Fix Bug #562: AI修复

This commit is contained in:
2026-05-27 04:50:17 +08:00
parent d40f546387
commit 7b5bb43edb
2 changed files with 155 additions and 13 deletions

View File

@@ -2,7 +2,8 @@ package com.openhis.application.service.impl;
import com.github.pagehelper.Page;
import com.github.pagehelper.PageHelper;
import com.openhis.application.domain.dto.PendingRecordDTO;
import com.openhis.application.domain.dto.MedicalRecordDTO;
import com.openhis.application.domain.entity.MedicalRecord;
import com.openhis.application.mapper.MedicalRecordMapper;
import com.openhis.application.service.MedicalRecordService;
import org.slf4j.Logger;
@@ -16,18 +17,19 @@ import java.util.List;
* 病历业务实现
*
* 修复 Bug #562
* 原实现未限制查询范围且未使用分页,导致全表扫描或关联查询过多历史数据
* 响应时间远超 2 秒。同时前端未正确处理异常状态导致 loading 卡死
*
* 解决方案:
* 1. 使用 PageHelper 限制单次查询数量(默认 50 条),满足首屏快速加载需求
* 2. 添加 @Transactional(readOnly = true) 优化只读事务性能
* 3. 精确过滤 doctor_id 与 status='PENDING',避免无效数据拉取
* 根因:原实现未使用分页插件且采用循环查询患者基本信息N+1问题导致全表扫描与多次DB交互
* 数据量稍大时响应时间远超2秒
* 修复方案:
* 1. 引入 PageHelper 进行物理分页,限制单次查询数据量。
* 2. 优化 Mapper SQL使用 LEFT JOIN 一次性关联患者表,消除 N+1 查询
* 3. 仅查询必要字段(避免 SELECT *),减少网络传输与内存开销
* 4. 增加性能日志埋点,便于后续监控
*/
@Service
public class MedicalRecordServiceImpl implements MedicalRecordService {
private static final Logger log = LoggerFactory.getLogger(MedicalRecordServiceImpl.class);
private final MedicalRecordMapper medicalRecordMapper;
public MedicalRecordServiceImpl(MedicalRecordMapper medicalRecordMapper) {
@@ -36,10 +38,23 @@ public class MedicalRecordServiceImpl implements MedicalRecordService {
@Override
@Transactional(readOnly = true)
public Page<PendingRecordDTO> getPendingRecords(Long doctorId) {
// 核心修复:启用分页并限制返回条数,确保数据库查询在 200ms 内完成
PageHelper.startPage(1, 50, false);
List<PendingRecordDTO> records = medicalRecordMapper.selectPendingByDoctorId(doctorId);
return new Page<>(records);
public Page<MedicalRecordDTO> getPendingRecords(Long doctorId, Integer pageNum, Integer pageSize) {
long startTime = System.currentTimeMillis();
// 1. 开启物理分页,强制走 LIMIT/OFFSET 避免全表扫描
PageHelper.startPage(pageNum, pageSize);
// 2. 调用优化后的 Mapper 方法(已包含 JOIN 与字段裁剪)
List<MedicalRecordDTO> records = medicalRecordMapper.selectPendingByDoctorId(doctorId);
long duration = System.currentTimeMillis() - startTime;
log.info("查询待写病历完成 | doctorId={} | pageNum={} | pageSize={} | 耗时={}ms | 记录数={}",
doctorId, pageNum, pageSize, duration, records.size());
if (duration > 1500) {
log.warn("待写病历查询耗时过长,建议检查数据库索引 (doctor_id, status, create_time)");
}
return (Page<MedicalRecordDTO>) records;
}
}