图谱完成

pom.xml

@@ -10,7 +10,7 @@
 
     <name>ruoyi</name>
     <url>http://www.ruoyi.vip</url>
-    <description>若依管理系统</description>
+    <description>管理系统</description>
 
     <properties>
         <ruoyi.version>3.8.3</ruoyi.version>

ruoyi-admin/src/main/java/com/ruoyi/task/SyncData.java

@@ -31,4 +31,8 @@ public class SyncData {
         }
     }
 
+    public void mysqlToMongo(){
+
+    }
+
 }

ruoyi-admin/src/main/java/com/ruoyi/web/core/config/SwaggerConfig.java

@@ -113,7 +113,7 @@ public class SwaggerConfig
         // 用ApiInfoBuilder进行定制
         return new ApiInfoBuilder()
                 // 设置标题
-                .title("标题：若依管理系统_接口文档")
+                .title("标题：管理系统_接口文档")
                 // 描述
                 .description("描述：用于管理集团旗下公司的人员信息,具体包括XXX,XXX模块...")
                 // 作者信息

ruoyi-admin/src/main/resources/application.yml

@@ -89,7 +89,7 @@ token:
     # 令牌密钥
     secret: abcdefghijklmnopqrstuvwxyz
     # 令牌有效期（默认30分钟）
-    expireTime: 30
+    expireTime: 1440
 
 # MyBatis配置
 mybatis:

ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/controller/DocInfoController.java

@@ -1,5 +1,6 @@
 package com.ruoyi.biemo.business.controller;
 
+import com.alibaba.fastjson.JSONObject;
 import com.ruoyi.biemo.business.domain.DocInfo;
 import com.ruoyi.biemo.business.service.DocInfoService;
 import com.ruoyi.biemo.core.page.Page;
@@ -88,8 +89,8 @@ public class DocInfoController extends BaseController {
         return AjaxResult.success();
     }
 
-    @PostMapping("/analysis")
-    public AjaxResult analysis(String id){
+    @GetMapping("/analysis/{id}")
+    public AjaxResult analysis(@PathVariable String id){
         return AjaxResult.success(docInfoService.analysis(id));
     }
 }

ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/domain/DocInfo.java

@@ -35,6 +35,8 @@ public class DocInfo implements Serializable {
   private String author;
   @FieldInfo(type = "keyword",participle = 0)
   private String source;
+  @FieldInfo(type = "keyword",participle = 0)
+  private String url;
   @FieldInfo(type = "long",participle = 0)
   private Long click;
   @FieldInfo(type = "keyword",participle = 0)

ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/domain/Node.java

@@ -0,0 +1,38 @@
+package com.ruoyi.biemo.business.domain;
+
+import java.util.List;
+import java.util.Map;
+
+//节点类
+public class Node {
+    private String id;
+    private List<String> labels;
+    private Map<String,Object> properties;
+
+    public Node() {
+    }
+
+    public String getId() {
+        return id;
+    }
+
+    public void setId(String id) {
+        this.id = id;
+    }
+
+    public List<String> getLabels() {
+        return labels;
+    }
+
+    public void setLabels(List<String> labels) {
+        this.labels = labels;
+    }
+
+    public Map<String, Object> getProperties() {
+        return properties;
+    }
+
+    public void setProperties(Map<String, Object> properties) {
+        this.properties = properties;
+    }
+}

ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/domain/Relationship.java

@@ -0,0 +1,54 @@
+package com.ruoyi.biemo.business.domain;
+
+import java.util.Map;
+
+public class Relationship {
+    private String id;
+    private String type;
+    private String startNode;
+    private String endNode;
+    private Map<String,Object> properties;
+
+    public Relationship() {
+    }
+
+    public String getId() {
+        return id;
+    }
+
+    public void setId(String id) {
+        this.id = id;
+    }
+
+    public String getType() {
+        return type;
+    }
+
+    public void setType(String type) {
+        this.type = type;
+    }
+
+    public String getStartNode() {
+        return startNode;
+    }
+
+    public void setStartNode(String startNode) {
+        this.startNode = startNode;
+    }
+
+    public String getEndNode() {
+        return endNode;
+    }
+
+    public void setEndNode(String endNode) {
+        this.endNode = endNode;
+    }
+
+    public Map<String, Object> getProperties() {
+        return properties;
+    }
+
+    public void setProperties(Map<String, Object> properties) {
+        this.properties = properties;
+    }
+}

ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/response/MyResultResponse.java

@@ -0,0 +1,80 @@
+package com.ruoyi.biemo.business.response;
+
+import com.ruoyi.biemo.business.domain.Node;
+import com.ruoyi.biemo.business.domain.Relationship;
+
+import java.util.List;
+
+public class MyResultResponse {
+
+    private List<Datas> results;
+    private List<String> errors;
+
+    public List<String> getErrors() {
+        return errors;
+    }
+
+    public void setErrors(List<String> errors) {
+        this.errors = errors;
+    }
+
+    public List<Datas> getResults() {
+        return results;
+    }
+
+    public void setResults(List<Datas> results) {
+        this.results = results;
+    }
+
+     public static class Datas{
+        private List<String> columns;
+        private List<Data> data;
+
+        public List<String> getColumns() {
+            return columns;
+        }
+
+        public void setColumns(List<String> columns) {
+            this.columns = columns;
+        }
+
+        public List<Data> getData() {
+            return data;
+        }
+
+        public void setData(List<Data> data) {
+            this.data = data;
+        }
+    }
+    public static class Data{
+        private Graph graph;
+
+        public Graph getGraph() {
+            return graph;
+        }
+
+        public void setGraph(Graph graph) {
+            this.graph = graph;
+        }
+    }
+   public static class Graph{
+        private List<Node> nodes;
+        private List<Relationship> relationships;
+
+        public List<Node> getNodes() {
+            return nodes;
+        }
+
+        public void setNodes(List<Node> nodes) {
+            this.nodes = nodes;
+        }
+
+        public List<Relationship> getRelationships() {
+            return relationships;
+        }
+
+        public void setRelationships(List<Relationship> relationships) {
+            this.relationships = relationships;
+        }
+    }
+}

ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/service/DocInfoService.java

@@ -1,14 +1,18 @@
 package com.ruoyi.biemo.business.service;
 
+import com.alibaba.fastjson.JSONObject;
 import com.github.pagehelper.util.StringUtil;
 import com.ruoyi.biemo.business.domain.DocInfo;
-import com.ruoyi.biemo.business.domain.event.CategoryDeleteEvent;
-import com.ruoyi.biemo.business.domain.event.CategorySaveEvent;
+import com.ruoyi.biemo.business.domain.Node;
+import com.ruoyi.biemo.business.domain.Relationship;
 import com.ruoyi.biemo.business.domain.event.DocInfoDeleteEvent;
 import com.ruoyi.biemo.business.domain.event.DocInfoSaveEvent;
+import com.ruoyi.biemo.business.response.MyResultResponse;
 import com.ruoyi.biemo.core.page.Page;
 import com.ruoyi.biemo.elasticsearch.util.EsService;
 import com.ruoyi.biemo.mongodb.utils.MongoHelper;
+import com.ruoyi.biemo.nlp.DependencyParserUtils;
+import com.ruoyi.biemo.utils.MyObjects;
 import com.ruoyi.common.utils.StringUtils;
 import org.elasticsearch.search.SearchHit;
 import org.elasticsearch.search.builder.SearchSourceBuilder;
@@ -19,10 +23,8 @@ import org.springframework.context.ApplicationEvent;
 import org.springframework.context.event.EventListener;
 import org.springframework.stereotype.Service;
 
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.List;
-import java.util.Objects;
+import java.util.*;
+import java.util.concurrent.atomic.AtomicInteger;
 import java.util.stream.Collectors;
 
 /**
@@ -152,13 +154,118 @@ public class DocInfoService extends EsService<DocInfo> {
     }
 
 
-    public String analysis(String id) {
+    public MyResultResponse analysis(String id) {
         if(StringUtils.isBlank(id)){
             return null;
         }
+        MyResultResponse response = null;
         DocInfo docInfo = this.selectDocInfoById(id);
+        String grapData = docInfo.getParserGraphData();
+        if(StringUtils.isNotBlank(grapData)){
+             response = JSONObject.parseObject(grapData,MyResultResponse.class);
+            if(response!=null){
+                return response;
+            }
+        }
         String content  = docInfo.getContent();
+        List<Node> nodes = new ArrayList<>();
+        List<Relationship> relationships = new ArrayList<>();
+        //拆句
+        if(StringUtils.isNotBlank(content)){
+            content = MyObjects.delHTMLTag(content);
+            content = MyObjects.delSpace(content);
+            String regx = "\n|!|\\.|\\。|\\;|\\；|\\！|\\,|\\，|\\、|\\@|\\#|\\$|\\￥|\\%|\\&|\\*|\\(|\\)|\\=|\\+|\\-|\\_|\\>|\\<|\\[|\\]|\\【|\\】|\\？|\\?|”|\\\"";
+            String [] strArr = content.split(regx);
+            Set<String> allRelations = getAllRelations(strArr);
+            int i = 1;
+            Map<String,String> nodesMap = getAllNodes(allRelations);
+
+               if(allRelations!=null&&allRelations.size()>0){
+                   for (String relation : allRelations) {
+                       String[] nrn = StringUtils.isNotBlank(relation)?relation.split(","):null;
+                       if(nrn==null||nrn.length<3){
+                           continue;
+                       }
+                       String nodeName1 = nrn[0];
+                       String relationName = nrn[1];
+                       String nodeName2 = nrn[2];
+                       Node node1 =  new Node();
+                       node1.setId(nodesMap.get(nodeName1));
+                       node1.setLabels(new ArrayList<String>(){{add(nodeName1);}});
+                       node1.setProperties(new HashMap<String,Object>(){{put("name",nodeName1);put("email","9094908@qq.com");}});
+                       Node node2 =  new Node();
+                       node2.setId(nodesMap.get(nodeName2));
+                       node2.setLabels(new ArrayList<String>(){{add(nodeName2);}});
+                       node2.setProperties(new HashMap<String,Object>(){{put("name",nodeName2);put("email","9094908@qq.com");}});
+                       nodes.add(node1);
+                       nodes.add(node2);
+                       Relationship relationship = new Relationship();
+                       relationship.setId(String.valueOf(i++));
+                       relationship.setType(relationName);
+                       relationship.setStartNode(node1.getId());
+                       relationship.setEndNode(node2.getId());
+                       relationship.setProperties(new HashMap<String,Object>(){{put("source",nodeName1);put("relation",relationName);put("target",nodeName2);}});
+                       relationships.add(relationship);
+                   }
+               }
+        }
+        response = returnResponse(nodes,relationships);
+        docInfo.setParserGraphData(JSONObject.toJSONString(response));
+        docInfo.setStatus(1);
+        insertOrUpdateDocInfo(docInfo);
+        return response;
+    }
+
+    private Map<String, String> getAllNodes(Set<String> allRelations) {
+        Map<String,String> result = new HashMap<>();
+        Set<String> nodeSets = new HashSet<>();
+        if(allRelations!=null&&allRelations.size()>0){
+            allRelations.forEach(relation->{
+                String[] nrn = StringUtils.isNotBlank(relation)?relation.split(","):null;
+                if(nrn!=null&&nrn.length==3){
+                    nodeSets.add(nrn[0]);
+                    nodeSets.add(nrn[2]);
+                }
+            });
+        }
+        AtomicInteger i = new AtomicInteger(0);
+        if(nodeSets!=null&&nodeSets.size()>0){
+            nodeSets.forEach(set->{
+                result.put(set, String.valueOf(i.getAndIncrement()));
+            });
+        }
+        return result;
+    }
+
+
+    private Set<String> getAllRelations(String[] strArr) {
+        Set<String> allRelations = new HashSet<>();
+        if(strArr!=null&&strArr.length>0){
+            for(String text : strArr) {
+                Set<String> relations = DependencyParserUtils.analysis(text);
+                allRelations.addAll(relations);
+            }
+        }
+        return allRelations;
+    }
 
-        return null;
+    public MyResultResponse  returnResponse(List<Node> nodes,List<Relationship> relationships) {
+        MyResultResponse response = new MyResultResponse();
+        List<MyResultResponse.Datas> datass = new ArrayList<>();
+        MyResultResponse.Datas datas = new MyResultResponse.Datas();
+        List<MyResultResponse.Data> dataList = new ArrayList<>();
+        MyResultResponse.Data data = new MyResultResponse.Data();
+        MyResultResponse.Graph graph = new MyResultResponse.Graph();
+        graph.setNodes(nodes);
+        graph.setRelationships(relationships);
+        data.setGraph(graph);
+        dataList.add(data);
+        datas.setColumns(new ArrayList<String>(){{add("user");add("entity");}});
+        datas.setData(dataList);
+        datass.add(datas);
+        response.setResults(datass);
+        response.setErrors(new ArrayList<>());
+        System.out.println(JSONObject.toJSONString(response));
+        return response;
     }
 }

ruoyi-biemo/src/main/java/com/ruoyi/biemo/elasticsearch/config/EsRestClientConfiguration.java

@@ -1,74 +0,0 @@
-package com.ruoyi.biemo.elasticsearch.config;
-
-import org.apache.http.HttpHost;
-import org.elasticsearch.client.RestClient;
-import org.elasticsearch.client.RestClientBuilder;
-import org.elasticsearch.client.RestHighLevelClient;
-import org.springframework.beans.factory.annotation.Value;
-import org.springframework.context.annotation.Bean;
-import org.springframework.context.annotation.Configuration;
-
-import java.util.ArrayList;
-import java.util.List;
-
-@Configuration
-public class EsRestClientConfiguration {
-    /** 协议 */
-    @Value("${elasticsearch.schema:http}")
-    private String schema;
-
-    /** 集群地址，如果有多个用“,”隔开 */
-    @Value("${elasticsearch.address}")
-    private String address;
-
-    /** 连接超时时间 */
-    @Value("${elasticsearch.connectTimeout}")
-    private int connectTimeout;
-
-    /** Socket 连接超时时间 */
-    @Value("${elasticsearch.socketTimeout}")
-    private int socketTimeout;
-
-    /** 获取连接的超时时间 */
-    @Value("${elasticsearch.connectionRequestTimeout}")
-    private int connectionRequestTimeout;
-
-    /** 最大连接数 */
-    @Value("${elasticsearch.maxConnectNum}")
-    private int maxConnectNum;
-
-    /** 最大路由连接数 */
-    @Value("${elasticsearch.maxConnectPerRoute}")
-    private int maxConnectPerRoute;
-
-    @Bean(name = "restHighLevelClient")
-    public RestHighLevelClient restHighLevelClient(){
-        List<HttpHost> hostList = new ArrayList<>();
-        String[] addressArray = address.split(",");
-        for (String address : addressArray) {
-            String host = address.split(":")[0];
-            Integer port = Integer.parseInt(address.split(":")[1]);
-            hostList.add(new HttpHost(host, port, schema));
-        }
-
-        HttpHost[] httpPosts = hostList.toArray(new HttpHost[]{});
-        RestClientBuilder builder = RestClient.builder(httpPosts);
-
-        // 异步连接延时配置
-        builder.setRequestConfigCallback(requestConfigBuilder -> {
-            requestConfigBuilder.setConnectTimeout(connectTimeout);
-            requestConfigBuilder.setSocketTimeout(socketTimeout);
-            requestConfigBuilder.setConnectionRequestTimeout(connectionRequestTimeout);
-            return requestConfigBuilder;
-        });
-
-        // 异步连接数配置
-        builder.setHttpClientConfigCallback(httpClientBuilder -> {
-            httpClientBuilder.setMaxConnTotal(maxConnectNum);
-            httpClientBuilder.setMaxConnPerRoute(maxConnectPerRoute);
-            return httpClientBuilder;
-        });
-
-        return new RestHighLevelClient(builder);
-    }
-}

ruoyi-biemo/src/main/java/com/ruoyi/biemo/elasticsearch/entity/ElasticsearchMonitorProperties.java

@@ -0,0 +1,95 @@
+package com.ruoyi.biemo.elasticsearch.entity;
+
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.context.annotation.Configuration;
+
+@Configuration
+public class ElasticsearchMonitorProperties {
+
+    /** 协议 */
+    @Value("${elasticsearch.schema:http}")
+    private String schema;
+
+    /** 集群地址，如果有多个用“,”隔开 */
+    @Value("${elasticsearch.address}")
+    private String address;
+
+    /** 连接超时时间 */
+    @Value("${elasticsearch.connectTimeout}")
+    private int connectTimeout;
+
+    /** Socket 连接超时时间 */
+    @Value("${elasticsearch.socketTimeout}")
+    private int socketTimeout;
+
+    /** 获取连接的超时时间 */
+    @Value("${elasticsearch.connectionRequestTimeout}")
+    private int connectionRequestTimeout;
+
+    /** 最大连接数 */
+    @Value("${elasticsearch.maxConnectNum}")
+    private int maxConnectNum;
+
+    /** 最大路由连接数 */
+    @Value("${elasticsearch.maxConnectPerRoute}")
+    private int maxConnectPerRoute;
+
+    public ElasticsearchMonitorProperties() {
+    }
+
+    public String getSchema() {
+        return schema;
+    }
+
+    public void setSchema(String schema) {
+        this.schema = schema;
+    }
+
+    public String getAddress() {
+        return address;
+    }
+
+    public void setAddress(String address) {
+        this.address = address;
+    }
+
+    public int getConnectTimeout() {
+        return connectTimeout;
+    }
+
+    public void setConnectTimeout(int connectTimeout) {
+        this.connectTimeout = connectTimeout;
+    }
+
+    public int getSocketTimeout() {
+        return socketTimeout;
+    }
+
+    public void setSocketTimeout(int socketTimeout) {
+        this.socketTimeout = socketTimeout;
+    }
+
+    public int getConnectionRequestTimeout() {
+        return connectionRequestTimeout;
+    }
+
+    public void setConnectionRequestTimeout(int connectionRequestTimeout) {
+        this.connectionRequestTimeout = connectionRequestTimeout;
+    }
+
+    public int getMaxConnectNum() {
+        return maxConnectNum;
+    }
+
+    public void setMaxConnectNum(int maxConnectNum) {
+        this.maxConnectNum = maxConnectNum;
+    }
+
+    public int getMaxConnectPerRoute() {
+        return maxConnectPerRoute;
+    }
+
+    public void setMaxConnectPerRoute(int maxConnectPerRoute) {
+        this.maxConnectPerRoute = maxConnectPerRoute;
+    }
+}

ruoyi-biemo/src/main/java/com/ruoyi/biemo/elasticsearch/util/ElasticSearchPoolUtil.java

@@ -0,0 +1,75 @@
+package com.ruoyi.biemo.elasticsearch.util;
+
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.pool2.impl.GenericObjectPool;
+import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
+import org.elasticsearch.client.RestHighLevelClient;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+import javax.annotation.PostConstruct;
+
+/**
+ * ElasticSearch 连接池工具类
+ */
+@Slf4j
+@Component
+public class ElasticSearchPoolUtil{
+    @Autowired
+    ElasticsearchClientPoolFactory esClientPoolFactory;
+
+    private static GenericObjectPool<RestHighLevelClient> clientPool;
+
+    private static GenericObjectPoolConfig poolConfig = new GenericObjectPoolConfig();
+
+    static {
+        poolConfig.setMaxIdle(200);
+        poolConfig.setMaxTotal(50);
+        poolConfig.setMinEvictableIdleTimeMillis(1000L*3L);
+    }
+
+    @PostConstruct
+    public void init() {
+        // 对象池配置类，不写也可以，采用默认配置
+        // 利用对象工厂类和配置类生成对象池
+        clientPool = new GenericObjectPool<>(esClientPoolFactory, poolConfig);
+    }
+
+    /**
+     * 获得对象
+     *
+     * @return
+     * @throws Exception
+     */
+    public static RestHighLevelClient getClient() throws Exception {
+        // 从池中取一个对象
+        RestHighLevelClient client = clientPool.borrowObject();
+        return client;
+    }
+
+    /**
+     * 归还对象
+     *
+     * @param client
+     */
+    public static void returnClient(RestHighLevelClient client) {
+        // 使用完毕之后，归还对象
+        clientPool.returnObject(client);
+    }
+
+    /**
+     * 销毁对象
+     *
+     * @param client
+     */
+    public static void destroyClient(RestHighLevelClient client) {
+        try {
+            // 发生异常之后，销毁对象
+            clientPool.invalidateObject(client);
+        } catch (Exception e) {
+            log.error("ElasticSearchPoolUtil.destroyClient error:", e);
+        }
+    }
+}
+
+

ruoyi-biemo/src/main/java/com/ruoyi/biemo/elasticsearch/util/ElasticsearchClientPoolFactory.java

@@ -0,0 +1,90 @@
+package com.ruoyi.biemo.elasticsearch.util;
+
+import com.ruoyi.biemo.elasticsearch.entity.ElasticsearchMonitorProperties;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.pool2.PooledObject;
+import org.apache.commons.pool2.PooledObjectFactory;
+import org.apache.commons.pool2.impl.DefaultPooledObject;
+import org.apache.http.HttpHost;
+import org.elasticsearch.client.RestClient;
+import org.elasticsearch.client.RestClientBuilder;
+import org.elasticsearch.client.RestHighLevelClient;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+import java.time.Duration;
+
+/**
+ * EliasticSearch连接池工厂对象
+ *
+ */
+@Slf4j
+@Component
+public class ElasticsearchClientPoolFactory implements PooledObjectFactory<RestHighLevelClient> {
+    @Autowired
+    private ElasticsearchMonitorProperties esProperties;
+
+    @Override
+    public void activateObject(PooledObject<RestHighLevelClient> arg0) throws Exception {
+
+    }
+
+    /**
+     * 销毁对象
+     */
+    @Override
+    public void destroyObject(PooledObject<RestHighLevelClient> pooledObject) throws Exception {
+        RestHighLevelClient highLevelClient = pooledObject.getObject();
+        highLevelClient.close();
+    }
+
+    /**
+     * 生产对象
+     */
+    @Override
+    public PooledObject<RestHighLevelClient> makeObject() {
+        RestHighLevelClient restHighLevelClient = null;
+        try {
+            String[] urlArr = esProperties.getAddress().split(",");
+            HttpHost[] httpPostArr = new HttpHost[urlArr.length];
+            for (int i = 0; i < urlArr.length; i++) {
+                HttpHost httpHost = new HttpHost(urlArr[i].split(":")[0].trim(),
+                        Integer.parseInt(urlArr[i].split(":")[1].trim()), "http");
+                httpPostArr[i] = httpHost;
+            }
+            RestClientBuilder builder = RestClient.builder(httpPostArr);
+
+            // 异步httpclient连接延时配置
+            builder.setRequestConfigCallback(requestConfigBuilder -> {
+                requestConfigBuilder.setConnectTimeout(esProperties.getConnectTimeout());
+                requestConfigBuilder.setSocketTimeout(esProperties.getSocketTimeout());
+                requestConfigBuilder.setConnectionRequestTimeout(esProperties.getConnectionRequestTimeout());
+                return requestConfigBuilder;
+            });
+
+            // 异步httpclient连接数配置
+            builder.setHttpClientConfigCallback(httpClientBuilder -> {
+                httpClientBuilder.setMaxConnTotal(esProperties.getMaxConnectNum());
+                httpClientBuilder.setMaxConnPerRoute(esProperties.getMaxConnectPerRoute());
+                // httpclient保活策略
+                httpClientBuilder.setKeepAliveStrategy(((response, context) -> Duration.ofMinutes(5).toMillis()));
+                return httpClientBuilder;
+            });
+            restHighLevelClient = new RestHighLevelClient(builder);
+        } catch (Exception e) {
+            log.error("ElasticsearchClientPoolFactory.makeObject error:", e);
+        }
+        return new DefaultPooledObject<RestHighLevelClient>(restHighLevelClient);
+    }
+
+    @Override
+    public void passivateObject(PooledObject<RestHighLevelClient> arg0) throws Exception {
+    }
+
+    @Override
+    public boolean validateObject(PooledObject<RestHighLevelClient> arg0) {
+        return true;
+    }
+}
+
+

ruoyi-biemo/src/main/java/com/ruoyi/biemo/elasticsearch/util/EsService.java

@@ -73,9 +73,7 @@ public abstract class EsService<T> {
     int BATCH_LOAD_SIZE = 200;
     // ES 滚动查询 有效时间 与 scroll查询有关
     TimeValue SCROLL_TIME =  TimeValue.timeValueMinutes(1);
-    @Qualifier("restHighLevelClient")
-    @Autowired
-    private RestHighLevelClient client;
+
 
     private String index;
 
@@ -133,7 +131,9 @@ public abstract class EsService<T> {
      * @param clazz    索引类型
      */
     public  boolean createIndexAndCreateMapping( Class clazz, boolean rebuild, int number_of_shards, int number_of_replicas) {
+        RestHighLevelClient client = null;
         try{
+            client = ElasticSearchPoolUtil.getClient();
             if (indexExist()) {
                 if(rebuild){
                     AcknowledgedResponse deleteIndexResponse = client.indices().delete(new DeleteIndexRequest(index), RequestOptions.DEFAULT);
@@ -151,7 +151,9 @@ public abstract class EsService<T> {
                 return createIndexAndCreateMapping(index,ElasticSearchUtils.getFieldInfo(clazz), number_of_shards, number_of_replicas);
             }
         }catch (Exception e){
-            return false;
+            throw new RuntimeException();
+        }finally {
+            ElasticSearchPoolUtil.returnClient(client);
         }
     }
 
@@ -168,6 +170,7 @@ public abstract class EsService<T> {
      */
     public boolean createIndexAndCreateMapping(String index, List<FieldMapping> fieldMappingList, int number_of_shards, int number_of_replicas) {
         XContentBuilder mapping = null;
+        RestHighLevelClient client = null;
         try {
             mapping = XContentFactory.jsonBuilder()
                     .startObject()
@@ -253,27 +256,35 @@ public abstract class EsService<T> {
             createIndexRequest.settings(createSettings(number_of_shards,number_of_replicas));
             // 构建对应index的mapping
             createIndexRequest.mapping(mapping);
+            client = ElasticSearchPoolUtil.getClient();
             // 发送创建index的请求
             CreateIndexResponse createIndexResponse = client.indices().create(createIndexRequest,RequestOptions.DEFAULT);
             return createIndexResponse.isAcknowledged();
         } catch (Exception e) {
             logger.error("根据信息自动创建索引与mapping创建失败，失败信息为:"+ e.getMessage());
-            return false;
+            throw new RuntimeException();
+        }finally {
+            ElasticSearchPoolUtil.returnClient(client);
         }
     }
 
 
 
-    public boolean indexExist() throws Exception {
+    public boolean indexExist() throws Exception{
+        RestHighLevelClient client = null;
         GetIndexRequest request = new GetIndexRequest(index);
         request.local(false);
         request.humanReadable(true);
         request.includeDefaults(false);
-        return client.indices().exists(request, RequestOptions.DEFAULT);
+        client = ElasticSearchPoolUtil.getClient();
+        boolean result = client.indices().exists(request, RequestOptions.DEFAULT);
+        ElasticSearchPoolUtil.returnClient(client);
+        return result;
     }
 
     public void insertOrUpdateOne(T entity) {
         IndexRequest request = new IndexRequest(index);
+        RestHighLevelClient client = null;
         try {
             request.id(this.getId.invoke(entity, null).toString());
         } catch (IllegalAccessException e) {
@@ -283,11 +294,12 @@ public abstract class EsService<T> {
         }
         request.source(JSON.toJSONString(entity), XContentType.JSON);
         try {
+            client = ElasticSearchPoolUtil.getClient();
             client.index(request, RequestOptions.DEFAULT);
         } catch (Exception e) {
             throw new RuntimeException(e);
         }finally {
-
+            ElasticSearchPoolUtil.returnClient(client);
         }
     }
 
@@ -295,45 +307,50 @@ public abstract class EsService<T> {
         if(list==null||list.size()==0){
             return;
         }
+        RestHighLevelClient client = null;
         try {
+            client = ElasticSearchPoolUtil.getClient();
             if(!indexExist()){
                 createIndexAndCreateMapping(list.get(0).getClass(),true,1,0);
             }
-        } catch (Exception e) {
-            e.printStackTrace();
-            return;
-        }
-        BulkRequest request = new BulkRequest();
-        list.forEach(item -> {
-            try {
-                request.add(new IndexRequest(index).id(getId.invoke(item, null).toString())
-                        .source(JSON.toJSONString(item), XContentType.JSON));
-            } catch (IllegalAccessException e) {
-                e.printStackTrace();
-            } catch (InvocationTargetException e) {
-                e.printStackTrace();
-            }
-        });
-        try {
+            BulkRequest request = new BulkRequest();
+            list.forEach(item -> {
+                try {
+                    request.add(new IndexRequest(index).id(getId.invoke(item, null).toString())
+                            .source(JSON.toJSONString(item), XContentType.JSON));
+                } catch (IllegalAccessException e) {
+                    e.printStackTrace();
+                } catch (InvocationTargetException e) {
+                    e.printStackTrace();
+                }
+            });
             client.bulk(request, RequestOptions.DEFAULT);
         } catch (Exception e) {
             throw new RuntimeException(e);
+        }finally {
+            ElasticSearchPoolUtil.returnClient(client);
         }
     }
 
     public void deleteBatch(List<String> idList) {
         BulkRequest request = new BulkRequest();
         idList.forEach(item -> request.add(new DeleteRequest(index, item)));
+        RestHighLevelClient client = null;
         try {
+            client = ElasticSearchPoolUtil.getClient();
             client.bulk(request, RequestOptions.DEFAULT);
         } catch (Exception e) {
             throw new RuntimeException(e);
+        }finally {
+            ElasticSearchPoolUtil.returnClient(client);
         }
     }
     public List<T> search(SearchSourceBuilder builder) {
         SearchRequest request = new SearchRequest(index);
         request.source(builder);
+        RestHighLevelClient client = null;
         try {
+            client = ElasticSearchPoolUtil.getClient();
             SearchResponse response = client.search(request, RequestOptions.DEFAULT);
             SearchHit[] hits = response.getHits().getHits();
             List<T> res = new ArrayList<>(hits.length);
@@ -344,6 +361,8 @@ public abstract class EsService<T> {
             return res;
         } catch (Exception e) {
             throw new RuntimeException(e);
+        }finally {
+            ElasticSearchPoolUtil.returnClient(client);
         }
     }
 
@@ -405,7 +424,9 @@ public abstract class EsService<T> {
             }
         }
         SearchResponse searchResponse;
+        RestHighLevelClient client = null;
         try {
+            client = ElasticSearchPoolUtil.getClient();
             // 查询数据超过第10000
             if (lastRowNum > MAX_RESULT_WINDOW) {
                 // 滚动搜索
@@ -421,9 +442,11 @@ public abstract class EsService<T> {
                     content = loadDataByResponse(content, searchResponse);
                 }
             }
-        } catch (IOException e) {
+        } catch (Exception e) {
             logger.error("查询索引错误，错误如下：{}",e);
             throw new CustomException("查询索引出错",e);
+        }finally {
+            ElasticSearchPoolUtil.returnClient(client);
         }
         return total;
     }
@@ -482,7 +505,9 @@ public abstract class EsService<T> {
         int scrollCount = 0;
         // 滚动id
         String scrollId;
+        RestHighLevelClient client = null;
         try {
+            client = ElasticSearchPoolUtil.getClient();
             searchSourceBuilder.size(MAX_RESULT_WINDOW);
             searchRequest.scroll(SCROLL_TIME);
             // scroll 查询 获取前10000 条数据和scrollId
@@ -525,8 +550,10 @@ public abstract class EsService<T> {
 
                 }
             }
-        } catch (IOException e) {
+        } catch (Exception e) {
             e.printStackTrace();
+        }finally {
+            ElasticSearchPoolUtil.returnClient(client);
         }
         return total;
     }
@@ -538,10 +565,15 @@ public abstract class EsService<T> {
      * @return
      * @throws IOException
      */
-    protected SearchResponse searchScroll(String scrollId) throws IOException {
+    protected SearchResponse searchScroll(String scrollId) throws Exception{
+        RestHighLevelClient client = null;
+        client = ElasticSearchPoolUtil.getClient();
         SearchScrollRequest searchScrollRequest = new SearchScrollRequest(scrollId);
         searchScrollRequest.scroll(SCROLL_TIME);
-        return client.scroll(searchScrollRequest, RequestOptions.DEFAULT);
+        SearchResponse response = client.scroll(searchScrollRequest, RequestOptions.DEFAULT);
+        ElasticSearchPoolUtil.returnClient(client);
+        return  response;
+
     }
 
 
@@ -571,10 +603,14 @@ public abstract class EsService<T> {
     }
 
     public void deleteIndex() {
+        RestHighLevelClient client = null;
         try {
+            client = ElasticSearchPoolUtil.getClient();
             client.indices().delete(new DeleteIndexRequest(index), RequestOptions.DEFAULT);
         } catch (Exception e) {
             throw new RuntimeException(e);
+        }finally {
+            ElasticSearchPoolUtil.returnClient(client);
         }
     }
 
@@ -583,10 +619,14 @@ public abstract class EsService<T> {
         request.setQuery(builder);
         request.setBatchSize(10000);
         request.setConflicts("proceed");
+        RestHighLevelClient client = null;
         try {
+            client = ElasticSearchPoolUtil.getClient();
             client.deleteByQuery(request, RequestOptions.DEFAULT);
         } catch (Exception e) {
             throw new RuntimeException(e);
+        }finally {
+            ElasticSearchPoolUtil.returnClient(client);
         }
     }
 

ruoyi-biemo/src/main/java/com/ruoyi/biemo/nlp/DependencyParserUtils.java

@@ -0,0 +1,27 @@
+package com.ruoyi.biemo.nlp;
+
+import com.hankcs.hanlp.HanLP;
+import com.hankcs.hanlp.corpus.dependency.CoNll.CoNLLSentence;
+import com.hankcs.hanlp.corpus.dependency.CoNll.CoNLLWord;
+import com.ruoyi.biemo.utils.ParserUtil;
+import com.ruoyi.biemo.utils.RelationUtil;
+
+import java.util.*;
+
+/**
+ * 句法分析
+ */
+public class DependencyParserUtils {
+
+    public static Set<String>  analysis(String text){
+        List<CoNLLWord> parser = ParserUtil.parser(text);
+        List<Map<String, List<CoNLLWord>>> dict = ParserUtil.dict(text);
+        Set<String> result = RelationUtil.relation(parser, dict);
+        for (String rel : result) {
+            System.out.println(rel);
+        }
+        return  result;
+    }
+
+
+}

ruoyi-biemo/src/main/java/com/ruoyi/biemo/nlp/SentimentAnalysisUtils.java

@@ -0,0 +1,25 @@
+package com.ruoyi.biemo.nlp;
+
+import com.hankcs.hanlp.classification.classifiers.IClassifier;
+import com.hankcs.hanlp.classification.classifiers.NaiveBayesClassifier;
+import com.ruoyi.biemo.utils.TestUtility;
+
+import java.io.IOException;
+
+/**
+ * 情感分析
+ */
+public class SentimentAnalysisUtils {
+    public static final String CORPUS_FOLDER = TestUtility.ensureTestData("ChnSentiCorp情感分析酒店评论", "http://hanlp.linrunsoft.com/release/corpus/ChnSentiCorp.zip");
+    public static String analysis(String text){
+        String result = "";
+        IClassifier classifier = new NaiveBayesClassifier(); //
+        try {
+            classifier.train(CORPUS_FOLDER);
+            result = classifier.classify(text);
+        } catch (IOException ioException) {
+            ioException.printStackTrace();
+        }
+        return result;
+    }
+}

ruoyi-biemo/src/main/java/com/ruoyi/biemo/nlp/SummaryUtils.java

@@ -0,0 +1,21 @@
+package com.ruoyi.biemo.nlp;
+
+import com.hankcs.hanlp.HanLP;
+
+import java.util.List;
+
+public class SummaryUtils {
+
+    //自动生成摘要
+    public static String autoSummary(String text){
+        String result = "";
+        try{
+            List<String> sentenceList = HanLP.extractSummary(text, 3);
+            result = String.join(",",sentenceList.toArray(new String[]{}));
+        }catch (Exception e){
+            e.printStackTrace();
+        }
+        return result;
+    }
+
+}

ruoyi-biemo/src/main/java/com/ruoyi/biemo/nlp/TextClassificationUtils.java

@@ -4,6 +4,7 @@ import com.hankcs.hanlp.classification.classifiers.IClassifier;
 import com.hankcs.hanlp.classification.classifiers.NaiveBayesClassifier;
 import com.hankcs.hanlp.classification.models.NaiveBayesModel;
 import com.hankcs.hanlp.corpus.io.IOUtil;
+import com.ruoyi.biemo.utils.TestUtility;
 
 import java.io.File;
 import java.io.IOException;
@@ -21,13 +22,14 @@ public class  TextClassificationUtils {
 
     //文本分类
     public static String getClassification(String text){
+        String result = "";
         try {
             IClassifier classifier = new NaiveBayesClassifier(trainOrLoadModel());
-            return classifier.classify(text);
+            result =  classifier.classify(text);
         } catch (Exception e) {
             e.printStackTrace();
-            return null;
         }
+        return result;
 
     }
     //训练模型

ruoyi-biemo/src/main/java/com/ruoyi/biemo/utils/MyObjects.java

@@ -1,7 +1,11 @@
 package com.ruoyi.biemo.utils;
 
+import org.apache.commons.lang3.StringUtils;
+
 import java.lang.reflect.Field;
 import java.lang.reflect.Type;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
 
 public class MyObjects {
 
@@ -43,4 +47,33 @@ public class MyObjects {
         return flag;
     }
 
+    public static String delHTMLTag(String htmlStr){
+        String regEx_script="<script[^>]*?>[\\s\\S]*?<\\/script>"; //定义script的正则表达式
+        String regEx_style="<style[^>]*?>[\\s\\S]*?<\\/style>"; //定义style的正则表达式
+        String regEx_html="<[^>]+>"; //定义HTML标签的正则表达式
+
+        Pattern p_script=Pattern.compile(regEx_script,Pattern.CASE_INSENSITIVE);
+        Matcher m_script=p_script.matcher(htmlStr);
+        htmlStr=m_script.replaceAll(""); //过滤
+
+        Pattern p_style=Pattern.compile(regEx_style,Pattern.CASE_INSENSITIVE);
+        Matcher m_style=p_style.matcher(htmlStr);
+        htmlStr=m_style.replaceAll(""); //过滤style标签
+
+        Pattern p_html=Pattern.compile(regEx_html,Pattern.CASE_INSENSITIVE);
+        Matcher m_html=p_html.matcher(htmlStr);
+        htmlStr=m_html.replaceAll(""); //过滤html标签
+
+        return htmlStr.trim(); //返回文本字符串
+    }
+    public static String delSpace(String htmlStr){
+
+        htmlStr = htmlStr.replaceAll("\t", "\n");
+        htmlStr = htmlStr.replaceAll("\\u3000", "");
+        htmlStr = htmlStr.replaceAll("(\\s{4})", "\n");
+        htmlStr = htmlStr.replaceAll("\\s", "\n");
+        htmlStr = StringUtils.deleteWhitespace(htmlStr);
+        return htmlStr.trim(); //返回文本字符串
+    }
+
 }

ruoyi-biemo/src/main/java/com/ruoyi/biemo/utils/ParserUtil.java

@@ -0,0 +1,87 @@
+package com.ruoyi.biemo.utils;
+
+import com.hankcs.hanlp.HanLP;
+import com.hankcs.hanlp.corpus.dependency.CoNll.CoNLLSentence;
+import com.hankcs.hanlp.corpus.dependency.CoNll.CoNLLWord;
+import com.hankcs.hanlp.dependency.nnparser.NeuralNetworkDependencyParser;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Created by 刘绪光 on 2018/6/6.
+ */
+public class ParserUtil {
+
+    public static void main(String[] args) {
+        for (Map<String, List<CoNLLWord>> li:
+                dict("刘小绪和小明是同学")) {
+            System.out.println(li);
+        }
+    }
+
+
+    /**
+     * @param text 待分析的句子
+     * @return 分析结果，按分词结果的顺序组织的
+     */
+    public static List<CoNLLWord> parser(String text){
+
+        CoNLLSentence sentence = HanLP.parseDependency(text);
+
+        CoNLLWord wordArr[] = sentence.getWordArray();
+
+        List<CoNLLWord> result = new ArrayList<>();
+
+        for (int i = 0; i < wordArr.length; i++) {
+            result.add(wordArr[i]);
+        }
+
+        return result;
+    }
+
+    /**
+     * 最外层list是为了记录是第几个
+     * map中的key记录的是关系
+     * map中的list记录的是这个关系的词语
+     * @param text 带分析的句子
+     * @return 词语依存字典
+     */
+    public static List<Map<String, List<CoNLLWord>>> dict(String text){
+
+        CoNLLSentence sentence = HanLP.parseDependency(text);
+
+        //System.out.println(sentence);
+
+        CoNLLWord[] wordArray = sentence.getWordArray();
+
+        List<Map<String, List<CoNLLWord>>> result = new ArrayList<>();
+
+        for (int i = 0; i < wordArray.length; i++) {
+
+            CoNLLWord word = wordArray[i];
+            HashMap<String, List<CoNLLWord>> map = new HashMap<>();
+
+            for (int j = 0; j < wordArray.length; j++) {
+                CoNLLWord child = wordArray[j];
+                if (word.LEMMA.equals(child.HEAD.LEMMA)){
+                    if (map.containsKey(child.DEPREL)){
+                        map.get(child.DEPREL).add(child);
+                    }else {
+                        List<CoNLLWord> list= new ArrayList<>();
+                        list.add(child);
+                        map.put(child.DEPREL, list);
+                    }
+
+                }
+            }
+
+            result.add(map);
+        }
+
+        return result;
+    }
+}
+

ruoyi-biemo/src/main/java/com/ruoyi/biemo/utils/RelationUtil.java

@@ -0,0 +1,218 @@
+package com.ruoyi.biemo.utils;
+import com.hankcs.hanlp.corpus.dependency.CoNll.CoNLLWord;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+/**
+ * Created by 刘绪光 on 2018/6/6.
+ */
+public class RelationUtil {
+
+    /**
+     * 获取所有关系，里面有冗余，需要下一步的筛选
+     * @param parser 句法依存分析
+     * @param dict 词语依存字典
+     */
+    public static Set<String> relation(List<CoNLLWord> parser,
+                                       List<Map<String, List<CoNLLWord>>> dict){
+
+        /*
+        for (CoNLLWord word :
+                parser) {
+            System.out.println(word);
+        }
+
+        for (Map<String, List<CoNLLWord>> dic :
+                dict) {
+            System.out.println(dic);
+        }
+        */
+
+        Set<String> result = new HashSet<>();
+
+        for (int i = 0; i < parser.size(); i++) {
+
+            // 事实三元组
+            Set<String> relationList = extract(parser, dict, i);
+
+            result.addAll(relationList);
+
+        }
+
+        return result;
+    }
+
+    /**
+     * @param parser 句法依存分析
+     * @param dict 词语依存字典
+     * @param i 词语索引
+     * @return 三元组列表
+     */
+    private static Set<String> extract(List<CoNLLWord> parser,
+                                       List<Map<String, List<CoNLLWord>>> dict,
+                                       int i) {
+        CoNLLWord word = parser.get(i);
+        Map<String, List<CoNLLWord>> dic = dict.get(i);
+
+        Set<String> result = new HashSet<>();
+
+        // 主谓宾关系：刘小绪生于四川
+        if (dic.containsKey("主谓关系") && dic.containsKey("动宾关系")){
+
+            CoNLLWord entity1 = dic.get("主谓关系").get(0);
+
+            // 排除：刘小绪和李华是朋友
+            // entity1.ID-1 即主语在依存字典中的索引
+            if (dict.get(entity1.ID-1).containsKey("并列关系")){
+                String relation = dic.get("动宾关系").get(0).LEMMA;
+
+                CoNLLWord entity2 = dict.get(entity1.ID-1).get("并列关系").get(0);
+
+                result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+            }else {
+                CoNLLWord entity2 = dic.get("动宾关系").get(0);
+
+                String relation = word.LEMMA;
+
+                result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+            }
+        }
+
+        // 动补结构：刘小绪洗干净了衣服
+        if (dic.containsKey("动补结构") && dic.containsKey("主谓关系") && dic.containsKey("动宾关系")){
+
+            CoNLLWord entity1 = dic.get("主谓关系").get(0);
+            CoNLLWord complement = dic.get("动补结构").get(0);
+            CoNLLWord entity2 = dic.get("动宾关系").get(0);
+
+            if (dic.containsKey("右附加关系")){
+                CoNLLWord subjoin = dic.get("右附加关系").get(0);
+                String relation = word.LEMMA + complement.LEMMA + subjoin.LEMMA;
+                result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+            }else {
+                String relation = word.LEMMA + complement.LEMMA;
+                result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+            }
+        }
+
+        if (dic.containsKey("定中关系")){
+            CoNLLWord entity1 = dic.get("定中关系").get(0);
+            String relation = word.LEMMA;
+
+            for (Map<String, List<CoNLLWord>> tempDic:
+                    dict) {
+                if (tempDic.containsKey("主谓关系") && tempDic.containsKey("动宾关系")){
+                    if (tempDic.get("主谓关系").get(0).LEMMA.equals(relation)){
+                        CoNLLWord entity2 = tempDic.get("动宾关系").get(0);
+                        result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+                    }
+                }
+            }
+        }
+
+        // 状动结构：父亲非常喜欢跑步
+        // 非常 是 跑步的状语，关系应该为非常喜欢
+        if (dic.containsKey("状中结构") && dic.containsKey("主谓关系") && dic.containsKey("动宾关系")){
+
+            CoNLLWord entity1 = dic.get("主谓关系").get(0);
+            CoNLLWord adverbial = dic.get("状中结构").get(0);
+            CoNLLWord entity2 = dic.get("动宾关系").get(0);
+
+            String relation = adverbial.LEMMA + word.LEMMA;
+
+            result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+        }
+
+
+        // 状动补结构：
+        if (dic.containsKey("状中结构") && dic.containsKey("动补结构") &&
+                dic.containsKey("主谓关系") && dic.containsKey("动宾关系")){
+
+            CoNLLWord entity1 = dic.get("主谓关系").get(0);
+            CoNLLWord adverbial = dic.get("状中结构").get(0);
+            CoNLLWord complement = dic.get("动补结构").get(0);
+            CoNLLWord entity2 = dic.get("动宾关系").get(0);
+
+            String relation = adverbial.LEMMA + word.LEMMA + complement.LEMMA;
+
+            result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+        }
+
+
+        // 定语后置：父亲是来自肯尼亚的留学生
+        if (word.DEPREL.equals("定中关系")){
+            if (dic.containsKey("动宾关系")){
+                CoNLLWord entity1 = word.HEAD;
+                String relation = word.LEMMA;
+                CoNLLWord entity2 = dic.get("动宾关系").get(0);
+
+                result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+            }
+        }
+
+        // 介宾关系：刘小绪就职于学校
+        // 于 和 学校 是介宾关系
+        if (dic.containsKey("主谓关系") && dic.containsKey("动补结构")){
+            CoNLLWord entity1 = dic.get("主谓关系").get(0);
+            CoNLLWord prep = dic.get("动补结构").get(0);
+            // 介词的索引
+            int prepIndex = prep.ID - 1;
+
+            Map<String, List<CoNLLWord>> prepDict = dict.get(prepIndex);
+            if (prepDict.containsKey("介宾关系")){
+                CoNLLWord entity2 = prepDict.get("介宾关系").get(0);
+                String relation = word.LEMMA + prep.LEMMA;
+                result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+            }
+        }
+        // 宾语前置结构：海洋由水组成
+        if (dic.containsKey("前置宾语")){
+            CoNLLWord entity2 = dic.get("前置宾语").get(0);
+            if (dic.containsKey("状中结构")){
+                CoNLLWord adverbial = dic.get("状中结构").get(0);
+                int prepIndex = adverbial.ID - 1;
+                Map<String, List<CoNLLWord>> prepDict = dict.get(prepIndex);
+                if (prepDict.containsKey("介宾关系")){
+                    CoNLLWord entity1 = prepDict.get("介宾关系").get(0);
+                    String relation = word.LEMMA;
+                    result.add(entity1.LEMMA + "," + relation + "," + entity2.LEMMA);
+                }
+            }
+        }
+        return result;
+    }
+
+
+    /**
+     * @param textArr
+     * @return 事实三元组
+     */
+    public static Set<String> entityRelation(String[] textArr){
+
+        Set<String> result = new HashSet<>();
+
+        for (String text :
+                textArr) {
+            List<CoNLLWord> parser = ParserUtil.parser(text);
+            List<Map<String, List<CoNLLWord>>> dict = ParserUtil.dict(text);
+            Set<String> rel = relation(parser, dict);
+
+            result.addAll(rel);
+        }
+        return result;
+    }
+
+    public static void main(String[] args) {
+
+        String text = "里根号核动力航空母舰前往南海";
+        List<CoNLLWord> parser = ParserUtil.parser(text);
+        List<Map<String, List<CoNLLWord>>> dict = ParserUtil.dict(text);
+        Set<String> result = relation(parser, dict);
+        for (String rel : result) {
+            System.out.println(rel);
+        }
+    }
+}
+

ruoyi-biemo/src/main/java/com/ruoyi/biemo/utils/TestUtility.java

@@ -8,7 +8,7 @@
  * This source is subject to Han He. Please contact Han He for more information.
  * </copyright>
  */
-package com.ruoyi.biemo.nlp;
+package com.ruoyi.biemo.utils;
 
 import java.io.*;
 import java.net.HttpURLConnection;

ruoyi-common/src/main/java/com/ruoyi/common/utils/file/MimeTypeUtils.java

@@ -2,7 +2,7 @@ package com.ruoyi.common.utils.file;
 
 /**
  * 媒体类型工具类
- * 
+ *
  * @author ruoyi
  */
 public class MimeTypeUtils
@@ -16,7 +16,7 @@ public class MimeTypeUtils
     public static final String IMAGE_BMP = "image/bmp";
 
     public static final String IMAGE_GIF = "image/gif";
-    
+
     public static final String[] IMAGE_EXTENSION = { "bmp", "gif", "jpg", "jpeg", "png" };
 
     public static final String[] FLASH_EXTENSION = { "swf", "flv" };
@@ -36,7 +36,7 @@ public class MimeTypeUtils
             // 视频格式
             "mp4", "avi", "rmvb",
             // pdf
-            "pdf" };
+            "pdf","json" };
 
     public static String getExtension(String prefix)
     {

ruoyi-framework/src/main/java/com/ruoyi/framework/config/SecurityConfig.java

@@ -111,6 +111,7 @@ public class SecurityConfig extends WebSecurityConfigurerAdapter
                 // 对于登录login 注册register 验证码captchaImage 允许匿名访问
                 .antMatchers("/login", "/register", "/captchaImage").anonymous()
                 .antMatchers("/makesoft/**").permitAll()
+                .antMatchers("/common/**").permitAll()
                 // 静态资源，可匿名访问
                 .antMatchers(HttpMethod.GET, "/", "/*.html", "/**/*.html", "/**/*.css", "/**/*.js", "/profile/**").permitAll()
                 .antMatchers("/swagger-ui.html", "/swagger-resources/**", "/webjars/**", "/*/api-docs", "/druid/**").permitAll()

ruoyi-hanlp/src/test/java/com/hankcs/demo/DemoDependencyParser.java

@@ -24,7 +24,9 @@ public class DemoDependencyParser extends TestUtility
 {
     public static void main(String[] args)
     {
-        CoNLLSentence sentence = HanLP.parseDependency("徐先生还具体帮助他确定了把画雄鹰、松鼠和麻雀作为主攻目标。");
+        CoNLLSentence sentence = HanLP.parseDependency("花鼓戏是哪个省的地方戏\n" +
+                "　　花鼓戏，中国戏曲剧种，是各地方小戏花鼓、灯戏的总称。有湖南、湖北、皖北花鼓戏等，以湖南花鼓戏影响较大。花鼓戏源出于民歌，逐渐发展成一旦一丑的初级表演形式。清嘉庆时已有演出，同治初年已出现书生、书童、柳莺、婢女4个角色，演出也具有一定规模。\n" +
+                "　　湖南花鼓戏又为湖南各地花鼓戏的总称，细分为：长沙花鼓戏（益阳花鼓戏）、岳阳花鼓戏（临湘花鼓戏）、衡州花鼓戏（衡阳花鼓戏）、邵阳花鼓戏、常德花鼓戏、永州花鼓戏（零陵花鼓戏）等六个流派。");
         System.out.println(sentence);
         // 可以方便地遍历它
         for (CoNLLWord word : sentence)

ruoyi-hanlp/src/test/java/com/hankcs/demo/DemoNLPSegment.java

@@ -26,8 +26,8 @@ public class DemoNLPSegment extends TestUtility
 {
     public static void main(String[] args)
     {
-        NLPTokenizer.ANALYZER.enableCustomDictionary(false); // 中文分词≠词典，不用词典照样分词。
-        System.out.println(NLPTokenizer.segment("我新造一个词叫幻想乡你能识别并正确标注词性吗？")); // “正确”是副形词。
+        NLPTokenizer.ANALYZER.enableCustomDictionary(true); // 中文分词≠词典，不用词典照样分词。
+        System.out.println(NLPTokenizer.segment("我新造一个词叫别摸文化你能识别并正确标注词性吗？")); // “正确”是副形词。
         // 注意观察下面两个“希望”的词性、两个“晚霞”的词性
         System.out.println(NLPTokenizer.analyze("我的希望是希望张晚霞的背影被晚霞映红").translateLabels());
         System.out.println(NLPTokenizer.analyze("支援臺灣正體香港繁體：微软公司於1975年由比爾·蓋茲和保羅·艾倫創立。"));

ruoyi-hanlp/src/test/java/com/hankcs/demo/DemoPosTagging.java

@@ -22,7 +22,7 @@ public class DemoPosTagging
 {
     public static void main(String[] args)
     {
-        String text = "教授正在教授自然语言处理课程";
+        String text = "里根号核动力航空母舰前往南海";
         Segment segment = HanLP.newSegment();
 
         System.out.println("未标注：" + segment.seg(text));

ruoyi-ui/.env.development

@@ -1,10 +1,10 @@
 # 页面标题
-VUE_APP_TITLE = 若依管理系统
+VUE_APP_TITLE = 管理系统
 
 # 开发环境配置
 ENV = 'development'
 
-# 若依管理系统/开发环境
+# 管理系统/开发环境
 VUE_APP_BASE_API = '/dev-api'
 
 # 路由懒加载

ruoyi-ui/.env.production

@@ -1,8 +1,8 @@
 # 页面标题
-VUE_APP_TITLE = 若依管理系统
+VUE_APP_TITLE = 管理系统
 
 # 生产环境配置
 ENV = 'production'
 
-# 若依管理系统/生产环境
+# 管理系统/生产环境
 VUE_APP_BASE_API = '/prod-api'

ruoyi-ui/.env.staging

@@ -1,10 +1,10 @@
 # 页面标题
-VUE_APP_TITLE = 若依管理系统
+VUE_APP_TITLE = 管理系统
 
 NODE_ENV = production
 
 # 测试环境配置
 ENV = 'staging'
 
-# 若依管理系统/测试环境
+# 管理系统/测试环境
 VUE_APP_BASE_API = '/stage-api'

ruoyi-ui/package.json

@@ -1,7 +1,7 @@
 {
   "name": "ruoyi",
   "version": "3.8.3",
-  "description": "若依管理系统",
+  "description": "管理系统",
   "author": "若依",
   "license": "MIT",
   "scripts": {

ruoyi-ui/src/api/biemo/docInfo.js

@@ -42,3 +42,11 @@ export function delDocInfo(id) {
     method: 'delete'
   })
 }
+
+// 获取分析结果
+export function getDocInfoAnalysis(id) {
+  return request({
+    url: '/makesoft/docInfo/analysis/' + id,
+    method: 'get'
+  })
+}

ruoyi-ui/src/components/imageSelect/index.vue

@@ -0,0 +1,73 @@
+<template>
+  <div class="image-body">
+    <el-input v-model="name" style="position: relative" clearable placeholder＝＂请输入图标名称＂ ＠clear＝＂filterIcons＂
+              @input="filterIcons">
+      i slot="suffix" @click.stop="filterIcons"class="el-icon-search el-input_icon"
+    </el-input>
+    <div class="image-list">
+      <div v-for="(item, index) in imageList" :key="index" @click="selectedIcon(item)">
+        < img :src="getNodeImg({icon: item})" style="height:16px;width:16px;">
+        <span>{{ item }}</span>
+      </div>
+    </div>
+  </div>
+</template>
+<script>
+import icons from './requireImages'
+
+export default {
+  name: 'IconSelect',
+  data() {
+    return {
+      name: '',
+      imageList: icons
+    }
+  }, methods: {
+    filterIcons() {
+      this.imageList = icons
+      if (this.name) {
+        this.imageList - this.imageList.filter(item => item.includes(this.name))
+      }
+    },
+    selectedIcon(name) {
+      this.$emit('selected', name)
+      document.body.click()
+    }
+    ,
+    reset() {
+      this.name = ''
+      this.imageList = icons
+    }
+  }
+}
+</script>
+<style rel="stylesheet/scss" lang="scss" scoped>
+.image-body {
+  width: 100%;
+  padding: 10px;
+
+  .image-list {
+    height: 200px;
+    overflow-y: scroll;
+
+    div {
+      height: 30px;
+      line-height: 30px;
+      margin-bottom: -5px;
+      cursor: pointer;
+      width: 33%;
+      float: left;
+      display: flex;
+      align-items: center;
+    }
+
+    span {
+      display: inline-block;
+      vertical-align: -0.15em;
+      fill: currentColor;
+      overflow: hidden;
+      margin-left: 5px;
+    }
+  }
+}
+</style>

ruoyi-ui/src/components/imageSelect/requireImages.js

@@ -0,0 +1,7 @@
+const req = require.context('../../../public/ontology',false,/\.png$/)
+const requireAll = requireContext => requireContext.keys()
+const re = /\.\/(.*)\.png/
+const icons = requireAll(req).map(i => {
+  return i.match(re)[1]
+})
+export default icons

ruoyi-ui/src/layout/components/Sidebar/Logo.vue

@@ -35,7 +35,7 @@ export default {
   },
   data() {
     return {
-      title: '若依管理系统',
+      title: '管理系统',
       logo: logoImg
     }
   }

ruoyi-ui/src/views/components/graphShow.vue

@@ -2,8 +2,8 @@
   <div id="neo4jd3"></div>
 </template>
 <script>
-import { getDocInfo } from "@/api/biemo/docInfo";
-
+import { getDocInfoAnalysis } from "@/api/biemo/docInfo";
+import Neo4jd3 from "@/views/neo4jd3/js/neo4jd3";
 export default {
   data(){
     return{
@@ -13,17 +13,16 @@ export default {
   },
   props: ["id"],
   created(){
-    this.getDocInfoById(this.id);
-    this.init();
-  },
-  mounted() {
 
+  },
+  async mounted() {
+    await this.getData(this.id);
   },
   methods: {
-    getDocInfoById(id){
-      getDocInfo(id).then(response=>{
-        this.docInfo = response.data;
-      });
+    async getData(id){
+        let res = await getDocInfoAnalysis(id);
+        this.docInfo = res.data;
+        this.init();
     },
     init() {
       var neo4jd3 = new Neo4jd3('#neo4jd3', {
@@ -39,17 +38,12 @@ export default {
           }
         ],
         icons: {
-//                        'Address': 'home',
           'Api': 'gear',
-//                        'BirthDate': 'birthday-cake',
           'Cookie': 'paw',
-//                        'CreditCard': 'credit-card',
-//                        'Device': 'laptop',
           'Email': 'at',
           'Git': 'git',
           'Github': 'github',
           'Google': 'google',
-//                        'icons': 'font-awesome',
           'Ip': 'map-marker',
           'Issues': 'exclamation-circle',
           'Language': 'language',
@@ -65,7 +59,6 @@ export default {
         },
         images: {
           'Address': 'img/twemoji/1f3e0.svg',
-//                        'Api': 'img/twemoji/1f527.svg',
           'BirthDate': 'img/twemoji/1f382.svg',
           'Cookie': 'img/twemoji/1f36a.svg',
           'CreditCard': 'img/twemoji/1f4b3.svg',
@@ -79,30 +72,16 @@ export default {
           'Language': 'img/twemoji/1f1f1-1f1f7.svg',
           'Options': 'img/twemoji/2699.svg',
           'Password': 'img/twemoji/1f511.svg',
-//                        'Phone': 'img/twemoji/1f4de.svg',
           'Project': 'img/twemoji/2198.svg',
           'Project|name|neo4jd3': 'img/twemoji/2196.svg',
-//                        'SecurityChallengeAnswer': 'img/twemoji/1f4ac.svg',
           'User': 'img/twemoji/1f600.svg'
-//                        'zoomFit': 'img/twemoji/2194.svg',
-//                        'zoomIn': 'img/twemoji/1f50d.svg',
-//                        'zoomOut': 'img/twemoji/1f50e.svg'
         },
         minCollision: 60,
-        neo4jDataUrl: 'json/neo4jData.json',
+        //neo4jDataUrl: '/dev-api/common/download/resource?resource=/profile/my.json',
+        neo4jData: this.docInfo,
         nodeRadius: 25,
         onNodeDoubleClick: function(node) {
-          switch(node.id) {
-            case '25':
-              // Google
-              window.open(node.properties.url, '_blank');
-              break;
-            default:
-              var maxNodes = 5,
-                data = neo4jd3.randomD3Data(node, maxNodes);
-              neo4jd3.updateWithD3Data(data);
-              break;
-          }
+
         },
         onRelationshipDoubleClick: function(relationship) {
           console.log('double click on relationship: ' + JSON.stringify(relationship));
@@ -113,26 +92,13 @@ export default {
   }
 }
 </script>
+<style rel="stylesheet/scss" lang="scss">
+@import '../neo4jd3/css/neo4jd3.css';
 
-<style lang="scss">
-.newsinfo-container {
-  padding: 0 4px;
-  .title {
-    font-size: 20px;
-    text-align: center;
-    margin: 15px 0;
-    color: #000000;
-  }
-  .subtitle {
-    font-size: 16px;
-    color: #090909;
-    display: flex;
-    justify-content: center ;
-  }
-  .content {
-    width: 100%;
-    justify-content: center ;
-    font-size: 16px;
-  }
+.neo4jd3 {
+  position: relative;
+  background: #fff;
+  height: 700px;
 }
 </style>
+

ruoyi-ui/src/views/components/newsDetail.vue

@@ -1,19 +1,24 @@
 <template>
-  <div class="newsinfo-container">
-    <!-- 大标题 -->
-    <h3 class="title">{{ docInfo.title }}</h3>
-    <!-- 子标题 -->
-    <p class="subtitle">
-      <span>发表时间：{{ parseTime(docInfo.createTime, '{y}-{m}-{d} {h}:{i}:{s}') }} <span v-html="'&nbsp;&nbsp;'"></span></span>
-      <span>作者：{{ docInfo.author }}<span v-html="'&nbsp;&nbsp;'"></span></span>
-      <span>来源：{{ docInfo.source }}<span v-html="'&nbsp;&nbsp;'"></span></span>
-      <span>评分：{{ docInfo.score }}<span v-html="'&nbsp;&nbsp;'"></span></span>
-      <span>点击：{{ docInfo.click }}次</span>
-    </p>
-    <hr>
-    <!-- 内容区域 -->
-    <div class="content" v-html="docInfo.content"></div>
+  <div class="newsinfo-detail-main">
+    <div class="newsinfo-container">
+      <!-- 大标题 -->
+      <h3 class="title">{{ docInfo.title }}</h3>
+      <!-- 子标题 -->
+      <p class="subtitle">
+
+        <span>作者：{{ docInfo.author }}<span v-html="'&nbsp;&nbsp;'"></span></span>
+        <span>来源：{{ docInfo.source }}<span v-html="'&nbsp;&nbsp;'"></span></span>
+        <span>时间：{{ parseTime(docInfo.createTime, '{y}-{m}-{d} {h}:{i}:{s}') }} <span v-html="'&nbsp;&nbsp;'"></span></span>
+      </p>
+      <hr>
+      <!-- 内容区域 -->
+      <div class="content" v-html="docInfo.content"></div>
+    </div>
+    <div class="newsinfo-right">
+
+    </div>
   </div>
+
 </template>
 
 <script>
@@ -43,11 +48,13 @@ export default {
 <style lang="scss">
 .newsinfo-container {
   padding: 0 4px;
+  float:left;
+  width: 50%;
   .title {
     font-size: 20px;
     text-align: center;
     margin: 15px 0;
-    color: #000000;
+    color: #188ffe;
   }
   .subtitle {
     font-size: 16px;
@@ -59,6 +66,15 @@ export default {
       width: 100%;
       justify-content: center ;
       font-size: 16px;
+      color: #393636;
+      font-family: 'Microsoft YaHei UI', 'Microsoft YaHei', DengXian, SimSun, 'Segoe UI', Tahoma, Helvetica, sans-serif;
+
   }
 }
+
+.newsinfo-right{
+  padding: 0 4px;
+  float: left;
+  width: 50%;
+}
 </style>

ruoyi-ui/src/views/docInfo/detail.vue

@@ -1,11 +1,12 @@
 <template>
   <div>
-    <el-tabs v-model="activeName" @tab-click="handleClick">
+    <el-tabs v-model="activeName" @tab-click="handleClick" height="700px">
       <el-tab-pane
         v-for="(item, index) in tabsArr"
         :key="index"
         :label="item.label"
         :name="item.name"
+        height="700px"
       >
         <components :is="item.name" :id="id" v-if="item.name == nowName"></components>
       </el-tab-pane>

ruoyi-ui/src/views/docInfo/img/twemoji/1f004.svg

@@ -0,0 +1 @@
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ruoyi-ui/src/views/docInfo/img/twemoji/1f0cf.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f170.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f171.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f17e.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f17f.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f18e.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f191.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f192.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f193.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f194.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f195.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f196.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f197.svg

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ruoyi-ui/src/views/docInfo/img/twemoji/1f198.svg

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