修改模型解析功能

xyc

2024-07-17 7550a61793a9a0d789197ccef89fa042975cdac8

 modules/mainPart/src/main/java/com/zt/life/modules/mainPart/taskReliability/service/ModelLineService.java

@@ -5,15 +5,26 @@
import com.zt.common.service.BaseService;
import com.zt.common.utils.JsonUtils2;
import com.zt.common.utils.UUIDUtil;
import com.zt.life.modules.mainPart.basicInfo.dao.ParamDataDao;
import com.zt.life.modules.mainPart.basicInfo.dao.XhProductModelDao;
import com.zt.life.modules.mainPart.basicInfo.model.ParamData;
import com.zt.life.modules.mainPart.basicInfo.model.ProductImg;
import com.zt.life.modules.mainPart.basicInfo.model.XhProductModel;
import com.zt.life.modules.mainPart.taskReliability.dao.*;
import com.zt.life.modules.mainPart.taskReliability.dto.ModelLinePair;
import com.zt.life.modules.mainPart.taskReliability.model.*;
import org.apache.commons.lang3.StringUtils;
import org.dom4j.DocumentHelper;
import org.dom4j.Document;
import org.dom4j.Element;
import org.dom4j.io.OutputFormat;
import org.dom4j.io.XMLWriter;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import com.zt.common.db.query.QueryFilter;
import org.springframework.transaction.annotation.Transactional;

import java.io.StringWriter;
import java.util.*;
import java.util.stream.Collectors;

@@ -36,6 +47,10 @@
    private AlgorithmDao algorithmDao;
    @Autowired
    private ModelNodeAlgorithmDao modelNodeAlgorithmDao;
    @Autowired
    private XhProductModelDao xhProductModelDao;
    @Autowired
    private ParamDataDao paramDataDao;

    /**
     * 分页查询
@@ -74,6 +89,7 @@
        modelRbdDao.insert(modelRbd);
    }


    @Transactional(rollbackFor = Exception.class)
    public void update(ModelRbd modelRbd) {
        if (modelRbd==null) return;
@@ -91,13 +107,13 @@
        boolean result = true;
        if (modelRbd==null) return result;
        Long modelId = modelRbd.getId();
        result = analyzeRbd(modelId, modelRbd.getContent(), true);
        result = analyzeRbd(modelRbd, true);
        return result;
    }

    private boolean analyzeRbd(Long modelId, String content, boolean saveFlag) {
    private boolean analyzeRbd(ModelRbd modelRbd, boolean saveFlag) {
        boolean result = true;
        String rbdsonStr = content;
        String rbdsonStr = modelRbd.getContent();

        JSONArray rbdJsonArray = new JSONObject(rbdsonStr).getJSONArray("cells");
        if (rbdJsonArray == null) return result;
@@ -106,28 +122,206 @@
        List<ModelNode> modelNodeList = new ArrayList<>();
        List<ModelLine> modelLineList = new ArrayList<>();
        List<Algorithm> algorithmList = new ArrayList<>();
        List<ProductImg> productImgList = new ArrayList<>();    // 暂不使用（而使用数据库中的可靠性参数）

        // 1. 解析出节点与边
        getNodeAndLineFromRbd(modelId, rbdJsonArray, modelNodeList, modelLineList);
        // 2. 计算所有节点的入口线数及出口线数
        getNodeAndLineFromRbd(modelRbd.getId(), rbdJsonArray, modelNodeList, modelLineList, productImgList);
        // 2. 对于有多根入口线的产品节点，将其上的表决、旁联关系剥离成运算符节点，添加到该节点的前面，并添加相应的边
        peelOperationFromProductNode(modelRbd.getId(), modelNodeList, modelLineList);
        // 3. 计算所有节点的入口线数及出口线数
        calcInOutLineNumAllNode(modelNodeList, modelLineList);
        // 3. 复制产品节点(node)到list
        // 4. 复制产品节点(node)到list
        List<ModelNode> modelNodeAndVnodeList = modelNodeList.stream().filter(item ->
                "node".equals(item.getNodeType())).collect(Collectors.toList());
        // 4. 不断将基本模型（串联、并联、旁联、表决、桥联）替换为虚节点而简化图形，直至无法简化为止。
        result = getAlgorithmFromRbd(modelId, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList);
        // 5. 不断将基本模型（串联、并联、旁联、表决、桥联）替换为虚节点而简化图形，直至无法简化为止。
        result = getAlgorithmFromRbd(modelRbd, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList);

        // 5. 保存模型
        if (saveFlag) saveModel(modelId, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList);
        // 6. 转换为算法库接口XML
        if (result) {
//            result = createIfXmlFromRbd(modelRbd, algorithmList, modelNodeAndVnodeList);
        }

        // 7. 保存模型
        if (saveFlag) saveModel(modelRbd, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList);

        return result;
    }

    private boolean getAlgorithmFromRbd(Long modelId,
                                     List<ModelNode> modelNodeList,
                                     List<ModelLine> modelLineList,
                                     List<Algorithm> algorithmList,
                                     List<ModelNode> modelNodeAndVnodeList) {
    private void peelOperationFromProductNode(Long modelId,
                                              List<ModelNode> modelNodeList,
                                              List<ModelLine> modelLineList) {
        List<ModelNode> nodesToAdd = new ArrayList<>();
        List<ModelLine> linesToAdd = new ArrayList<>();
        for (ModelNode node: modelNodeList) {
            List<ModelLine> inLineList = modelLineList.stream().filter(item ->
                    item.getEndCell().equals(node.getPicId())).collect(Collectors.toList());
            if ("node".equals(node.getNodeType()) &&
                    StringUtils.isNotBlank(node.getNodeTypeExt()) &&
                    inLineList.size() > 1) {
                // 旁联or表决
                ModelNode nodeNew =  new ModelNode();
                Long nodeNewId = UUIDUtil.generateId();
                nodeNew.setId(nodeNewId);
                nodeNew.setPicId(nodeNewId.toString());
                nodeNew.setModelId(modelId);
                nodeNew.setNodeType(node.getNodeTypeExt());
                nodeNew.setName(node.getNodeTypeExt());
                nodeNew.setVoteNum(node.getVoteNum());
                nodeNew.setPositionX(node.getPositionX());
                nodeNew.setPositionY(node.getPositionY());
                nodesToAdd.add(nodeNew);

                ModelLine lineNew = new ModelLine();
                Long lineNewId = UUIDUtil.generateId();
                lineNew.setId(lineNewId);
                lineNew.setPicId(lineNewId.toString());
                lineNew.setModelId(modelId);
                lineNew.setBeginCell(nodeNewId.toString());
                lineNew.setEndCell(node.getPicId());
                linesToAdd.add(lineNew);

                for(ModelLine line: inLineList){
                    line.setEndCell(nodeNewId.toString());
                }
            }
        }
        modelNodeList.addAll(nodesToAdd);
        modelLineList.addAll(linesToAdd);
    }

    private boolean createIfXmlFromRbd(ModelRbd modelRbd,
                                       List<Algorithm> algorithmList,
                                       List<ModelNode> modelNodeAndVnodeList) {
        boolean result = true;

        try {
            Document document = DocumentHelper.createDocument();
            // 添加root节点
            Element root = document.addElement("DES");
            root.addAttribute("Name", "A System");
            // 添加terminal节点到root1
            Element terminal = root.addElement("Node");
            terminal.addAttribute("Name", "Terminal");
            terminal.addAttribute("Type", "NODE");

            // 将模型转换为DOM，添加到root
            Algorithm endAlgo = algorithmList.stream().filter(item ->
                    "end".equals(item.getAlgorithmType())).collect(Collectors.toList()).get(0);
            ModelNode computerNode = modelNodeAndVnodeList.stream().filter(item ->
                    endAlgo.getComputerList().equals(item.getId().toString())).collect(Collectors.toList()).get(0);
            node2DOM(algorithmList, modelNodeAndVnodeList, computerNode, root);

            // 添加start节点到root
            Element start = root.addElement("Node");
            start.addAttribute("Name", "Start");
            start.addAttribute("Type", "NODE");
            // 添加link（路径）到root
            Element link = root.addElement("Link");
            Element block = link.addElement("Block");
            block.addAttribute("Name", "Terminal");
            block = link.addElement("Block");
            block.addAttribute("Name", computerNode.getId().toString());
            block = link.addElement("Block");
            block.addAttribute("Name", "Start");

//            document.setXMLEncoding("UTF-8");
//            String xmlString = document.asXML();
            // 输出格式化xml
            XMLWriter xmlWriter = null;
            try {
                OutputFormat format = OutputFormat.createPrettyPrint();
                format.setEncoding("UTF-8");
                StringWriter writer = new StringWriter();
                xmlWriter = new XMLWriter(writer, format);
                xmlWriter.write(document);
                modelRbd.setPublishedXml(writer.toString());
            } finally {
                if (xmlWriter!=null) xmlWriter.close();
            }
        } catch (Exception e) {
            e.printStackTrace();
            result = false;
        }

        return result;
    }

    // 递归函数
    private void node2DOM(List<Algorithm> algorithmList,
                          List<ModelNode> modelNodeAndVnodeList,
                          ModelNode node,
                          Element parent) {
        if ("node".equals(node.getNodeType())) {
            Long dataId = node.getDataId();
            XhProductModel xhProductModel = xhProductModelDao.getById(dataId);
            if (xhProductModel == null) return;
            if ("5".equals(xhProductModel.getProductType())) {
                // 设备
                ParamData paramData = paramDataDao.getParamData(dataId, "expect");
                if (paramData == null) return;
                Element element = parent.addElement("Node");
                element.addAttribute("Name", dataId.toString());
                element.addAttribute("Type", "NODE");
                Element failureTag = element.addElement("Failure");
                failureTag.addAttribute("Dist", "EXP"); // TODO:需设为具体的分布
                Element argsTag = failureTag.addElement("Args");
                Double value = new Double(paramData.getTaskMtbcfRegulate());
                value = 1.0/value;
                argsTag.addAttribute("value", value.toString());
                if (1==paramData.getRepairable()) {
                    Element repairTag = element.addElement("Repair");
                    repairTag.addAttribute("Dist", "EXP"); // TODO:需设为具体的分布
                    argsTag = repairTag.addElement("Args");
                    value = new Double(paramData.getRepairMttcr());
                    value = 1.0/value;
                    argsTag.addAttribute("value", value.toString());
                    Element repairTimeLimitTag = element.addElement("RepairTimeLimit");
                    repairTimeLimitTag.setText(String.valueOf(paramData.getRepairMttcr()));
                }
            } else if ("10".equals(xhProductModel.getProductType())) {
                // 虚单位
                ModelRbd rbdXDY = modelRbdDao.getDiagramOfXDY(dataId);
                if (rbdXDY == null) return;
                List<Algorithm> algorithmListXDY = algorithmDao.getListByModelId(rbdXDY.getId());
                List<ModelNode> modelNodeAndVnodeListXDY =modelNodeAlgorithmDao.getListByModelId(rbdXDY.getId());
                Algorithm endAlgo = algorithmListXDY.stream().filter(item ->
                        "end".equals(item.getAlgorithmType())).collect(Collectors.toList()).get(0);
                ModelNode computerNode = modelNodeAndVnodeListXDY.stream().filter(item ->
                        endAlgo.getComputerList().equals(item.getId().toString())).collect(Collectors.toList()).get(0);
                node2DOM(algorithmListXDY, modelNodeAndVnodeListXDY, computerNode, parent);
            }
        } else {
            // vnode（运算节点）
            Algorithm algo = algorithmList.stream().filter(item ->
                    node.getId().equals(item.getId())).collect(Collectors.toList()).get(0);
            Element element = parent.addElement("Logic");
            element.addAttribute("Name", algo.getId().toString());
            if ("series".equals(algo.getAlgorithmType())) {
                element.addAttribute("Type", "SERIES");
            } else if ("parallel".equals(algo.getAlgorithmType())) {
                element.addAttribute("Type", "PARALLEL");
            } else if ("vote".equals(algo.getAlgorithmType())) {
                element.addAttribute("Type", "VOTE");
                element.addAttribute("VoteValue", algo.getVoteNum().toString());
            } else if ("switch".equals(algo.getAlgorithmType())) {
                element.addAttribute("Type", "STANDBY");
            } else if ("bridge".equals(algo.getAlgorithmType())) {
                element.addAttribute("Type", "BRIDGE");
            }
            String[] computerNodeListStr = algo.getComputerList().split(",");
            for (String nodeStr : computerNodeListStr) {
                ModelNode nd = modelNodeAndVnodeList.stream().filter(item ->
                        nodeStr.equals(item.getId().toString())).collect(Collectors.toList()).get(0);
                node2DOM(algorithmList, modelNodeAndVnodeList, nd, element);
            }
        }
    }

    private boolean getAlgorithmFromRbd(ModelRbd modelRbd,
                                        List<ModelNode> modelNodeList,
                                        List<ModelLine> modelLineList,
                                        List<Algorithm> algorithmList,
                                        List<ModelNode> modelNodeAndVnodeList) {
        // 根据以下的构图规则来进行算法分解：
        // 1、节点的定义
        // 1-1) 运算节点：共2个：旁联、表决，且运算节点需放在被运算节点的右侧。
@@ -145,12 +339,13 @@
        boolean hasSimplified = false; // 至少简化了一处图形
        do {
            hasSimplified = false;
            hasSimplified = simplifySeries(modelId, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            hasSimplified = simplifyParallel(modelId, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            hasSimplified = simplifyOperator("switch", modelId, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            hasSimplified = simplifyOperator("vote", modelId, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            hasSimplified = simplifyBridge(modelId, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            isEnd = simplifyEnd(modelId, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList);
            hasSimplified = simplifySeries(modelRbd.getId(), modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
//            hasSimplified = simplifyParallel(modelRbd.getId(), modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            hasSimplified = simplifyOperator("parallel", modelRbd.getId(), modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            hasSimplified = simplifyOperator("switch", modelRbd.getId(), modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            hasSimplified = simplifyOperator("vote", modelRbd.getId(), modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            hasSimplified = simplifyBridge(modelRbd.getId(), modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, hasSimplified);
            isEnd = simplifyEnd(modelRbd.getId(), modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList);
        } while (!isEnd && hasSimplified);

        return isEnd;
@@ -229,7 +424,7 @@
            if (result.size()<2) continue;

            ModelNode endNode = result.get(result.size()-1);
            if ("start,switch,vote".contains(endNode.getNodeType()) || endNode.getOutLineNum()!=1) {
            if ("start,parallel,switch,vote,bridge".contains(endNode.getNodeType()) || endNode.getOutLineNum()!=1) {
                result.remove(endNode);
            }
            List<ModelNode> realSeriesNodes = result.stream().filter(item ->
@@ -493,12 +688,37 @@
                                List<ModelNode> result) {
        ModelLine inLine = modelLineList.stream().filter(item ->
                item.getEndCell().equals(startNode.getPicId())).collect(Collectors.toList()).get(0);
        ModelNode pathNode = modelNodeList.stream().filter(item ->
                inLine.getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        if (isBridgeUpperLine(inLine, modelLineList) || isBridgeLowerLine(inLine, modelLineList)) return;
        List<ModelNode> nodes = modelNodeList.stream().filter(item ->
                inLine.getBeginCell().equals(item.getPicId())).collect(Collectors.toList());
        if (0==nodes.size()) return;    // 到桥联中间节点的线的起点不是Node，而是Line，所以获取的起点数可能为0
        ModelNode pathNode = nodes.get(0);
        result.add(pathNode);
        if (pathNode.getOutLineNum()!=1 || pathNode.getInLineNum()!=1) return;
        if ("switch,vote".contains(pathNode.getNodeType())) return;
        if ("parallel,switch,vote,bridge".contains(pathNode.getNodeType())) return;
        seekPathSeries(modelNodeList, modelLineList, pathNode, result);
    }

    private boolean isBridgeUpperLine(ModelLine line, List<ModelLine> modelLineList) {
        boolean result = false;
        for (ModelLine ln : modelLineList) {
            if (ln.getBeginCell().equals(line.getPicId())) {
                result = true;
                break;
            }
        }
        return result;
    }

    private boolean isBridgeLowerLine(ModelLine line, List<ModelLine> modelLineList) {
        boolean result = false;
        for (ModelLine ln : modelLineList) {
            if (ln.getEndCell().equals(line.getPicId())) {
                result = true;
                break;
            }
        }
        return result;
    }

    private boolean simplifyParallel(Long modelId,
@@ -547,6 +767,7 @@
                ModelNode endNode = getBranchNodesOneParallel(pathOneGroup, branchNodeList);
                if ("connect".equals(startNode.getNodeType()) && pathOneGroup.size()==lines.size()) {
                    // 替换成虚节点
                    modelNodeAndVnodeList.add(startNode);
                    replaceToVnode("parallel", modelId, modelNodeList, modelLineList,
                            algorithmList, modelNodeAndVnodeList, startNode, endNode, branchNodeList);
                } else {
@@ -636,7 +857,7 @@
                                   boolean hasSimplified) {
        boolean hasSimplifiedMe = false;
        List<ModelNode> startNodes = modelNodeList.stream().filter(item ->
                "node,vnode,connect,end".contains(item.getNodeType())).collect(Collectors.toList());
                "bridge".equals(item.getNodeType())).collect(Collectors.toList());
        if (startNodes.size()==0) return hasSimplified;

        for (ModelNode startNode : startNodes) {
@@ -669,6 +890,9 @@
        ModelNode node3 = null;
        ModelNode node4 = null;
        ModelNode node5 = null;
        ModelLine line1To2 = null;
        ModelLine line4To5 = null;
/*
        ModelNode nodeTmp1 = modelNodeList.stream().filter(item ->
                linePair.getLine1().getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        ModelNode nodeTmp2 = modelNodeList.stream().filter(item ->
@@ -733,6 +957,79 @@
                lineTo4.getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        if (!nodeTmp1.getId().equals(nodeTmp2.getId())) return false;
        ModelNode endNode = nodeTmp1;
*/
        ModelNode nodeTmp1 = modelNodeList.stream().filter(item ->
                linePair.getLine1().getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        ModelNode nodeTmp2 = modelNodeList.stream().filter(item ->
                linePair.getLine2().getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        if (nodeTmp1.getInLineNum()!=1 || nodeTmp1.getOutLineNum()!=1) return false;
        if (nodeTmp2.getInLineNum()!=1 || nodeTmp2.getOutLineNum()!=1) return false;
        ModelNode finalNode = nodeTmp1;
        ModelLine lineToNodeTmp1 = modelLineList.stream().filter(item ->
                item.getEndCell().equals(finalNode.getPicId())).collect(Collectors.toList()).get(0);
        ModelNode finalNode1 = nodeTmp2;
        ModelLine lineToNodeTmp2 = modelLineList.stream().filter(item ->
                item.getEndCell().equals(finalNode1.getPicId())).collect(Collectors.toList()).get(0);
        ModelNode nodeTmp3 = modelNodeList.stream().filter(item ->
                lineToNodeTmp1.getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        ModelNode nodeTmp4 = modelNodeList.stream().filter(item ->
                lineToNodeTmp2.getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        if (nodeTmp3.getId().equals(nodeTmp4.getId())) return false;
        boolean isBridgeUpperLine1 = isBridgeUpperLine(lineToNodeTmp1, modelLineList);
        boolean isBridgeUpperLine2 = isBridgeUpperLine(lineToNodeTmp2, modelLineList);
        if (!isBridgeUpperLine1 && !isBridgeUpperLine2) return false;
        if (isBridgeUpperLine1 && isBridgeUpperLine2) return false;
        boolean isBridgeLowerLine1 = isBridgeLowerLine(lineToNodeTmp1, modelLineList);
        boolean isBridgeLowerLine2 = isBridgeLowerLine(lineToNodeTmp2, modelLineList);
        if (!isBridgeLowerLine1 && !isBridgeLowerLine2) return false;
        if (isBridgeLowerLine1 && isBridgeLowerLine2) return false;
        if (isBridgeUpperLine1) {
            line1To2 = lineToNodeTmp1;
            line4To5 = lineToNodeTmp2;
            node2 = nodeTmp1;
            node5 = nodeTmp2;
        } else {
            line1To2 = lineToNodeTmp2;
            line4To5 = lineToNodeTmp1;
            node2 = nodeTmp2;
            node5 = nodeTmp1;
        }
        ModelLine finalLine = line1To2;
        ModelLine lineTo3 = modelLineList.stream().filter(item ->
                item.getBeginCell().equals(finalLine.getPicId())).collect(Collectors.toList()).get(0);
        ModelLine finalLine1 = line4To5;
        ModelLine lineFrom3 = modelLineList.stream().filter(item ->
                item.getEndCell().equals(finalLine1.getPicId())).collect(Collectors.toList()).get(0);
        ModelLine finalLine2 = lineTo3;
        ModelNode node3Candidate1 = modelNodeList.stream().filter(item ->
                finalLine2.getEndCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        ModelLine finalLine3 = lineFrom3;
        ModelNode node3Candidate2 = modelNodeList.stream().filter(item ->
                finalLine3.getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        if (!node3Candidate1.getId().equals(node3Candidate2.getId())) return false;
        node3 = node3Candidate1;
        if (node3.getInLineNum()!=1 || node3.getOutLineNum()!=1) return false;
        ModelLine finalLine4 = line1To2;
        node1 = modelNodeList.stream().filter(item ->
                finalLine4.getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        if (node1.getInLineNum()!=1 || node1.getOutLineNum()!=1) return false;
        ModelLine finalLine5 = line4To5;
        node4 = modelNodeList.stream().filter(item ->
                finalLine5.getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        if (node4.getInLineNum()!=1 || node4.getOutLineNum()!=1) return false;
        ModelNode finalNode3 = node1;
        ModelLine lineTo1 = modelLineList.stream().filter(item ->
                item.getEndCell().equals(finalNode3.getPicId())).collect(Collectors.toList()).get(0);
        ModelNode finalNode4 = node4;
        ModelLine lineTo4 = modelLineList.stream().filter(item ->
                item.getEndCell().equals(finalNode4.getPicId())).collect(Collectors.toList()).get(0);
        nodeTmp1 = modelNodeList.stream().filter(item ->
                lineTo1.getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        nodeTmp2 = modelNodeList.stream().filter(item ->
                lineTo4.getBeginCell().equals(item.getPicId())).collect(Collectors.toList()).get(0);
        if (!nodeTmp1.getId().equals(nodeTmp2.getId())) return false;
        ModelNode endNode = nodeTmp1;

        List<ModelNode> branchNodeList = new ArrayList<>();
        branchNodeList.add(node1);
        branchNodeList.add(node2);
@@ -740,8 +1037,14 @@
        branchNodeList.add(node4);
        branchNodeList.add(node5);

        modelNodeAndVnodeList.add(startNode);
        replaceToVnode("bridge", modelId, modelNodeList, modelLineList,
                algorithmList, modelNodeAndVnodeList, startNode, endNode, branchNodeList);

/*
        if ("connect".equals(startNode.getNodeType()) && startNode.getInLineNum()==2) {
            // 替换成虚节点
            modelNodeAndVnodeList.add(startNode);
            replaceToVnode("bridge", modelId, modelNodeList, modelLineList,
                    algorithmList, modelNodeAndVnodeList, startNode, endNode, branchNodeList);
        } else {
@@ -771,6 +1074,7 @@
                    algorithmList, modelNodeAndVnodeList, vnode, endNode, branchNodeList);
            calcInOutLineNum(startNode, modelLineList);
        }
*/

        return true;
    }
@@ -837,6 +1141,7 @@
                }
            }
            if (thisNodeSuccess) {
                modelNodeAndVnodeList.add(opNode);
                replaceToVnode(opNode.getNodeType(), modelId, modelNodeList, modelLineList,
                        algorithmList, modelNodeAndVnodeList, opNode, endNode, branchNodeList);
                hasSimplified = true;
@@ -866,6 +1171,7 @@
        algorithm.setAlgorithmType(type);
        algorithm.setComputerList(computerList.get(0));
        algorithm.setObjectList(computerList.get(1));
        if ("vote".equals(type)) algorithm.setVoteNum(startNode.getVoteNum());
        algorithm.setStep(algorithmList.size()==0 ? 0 : algorithmList.get(algorithmList.size()-1).getStep()+1);
        algorithmList.add(algorithm);

@@ -918,7 +1224,9 @@
    private void getNodeAndLineFromRbd(Long modelId,
                                       JSONArray rbdJsonArray,
                                       List<ModelNode> modelNodeList,
                                       List<ModelLine> modelLineList) {
                                       List<ModelLine> modelLineList,
                                       List<ProductImg> productImgList) {
        Object jsonValue = null;
        for (int i = 0; i < rbdJsonArray.size(); i++) {
            JSONObject jsonObject = rbdJsonArray.getJSONObject(i);
            String shape = jsonObject.get("shape").toString();
@@ -938,11 +1246,52 @@
                modelNode.setNodeType(JsonUtils2.getJsonValueByPath(jsonObject, "data/nodeType".split("/")).toString());
                modelNode.setPositionX(Double.valueOf(JsonUtils2.getJsonValueByPath(jsonObject, "position/x".split("/")).toString()));
                modelNode.setPositionY(Double.valueOf(JsonUtils2.getJsonValueByPath(jsonObject, "position/y".split("/")).toString()));
                jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/voteNum".split("/"));
                if (jsonValue!=null && StringUtils.isNotBlank(jsonValue.toString())) {
                    modelNode.setVoteNum(Integer.valueOf(jsonValue.toString()));
                }
                if ("node".equals(modelNode.getNodeType())) {
                    modelNode.setDataId(Long.valueOf(JsonUtils2.getJsonValueByPath(jsonObject, "data/dataId".split("/")).toString()));
                    ProductImg productImg = new ProductImg();
                    String dataId = JsonUtils2.getJsonValueByPath(jsonObject, "data/dataId".split("/")).toString();
                    modelNode.setDataId(Long.valueOf(dataId));
                    modelNode.setNodeTypeExt(JsonUtils2.getJsonValueByPath(jsonObject, "data/nodeTypeExt".split("/")).toString());
                    Object name = JsonUtils2.getJsonValueByPath(jsonObject, "attrs/text/text".split("/"));
                    modelNode.setName(name==null ? "" : name.toString());
                    jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "attrs/text/text".split("/"));
                    modelNode.setName(jsonValue==null ? "" : jsonValue.toString());

                    productImg.setDataId(dataId);
                    String productType = JsonUtils2.getJsonValueByPath(jsonObject, "data/productType".split("/")).toString();
                    productImg.setProductType(productType);
                    if ("product_sb".equals(productType)) {
                        jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/reliabDistribType".split("/"));
                        if (jsonValue != null && StringUtils.isNotBlank(jsonValue.toString())) {
                            productImg.setReliabDistribType(Integer.valueOf(jsonValue.toString()));
                        }
                        jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/taskMtbcf".split("/"));
                        if (null != jsonValue) productImg.setTaskMtbcf(jsonValue.toString());
                        jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/taskMtbcfOtherParams2".split("/"));
                        if (null != jsonValue) productImg.setTaskMtbcfOtherParams2(jsonValue.toString());
                        jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/taskMtbcfOtherParams3".split("/"));
                        if (null != jsonValue) productImg.setTaskMtbcfOtherParams3(jsonValue.toString());
                        jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/isRepair".split("/"));
                        if (jsonValue != null && StringUtils.isNotBlank(jsonValue.toString()) && !"null".equals(jsonValue.toString())) {
                            productImg.setIsRepair(Integer.valueOf(jsonValue.toString()));
                        } else {
                            productImg.setIsRepair(0);
                        }
                        if (1 == productImg.getIsRepair()) {
                            jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/repairDistribType".split("/"));
                            if (jsonValue != null && StringUtils.isNotBlank(jsonValue.toString())) {
                                productImg.setRepairDistribType(Integer.valueOf(jsonValue.toString()));
                            }
                            jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/repairMttcr".split("/"));
                            if (null != jsonValue) productImg.setRepairMttcr(jsonValue.toString());
                            jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/repairMttcrOtherParams2".split("/"));
                            if (null != jsonValue) productImg.setRepairMttcrOtherParams2(jsonValue.toString());
                            jsonValue = JsonUtils2.getJsonValueByPath(jsonObject, "data/repairMttcrOtherParams3".split("/"));
                            if (null != jsonValue) productImg.setRepairMttcrOtherParams3(jsonValue.toString());
                        }
                    }
                    productImgList.add(productImg);
                }
                modelNodeList.add(modelNode);
            }
@@ -966,6 +1315,37 @@
    }
*/

    private void saveModel(ModelRbd modelRbd,
                           List<ModelNode> modelNodeList,
                           List<ModelLine> modelLineList,
                           List<Algorithm> algoList,
                           List<ModelNode> modelNodeAndVnodeList) {
        // 删除既有数据
        modelNodeDao.deleteByModelId(modelRbd.getId());
        modelLineDao.deleteByModelId(modelRbd.getId());
        algorithmDao.deleteByModelId(modelRbd.getId());
        modelNodeAlgorithmDao.deleteByModelId(modelRbd.getId());

        // 插入数据
        for (ModelNode modelNode : modelNodeList) {
            modelNodeDao.insert(modelNode);
        }
        for (ModelLine modelLine : modelLineList) {
            modelLineDao.insert(modelLine);
        }
        for (Algorithm algorithm : algoList) {
            algorithmDao.insert(algorithm);
        }
        for (ModelNode modelNode : modelNodeAndVnodeList) {
            modelNodeAlgorithmDao.insert(ModelNodeAlgorithm.from(modelNode));
        }

        // 更新RBD数据
        modelRbd.setPublishedContent(modelRbd.getContent());
        modelRbdDao.updateById(modelRbd);
    }

/*  ============解析模型的第1版，已不使用============
    private void analyzeRbdAndSave(Long modelId, String content, boolean saveFlag) {
        String diagramJsonStr = content;
//        String diagramJsonStr = "{\"cells\":[{\"shape\":\"edge\",\"attrs\":{\"line\":{\"stroke\":\"#5F95FF\"}},\"id\":\"26d1a5a6-0be8-4890-86a0-a33d429e6673\",\"labels\":[{\"attrs\":{\"body\":{\"stroke\":\"#5F95FF\"},\"text\":{\"text\":\"\"}},\"position\":{\"distance\":0.5,\"angle\":180,\"options\":{\"keepGradient\":true,\"ensureLegibility\":true}}}],\"zIndex\":0,\"source\":{\"cell\":\"f91765b1-af48-4396-84ba-eb16e3476aa5\",\"port\":\"839cb2d9-59ca-4a39-a63c-26bf60cc6989\"},\"target\":{\"cell\":\"31585e99-58c7-4a98-8824-8000743b364d\",\"port\":\"01eb49d9-4b1c-466f-8263-935542436c7e\"}},{\"shape\":\"edge\",\"attrs\":{\"line\":{\"stroke\":\"#5F95FF\"}},\"id\":\"f2286e46-84c7-4702-8670-d7cda22c34e5\",\"labels\":[{\"attrs\":{\"body\":{\"stroke\":\"#5F95FF\"},\"text\":{\"text\":\"\"}},\"position\":{\"distance\":0.5,\"angle\":180,\"options\":{\"keepGradient\":true,\"ensureLegibility\":true}}}],\"zIndex\":0,\"source\":{\"cell\":\"f91765b1-af48-4396-84ba-eb16e3476aa5\",\"port\":\"839cb2d9-59ca-4a39-a63c-26bf60cc6989\"},\"target\":{\"cell\":\"5123ad82-18bb-46fe-9d93-138b24b54a15\",\"port\":\"01eb49d9-4b1c-466f-8263-935542436c7e\"}},{\"shape\":\"edge\",\"attrs\":{\"line\":{\"stroke\":\"#5F95FF\"}},\"id\":\"2ab8b7f8-7fe2-490f-89c5-4250d4a62a78\",\"labels\":[{\"attrs\":{\"body\":{\"stroke\":\"#5F95FF\"},\"text\":{\"text\":\"\"}},\"position\":{\"distance\":0.5,\"angle\":180,\"options\":{\"keepGradient\":true,\"ensureLegibility\":true}}}],\"zIndex\":0,\"source\":{\"cell\":\"31585e99-58c7-4a98-8824-8000743b364d\",\"port\":\"a977d555-b8c8-4578-9a8b-3097c405c1a8\"},\"target\":{\"cell\":\"6df9adc8-cb83-405c-8482-633db0f3644f\",\"port\":\"f93ccd2f-dedd-47b1-9ad0-9be20c5db8a4\"}},{\"shape\":\"edge\",\"attrs\":{\"line\":{\"stroke\":\"#5F95FF\"}},\"id\":\"700c05a5-f151-4b28-8135-705ccf013522\",\"labels\":[{\"attrs\":{\"body\":{\"stroke\":\"#5F95FF\"},\"text\":{\"text\":\"\"}},\"position\":{\"distance\":0.5,\"angle\":180,\"options\":{\"keepGradient\":true,\"ensureLegibility\":true}}}],\"zIndex\":0,\"source\":{\"cell\":\"5123ad82-18bb-46fe-9d93-138b24b54a15\",\"port\":\"a977d555-b8c8-4578-9a8b-3097c405c1a8\"},\"target\":{\"cell\":\"6df9adc8-cb83-405c-8482-633db0f3644f\",\"port\":\"f93ccd2f-dedd-47b1-9ad0-9be20c5db8a4\"}},{\"shape\":\"edge\",\"attrs\":{\"line\":{\"stroke\":\"#5F95FF\"}},\"id\":\"feef2a57-3c72-4d69-92a6-c828c736b61a\",\"labels\":[{\"attrs\":{\"body\":{\"stroke\":\"#5F95FF\"},\"text\":{\"text\":\"\"}},\"position\":{\"distance\":0.5,\"angle\":180,\"options\":{\"keepGradient\":true,\"ensureLegibility\":true}}}],\"zIndex\":0,\"source\":{\"cell\":\"6df9adc8-cb83-405c-8482-633db0f3644f\",\"port\":\"80d3bd61-1ed3-493a-b4e8-d4576e6fbfda\"},\"target\":{\"cell\":\"da634b2e-5ffc-4e1b-a636-f86ace9eb082\",\"port\":\"01eb49d9-4b1c-466f-8263-935542436c7e\"}},{\"shape\":\"edge\",\"attrs\":{\"line\":{\"stroke\":\"#5F95FF\"}},\"id\":\"49e36d6f-6a94-4edc-9894-6dd825091706\",\"labels\":[{\"attrs\":{\"body\":{\"stroke\":\"#5F95FF\"},\"text\":{\"text\":\"\"}},\"position\":{\"distance\":0.5,\"angle\":180,\"options\":{\"keepGradient\":true,\"ensureLegibility\":true}}}],\"zIndex\":0,\"source\":{\"cell\":\"f91765b1-af48-4396-84ba-eb16e3476aa5\",\"port\":\"839cb2d9-59ca-4a39-a63c-26bf60cc6989\"},\"target\":{\"cell\":\"2b6df966-4e19-4055-bb13-c4c083b18e58\",\"port\":\"01eb49d9-4b1c-466f-8263-935542436c7e\"}},{\"shape\":\"edge\",\"attrs\":{\"line\":{\"stroke\":\"#5F95FF\"}},\"id\":\"ed8c1bfa-c0a6-4e9b-8697-862aef109bcf\",\"labels\":[{\"attrs\":{\"body\":{\"stroke\":\"#5F95FF\"},\"text\":{\"text\":\"\"}},\"position\":{\"distance\":0.5,\"angle\":180,\"options\":{\"keepGradient\":true,\"ensureLegibility\":true}}}],\"zIndex\":0,\"source\":{\"cell\":\"f91765b1-af48-4396-84ba-eb16e3476aa5\",\"port\":\"839cb2d9-59ca-4a39-a63c-26bf60cc6989\"},\"target\":{\"cell\":\"323f5abe-05ed-419d-9d81-d25c7d3b19f3\",\"port\":\"01eb49d9-4b1c-466f-8263-935542436c7e\"}},{\"shape\":\"edge\",\"attrs\":{\"line\":{\"stroke\":\"#5F95FF\"}},\"id\":\"70c6b5fb-1b48-4a2f-bacd-be0284134818\",\"labels\":[{\"attrs\":{\"body\":{\"stroke\":\"#5F95FF\"},\"text\":{\"text\":\"\"}},\"position\":{\"distance\":0.5,\"angle\":180,\"options\":{\"keepGradient\":true,\"ensureLegibility\":true}}}],\"zIndex\":0,\"source\":{\"cell\":\"2b6df966-4e19-4055-bb13-c4c083b18e58\",\"port\":\"a977d555-b8c8-4578-9a8b-3097c405c1a8\"},\"target\":{\"cell\":\"1f378f5e-066d-49bb-a6cc-de24a8882d65\",\"port\":\"01eb49d9-4b1c-466f-8263-935542436c7e\"}},{\"shape\":\"edge\",\"attrs\":{\"line\":{\"stroke\":\"#5F95FF\"}},\"id\":\"6a134969-623b-428e-9b0c-436bae2d6608\",\"labels\":[{\"attrs\":{\"body\":{\"stroke\":\"#5F95FF\"},\"text\":{\"text\":\"\"}},\"position\":{\"distance\":0.5,\"angle\":180,\"options\":{\"keepGradient\":true,\"ensureLegibility\":true}}}],\"zIndex\":0,\"source\":{\"cell\":\"323f5abe-05ed-419d-9d81-d25c7d3b19f3\",\"port\":\"a977d555-b8c8-4578-9a8b-3097c405c1a8\"},\"target\":{\"cell\":\"1f378f5e-066d-49bb-a6cc-de24a8882d65\",\"port\":\"01eb49d9-4b1c-466f-8263-935542436c7e\"}},{\"shape\":\"edge\",\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@@ -1201,31 +1581,6 @@
        }
        return result;
    }

    private void saveModel(Long modelId,
                           List<ModelNode> modelNodeList,
                           List<ModelLine> modelLineList,
                           List<Algorithm> algoList,
                           List<ModelNode> modelNodeAndVnodeList) {
        // 删除既有数据
        modelNodeDao.deleteByModelId(modelId);
        modelLineDao.deleteByModelId(modelId);
        algorithmDao.deleteByModelId(modelId);
        modelNodeAlgorithmDao.deleteByModelId(modelId);

        // 插入数据
        for (ModelNode modelNode : modelNodeList) {
            modelNodeDao.insert(modelNode);
        }
        for (ModelLine modelLine : modelLineList) {
            modelLineDao.insert(modelLine);
        }
        for (Algorithm algorithm : algoList) {
            algorithmDao.insert(algorithm);
        }
        for (ModelNode modelNode : modelNodeAndVnodeList) {
            modelNodeAlgorithmDao.insert(ModelNodeAlgorithm.from(modelNode));
        }
    }
============解析模型的第1版，已不使用============    */

}