132702aea9
- 以 ConsumableVisionAlgorithmService 替代 consumable_classifier 与 tear_action； 可选手部检测权重，未配置时全帧分类；时间窗众数与 Excel 白名单配置。 - 语音待确认：ASR 先匹配 pending topk，再匹配本台 candidate_consumables； 记账 item_id 与 vision 一致使用 name_to_code。 - 更新 config、Compose、.env.example、依赖（pandas/openpyxl）与测试。 Made-with: Cursor
105 lines
5.5 KiB
Plaintext
105 lines
5.5 KiB
Plaintext
# Copy to `.env` and adjust. Loaded by pydantic-settings (field names → UPPER_SNAKE_CASE env vars).
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# Used by local `start.sh` and Docker Compose. See also docs/video-backends.md.
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# --- PostgreSQL ---
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POSTGRES_USER=postgres
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POSTGRES_PASSWORD=postgres
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POSTGRES_DB=operation_room
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POSTGRES_HOST=localhost
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POSTGRES_PORT=35432
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# Optional: full async SQLAlchemy URL (overrides POSTGRES_* when set and matches defaults logic — see Settings).
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# DATABASE_URL=postgresql+asyncpg://postgres:postgres@localhost:35432/operation_room
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# --- YOLO 视觉推理（内部调用，无独立 HTTP）---
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# 耗材分类权重默认 app/resources/consumable_classifier.pt；手部检测为空时退化为全帧分类。
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# CONSUMABLE_CLASSIFIER_WEIGHTS=/absolute/path/to/consumable_classifier.pt
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CONSUMABLE_CLASSIFIER_IMGSZ=224
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CONSUMABLE_CLASSIFIER_DEVICE=
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# 视觉待确认 options 最多为模型 top3 与 candidate_consumables 的交集（非本变量）。
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CONSUMABLE_CLASSIFIER_TOPK=5
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# CONSUMABLE_MIN_CLS_CONFIDENCE=0.5
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# 时间窗（秒）：窗内多次推理取众数后再走自动记账 / 待确认。
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# CONSUMABLE_VISION_WINDOW_SEC=15
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# 可选：Excel「商品名称」「产品编码」表；空则物品 id 用名称。
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# CONSUMABLE_CATALOG_XLSX_PATH=/path/to/视频中的商品信息表.xlsx
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# HAND_DETECTION_WEIGHTS=/absolute/path/to/hand_detect.pt
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# HAND_DETECTION_IMGSZ=640
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# HAND_DETECTION_CONF=0.25
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# HAND_DETECTION_PAD_RATIO=0.30
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# HAND_DETECTION_MIN_CROP_PX=64
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# HAND_DETECTION_DEVICE=
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# Device: empty → auto (macOS MPS if available; Linux CUDA if available). Docker image uses CPU torch unless you change it.
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# --- Surgery recording API retries ---
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# SURGERY_RECORDING_MAX_ATTEMPTS=3
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# SURGERY_RECORDING_RETRY_DELAY_SECONDS=1.0
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# --- Video: RTSP + optional Hikvision HCNetSDK (Linux x86_64 + glibc recommended) ---
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# Client `camera_ids` must match keys in your RTSP map (sample IDs: or-cam-01, or-cam-02).
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#
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# VIDEO_DEFAULT_BACKEND=rtsp
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# Values: rtsp | hikvision_sdk | auto (auto: SDK .so loaded and HIKVISION_SDK_ENABLED=true → prefer SDK)
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#
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# Per-camera backend override (JSON object):
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# VIDEO_CAMERA_BACKEND_OVERRIDES_JSON={"or-cam-01":"rtsp","or-cam-02":"hikvision_sdk"}
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#
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# RTSP URL resolution (first match wins per camera_id):
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# 1) VIDEO_RTSP_URLS_JSON_FILE — JSON file: {"or-cam-01":"rtsp://...","or-cam-02":"rtsp://..."}
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# 2) merged with VIDEO_RTSP_URLS_JSON (inline JSON string; overrides same keys from file)
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# 3) else VIDEO_RTSP_URL_TEMPLATE with {camera_id}
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# Example file (committed): app/resources/camera_rtsp_urls.sample.json
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# VIDEO_RTSP_URLS_JSON_FILE=app/resources/camera_rtsp_urls.sample.json
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# In Docker (WORKDIR /app): VIDEO_RTSP_URLS_JSON_FILE=/app/app/resources/camera_rtsp_urls.sample.json
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# WARNING: if VIDEO_RTSP_URLS_JSON_FILE is set but the path is missing, the app will fail to start.
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#
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# VIDEO_RTSP_URL_TEMPLATE=rtsp://user:pass@192.168.1.64:554/Streaming/Channels/101
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# VIDEO_RTSP_URLS_JSON={"or-cam-01":"rtsp://user:pass@192.168.1.101:554/Streaming/Channels/101","or-cam-02":"rtsp://user:pass@192.168.1.102:554/Streaming/Channels/101"}
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#
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# VIDEO_OPEN_TIMEOUT_SEC=15
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# 连续读帧失败次数达到阈值后释放 RTSP 并重连。
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# VIDEO_READ_FAILURE_RECONNECT_THRESHOLD=15
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# VIDEO_RECONNECT_BACKOFF_SECONDS=1.0
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# VIDEO_INFERENCE_INTERVAL_SEC=2
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# VIDEO_INFERENCE_CONFIDENCE_THRESHOLD=0.35
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# 置信度 >= 此值且命中候选清单时自动 vision 记账。提高到 0.9 可减少自动记账、更多走待确认。
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# VIDEO_AUTO_CONFIRM_CONFIDENCE=0.55
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# 置信度处于 [VIDEO_VOICE_CONFIRM_MIN_CONFIDENCE, VIDEO_AUTO_CONFIRM_CONFIDENCE) 时入队待确认（客户端拉取 pending-confirmation）。
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# VIDEO_VOICE_CONFIRM_MIN_CONFIDENCE=0.35
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# 待确认话术由服务端生成（prompt_text），TTS 一般在客户端播放；医生 WAV 上传后服务端 ASR 解析。
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# 解析顺序：① pending 里展示的 topk（序号/名称）；② 仍不匹配时，对「开始手术」请求体中的 candidate_consumables 全文做名称子串匹配——医生报清单内其它耗材也以医生为准入账。
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# 是否启用低置信度人工确认（客户端播报 + resolve 回传；服务端无麦克风/扬声器要求）。
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# VOICE_CONFIRMATION_ENABLED=true
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# VIDEO_VOICE_CONFIRM_DOCTOR_ID=voice
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# （已弃用）服务端本机录音 / ffmpeg 音频输入；当前闭环不依赖。
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# VOICE_RECORD_SECONDS=5
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# VOICE_FFMPEG_INPUT=
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# 停录后写库失败时，后台重试落库间隔（秒）。
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# ARCHIVE_PERSIST_RETRY_INTERVAL_SECONDS=30
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# VIDEO_DETAIL_COOLDOWN_SEC=15
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# VIDEO_JPEG_QUALITY=85
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# VIDEO_RESULT_DOCTOR_ID=vision
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# --- Hikvision: mount vendor Linux x86_64 .so at runtime (do not commit proprietary binaries) ---
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# HIKVISION_LIB_DIR=/opt/hikvision/lib
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# Optional: single library path (overrides directory search in code)
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# HIKVISION_LIB_PATH=
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# HIKVISION_SDK_ENABLED=false
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# HIKVISION_DEVICE_IP=
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# HIKVISION_DEVICE_PORT=8000
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# HIKVISION_USER=
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# HIKVISION_PASSWORD=
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# HIKVISION_CHANNEL=1
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# After SDK login, OpenCV still pulls frames via RTSP; template placeholders: {ip} {user} {password} {channel} {camera_id}
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# HIKVISION_PREVIEW_RTSP_TEMPLATE=rtsp://{user}:{password}@{ip}:554/Streaming/Channels/101
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# Per-camera RTSP when using SDK path (same shape as VIDEO_RTSP_URLS_JSON):
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# HIKVISION_CAMERA_RTSP_URLS_JSON={"or-cam-01":"rtsp://...","or-cam-02":"rtsp://..."}
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# HIKVISION_SDK_FALLBACK_TO_RTSP=true
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# --- Baidu Speech（可选，遗留；当前手术闭环由客户端完成 TTS/ASR，服务端可不配置）---
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# BAIDU_SPEECH_APP_ID=
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# BAIDU_SPEECH_API_KEY=
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# BAIDU_SPEECH_SECRET_KEY=
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# BAIDU_SPEECH_CONNECTION_TIMEOUT_MS=
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# BAIDU_SPEECH_SOCKET_TIMEOUT_MS=
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