package com.ruoyi.satisfaction.service.impl;

import java.math.BigDecimal;
import java.math.RoundingMode;
import java.util.*;
import java.util.stream.Collectors;

import com.ruoyi.common.core.domain.entity.SysUser;
import com.ruoyi.common.core.domain.entity.SysUserDept;
import com.ruoyi.common.core.domain.model.LoginUser;
import com.ruoyi.common.utils.Arith;
import com.ruoyi.common.utils.ArrayListUtils;
import com.ruoyi.common.utils.DateUtils;
import com.ruoyi.common.utils.DtoConversionUtils;
import com.ruoyi.satisfaction.domain.vo.PatSatisfactionReqVO;
import com.ruoyi.satisfaction.domain.vo.PatSatisfactionResVO;
import com.ruoyi.satisfaction.domain.entity.PatSatisfactionDetailEntity;
import com.ruoyi.satisfaction.domain.entity.SatisfactionStatQuery;
import com.ruoyi.satisfaction.domain.entity.ServiceSubtaskSatisfactionEntity;
import com.ruoyi.satisfaction.mapper.PatSatisfactionMapper;
import com.ruoyi.satisfaction.mapper.SatisfactionMapper;
import com.ruoyi.satisfaction.mapper.SatisfactionScriptMapper;
import com.ruoyi.satisfaction.domain.row.SatisfactionCategoryRow;
import com.ruoyi.satisfaction.domain.row.SatisfactionIvrScriptRow;
import com.ruoyi.satisfaction.domain.row.SatisfactionOptionScoreRow;
import com.ruoyi.satisfaction.domain.row.SatisfactionScriptQuery;
import com.ruoyi.satisfaction.domain.row.SatisfactionSvyScriptRow;
import com.ruoyi.satisfaction.domain.ServiceSubtaskDetailRatioExport;
import com.ruoyi.satisfaction.service.strategy.SatisfactionScoreStrategyResolver;
import com.ruoyi.satisfaction.service.strategy.SatisfactionSites;
import org.apache.commons.collections4.CollectionUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import com.ruoyi.satisfaction.domain.PatSatisfaction;
import com.ruoyi.satisfaction.service.IPatSatisfactionService;

import static com.ruoyi.common.utils.SecurityUtils.getLoginUser;

/**
 * 患者满意度Service业务层处理
 *
 * @author lihu
 * @date 2025-06-30
 */
@Service
public class PatSatisfactionServiceImpl implements IPatSatisfactionService {
    @Autowired
    private PatSatisfactionMapper patSatisfactionMapper;

    @Autowired
    private SatisfactionMapper satisfactionMapper;

    @Autowired
    private SatisfactionScriptMapper satisfactionScriptMapper;

    /**
     * 站点口径策略解析器。
     * <p>
     * 本类的 {@code averageScoreByStat} 就是「通用口径（南华）」的综合满意度得分口径，
     * 现改为委托 {@link com.ruoyi.satisfaction.service.strategy.CommonSatisfactionScoreStrategy}，
     * 与省立同德口径（{@code SltdSatisfactionScoreStrategy}）通过同一策略接口并列，
     * 避免同一个概念在两处各写一份实现。
     */
    @Autowired
    private SatisfactionScoreStrategyResolver satisfactionScoreStrategyResolver;

    /**
     * 查询患者满意度
     *
     * @param id 患者满意度主键
     * @return 患者满意度
     */
    @Override
    public PatSatisfaction selectPatSatisfactionById(Long id) {
        PatSatisfaction ps = patSatisfactionMapper.selectPatSatisfactionById(id);
        double total = ps.getDoctorSatisfaction() + ps.getAuthenticity() + ps.getWeekFinish() + ps.getStandard() + ps.getTimeliness() + ps.getLibrary() + ps.getEnvironment() + ps.getNurseSatisfaction();
        ps.setTotal(total);
        return ps;
    }

    /**
     * 查询患者满意度列表
     *
     * @param patSatisfaction 患者满意度
     * @return 患者满意度
     */
    @Override
    public List<PatSatisfaction> selectPatSatisfactionList(PatSatisfaction patSatisfaction) {
        List<PatSatisfaction> patSatisfactions = patSatisfactionMapper.selectPatSatisfactionList(patSatisfaction);
        if (CollectionUtils.isNotEmpty(patSatisfactions)) {
            patSatisfactions.forEach(ps -> {
                double total = ps.getDoctorSatisfaction() + ps.getAuthenticity() + ps.getWeekFinish() + ps.getStandard() + ps.getTimeliness() + ps.getLibrary() + ps.getEnvironment() + ps.getNurseSatisfaction();
                ps.setTotal(total);
            });
        }
        return patSatisfactions;
    }

    /**
     * 新增患者满意度
     *
     * @param patSatisfaction 患者满意度
     * @return 结果
     */
    @Override
    public int insertPatSatisfaction(PatSatisfaction patSatisfaction) {
        patSatisfaction.setCreateTime(DateUtils.getNowDate());
        patSatisfaction.setUpdateTime(DateUtils.getNowDate());
        return patSatisfactionMapper.insertPatSatisfaction(patSatisfaction);
    }

    /**
     * 新增患者满意度
     *
     * @param patSatisfactions 患者满意度
     * @return 结果
     */
    @Override
    public int batchInsert(List<PatSatisfaction> patSatisfactions) {
        if(CollectionUtils.isEmpty(patSatisfactions)){
            return 0;
        }
        List<Long> ids = patSatisfactions.stream().map(PatSatisfaction::getId).
                distinct().collect(Collectors.toList());
        List<PatSatisfaction> patSatisfactionsOld = new ArrayList<>();
        PatSatisfaction patSatisfactionVo = new PatSatisfaction();
        patSatisfactionVo.setIds(ids);
        patSatisfactionsOld = patSatisfactionMapper.selectPatSatisfactionList(patSatisfactionVo);
        Map<String, List<PatSatisfaction>> maps = ArrayListUtils.splitListsById(patSatisfactions,
                patSatisfactionsOld, PatSatisfaction::getId);
        //只在patSatisfactions的数据，执行新增操作
        List<PatSatisfaction> addItems = maps.get("onlyIn1");
        //只在patSatisfactionsOld的数据，执行删除操作
//        List<PatSatisfaction> delItems = maps.get("onlyIn2");
        //重叠的数据，执行更新操作
        List<PatSatisfaction> editItems = maps.get("common");
        Integer count = 0;
        LoginUser loginUser = getLoginUser();
        SysUser user = loginUser.getUser();
        for (PatSatisfaction patSatisfaction0 : editItems) {
            patSatisfaction0.setUpdateBy(user.getNickName());
            patSatisfaction0.setUpdateTime(DateUtils.getNowDate());
            count = count + patSatisfactionMapper.updatePatSatisfaction(patSatisfaction0);
        }

        for (PatSatisfaction patSatisfaction1 : addItems) {
            patSatisfaction1.setCreateBy(user.getNickName());
            patSatisfaction1.setOrgid(user.getOrgid());
            patSatisfaction1.setCreateTime(DateUtils.getNowDate());
            patSatisfaction1.setUpdateTime(DateUtils.getNowDate());
            count = count + patSatisfactionMapper.insertPatSatisfaction(patSatisfaction1);
        }
        return count;
    }

    /**
     * 修改患者满意度
     *
     * @param patSatisfaction 患者满意度
     * @return 结果
     */
    @Override
    public int updatePatSatisfaction(PatSatisfaction patSatisfaction) {
        patSatisfaction.setUpdateTime(DateUtils.getNowDate());
        return patSatisfactionMapper.updatePatSatisfaction(patSatisfaction);
    }

    /**
     * 批量删除患者满意度
     *
     * @param ids 需要删除的患者满意度主键
     * @return 结果
     */
    @Override
    public int deletePatSatisfactionByIds(Long[] ids) {
        return patSatisfactionMapper.deletePatSatisfactionByIds(ids);
    }

    /**
     * 删除患者满意度信息
     *
     * @param id 患者满意度主键
     * @return 结果
     */
    @Override
    public int deletePatSatisfactionById(Long id) {
        return patSatisfactionMapper.deletePatSatisfactionById(id);
    }

    /**
     * 患者满意度统计
     *
     * @param patSatisfactionReqVO 患者满意度统计条件
     * @return 患者满意度统计结果
     */
    @Override
    public PatSatisfactionResVO statistics(PatSatisfactionReqVO patSatisfactionReqVO) {
        //定义返参
        PatSatisfactionResVO result = new PatSatisfactionResVO();
        //患者满意度统详情
        List<PatSatisfactionDetailEntity> patSatisfactionDetailEntities = new ArrayList<>();
        // [0]=答题总人数(已经回答问题的) [1]=总人数（包含未回答的）
        int[] personTotals = new int[2];

        // 只查本次条件下实际存在哪些 type（原来是把接近全表的上百个字段查回来，仅用于判断下面两个分支是否为空）
        List<String> types = satisfactionMapper.selectSatisfactionSubtaskTypes(patSatisfactionReqVO);
        boolean hasVoice = types != null && types.contains("1");
        boolean hasQuestionnaire = types != null && types.contains("2");

        if (hasVoice) {
            List<SatisfactionCategoryRow> ivrLibaScriptAssorts = satisfactionScriptMapper.selectIvrCategoryList(ivrCategoryQuery(patSatisfactionReqVO));
            List<Long> mydIdList = ivrLibaScriptAssorts.stream().filter(item -> item.getType() != null && item.getType().contains("myd")).map(SatisfactionCategoryRow::getId).collect(Collectors.toList());

            List<SatisfactionIvrScriptRow> ivrLibaTemplateScripts = satisfactionScriptMapper.queryIvrScriptByAssort(assortQuery(mydIdList));

            //3 一次统计全部问题的发送量/填报量/选项分值（原来是每个问题各查 3 次）
            List<SatScriptRef> scriptRefs = new ArrayList<>();
            for (SatisfactionIvrScriptRow ivrLibaTemplateScript : ivrLibaTemplateScripts) {
                scriptRefs.add(new SatScriptRef(ivrLibaTemplateScript.getTemplateid(), ivrLibaTemplateScript.getScriptid(), ivrLibaTemplateScript.getScriptContent(), ivrLibaTemplateScript.getDimension()));
            }
            buildSatisfactionDetailEntities(patSatisfactionReqVO, "1", true, scriptRefs, patSatisfactionDetailEntities, personTotals);
        }

        if (hasQuestionnaire) {
            List<SatisfactionCategoryRow> svyLibScriptCategories = satisfactionScriptMapper.selectSvyCategoryList(svyCategoryQuery(patSatisfactionReqVO));
            List<Long> mydIdList = svyLibScriptCategories.stream().filter(item -> item.getType() != null && item.getType().contains("myd")).map(SatisfactionCategoryRow::getId).collect(Collectors.toList());

            List<SatisfactionSvyScriptRow> svyLibTemplateScripts = satisfactionScriptMapper.querySvyScriptByCategory(categoryQuery(mydIdList));

            //3 一次统计全部问题的发送量/填报量/选项分值（原来是每个问题各查 3 次）
            List<SatScriptRef> scriptRefs = new ArrayList<>();
            for (SatisfactionSvyScriptRow svyLibTemplateScript : svyLibTemplateScripts) {
                // 问卷的选项表按 svy_lib_template_script 的主键关联
                scriptRefs.add(new SatScriptRef(svyLibTemplateScript.getSvyid(), svyLibTemplateScript.getId(), svyLibTemplateScript.getScriptContent(), svyLibTemplateScript.getDimension()));
            }
            buildSatisfactionDetailEntities(patSatisfactionReqVO, "2", false, scriptRefs, patSatisfactionDetailEntities, personTotals);
        }
        result.setTotalAnswerRate(Arith.div(personTotals[0], personTotals[1]));
        result.setPatSatisfactionDetailEntities(patSatisfactionDetailEntities);
        result.setTotalPerson(personTotals[0]);

        return result;
    }

    /**
     * 患者满意度统计（维度）
     *
     * @param patSatisfactionReqVO 患者满意度统计条件
     * @return 患者满意度统计结果
     */
    @Override
    public PatSatisfactionResVO statisticsByDimension(PatSatisfactionReqVO patSatisfactionReqVO) {
        //定义返参
        PatSatisfactionResVO result = new PatSatisfactionResVO();
        //患者满意度统详情
        List<PatSatisfactionDetailEntity> patSatisfactionDetailEntities = new ArrayList<>();
        // [0]=答题总人数(已经回答问题的) [1]=总人数（包含未回答的）
        int[] personTotals = new int[2];

        // 只查本次条件下实际存在哪些 type（原来是把接近全表的上百个字段查回来，仅用于判断下面两个分支是否为空）
        List<String> types = satisfactionMapper.selectSatisfactionSubtaskTypes(patSatisfactionReqVO);
        boolean hasVoice = types != null && types.contains("1");
        boolean hasQuestionnaire = types != null && types.contains("2");

        if (hasVoice) {
            //1. 先获取入参中的维护集合

            List<SatisfactionIvrScriptRow> ivrLibaTemplateScripts = satisfactionScriptMapper.selectIvrScriptByDimension(dimensionQuery(patSatisfactionReqVO));
            if (CollectionUtils.isNotEmpty(ivrLibaTemplateScripts)) {
                //3 一次统计全部问题的发送量/填报量/选项分值（原来是每个问题各查 3 次）
                List<SatScriptRef> scriptRefs = new ArrayList<>();
                for (SatisfactionIvrScriptRow ivrLibaTemplateScript : ivrLibaTemplateScripts) {
                    scriptRefs.add(new SatScriptRef(ivrLibaTemplateScript.getTemplateid(), ivrLibaTemplateScript.getScriptid(), ivrLibaTemplateScript.getScriptContent(), ivrLibaTemplateScript.getDimension()));
                }
                buildSatisfactionDetailEntities(patSatisfactionReqVO, "1", true, scriptRefs, patSatisfactionDetailEntities, personTotals);
            }
        }

        if (hasQuestionnaire) {
            //1. 先获取入参中的满意度维度
            List<SatisfactionSvyScriptRow> svyLibTemplateScripts = satisfactionScriptMapper.selectSvyScriptByDimension(dimensionQuery(patSatisfactionReqVO));
            if (CollectionUtils.isNotEmpty(svyLibTemplateScripts)) {
                //3 一次统计全部问题的发送量/填报量/选项分值（原来是每个问题各查 3 次）
                List<SatScriptRef> scriptRefs = new ArrayList<>();
                for (SatisfactionSvyScriptRow svyLibTemplateScript : svyLibTemplateScripts) {
                    // 问卷的选项表按 svy_lib_template_script 的主键关联
                    scriptRefs.add(new SatScriptRef(svyLibTemplateScript.getSvyid(), svyLibTemplateScript.getId(), svyLibTemplateScript.getScriptContent(), svyLibTemplateScript.getDimension()));
                }
                buildSatisfactionDetailEntities(patSatisfactionReqVO, "2", false, scriptRefs, patSatisfactionDetailEntities, personTotals);
            }
        }
        result.setTotalAnswerRate(Arith.div(personTotals[0], personTotals[1]));
        result.setPatSatisfactionDetailEntities(patSatisfactionDetailEntities);
        result.setTotalPerson(personTotals[0]);

        return result;
    }

    @Override
    public Map<String, Object> satisfactionGraph(PatSatisfactionReqVO patSatisfactionReqVO) {
        //用来记录柱状图信息（key=满意度分类名称，value=满意度分类下的总人数和填报人数）
        Map<String, Object> zzt = new HashMap<>();

        // 记录一下每种分类的填报情况（只记分值与条数，不再把明细行全部查回 Java）
        Map<String, List<ScoreCount>> assortNameFillCountMap = new HashMap<>();

        if (patSatisfactionReqVO.getType() == null || patSatisfactionReqVO.getType() == 1) {
            List<SatisfactionCategoryRow> ivrLibaScriptAssorts = satisfactionScriptMapper.selectIvrCategoryList(ivrCategoryQuery(patSatisfactionReqVO));
            List<Long> mydIdList = ivrLibaScriptAssorts.stream().filter(item -> item.getType() != null && item.getType().contains("myd")).map(SatisfactionCategoryRow::getId).collect(Collectors.toList());

            List<SatisfactionIvrScriptRow> ivrLibaTemplateScripts = satisfactionScriptMapper.queryIvrScriptByAssort(assortQuery(mydIdList));

            //2.1 一次性把本次请求全部模板的发送量、回收人数查回来（原来是每个模板问题各查两次）
            SatisfactionStatQuery statQuery = buildSatisfactionStatQuery(patSatisfactionReqVO, "1",
                    ivrLibaTemplateScripts.stream().map(SatisfactionIvrScriptRow::getTemplateid).collect(Collectors.toList()));
            Map<Long, Long> sendCountMap = mapSatisfactionSendCount(statQuery);
            SatisfactionFillStat fillStat = querySatisfactionFillStat(statQuery);
            Map<Long, Long> fillPersonCountMap = mapSatisfactionFillPersonCount(statQuery);

            //3 按scriptAssortname分组,并获取每个集合进行遍历，计算每个分类的总人数和填报人数
            Map<String, List<SatisfactionIvrScriptRow>> scriptGroupByAssortName = ivrLibaTemplateScripts.stream().filter(item -> item.getScriptAssortname() != null).collect(Collectors.groupingBy(SatisfactionIvrScriptRow::getScriptAssortname));
            if (scriptGroupByAssortName != null && !scriptGroupByAssortName.isEmpty()) {
                for (String assortNameKey : scriptGroupByAssortName.keySet()) {
                    // 该分类涉及的去重模板：发送人数/回收人数都按模板统计，
                    // 按题目循环累加会把同一个模板的量重复计成「题量」
                    Set<Long> categoryTemplateIds = new LinkedHashSet<>();
                    //获取该分类的填报总数量（只用于算平均分，按题目聚合的行数）
                    List<ScoreCount> allFillCountList = new ArrayList<>();

                    List<SatisfactionIvrScriptRow> ivrLibaTemplateScriptList = scriptGroupByAssortName.get(assortNameKey);
                    for (SatisfactionIvrScriptRow ivrLibaTemplateScript : ivrLibaTemplateScriptList) {
                        Long templateId = ivrLibaTemplateScript.getTemplateid();
                        if (templateId != null) {
                            categoryTemplateIds.add(templateId);
                        }
                        //获取填报分值分布（只用于平均分）
                        List<ScoreCount> fillCount = fillStat.get(templateId, ivrLibaTemplateScript.getScriptContent());
                        if (CollectionUtils.isNotEmpty(fillCount)) allFillCountList.addAll(fillCount);
                    }

                    //记录发送总人数、回收总人数
                    Double subidAll = 0.0;
                    Double fillCountAll = 0.0;
                    for (Long templateId : categoryTemplateIds) {
                        subidAll += sendCountMap.getOrDefault(templateId, 0L);
                        fillCountAll += fillPersonCountMap.getOrDefault(templateId, 0L);
                    }

                    // 这里先记录一下每个分类的总人数和填报人数
                    Map<String, Object> personCount = new HashMap<>();
                    personCount.put("fillCountAll", fillCountAll);
                    personCount.put("subidAll", subidAll);
                    personCount.put("receiveRate", Arith.div(fillCountAll, subidAll));
                    personCount.put("averageScore", averageScoreByStat(allFillCountList));
                    zzt.put(assortNameKey, personCount);
                    assortNameFillCountMap.put(assortNameKey, allFillCountList);
                }
            }
        }

        if (patSatisfactionReqVO.getType() == null || patSatisfactionReqVO.getType() == 2) {
            List<SatisfactionCategoryRow> svyLibScriptCategories = satisfactionScriptMapper.selectSvyCategoryList(svyCategoryQuery(patSatisfactionReqVO));
            List<Long> mydIdList = svyLibScriptCategories.stream().filter(item -> item.getType() != null && item.getType().contains("myd")).map(SatisfactionCategoryRow::getId).collect(Collectors.toList());

            List<SatisfactionSvyScriptRow> svyLibTemplateScripts = satisfactionScriptMapper.querySvyScriptByCategory(categoryQuery(mydIdList));

            //2.1 一次性把本次请求全部模板的发送量、回收人数查回来（原来是每个模板问题各查两次）
            SatisfactionStatQuery statQuery = buildSatisfactionStatQuery(patSatisfactionReqVO, "2",
                    svyLibTemplateScripts.stream().map(SatisfactionSvyScriptRow::getSvyid).collect(Collectors.toList()));
            Map<Long, Long> sendCountMap = mapSatisfactionSendCount(statQuery);
            SatisfactionFillStat fillStat = querySatisfactionFillStat(statQuery);
            Map<Long, Long> fillPersonCountMap = mapSatisfactionFillPersonCount(statQuery);

            //3 按scriptAssortname分组,并获取每个集合进行遍历，计算每个分类的总人数和填报人数
            Map<String, List<SatisfactionSvyScriptRow>> scriptGroupByatCegoryName = svyLibTemplateScripts.stream().filter(item -> item.getCategoryName() != null).collect(Collectors.groupingBy(SatisfactionSvyScriptRow::getCategoryName));
            if (scriptGroupByatCegoryName != null && !scriptGroupByatCegoryName.isEmpty()) {
                for (String categoryNameKey : scriptGroupByatCegoryName.keySet()) {
                    // 该分类涉及的去重模板：发送人数/回收人数都按模板统计，
                    // 按题目循环累加会把同一个模板的量重复计成「题量」
                    Set<Long> categoryTemplateIds = new LinkedHashSet<>();
                    //获取该分类的填报总数量（只用于算平均分，按题目聚合的行数）
                    List<ScoreCount> allFillCountList = new ArrayList<>();

                    List<SatisfactionSvyScriptRow> svyLibTemplateScriptList = scriptGroupByatCegoryName.get(categoryNameKey);
                    for (SatisfactionSvyScriptRow svyLibTemplateScript : svyLibTemplateScriptList) {
                        Long templateId = svyLibTemplateScript.getSvyid();
                        if (templateId != null) {
                            categoryTemplateIds.add(templateId);
                        }
                        //获取填报分值分布（只用于平均分）
                        List<ScoreCount> fillCount = fillStat.get(templateId, svyLibTemplateScript.getScriptContent());
                        if (CollectionUtils.isNotEmpty(fillCount)) allFillCountList.addAll(fillCount);
                    }

                    //记录发送总人数、回收总人数
                    Double subidAll = 0.0;
                    Double fillCountAll = 0.0;
                    for (Long templateId : categoryTemplateIds) {
                        subidAll += sendCountMap.getOrDefault(templateId, 0L);
                        fillCountAll += fillPersonCountMap.getOrDefault(templateId, 0L);
                    }

                    // 这里先记录一下每个分类的总人数和填报人数
                    Map<String, Object> personCount = (Map<String, Object>) zzt.get(categoryNameKey);
                    if (!Objects.isNull(personCount)) {
                        Double fillCountAll2 = (Double) personCount.get("fillCountAll");
                        Double subidAll2 = (Double) personCount.get("subidAll");
                        personCount.put("fillCountAll", fillCountAll2 + fillCountAll);
                        personCount.put("subidAll", subidAll2 + subidAll);
                        personCount.put("receiveRate", Arith.div((Double) personCount.get("fillCountAll"), (Double) personCount.get("subidAll")));

                        //看一下之前有没有该分类的填报量
                        List<ScoreCount> serviceSubtaskDetailDTOS = assortNameFillCountMap.get(categoryNameKey);
                        if (CollectionUtils.isNotEmpty(serviceSubtaskDetailDTOS))
                            allFillCountList.addAll(serviceSubtaskDetailDTOS);
                        personCount.put("averageScore", averageScoreByStat(allFillCountList));
                    } else {
                        personCount = new HashMap<>();
                        personCount.put("fillCountAll", fillCountAll);
                        personCount.put("subidAll", subidAll);
                        personCount.put("receiveRate", Arith.div(fillCountAll, subidAll));
                        personCount.put("averageScore", averageScoreByStat(allFillCountList));
                        zzt.put(categoryNameKey, personCount);
                    }
                }
            }
        }
        return zzt;
    }

    @Override
    public Map<String, Object> satisfactionGraphDimension(PatSatisfactionReqVO patSatisfactionReqVO) {
        //用来记录柱状图信息（key=满意度维度名称，value=该维度下的总人数和填报人数）
        Map<String, Object> zzt = new HashMap<>();

        // 记录一下每个维度的填报情况（只记分值与条数，不再把明细行全部查回 Java）
        Map<String, List<ScoreCount>> assortNameFillCountMap = new HashMap<>();

        if (patSatisfactionReqVO.getType() == null || patSatisfactionReqVO.getType() == 1) {

            List<SatisfactionIvrScriptRow> ivrLibaTemplateScripts = satisfactionScriptMapper.selectIvrScriptByDimension(dimensionQuery(patSatisfactionReqVO));
            if (ivrLibaTemplateScripts != null && !ivrLibaTemplateScripts.isEmpty()) {
                //3 按dimension维度分组,并获取每个集合进行遍历，计算每个分类的总人数和填报人数
                List<SatisfactionIvrScriptRow> dimensionScripts = ivrLibaTemplateScripts.stream().filter(item -> item.getDimension() != null).collect(Collectors.toList());
                Map<String, List<SatisfactionIvrScriptRow>> groupByDimension = dimensionScripts.stream().collect(Collectors.groupingBy(SatisfactionIvrScriptRow::getDimension));

                if (groupByDimension != null && !groupByDimension.isEmpty()) {
                    //3.1 一次性把本次请求全部模板的发送量、回收人数查回来（原来是每个模板问题各查两次）
                    SatisfactionStatQuery statQuery = buildSatisfactionStatQuery(patSatisfactionReqVO, "1",
                            dimensionScripts.stream().map(SatisfactionIvrScriptRow::getTemplateid).collect(Collectors.toList()));
                    Map<Long, Long> sendCountMap = mapSatisfactionSendCount(statQuery);
                    SatisfactionFillStat fillStat = querySatisfactionFillStat(statQuery);
                    Map<Long, Long> fillPersonCountMap = mapSatisfactionFillPersonCount(statQuery);

                    for (String dimension : groupByDimension.keySet()) {
                        // 该维度涉及的去重模板：发送人数/回收人数都按模板统计，按题目累加会变成题量
                        Set<Long> dimensionTemplateIds = new LinkedHashSet<>();
                        //获取该维度的填报分值分布（只用于算平均分）
                        List<ScoreCount> allFillCountList = new ArrayList<>();

                        List<SatisfactionIvrScriptRow> ivrLibaTemplateScriptList = groupByDimension.get(dimension);
                        for (SatisfactionIvrScriptRow ivrLibaTemplateScript : ivrLibaTemplateScriptList) {
                            Long templateId = ivrLibaTemplateScript.getTemplateid();
                            if (templateId != null) {
                                dimensionTemplateIds.add(templateId);
                            }
                            //获取填报分值分布（只用于平均分）
                            List<ScoreCount> fillCount = fillStat.get(templateId, ivrLibaTemplateScript.getScriptContent());
                            if (CollectionUtils.isNotEmpty(fillCount)) allFillCountList.addAll(fillCount);
                        }

                        //记录发送总人数、回收总人数
                        Double subidAll = 0.0;
                        Double fillCountAll = 0.0;
                        for (Long templateId : dimensionTemplateIds) {
                            subidAll += sendCountMap.getOrDefault(templateId, 0L);
                            fillCountAll += fillPersonCountMap.getOrDefault(templateId, 0L);
                        }

                        // 这里先记录一下每个分类的总人数和填报人数
                        Map<String, Object> personCount = new HashMap<>();
                        personCount.put("fillCountAll", fillCountAll);
                        personCount.put("subidAll", subidAll);
                        personCount.put("receiveRate", Arith.div(fillCountAll, subidAll));
                        personCount.put("averageScore", averageScoreByStat(allFillCountList));
                        zzt.put(dimension, personCount);
                        assortNameFillCountMap.put(dimension, allFillCountList);
                    }
                }
            }
        }

        if (patSatisfactionReqVO.getType() == null || patSatisfactionReqVO.getType() == 2) {
            //1.  从入参中获取满意度维维度

            List<SatisfactionSvyScriptRow> svyLibTemplateScripts = satisfactionScriptMapper.selectSvyScriptByDimension(dimensionQuery(patSatisfactionReqVO));
            if (svyLibTemplateScripts != null && !svyLibTemplateScripts.isEmpty()) {
                //3 按dimension维度分组,并获取每个集合进行遍历，计算每个分类的总人数和填报人数
                List<SatisfactionSvyScriptRow> dimensionScripts = svyLibTemplateScripts.stream().filter(item -> item.getDimension() != null).collect(Collectors.toList());
                Map<String, List<SatisfactionSvyScriptRow>> groupByDimension = dimensionScripts.stream().collect(Collectors.groupingBy(SatisfactionSvyScriptRow::getDimension));
                if (groupByDimension != null && !groupByDimension.isEmpty()) {
                    //3.1 一次性把本次请求全部模板的发送量、回收人数查回来（原来是每个模板问题各查两次）
                    SatisfactionStatQuery statQuery = buildSatisfactionStatQuery(patSatisfactionReqVO, "2",
                            dimensionScripts.stream().map(SatisfactionSvyScriptRow::getSvyid).collect(Collectors.toList()));
                    Map<Long, Long> sendCountMap = mapSatisfactionSendCount(statQuery);
                    SatisfactionFillStat fillStat = querySatisfactionFillStat(statQuery);
                    Map<Long, Long> fillPersonCountMap = mapSatisfactionFillPersonCount(statQuery);

                    for (String dimension : groupByDimension.keySet()) {
                        // 该维度涉及的去重模板：发送人数/回收人数都按模板统计，按题目累加会变成题量
                        Set<Long> dimensionTemplateIds = new LinkedHashSet<>();
                        //获取该分类的填报分值分布（只用于算平均分）
                        List<ScoreCount> allFillCountList = new ArrayList<>();

                        List<SatisfactionSvyScriptRow> svyLibTemplateScriptList = groupByDimension.get(dimension);
                        for (SatisfactionSvyScriptRow svyLibTemplateScript : svyLibTemplateScriptList) {
                            Long templateId = svyLibTemplateScript.getSvyid();
                            if (templateId != null) {
                                dimensionTemplateIds.add(templateId);
                            }
                            //获取填报分值分布（只用于平均分）
                            List<ScoreCount> fillCount = fillStat.get(templateId, svyLibTemplateScript.getScriptContent());
                            if (CollectionUtils.isNotEmpty(fillCount)) allFillCountList.addAll(fillCount);
                        }

                        //记录发送总人数、回收总人数
                        Double subidAll = 0.0;
                        Double fillCountAll = 0.0;
                        for (Long templateId : dimensionTemplateIds) {
                            subidAll += sendCountMap.getOrDefault(templateId, 0L);
                            fillCountAll += fillPersonCountMap.getOrDefault(templateId, 0L);
                        }

                        // 这里先记录一下每个分类的总人数和填报人数
                        Map<String, Object> personCount = (Map<String, Object>) zzt.get(dimension);
                        if (!Objects.isNull(personCount)) {
                            Double fillCountAll2 = (Double) personCount.get("fillCountAll");
                            Double subidAll2 = (Double) personCount.get("subidAll");
                            personCount.put("fillCountAll", fillCountAll2 + fillCountAll);
                            personCount.put("subidAll", subidAll2 + subidAll);
                            personCount.put("receiveRate", Arith.div((Double) personCount.get("fillCountAll"), (Double) personCount.get("subidAll")));

                            //看一下之前有没有该分类的填报量
                            List<ScoreCount> serviceSubtaskDetailDTOS = assortNameFillCountMap.get(dimension);
                            if (CollectionUtils.isNotEmpty(serviceSubtaskDetailDTOS))
                                allFillCountList.addAll(serviceSubtaskDetailDTOS);
                            personCount.put("averageScore", averageScoreByStat(allFillCountList));
                        } else {
                            personCount = new HashMap<>();
                            personCount.put("fillCountAll", fillCountAll);
                            personCount.put("subidAll", subidAll);
                            personCount.put("receiveRate", Arith.div(fillCountAll, subidAll));
                            personCount.put("averageScore", averageScoreByStat(allFillCountList));
                            zzt.put(dimension, personCount);
                        }
                    }
                }
            }
        }
        return zzt;
    }

                // ==================== satisfactionGraph 聚合统计（替代逐个模板查库） ====================

    /**
     * 构建聚合统计入参（取值来源与原 DtoConversionUtils.sourceToTarget(patSatisfactionReqVO, ServiceSubtaskSatisfactionEntity.class) 一致）
     *
     * @param reqVO       原始请求
     * @param type        service_subtask.type（1 语音、2 问卷），用字符串比较避免隐式转换
     * @param templateIds 本次请求涉及的模板id（ivr 用 templateid，问卷用 svyid）
     */
    private SatisfactionStatQuery buildSatisfactionStatQuery(PatSatisfactionReqVO reqVO, String type, List<Long> templateIds) {
        SatisfactionStatQuery statQuery = new SatisfactionStatQuery();
        statQuery.setOrgid(reqVO.getOrgid());
        statQuery.setCampusid(reqVO.getCampusid());
        statQuery.setType(type);
        statQuery.setStartTime(reqVO.getStartTime());
        statQuery.setEndTime(reqVO.getEndTime());
        statQuery.setDeptcodes(reqVO.getDeptcodes());
        statQuery.setHospitaldistrictcodes(reqVO.getHospitaldistrictcodes());
        statQuery.setLibTemplateIds(CollectionUtils.isEmpty(templateIds) ? templateIds
                : templateIds.stream().filter(Objects::nonNull).distinct().collect(Collectors.toList()));
        return statQuery;
    }

    /**
     * 一次查出全部模板的发送量
     *
     * @return key=模板id，value=发送量（等价于原 querySendCount 结果的 size）
     */
    private Map<Long, Long> mapSatisfactionSendCount(SatisfactionStatQuery statQuery) {
        Map<Long, Long> sendCountMap = new HashMap<>();
        if (statQuery == null || CollectionUtils.isEmpty(statQuery.getLibTemplateIds())) return sendCountMap;
        List<Map<String, Object>> rows = satisfactionMapper.selectSatisfactionSendCount(statQuery);
        if (CollectionUtils.isEmpty(rows)) return sendCountMap;
        for (Map<String, Object> row : rows) {
            Long templateId = toLong(row.get("libtemplateid"));
            if (templateId == null) continue;
            sendCountMap.put(templateId, toLong(row.get("cnt"), 0L));
        }
        return sendCountMap;
    }

    /**
     * 一次查出全部模板的「回收人数」（按模板去重，同一个人答多道题只算一人）
     *
     * @return key=模板id，value=回收人数
     */
    private Map<Long, Long> mapSatisfactionFillPersonCount(SatisfactionStatQuery statQuery) {
        Map<Long, Long> fillPersonCountMap = new HashMap<>();
        if (statQuery == null || CollectionUtils.isEmpty(statQuery.getLibTemplateIds())) return fillPersonCountMap;
        List<Map<String, Object>> rows = satisfactionMapper.selectSatisfactionFillPersonCount(statQuery);
        if (CollectionUtils.isEmpty(rows)) return fillPersonCountMap;
        for (Map<String, Object> row : rows) {
            Long templateId = toLong(row.get("libtemplateid"));
            if (templateId == null) continue;
            fillPersonCountMap.put(templateId, toLong(row.get("cnt"), 0L));
        }
        return fillPersonCountMap;
    }

    /**
     * 一次查出全部模板的填报量（按 模板+问题+分值 分组）
     */
    private SatisfactionFillStat querySatisfactionFillStat(SatisfactionStatQuery statQuery) {
        SatisfactionFillStat fillStat = new SatisfactionFillStat();
        if (statQuery == null || CollectionUtils.isEmpty(statQuery.getLibTemplateIds())) return fillStat;
        List<Map<String, Object>> rows = satisfactionMapper.selectSatisfactionFillStat(statQuery);
        if (CollectionUtils.isEmpty(rows)) return fillStat;
        for (Map<String, Object> row : rows) {
            Long templateId = toLong(row.get("libtemplateid"));
            if (templateId == null) continue;
            long cnt = toLong(row.get("cnt"), 0L);
            if (cnt <= 0L) continue;
            Object scoreValue = row.get("score");
            Object questiontextValue = row.get("questiontext");
            ScoreCount scoreCount = new ScoreCount(scoreValue == null ? null : String.valueOf(scoreValue), cnt);
            fillStat.add(templateId, questiontextValue == null ? null : String.valueOf(questiontextValue), scoreCount);
        }
        return fillStat;
    }

    /**
     * 获取平均分（聚合版：分值与条数）
     * <p>
     * 口径与原 {@code averageScore(List)} 完全一致：分子为可解析分值之和，分母为明细行数（包含分值为空的行）。
     * 注意不能改成 sql 的 avg() 或「有分值的行数」做分母，否则返回的 averageScore 会变。
     * <p>
     * <b>策略化（2026）</b>：真正的算法已收敛到「通用口径（南华）」策略
     * {@link com.ruoyi.satisfaction.service.strategy.CommonSatisfactionScoreStrategy}，
     * 本方法只做入参适配（把内部 {@code ScoreCount} 转成统一的占比行）。
     * <b>计算结果与迁移前逐位相同</b>（保留 1 位、HALF_UP；无行时 0.0）。
     */
    private Double averageScoreByStat(List<ScoreCount> fillCount) {
        if (CollectionUtils.isEmpty(fillCount)) return 0.0;

        // 适配成策略的统一入参：只带 score 与 count 两个字段（策略只用到这两个）
        List<ServiceSubtaskDetailRatioExport> rows = new ArrayList<>(fillCount.size());
        for (ScoreCount scoreCount : fillCount) {
            if (scoreCount.getCount() <= 0L) continue;   // 与原文一致：非正数的聚合行不参与
            ServiceSubtaskDetailRatioExport row = new ServiceSubtaskDetailRatioExport();
            row.setScore(scoreCount.getScore());
            row.setCount(String.valueOf(scoreCount.getCount()));
            rows.add(row);
        }

        BigDecimal average = satisfactionScoreStrategyResolver
                .resolve(SatisfactionSites.COMMON)
                .comprehensiveScore(rows);
        return average == null ? 0.0 : average.doubleValue();
    }

    /**
     * 分值分组键：模板id + 分隔符 + 规范化后的问题内容
     * <p>
     * MySQL 里 questiontext = #{questiontext} 是「忽略大小写、忽略尾部空格」的比较，
     * 这里用 trim + 小写做等价匹配。
     */
    private static String statKey(Long templateId, String questiontext) {
        return templateId + "\u0001" + (questiontext == null ? "" : questiontext.trim().toLowerCase(Locale.ROOT));
    }

    private static Long toLong(Object value) {
        if (value == null) return null;
        if (value instanceof Number) return ((Number) value).longValue();
        String text = String.valueOf(value).trim();
        return text.isEmpty() ? null : Long.valueOf(text);
    }

    private static long toLong(Object value, long defaultValue) {
        Long result = toLong(value);
        return result == null ? defaultValue : result;
    }

    /**
     * 满意度分值聚合结果：分值 + 该分值对应的明细行数
     */
    private static class ScoreCount {
        private final String score;
        private final long count;

        ScoreCount(String score, long count) {
            this.score = score;
            this.count = count;
        }

        String getScore() {
            return score;
        }

        long getCount() {
            return count;
        }
    }

    /**
     * 满意度填报量聚合结果
     * <p>
     * byTemplateQuestion：按 模板+问题 分组；
     * byTemplate：按模板分组（该模板全部问题），用于兼容原 queryFillCount 在
     * script_content 为 null 时不拼 questiontext 条件的行为。
     */
    private static class SatisfactionFillStat {
        private final Map<String, List<ScoreCount>> byTemplateQuestion = new HashMap<>();
        private final Map<Long, List<ScoreCount>> byTemplate = new HashMap<>();

        void add(Long templateId, String questiontext, ScoreCount scoreCount) {
            byTemplate.computeIfAbsent(templateId, key -> new ArrayList<>()).add(scoreCount);
            if (questiontext != null) {
                byTemplateQuestion.computeIfAbsent(statKey(templateId, questiontext), key -> new ArrayList<>()).add(scoreCount);
            }
        }

        List<ScoreCount> get(Long templateId, String scriptContent) {
            if (templateId == null) return null;
            if (scriptContent == null) return byTemplate.get(templateId);
            return byTemplateQuestion.get(statKey(templateId, scriptContent));
        }
    }

    // ==================== statistics / statisticsByDimension 批量统计（替代逐个问题查库） ====================

    /**
     * 满意度明细统计（statistics、statisticsByDimension 共用）
     * <p>
     * 把原来「每个问题 3 条 SQL」改成「整个请求 3 条查询 + 内存组装」：
     * ① 发送量按 libtemplateid 分组；② 填报量按 模板+问题+matchedtext+score 分组；③ 选项分值按 scriptid 分组。
     *
     * @param reqVO      原始请求
     * @param type       service_subtask.type（1 语音、2 问卷）
     * @param voice      true=语音问题（选项分值取 ivr_liba_template_targetoption）
     * @param scriptRefs 本次要统计的问题（顺序即返回顺序）
     * @param out        明细结果
     * @param totals     [0]=totalPerson, [1]=allPerson
     */
    private void buildSatisfactionDetailEntities(PatSatisfactionReqVO reqVO, String type, boolean voice,
                                                 List<SatScriptRef> scriptRefs,
                                                 List<PatSatisfactionDetailEntity> out, int[] totals) {
        if (CollectionUtils.isEmpty(scriptRefs)) return;

        List<Long> templateIds = scriptRefs.stream().map(SatScriptRef::getTemplateId)
                .filter(Objects::nonNull).distinct().collect(Collectors.toList());
        SatisfactionStatQuery statQuery = buildSatisfactionStatQuery(reqVO, type, templateIds);
        Map<Long, Long> sendCountMap = mapSatisfactionSendCount(statQuery);
        SatisfactionFillStatByMatchedtext fillStat = querySatisfactionFillStatByMatchedtext(statQuery);
        //答题【人数】：按 模板+问题 的 distinct sub_id（与「发送人数」同口径）
        Map<String, Long> answerPersonMap = mapSatisfactionFillPersonCountByQuestion(statQuery);
        Map<Long, List<String>> optionScores = loadTargetOptionScores(voice, scriptRefs);

        for (SatScriptRef scriptRef : scriptRefs) {
            Long templateId = scriptRef.getTemplateId();
            //发送总量（原来是把全部 sub_id 查回 Java 再取 size）
            long sendCount = templateId == null ? 0L : sendCountMap.getOrDefault(templateId, 0L);
            //填报【行数】：用于平均分 / 最高分 / 最低分 / 各选项占比（这些口径本来就按明细行计）
            List<MatchedtextCount> fillRows = fillStat.get(templateId, scriptRef.getScriptContent());
            long fillCount = countFillRowsByMatchedtext(fillRows);
            //答题【人数】：用于 答题人数 / 未答题人数 / 答题率
            long answerPersonCount = answerPersonMap.getOrDefault(
                    statKey(templateId, scriptRef.getScriptContent()), 0L);

            PatSatisfactionDetailEntity detail = new PatSatisfactionDetailEntity();
            detail.setScriptContent(scriptRef.getScriptContent());
            //维度：原本查询里已取到，但构造 SatScriptRef 时被丢掉，导致前端「维度」列一直为空
            detail.setDimension(scriptRef.getDimension());
            // ⚠️ 人数口径修正：原来这里用的是 fillCount（明细行数），
            //    而发送人数是 count(distinct id)（人数），两者相减会出现负数（实测 -120 = 15 − 135）。
            //    一条 (sub_id, questiontext) 可能有多行明细，所以答题人数必须取 distinct sub_id。
            detail.setAnswerPerson((int) answerPersonCount);
            detail.setNoAnswerPerson(answerPersonCount > 0L && sendCount > 0L ? (int) (sendCount - answerPersonCount)
                    : sendCount > 0L ? (int) sendCount : 0);
            detail.setAverageScore(String.valueOf(averageScoreByMatchedtext(fillRows)));
            List<String> scores = optionScores.get(scriptRef.getOptionScriptId());
            detail.setMaxScore(String.valueOf(maxScoreOf(scores)));
            detail.setMinScore(String.valueOf(minScoreOf(scores)));
            detail.setAnswerRate(sendCount == 0L ? 0 : answerPersonCount == 0L ? 0 : answerPersonCount * 1.0 / sendCount);
            detail.setMatchedtextStats(buildMatchedtextStats(fillRows, fillCount));
            out.add(detail);

            totals[0] += (int) answerPersonCount;
            totals[1] += (int) sendCount;
        }
    }

    /**
     * 一次查出「全部 模板+问题」的答题人数（{@code count(distinct ssd.sub_id)}）。
     * <p>
     * key 用与 {@link #statKey(Long, String)} 相同的规则构造，保证与调用方的查找一致
     * （{@code statKey} 已做 trim + 小写，等价于 MySQL 的忽略大小写与尾部空格比较）。
     */
    private Map<String, Long> mapSatisfactionFillPersonCountByQuestion(SatisfactionStatQuery statQuery) {
        Map<String, Long> answerPersonMap = new HashMap<>();
        if (statQuery == null || CollectionUtils.isEmpty(statQuery.getLibTemplateIds())) return answerPersonMap;
        List<Map<String, Object>> rows = satisfactionMapper.selectSatisfactionFillPersonCountByQuestion(statQuery);
        if (CollectionUtils.isEmpty(rows)) return answerPersonMap;
        for (Map<String, Object> row : rows) {
            Long templateId = toLong(row.get("libtemplateid"));
            if (templateId == null) continue;
            long cnt = toLong(row.get("cnt"), 0L);
            if (cnt <= 0L) continue;
            Object questiontext = row.get("questiontext");
            answerPersonMap.merge(
                    statKey(templateId, questiontext == null ? null : String.valueOf(questiontext)),
                    cnt, Long::sum);
        }
        return answerPersonMap;
    }

    /**
     * 一次查出全部问题的填报量（按 模板+问题+matchedtext+score 分组，含 targetvalue）
     */
    private SatisfactionFillStatByMatchedtext querySatisfactionFillStatByMatchedtext(SatisfactionStatQuery statQuery) {
        SatisfactionFillStatByMatchedtext fillStat = new SatisfactionFillStatByMatchedtext();
        if (statQuery == null || CollectionUtils.isEmpty(statQuery.getLibTemplateIds())) return fillStat;
        List<Map<String, Object>> rows = satisfactionMapper.selectSatisfactionFillStatByMatchedtext(statQuery);
        if (CollectionUtils.isEmpty(rows)) return fillStat;
        for (Map<String, Object> row : rows) {
            Long templateId = toLong(row.get("libtemplateid"));
            if (templateId == null) continue;
            long cnt = toLong(row.get("cnt"), 0L);
            if (cnt <= 0L) continue;
            Object questiontext = row.get("questiontext");
            Object matchedtext = row.get("matchedtext");
            Object score = row.get("score");
            Object targetvalue = row.get("targetvalue");
            fillStat.add(templateId, questiontext == null ? null : String.valueOf(questiontext),
                    new MatchedtextCount(matchedtext == null ? null : String.valueOf(matchedtext),
                            score == null ? null : String.valueOf(score),
                            targetvalue == null ? null : String.valueOf(targetvalue), cnt));
        }
        return fillStat;
    }

    /**
     * 一次查出全部问题的选项分值（只取 scriptid、score 两列）
     * <p>
     * 原实现是每个问题查一次整行，而调用方只用到 score 算最高/最低分；
     * 问题 id 为 null 时原实现不拼 scriptid 条件（等于取该表全部分值），这里用 null 作为 key 存这一份。
     */
    private Map<Long, List<String>> loadTargetOptionScores(boolean voice, List<SatScriptRef> scriptRefs) {
        Map<Long, List<String>> optionScores = new HashMap<>();
        List<Long> scriptIds = scriptRefs.stream().map(SatScriptRef::getOptionScriptId)
                .filter(Objects::nonNull).distinct().collect(Collectors.toList());
        if (CollectionUtils.isNotEmpty(scriptIds)) {
            addTargetOptionScores(optionScores, voice
                    ? satisfactionScriptMapper.selectIvrTargetOptionScores(scriptIds)
                    : satisfactionScriptMapper.selectSvyTargetOptionScores(scriptIds));
        }
        if (scriptRefs.stream().anyMatch(ref -> ref.getOptionScriptId() == null)) {
            optionScores.put(null, collectTargetOptionScores(voice
                    ? satisfactionScriptMapper.selectIvrTargetOptionScores(null)
                    : satisfactionScriptMapper.selectSvyTargetOptionScores(null)));
        }
        return optionScores;
    }

    private void addTargetOptionScores(Map<Long, List<String>> optionScores,
                                      List<SatisfactionOptionScoreRow> rows) {
        if (CollectionUtils.isEmpty(rows)) return;
        for (SatisfactionOptionScoreRow row : rows) {
            Long scriptId = row.getScriptid();
            if (scriptId == null) continue;
            optionScores.computeIfAbsent(scriptId, key -> new ArrayList<>())
                    .add(row.getScore());
        }
    }

    private List<String> collectTargetOptionScores(List<SatisfactionOptionScoreRow> rows) {
        List<String> scores = new ArrayList<>();
        if (CollectionUtils.isEmpty(rows)) return scores;
        for (SatisfactionOptionScoreRow row : rows) {
            scores.add(row.getScore());
        }
        return scores;
    }

    /**
     * 各选项（matchedtext）数量及占比
     * <p>
     * 口径与原实现一致：分母是全部明细行数（含 matchedtext 为 null 的行）；
     * targetvalue 用于补全未出现的选项（count=0、ratio=0）。
     */
    private Map<String, Map<String, Object>> buildMatchedtextStats(List<MatchedtextCount> fillRows, long totalFill) {
        Map<String, Map<String, Object>> matchedtextStats = new HashMap<>();
        if (CollectionUtils.isEmpty(fillRows) || totalFill <= 0L) return matchedtextStats;

        Map<String, Long> matchedtextCounts = new LinkedHashMap<>();
        String targetvalue = null;
        for (MatchedtextCount row : fillRows) {
            if (row.getMatchedtext() != null) {
                matchedtextCounts.merge(row.getMatchedtext(), row.getCount(), Long::sum);
            }
            if (targetvalue == null && row.getTargetvalue() != null) {
                targetvalue = row.getTargetvalue();
            }
        }
        for (Map.Entry<String, Long> entry : matchedtextCounts.entrySet()) {
            Map<String, Object> stat = new HashMap<>();
            stat.put("count", entry.getValue());
            stat.put("ratio", new BigDecimal((double) entry.getValue() / totalFill * 100).setScale(1, RoundingMode.HALF_UP).doubleValue());
            matchedtextStats.put(entry.getKey(), stat);
        }
        // 从明细里取targetvalue（&分隔的当前问题的所有选项），补全未出现的选项，count和ratio均为0
        if (targetvalue != null) {
            for (String option : targetvalue.split("&")) {
                String optionTrim = option.trim();
                if (!matchedtextStats.containsKey(optionTrim)) {
                    Map<String, Object> emptyStat = new HashMap<>();
                    emptyStat.put("count", 0L);
                    emptyStat.put("ratio", 0.0);
                    matchedtextStats.put(optionTrim, emptyStat);
                }
            }
        }
        return matchedtextStats;
    }

    /**
     * 取填报明细行数（原 fillCount.size()）
     */
    private long countFillRowsByMatchedtext(List<MatchedtextCount> fillRows) {
        if (CollectionUtils.isEmpty(fillRows)) return 0L;
        long rows = 0L;
        for (MatchedtextCount row : fillRows) {
            rows += row.getCount();
        }
        return rows;
    }

    /**
     * 获取平均分（聚合版：分值与条数）
     * <p>
     * 分子为可解析分值之和，分母为明细行数（含分值为空的行）。
     */
    private Double averageScoreByMatchedtext(List<MatchedtextCount> fillRows) {
        if (CollectionUtils.isEmpty(fillRows)) return 0.0;
        double sum = 0.0;
        long rows = 0L;
        for (MatchedtextCount row : fillRows) {
            if (row.getCount() <= 0L) continue;
            rows += row.getCount();
            if (row.getScore() != null && !row.getScore().isEmpty()) {
                sum += Double.parseDouble(row.getScore()) * row.getCount();
            }
        }
        if (rows == 0L) return 0.0;
        return new BigDecimal(sum / rows).setScale(1, RoundingMode.HALF_UP).doubleValue();
    }

    /**
     * 获取最高分（聚合版，空列表返回 0.0）
     */
    private Double maxScoreOf(List<String> scores) {
        if (CollectionUtils.isEmpty(scores)) return 0.0;
        return scores.stream().filter(scoreStr -> scoreStr != null && !scoreStr.isEmpty())
                .mapToDouble(Double::parseDouble).max().orElse(0.0);
    }

    /**
     * 获取最低分（聚合版，口径同 {空列表返回 0.0）
     */
    private Double minScoreOf(List<String> scores) {
        if (CollectionUtils.isEmpty(scores)) return 0.0;
        return scores.stream().filter(scoreStr -> scoreStr != null && !scoreStr.isEmpty())
                .mapToDouble(Double::parseDouble).min().orElse(0.0);
    }

    /**
     * 满意度统计用的问题引用：模板id、选项表关联的问题id（可能为 null）、问题内容、维度
     */
    private static class SatScriptRef {
        private final Long templateId;
        private final Long optionScriptId;
        private final String scriptContent;
        private final String dimension;

        SatScriptRef(Long templateId, Long optionScriptId, String scriptContent, String dimension) {
            this.templateId = templateId;
            this.optionScriptId = optionScriptId;
            this.scriptContent = scriptContent;
            this.dimension = dimension;
        }

        Long getTemplateId() {
            return templateId;
        }

        Long getOptionScriptId() {
            return optionScriptId;
        }

        String getScriptContent() {
            return scriptContent;
        }

        String getDimension() {
            return dimension;
        }
    }

    /**
     * 满意度填报聚合结果：matchedtext + score + targetvalue + 条数
     */
    private static class MatchedtextCount {
        private final String matchedtext;
        private final String score;
        private final String targetvalue;
        private final long count;

        MatchedtextCount(String matchedtext, String score, String targetvalue, long count) {
            this.matchedtext = matchedtext;
            this.score = score;
            this.targetvalue = targetvalue;
            this.count = count;
        }

        String getMatchedtext() {
            return matchedtext;
        }

        String getScore() {
            return score;
        }

        String getTargetvalue() {
            return targetvalue;
        }

        long getCount() {
            return count;
        }
    }

    /**
     * 满意度填报聚合结果（按 matchedtext 版）
     * <p>
     * byTemplateQuestion：按 模板+问题 分组；
     * byTemplate：按模板分组（该模板全部问题），用于兼容原 queryFillCount 在
     * script_content 为 null 时不拼 questiontext 条件的行为。
     */
    private static class SatisfactionFillStatByMatchedtext {
        private final Map<String, List<MatchedtextCount>> byTemplateQuestion = new HashMap<>();
        private final Map<Long, List<MatchedtextCount>> byTemplate = new HashMap<>();

        void add(Long templateId, String questiontext, MatchedtextCount row) {
            byTemplate.computeIfAbsent(templateId, key -> new ArrayList<>()).add(row);
            if (questiontext != null) {
                byTemplateQuestion.computeIfAbsent(statKey(templateId, questiontext), key -> new ArrayList<>()).add(row);
            }
        }

        List<MatchedtextCount> get(Long templateId, String scriptContent) {
            if (templateId == null) return null;
            if (scriptContent == null) return byTemplate.get(templateId);
            return byTemplateQuestion.get(statKey(templateId, scriptContent));
        }
    }

    // ==================== 满意度模块化：查询对象构造 ====================
    // 原实现直接 new smartor 的实体当入参；模块化后统一用 SatisfactionScriptQuery，
    // 这里把三处构造收敛为帮助方法，条件与原来逐字对应。

    /**
     * 满意度分类查询（语音侧）。
     * <p>
     * ⚠️ <b>与原文一致：只传 orgid，<u>不传 type</u></b>。原实现是
     * <pre>
     * IvrLibaScriptAssort e = new IvrLibaScriptAssort();
     * e.setOrgid(reqVO.getOrgid());      // ← 只有 orgid
     * mapper.selectIvrLibaScriptAssortList(e);
     * </pre>
     * 分类的「是不是满意度(myd)」是在 <b>Java 侧</b>用
     * {@code item.getType().contains("myd")} 过滤的（见 {@link #statistics} /
     * {@link #satisfactionGraph}）。
     * <p>
     * 如果在这里顺手加上 {@code type="myd"}，SQL 就会多出一个
     * {@code type like '%myd%'} 条件 —— 而 MySQL 的 LIKE 默认<b>不区分大小写</b>，
     * 会比 Java 的 {@code contains("myd")} 多命中分类，导致统计结果出现差异。
     */
    private SatisfactionScriptQuery ivrCategoryQuery(PatSatisfactionReqVO reqVO) {
        SatisfactionScriptQuery q = new SatisfactionScriptQuery();
        q.setOrgid(reqVO.getOrgid());
        return q;
    }

    /** 满意度分类查询（问卷侧，同样只传 orgid，见 {@link #ivrCategoryQuery}） */
    private SatisfactionScriptQuery svyCategoryQuery(PatSatisfactionReqVO reqVO) {
        SatisfactionScriptQuery q = new SatisfactionScriptQuery();
        q.setOrgid(reqVO.getOrgid());
        return q;
    }

    /** 按语音分类 id 取问题 */
    private SatisfactionScriptQuery assortQuery(List<Long> scriptAssortids) {
        SatisfactionScriptQuery q = new SatisfactionScriptQuery();
        q.setScriptAssortids(scriptAssortids);
        return q;
    }

    /** 按问卷分类 id 取问题 */
    private SatisfactionScriptQuery categoryQuery(List<Long> scriptCategoryids) {
        SatisfactionScriptQuery q = new SatisfactionScriptQuery();
        q.setScriptCategoryids(scriptCategoryids);
        return q;
    }

    /** 按维度取问题（语音/问卷共用；两侧「dimensionList 为空时是否拼 dimension IS NOT NULL」的差异在 SQL 里保留） */
    private SatisfactionScriptQuery dimensionQuery(PatSatisfactionReqVO reqVO) {
        SatisfactionScriptQuery q = new SatisfactionScriptQuery();
        q.setDimensionList(reqVO.getDimensionList());
        return q;
    }

}