fix(search):修复用户搜索服务中的空指针异常和高亮逻辑

- 修复了likeTotal字段为null时的空指针异常- 重构用户搜索逻辑，优化查询构建和响应处理
- 移除了过时的Guava Lists依赖，使用ArrayList替代
- 改进了高亮字段处理逻辑，确保正确提取高亮内容
- 更新异常处理类型从Exception到具体的IOException-优化代码结构，添加注释分段标识提高可读性- 调整粉丝总数格式化逻辑，增强空值处理能力

han-note-search/src/main/java/com/hanserwei/hannote/search/service/impl/NoteServiceImpl.java

@@ -249,7 +249,7 @@ public class NoteServiceImpl implements NoteService {
                             .nickname(nickname)
                             .updateTime(updateTime)
                             .highlightTitle(highlightedTitle)
-                            .likeTotal(NumberUtils.formatNumberString(Long.parseLong(likeTotal)))
+                            .likeTotal(likeTotal == null ? "0" : NumberUtils.formatNumberString(Long.parseLong(likeTotal)))
                             .build());
 
                 }

han-note-search/src/main/java/com/hanserwei/hannote/search/service/impl/UserServiceImpl.java

@@ -1,14 +1,16 @@
 package com.hanserwei.hannote.search.service.impl;
 
 import co.elastic.clients.elasticsearch.ElasticsearchClient;
+import co.elastic.clients.elasticsearch._types.SortOptions;
 import co.elastic.clients.elasticsearch._types.SortOrder;
+import co.elastic.clients.elasticsearch._types.query_dsl.Query;
 import co.elastic.clients.elasticsearch._types.query_dsl.TextQueryType;
 import co.elastic.clients.elasticsearch.core.SearchRequest;
 import co.elastic.clients.elasticsearch.core.SearchResponse;
+import co.elastic.clients.elasticsearch.core.search.Highlight;
 import co.elastic.clients.elasticsearch.core.search.HighlightField;
 import co.elastic.clients.elasticsearch.core.search.Hit;
 import co.elastic.clients.util.NamedValue;
-import com.google.common.collect.Lists;
 import com.hanserwei.framework.common.response.PageResponse;
 import com.hanserwei.framework.common.utils.NumberUtils;
 import com.hanserwei.hannote.search.index.UserIndex;
@@ -19,6 +21,8 @@ import jakarta.annotation.Resource;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.stereotype.Service;
 
+import java.io.IOException;
+import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
 
@@ -31,128 +35,83 @@ public class UserServiceImpl implements UserService {
 
     @Override
     public PageResponse<SearchUserRspVO> searchUser(SearchUserReqVO searchUserReqVO) {
-        // 查询关键词
+        // --- 2. 获取请求参数 ---
         String keyword = searchUserReqVO.getKeyword();
-        // 当前页码
         Integer pageNo = searchUserReqVO.getPageNo();
 
-        int pageSize = 10; // 每页展示数据量
-        int from = (pageNo - 1) * pageSize; // 偏移量
-
-        HighlightField nicknameHighlight = HighlightField.of(hf -> hf
+        // --- 3. 设置分页 ---
+        int pageSize = 10; // 假设每页大小为10
+        int from = (pageNo - 1) * pageSize;
+        // --- 4. 构建 multi_match 查询 ---
+        Query multiMatchQuery = Query.of(q -> q
+                .multiMatch(m -> m
+                        .query(keyword)
+                        .type(TextQueryType.PhrasePrefix)
+                        .fields(UserIndex.FIELD_USER_NICKNAME, UserIndex.FIELD_USER_HAN_NOTE_ID)
+                )
+        );
+        // --- 5. 构建排序 ---
+        SortOptions sortOptions = SortOptions.of(so -> so
+                .field(f -> f
+                        .field(UserIndex.FIELD_USER_FANS_TOTAL)
+                        .order(SortOrder.Desc)));
+        // --- 6. 构建高亮 ---
+        HighlightField nikeNameHighlight = HighlightField.of(hf -> hf
                 .preTags("<strong>")
                 .postTags("</strong>")
         );
-
-
-        SearchRequest searchRequest = SearchRequest.of(r -> r
+        Highlight highlight = Highlight.of(h -> h
+                .fields(NamedValue.of(UserIndex.FIELD_USER_NICKNAME, nikeNameHighlight)));
+        // --- 7. 构建 SearchRequest ---
+        SearchRequest searchRequest = SearchRequest.of(s -> s
                 .index(UserIndex.NAME)
-
-                // 1. 构建 Query: multiMatchQuery (RHL 风格的匹配)
-                .query(q -> q
-                        .multiMatch(m -> m
-                                .query(keyword)
-                                .fields(UserIndex.FIELD_USER_NICKNAME, UserIndex.FIELD_USER_HAN_NOTE_ID)
-                                // 默认使用 MatchQuery 行为，如果要模糊匹配，请添加 .fuzziness("AUTO")
-                                .type(TextQueryType.PhrasePrefix)
-                        )
-                )
-
-                // 2. 构建 Sort
-                .sort(s -> s
-                        .field(f -> f
-                                .field(UserIndex.FIELD_USER_FANS_TOTAL)
-                                .order(SortOrder.Desc)
-                        )
-                )
-
-                .highlight(h -> h.fields(NamedValue.of(UserIndex.FIELD_USER_NICKNAME, nicknameHighlight)))
-
-                // 3. 分页 from 和 size
+                .query(multiMatchQuery)
+                .sort(sortOptions)
+                .highlight(highlight)
                 .from(from)
-                .size(pageSize)
-        );
-
-
-        // 返参 VO 集合
-        List<SearchUserRspVO> searchUserRspVOS = Lists.newArrayList();
-        // 总文档数，默认为 0
+                .size(pageSize));
+        // --- 8. 执行查询和解析响应 ---
+        List<SearchUserRspVO> searchUserRspVOS = new ArrayList<>();
         long total = 0;
-
         try {
-            log.info("==> SearchRequest: {}", searchRequest.toString());
-
-            // 执行查询请求
+            log.info("==> searchRequest: {}", searchRequest);
             SearchResponse<SearchUserRspVO> searchResponse = client.search(searchRequest, SearchUserRspVO.class);
-
-            // 处理搜索结果
-            List<Hit<SearchUserRspVO>> hits = searchResponse.hits().hits();
+            // 8.2. 处理响应
             if (searchResponse.hits().total() != null) {
                 total = searchResponse.hits().total().value();
             }
-
-            searchUserRspVOS = Lists.newArrayList();
-
+            log.info("==> 命中文档总数, hits: {}", total);
+            List<Hit<SearchUserRspVO>> hits = searchResponse.hits().hits();
             for (Hit<SearchUserRspVO> hit : hits) {
-                // 1. 获取原始文档数据 (source)
+                // 获取source
                 SearchUserRspVO source = hit.source();
-
-                // 2. 获取高亮数据 (highlight)
-                Map<String, List<String>> highlights = hit.highlight();
-
+                // 8.3. 获取高亮字段
+                String highlightNickname = null;
+                Map<String, List<String>> highlightFiled = hit.highlight();
+                if (highlightFiled.containsKey(UserIndex.FIELD_USER_NICKNAME)) {
+                    highlightNickname = highlightFiled.get(UserIndex.FIELD_USER_NICKNAME).getFirst();
+                }
                 if (source != null) {
-                    // 3. 调用辅助方法合并数据和高亮
-                    SearchUserRspVO searchUserRspVO = mergeHitToRspVO(source, highlights);
-                    searchUserRspVOS.add(searchUserRspVO);
+                    Long userId = source.getUserId();
+                    String nickname = source.getNickname();
+                    String avatar = source.getAvatar();
+                    String hanNoteId = source.getHanNoteId();
+                    Integer noteTotal = source.getNoteTotal();
+                    String fansTotal = source.getFansTotal();
+                    searchUserRspVOS.add(SearchUserRspVO.builder()
+                            .userId(userId)
+                            .nickname(nickname)
+                            .highlightNickname(highlightNickname)
+                            .avatar(avatar)
+                            .hanNoteId(hanNoteId)
+                            .noteTotal(noteTotal)
+                            .fansTotal(fansTotal == null ? "0" : NumberUtils.formatNumberString(Long.parseLong(fansTotal)))
+                            .build());
                 }
             }
-
-        } catch (Exception e) {
-            log.error("==> 查询 Elasticsearch 异常: ", e);
+        } catch (IOException e) {
+            log.error("==> search error: {}", e.getMessage());
         }
-
         return PageResponse.success(searchUserRspVOS, pageNo, total);
     }
-
-    /**
-     * 将原始文档和高亮数据合并到 SearchUserRspVO
-     *
-     * @param source     原始文档数据 (已自动反序列化)
-     * @param highlights 高亮数据 Map
-     * @return SearchUserRspVO
-     */
-    private SearchUserRspVO mergeHitToRspVO(SearchUserRspVO source, Map<String, List<String>> highlights) {
-        if (source == null) {
-            return null;
-        }
-
-        // 1. 复制原始文档字段 (假设 SearchUserRspVO 使用 Lombok @Data 或 Builder)
-        SearchUserRspVO searchUserRspVO = SearchUserRspVO.builder()
-                .userId(source.getUserId())
-                .nickname(source.getNickname())
-                .avatar(source.getAvatar())
-                .hanNoteId(source.getHanNoteId()) // 字段名应与您的 VO 保持一致
-                .noteTotal(source.getNoteTotal())
-                .build();
-        if (source.getFansTotal() != null) {
-            searchUserRspVO.setFansTotal(NumberUtils.formatNumberString(Long.parseLong(source.getFansTotal())));
-        }
-
-        // 2. ⭐️ 核心逻辑：处理并设置高亮字段
-        if (highlights != null) {
-            // 尝试从 highlights Map 中获取 nickname 字段的高亮结果
-            List<String> nicknameHighlights = highlights.get(UserIndex.FIELD_USER_NICKNAME);
-
-            if (nicknameHighlights != null && !nicknameHighlights.isEmpty()) {
-                searchUserRspVO.setHighlightNickname(nicknameHighlights.getFirst());
-            }
-        }
-
-        // 3. 如果高亮字段为空，默认使用原始 nickname
-        if (searchUserRspVO.getHighlightNickname() == null) {
-            searchUserRspVO.setHighlightNickname(source.getNickname());
-        }
-
-        return searchUserRspVO;
-    }
 }