词云图由hanLp调整为ansj 2

src/main/java/com/zhiwei/brandkbs2/ansjSeg/MyDic.java

@@ -39,13 +39,11 @@ public class MyDic {
     public void init() {
         try {
             // 读取词典
-            List<String> customDics = Tools.readListFile(customDic.getInputStream());
-            List<String> stopDics = Tools.readListFile(stopDic.getInputStream());
-            InputStream inputStream = negativeDic.getInputStream();
-            List<String> negativeDic = Tools.readListFile(inputStream);
-            InputStream inputStream2 = positiveDic.getInputStream();
-            List<String> positiveDic = Tools.readListFile(inputStream2);
-            log.info("ansj自定义词典加载:{}条,停用词加载:{}条,负面词典加载:{}条,正面词典加载:{}条", customDics.size(), stopDics.size(), negativeDic.size(), positiveDic.size());
+            customWords = Tools.readListFile(customDic.getInputStream());
+            stopWords = Tools.readListFile(stopDic.getInputStream());
+            negativeWords = Tools.readListFile(negativeDic.getInputStream());
+            positiveWords= Tools.readListFile(positiveDic.getInputStream());
+            log.info("ansj自定义词典加载:{}条,停用词加载:{}条,负面词典加载:{}条,正面词典加载:{}条", customWords.size(), stopWords.size(), negativeWords.size(), positiveWords.size());
         } catch (Exception e) {
             log.info("MyDic-init 异常", e);
         }
@@ -78,8 +76,8 @@ public class MyDic {
      * @Description: TODO(获取正面词)
      * 设定文件
      */
-    public static List<String> getPosivtiveWords() {
-        return negativeWords;
+    public static List<String> getPositiveWords() {
+        return positiveWords;
     }
 
     /**

src/main/java/com/zhiwei/brandkbs2/service/impl/CustomEventServiceImpl.java

@@ -33,6 +33,7 @@ import org.apache.logging.log4j.LogManager;
 import org.apache.logging.log4j.Logger;
 import org.joda.time.Period;
 import org.joda.time.PeriodType;
+import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.data.mongodb.core.query.Criteria;
 import org.springframework.data.mongodb.core.query.Query;
 import org.springframework.data.mongodb.core.query.Update;
@@ -81,6 +82,9 @@ public class CustomEventServiceImpl implements CustomEventService {
     @Resource
     MongoUtil mongoUtil;
 
+    @Autowired
+    TextUtil textUtil;
+
     @Override
     public List<JSONObject> getCustomEventRankList(Long startTime, Long endTime) {
         List<JSONObject> resultList = null;
@@ -375,7 +379,7 @@ public class CustomEventServiceImpl implements CustomEventService {
     private List<JSONObject> getHotKeyword(List<BaseMap> articleList) {
         List<String> texts = articleList.stream().map(article -> article.getTitle() + article.getContent()).collect(Collectors.toList());
         //分析热评词
-        return TextUtil.getHighWordsJson(texts, 30);
+        return textUtil.getHighWordsJson(texts, 30);
     }
 
     /**

src/main/java/com/zhiwei/brandkbs2/service/impl/MarkDataServiceImpl.java

@@ -137,6 +137,9 @@ public class MarkDataServiceImpl implements MarkDataService {
     @Resource(name = "mongoUtil")
     MongoUtil mongoUtil;
 
+    @Autowired
+    TextUtil textUtil;
+
     @Override
     public PageVO<MarkFlowEntity> getYuqingMarkList(MarkSearchDTO markSearchDTO) {
         try {
@@ -504,12 +507,13 @@ public class MarkDataServiceImpl implements MarkDataService {
             log.info("es查询size:{},耗时:{}", texts.size(), System.currentTimeMillis() - s);
             long s1 = System.currentTimeMillis();
             // 分析高频词
-            List<JSONObject> highWords = TextUtil.getHighWordsJson(texts, 30);
+            List<JSONObject> highWords = textUtil.getHighWordsJson(texts, 30);
             log.info("分析高频词耗时:{}", (System.currentTimeMillis() - s1));
             redisUtil.setExpire(redisKey, JSON.toJSONString(highWords));
             return highWords;
         } catch (IOException e) {
-            ExceptionCast.cast(CommonCodeEnum.FAIL, "es查询异常", e);
+            log.error("getMarkHighWord-",e);
+            ExceptionCast.cast(CommonCodeEnum.FAIL);
         }
         return null;
     }

src/main/java/com/zhiwei/brandkbs2/util/TextUtil.java

@@ -15,6 +15,7 @@ import com.zhiwei.nlp.vo.KResult;
 import org.apache.logging.log4j.LogManager;
 import org.apache.logging.log4j.Logger;
 import org.elasticsearch.search.SearchHit;
+import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.core.io.Resource;
 import org.springframework.stereotype.Component;
@@ -39,7 +40,8 @@ public class TextUtil {
     private Resource customDic;
     @Value("classpath:wordDic/stopWordDictionary.txt")
     private Resource stopDic;
-    private static AnsjSeg ansjSeg;
+    @Autowired
+    private AnsjSeg ansjSeg;
 
     @PostConstruct
     public void init() {
@@ -105,7 +107,7 @@ public class TextUtil {
         return Tools.sortMap(result, maxSize);
     }
 
-    public static List<JSONObject> getHighWordsJson(List<String> texts, Integer maxSize) {
+    public List<JSONObject> getHighWordsJson(List<String> texts, Integer maxSize) {
 //        Map<String, Integer> highWords = getHighWords(texts, maxSize);
         List<Map.Entry<String, Integer>> wordRate = ansjSeg.getFenCi(texts, maxSize);
         List<JSONObject> result = new ArrayList<>(wordRate.size());