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

app/repositories/surgery_results.py

@@ -0,0 +1,73 @@
+from __future__ import annotations
+
+from datetime import datetime, timezone
+
+from sqlalchemy import delete, select
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.db.models import SurgeryFinalResult, SurgeryResultDetailRow
+from app.schemas import SurgeryConsumptionDetail
+
+
+class SurgeryResultRepository:
+    """持久化 / 读取手术结束后的最终结果（仅客户端返回结构）。"""
+
+    async def save_final_result(
+        self,
+        session: AsyncSession,
+        *,
+        surgery_id: str,
+        details: list[SurgeryConsumptionDetail],
+        completed_at: datetime | None = None,
+    ) -> None:
+        when = completed_at or datetime.now(timezone.utc)
+        await session.execute(
+            delete(SurgeryResultDetailRow).where(
+                SurgeryResultDetailRow.surgery_id == surgery_id
+            )
+        )
+        await session.execute(
+            delete(SurgeryFinalResult).where(SurgeryFinalResult.surgery_id == surgery_id)
+        )
+        row = SurgeryFinalResult(surgery_id=surgery_id, completed_at=when)
+        session.add(row)
+        for d in details:
+            session.add(
+                SurgeryResultDetailRow(
+                    surgery_id=surgery_id,
+                    item_id=d.item_id,
+                    item_name=d.item_name,
+                    quantity=d.quantity,
+                    doctor_id=d.doctor_id,
+                    recorded_at=d.timestamp,
+                    source=d.source,
+                )
+            )
+        await session.flush()
+
+    async def load_final_details(
+        self, session: AsyncSession, surgery_id: str
+    ) -> list[SurgeryConsumptionDetail] | None:
+        res = await session.execute(
+            select(SurgeryFinalResult).where(SurgeryFinalResult.surgery_id == surgery_id)
+        )
+        meta = res.scalar_one_or_none()
+        if meta is None:
+            return None
+        q = await session.execute(
+            select(SurgeryResultDetailRow)
+            .where(SurgeryResultDetailRow.surgery_id == surgery_id)
+            .order_by(SurgeryResultDetailRow.id)
+        )
+        rows = q.scalars().all()
+        return [
+            SurgeryConsumptionDetail(
+                item_id=r.item_id,
+                item_name=r.item_name,
+                quantity=r.quantity,
+                doctor_id=r.doctor_id,
+                timestamp=r.recorded_at,
+                source=r.source,
+            )
+            for r in rows
+        ]