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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46
app/repositories/voice_audits.py
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46
app/repositories/voice_audits.py
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from __future__ import annotations
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from datetime import datetime, timezone
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.db.models import VoiceConfirmationAudit
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class VoiceAuditRepository:
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"""Persist voice confirmation audit rows."""
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async def save_audit(
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self,
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session: AsyncSession,
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*,
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surgery_id: str,
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confirmation_id: str,
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status: str,
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audio_object_key: str | None,
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audio_content_type: str | None,
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audio_size_bytes: int | None,
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audio_sha256: str | None,
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asr_text: str | None,
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resolved_label: str | None,
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options_snapshot_json: str | None,
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error_message: str | None,
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created_at: datetime | None = None,
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) -> None:
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when = created_at or datetime.now(timezone.utc)
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row = VoiceConfirmationAudit(
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surgery_id=surgery_id,
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confirmation_id=confirmation_id,
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status=status,
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audio_object_key=audio_object_key,
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audio_content_type=audio_content_type,
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audio_size_bytes=audio_size_bytes,
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audio_sha256=audio_sha256,
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asr_text=asr_text,
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resolved_label=resolved_label,
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options_snapshot_json=options_snapshot_json,
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error_message=error_message,
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created_at=when,
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)
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session.add(row)
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await session.flush()
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