69980d8073
- Refactor app API and schemas; adjust surgery pipeline, repository, and session manager. - Improve consumption TSV logging and consumable vision integration; trim voice resolution. - Add Baidu Face 1:N search script, .env.example entries, and client API integration doc. - Update demo client, staging checklist, surgery interface doc, and related tests; add sample face image. Made-with: Cursor
73 lines
2.4 KiB
Python
73 lines
2.4 KiB
Python
from __future__ import annotations
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from datetime import datetime, timezone
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from sqlalchemy import delete, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.db.models import SurgeryFinalResult, SurgeryResultDetailRow
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from app.schemas import SurgeryConsumptionDetail, SurgeryConsumptionStored
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class SurgeryResultRepository:
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"""持久化 / 读取手术结束后的最终结果（仅客户端返回结构）。"""
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async def save_final_result(
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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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details: list[SurgeryConsumptionStored],
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completed_at: datetime | None = None,
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) -> None:
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when = completed_at or datetime.now(timezone.utc)
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await session.execute(
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delete(SurgeryResultDetailRow).where(
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SurgeryResultDetailRow.surgery_id == surgery_id
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)
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)
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await session.execute(
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delete(SurgeryFinalResult).where(SurgeryFinalResult.surgery_id == surgery_id)
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)
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row = SurgeryFinalResult(surgery_id=surgery_id, completed_at=when)
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session.add(row)
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for d in details:
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session.add(
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SurgeryResultDetailRow(
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surgery_id=surgery_id,
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item_id=d.item_id,
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item_name=d.item_name,
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quantity=d.qty,
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doctor_id=d.doctor_id,
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recorded_at=d.timestamp,
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source=d.source,
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)
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)
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await session.flush()
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async def load_final_details(
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self, session: AsyncSession, surgery_id: str
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) -> list[SurgeryConsumptionDetail] | None:
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res = await session.execute(
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select(SurgeryFinalResult).where(SurgeryFinalResult.surgery_id == surgery_id)
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)
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meta = res.scalar_one_or_none()
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if meta is None:
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return None
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q = await session.execute(
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select(SurgeryResultDetailRow)
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.where(SurgeryResultDetailRow.surgery_id == surgery_id)
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.order_by(SurgeryResultDetailRow.id)
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)
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rows = q.scalars().all()
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return [
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SurgeryConsumptionDetail(
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item_id=r.item_id,
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item_name=r.item_name,
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qty=r.quantity,
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doctor_id=r.doctor_id,
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timestamp=r.recorded_at,
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)
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for r in rows
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]
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