初始化提交

tianmu/pyproject.toml

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+[project]
+name = "tianmu"
+version = "0.2.0"
+description = "天目 · 魂镜本地 OCR 引擎 — PP-OCRv6（via RapidOCR）+ PaddleOCR-VL-1.6"
+authors = [{ name = "chenxin", email = "2685475410@qq.com" }]
+license = "MIT"
+requires-python = ">=3.12"
+dependencies = [
+    "fastapi>=0.139.0",
+    "httpx[http2]>=0.28.1",
+    "loguru>=0.7.3",
+    "pillow>=10.0.0",
+    "pydantic>=2.13.4",
+    "pydantic-settings>=2.14.2",
+    "python-multipart>=0.0.32",
+    "uvicorn[standard]>=0.51.0",
+]
+
+[project.optional-dependencies]
+# ═══════════════════════════════════════════════════════════
+# PP-OCRv6 引擎（RapidOCR + ONNX Runtime）
+# ═══════════════════════════════════════════════════════════
+# CPU 推理（所有平台通用，包括 M4 的 CoreML 实验性支持）
+rapidocr = [
+    "rapidocr>=3.9.0",
+    "onnxruntime>=1.20.0",
+]
+
+# GPU 推理（NVIDIA CUDA，仅 Linux/Windows）
+rapidocr-gpu = [
+    "onnxruntime-gpu>=1.20.0",
+]
+
+# ═══════════════════════════════════════════════════════════
+# PaddleOCR-VL 引擎（HuggingFace Transformers）
+# ═══════════════════════════════════════════════════════════
+# CPU/MPS（macOS 自动获取 CPU/MPS 版本，Linux/Windows 自动走 CPU 版本）
+vl = [
+    "torch>=2.0.0",
+    "torchvision>=0.15.0",
+    "transformers>=5.0.0",
+]
+
+# GPU（通过 [tool.uv.sources] 自动选择 CUDA 版本，无需重复声明）
+# 见下方 pytorch-cu128 源映射：Linux/Windows 自动使用 CUDA 12.8 版本
+# ═══════════════════════════════════════════════════════════
+
+all = ["tianmu[rapidocr,rapidocr-gpu,vl]"]
+dev = [
+    "pre-commit>=4.6.0",
+    "pytest>=9.1.1",
+    "pytest-asyncio>=1.4.0",
+    "ruff>=0.15.21",
+]
+lint = ["black>=26.5.1", "mypy>=2.3.0", "ruff>=0.15.21"]
+test = ["pytest>=9.1.1", "pytest-asyncio>=1.4.0", "pytest-cov>=7.1.0"]
+dev-all = ["tianmu[dev,lint,test]"]
+
+[project.scripts]
+tianmu = "src.main:main_cli"
+
+# =============================================
+# uv 配置 - 跨平台 PyTorch 自动适配
+# =============================================
+
+# 默认使用中科大镜像（所有平台通用）
+[[tool.uv.index]]
+name = "ustc"
+url = "https://pypi.mirrors.ustc.edu.cn/simple/"
+default = true
+
+# PyTorch CUDA 12.8 专用源（仅 Linux/Windows 使用）
+[[tool.uv.index]]
+name = "pytorch-cu128"
+url = "https://mirrors.nju.edu.cn/pytorch/whl/cu128/"
+explicit = true
+
+# === 包来源映射：根据操作系统自动选择 ===
+[tool.uv.sources]
+# Linux/Windows：使用 CUDA 12.8 版本
+torch = { index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" }
+torchvision = { index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" }
+torchaudio = { index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" }
+tianmu = { workspace = true }
+
+# macOS：从默认源（中科大）自动获取 CPU/MPS 版本
+# 不需要额外配置，会自动回退到 default = true 的源
+
+# 验证命令：
+# macOS: python -c "import torch; print(f'PyTorch: {torch.__version__}'); print(f'MPS available: {torch.backends.mps.is_available()}')"
+# Linux:  python -c "import torch; print(f'PyTorch: {torch.__version__}'); print(f'CUDA available: {torch.cuda.is_available()}')"
+
+[build-system]
+requires = ["hatchling>=1.25.0"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src"]
+
+[tool.ruff]
+line-length = 100
+target-version = "py312"
+
+[tool.ruff.lint]
+select = ["E", "F", "I", "N", "W"]
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+testpaths = ["tests"]