study-assistant/StudyAssistant.spec at main · gooku362/study-assistant · GitHub

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# -*- mode: python ; coding: utf-8 -*-

# Keep this spec intentionally small. In Anaconda environments, broad
# collect_submodules("openai"/"pydantic") can pull IPython, matplotlib, sphinx
# and many unrelated packages, causing slow or failed builds.
from pathlib import Path

icon_file = Path("assets/app.ico")
datas = [("assets", "assets")] if icon_file.exists() else []
icon = str(icon_file) if icon_file.exists() else None

hiddenimports = [
    "docx",
    "docx.oxml",
    "docx.opc",
    "docx.parts",
    "openai",
    "httpx",
    "httpcore",
    "anyio",
    "sniffio",
    "pydantic",
    "pydantic_core",
    "jiter",
    "distro",
    "certifi",
    "tqdm",
]


a = Analysis(
    ["main.py"],
    pathex=[],
    binaries=[],
    datas=datas,
    hiddenimports=hiddenimports,
    hookspath=[],
    hooksconfig={},
    runtime_hooks=[],
    excludes=[
        "IPython",
        "matplotlib",
        "numpy",
        "pandas",
        "scipy",
        "sphinx",
        "pytest",
        "notebook",
        "jupyter",
    ],
    noarchive=False,
    optimize=0,
)
pyz = PYZ(a.pure)

exe = EXE(
    pyz,
    a.scripts,
    [],
    exclude_binaries=True,
    name="StudyAssistant",
    debug=False,
    bootloader_ignore_signals=False,
    strip=False,
    upx=True,
    console=False,
    disable_windowed_traceback=False,
    argv_emulation=False,
    target_arch=None,
    codesign_identity=None,
    entitlements_file=None,
    icon=icon,
)
coll = COLLECT(
    exe,
    a.binaries,
    a.datas,
    strip=False,
    upx=True,
    upx_exclude=[],
    name="StudyAssistant",
)