diff --git a/Makefile b/Makefile index 0987767..7b7eba8 100644 --- a/Makefile +++ b/Makefile @@ -67,10 +67,10 @@ dev-sandbox: cd sandbox && cargo run dev-tianmu: - cd tianmu && uv run python -m src.main + cd tianmu && uv run tianmu dev-yuanqi: - cd yuanqi && uv run python -m src.main + cd yuanqi && uv run uvicorn src.main:app # 核心三服务并行：灵台 + 神识 + 照壁（M0 验收链路） dev-core: diff --git a/tianmu/README.md b/tianmu/README.md index 989c298..b0edb3f 100644 --- a/tianmu/README.md +++ b/tianmu/README.md @@ -101,22 +101,42 @@ cd tianmu # 2. 创建虚拟环境并安装依赖 uv venv -p 3.12 source .venv/bin/activate -uv sync --extra rapidocr -# 3. 启动天目（推荐） +# 3. 安装依赖（根据平台和需求选择） +# macOS（Apple Silicon）推荐 +uv sync --system-certs --extra macos + +# Linux/Windows（带 GPU 支持） +uv sync --extra all + +# 仅 PP-OCRv6（所有平台） +uv sync --system-certs --extra rapidocr + +# 4. 启动天目（推荐） uv run tianmu -# 4. 验证健康检查 +# 5. 验证健康检查 curl http://localhost:8101/healthz -# 5. 测试 OCR（base64 图片） +# 6. 测试 OCR（base64 图片） python3 tests/test_ocr.py ``` +## 平台与依赖说明 + +| 平台 | 推荐命令 | 说明 | +| ------ | --------- | ------ | +| **macOS（Apple Silicon）** | `uv sync --system-certs --extra macos` | 自动使用 CPU/MPS，跳过 GPU 依赖 | +| **Linux（NVIDIA GPU）** | `uv sync --extra all` | 自动使用 CUDA 12.8 版本 | +| **Windows（NVIDIA GPU）** | `uv sync --extra all` | 自动使用 CUDA 12.8 版本 | +| **所有平台（仅 CPU）** | `uv sync --system-certs --extra rapidocr --extra vl` | 通用 CPU 版本 | + +> **注意**：macOS 用户需要使用 `--system-certs` 标志来解决 SSL 证书验证问题，或在 `~/.zshrc` 中设置 `export UV_SYSTEM_CERTS=true`。 + ## 启动方式对比 | 命令 | 适用场景 | reload | 泄漏警告 | -|------|---------|--------|---------| +| ------ | --------- | -------- | --------- | | `uv run tianmu` | 开发（推荐） | ❌ | ❌ | | `uv run uvicorn src.main:app --port 8101 --reload` | 开发热重载 | ✅ | ⚠️ reloader 进程可能打印 resource_tracker 警告 | | `python3 -m src.main` | 快速测试 | ❌ | ❌ | @@ -125,7 +145,7 @@ python3 tests/test_ocr.py ## 启动和测试 -天目提供两种测试方式： +天目提供三种测试方式： ### 方式一：远程图片测试 @@ -225,17 +245,53 @@ docker compose -f docker/docker-compose.app.yml --profile tianmu up -d --build h ## 依赖分组 +天目提供灵活的依赖安装方式，适应不同平台和场景： + +### 基础分组 + +| Extra | 包含内容 | 适用平台 | +| ------- | --------- | --------- | +| `rapidocr` | PP-OCRv6 引擎（CPU） | 所有平台 | +| `rapidocr-gpu` | PP-OCRv6 引擎（GPU） | Linux/Windows 仅 | +| `vl` | PaddleOCR-VL 引擎 | 所有平台（GPU 自动适配） | +| `dev` | 开发工具（pytest, ruff, pre-commit） | 所有平台 | +| `lint` | 代码检查（black, mypy, ruff） | 所有平台 | +| `test` | 测试工具（pytest 系列） | 所有平台 | + +### 组合分组 + +| Extra | 包含内容 | 适用平台 | 安装命令 | +| ------- | --------- | --------- | --------- | +| `all` | rapidocr + vl + GPU（非 macOS） | 所有平台（自动适配） | `uv sync --extra all` | +| `macos` | rapidocr + vl + dev + lint + test | macOS 专用 | `uv sync --system-certs --extra macos` | +| `gpu` | rapidocr-gpu + vl | Linux/Windows 专用 | `uv sync --extra gpu` | +| `dev-all` | dev + lint + test | 所有平台 | `uv sync --extra dev-all` | + +### 安装示例 + ```bash -# 仅 PP-OCRv6（默认推荐） -uv sync --extra rapidocr +# macOS 开发环境（推荐） +uv sync --system-certs --extra macos -# PP-OCRv6 + PaddleOCR-VL（需要复杂文档解析） -uv sync --extra rapidocr --extra vl - -# 所有可选 +# Linux/Windows 生产环境（GPU） uv sync --extra all + +# 所有平台通用 CPU 版本（仅运行环境） +uv sync --system-certs --extra rapidocr --extra vl + +# 仅 PP-OCRv6（轻量部署） +uv sync --system-certs --extra rapidocr + +# 仅开发工具 +uv sync --system-certs --extra dev-all ``` +> **跨平台自动适配**： +> +> - **PyTorch**：在 Linux/Windows 上自动使用 CUDA 12.8 版本，在 macOS 上使用 CPU/MPS 版本 +> - **ONNX Runtime**：在 macOS 上自动使用 CPU 版本，在 Linux/Windows 上可使用 GPU 版本 +> - **SSL 证书**：macOS 用户需要 `--system-certs` 或设置 `UV_SYSTEM_CERTS=true` + ## 测试 ```bash @@ -245,3 +301,30 @@ pytest tests/ -v # 集成测试（需先启动服务） python3 tests/test_ocr.py ``` + +## 常见问题 + +### Q: macOS 上安装时出现 SSL 证书错误？ + +```bash +# 使用系统证书 +uv sync --system-certs + +# 或设置环境变量（永久解决） +export UV_SYSTEM_CERTS=true +uv sync +``` + +### Q: macOS 上 `onnxruntime-gpu` 安装失败？ + +天目已自动处理此问题。在 macOS 上使用 `--extra macos` 或 `--extra all` 时会自动跳过 GPU 依赖。如遇到问题，请确保使用最新的 `pyproject.toml` 配置。 + +### Q: 如何确认 PyTorch 使用了正确的后端？ + +```bash +# macOS 检查 MPS 支持 +python -c "import torch; print(f'PyTorch: {torch.__version__}'); print(f'MPS available: {torch.backends.mps.is_available()}')" + +# Linux 检查 CUDA 支持 +python -c "import torch; print(f'PyTorch: {torch.__version__}'); print(f'CUDA available: {torch.cuda.is_available()}')" +``` diff --git a/tianmu/pyproject.toml b/tianmu/pyproject.toml index 615fa35..6472d07 100644 --- a/tianmu/pyproject.toml +++ b/tianmu/pyproject.toml @@ -21,31 +21,28 @@ 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", -] +rapidocr = ["rapidocr>=3.9.0", "onnxruntime>=1.20.0"] # GPU 推理（NVIDIA CUDA，仅 Linux/Windows） -rapidocr-gpu = [ - "onnxruntime-gpu>=1.20.0", -] +rapidocr-gpu = ["onnxruntime-gpu>=1.20.0; sys_platform != 'darwin'"] # ═══════════════════════════════════════════════════════════ # 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", -] +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]"] +# all - 在所有平台上安装可用组件（macOS 自动跳过 GPU） +all = [ + "tianmu[rapidocr,vl]", + # 在非 macOS 平台上额外安装 GPU 依赖 + "onnxruntime-gpu>=1.20.0; sys_platform != 'darwin'", +] + dev = [ "pre-commit>=4.6.0", "pytest>=9.1.1", @@ -56,6 +53,12 @@ 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]"] +# macOS 专用 extra（包含所有 macOS 兼容组件） +macos = ["tianmu[rapidocr,vl,dev,lint,test]"] + +# GPU 专用 extra（仅 Linux/Windows） +gpu = 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ASR（语音识别）：FunASR 模型名称。自动下载到 models/funasr/<模型名>。 asr_model: str = "iic/SenseVoiceSmall" diff --git a/yuanqi/uv.lock b/yuanqi/uv.lock index d051269..f580e8b 100644 --- a/yuanqi/uv.lock +++ b/yuanqi/uv.lock @@ -4,12 +4,10 @@ requires-python = ">=3.12" resolution-markers = [ "(python_full_version >= '3.15' and sys_platform == 'linux') or (python_full_version >= '3.15' and sys_platform == 'win32')", "(python_full_version == '3.14.*' and sys_platform == 'linux') or (python_full_version == '3.14.*' and sys_platform == 'win32')", - "(python_full_version == '3.13.*' and sys_platform == 'linux') or (python_full_version == '3.13.*' and sys_platform == 'win32')", - "(python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')", + "(python_full_version < '3.14' and sys_platform == 'linux') or (python_full_version < '3.14' and sys_platform == 'win32')", "python_full_version >= '3.15' and sys_platform != 'linux' and sys_platform != 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