4589289635
问题: - PyInstaller在分析阶段尝试导入torch/transformers等ML库 - 这些库与Python 3.13不兼容，导致"Windows fatal exception: access violation" - 构建过程无法完成，无法生成exe文件 解决方案: 1. 添加pyi_hooks/pyi_rth_ignore_torch.py运行时hook - 在PyInstaller分析阶段阻止torch等模块的导入 - 这些模块将在运行时动态安装 2. 添加pyi_hooks/hook-exclude-ml.py和hook-paddleocr.py - 明确告诉PyInstaller不收集这些ML库 3. 更新build.bat和build.sh - 使用--runtime-hook和--additional-hooks-dir - 添加--exclude-module参数排除所有ML库 测试: - 验证所有hook文件语法正确 - 验证项目核心功能可以在不导入torch的情况下正常工作 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
"""
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PyInstaller runtime hook to prevent torch import during analysis
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This hook runs before PyInstaller's module analysis phase.
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It blocks problematic modules from being imported during the build process.
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"""
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import sys
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# List of modules to block during PyInstaller analysis
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BLOCKED_MODULES = [
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'torch',
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'transformers',
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'tensorflow',
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'onnx',
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'onnxruntime',
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'sentencepiece',
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'tokenizers',
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'diffusers',
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'accelerate',
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'datasets',
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'huggingface_hub',
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'safetensors',
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]
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# Override the import mechanism to block these modules
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class BlockModuleImport:
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"""Meta path importer to block specific modules during PyInstaller build"""
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def find_module(self, fullname, path=None):
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if fullname in BLOCKED_MODULES or any(
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fullname.startswith(m + '.') for m in BLOCKED_MODULES
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):
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# Return self to handle the import (will raise ImportError)
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return self
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return None
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def load_module(self, fullname):
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raise ImportError(
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f"Module '{fullname}' is excluded from PyInstaller build. "
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f"It will be installed at runtime if needed."
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)
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# Install the blocker at the start of PyInstaller analysis
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if '_MEIPASS' not in sys.__dict__:
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# Only during build time (not when running the frozen app)
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sys.meta_path.insert(0, BlockModuleImport())
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