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
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@@ -1,4 +1,10 @@
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# Local development: PostgreSQL only. Run the API on the host with ./start.sh or `uv run`.
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# Local development stack. You can either:
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# 1. run `docker compose -f docker-compose.dev.yml up --build` for API + DB in containers, or
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# 2. run `./start.sh` to start only DB and keep the API on the host with hot reload.
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#
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# Default host ports avoid common 5432/8000 clashes when many services run in parallel:
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# Postgres published: POSTGRES_PORT -> 35432 (container still listens on 5432)
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# API published: API_PORT -> 38080 (uvicorn inside container still listens on 8000)
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services:
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db:
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image: postgres:16-alpine
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@@ -7,7 +13,7 @@ services:
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
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POSTGRES_DB: ${POSTGRES_DB:-operation_room}
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ports:
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- "${POSTGRES_PORT:-5432}:5432"
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- "${POSTGRES_PORT:-35432}:5432"
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volumes:
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- pgdata_dev:/var/lib/postgresql/data
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healthcheck:
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@@ -17,5 +23,54 @@ services:
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retries: 20
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start_period: 5s
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api:
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build:
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context: .
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dockerfile: Dockerfile
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environment:
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POSTGRES_USER: ${POSTGRES_USER:-postgres}
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
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POSTGRES_DB: ${POSTGRES_DB:-operation_room}
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POSTGRES_HOST: db
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POSTGRES_PORT: 5432
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CONSUMABLE_CLASSIFIER_IMGSZ: ${CONSUMABLE_CLASSIFIER_IMGSZ:-224}
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CONSUMABLE_CLASSIFIER_DEVICE: ${CONSUMABLE_CLASSIFIER_DEVICE:-}
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CONSUMABLE_CLASSIFIER_TOPK: ${CONSUMABLE_CLASSIFIER_TOPK:-5}
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TEAR_ACTION_IMGSZ: ${TEAR_ACTION_IMGSZ:-224}
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TEAR_ACTION_DEVICE: ${TEAR_ACTION_DEVICE:-}
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TEAR_ACTION_TOPK: ${TEAR_ACTION_TOPK:-5}
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VIDEO_DEFAULT_BACKEND: ${VIDEO_DEFAULT_BACKEND:-rtsp}
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VIDEO_RTSP_URL_TEMPLATE: ${VIDEO_RTSP_URL_TEMPLATE:-}
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VIDEO_RTSP_URLS_JSON_FILE: ${VIDEO_RTSP_URLS_JSON_FILE:-}
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VIDEO_RTSP_URLS_JSON: ${VIDEO_RTSP_URLS_JSON:-}
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VIDEO_CAMERA_BACKEND_OVERRIDES_JSON: ${VIDEO_CAMERA_BACKEND_OVERRIDES_JSON:-}
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HIKVISION_SDK_ENABLED: ${HIKVISION_SDK_ENABLED:-false}
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HIKVISION_LIB_DIR: ${HIKVISION_LIB_DIR:-/opt/hikvision/lib}
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HIKVISION_DEVICE_IP: ${HIKVISION_DEVICE_IP:-}
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HIKVISION_USER: ${HIKVISION_USER:-}
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HIKVISION_PASSWORD: ${HIKVISION_PASSWORD:-}
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HIKVISION_PREVIEW_RTSP_TEMPLATE: ${HIKVISION_PREVIEW_RTSP_TEMPLATE:-}
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ports:
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- "${API_PORT:-38080}:8000"
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command: ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]
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volumes:
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- ./app:/app/app
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- ./main.py:/app/main.py
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depends_on:
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db:
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condition: service_healthy
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healthcheck:
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test:
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[
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"CMD",
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"python",
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"-c",
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"import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=2)",
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]
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interval: 10s
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timeout: 5s
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retries: 5
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start_period: 10s
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volumes:
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pgdata_dev:
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