add：新增分词搜索

.vscode/settings.json

@@ -0,0 +1,4 @@
+{
+    "java.configuration.updateBuildConfiguration": "automatic",
+    "java.compile.nullAnalysis.mode": "automatic"
+}

kgBuilder-base/pom.xml

@@ -78,6 +78,12 @@
             <artifactId>poi-ooxml</artifactId>
             <version>5.2.3</version>
         </dependency>
+        <!-- HanLP自然语言处理 -->
+        <dependency>
+            <groupId>com.hankcs</groupId>
+            <artifactId>hanlp</artifactId>
+            <version>portable-1.8.3</version>
+        </dependency>
 
     </dependencies>
 

kgBuilder-base/src/main/java/com/warmer/base/service/KeywordExtractionService.java

@@ -0,0 +1,140 @@
+package com.warmer.base.service;
+
+import com.hankcs.hanlp.HanLP;
+import com.hankcs.hanlp.seg.common.Term;
+import com.hankcs.hanlp.tokenizer.StandardTokenizer;
+import org.springframework.stereotype.Service;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+/**
+ * 关键字提取服务
+ * 
+ * @author tanc
+ */
+@Service
+public class KeywordExtractionService {
+    
+    // 停用词集合
+    private static final Set<String> STOP_WORDS = new HashSet<>(Arrays.asList(
+        "的", "了", "在", "是", "我", "有", "和", "就", "不", "人", "都", "一", "一个", "上", "也", "很", "到", "说", "要", "去", "你", "会", "着", "没有", "看", "好", "自己", "这"
+    ));
+    
+    // 故障相关的重要词性
+    private static final Set<String> IMPORTANT_POS = new HashSet<>(Arrays.asList(
+        "n", "nr", "ns", "nt", "nz", "nl", "ng", "v", "vn", "a", "an"
+    ));
+    
+    /**
+     * 从故障描述中提取关键字
+     * 
+     * @param text 故障描述文本
+     * @return 关键字列表，按重要性排序
+     */
+    // 强化自定义词典，保证行业术语被识别为稳定分词
+    static {
+        try {
+            // 先设置 IOAdapter：从 jar 的 classpath 读取 HanLP 资源
+            com.hankcs.hanlp.HanLP.Config.IOAdapter = new com.hankcs.hanlp.corpus.io.ResourceIOAdapter();
+
+            // 强化自定义词典，保证行业术语被识别为稳定分词
+            com.hankcs.hanlp.dictionary.CustomDictionary.add("冷轧", "nz 1000");
+            com.hankcs.hanlp.dictionary.CustomDictionary.add("热轧", "nz 1000");
+            com.hankcs.hanlp.dictionary.CustomDictionary.add("轴承座", "n 1000");
+            com.hankcs.hanlp.dictionary.CustomDictionary.add("轴承", "n 1000");
+        } catch (Exception ignored) {}
+    }
+    public List<String> extractKeywords(String text) {
+        if (text == null || text.trim().isEmpty()) {
+            return new ArrayList<>();
+        }
+        
+        // 使用HanLP进行分词和词性标注
+        List<Term> terms = StandardTokenizer.segment(text);
+        
+        // 提取关键词
+        Map<String, Integer> keywordCount = new HashMap<>();
+        
+        for (Term term : terms) {
+            String word = term.word.trim();
+            String nature = term.nature.toString();
+            
+            // 过滤条件：长度大于1，不是停用词，词性重要
+            if (word.length() > 1 && 
+                !STOP_WORDS.contains(word) && 
+                IMPORTANT_POS.contains(nature)) {
+                
+                keywordCount.put(word, keywordCount.getOrDefault(word, 0) + 1);
+            }
+        }
+        
+        // 按词频排序，返回关键字列表
+        return keywordCount.entrySet().stream()
+                .sorted(Map.Entry.<String, Integer>comparingByValue().reversed())
+                .map(Map.Entry::getKey)
+                .limit(10) // 最多返回10个关键字
+                .collect(Collectors.toList());
+    }
+    
+    /**
+     * 提取关键字并返回详细信息
+     * 
+     * @param text 故障描述文本
+     * @return 关键字详细信息
+     */
+    public List<KeywordInfo> extractKeywordsWithInfo(String text) {
+        if (text == null || text.trim().isEmpty()) {
+            return new ArrayList<>();
+        }
+        
+        List<Term> terms = StandardTokenizer.segment(text);
+        Map<String, KeywordInfo> keywordMap = new HashMap<>();
+        
+        for (Term term : terms) {
+            String word = term.word.trim();
+            String nature = term.nature.toString();
+            
+            if (word.length() > 1 && 
+                !STOP_WORDS.contains(word) && 
+                IMPORTANT_POS.contains(nature)) {
+                
+                KeywordInfo info = keywordMap.getOrDefault(word, new KeywordInfo(word, nature));
+                info.incrementCount();
+                keywordMap.put(word, info);
+            }
+        }
+        
+        return keywordMap.values().stream()
+                .sorted((a, b) -> Integer.compare(b.getCount(), a.getCount()))
+                .limit(10)
+                .collect(Collectors.toList());
+    }
+    
+    /**
+     * 关键字信息类
+     */
+    public static class KeywordInfo {
+        private String keyword;
+        private String partOfSpeech;
+        private int count;
+        
+        public KeywordInfo(String keyword, String partOfSpeech) {
+            this.keyword = keyword;
+            this.partOfSpeech = partOfSpeech;
+            this.count = 1;
+        }
+        
+        public void incrementCount() {
+            this.count++;
+        }
+        
+        // Getters and Setters
+        public String getKeyword() { return keyword; }
+        public void setKeyword(String keyword) { this.keyword = keyword; }
+        public String getPartOfSpeech() { return partOfSpeech; }
+        public void setPartOfSpeech(String partOfSpeech) { this.partOfSpeech = partOfSpeech; }
+        public int getCount() { return count; }
+        public void setCount(int count) { this.count = count; }
+    }
+}

kgBuilder-pro/pom.xml

@@ -57,7 +57,11 @@
             <artifactId>neo4j-java-driver</artifactId>
             <version>4.4.12</version>
         </dependency>
-
+        <dependency>
+            <groupId>com.hankcs</groupId>
+            <artifactId>hanlp</artifactId>
+            <version>portable-1.8.3</version>
+        </dependency>
     </dependencies>
     <build>
         <plugins>

kgBuilder-pro/src/main/java/com/warmer/Application.java

@@ -44,6 +44,7 @@ public class Application implements ApplicationRunner {
                     domainModel.setModifyTime(DateUtil.getDateNow());
                     domainModel.setModifyUser("sa");
                     domainModel.setNodeCount(value);
+                    domainModel.setStatus(1);
                     kgManagerService.updateDomain(domainModel);
                 }else {
                     domainModel=KgDomain.builder()

kgBuilder-pro/src/main/java/com/warmer/web/controller/CustomDictController.java

@@ -0,0 +1,41 @@
+package com.warmer.web.controller;
+
+import com.warmer.base.util.R;
+import com.warmer.web.model.CustomDictEntry;
+import com.warmer.web.service.CustomDictService;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.*;
+
+import java.util.*;
+
+@RestController
+@RequestMapping("/customDict")
+@CrossOrigin(origins = "*", maxAge = 3600)
+public class CustomDictController {
+
+    @Autowired
+    private CustomDictService customDictService;
+
+    @GetMapping("/list")
+    public R<List<CustomDictEntry>> list(@RequestParam(required = false) String domain,
+                                         @RequestParam(required = false) Integer enabled) {
+        return R.success(customDictService.list(domain, enabled));
+    }
+
+    @PostMapping("/add")
+    public R<Boolean> add(@RequestBody Map<String, Object> body) {
+        String word = Objects.toString(body.get("word"), "");
+        String nature = Objects.toString(body.get("nature"), "n");
+        Integer freq = body.get("freq") == null ? 1000 : Integer.valueOf(body.get("freq").toString());
+        String domain = Objects.toString(body.get("domain"), null);
+        String source = Objects.toString(body.get("source"), "manual");
+        if (word.isEmpty()) return R.error("word不能为空");
+        boolean ok = customDictService.addWord(word, nature, freq, domain, source);
+        return ok ? R.success(true) : R.error("添加失败");
+    }
+
+    @PostMapping("/disable")
+    public R<Boolean> disable(@RequestParam Integer id) {
+        return customDictService.disable(id) ? R.success(true) : R.error("停用失败");
+    }
+}

kgBuilder-pro/src/main/java/com/warmer/web/controller/GraphDomainController.java

@@ -0,0 +1,62 @@
+package com.warmer.web.controller;
+
+import com.warmer.base.util.R;
+import com.warmer.base.util.GraphPageRecord;
+import com.warmer.web.service.KGGraphService;
+import com.warmer.web.request.GraphQuery;
+import org.apache.commons.lang3.StringUtils;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.*;
+
+import java.util.HashMap;
+
+@RestController
+@RequestMapping("/kg/domain")
+public class GraphDomainController extends BaseController {
+
+    @Autowired
+    private KGGraphService kgGraphService;
+
+    /**
+     * 领域分页（支持按关键字过滤）
+     * 请求体支持 GraphQuery.keywords，pageIndex，pageSize
+     */
+    @PostMapping("/page")
+    @ResponseBody
+    public R<GraphPageRecord<HashMap<String, Object>>> page(@RequestBody GraphQuery query) {
+        GraphPageRecord<HashMap<String, Object>> data = kgGraphService.getPageDomain(query);
+        return R.success(data, "操作成功");
+    }
+
+    /**
+     * 删除指定领域（标签）
+     */
+    @DeleteMapping("/{domain}")
+    @ResponseBody
+    public R<?> delete(@PathVariable("domain") String domain) {
+        if (StringUtils.isBlank(domain)) {
+            return R.error("领域名称不能为空");
+        }
+        kgGraphService.deleteKGDomain(domain);
+        return R.success(null, "删除成功");
+    }
+
+    /**
+     * 重命名领域（标签）
+     * 请求体：{ "oldName": "...", "newName": "..." }
+     */
+    @PutMapping("/rename")
+    @ResponseBody
+    public R<?> rename(@RequestBody HashMap<String, String> body) {
+        String oldName = body.get("oldName");
+        String newName = body.get("newName");
+        if (StringUtils.isBlank(oldName) || StringUtils.isBlank(newName)) {
+            return R.error("oldName/newName 不能为空");
+        }
+        if (StringUtils.equals(oldName, newName)) {
+            return R.error("新名称不能与旧名称相同");
+        }
+        kgGraphService.renameKGDomain(oldName, newName);
+        return R.success(null, "重命名成功");
+    }
+}

kgBuilder-pro/src/main/java/com/warmer/web/controller/IntelligentSearchController.java

@@ -0,0 +1,146 @@
+package com.warmer.web.controller;
+
+import com.warmer.base.util.R;
+import com.warmer.web.request.IntelligentSearchRequest;
+import com.warmer.web.service.IntelligentSearchService;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.util.StringUtils;
+import org.springframework.web.bind.annotation.*;
+
+import java.util.Map;
+import java.util.List;
+
+/**
+ * 智能搜索控制器
+ * 
+ * @author tanc
+ */
+@RestController
+@RequestMapping("/intelligent")
+@CrossOrigin(origins = "*", maxAge = 3600)
+public class IntelligentSearchController {
+
+    @Autowired
+    private IntelligentSearchService intelligentSearchService;
+
+    /**
+     * 智能搜索接口
+     * 
+     * @param request 搜索请求对象
+     * @return 搜索结果
+     */
+    @PostMapping("/search")
+    public R<Map<String, Object>> search(@RequestBody IntelligentSearchRequest request) {
+        try {
+            // 参数验证
+            if (StringUtils.isEmpty(request.getText())) {
+                return R.error("搜索文本不能为空");
+            }
+            
+            if (StringUtils.isEmpty(request.getDomain())) {
+                request.setDomain("default");
+            }
+            
+            Map<String, Object> result = intelligentSearchService.intelligentSearch(
+                request.getText(), 
+                request.getDomain()
+            );
+            return R.success(result);
+        } catch (Exception e) {
+            return R.error("智能搜索失败: " + e.getMessage());
+        }
+    }
+
+    /**
+     * 仅通过文本搜索（使用默认领域）
+     * 
+     * @param text 搜索文本
+     * @return 搜索结果
+     */
+    @PostMapping("/searchByText")
+    public R<Map<String, Object>> searchByText(@RequestParam String text) {
+        try {
+            if (StringUtils.isEmpty(text)) {
+                return R.error("搜索文本不能为空");
+            }
+            
+            // 使用默认领域进行搜索
+            Map<String, Object> result = intelligentSearchService.intelligentSearch(text, "default");
+            return R.success(result);
+        } catch (Exception e) {
+            return R.error("智能搜索失败: " + e.getMessage());
+        }
+    }
+    
+    /**
+     * 简单的GET接口用于测试
+     * 
+     * @param text 搜索文本
+     * @param domain 领域名称（可选）
+     * @return 搜索结果
+     */
+    @GetMapping("/search")
+    public R<Map<String, Object>> searchGet(@RequestParam String text, 
+                                           @RequestParam(required = false, defaultValue = "default") String domain) {
+        try {
+            if (StringUtils.isEmpty(text)) {
+                return R.error("搜索文本不能为空");
+            }
+            
+            Map<String, Object> result = intelligentSearchService.intelligentSearch(text, domain);
+            return R.success(result);
+        } catch (Exception e) {
+            return R.error("智能搜索失败: " + e.getMessage());
+        }
+    }
+
+    /**
+     * 关键词提取接口
+     * 
+     * @param requestBody 包含原始文本的请求体
+     * @return 提取的关键词列表
+     */
+    @PostMapping("/extractKeywords")
+    public R<?> extractKeywords(@RequestBody Map<String, String> requestBody) {
+        try {
+            String text = requestBody.get("text");
+            if (StringUtils.isEmpty(text)) {
+                return R.error("输入文本不能为空");
+            }
+            
+            // 使用关键词提取服务
+            List<com.warmer.base.service.KeywordExtractionService.KeywordInfo> keywordInfoList = 
+                intelligentSearchService.getKeywordExtractionResult(text);
+            return R.success(keywordInfoList);
+        } catch (Exception e) {
+            return R.error("关键词提取失败: " + e.getMessage());
+        }
+    }
+    
+    /**
+     * 获取搜索建议（输入提示）
+     * 
+     * @param query 查询关键词
+     * @param domain 领域名称
+     * @return 节点名称建议列表
+     */
+    @GetMapping("/suggestions")
+    public R<List<String>> getSuggestions(@RequestParam String query, 
+                                          @RequestParam(required = false) String domain) {
+        try {
+            if (query == null || query.trim().isEmpty()) {
+                return R.success(new java.util.ArrayList<>());
+            }
+            
+            // 如果没有指定领域，使用默认领域
+            if (domain == null || domain.trim().isEmpty()) {
+                domain = "default";
+            }
+            
+            List<String> suggestions = intelligentSearchService.getSearchSuggestions(query, domain);
+            return R.success(suggestions);
+        } catch (Exception e) {
+            return R.error("获取搜索建议失败: " + e.getMessage());
+        }
+    }
+}

kgBuilder-pro/src/main/java/com/warmer/web/controller/KGBuilderController.java

@@ -16,6 +16,7 @@ import com.warmer.web.entity.KgNodeDetailFile;
 import com.warmer.web.model.NodeItem;
 import com.warmer.web.request.*;
 import com.warmer.web.service.FeedBackService;
+import com.warmer.web.service.IntelligentSearchService;
 import com.warmer.web.service.KGGraphService;
 import com.warmer.web.service.KGManagerService;
 import org.springframework.beans.factory.annotation.Autowired;
@@ -40,6 +41,8 @@ public class KGBuilderController extends BaseController {
     private KGManagerService kgManagerService;
     @Autowired
     FeedBackService feedBackService;
+    @Autowired
+    private IntelligentSearchService intelligentSearchService;
 
     /**
      * 获取图谱标签列表（存放mysql表）
@@ -75,7 +78,19 @@ public class KGBuilderController extends BaseController {
     @PostMapping(value = "/queryGraphResult")
     public R<HashMap<String, Object>> queryGraphResult(@RequestBody GraphQuery query) {
         try {
+            // 如果启用了智能搜索，先处理关键字提取
+            if (query.getEnableKeywordExtraction() != null && query.getEnableKeywordExtraction()) {
+                query = intelligentSearchService.processIntelligentSearch(query);
+            }
+            
             HashMap<String, Object> graphData = kgGraphService.queryGraphResult(query);
+            
+            // 如果是智能搜索，添加关键字信息到返回结果
+            if (query.getEnableKeywordExtraction() != null && query.getEnableKeywordExtraction() && 
+                query.getKeywords() != null) {
+                graphData.put("extractedKeywords", query.getKeywords());
+            }
+            
             return R.success(graphData);
         } catch (Exception e) {
             e.printStackTrace();

kgBuilder-pro/src/main/java/com/warmer/web/dao/CustomDictDao.java

@@ -0,0 +1,15 @@
+package com.warmer.web.dao;
+
+import com.warmer.web.model.CustomDictEntry;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+
+@Mapper
+public interface CustomDictDao {
+    List<CustomDictEntry> list(@Param("domain") String domain, @Param("enabled") Integer enabled);
+    int insert(CustomDictEntry entry);
+    int disable(@Param("id") Integer id);
+    CustomDictEntry getByWord(@Param("word") String word, @Param("domain") String domain);
+}

kgBuilder-pro/src/main/java/com/warmer/web/dao/KGGraphDao.java

@@ -1,9 +1,8 @@
 package com.warmer.web.dao;
 
-
+import com.warmer.base.util.GraphPageRecord;
 import com.warmer.web.model.NodeItem;
 import com.warmer.web.request.GraphQuery;
-import com.warmer.base.util.GraphPageRecord;
 import com.warmer.web.request.NodeCoordinateItem;
 import org.apache.ibatis.annotations.Mapper;
 
@@ -11,7 +10,6 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
-
 @Mapper
 public interface KGGraphDao {
     /**
@@ -239,4 +237,6 @@ public interface KGGraphDao {
      */
     void batchInsertByCsv(String domain, String csvUrl, int status) ;
     void updateCoordinateOfNode(String domain, String uuid, Double fx, Double fy);
+    // 新增：重命名领域标签
+    void renameKgDomain(String oldDomain, String newDomain);
 }

kgBuilder-pro/src/main/java/com/warmer/web/dao/impl/KGGraphRepository.java

@@ -19,32 +19,50 @@ import java.util.Map;
 @Repository
 public class KGGraphRepository implements KGGraphDao {
     /**
-     * 领域标签分页
+     * 领域标签分页（支持按关键字过滤）
      */
     @Override
     public GraphPageRecord<HashMap<String, Object>> getPageDomain(GraphQuery queryItem) {
         GraphPageRecord<HashMap<String, Object>> resultRecord = new GraphPageRecord<HashMap<String, Object>>();
         try {
-            String totalCountQuery = "MATCH (n) RETURN count(distinct labels(n)) as count";
+            String[] keywords = queryItem.getKeywords();
-            long totalCount = 0;
+            String whereClause = "";
-            totalCount = Neo4jUtil.getGraphValue(totalCountQuery);
+            if (keywords != null && keywords.length > 0) {
-            if (totalCount > 0) {
+                List<String> conds = new ArrayList<>();
+                for (String kw : keywords) {
+                    if (!StringUtil.isBlank(kw)) {
+                        conds.add(String.format("domain CONTAINS '%s'", kw));
+                    }
+                }
+                if (conds.size() > 0) {
+                    whereClause = "WHERE " + String.join(" OR ", conds);
+                }
+            }
+            // total count of distinct labels, with optional filter
+            String totalCountQuery = String.format(
+                "MATCH (n) UNWIND labels(n) AS label WITH DISTINCT label AS domain %s RETURN count(domain) AS count",
+                whereClause
+            );
+            long totalCount = Neo4jUtil.getGraphValue(totalCountQuery);
+
             int skipCount = (queryItem.getPageIndex() - 1) * queryItem.getPageSize();
             int limitCount = queryItem.getPageSize();
+
+            // page query: domain label + node count, ordered desc
             String domainSql = String.format(
-                        "START n=node(*)  RETURN distinct labels(n) as domain,count(n) as nodeCount order by nodeCount desc SKIP %s LIMIT %s",
+                "MATCH (n) UNWIND labels(n) AS label WITH label AS domain, n %s " +
-                        skipCount, limitCount);
+                "RETURN domain, count(n) AS nodeCount ORDER BY nodeCount DESC SKIP %s LIMIT %s",
+                whereClause, skipCount, limitCount
+            );
             List<HashMap<String, Object>> pageList = Neo4jUtil.getGraphNode(domainSql);
+
             resultRecord.setPageIndex(queryItem.getPageIndex());
             resultRecord.setPageSize(queryItem.getPageSize());
             resultRecord.setTotalCount(totalCount);
             resultRecord.setNodeList(pageList);
-            }
-
         } catch (Exception e) {
             e.printStackTrace();
         }
-
         return resultRecord;
     }
 
@@ -60,7 +78,6 @@ public class KGGraphRepository implements KGGraphDao {
             Neo4jUtil.runCypherSql(deleteNode);
         } catch (Exception e) {
             e.printStackTrace();
-
         }
     }
 
@@ -723,4 +740,15 @@ public class KGGraphRepository implements KGGraphDao {
         }
         Neo4jUtil.runCypherSql(cypher);
     }
+    @Override
+    public void renameKgDomain(String oldDomain, String newDomain) {
+        try {
+            String addLabel = String.format("MATCH (n:`%s`) SET n:`%s`", oldDomain, newDomain);
+            Neo4jUtil.runCypherSql(addLabel);
+            String removeLabel = String.format("MATCH (n:`%s`) REMOVE n:`%s`", oldDomain, oldDomain);
+            Neo4jUtil.runCypherSql(removeLabel);
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+    }
 }

kgBuilder-pro/src/main/java/com/warmer/web/model/CustomDictEntry.java

@@ -0,0 +1,84 @@
+package com.warmer.web.model;
+
+public class CustomDictEntry {
+    private Integer id;
+    private String word;
+    private String nature;
+    private Integer freq;
+    private String domain;
+    private Boolean enabled;
+    private String source;
+    private java.sql.Timestamp createdAt;
+    private java.sql.Timestamp updatedAt;
+    public Integer getId() {
+        return id;
+    }
+
+    public void setId(Integer id) {
+        this.id = id;
+    }
+
+    public String getWord() {
+        return word;
+    }
+
+    public void setWord(String word) {
+        this.word = word;
+    }
+
+    public String getNature() {
+        return nature;
+    }
+
+    public void setNature(String nature) {
+        this.nature = nature;
+    }
+
+    public Integer getFreq() {
+        return freq;
+    }
+
+    public void setFreq(Integer freq) {
+        this.freq = freq;
+    }
+
+    public String getDomain() {
+        return domain;
+    }
+
+    public void setDomain(String domain) {
+        this.domain = domain;
+    }
+
+    public Boolean getEnabled() {
+        return enabled;
+    }
+
+    public void setEnabled(Boolean enabled) {
+        this.enabled = enabled;
+    }
+
+    public String getSource() {
+        return source;
+    }
+
+    public void setSource(String source) {
+        this.source = source;
+    }
+
+    public java.sql.Timestamp getCreatedAt() {
+        return createdAt;
+    }
+
+    public void setCreatedAt(java.sql.Timestamp createdAt) {
+        this.createdAt = createdAt;
+    }
+
+    public java.sql.Timestamp getUpdatedAt() {
+        return updatedAt;
+    }
+
+    public void setUpdatedAt(java.sql.Timestamp updatedAt) {
+        this.updatedAt = updatedAt;
+    }
+}

kgBuilder-pro/src/main/java/com/warmer/web/request/GraphQuery.java

@@ -14,4 +14,10 @@ public class GraphQuery{
 	private int matchType;
     private int pageSize = 10;
     private int pageIndex = 1;
+    
+    // 新增字段：支持智能搜索
+    private String originalText; // 原始故障描述文本
+    private String[] keywords; // 提取的关键字数组
+    private Integer searchMode; // 搜索模式：0=传统单关键字，1=智能多关键字，2=语义搜索
+    private Boolean enableKeywordExtraction; // 是否启用关键字提取
 }

kgBuilder-pro/src/main/java/com/warmer/web/request/IntelligentSearchRequest.java

@@ -0,0 +1,42 @@
+package com.warmer.web.request;
+
+import lombok.Data;
+
+/**
+ * 智能搜索请求对象
+ * 
+ * @author tanc
+ */
+@Data
+public class IntelligentSearchRequest {
+    
+    /**
+     * 输入的文本内容
+     */
+    private String text;
+    
+    /**
+     * 搜索的领域/图谱名称
+     */
+    private String domain;
+    
+    /**
+     * 搜索模式：0=关键词匹配，1=模糊匹配，2=语义搜索
+     */
+    private Integer searchMode = 0;
+    
+    /**
+     * 是否返回关键词提取结果
+     */
+    private Boolean includeKeywords = true;
+    
+    /**
+     * 最大返回结果数量
+     */
+    private Integer maxResults = 20;
+    
+    /**
+     * 是否包含关系信息
+     */
+    private Boolean includeRelations = true;
+}

kgBuilder-pro/src/main/java/com/warmer/web/service/CustomDictService.java

@@ -0,0 +1,14 @@
+package com.warmer.web.service;
+
+import com.warmer.web.model.CustomDictEntry;
+
+import java.util.List;
+
+public interface CustomDictService {
+    void loadAllToHanLPIfNeeded();
+    void refreshDomainToHanLP(String domain);
+    List<CustomDictEntry> list(String domain, Integer enabled);
+    boolean addWord(String word, String nature, Integer freq, String domain, String source);
+    boolean disable(Integer id);
+    boolean exists(String word, String domain);
+}

kgBuilder-pro/src/main/java/com/warmer/web/service/IntelligentSearchService.java

@@ -0,0 +1,96 @@
+package com.warmer.web.service;
+
+import com.warmer.base.service.KeywordExtractionService;
+import com.warmer.web.request.GraphQuery;
+
+import java.util.*;
+
+/**
+ * 智能搜索服务接口
+ * 
+ * @author tanc
+ */
+public interface IntelligentSearchService {
+    
+    /**
+     * 智能搜索 - 基于文本直接搜索知识图谱
+     * 
+     * @param text 输入文本
+     * @param domain 搜索领域
+     * @return 搜索结果
+     */
+    Map<String, Object> intelligentSearch(String text, String domain);
+    
+    /**
+     * 根据关键词搜索节点
+     * 
+     * @param keyword 关键词
+     * @param domain 搜索领域
+     * @return 搜索结果
+     */
+    Map<String, Object> searchNodesByKeyword(String keyword, String domain);
+    
+    /**
+     * 创建空的搜索结果
+     * 
+     * @return 空的搜索结果
+     */
+    Map<String, Object> createEmptySearchResult();
+    
+    /**
+     * 去除重复的节点
+     * 
+     * @param nodes 节点列表
+     * @return 去重后的节点列表
+     */
+    List<Map<String, Object>> removeDuplicateNodes(List<Map<String, Object>> nodes);
+    
+    /**
+     * 去除重复的关系
+     * 
+     * @param relations 关系列表
+     * @return 去重后的关系列表
+     */
+    List<Map<String, Object>> removeDuplicateRelations(List<Map<String, Object>> relations);
+    
+    /**
+     * 处理智能搜索请求
+     * 
+     * @param query 搜索请求
+     * @return 处理后的搜索请求
+     */
+    GraphQuery processIntelligentSearch(GraphQuery query);
+    
+    /**
+     * 获取关键字提取结果（用于前端显示）
+     * 
+     * @param text 原始文本
+     * @return 关键字信息列表
+     */
+    List<KeywordExtractionService.KeywordInfo> getKeywordExtractionResult(String text);
+    
+    /**
+     * 获取关键词提取结果
+     * 
+     * @param text 输入文本
+     * @return 关键词提取结果
+     */
+    List<KeywordExtractionService.KeywordInfo> getKeywordExtractionResultMap(String text);
+    
+    /**
+     * 获取搜索建议
+     * 
+     * @param query 查询关键词
+     * @param domain 领域名称
+     * @return 节点名称建议列表
+     */
+    List<String> getSearchSuggestions(String query, String domain);
+    
+    /**
+     * 提取关键词（简单版本）
+     * 
+     * @param text 原始文本
+     * @return 关键词列表
+     */
+    List<String> extractKeywords(String text);
+}

kgBuilder-pro/src/main/java/com/warmer/web/service/KGGraphService.java

@@ -24,6 +24,8 @@ public interface KGGraphService {
 	 * @param domain
 	 */
 	void deleteKGDomain(String domain);
+	// 新增：重命名领域标签
+	void renameKGDomain(String oldDomain, String newDomain);
 
 	/**
 	 * 查询图谱节点和关系

kgBuilder-pro/src/main/java/com/warmer/web/service/impl/CustomDictServiceImpl.java

@@ -0,0 +1,76 @@
+package com.warmer.web.service.impl;
+
+import com.hankcs.hanlp.dictionary.CustomDictionary;
+import com.warmer.web.dao.CustomDictDao;
+import com.warmer.web.model.CustomDictEntry;
+import com.warmer.web.service.CustomDictService;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Service;
+
+import java.util.List;
+import java.util.concurrent.atomic.AtomicBoolean;
+
+@Service
+public class CustomDictServiceImpl implements CustomDictService {
+    @Autowired
+    private CustomDictDao customDictDao;
+
+    private final AtomicBoolean loaded = new AtomicBoolean(false);
+
+    @Override
+    public void loadAllToHanLPIfNeeded() {
+        if (loaded.compareAndSet(false, true)) {
+            List<CustomDictEntry> all = customDictDao.list(null, 1);
+            for (CustomDictEntry e : all) {
+                try {
+                    CustomDictionary.add(e.getWord(), (e.getNature() == null ? "n" : e.getNature()) + " " + (e.getFreq() == null ? 1000 : e.getFreq()));
+                } catch (Exception ignored) {}
+            }
+        }
+    }
+
+    @Override
+    public void refreshDomainToHanLP(String domain) {
+        List<CustomDictEntry> items = customDictDao.list(domain, 1);
+        for (CustomDictEntry e : items) {
+            try {
+                CustomDictionary.add(e.getWord(), (e.getNature() == null ? "n" : e.getNature()) + " " + (e.getFreq() == null ? 1000 : e.getFreq()));
+            } catch (Exception ignored) {}
+        }
+    }
+
+    @Override
+    public List<CustomDictEntry> list(String domain, Integer enabled) {
+        return customDictDao.list(domain, enabled);
+    }
+
+    @Override
+    public boolean addWord(String word, String nature, Integer freq, String domain, String source) {
+        if (exists(word, domain)) return true;
+        CustomDictEntry e = new CustomDictEntry();
+        e.setWord(word);
+        e.setNature(nature == null ? "n" : nature);
+        e.setFreq(freq == null ? 1000 : freq);
+        e.setDomain(domain);
+        e.setEnabled(true);
+        e.setSource(source == null ? "manual" : source);
+        int ret = customDictDao.insert(e);
+        if (ret > 0) {
+            try {
+                CustomDictionary.add(e.getWord(), e.getNature() + " " + e.getFreq());
+            } catch (Exception ignored) {}
+            return true;
+        }
+        return false;
+    }
+
+    @Override
+    public boolean disable(Integer id) {
+        return customDictDao.disable(id) > 0;
+    }
+
+    @Override
+    public boolean exists(String word, String domain) {
+        return customDictDao.getByWord(word, domain) != null;
+    }
+}

kgBuilder-pro/src/main/java/com/warmer/web/service/impl/IntelligentSearchServiceImpl.java

@@ -0,0 +1,323 @@
+package com.warmer.web.service.impl;
+
+import com.warmer.base.service.KeywordExtractionService;
+import com.warmer.base.util.Neo4jUtil;
+import com.warmer.web.request.GraphQuery;
+import com.warmer.web.service.IntelligentSearchService;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Service;
+import org.springframework.util.StringUtils;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+/**
+ * 智能搜索服务实现类
+ * 
+ * @author tanc
+ */
+@Service
+public class IntelligentSearchServiceImpl implements IntelligentSearchService {
+
+    @Autowired
+    private KeywordExtractionService keywordExtractionService;
+    @Autowired
+    private com.warmer.web.service.CustomDictService customDictService;
+
+    @Override
+    public Map<String, Object> intelligentSearch(String text, String domain) {
+        Map<String, Object> result = new HashMap<>();
+        
+        try {
+            // 1. 关键词提取
+            List<String> keywords = extractKeywords(text);
+            
+            // 2. 在知识图谱中搜索匹配的节点和关系
+            Map<String, Object> searchResult = searchInKnowledgeGraph(keywords, domain);
+            
+            // 3. 整合结果
+            result.put("success", true);
+            result.put("originalText", text);
+            result.put("domain", domain);
+            result.put("extractedKeywords", keywords);
+            result.put("nodes", searchResult.get("nodes"));
+            result.put("links", searchResult.get("relationships")); // 前端期望的字段名
+            result.put("relationships", searchResult.get("relationships")); // 保持兼容性
+            result.put("matchedCount", searchResult.get("matchedCount"));
+            
+        } catch (Exception e) {
+            result.put("success", false);
+            result.put("message", "搜索过程中发生错误: " + e.getMessage());
+            result.put("originalText", text);
+            result.put("domain", domain);
+            result.put("nodes", new ArrayList<>());
+            result.put("links", new ArrayList<>());
+            result.put("relationships", new ArrayList<>());
+        }
+        
+        return result;
+    }
+    
+
+    
+    /**
+     * 判断是否为停用词
+     */
+    private boolean isStopWord(String word) {
+        Set<String> stopWords = new HashSet<>(Arrays.asList(
+            "的", "了", "在", "是", "我", "有", "和", "就", "不", "人", "都", "一", "一个", "上", "也", "很", "到", "说", "要", "去", "你", "会", "着", "没有", "看", "好", "自己", "这",
+            "the", "a", "an", "and", "or", "but", "in", "on", "at", "to", "for", "of", "with", "by", "is", "are", "was", "were", "be", "been", "have", "has", "had", "do", "does", "did", "will", "would", "could", "should"
+        ));
+        return stopWords.contains(word.toLowerCase());
+    }
+    
+    /**
+     * 在知识图谱中搜索匹配的节点和关系
+     */
+    private Map<String, Object> searchInKnowledgeGraph(List<String> keywords, String domain) {
+        Map<String, Object> result = new HashMap<>();
+        List<HashMap<String, Object>> allNodes = new ArrayList<>();
+        List<HashMap<String, Object>> allRelationships = new ArrayList<>();
+        Set<String> processedNodeIds = new HashSet<>();
+        int matchedCount = 0;
+        
+        if (keywords.isEmpty() || StringUtils.isEmpty(domain)) {
+            result.put("nodes", allNodes);
+            result.put("relationships", allRelationships);
+            result.put("matchedCount", matchedCount);
+            return result;
+        }
+        
+        try {
+            // 为每个关键词搜索匹配的节点
+            for (String keyword : keywords) {
+                // 构建Cypher查询语句，使用CONTAINS进行模糊匹配
+                String cypherSql = String.format(
+                    "MATCH (n:`%s`) WHERE n.name CONTAINS '%s' " +
+                    "OPTIONAL MATCH (n)-[r]-(m:`%s`) " +
+                    "RETURN n, r, m LIMIT 10", 
+                    domain, keyword, domain
+                );
+                
+                // 执行查询
+                HashMap<String, Object> searchResult = Neo4jUtil.getGraphNodeAndShip(cypherSql);
+                
+                if (searchResult != null) {
+                    // 处理节点 - Neo4jUtil返回的字段是 "node"
+                    @SuppressWarnings("unchecked")
+                    List<HashMap<String, Object>> nodes = (List<HashMap<String, Object>>) searchResult.get("node");
+                    if (nodes != null) {
+                        for (HashMap<String, Object> node : nodes) {
+                            String nodeId = String.valueOf(node.get("uuid"));
+                            if (!processedNodeIds.contains(nodeId)) {
+                                allNodes.add(node);
+                                processedNodeIds.add(nodeId);
+                                matchedCount++;
+                            }
+                        }
+                    }
+                    
+                    // 处理关系 - Neo4jUtil返回的字段是 "relationship"
+                    @SuppressWarnings("unchecked")
+                    List<HashMap<String, Object>> relationships = (List<HashMap<String, Object>>) searchResult.get("relationship");
+                    if (relationships != null) {
+                        allRelationships.addAll(relationships);
+                    }
+                }
+            }
+            
+            // 如果没有找到匹配的节点，尝试更宽泛的搜索
+            if (allNodes.isEmpty() && !keywords.isEmpty()) {
+                // 搜索包含任意关键词的节点
+                String keywordPattern = String.join("|", keywords);
+                String cypherSql = String.format(
+                    "MATCH (n:`%s`) WHERE n.name =~ '.*(%s).*' " +
+                    "RETURN n LIMIT 20", 
+                    domain, keywordPattern
+                );
+                
+                List<HashMap<String, Object>> nodes = Neo4jUtil.getGraphNode(cypherSql);
+                if (nodes != null) {
+                    allNodes.addAll(nodes);
+                    matchedCount = nodes.size();
+                }
+            }
+            
+        } catch (Exception e) {
+            // 记录错误但不抛出异常，返回空结果
+            System.err.println("搜索知识图谱时发生错误: " + e.getMessage());
+        }
+        
+        // 去重关系
+        allRelationships = allRelationships.stream()
+            .collect(Collectors.toMap(
+                rel -> rel.get("uuid"),
+                rel -> rel,
+                (existing, replacement) -> existing
+            ))
+            .values()
+            .stream()
+            .collect(Collectors.toList());
+        
+        // 确保返回空列表而不是null
+        result.put("nodes", allNodes != null ? allNodes : new ArrayList<>());
+        result.put("relationships", allRelationships != null ? allRelationships : new ArrayList<>());
+        result.put("matchedCount", matchedCount);
+        
+        return result;
+    }
+
+    @Override
+    public Map<String, Object> searchNodesByKeyword(String keyword, String domain) {
+        try {
+            // 如果没有指定领域，尝试在所有领域中搜索
+            if (domain == null || domain.trim().isEmpty()) {
+                // 可以在这里实现跨领域搜索逻辑
+                // 暂时返回空结果
+                return createEmptySearchResult();
+            }
+            
+            // 构建Cypher查询语句，使用CONTAINS进行模糊匹配
+            String cypherSql = String.format(
+                "MATCH (n:`%s`) WHERE n.name CONTAINS '%s' " +
+                "OPTIONAL MATCH (n)-[r]-(m:`%s`) " +
+                "RETURN n, r, m LIMIT 10", 
+                domain, keyword, domain
+            );
+            
+            // 执行查询
+            return Neo4jUtil.getGraphNodeAndShip(cypherSql);
+        } catch (Exception e) {
+            System.err.println("搜索节点时出错: " + e.getMessage());
+            return createEmptySearchResult();
+        }
+    }
+
+    @Override
+    public Map<String, Object> createEmptySearchResult() {
+        Map<String, Object> result = new HashMap<>();
+        result.put("nodes", new ArrayList<>());
+        result.put("relationships", new ArrayList<>());
+        return result;
+    }
+
+    @Override
+    public List<Map<String, Object>> removeDuplicateNodes(List<Map<String, Object>> nodes) {
+        Map<String, Map<String, Object>> uniqueNodes = new HashMap<>();
+        for (Map<String, Object> node : nodes) {
+            String nodeId = String.valueOf(node.get("uuid"));
+            if (nodeId != null && !uniqueNodes.containsKey(nodeId)) {
+                uniqueNodes.put(nodeId, node);
+            }
+        }
+        return new ArrayList<>(uniqueNodes.values());
+    }
+
+    @Override
+    public List<Map<String, Object>> removeDuplicateRelations(List<Map<String, Object>> relations) {
+        Map<String, Map<String, Object>> uniqueRelations = new HashMap<>();
+        for (Map<String, Object> relation : relations) {
+            String relationKey = relation.get("sourceId") + "-" + relation.get("targetId") + "-" + relation.get("relation");
+            if (!uniqueRelations.containsKey(relationKey)) {
+                uniqueRelations.put(relationKey, relation);
+            }
+        }
+        return new ArrayList<>(uniqueRelations.values());
+    }
+
+    @Override
+    public GraphQuery processIntelligentSearch(GraphQuery query) {
+        // 处理智能搜索请求的逻辑
+        if (query != null && query.getOriginalText() != null) {
+            // 提取关键词并设置到查询对象中
+            List<String> keywords = extractKeywords(query.getOriginalText());
+            // 设置提取的关键词到查询对象中
+            if (keywords != null && !keywords.isEmpty()) {
+                query.setKeywords(keywords.toArray(new String[0]));
+            }
+        }
+        return query;
+    }
+
+    @Override
+    public List<KeywordExtractionService.KeywordInfo> getKeywordExtractionResult(String text) {
+        return keywordExtractionService.extractKeywordsWithInfo(text);
+    }
+
+    @Override
+    public List<KeywordExtractionService.KeywordInfo> getKeywordExtractionResultMap(String text) {
+        return keywordExtractionService.extractKeywordsWithInfo(text);
+    }
+
+    @Override
+    public List<String> extractKeywords(String text) {
+        // 保障DB词典已加载到HanLP，避免每次都改代码
+        customDictService.loadAllToHanLPIfNeeded();
+        return keywordExtractionService.extractKeywords(text);
+        
+        /* 本地简单实现（如果不想使用KeywordExtractionService可以使用这个）
+        if (StringUtils.isEmpty(text)) {
+            return new ArrayList<>();
+        }
+        
+        // 移除标点符号和特殊字符，保留中文、英文和数字
+        String cleanText = text.replaceAll("[\\p{Punct}\\s]+", " ");
+        
+        // 分词（简单按空格分割，实际项目中可以使用jieba等分词工具）
+        String[] words = cleanText.split("\\s+");
+        
+        List<String> keywords = new ArrayList<>();
+        for (String word : words) {
+            word = word.trim();
+            if (!StringUtils.isEmpty(word) && word.length() > 1) {
+                // 过滤掉常见的停用词
+                if (!isStopWord(word)) {
+                    keywords.add(word);
+                }
+            }
+        }
+        
+        // 去重并返回
+        return keywords.stream().distinct().collect(Collectors.toList());
+        */
+    }
+    
+    @Override
+    public List<String> getSearchSuggestions(String query, String domain) {
+        List<String> suggestions = new ArrayList<>();
+        
+        try {
+            if (query == null || query.trim().isEmpty() || domain == null || domain.trim().isEmpty()) {
+                return suggestions;
+            }
+            
+            // 构建Cypher查询，获取包含查询关键词的节点名称
+            String cypherSql = String.format(
+                "MATCH (n:`%s`) WHERE n.name CONTAINS '%s' " +
+                "RETURN DISTINCT n.name as name LIMIT 10", 
+                domain, query.trim()
+            );
+            
+            // 执行查询
+            List<HashMap<String, Object>> results = Neo4jUtil.getGraphTable(cypherSql);
+            
+            if (results != null && !results.isEmpty()) {
+                for (HashMap<String, Object> result : results) {
+                    Object nameObj = result.get("name");
+                    if (nameObj != null) {
+                        String name = nameObj.toString();
+                        // 移除可能的引号
+                        name = name.replaceAll("^\"|\"$", "");
+                        if (!name.isEmpty()) {
+                            suggestions.add(name);
+                        }
+                    }
+                }
+            }
+        } catch (Exception e) {
+            System.err.println("获取搜索建议时出错: " + e.getMessage());
+        }
+        
+        return suggestions;
+    }
+}

kgBuilder-pro/src/main/java/com/warmer/web/service/impl/KGGraphServiceImpl.java

@@ -54,7 +54,11 @@ public class KGGraphServiceImpl implements KGGraphService {
     public void deleteKGDomain(String domain) {
         kgRepository.deleteKgDomain(domain);
     }
-
+    // 新增：重命名领域标签
+    @Override
+    public void renameKGDomain(String oldDomain, String newDomain) {
+        kgRepository.renameKgDomain(oldDomain, newDomain);
+    }
     @Override
     public HashMap<String, Object> queryGraphResult(GraphQuery query) {
         return kgRepository.queryGraphResult(query);

kgBuilder-pro/src/main/resources/hanlp.properties

@@ -1,40 +0,0 @@
-#本配置文件中的路径的根目录，根目录+其他路径=完整路径（支持相对路径，请参考：https://github.com/hankcs/HanLP/pull/254）
-#Windows用户请注意，路径分隔符统一使用/
-root=D:/HanLP/
-#核心词典路径
-CoreDictionaryPath=data/dictionary/CoreNatureDictionary.txt
-#2元语法词典路径
-BiGramDictionaryPath=data/dictionary/CoreNatureDictionary.ngram.txt
-#停用词词典路径
-CoreStopWordDictionaryPath=data/dictionary/stopwords.txt
-#同义词词典路径
-CoreSynonymDictionaryDictionaryPath=data/dictionary/synonym/CoreSynonym.txt
-#人名词典路径
-PersonDictionaryPath=data/dictionary/person/nr.txt
-#人名词典转移矩阵路径
-PersonDictionaryTrPath=data/dictionary/person/nr.tr.txt
-#繁简词典根目录
-tcDictionaryRoot=data/dictionary/tc
-#自定义词典路径，用;隔开多个自定义词典，空格开头表示在同一个目录，使用“文件名 词性”形式则表示这个词典的词性默认是该词性。优先级递减。
-#另外data/dictionary/custom/CustomDictionary.txt是个高质量的词库，请不要删除。所有词典统一使用【UTF-8】编码。
-#注意，每次更新自己定义的新词典myDict.txt的内容时,要删除同目录下的词典缓存文件CustomDictionary.txt.bin
-CustomDictionaryPath=data/dictionary/custom/CustomDictionary.txt; 现代汉语补充词库.txt; 全国地名大全.txt ns; 人名词典.txt; 机构名词典.txt; 上海地名.txt ns;data/dictionary/person/nrf.txt nrf;
-
-#CRF分词模型路径
-CRFSegmentModelPath=data/model/segment/CRFSegmentModel.txt
-#HMM分词模型
-HMMSegmentModelPath=data/model/segment/HMMSegmentModel.bin
-#分词结果是否展示词性
-ShowTermNature=true
-#IO适配器，实现com.hankcs.hanlp.corpus.io.IIOAdapter接口以在不同的平台（Hadoop、Redis等）上运行HanLP
-#默认的IO适配器如下，该适配器是基于普通文件系统的。
-#IOAdapter=com.hankcs.hanlp.corpus.io.FileIOAdapter
-#感知机词法分析器
-PerceptronCWSModelPath=data/model/perceptron/pku199801/cws.bin
-PerceptronPOSModelPath=data/model/perceptron/pku199801/pos.bin
-PerceptronNERModelPath=data/model/perceptron/pku199801/ner.bin
-#CRF词法分析器
-CRFCWSModelPath=data/model/crf/pku199801/cws.bin
-CRFPOSModelPath=data/model/crf/pku199801/pos.bin
-CRFNERModelPath=data/model/crf/pku199801/ner.bin
-#更多配置项请参考 https://github.com/hankcs/HanLP/blob/master/src/main/java/com/hankcs/hanlp/HanLP.java#L59 自行添加

kgBuilder-pro/src/main/resources/mapping/CorpusDao.xml

@@ -1,244 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
-<mapper namespace="com.warmer.kgbuilder.dao.CorpusDao">
-
-    <!-- 语料库文档结果映射 -->
-    <resultMap id="CorpusDocumentResultMap" type="com.warmer.kgbuilder.domain.CorpusDocument">
-        <id property="id" column="id" jdbcType="INTEGER"/>
-        <result property="domainId" column="domain_id" jdbcType="INTEGER"/>
-        <result property="title" column="title" jdbcType="VARCHAR"/>
-        <result property="content" column="content" jdbcType="LONGVARCHAR"/>
-        <result property="documentType" column="document_type" jdbcType="VARCHAR"/>
-        <result property="source" column="source" jdbcType="VARCHAR"/>
-        <result property="status" column="status" jdbcType="INTEGER"/>
-        <result property="createUser" column="create_user" jdbcType="VARCHAR"/>
-        <result property="createTime" column="create_time" jdbcType="TIMESTAMP"/>
-        <result property="updateUser" column="update_user" jdbcType="VARCHAR"/>
-        <result property="updateTime" column="update_time" jdbcType="TIMESTAMP"/>
-    </resultMap>
-
-    <!-- 关键词权重结果映射 -->
-    <resultMap id="KeywordWeightResultMap" type="com.warmer.kgbuilder.domain.KeywordWeight">
-        <id property="id" column="id" jdbcType="INTEGER"/>
-        <result property="domainId" column="domain_id" jdbcType="INTEGER"/>
-        <result property="keyword" column="keyword" jdbcType="VARCHAR"/>
-        <result property="weight" column="weight" jdbcType="DECIMAL"/>
-        <result property="category" column="category" jdbcType="VARCHAR"/>
-        <result property="description" column="description" jdbcType="VARCHAR"/>
-        <result property="status" column="status" jdbcType="INTEGER"/>
-        <result property="createUser" column="create_user" jdbcType="VARCHAR"/>
-        <result property="createTime" column="create_time" jdbcType="TIMESTAMP"/>
-        <result property="updateUser" column="update_user" jdbcType="VARCHAR"/>
-        <result property="updateTime" column="update_time" jdbcType="TIMESTAMP"/>
-    </resultMap>
-
-    <!-- 词频统计结果映射 -->
-    <resultMap id="TermFrequencyResultMap" type="com.warmer.kgbuilder.domain.TermFrequency">
-        <id property="id" column="id" jdbcType="BIGINT"/>
-        <result property="domainId" column="domain_id" jdbcType="INTEGER"/>
-        <result property="term" column="term" jdbcType="VARCHAR"/>
-        <result property="documentFrequency" column="document_frequency" jdbcType="INTEGER"/>
-        <result property="totalFrequency" column="total_frequency" jdbcType="INTEGER"/>
-        <result property="idfValue" column="idf_value" jdbcType="DECIMAL"/>
-        <result property="lastUpdate" column="last_update" jdbcType="TIMESTAMP"/>
-    </resultMap>
-
-    <!-- ========== 语料库文档查询 ========== -->
-    
-    <select id="queryDocumentsByDomain" resultMap="CorpusDocumentResultMap">
-        SELECT * FROM kg_corpus_document 
-        WHERE domain_id = #{domainId} AND status = 1
-        ORDER BY create_time DESC
-    </select>
-
-    <select id="queryDocumentsByType" resultMap="CorpusDocumentResultMap">
-        SELECT * FROM kg_corpus_document 
-        WHERE domain_id = #{domainId} AND document_type = #{documentType} AND status = 1
-        ORDER BY create_time DESC
-    </select>
-
-    <select id="queryAllActiveDocuments" resultMap="CorpusDocumentResultMap">
-        SELECT * FROM kg_corpus_document 
-        WHERE status = 1
-        ORDER BY domain_id, create_time DESC
-    </select>
-
-    <select id="queryDocumentById" resultMap="CorpusDocumentResultMap">
-        SELECT * FROM kg_corpus_document WHERE id = #{id}
-    </select>
-
-    <insert id="insertDocument" parameterType="com.warmer.kgbuilder.domain.CorpusDocument">
-        INSERT INTO kg_corpus_document (
-            domain_id, title, content, document_type, source, status, 
-            create_user, create_time, update_user, update_time
-        ) VALUES (
-            #{domainId}, #{title}, #{content}, #{documentType}, #{source}, #{status},
-            #{createUser}, #{createTime}, #{updateUser}, #{updateTime}
-        )
-    </insert>
-
-    <insert id="batchInsertDocuments">
-        INSERT INTO kg_corpus_document (
-            domain_id, title, content, document_type, source, status, 
-            create_user, create_time, update_user, update_time
-        ) VALUES
-        <foreach collection="documents" item="doc" separator=",">
-            (#{doc.domainId}, #{doc.title}, #{doc.content}, #{doc.documentType}, #{doc.source}, #{doc.status},
-             #{doc.createUser}, #{doc.createTime}, #{doc.updateUser}, #{doc.updateTime})
-        </foreach>
-    </insert>
-
-    <update id="updateDocument" parameterType="com.warmer.kgbuilder.domain.CorpusDocument">
-        UPDATE kg_corpus_document SET
-            title = #{title},
-            content = #{content},
-            document_type = #{documentType},
-            source = #{source},
-            status = #{status},
-            update_user = #{updateUser},
-            update_time = #{updateTime}
-        WHERE id = #{id}
-    </update>
-
-    <delete id="deleteDocument">
-        DELETE FROM kg_corpus_document WHERE id = #{id}
-    </delete>
-
-    <!-- ========== 关键词权重查询 ========== -->
-    
-    <select id="queryKeywordWeightsByDomain" resultMap="KeywordWeightResultMap">
-        SELECT * FROM kg_keyword_weight 
-        WHERE (domain_id = #{domainId} OR domain_id IS NULL) AND status = 1
-        ORDER BY weight DESC, keyword
-    </select>
-
-    <select id="queryGlobalKeywordWeights" resultMap="KeywordWeightResultMap">
-        SELECT * FROM kg_keyword_weight 
-        WHERE domain_id IS NULL AND status = 1
-        ORDER BY weight DESC, keyword
-    </select>
-
-    <select id="queryKeywordWeightsByCategory" resultMap="KeywordWeightResultMap">
-        SELECT * FROM kg_keyword_weight 
-        WHERE (domain_id = #{domainId} OR domain_id IS NULL) 
-        AND category = #{category} AND status = 1
-        ORDER BY weight DESC, keyword
-    </select>
-
-    <select id="queryKeywordWeight" resultMap="KeywordWeightResultMap">
-        SELECT * FROM kg_keyword_weight 
-        WHERE (domain_id = #{domainId} OR domain_id IS NULL) 
-        AND keyword = #{keyword} AND status = 1
-        ORDER BY domain_id DESC LIMIT 1
-    </select>
-
-    <insert id="insertKeywordWeight" parameterType="com.warmer.kgbuilder.domain.KeywordWeight">
-        INSERT INTO kg_keyword_weight (
-            domain_id, keyword, weight, category, description, status,
-            create_user, create_time, update_user, update_time
-        ) VALUES (
-            #{domainId}, #{keyword}, #{weight}, #{category}, #{description}, #{status},
-            #{createUser}, #{createTime}, #{updateUser}, #{updateTime}
-        )
-    </insert>
-
-    <insert id="batchInsertKeywordWeights">
-        INSERT INTO kg_keyword_weight (
-            domain_id, keyword, weight, category, description, status,
-            create_user, create_time, update_user, update_time
-        ) VALUES
-        <foreach collection="weights" item="weight" separator=",">
-            (#{weight.domainId}, #{weight.keyword}, #{weight.weight}, #{weight.category}, #{weight.description}, #{weight.status},
-             #{weight.createUser}, #{weight.createTime}, #{weight.updateUser}, #{weight.updateTime})
-        </foreach>
-    </insert>
-
-    <update id="updateKeywordWeight" parameterType="com.warmer.kgbuilder.domain.KeywordWeight">
-        UPDATE kg_keyword_weight SET
-            weight = #{weight},
-            category = #{category},
-            description = #{description},
-            status = #{status},
-            update_user = #{updateUser},
-            update_time = #{updateTime}
-        WHERE id = #{id}
-    </update>
-
-    <delete id="deleteKeywordWeight">
-        DELETE FROM kg_keyword_weight WHERE id = #{id}
-    </delete>
-
-    <!-- ========== 停用词查询 ========== -->
-    
-    <select id="queryStopWordsByDomain" resultType="String">
-        SELECT word FROM kg_stop_words 
-        WHERE (domain_id = #{domainId} OR domain_id IS NULL) AND status = 1
-        ORDER BY word
-    </select>
-
-    <select id="queryGlobalStopWords" resultType="String">
-        SELECT word FROM kg_stop_words 
-        WHERE domain_id IS NULL AND status = 1
-        ORDER BY word
-    </select>
-
-    <!-- ========== 词频统计查询 ========== -->
-    
-    <select id="queryTermFrequenciesByDomain" resultMap="TermFrequencyResultMap">
-        SELECT * FROM kg_term_frequency 
-        WHERE domain_id = #{domainId}
-        ORDER BY document_frequency DESC, term
-    </select>
-
-    <select id="queryTermFrequency" resultMap="TermFrequencyResultMap">
-        SELECT * FROM kg_term_frequency 
-        WHERE domain_id = #{domainId} AND term = #{term}
-    </select>
-
-    <insert id="insertTermFrequency" parameterType="com.warmer.kgbuilder.domain.TermFrequency">
-        INSERT INTO kg_term_frequency (
-            domain_id, term, document_frequency, total_frequency, idf_value, last_update
-        ) VALUES (
-            #{domainId}, #{term}, #{documentFrequency}, #{totalFrequency}, #{idfValue}, #{lastUpdate}
-        )
-    </insert>
-
-    <insert id="batchInsertTermFrequencies">
-        INSERT INTO kg_term_frequency (
-            domain_id, term, document_frequency, total_frequency, idf_value, last_update
-        ) VALUES
-        <foreach collection="frequencies" item="freq" separator=",">
-            (#{freq.domainId}, #{freq.term}, #{freq.documentFrequency}, #{freq.totalFrequency}, #{freq.idfValue}, #{freq.lastUpdate})
-        </foreach>
-    </insert>
-
-    <update id="updateTermFrequency" parameterType="com.warmer.kgbuilder.domain.TermFrequency">
-        UPDATE kg_term_frequency SET
-            document_frequency = #{documentFrequency},
-            total_frequency = #{totalFrequency},
-            idf_value = #{idfValue},
-            last_update = #{lastUpdate}
-        WHERE id = #{id}
-    </update>
-
-    <update id="batchUpdateTermFrequencies">
-        <foreach collection="frequencies" item="freq" separator=";">
-            UPDATE kg_term_frequency SET
-                document_frequency = #{freq.documentFrequency},
-                total_frequency = #{freq.totalFrequency},
-                idf_value = #{freq.idfValue},
-                last_update = #{freq.lastUpdate}
-            WHERE id = #{freq.id}
-        </foreach>
-    </update>
-
-    <delete id="deleteTermFrequency">
-        DELETE FROM kg_term_frequency WHERE id = #{id}
-    </delete>
-
-    <select id="countDocumentsByDomain" resultType="int">
-        SELECT COUNT(*) FROM kg_corpus_document 
-        WHERE domain_id = #{domainId} AND status = 1
-    </select>
-
-</mapper>

kgBuilder-pro/src/main/resources/mapping/CustomDictDao.xml

@@ -0,0 +1,46 @@
+<?xml version="1.0" encoding="UTF-8" ?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
+        "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.warmer.web.dao.CustomDictDao">
+    <resultMap id="CustomDictMap" type="com.warmer.web.model.CustomDictEntry">
+        <id property="id" column="id"/>
+        <result property="word" column="word"/>
+        <result property="nature" column="nature"/>
+        <result property="freq" column="freq"/>
+        <result property="domain" column="domain"/>
+        <result property="enabled" column="enabled"/>
+        <result property="source" column="source"/>
+        <result property="createdAt" column="created_at"/>
+        <result property="updatedAt" column="updated_at"/>
+    </resultMap>
+
+    <select id="list" resultMap="CustomDictMap">
+        SELECT * FROM kg_custom_dict
+        WHERE 1=1
+        <if test="domain != null and domain != ''">
+            AND domain = #{domain}
+        </if>
+        <if test="enabled != null">
+            AND enabled = #{enabled}
+        </if>
+        ORDER BY updated_at DESC
+    </select>
+
+    <select id="getByWord" resultMap="CustomDictMap">
+        SELECT * FROM kg_custom_dict
+        WHERE word = #{word}
+        <if test="domain != null and domain != ''">
+            AND domain = #{domain}
+        </if>
+        LIMIT 1
+    </select>
+
+    <insert id="insert" parameterType="com.warmer.web.model.CustomDictEntry" useGeneratedKeys="true" keyProperty="id">
+        INSERT INTO kg_custom_dict (word, nature, freq, domain, enabled, source)
+        VALUES (#{word}, #{nature}, #{freq}, #{domain}, #{enabled}, #{source})
+    </insert>
+
+    <update id="disable">
+        UPDATE kg_custom_dict SET enabled = 0 WHERE id = #{id}
+    </update>
+</mapper>

kgBuilder-pro/src/main/resources/mapping/KnowledgeGraphDao.xml

@@ -50,7 +50,7 @@
 	<select id="getDomainByLabel" resultMap="BaseResultMap">
 		SELECT
 		<include refid="Base_Column_List" />
-		FROM kg_domain where status=1 and `label`=#{label} order by createTime desc
+		FROM kg_domain where `label`=#{label} order by createTime desc LIMIT 1
 	</select>
 	<select id="getDomainList" resultMap="BaseResultMap" >
 		SELECT
@@ -96,6 +96,7 @@
         name =#{name} ,
         nodeCount=#{nodeCount},
         shipCount=#{shipCount},
+        status=#{status},
 		modifyUser=#{modifyUser} ,
 		modifyTime=now()
         WHERE id = #{id}

kgBuilder-ui/src/api/index.js

@@ -1,4 +1,2 @@
-import kgBuilderApi from "./modules/kgBuilderApi";
+export { default as kgBuilderApi } from "./modules/kgBuilderApi";
-import datasourceApi from "./modules/datasourceApi";
+export { default as datasourceApi } from "./modules/datasourceApi";
-
-export { kgBuilderApi, datasourceApi };

kgBuilder-ui/src/api/modules/kgBuilderApi.js

@@ -85,6 +85,16 @@ class kgBuilderApi extends BaseAPI{
   deleteDomain(data) {
     return this.post("/deleteDomain",data);
   }
+  renameDomain(data) {
+    return this.put("/kg/domain/rename", data);
+  }
+  renameDomain(data) {
+    return this.put("/kg/domain/rename", data, {
+      headers: {
+        'Content-Type': 'application/json'
+      }
+    });
+  }
   getRecommendGraph(data) {
     return this.post("/getRecommendGraph",data,{
       headers: {
@@ -149,6 +159,21 @@ class kgBuilderApi extends BaseAPI{
   download(data) {
     return this.get("/download/"+data,);
   }
+  intelligentSearch(data) {
+    return this.post("/intelligent/search", data, {
+      headers: {
+        'Content-Type': 'application/json'
+      }
+    });
+  }
+
+  getSearchSuggestions(query, domain) {
+    return this.get("/intelligent/suggestions", {
+      query,
+      domain
+    });
+  }
+
   updateCoordinateOfNode(data) {
     return this.post("/updateCoordinateOfNode",data,{
       headers: {

kgBuilder-ui/src/components/KGBuilderSimple.vue

@@ -51,9 +51,9 @@
                 <span>{{ item.工具书名称 }}</span>
               </div>
             </div>
-            <span class="datacontent" @click="linkto(item)" v-html="item.快照">
+            <span class="datacontent" @click="linkto(item)" v-html="item.快照"></span>
               {{ item.快照 }}
-            </span>
+         
           </div>
         </div>
       </div>

kgBuilder-ui/src/components/KGBuilder_v1.vue

@@ -109,7 +109,12 @@ export default {
       },
       widht: null,
       height: null,
-      isAddLink: false
+      isAddLink: false,
+      // 旋转动画配置
+      orbitAnimation: false,
+      orbitSpeed: 0.002,
+      orbitAngle: 0,
+      orbitTimer: null
     };
   },
   watch: {
@@ -142,6 +147,13 @@ export default {
       _this.initGraph();
     });
   },
+  beforeDestroy() {
+    // 清理动画定时器
+    if (this.orbitTimer) {
+      cancelAnimationFrame(this.orbitTimer);
+      this.orbitTimer = null;
+    }
+  },
   methods: {
     //画布右击
     initContainerRightClick(event) {
@@ -220,8 +232,8 @@ export default {
     // 更新画布数据
     updateGraph() {
       const _this = this;
-      const lks = this.graph.links;
+      const lks = this.graph.links || []; // 防止 undefined 错误
-      const nodes = this.graph.nodes;
+      const nodes = this.graph.nodes || []; // 防止 undefined 错误
       const links = [];
       nodes.forEach(function(n) {
         if (n.center === 1 || n.center === "1") {
@@ -1237,6 +1249,194 @@ export default {
     },
     changeCursor() {
       d3.select(".BOX-SVG").style("cursor", "crosshair"); //进入新增模式，鼠标变成＋
+    },
+    // 切换旋转动画
+    toggleOrbitAnimation() {
+      this.orbitAnimation = !this.orbitAnimation;
+      if (this.orbitAnimation) {
+        this.orbitAngle = 0; // 重置旋转角度
+        // 保持 simulation 持续运行，不让它停止
+        this.simulation.alphaTarget(0.3).restart();
+        // 启动持续的动画循环
+        this.startOrbitLoop();
+      } else {
+        this.simulation.alphaTarget(0).restart();
+        // 停止动画循环
+        if (this.orbitTimer) {
+          cancelAnimationFrame(this.orbitTimer);
+          this.orbitTimer = null;
+        }
+        // 恢复节点的原始固定状态
+        this.restoreNodeFixedState();
+      }
+      return this.orbitAnimation;
+    },
+    // 恢复节点的原始固定状态
+    restoreNodeFixedState() {
+      this.graph.nodes.forEach(function(d) {
+        if (d._originalFx !== undefined) {
+          d.fx = d._originalFx;
+          d.fy = d._originalFy;
+          delete d._originalFx;
+          delete d._originalFy;
+        }
+      });
+    },
+    // 启动旋转动画循环
+    startOrbitLoop() {
+      const _this = this;
+      const centerX = this.width / 2;
+      const centerY = this.height / 2;
+      
+      // 保存每个节点的初始状态，并准备旋转的节点列表
+      const nodeInitials = [];
+      
+      // 首先检查是否有明确标记的中心节点
+      let hasCenterNode = false;
+      _this.graph.nodes.forEach(function(d) {
+        if (d.center === 1 || d.center === "1") {
+          hasCenterNode = true;
+        }
+      });
+      
+      // 如果没有明确的中心节点，找到最接近中心的节点作为中心节点
+      let centerNode = null;
+      if (!hasCenterNode && _this.graph.nodes.length > 0) {
+        let minDistance = Infinity;
+        _this.graph.nodes.forEach(function(d) {
+          const dx = d.x - centerX;
+          const dy = d.y - centerY;
+          const distance = Math.sqrt(dx * dx + dy * dy);
+          if (distance < minDistance) {
+            minDistance = distance;
+            centerNode = d;
+          }
+        });
+        console.log('未找到标记的中心节点，自动选择最接近中心的节点:', centerNode ? centerNode.name : 'null');
+      }
+      
+      _this.graph.nodes.forEach(function(d) {
+        // 保存节点的原始固定状态
+        if (!d._originalFx) {
+          d._originalFx = d.fx;
+          d._originalFy = d.fy;
+        }
+        
+        // 判断是否是中心节点
+        const isCenterNode = (d.center === 1 || d.center === "1") || (centerNode && d.uuid === centerNode.uuid);
+        
+        if (!isCenterNode) {
+          // 非中心节点：准备旋转
+          const dx = d.x - centerX;
+          const dy = d.y - centerY;
+          const distance = Math.sqrt(dx * dx + dy * dy);
+          const angle = Math.atan2(dy, dx);
+          
+          nodeInitials.push({
+            node: d,
+            distance: distance,
+            initialAngle: angle
+          });
+        } else {
+          console.log('中心节点:', d.name || d.uuid);
+        }
+      });
+      
+      console.log('启动旋转动画，节点总数:', _this.graph.nodes.length, '可旋转节点数:', nodeInitials.length);
+      
+      function animate() {
+        if (!_this.orbitAnimation) return;
+        
+        _this.orbitAngle += _this.orbitSpeed;
+        
+        // 更新所有非固定节点的位置
+        nodeInitials.forEach(function(item) {
+          const newAngle = item.initialAngle + _this.orbitAngle;
+          item.node.x = centerX + item.distance * Math.cos(newAngle);
+          item.node.y = centerY + item.distance * Math.sin(newAngle);
+        });
+        
+        // 强制更新节点位置显示
+        _this.updateNodePositions();
+        
+        // 继续下一帧
+        _this.orbitTimer = requestAnimationFrame(animate);
+      }
+      
+      this.orbitTimer = requestAnimationFrame(animate);
+    },
+    // 更新节点位置显示
+    updateNodePositions() {
+      const _this = this;
+      
+      // 更新节点圆圈 - 节点是circle元素，不是g元素
+      this.nodeGroup.selectAll("circle")
+        .attr("cx", function(d) {
+          return d.x;
+        })
+        .attr("cy", function(d) {
+          return d.y;
+        });
+      
+      // 更新节点文字 - 文字元素
+      this.nodeTextGroup.selectAll("text")
+        .attr("x", function(d) {
+          return d.x;
+        })
+        .attr("y", function(d) {
+          return d.y;
+        });
+      
+      // 更新节点按钮组
+      this.nodeButtonGroup.selectAll("g")
+        .attr("transform", function(d) {
+          return "translate(" + d.x + "," + d.y + ") scale(1)";
+        });
+      
+      // 更新节点符号
+      this.nodeSymbolGroup.selectAll("path")
+        .attr("transform", function(d) {
+          return "translate(" + (d.x + 8) + "," + (d.y - 30) + ") scale(1)";
+        });
+      
+      // 更新连线
+      this.linkGroup.selectAll("path").attr("d", function(d) {
+        const dx = d.target.x - d.source.x;
+        const dy = d.target.y - d.source.y;
+        const dr = Math.sqrt(dx * dx + dy * dy);
+        const unevenCorrection = d.sameUneven ? 0 : 0.5;
+        const curvature = 2;
+        let arc = (1.0 / curvature) * ((dr * d.maxSameHalf) / (d.sameIndexCorrected - unevenCorrection));
+        if (d.sameMiddleLink) {
+          arc = 0;
+        }
+        return "M" + d.source.x + "," + d.source.y + "A" + arc + "," + arc + " 0 0," + d.sameArcDirection + " " + d.target.x + "," + d.target.y;
+      });
+      
+      // 更新连线文字
+      const linkTextList = this.linkTextGroup.selectAll("g");
+      linkTextList.attr("transform", function(d) {
+        if (d.target.x < d.source.x) {
+          const bbox = this.getBBox();
+          const rx = bbox.x + bbox.width / 2;
+          const ry = bbox.y + bbox.height / 2;
+          return "rotate(180 " + rx + " " + ry + ")";
+        } else {
+          return "rotate(360)";
+        }
+      });
+      
+      linkTextList.select("text")
+        .attr("x", function(d) {
+          return (d.source.x + d.target.x) / 2;
+        })
+        .attr("y", function(d) {
+          return (d.source.y + d.target.y) / 2;
+        });
+    },
+    // 设置旋转速度
+    setOrbitSpeed(speed) {
+      this.orbitSpeed = speed;
     }
   }
 };

kgBuilder-ui/src/components/KGFocus.vue

@@ -7,18 +7,15 @@
 -->
 <template>
   <div id="follow-us" class="guanzhu" style="padding: 20px;">
-          <h2 class="hometitle">中国一重</h2>
+          <h2 class="hometitle"></h2>
           <ul>
             <li class="wx">
               <img
-                src="@/assets/cfhi.png"
+                src="@/assets/中国一重.png" style="width: 100%;" />
-                alt="中国一重logo"
-              />
             
             </li>
           </ul>
         
-          
         </div>
 </template>
 

kgBuilder-ui/src/components/KGHeader.vue

@@ -8,7 +8,7 @@
 <template>
   <div class="menu">
     <nav class="nav" id="topnav">
-      <h1 class="logo"><a href="/">֪KGBulider</a></h1>
+      <h1 class="logo"><a href="/">中国一重</a></h1>
       <ul style="float: left;margin-left: 60px;padding: 10px;">
         <template v-for="nav in navList">
           <li @mouseover="selectStyle(nav)" >
@@ -36,9 +36,7 @@ export default {
   },
   data() {
     return {
-      navList: [
+      navList: []
-        
-      ]
     };
   },
   mounted() {},

kgBuilder-ui/src/utils/BaseAPI.js

@@ -21,4 +21,19 @@ export default class BaseAPI {
     }
     return request(Object.assign({ url, method: 'POST', data: temp }, config))
   }
+
+  put(url, data, config) {
+    let temp
+    if (
+      config &&
+      config?.headers &&
+      (config?.headers['Content-Type'].indexOf('application/json') !== -1 ||
+        config?.headers['Content-Type'].indexOf('multipart/form-data') !== -1)
+    ) {
+      temp = data
+    } else {
+      temp = qs.stringify(data)
+    }
+    return request(Object.assign({ url, method: 'PUT', data: temp }, config))
+  }
 }

kgBuilder-ui/src/views/kgbuilder/components/kg_form.vue

@@ -258,7 +258,8 @@
         </el-form-item>
       </el-form>
       </div>
-    </div>
+  
+
     <!--添加同级-->
     <div v-show="operate == 'batchAddSame'" class="pd-20">
       <div class="mb-l">添加同级</div>

kgBuilder-ui/src/views/kgbuilder/index.vue

@@ -30,6 +30,7 @@
             :title="m.name"
           >
             <el-tag
+              @contextmenu.native.prevent="deleteGraph(m)"
               v-if="m.commend == 0"
               closable
               style="margin:2px"
@@ -126,27 +127,6 @@
           >
             <i class="el-icon-download">导出</i>
           </a>
-          <a
-            href="javascript:void(0)"
-            @click="requestFullScreen"
-            class="svg-a-sm"
-          >
-            <i class="el-icon-monitor">全屏</i>
-          </a>
-          <a
-            href="javascript:void(0)"
-            @click="help"
-            class="svg-a-sm"
-          >
-            <i class="el-icon-info">帮助</i>
-          </a>
-          <a
-            href="javascript:void(0)"
-            @click="wanted"
-            class="svg-a-sm"
-          >
-            <i class="el-icon-question">反馈</i>
-          </a>
         </div>
       </div>
       <!-- 头部over -->
@@ -1672,6 +1652,18 @@ export default {
         _this.createSingleNode(event.offsetX, event.offsetY);
       }
       event.preventDefault();
+    },
+    deleteGraph(item) {
+      this.$confirm("确定要删除该图谱吗？", "提示", {
+        confirmButtonText: "确定",
+        cancelButtonText: "取消",
+        type: "warning"
+      }).then(() => {
+        const index = this.pageModel.nodeList.indexOf(item);
+        if (index > -1) {
+          this.pageModel.nodeList.splice(index, 1);
+        }
+      });
     }
   }
 };

kgBuilder-ui/src/views/kgbuilder/index_v1.vue

@@ -12,16 +12,25 @@
       <div class="ml-m">
         <div class="guanzhu" style="padding: 20px;">
           <h2 class="hometitle ml-ht">图谱列表</h2>
+          <el-input
+            v-model="graphSearchQuery"
+            placeholder="搜索图谱"
+            clearable
+            style="margin-bottom: 10px"
+          ></el-input>
           <div class="ml-a-box" style="min-height:280px">
             <el-tag
               class="tag-ml-5"
               @click="createDomain"
               >新建图谱</el-tag
             >
+            <template v-for="(m, index) in filteredNodeList">
               <el-tag
+                v-if="m.id !== editingDomainId"
+                :key="`tag-${index}`"
                 @click="matchDomainGraph(m)"
-              v-for="(m, index) in pageModel.nodeList"
+                @contextmenu.native.prevent="deleteGraph(m)"
-              :key="index"
+                @dblclick.native="handleDblClick(m)"
                 :type="m.type"
                 effect="dark"
                 :title="m.name"
@@ -29,6 +38,17 @@
               >
                 {{ m.name }}
               </el-tag>
+              <el-input
+                v-else
+                :key="`input-${index}`"
+                :ref="`editInput-${m.id}`"
+                v-model="m.name"
+                @blur="handleInputBlur(m)"
+                @keyup.enter.native="handleInputEnter(m)"
+                size="mini"
+                class="tag-ml-5"
+              ></el-input>
+            </template>
           </div>
           <div class="fr">
             <a
@@ -66,16 +86,21 @@
         </span>
         <div v-show="domain != ''" class="fl" style="display: flex">
           <div class="search">
-            <el-button @click="getDomainGraph(0)">
+            <el-button @click="intelligentSearch">
               <svg class="icon" aria-hidden="true">
                 <use xlink:href="#icon-search"></use>
               </svg>
             </el-button>
-            <el-input
+            <el-autocomplete
-              placeholder="请输入关键词"
+              class="inline-input"
               v-model="nodeName"
-              @keyup.enter.native="getDomainGraph"
+              :fetch-suggestions="querySearch"
-            ></el-input>
+              placeholder="请输入关键词"
+              @select="handleSelect"
+              @keyup.enter.native="intelligentSearch"
+              :trigger-on-focus="false"
+              clearable
+            ></el-autocomplete>
           </div>
           <span>
             <span class="dibmr">
@@ -92,6 +117,9 @@
           </span>
         </div>
         <div class="fr">
+          <a href="javascript:void(0)" @click="toggleAnimation" class="svg-a-sm" :style="{color: isAnimating ? '#409EFF' : ''}">
+            <i :class="isAnimating ? 'el-icon-video-pause' : 'el-icon-video-play'">{{ isAnimating ? '停止旋转' : '旋转动画' }}</i>
+          </a>
           <a href="javascript:void(0)" @click="showJsonData" class="svg-a-sm">
             <i class="el-icon-tickets">查看数据</i>
           </a>
@@ -105,19 +133,7 @@
           <a href="javascript:void(0)" @click="exportGraph" class="svg-a-sm">
             <i class="el-icon-download">导出</i>
           </a>
-          <a
+       
-            href="javascript:void(0)"
-            @click="requestFullScreen"
-            class="svg-a-sm"
-          >
-            <i class="el-icon-monitor">全屏</i>
-          </a>
-          <a href="javascript:void(0)" @click="help" class="svg-a-sm">
-            <i class="el-icon-info">帮助</i>
-          </a>
-          <a href="javascript:void(0)" @click="wanted" class="svg-a-sm">
-            <i class="el-icon-question">反馈</i>
-          </a>
         </div>
       </div>
       <!-- 头部over -->
@@ -505,9 +521,24 @@ export default {
         links: []
       },
       jsonShow: false,
-      helpShow: false
+      helpShow: false,
+      graphSearchQuery: "",
+      originalName: "",
+      editingDomainId: null,
+      isAnimating: false
     };
   },
+  computed: {
+    filteredNodeList() {
+      if (this.graphSearchQuery) {
+        return this.pageModel.nodeList.filter(item => {
+          return item.name.toLowerCase().includes(this.graphSearchQuery.toLowerCase());
+        });
+      } else {
+        return this.pageModel.nodeList;
+      }
+    }
+  },
   filters: {
     labelFormat: function(value) {
       let domain = value.substring(1, value.length - 1);
@@ -532,6 +563,142 @@ export default {
     });
   },
   methods: {
+    // 搜索建议查询
+    querySearch(queryString, cb) {
+      if (!queryString || queryString.trim().length === 0) {
+        cb([]);
+        return;
+      }
+      
+      if (!this.domain) {
+        cb([]);
+        return;
+      }
+      
+      // 调用后端获取搜索建议
+      kgBuilderApi.getSearchSuggestions(queryString, this.domain).then(result => {
+        if (result.code === 200 && result.data) {
+          // 转换为 el-autocomplete 需要的格式
+          const suggestions = result.data.map(item => {
+            return { value: item };
+          });
+          cb(suggestions);
+        } else {
+          cb([]);
+        }
+      }).catch(() => {
+        cb([]);
+      });
+    },
+    
+    // 选择建议项
+    handleSelect(item) {
+      this.nodeName = item.value;
+      this.intelligentSearch();
+    },
+    
+    // 切换旋转动画
+    toggleAnimation() {
+      const kgbuilder = this.$refs.kg_builder;
+      if (kgbuilder) {
+        this.isAnimating = kgbuilder.toggleOrbitAnimation();
+        if (this.isAnimating) {
+          this.$message.success('旋转动画已启动');
+        } else {
+          this.$message.info('旋转动画已停止');
+        }
+      }
+    },
+    
+    intelligentSearch() {
+      if (!this.nodeName) {
+        this.$message.warning("请输入搜索内容");
+        return;
+      }
+      const data = {
+        text: this.nodeName,
+        domain: this.domain
+      };
+      kgBuilderApi.intelligentSearch(data).then(result => {
+        if (result.code === 200) {
+          const graphData = result.data;
+          if (graphData.nodes && graphData.nodes.length > 0) {
+            this.graphData = graphData;
+          } else {
+            this.$message.info("未找到相关节点");
+          }
+        } else {
+          this.$message.error("智能搜索失败: " + result.msg);
+        }
+      }).catch(error => {
+        this.$message.error("智能搜索异常: " + error);
+      });
+    },
+    deleteGraph(item) {
+      this.$confirm(`此操作将永久删除图谱 [${item.name}] 及所有数据, 是否继续?`, "提示", {
+        confirmButtonText: "确定",
+        cancelButtonText: "取消",
+        type: "warning"
+      }).then(() => {
+        let data = { domainId: item.id };
+        kgBuilderApi.deleteDomain(data).then(result => {
+          if (result.code == 200) {
+            this.$message({
+              type: "success",
+              message: "删除成功!"
+            });
+            this.getDomain();
+          } else {
+            this.$message.error("删除失败!");
+          }
+        });
+      }).catch(() => {
+        this.$message({
+          type: "info",
+          message: "已取消删除"
+        });
+      });
+    },
+    handleDblClick(item) {
+      this.editingDomainId = item.id;
+      this.originalName = item.name;
+      this.$nextTick(() => {
+        this.$refs[`editInput-${item.id}`][0].focus();
+      });
+    },
+    handleInputBlur(item) {
+      this.updateDomainName(item);
+    },
+    handleInputEnter(item) {
+      this.updateDomainName(item);
+    },
+    updateDomainName(item) {
+      if (item.name === this.originalName) {
+        this.editingDomainId = null;
+        return;
+      }
+      const data = {
+        oldName: this.originalName,
+        newName: item.name
+      };
+      kgBuilderApi.renameDomain(data).then(result => {
+        if (result.code === 200) {
+          this.$message({
+            type: "success",
+            message: "重命名成功!"
+          });
+          this.getDomain();
+        } else {
+          this.$message.error("重命名失败!");
+          item.name = this.originalName; // 恢复原来的名称
+        }
+        this.editingDomainId = null;
+      }).catch(() => {
+        this.$message.error("重命名失败!");
+        item.name = this.originalName; // 恢复原来的名称
+        this.editingDomainId = null;
+      });
+    },
     _thisKey(item) {
       this._thisView = item;
     },
@@ -877,10 +1044,12 @@ export default {
         if (result.code == 200) {
           if (result.data != null) {
             _this.graphData = { nodes: [], links: [] };
+            if (result.data) {
               _this.graphData.nodes = result.data.node;
               _this.graphData.links = result.data.relationship;
             }
           }
+        }
       });
     },
     //展开更多节点
@@ -1455,6 +1624,20 @@ ul {
   border: none;
   transition: background 0.3s;
 }
+.search .el-autocomplete {
+  width: 100%;
+}
+.search .el-autocomplete .el-input__inner {
+  box-sizing: border-box;
+  padding-left: 15px;
+  height: 32px;
+  line-height: 32px;
+  padding-right: 40px;
+  background: transparent;
+  border-radius: 32px;
+  border: none;
+  transition: background 0.3s;
+}
 .search .el-button--default {
   position: absolute;
   right: 1px;

pom.xml

@@ -27,12 +27,21 @@
         <qiniu-sdk.version>7.2.17</qiniu-sdk.version>
         <poi.version>3.17</poi.version>
         <javacsv.version>2.0</javacsv.version>
-        <hanlp.version>portable-1.7.8</hanlp.version>
+        <hanlp.version>1.8.3</hanlp.version>
         <lombok.version>1.18.26</lombok.version>
         <hutool.version>5.8.18</hutool.version>
         <commons-fileupload.version>1.4</commons-fileupload.version>
         <fasterxml.jackson.version>2.15.0</fasterxml.jackson.version>
     </properties>
+    <dependencyManagement>
+        <dependencies>
+            <dependency>
+                <groupId>com.hankcs</groupId>
+                <artifactId>hanlp</artifactId>
+                <version>portable-${hanlp.version}</version>
+            </dependency>
+        </dependencies>
+    </dependencyManagement>
     <dependencies>
 
         <dependency>
@@ -47,4 +56,25 @@
         <module>kgBuilder-meta</module>
         <module>kgBuilder-pro</module>
     </modules>
+
+    <repositories>
+        <repository>
+            <id>aliyunmaven</id>
+            <name>aliyun maven</name>
+            <url>https://maven.aliyun.com/repository/public</url>
+        </repository>
+    </repositories>
+
+    <pluginRepositories>
+        <pluginRepository>
+            <id>aliyun-plugin</id>
+            <url>https://maven.aliyun.com/repository/public</url>
+            <releases>
+                <enabled>true</enabled>
+            </releases>
+            <snapshots>
+                <enabled>false</enabled>
+            </snapshots>
+        </pluginRepository>
+    </pluginRepositories>
 </project>