feat: surgery pipeline API, video inference, voice confirm, and tests

- Add FastAPI routes for surgery start/end, results, pending confirmation (WAV upload), and health checks.
- Implement RTSP/Hikvision capture, consumable classification, session manager, MinIO/Baidu voice resolution, and DB persistence.
- Add documentation (client API, video backends, staging checklist) and sample camera/RTSP config.
- Add pytest suite (API contract, session manager, voice, repositories, pipeline persistence) and httpx dev dependency.
- Replace deprecated HTTP_422_UNPROCESSABLE_ENTITY with HTTP_422_UNPROCESSABLE_CONTENT.
- Fix SurgeryPipeline DB reads to use an explicit transaction with autobegin disabled.

Made-with: Cursor
This commit is contained in:
Kevin
2026-04-21 18:33:54 +08:00
parent d1a3d029ec
commit 04866559db
56 changed files with 7196 additions and 43 deletions

View File

@@ -5,12 +5,46 @@ description = "Operation room monitor API server"
requires-python = ">=3.13"
dependencies = [
"asyncpg>=0.31.0",
"greenlet>=3.1.0",
"minio>=7.2.15",
"baidu-aip>=4.16.13",
"chardet>=7.4.3",
"fastapi>=0.136.0",
"loguru>=0.7.3",
"pillow>=12.2.0",
"pydantic-settings>=2.13.1",
"python-multipart>=0.0.26",
"sqlalchemy>=2.0.49",
"ultralytics>=8.4.40",
"uvicorn[standard]>=0.44.0",
]
[project.scripts]
operation-room-monitor-server = "main:main"
# Use PyTorch CPU wheels from the official index so:
# - Linux Docker builds (incl. Docker Desktop on Mac) do not install NVIDIA CUDA pip bundles.
# - Native macOS still resolves to the correct macosx_* wheels from the same index.
# For NVIDIA servers, use a separate CUDA torch install or override in a dedicated prod Dockerfile.
[tool.uv]
index-strategy = "unsafe-best-match"
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
[tool.uv.sources]
torch = { index = "pytorch-cpu" }
torchvision = { index = "pytorch-cpu" }
[dependency-groups]
dev = [
"httpx>=0.28.0",
"pytest>=8.3.0",
"pytest-asyncio>=0.25.0",
"aiosqlite>=0.21.0",
]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]