- 用 OR_SITE_CONFIG_JSON_FILE 统一术间配置(video_rtsp_urls + voice_or_room_bindings) - VoiceTerminalHub:assignment、WS 推送与 HTTP 查询;开录/停录后 notify - 一键联调 orchestrate-and-start 与 /client/surgeries/start 共用指派逻辑,修复 demo 路径不发 WS - 语音桌面端:SIGINT 退出、shutdown 清理、仅 WS 指派、固定 pending 轮询间隔、界面仅保留录音时长 - 新增/调整契约与绑定测试,文档与示例配置同步 Made-with: Cursor
481 lines
17 KiB
Python
481 lines
17 KiB
Python
import asyncio
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from collections.abc import Awaitable, Callable
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from typing import Annotated
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from fastapi import (
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APIRouter,
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Depends,
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File,
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HTTPException,
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Path,
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Query,
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UploadFile,
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WebSocket,
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status,
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)
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from fastapi.responses import JSONResponse
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from loguru import logger
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from sqlalchemy.exc import SQLAlchemyError
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from app.baked import pipeline as bp
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from app.config import settings
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from app.database import check_database
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from app.dependencies import get_surgery_pipeline, get_voice_terminal_hub
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from app.schemas import (
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HealthResponse,
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SurgeryApiResponse,
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SurgeryClientErrorResponse,
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SurgeryEndRequest,
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SurgeryPendingConfirmationResolveResponse,
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SurgeryPendingConfirmationResponse,
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SurgeryResultResponse,
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SurgeryStartRequest,
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VoiceTerminalAssignmentResponse,
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build_consumption_summary,
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)
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from app.services.surgery_pipeline import SurgeryPipeline
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from app.services.voice_terminal_hub import (
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VoiceTerminalHub,
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assign_voice_terminal_after_recording_started,
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)
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from app.surgery_errors import SurgeryPipelineError
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router = APIRouter()
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def _pipeline_error_detail(exc: SurgeryPipelineError, surgery_id: str) -> dict:
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d: dict = {
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"code": exc.code,
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"message": exc.message,
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"surgery_id": surgery_id,
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}
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if exc.extra:
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d.update(exc.extra)
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return d
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def _raise_surgery_pipeline_http(exc: SurgeryPipelineError, surgery_id: str) -> None:
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raise HTTPException(
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status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
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detail=_pipeline_error_detail(exc, surgery_id),
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) from exc
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def _raise_confirmation_http(exc: SurgeryPipelineError, surgery_id: str) -> None:
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status_map = {
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"CONFIRMATION_NOT_FOUND": status.HTTP_404_NOT_FOUND,
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"CONFIRMATION_NOT_ACTIVE": status.HTTP_404_NOT_FOUND,
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"CONFIRMATION_ALREADY_RESOLVED": status.HTTP_409_CONFLICT,
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"CONFIRMATION_INVALID": status.HTTP_422_UNPROCESSABLE_CONTENT,
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"VOICE_ASR_FAILED": status.HTTP_422_UNPROCESSABLE_CONTENT,
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"VOICE_PARSE_FAILED": status.HTTP_422_UNPROCESSABLE_CONTENT,
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"VOICE_TEXT_EMPTY": status.HTTP_422_UNPROCESSABLE_CONTENT,
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"TTS_TEXT_EMPTY": status.HTTP_422_UNPROCESSABLE_CONTENT,
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"TTS_ERROR": status.HTTP_503_SERVICE_UNAVAILABLE,
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"VOICE_AUDIO_INVALID": status.HTTP_422_UNPROCESSABLE_CONTENT,
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"MINIO_NOT_CONFIGURED": status.HTTP_503_SERVICE_UNAVAILABLE,
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"MINIO_UPLOAD_FAILED": status.HTTP_503_SERVICE_UNAVAILABLE,
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"BAIDU_NOT_CONFIGURED": status.HTTP_503_SERVICE_UNAVAILABLE,
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}
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st = status_map.get(exc.code, status.HTTP_500_INTERNAL_SERVER_ERROR)
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raise HTTPException(
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status_code=st,
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detail=_pipeline_error_detail(exc, surgery_id),
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) from exc
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async def _call_recording_with_retries(
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factory: Callable[[], Awaitable[None]],
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*,
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max_attempts: int,
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delay_seconds: float,
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log_prefix: str,
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) -> None:
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"""录制相关操作失败时按配置重试;全部失败后抛出最后一次错误(message 会附带重试说明)。"""
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last_exc: SurgeryPipelineError | None = None
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for attempt in range(1, max_attempts + 1):
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try:
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await factory()
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return
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except SurgeryPipelineError as exc:
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last_exc = exc
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if attempt < max_attempts:
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logger.warning(
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"{} attempt {}/{} failed ({}), retrying in {}s",
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log_prefix,
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attempt,
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max_attempts,
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exc.code,
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delay_seconds,
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)
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await asyncio.sleep(delay_seconds)
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if last_exc is None:
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return
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raise SurgeryPipelineError(
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last_exc.code,
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f"{last_exc.message}(已重试 {max_attempts} 次仍失败)",
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) from last_exc
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@router.get("/health", response_model=HealthResponse, tags=["health"])
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async def health() -> HealthResponse | JSONResponse:
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logger.debug("Health check")
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try:
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await check_database()
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except SQLAlchemyError as exc:
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logger.warning("Health check: database unavailable: {}", exc)
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return JSONResponse(
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status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
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content={"status": "degraded", "database": "unavailable"},
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)
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return HealthResponse(status="ok", database="connected")
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@router.get(
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"/internal/demo/orchestrator-status",
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tags=["demo"],
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summary="一键联调接口是否可用",
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description="供 demo 页探测:是否启用 orchestrator、RTSP 文件配置等;此路由始终存在,不依赖 DEMO_ORCHESTRATOR_ENABLED。",
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)
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async def demo_orchestrator_status() -> dict:
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f = (settings.or_site_config_json_file or "").strip()
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return {
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"orchestrator_enabled": bool(settings.demo_orchestrator_enabled),
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"orchestrate_method": "POST",
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"orchestrate_path": "/internal/demo/orchestrate-and-start",
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"or_site_config_json_file_set": bool(f),
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"or_site_config_json_file": f or None,
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"orchestrator_rtsp_port": settings.demo_orchestrator_rtsp_port,
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"orchestrator_rtsp_json_host": settings.demo_orchestrator_rtsp_json_host,
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}
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@router.post(
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"/client/surgeries/start",
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response_model=SurgeryApiResponse,
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responses={
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status.HTTP_503_SERVICE_UNAVAILABLE: {
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"description": (
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"未能在确认摄像头已开始录制后完成请求;"
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"录制子系统未就绪、开录未确认或发生故障。"
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),
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"model": SurgeryClientErrorResponse,
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},
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},
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tags=["client"],
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summary="开始手术",
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description=(
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"开始一台手术:服务端启动关联摄像头录制。"
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"仅在确认开录完成后返回 HTTP 200;否则按配置重试,仍失败则返回 503。"
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),
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)
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async def start_surgery(
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payload: SurgeryStartRequest,
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pipeline: Annotated[SurgeryPipeline, Depends(get_surgery_pipeline)],
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voice_hub: Annotated[VoiceTerminalHub, Depends(get_voice_terminal_hub)],
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) -> SurgeryApiResponse:
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logger.info(
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"Start surgery: surgery_id={}, cameras={}, candidates={}",
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payload.surgery_id,
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payload.camera_ids,
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payload.candidate_consumables,
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)
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try:
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async def _start() -> None:
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await pipeline.start_recording(
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payload.surgery_id,
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payload.camera_ids,
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payload.candidate_consumables,
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)
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await _call_recording_with_retries(
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_start,
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max_attempts=bp.SURGERY_RECORDING_MAX_ATTEMPTS,
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delay_seconds=bp.SURGERY_RECORDING_RETRY_DELAY_SECONDS,
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log_prefix=f"Start surgery {payload.surgery_id}",
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)
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except SurgeryPipelineError as exc:
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_raise_surgery_pipeline_http(exc, payload.surgery_id)
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await assign_voice_terminal_after_recording_started(
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voice_hub,
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surgery_id=payload.surgery_id,
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camera_ids=list(payload.camera_ids),
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set_voice_terminal_id=pipeline.set_voice_terminal_id,
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)
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return SurgeryApiResponse(
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surgery_id=payload.surgery_id,
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status="accepted",
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message="摄像头录制已开始,手术已启动。",
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)
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@router.post(
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"/client/surgeries/end",
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response_model=SurgeryApiResponse,
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responses={
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status.HTTP_503_SERVICE_UNAVAILABLE: {
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"description": (
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"未能在确认摄像头已全部停止录制后完成请求;"
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"停录未确认、录制子系统未就绪或发生故障。"
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),
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"model": SurgeryClientErrorResponse,
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},
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},
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tags=["client"],
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summary="结束手术",
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description=(
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"结束一台手术:服务端停止关联摄像头录制。"
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"仅在确认停录完成后返回 HTTP 200;否则按配置重试,仍失败则返回 503。"
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),
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)
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async def end_surgery(
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payload: SurgeryEndRequest,
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pipeline: Annotated[SurgeryPipeline, Depends(get_surgery_pipeline)],
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voice_hub: Annotated[VoiceTerminalHub, Depends(get_voice_terminal_hub)],
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) -> SurgeryApiResponse:
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logger.info("End surgery: surgery_id={}", payload.surgery_id)
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voice_terminal_id: str | None = None
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try:
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async def _stop() -> None:
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nonlocal voice_terminal_id
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voice_terminal_id = await pipeline.stop_recording(payload.surgery_id)
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await _call_recording_with_retries(
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_stop,
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max_attempts=bp.SURGERY_RECORDING_MAX_ATTEMPTS,
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delay_seconds=bp.SURGERY_RECORDING_RETRY_DELAY_SECONDS,
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log_prefix=f"End surgery {payload.surgery_id}",
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)
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except SurgeryPipelineError as exc:
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_raise_surgery_pipeline_http(exc, payload.surgery_id)
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if voice_terminal_id:
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await voice_hub.notify_end(voice_terminal_id, payload.surgery_id)
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return SurgeryApiResponse(
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surgery_id=payload.surgery_id,
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status="accepted",
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message="摄像头录制已停止,手术已结束。",
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)
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@router.get(
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"/client/voice-terminals/{terminal_id}/assignment",
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response_model=VoiceTerminalAssignmentResponse,
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tags=["client"],
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summary="查询语音终端当前指派的手术",
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description="供桌面客户端在 WebSocket 不可用时的轮询兜底;与 WS 推送的 assignment 状态一致。",
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)
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async def get_voice_terminal_assignment(
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terminal_id: Annotated[str, Path(min_length=1, max_length=256)],
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hub: Annotated[VoiceTerminalHub, Depends(get_voice_terminal_hub)],
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) -> VoiceTerminalAssignmentResponse:
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tid = terminal_id.strip()
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return VoiceTerminalAssignmentResponse(
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voice_terminal_id=tid,
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active_surgery_id=hub.get_assignment(tid),
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)
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@router.websocket("/client/voice-terminals/ws")
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async def voice_terminal_websocket(
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websocket: WebSocket,
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terminal_id: Annotated[str, Query(..., min_length=1, max_length=256)],
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) -> None:
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container = websocket.app.state.container
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await container.voice_terminal_hub.handle_websocket(websocket, terminal_id)
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@router.get(
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"/client/surgeries/{surgery_id}/result",
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response_model=SurgeryResultResponse,
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responses={
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status.HTTP_503_SERVICE_UNAVAILABLE: {
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"description": (
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"结果尚不可查询:无至少一条消耗明细,或手术未开始、未开录成功、尚无可查归档等。"
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),
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"model": SurgeryClientErrorResponse,
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},
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},
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tags=["client"],
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summary="查询手术结果",
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description=(
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"根据手术 6 位号查询该台手术的耗材消耗明细(多行)及按物品汇总。"
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"手术进行中返回当前内存已记账结果;结束后返回数据库持久化结果。"
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"若无至少一条消耗明细(含已归档但明细为空)、手术从未开始或尚无可查归档,返回 503。"
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"使用 GET:只读、幂等。\n\n"
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"响应体 `details` 与 `summary` 的字段定义见模式 SurgeryConsumptionDetail / SurgeryConsumptionSummary;"
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"若服务端启用耗材 TSV 文本日志,文件明细列为 tab 分隔的 "
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"item_id、item_name、qty、doctor_id、timestamp(文末另有仅三列的汇总块 item_id、item_name、qty),"
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"与 HTTP JSON 字段一致。"
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),
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)
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async def get_surgery_result(
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surgery_id: Annotated[
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str,
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Path(
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min_length=6,
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max_length=6,
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pattern=r"^\d{6}$",
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description="手术 6 位号,仅允许 6 位数字。",
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),
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],
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pipeline: Annotated[SurgeryPipeline, Depends(get_surgery_pipeline)],
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) -> SurgeryResultResponse:
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logger.info("Query surgery result: surgery_id={}", surgery_id)
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details = await pipeline.get_consumption_details_for_client(surgery_id)
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if not details:
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raise HTTPException(
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status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
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detail={
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"code": "RESULT_NOT_READY",
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"message": (
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"当前无该手术的可查询结果:手术未开始、未成功开录、尚无至少一条消耗明细,"
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"或尚无可返回的数据。"
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),
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"surgery_id": surgery_id,
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},
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)
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return SurgeryResultResponse(
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surgery_id=surgery_id,
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status="completed",
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message="查询成功。",
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details=details,
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summary=build_consumption_summary(details),
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)
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@router.get(
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"/client/surgeries/{surgery_id}/pending-confirmation",
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response_model=SurgeryPendingConfirmationResponse,
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responses={
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status.HTTP_404_NOT_FOUND: {
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"description": "当前无待确认项或手术未在进行。",
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"model": SurgeryClientErrorResponse,
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},
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status.HTTP_422_UNPROCESSABLE_CONTENT: {
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"description": "提示文本为空等导致无法合成播报。",
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"model": SurgeryClientErrorResponse,
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},
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status.HTTP_503_SERVICE_UNAVAILABLE: {
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"description": "百度语音未配置或 TTS 调用失败。",
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"model": SurgeryClientErrorResponse,
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},
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},
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tags=["client"],
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summary="拉取待确认耗材(含 TTS 音频)",
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description=(
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"返回当前 FIFO 队首的一条低置信度识别;"
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"响应内 `prompt_audio_mp3_base64` 为与 `prompt_text` 一致的 MP3(Base64),客户端可直接解码播放。"
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"无待确认项时返回 404;提示文本为空为 422;未配置百度或 TTS 失败为 503(不返回空音频兜底)。"
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"医生确认后请使用 `POST .../resolve` 上传 WAV。"
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),
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)
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async def get_pending_consumable_confirmation(
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surgery_id: Annotated[
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str,
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Path(
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min_length=6,
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max_length=6,
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pattern=r"^\d{6}$",
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description="手术 6 位号,仅允许 6 位数字。",
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),
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],
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pipeline: Annotated[SurgeryPipeline, Depends(get_surgery_pipeline)],
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) -> SurgeryPendingConfirmationResponse:
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try:
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payload = await pipeline.get_pending_confirmation_for_client(surgery_id)
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except SurgeryPipelineError as exc:
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_raise_confirmation_http(exc, surgery_id)
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if payload is None:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail={
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"code": "NO_PENDING_CONFIRMATION",
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"message": "当前无待确认的耗材识别,或手术未在进行。",
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"surgery_id": surgery_id,
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},
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)
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return payload
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@router.post(
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"/client/surgeries/{surgery_id}/pending-confirmation/{confirmation_id}/resolve",
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response_model=SurgeryPendingConfirmationResolveResponse,
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responses={
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status.HTTP_404_NOT_FOUND: {"model": SurgeryClientErrorResponse},
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status.HTTP_409_CONFLICT: {"model": SurgeryClientErrorResponse},
|
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status.HTTP_422_UNPROCESSABLE_CONTENT: {"model": SurgeryClientErrorResponse},
|
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status.HTTP_503_SERVICE_UNAVAILABLE: {"model": SurgeryClientErrorResponse},
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},
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tags=["client"],
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summary="提交耗材确认结果(上传医生语音 WAV)",
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description=(
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"multipart/form-data 上传单个 WAV 文件(字段名 `audio`)。"
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"服务端将音频存入 MinIO、调用百度 ASR 识别、解析候选项并完成确认。"
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"解析并确认后记一条消耗明细;若语音表示否认全部候选则不记消耗。"
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),
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)
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async def resolve_pending_consumable_confirmation(
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surgery_id: Annotated[
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str,
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Path(
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min_length=6,
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max_length=6,
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pattern=r"^\d{6}$",
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description="手术 6 位号,仅允许 6 位数字。",
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),
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],
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confirmation_id: Annotated[str, Path(min_length=1, max_length=128)],
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audio: Annotated[
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UploadFile,
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File(
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...,
|
||
description="医生语音 WAV 文件(建议 16kHz 单声道 PCM,其他格式将尝试 ffmpeg 转码)",
|
||
),
|
||
],
|
||
pipeline: Annotated[SurgeryPipeline, Depends(get_surgery_pipeline)],
|
||
) -> SurgeryPendingConfirmationResolveResponse:
|
||
raw = await audio.read()
|
||
if not raw:
|
||
raise HTTPException(
|
||
status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
|
||
detail={
|
||
"code": "VOICE_AUDIO_INVALID",
|
||
"message": "音频文件为空。",
|
||
"surgery_id": surgery_id,
|
||
},
|
||
)
|
||
filename = (audio.filename or "voice.wav").strip()
|
||
if not filename.lower().endswith(".wav"):
|
||
raise HTTPException(
|
||
status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
|
||
detail={
|
||
"code": "VOICE_AUDIO_INVALID",
|
||
"message": "仅支持上传 .wav 文件。",
|
||
"surgery_id": surgery_id,
|
||
},
|
||
)
|
||
try:
|
||
result = await pipeline.resolve_pending_confirmation_from_audio(
|
||
surgery_id=surgery_id,
|
||
confirmation_id=confirmation_id,
|
||
wav_bytes=raw,
|
||
filename=filename,
|
||
content_type=audio.content_type,
|
||
)
|
||
except SurgeryPipelineError as exc:
|
||
_raise_confirmation_http(exc, surgery_id)
|
||
return SurgeryPendingConfirmationResolveResponse(
|
||
surgery_id=surgery_id,
|
||
confirmation_id=confirmation_id,
|
||
status="accepted",
|
||
message=result.message,
|
||
resolved_label=result.resolved_label,
|
||
rejected=result.rejected,
|
||
asr_text=result.asr_text,
|
||
audio_object_key=result.audio_object_key,
|
||
)
|