70431ca3f9
算法子进程目录仅保留源码与配置；权重、样本 I/O、构建产物通过 .gitignore 离线交付。 Co-authored-by: Cursor <cursoragent@cursor.com>
123 lines
3.2 KiB
TOML
123 lines
3.2 KiB
TOML
[build-system]
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requires = ["hatchling>=1.27.0"]
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build-backend = "hatchling.build"
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[project]
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name = "operation-room-monitor-server"
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version = "0.1.0"
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description = "Operation room monitor API server"
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requires-python = ">=3.13"
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dependencies = [
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"alembic>=1.14.0",
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"asyncpg>=0.31.0",
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"psycopg[binary]>=3.2.0",
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"greenlet>=3.1.0",
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"minio>=7.2.15",
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"baidu-aip>=4.16.13",
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"chardet>=7.4.3",
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"fastapi>=0.136.0",
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"loguru>=0.7.3",
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"pillow>=12.2.0",
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"pydantic-settings>=2.13.1",
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"python-multipart>=0.0.26",
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"sqlalchemy>=2.0.49",
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# 视觉推理栈由 uv 安装；Linux/Windows 走 cu130 官方索引，macOS 走 CPU 索引（无 CUDA wheel）。
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"torch>=2.6.0",
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"torchvision>=0.21.0",
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"torchaudio>=2.6.0",
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"ultralytics>=8.3.0",
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"numpy>=2.0.0",
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"opencv-python>=4.10.0",
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"uvicorn[standard]>=0.44.0",
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"rich>=15.0.0",
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"pyyaml>=6.0.3",
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"scipy>=1.14.0",
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"pandas>=2.2.0",
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"openpyxl>=3.1.0",
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# algorithm_subprocesses/5-6-code ActionFormer eval.py 导入 libs.datasets → anet.py 需要 h5py
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"h5py>=3.13.0",
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# algorithm_subprocesses actionformer libs/utils/metrics.py（随 datasets 链路导入）
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"joblib>=1.4.2",
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"mediapipe>=0.10.35",
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]
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[project.scripts]
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operation-room-monitor-server = "main:main"
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# 默认 PyPI：清华 simple；PyTorch 使用官方 wheel 索引（可按需改为国内镜像，如阿里云 pytorch-wheels）。
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[tool.uv]
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package = true
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index-strategy = "unsafe-best-match"
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[[tool.uv.index]]
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name = "pypi-cn"
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url = "https://uv.agentsmirror.com/pypi/simple"
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default = true
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[[tool.uv.index]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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explicit = true
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[[tool.uv.index]]
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name = "pytorch-cu130"
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url = "https://download.pytorch.org/whl/cu130"
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explicit = true
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[tool.uv.sources]
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torch = [
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{ index = "pytorch-cpu", marker = "sys_platform == 'darwin'" },
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{ index = "pytorch-cu130", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
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]
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torchvision = [
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{ index = "pytorch-cpu", marker = "sys_platform == 'darwin'" },
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{ index = "pytorch-cu130", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
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]
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torchaudio = [
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{ index = "pytorch-cpu", marker = "sys_platform == 'darwin'" },
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{ index = "pytorch-cu130", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
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]
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[tool.hatch.build.targets.wheel]
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packages = ["app"]
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[tool.hatch.build.targets.wheel.force-include]
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"main.py" = "main.py"
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[dependency-groups]
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dev = [
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"httpx>=0.28.0",
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"pytest>=8.3.0",
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"pytest-asyncio>=0.25.0",
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"aiosqlite>=0.21.0",
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"livereload>=2.7.1",
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"ruff>=0.15.12",
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"mypy>=1.20.2",
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"types-pyyaml>=6.0.12.20260408",
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]
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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testpaths = ["tests"]
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[tool.ruff]
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target-version = "py313"
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line-length = 120
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[tool.ruff.lint]
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# 先覆盖错误与未使用符号；避免 I/UP 等对全仓库做大规模风格改写
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select = ["E4", "E7", "E9", "F"]
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ignore = ["E501"]
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[tool.ruff.lint.per-file-ignores]
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"tests/test_probs_numpy_device.py" = ["E402"]
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[tool.mypy]
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python_version = "3.13"
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files = ["app", "main.py"]
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ignore_missing_imports = true
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warn_unused_ignores = true
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show_error_codes = true
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check_untyped_defs = true
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no_implicit_optional = true
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