增加节点参数解析

xyc

2024-03-21 1673157eef1e2c240d7e7bbb2e62eb877d77f522

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

@@ -5,6 +5,7 @@
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.model.ProductImg;
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.*;
@@ -13,7 +14,17 @@
import org.springframework.stereotype.Service;
import com.zt.common.db.query.QueryFilter;
import org.springframework.transaction.annotation.Transactional;
import org.w3c.dom.Document;
import org.w3c.dom.Element;

import javax.xml.parsers.DocumentBuilder;
import javax.xml.parsers.DocumentBuilderFactory;
import javax.xml.transform.OutputKeys;
import javax.xml.transform.Transformer;
import javax.xml.transform.TransformerFactory;
import javax.xml.transform.dom.DOMSource;
import javax.xml.transform.stream.StreamResult;
import java.io.StringWriter;
import java.util.*;
import java.util.stream.Collectors;

@@ -91,13 +102,13 @@
        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 +117,62 @@
        List<ModelNode> modelNodeList = new ArrayList<>();
        List<ModelLine> modelLineList = new ArrayList<>();
        List<Algorithm> algorithmList = new ArrayList<>();
        List<ProductImg> productImgList = new ArrayList<>();

        // 1. 解析出节点与边
        getNodeAndLineFromRbd(modelId, rbdJsonArray, modelNodeList, modelLineList);
        getNodeAndLineFromRbd(modelRbd.getId(), rbdJsonArray, modelNodeList, modelLineList, productImgList);
        // 2. 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
        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);
        result = getAlgorithmFromRbd(modelRbd, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList, productImgList);

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

        // 6. 保存模型
        if (saveFlag) saveModel(modelRbd, modelNodeList, modelLineList, algorithmList, modelNodeAndVnodeList);

        return result;
    }

    private boolean getAlgorithmFromRbd(Long modelId,
    private boolean createIfXmlFromRbd(ModelRbd modelRbd,
                                       List<Algorithm> algorithmList,
                                       List<ModelNode> modelNodeAndVnodeList,
                                       List<ProductImg> productImgList) {
        boolean result = true;
        try {
            DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();
            DocumentBuilder builder = factory.newDocumentBuilder();
            Document doc = builder.newDocument();
            Element rootElement = doc.createElement("DES");
            doc.appendChild(rootElement);

            TransformerFactory tf = TransformerFactory.newInstance();
            Transformer transformer = tf.newTransformer();
            transformer.setOutputProperty(OutputKeys.INDENT, "yes");
            StringWriter writer = new StringWriter();
            transformer.transform(new DOMSource(doc), new StreamResult(writer));
            String xmlString = writer.getBuffer().toString();
            modelRbd.setIfXml(xmlString);
        } catch (Exception e) {
            e.printStackTrace();
            result = false;
        }

        return result;
    }

    private boolean getAlgorithmFromRbd(ModelRbd modelRbd,
                                     List<ModelNode> modelNodeList,
                                     List<ModelLine> modelLineList,
                                     List<Algorithm> algorithmList,
                                     List<ModelNode> modelNodeAndVnodeList) {
                                        List<ModelNode> modelNodeAndVnodeList,
                                        List<ProductImg> productImgList) {
        // 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 +190,12 @@
        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("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;
@@ -918,7 +963,8 @@
    private void getNodeAndLineFromRbd(Long modelId,
                                       JSONArray rbdJsonArray,
                                       List<ModelNode> modelNodeList,
                                       List<ModelLine> modelLineList) {
                                       List<ModelLine> modelLineList,
                                       List<ProductImg> productImgList) {
        for (int i = 0; i < rbdJsonArray.size(); i++) {
            JSONObject jsonObject = rbdJsonArray.getJSONObject(i);
            String shape = jsonObject.get("shape").toString();
@@ -938,11 +984,38 @@
                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()));
                Object voteNum = JsonUtils2.getJsonValueByPath(jsonObject, "data/voteNum".split("/"));
                if (voteNum!=null && StringUtils.isNotBlank(voteNum.toString())) {
                    modelNode.setVoteNum(Integer.valueOf(voteNum.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());

                    productImg.setDataId(dataId);
                    Object obj = JsonUtils2.getJsonValueByPath(jsonObject, "data/reliabDistribType".split("/"));
                    if (obj!=null && StringUtils.isNotBlank(obj.toString())) {
                        productImg.setReliabDistribType(Integer.valueOf(obj.toString()));
                    }
                    productImg.setTaskMtbcf(JsonUtils2.getJsonValueByPath(jsonObject, "data/taskMtbcf".split("/")).toString());
                    productImg.setTaskMtbcfOther(JsonUtils2.getJsonValueByPath(jsonObject, "data/taskMtbcfOther".split("/")).toString());
                    obj = JsonUtils2.getJsonValueByPath(jsonObject, "data/isRepair".split("/"));
                    if (obj!=null && StringUtils.isNotBlank(obj.toString())) {
                        productImg.setIsRepair(Integer.valueOf(obj.toString()));
                    }
                    if (1==productImg.getIsRepair()) {
                        obj = JsonUtils2.getJsonValueByPath(jsonObject, "data/repairDistribType".split("/"));
                        if (obj!=null && StringUtils.isNotBlank(obj.toString())) {
                            productImg.setRepairDistribType(Integer.valueOf(obj.toString()));
                        }
                        productImg.setRepairMttcr(JsonUtils2.getJsonValueByPath(jsonObject, "data/repairMttcr".split("/")).toString());
                        productImg.setRepairMttcrOther(JsonUtils2.getJsonValueByPath(jsonObject, "data/repairMttcrOther".split("/")).toString());
                    }
                    productImgList.add(productImg);
                }
                modelNodeList.add(modelNode);
            }
@@ -966,6 +1039,36 @@
    }
*/

    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
        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 +1304,6 @@
        }
        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============    */

}