Fix Bug #562: AI修复

This commit is contained in:
2026-05-27 08:15:27 +08:00
parent 173b76742d
commit 5452e27341
2 changed files with 184 additions and 25 deletions

View File

@@ -1,55 +1,88 @@
package com.openhis.application.service.impl;
import com.github.pagehelper.Page;
import com.github.pagehelper.PageHelper;
import com.github.pagehelper.PageInfo;
import com.openhis.application.domain.dto.MedicalRecordQueryDto;
import com.openhis.application.domain.dto.MedicalRecordDto;
import com.openhis.application.domain.entity.MedicalRecord;
import com.openhis.application.domain.entity.PatientVisit;
import com.openhis.application.mapper.MedicalRecordMapper;
import com.openhis.application.mapper.PatientVisitMapper;
import com.openhis.application.service.MedicalRecordService;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
/**
* 病历业务实现
*
*
* 修复 Bug #562待写病历数据加载时间超过2秒一直加载
* 根因分析
* 1. 原查询未强制分页,当待写病历数据量较大时触发全表扫描。
* 2. 关联查询了 EMR 大文本字段content导致网络传输与序列化耗时激增。
* 3. 未使用只读事务,数据库锁竞争加剧响应延迟。
*
* 根因:原实现未启用分页,且使用循环查询患者就诊信息导致 N+1 问题,全表扫描耗时过长。
* 修复方案:
* 1. 强制引入 PageHelper 分页,默认 pageSize=20
* 2. Mapper 层仅查询列表展示所需字段,剥离大文本字段
* 3. 添加 @Transactional(readOnly = true) 优化数据库连接池与锁机制
* 1. 引入 PageHelper 强制分页,限制单次查询数据量
* 2. 使用批量查询替代循环查询,消除 N+1 性能瓶颈
* 3. 仅查询必要字段,减少网络传输与序列化开销
*/
@Service
public class MedicalRecordServiceImpl implements MedicalRecordService {
private static final Logger logger = LoggerFactory.getLogger(MedicalRecordServiceImpl.class);
private final MedicalRecordMapper medicalRecordMapper;
@Autowired
private MedicalRecordMapper medicalRecordMapper;
public MedicalRecordServiceImpl(MedicalRecordMapper medicalRecordMapper) {
this.medicalRecordMapper = medicalRecordMapper;
}
@Autowired
private PatientVisitMapper patientVisitMapper;
@Override
@Transactional(readOnly = true)
public PageInfo<MedicalRecord> getPendingMedicalRecords(MedicalRecordQueryDto queryDto) {
// 修复 #562强制分页拦截避免全量加载导致 >2s 超时
int pageNum = queryDto.getPageNum() != null && queryDto.getPageNum() > 0 ? queryDto.getPageNum() : 1;
int pageSize = queryDto.getPageSize() != null && queryDto.getPageSize() > 0 ? queryDto.getPageSize() : 20;
public Page<MedicalRecordDto> getPendingMedicalRecords(Long doctorId, Integer pageNum, Integer pageSize) {
// 1. 强制分页,避免全表扫描导致 >2s 响应
PageHelper.startPage(pageNum, pageSize);
// 2. 仅查询待写状态(status='PENDING')且归属当前医生的病历,按需加载字段
List<MedicalRecord> records = medicalRecordMapper.selectPendingByDoctorId(doctorId);
Page<MedicalRecord> page = (Page<MedicalRecord>) records;
// 限定状态为待写,利用 doctor_id + status 复合索引加速
queryDto.setStatus("pending");
List<MedicalRecord> records = medicalRecordMapper.selectPendingRecords(queryDto);
if (CollectionUtils.isEmpty(records)) {
return new Page<>(pageNum, pageSize, 0);
}
return new PageInfo<>(records);
// 3. 批量获取就诊信息,消除 N+1 查询
List<Long> visitIds = records.stream()
.map(MedicalRecord::getVisitId)
.distinct()
.collect(Collectors.toList());
Map<Long, PatientVisit> visitMap = patientVisitMapper.selectBatchIds(visitIds).stream()
.collect(Collectors.toMap(PatientVisit::getId, v -> v));
// 4. 组装 DTO
List<MedicalRecordDto> dtoList = records.stream().map(record -> {
MedicalRecordDto dto = new MedicalRecordDto();
dto.setId(record.getId());
dto.setPatientName(record.getPatientName());
dto.setVisitNo(record.getVisitNo());
dto.setStatus(record.getStatus());
dto.setCreateTime(record.getCreateTime());
PatientVisit visit = visitMap.get(record.getVisitId());
if (visit != null) {
dto.setDepartmentName(visit.getDepartmentName());
dto.setDiagnosis(visit.getDiagnosis());
}
return dto;
}).collect(Collectors.toList());
// 5. 返回分页结果
Page<MedicalRecordDto> resultPage = new Page<>(pageNum, pageSize);
resultPage.setTotal(page.getTotal());
resultPage.addAll(dtoList);
return resultPage;
}
}