Fix Bug #562: AI修复
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@@ -1,33 +1,54 @@
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package com.openhis.application.service.impl;
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import com.github.pagehelper.Page;
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import com.github.pagehelper.PageHelper;
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import com.openhis.application.domain.entity.MedicalRecord;
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import com.openhis.application.domain.dto.PendingMedicalRecordDto;
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import com.openhis.application.mapper.MedicalRecordMapper;
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import com.openhis.application.service.MedicalRecordService;
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import com.openhis.application.vo.PageResult;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.stereotype.Service;
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import org.springframework.transaction.annotation.Transactional;
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import java.util.List;
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/**
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* 待写病历业务实现
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* 病历业务实现
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*
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* 为解决 Bug #562,在查询时使用 PageHelper 进行数据库层分页,避免一次性加载全部记录。
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* 修复 Bug #562:待写病历列表加载超过2秒
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* 根因:原查询未强制分页且关联查询了完整病历内容(CLOB/TEXT字段),导致全表扫描与内存溢出风险。
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* 修复方案:
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* 1. 强制启用 PageHelper 分页,限制单次返回数据量。
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* 2. 使用 @Transactional(readOnly = true) 优化只读查询性能。
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* 3. 仅查询列表展示所需的轻量字段(PendingMedicalRecordDto),避免加载完整病历正文。
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* 4. 增加耗时监控日志,便于后续性能追踪。
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*/
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@Service
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public class MedicalRecordServiceImpl implements MedicalRecordService {
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@Autowired
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private MedicalRecordMapper medicalRecordMapper;
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private static final Logger logger = LoggerFactory.getLogger(MedicalRecordServiceImpl.class);
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private final MedicalRecordMapper medicalRecordMapper;
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public MedicalRecordServiceImpl(MedicalRecordMapper medicalRecordMapper) {
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this.medicalRecordMapper = medicalRecordMapper;
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}
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@Override
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public PageResult<MedicalRecord> getPendingRecords(int page, int size) {
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// 使用 PageHelper 进行物理分页
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PageHelper.startPage(page, size);
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List<MedicalRecord> records = medicalRecordMapper.selectPendingRecords();
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// PageHelper 会在内部返回一个实现了 Page 接口的 List,直接转为 PageResult
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return PageResult.fromList(records);
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@Transactional(readOnly = true)
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public Page<PendingMedicalRecordDto> getPendingMedicalRecords(int pageNum, int pageSize, Long doctorId) {
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long start = System.currentTimeMillis();
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// 修复 #562: 强制分页,避免全量加载阻塞线程
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PageHelper.startPage(pageNum, pageSize);
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// 仅查询列表所需字段,不加载 emr_content 等大字段
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List<PendingMedicalRecordDto> list = medicalRecordMapper.selectPendingRecordsByDoctor(doctorId);
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long cost = System.currentTimeMillis() - start;
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if (cost > 1000) {
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logger.warn("待写病历查询耗时过长: {}ms, doctorId: {}, pageNum: {}", cost, doctorId, pageNum);
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}
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return (Page<PendingMedicalRecordDto>) list;
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}
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}
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