{{GENERATE_RANDOM_GUID}}` | **需生成唯一GUID** | 使用 Inno Setup "Tools > Generate GUID" |
|
||
|
||
---
|
||
|
||
## 常见问题 (FAQ)
|
||
|
||
### Q1: 安装后双击程序无反应？
|
||
1. 打开 CMD，手动运行 exe 查看错误信息
|
||
2. 检查是否缺少 VC++ 运行库
|
||
3. 检查 Nuitka 编译是否成功
|
||
|
||
### Q2: 安装包体积过大？
|
||
**优化方法**：
|
||
1. 使用 32 位 Python 编译（节省 20-30%）
|
||
2. 应用 参考项目的模块排除清单
|
||
3. 启用 Anti-Bloat 插件
|
||
4. 执行 dist 文件夹瘦身脚本
|
||
5. 分析 DLL，移除不必要的大文件
|
||
|
||
### Q3: 杀毒软件误报？
|
||
**解决方案**：
|
||
- 提交到主流杀毒厂商进行白名单申请
|
||
- 购买代码签名证书（推荐：Sectigo, DigiCert）
|
||
- 避免使用 UPX 压缩
|
||
|
||
### Q4: 安装时提示 Windows 已保护你的电脑？
|
||
- 购买 EV 代码签名证书（可立即获得信任）
|
||
- 普通代码签名证书需要积累安装量后逐渐获得信任
|
||
|
||
---
|
||
|
||
## 实战问题处理记录（更新 2026-02-07）
|
||
|
||
- **安装后提示缺少 python3xx.dll**：必须使用 Nuitka `--standalone`；确认 dist 内存在该 dll；不要打单文件版。
|
||
- **安装后点击无反应**：GUI 启动期可能被重依赖阻塞；将重依赖延迟到"开始导出"再 import；添加日志排查。
|
||
- **Nuitka + MinGW 在非 ASCII 路径报错**：把源码复制到 ASCII 目录再编译；设置 `PYTHONIOENCODING=utf-8`。
|
||
- **Inno Setup 警告 `x64` 已弃用（仅 64 位构建需要 64 位安装模式时）**：改为 `ArchitecturesInstallIn64BitMode=x64compatible`；32 位构建无需此项。
|
||
- **`--disable-console` 已废弃**：改用 `--windows-console-mode=disable`。
|
||
- **dist 出现 `_nuitka_temp.exe`**：在 [Files] 中排除它。
|
||
|
||
---
|
||
|
||
## 优化效果预期
|
||
|
||
| 优化组合 | 体积减少 | 启动提升 | 风险等级 |
|
||
|----------|----------|----------|----------|
|
||
| 基础编译 | 基准 | 基准 | 无 |
|
||
| + `--lto=yes` | 5-10% | 10-20% | PASS: 无 |
|
||
| + anti-bloat | 15-25% | - | PASS: 无 |
|
||
| + 模块排除 | 20-35% | 5% | PASS: 无 |
|
||
| + dist 瘦身 | 25-40% | - | PASS: 无 |
|
||
| + 32 位编译 | 40-60% | - | PASS: 无 |
|
||
| **全部组合** | **45-65%** | **15-25%** | PASS: **无风险** |
|
||
|
||
> WARNING: **不建议使用 UPX 压缩**，虽然能进一步减小体积，但极易触发杀毒软件误报。
|
||
|
||
---
|
||
|
||
**基于 参考项目实战经验优化，助你打造商业级安装包！**
|