QFD2/QFD/common/DataEvaluator.cpp

#include "DataEvaluator.h"

#include <ProjectManager.h>
#include <SchemePlanManager.h>
#include <CMind.h>

#include "algorithm/EntropyWeights.h"
#include "algorithm/PCA.h"
#include "algorithm/HierarchicalAnalysis.h"

#include <dbService/ClassSet.h>
#include <dbService/NodeMatrixService.h>
#include <dbService/CNodeDataService.h>
#include <dbService/SchemeProcessService.h>
#include <dbService/UserConfigService.h>
#include <dbService/MindWeightService.h>
#include <dbService/MindScoreService.h>

#include <QMap>
#include <QDebug>

DataEvaluator::DataEvaluator(QObject *parent) : QObject(parent) { }

void DataEvaluator::setProcess(SchemePlanManager::SchemeProcessInfo process)
{
    m_process = process;
}

SchemePlanManager::SchemeProcessInfo DataEvaluator::process() const
{
    return m_process;
}

void DataEvaluator::setGatherType(DataEvaluator::GatherType type)
{
    m_gatherType = type;
}

DataEvaluator::GatherType DataEvaluator::gatherType() const
{
    return m_gatherType;
}

bool DataEvaluator::evaluate()
{
    if (m_process.type == SchemePlanManager::ImportWeightData) {
        if (m_process.dSource == SchemePlanManager::FromExpert) {
            return evaluateWeightFromExpert();
        } else if (m_process.dSource == SchemePlanManager::FromMeasurement) {
            return evaluateWeightFromMeasure();
        }
    } else if (m_process.type == SchemePlanManager::ImportEvalData) {
        if (m_process.indexType == ProjectManager::TechIndex) {
            return evaluateTech();
        } else if (m_process.indexType == ProjectManager::OptimalIndex) {
            return evaluateScheme();
        } else if (m_process.indexType == ProjectManager::EfficiencyIndex) {
            return evaluateEfficiencyMEA();
        }
    }

    return false;
}

bool DataEvaluator::evaluateWeightFromExpert()
{
    QMap<QString, QMap<QString, NodeMatrixInfo *>> nodeData;
    bool dataRet = getNodeData(nodeData);

    /// 权重分析专家导入数据, 使用层次分析法
    SchemePlanManager::Algorithm algorithm = SchemePlanManager::AHP;

    /// 获取指标体系
    QList<CNodeData> nodeList;
    bool mindRet = CNodeDataService().QueryAll(nodeList, m_process.projectId, m_process.indexType);
    CMind *mind  = new CMind(this);
    mind->setNodeList(nodeList);

    /// 获取专家配置
    QMap<QString, double> config;
    bool cfgRet = getUserConfig(config);

    if (!(dataRet && mindRet && cfgRet)) {
        return false;
    }

    QMap<QString, double> indexWeights;

    // 结果集结, 先计算各个专家的数据, 再取均值
    if (m_gatherType == Result) {
        QMap<QString, QMap<QString, double>> mWeights;

        for (QString expertId : nodeData.keys()) {
            for (int i = 1; i < mind->levels(); i++) {
                for (CNodeData node : mind->nodesInLevel(i)) {
                    QList<CNodeData> subNodes = mind->subNodes(node);
                    QVector<qreal> nxnValus;  // n x n矩阵
                    for (int j = 0; j < subNodes.size(); j++) {
                        QString abs = subNodes[j].name;
                        for (int k = 0; k < subNodes.size(); k++) {
                            QString ord = subNodes[k].name;
                            QString key = abs + "-" + ord;
                            double v;
                            QStringList nodeValue = nodeData[expertId][key]->nodeValue.split("/");
                            if (nodeValue.size() == 1) {
                                v = nodeValue[0].toDouble();
                            } else {
                                v = nodeValue[0].toDouble() / nodeValue[1].toDouble();
                            }
                            nxnValus.append(v);
                        }
                    }

                    // 计算权重并存储
                    QScopedPointer<HierarchicalAnalysis> ha(new HierarchicalAnalysis(subNodes.size(), nxnValus));
                    QVector<qreal> weights = ha->getWeights();

                    for (int l = 0; l < weights.size(); ++l) {
                        if (mWeights.keys().contains(expertId) == false) {
                            mWeights[expertId] = QMap<QString, double>();
                        }
                        CNodeData pNode = mind->node(subNodes[l].pNumber);
                        if (mWeights[expertId].keys().contains(pNode.name)) {
                            mWeights[expertId][subNodes[l].name] = mWeights[expertId][pNode.name] * weights[l];
                        } else {
                            mWeights[expertId][subNodes[l].name] = weights[l];
                        }
                    }
                }
            }
        }

        // 求平均权重
        for (int i = 1; i < mind->levels(); i++) {
            for (CNodeData node : mind->nodesInLevel(i)) {
                QList<CNodeData> subNodes = mind->subNodes(node);
                for (int j = 0; j < subNodes.size(); j++) {
                    double sum = 0;
                    for (QString expertId : nodeData.keys()) {
                        sum += mWeights[expertId][subNodes[j].name] * config[expertId];
                    }
                    indexWeights[subNodes[j].name] = sum / nodeData.keys().size();
                }
            }
        }
    } else {  // 矩阵集结, 先计算各个专家数据的均值, 在求权重
        // 求专家数据均值
        QMap<QString, double> avgNodeValue;
        for (QString key : nodeData.values().first().keys()) {
            double sum = 0;
            for (QString expertId : nodeData.keys()) {
                double v;
                QStringList nodeValue = nodeData[expertId][key]->nodeValue.split("/");
                if (nodeValue.size() == 1) {
                    v = nodeValue[0].toDouble();
                } else {
                    v = nodeValue[0].toDouble() / nodeValue[1].toDouble();
                }
                sum += v * config[expertId];
            }
            avgNodeValue[key] = sum / nodeData.keys().size();
        }

        // 求权重
        for (int i = 1; i < mind->levels(); i++) {
            for (CNodeData node : mind->nodesInLevel(i)) {
                QList<CNodeData> subNodes = mind->subNodes(node);
                QVector<qreal> nxnValus;  // n x n矩阵
                for (int j = 0; j < subNodes.size(); j++) {
                    QString abs = subNodes[j].name;
                    for (int k = 0; k < subNodes.size(); k++) {
                        QString ord = subNodes[k].name;
                        QString key = abs + "-" + ord;
                        nxnValus.append(avgNodeValue[key]);
                    }
                }

                // 计算权重并存储
                QScopedPointer<HierarchicalAnalysis> ha(new HierarchicalAnalysis(subNodes.size(), nxnValus));
                QVector<qreal> weights = ha->getWeights();

                for (int l = 0; l < weights.size(); ++l) {
                    CNodeData pNode = mind->node(subNodes[l].pNumber);
                    if (indexWeights.keys().contains(pNode.name)) {
                        indexWeights[subNodes[l].name] = indexWeights[pNode.name] * weights[l];
                    } else {
                        indexWeights[subNodes[l].name] = weights[l];
                    }
                }
            }
        }
    }

    QStringList valueList;
    for (QString key : indexWeights.keys()) {
        valueList.append(QString("%1:%2").arg(key).arg(indexWeights[key]));
    }
    QString valueStr = valueList.join(";");

    bool ret = MindWeightService().saveUniqueWeightData(m_process.projectId, m_process.indexType, m_process.dSource,
                                                        algorithm, valueStr);

    return ret;
}

bool DataEvaluator::evaluateWeightFromMeasure()
{
    QMap<QString, QMap<QString, NodeMatrixInfo *>> nodeData;
    bool dataRet = getNodeData(nodeData);

    SchemePlanManager::Algorithm algorithm;
    bool algRet = getAlgorithm(algorithm);

    /// 获取指标体系
    QList<CNodeData> nodeList;
    bool mindRet = CNodeDataService().QueryAll(nodeList, m_process.projectId, m_process.indexType);
    CMind *mind  = new CMind(this);
    mind->setNodeList(nodeList);

    if (!(dataRet && algRet && mindRet)) {
        return false;
    }

    /// 各个指标的权重值
    /// 外层 QString 是 uuid, 内层 QString 是指标名称, double 是指标权重
    QMap<QString, double> allWeights;

    if (algorithm == SchemePlanManager::Entropy) {  // 熵值法
        /// 根据指标体系层级, 构造算法需要的数据, 逐层计算权重值并保存
        for (int i = 1; i < mind->levels(); i++) {
            for (CNodeData node : mind->nodesInLevel(i)) {
                QList<CNodeData> subNodes = mind->subNodes(node);
                EntropyMat mat;
                for (int j = 0; j < subNodes.size(); j++) {
                    QVector<double> values;
                    for (QString uuid : nodeData.keys()) {
                        NodeMatrixInfo *info = nodeData[uuid][subNodes[j].name];
                        if (info == nullptr) {
                            break;
                        }
                        double value = nodeData[uuid][subNodes[j].name]->nodeValue.toDouble();
                        values.append(value);
                    }

                    mat.append({ values });
                }

                if (mat.size() <= 0) {
                    continue;
                }

                // 计算权重
                QScopedPointer<EntropyWeights> ew(new EntropyWeights(mat));
                QVector<double> weights, scores;
                ew->compute(weights, scores);

                // 结合父节点指标权重计算指标最终权重
                for (int k = 0; k < subNodes.size(); k++) {
                    double w = weights[k];
                    if (std::_Is_nan(w)) {
                        w = 1 / subNodes.size();
                    }

                    CNodeData pNode = mind->node(subNodes[k].pNumber);
                    if (allWeights.keys().contains(pNode.name)) {
                        allWeights[subNodes[k].name] = allWeights[pNode.name] * w;
                    } else {
                        allWeights[subNodes[k].name] = w;
                    }
                }
            }
        }
    } else if (algorithm == SchemePlanManager::PrincipalComponents) {  // 主成分分析法
        for (int i = 1; i < mind->levels(); i++) {
            for (CNodeData node : mind->nodesInLevel(i)) {
                QList<CNodeData> subNodes = mind->subNodes(node);
                QVector<QVector<double>> mat;
                for (QString uuid : nodeData.keys()) {
                    QVector<double> values;
                    for (int j = 0; j < subNodes.size(); j++) {
                        NodeMatrixInfo *info = nodeData[uuid][subNodes[j].name];
                        if (info == nullptr) {
                            break;
                        }
                        double value = nodeData[uuid][subNodes[j].name]->nodeValue.toDouble();
                        values.append(value);
                    }

                    mat.append({ values });
                }
                if (mat.size() <= 0) {
                    continue;
                }

                QScopedPointer<PCA> pca(new PCA(mat));
                pca->compute();
                // 结合父节点指标权重计算指标最终权重
                for (int k = 0; k < subNodes.size(); k++) {
                    double w = pca->weights()[k];
                    if (std::_Is_nan(w)) {
                        w = 1 / subNodes.size();
                    }

                    CNodeData pNode = mind->node(subNodes[k].pNumber);
                    if (allWeights.keys().contains(pNode.name)) {
                        allWeights[subNodes[k].name] = allWeights[pNode.name] * w;
                    } else {
                        allWeights[subNodes[k].name] = w;
                    }
                }
            }
        }
    }

    QStringList valueList;
    for (QString key : allWeights.keys()) {
        valueList.append(QString("%1:%2").arg(key).arg(allWeights[key]));
    }
    QString valueStr = valueList.join(";");

    bool ret = MindWeightService().saveUniqueWeightData(m_process.projectId, m_process.indexType, m_process.dSource,
                                                        algorithm, valueStr);

    return ret;
}

bool DataEvaluator::evaluateTech()
{
    QMap<QString, double> weightData;
    bool weightRet = getWeight(weightData);

    QMap<QString, QMap<QString, NodeMatrixInfo *>> nodeData;
    bool dataRet = getNodeData(nodeData);

    /// 获取指标体系
    QList<CNodeData> nodeList;
    bool mindRet = CNodeDataService().QueryAll(nodeList, m_process.projectId, m_process.indexType);
    CMind *mind  = new CMind(this);
    mind->setNodeList(nodeList);

    /// 获取权重配置
    QMap<QString, double> config;
    bool cfgRet = false;
    if (m_process.dSource == SchemePlanManager::FromExpert) {
        cfgRet = getUserConfig(config);
    } else {
        for (QString uuid : nodeData.keys()) {
            config[uuid] = 1.0 / nodeData.keys().size();
        }
        cfgRet = nodeData.size() > 0;
    }

    if (weightRet == false || dataRet == false || mindRet == false || nodeList.size() <= 0 || cfgRet == false) {
        qDebug() << __FUNCTION__ << __LINE__ << endl;
        return false;
    }

    QMap<QString, double> scoreData;
    for (int i = 1; i < mind->levels(); i++) {
        for (CNodeData node : mind->nodesInLevel(i)) {
            QList<CNodeData> subNodes = mind->subNodes(node);
            for (int j = 0; j < subNodes.size(); j++) {
                double score = 0;
                for (QString uuid : nodeData.keys()) {
                    for (QString weightKey : weightData.keys()) {
                        QString key = subNodes[j].name + "-" + weightKey;
                        if (nodeData[uuid].keys().contains(key)) {
                            score += nodeData[uuid][key]->nodeValue.toDouble() * weightData[weightKey] * config[uuid];
                        }
                    }
                }
                scoreData[subNodes[j].name] = score;
            }
        }
    }

    QStringList valueList;
    for (QString key : scoreData.keys()) {
        valueList.append(QString("%1:%2").arg(key).arg(scoreData[key]));
    }
    QString valueStr = valueList.join(";");
    bool ret         = MindScoreService().saveUniqueScoreData(m_process.projectId, valueStr);
    qDebug() << __FUNCTION__ << __LINE__ << valueStr << endl;

    return ret;
}

bool DataEvaluator::evaluateScheme()
{
    return false;
}

bool DataEvaluator::evaluateEfficiencyMEA()
{
    return false;
}

bool DataEvaluator::evaluateEfficiencyGCE()
{
    return false;
}

bool DataEvaluator::getNodeData(QMap<QString, QMap<QString, NodeMatrixInfo *>> &nodeData) const
{
    /// 整理数据, 使用 uuid 将数据分组, 使用指标名称索引
    QString indexName = ProjectManager::nameOfIndexType((ProjectManager::IndexType)m_process.indexType);
    QList<NodeMatrixInfo *> dataList;
    bool ret = NodeMatrixService().QueryDataByProjectAndIndex(&dataList, indexName, m_process.projectId,
                                                              m_process.dSource);
    if (ret == false) {
        return false;
    }

    if (dataList.size() <= 0) {
        qDebug() << __FUNCTION__ << __LINE__ << "未录入评估数据" << endl;
        return false;
    }

    for (NodeMatrixInfo *info : dataList) {
        QString key = info->strUuid;  // 实测数据的 key
        if (m_process.dSource == SchemePlanManager::FromExpert) {
            key = info->expertId;  // 专家数据的 key
        }

        if (nodeData.keys().contains(key) == false) {
            nodeData[key] = QMap<QString, NodeMatrixInfo *>();
        }
        nodeData[key][nodeDataKey(info)] = info;
    }
    return true;
}

bool DataEvaluator::getAlgorithm(SchemePlanManager::Algorithm &algorithm) const
{
    QList<SchemePlanManager::SchemeProcessInfo> processList;
    bool ret = SchemeProcessService().QueryAllByProjectIdAndIndexType(processList, m_process.projectId,
                                                                      m_process.indexType);
    if (ret == false) {
        return false;
    }
    for (auto process : processList) {
        if (process.type == SchemePlanManager::CalculateWeight) {
            algorithm = process.algorithm;
            break;
        }
    }

    if (m_process.type == SchemePlanManager::ImportWeightData) {
        if (m_process.dSource == SchemePlanManager::FromMeasurement && algorithm == SchemePlanManager::AHP) {
            algorithm == SchemePlanManager::Entropy;
        }
        if (m_process.dSource == SchemePlanManager::FromExpert) {
            algorithm == SchemePlanManager::AHP;
        }
    }

    return true;
}

bool DataEvaluator::getUserConfig(QMap<QString, double> &cfg) const
{
    QList<UserConfig *> userCfgList;
    bool ret = UserConfigService().QueryUserConfigListInfoByEngineerId(&userCfgList, m_process.projectId);
    if (ret == false) {
        return false;
    }

    for (UserConfig *config : userCfgList) {
        cfg[QString("%1").arg(config->userId)] = config->weight / 100;
    }
    return true;
}

bool DataEvaluator::getWeight(QMap<QString, double> &weight) const
{
    MindWeightInfo info;
    int indexType = m_process.indexType;
    if (indexType == ProjectManager::TechIndex) {
        indexType = ProjectManager::AbilityIndex;
    }
    bool ret = MindWeightService().queryWeightData(&info, m_process.projectId, indexType);
    if (ret == false) {
        return false;
    }

    if (info.id < 0) {
        qDebug() << __FUNCTION__ << __LINE__ << "未找到指标权重数据" << endl;
        return false;
    }

    QStringList weightList = info.weight.split(";");
    for (QString keyValueStr : weightList) {
        QStringList keyValue = keyValueStr.split(":");
        if (keyValue.size() == 2) {
            weight[keyValue.first()] = keyValue.last().toDouble();
        }
    }
    return true;
}

QString DataEvaluator::nodeDataKey(NodeMatrixInfo *data) const
{
    QString key = data->abscissa;
    if (data->ordinate.length() > 0) {
        key += ("-" + data->ordinate);
    }
    return key;
}