172 lines
4.0 KiB
RPMSpec
172 lines
4.0 KiB
RPMSpec
# -*- mode: python ; coding: utf-8 -*-
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# WindowMsgBot PyInstaller spec文件
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# 用法: pyinstaller build/windowmsgbot.spec
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import os
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import sys
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from PyInstaller.utils.hooks import collect_submodules, collect_data_files
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# 项目根目录
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PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(SPEC)))
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# 收集所有需要的子模块
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hiddenimports = [
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'uiautomation',
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'win32gui',
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'win32con',
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'win32api',
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'win32process',
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'psutil',
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'PIL',
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'PIL.Image',
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'PIL.ImageGrab',
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'PIL.ImageEnhance',
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'PIL.ImageFilter',
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'easyocr',
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'numpy',
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'torch',
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'torchvision',
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'sklearn',
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'sklearn.feature_extraction.text',
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'sklearn.metrics.pairwise',
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'jieba',
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'customtkinter',
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'comtypes',
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'comtypes.client',
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'win32com',
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'win32com.client',
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'pythoncom',
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'pywintypes',
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'ctypes',
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'ctypes.wintypes',
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'sqlite3',
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'json',
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'hashlib',
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'difflib',
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'unicodedata',
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'signal',
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'subprocess',
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'threading',
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'logging',
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'traceback',
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'faulthandler',
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're',
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'random',
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'datetime',
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'time',
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'sys',
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'os',
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'io',
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'math',
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'struct',
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'codecs',
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'encodings',
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'encodings.utf_8',
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'encodings.gbk',
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'encodings.gb2312',
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'encodings.gb18030',
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]
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# 数据文件
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datas = [
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# 知识库目录
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(os.path.join(PROJECT_ROOT, '知识库'), '知识库'),
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# 偏旁库
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(os.path.join(PROJECT_ROOT, 'unicode_radicals.md'), '.'),
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# 配置文件
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(os.path.join(PROJECT_ROOT, 'config.json'), '.'),
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# EasyOCR worker脚本（作为数据文件，运行时提取）
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(os.path.join(PROJECT_ROOT, 'easyocr_worker.py'), '.'),
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# 其他必要文件
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(os.path.join(PROJECT_ROOT, 'auto_reply.py'), '.'),
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(os.path.join(PROJECT_ROOT, 'knowledge_base.py'), '.'),
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(os.path.join(PROJECT_ROOT, 'config.py'), '.'),
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(os.path.join(PROJECT_ROOT, 'gui.py'), '.'),
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]
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# 收集easyocr数据文件
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easyocr_datas = collect_data_files('easyocr')
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datas.extend(easyocr_datas)
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# 分析
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a = Analysis(
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[os.path.join(PROJECT_ROOT, 'main.py')],
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pathex=[PROJECT_ROOT],
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binaries=[],
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datas=datas,
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hiddenimports=hiddenimports,
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hookspath=[os.path.join(PROJECT_ROOT, 'build', 'hooks')],
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hooksconfig={},
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runtime_hooks=[],
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excludes=[
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'tkinter.test',
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'unittest',
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'test',
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'distutils',
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'setuptools',
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'pip',
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'pkg_resources',
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'pydoc',
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'doctest',
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'torch.autograd',
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'torch.testing',
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'torch.distributed',
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'torch.fx',
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'torch.jit',
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'torch.onnx',
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'torch.profiler',
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'torch.sparse',
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'torch.utils.benchmark',
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'torch.utils.bottleneck',
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'torch.utils.checkpoint',
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'torch.utils.collect_env',
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'torch.utils.cpp_extension',
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'torch.utils.data',
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'torch.utils.deterministic',
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'torch.utils.dlpack',
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'torch.utils.file_baton',
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'torch.utils.hipify',
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'torch.utils.jit',
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'torch.utils.mobile_optimizer',
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'torch.utils.model_zoo',
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'torch.utils.show_pickle',
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'torch.utils.tensorboard',
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'torch.utils.throughput_benchmark',
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],
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noarchive=False,
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)
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# 过滤掉不必要的大文件
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a.datas = [d for d in a.datas if not d[0].endswith(('.pyc', '.pyo'))]
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# PYZ - Python字节码
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pyz = PYZ(a.pure)
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# EXE - 主程序（onedir模式：只放脚本+PYZ，不嵌入binaries/data）
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exe = EXE(
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pyz,
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a.scripts,
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[],
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exclude_binaries=True, # onedir关键：不嵌入二进制，交给COLLECT
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name='WindowMsgBot',
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debug=False,
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bootloader_ignore_signals=False,
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strip=False,
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upx=False, # UPX对大型DLL（torch/scipy）常出问题，关掉
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console=True,
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disable_windowed_traceback=False,
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argv_emulation=False,
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target_arch=None,
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codesign_identity=None,
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entitlements_file=None,
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)
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# COLLECT - 收集所有文件到输出目录
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coll = COLLECT(
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exe,
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a.binaries,
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a.datas,
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strip=False,
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upx=False,
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name='WindowMsgBot',
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) |