NuoYi/pyproject.toml at main · cycleuser/NuoYi · GitHub

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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "nuoyi"
dynamic = ["version"]
description = "A simple tool to transform PDF and DOCX to Markdown using marker-pdf"
readme = "README.md"
license = "GPL-3.0-or-later"
authors = [
    { name = "CycleUser", email = "cycleuser@cycleuser.org" }
]
keywords = [
    "pdf",
    "docx",
    "markdown",
    "converter",
    "ocr",
    "document",
    "marker-pdf",
    "amd",
    "radeon",
    "directml",
    "gpu",
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Environment :: Console",
    "Environment :: X11 Applications :: Qt",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering",
    "Topic :: Text Processing :: Markup :: Markdown",
    "Topic :: Utilities",
]
requires-python = ">=3.10"
dependencies = [
    "marker-pdf>=1.0.0",
    "PyMuPDF>=1.23.0",
    "python-docx>=0.8.11",
    "Pillow>=9.0.0",
]

[project.optional-dependencies]
gui = [
    "PySide6>=6.5.0",
]
web = [
    "flask>=2.0.0",
]
dev = [
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
    "build>=1.0.0",
    "twine>=4.0.0",
    "ruff>=0.1.0",
]

# NVIDIA CUDA support - ensures complete CUDA library installation
# Required for marker-pdf to work properly with GPU acceleration
#
# IMPORTANT: PyTorch 2.10+ installs nvidia-*-cu13 packages, but some libraries
# (surya, transformers) need nvidia-*-cu12 packages for module path discovery.
# This ensures both cu12 and cu13 paths are available.
#
# Install with: pip install nuoyi[cuda]
# Or: pip install nuoyi[all-cuda] for complete installation
cuda = [
    # cu12 packages - provide nvidia/cublas/, nvidia/cuda_runtime/, etc. paths
    # Required for surya/transformers to find CUDA libraries via import
    "nvidia-cublas-cu12>=12.0.0",
    "nvidia-cuda-runtime-cu12>=12.0.0",
    "nvidia-cufft-cu12>=11.0.0",
    "nvidia-cusolver-cu12>=11.0.0",
    "nvidia-cusparse-cu12>=12.0.0",
    "nvidia-curand-cu12>=10.0.0",
    "nvidia-cuda-nvrtc-cu12>=12.0.0",
    "nvidia-nvtx-cu12>=12.0.0",
    "nvidia-nvjitlink-cu12>=12.0.0",
]

# AMD GPU support - install manually after torch is installed
# pip install torch-directml
# See AMD_GPU_SETUP.md for details

# PDF Engine optional dependencies
mineru = [
    "magic-pdf>=1.3.0",
]
docling = [
    "docling>=1.0.0",
]
pymupdf = [
    "pymupdf4llm>=0.0.17",
]
pdfplumber = [
    "pdfplumber>=0.10.0",
]

# All local engines
engines = [
    "magic-pdf>=1.3.0",
    "docling>=1.0.0",
    "pymupdf4llm>=0.0.17",
    "pdfplumber>=0.10.0",
]

# Everything (local engines)
all = [
    "nuoyi[gui,web,dev,engines]",
]

# Everything with CUDA support
all-cuda = [
    "nuoyi[gui,web,dev,engines,cuda]",
]

[project.scripts]
nuoyi = "nuoyi.cli:main"

[project.urls]
Homepage = "https://github.com/cycleuser/NuoYi"
Documentation = "https://github.com/cycleuser/NuoYi#readme"
Repository = "https://github.com/cycleuser/NuoYi.git"
Issues = "https://github.com/cycleuser/NuoYi/issues"
Changelog = "https://github.com/cycleuser/NuoYi/blob/main/CHANGELOG.md"

[tool.hatch.version]
path = "src/nuoyi/__init__.py"

[tool.hatch.build.targets.sdist]
include = [
    "/src",
]

[tool.hatch.build.targets.wheel]
packages = ["src/nuoyi"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_functions = ["test_*"]
addopts = "-v --tb=short"

[tool.ruff]
target-version = "py39"
line-length = 100

[tool.ruff.lint]
select = ["E", "F", "W", "I", "N", "UP", "B", "C4"]
ignore = ["E501"]