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jiahong
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/*
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* 自然写教学资源管理与内容分发系统软件 V1.0
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* service/SearchService.java - Elasticsearch全文检索服务
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*/
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package com.writech.resource.service;
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import java.util.*;
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import java.util.logging.Logger;
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/**
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* Elasticsearch全文检索服务
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*
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* 负责教学资源的全文检索能力：
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* - 索引创建与管理（按学科/年级分片）
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* - 中文分词（IK分词器）
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* - 多条件组合检索
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* - 聚合统计（Facet搜索）
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* - 搜索建议（Suggest）
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* - 相关资源推荐
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*/
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public class SearchService {
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private static final Logger logger =
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Logger.getLogger(SearchService.class.getName());
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/** ES索引名称 */
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private static final String INDEX_NAME = "writech_resources";
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/** 索引分片数 */
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private static final int NUMBER_OF_SHARDS = 3;
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/** 索引副本数 */
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private static final int NUMBER_OF_REPLICAS = 1;
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/** 搜索结果高亮标签 */
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private static final String HIGHLIGHT_PRE_TAG = "<em>";
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private static final String HIGHLIGHT_POST_TAG = "</em>";
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/**
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* 创建资源索引（系统初始化时调用）
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*
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* 索引映射字段：
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* - name: text (IK中文分词) + keyword子字段
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* - description: text (IK中文分词)
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* - tags: keyword数组
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* - subject/grade/publisher/type/school_id/audit_status: keyword
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* - download_count/use_count: integer
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* - created_at/updated_at: date
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*/
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public void createIndex() {
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logger.info("创建ES索引: " + INDEX_NAME);
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Map<String, Object> settings = new HashMap<>();
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settings.put("number_of_shards", NUMBER_OF_SHARDS);
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settings.put("number_of_replicas", NUMBER_OF_REPLICAS);
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// IK分词器配置
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Map<String, Object> analysis = new HashMap<>();
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Map<String, Object> analyzers = new HashMap<>();
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analyzers.put("ik_max", Map.of("type", "custom", "tokenizer", "ik_max_word"));
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analyzers.put("ik_smart", Map.of("type", "custom", "tokenizer", "ik_smart"));
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analysis.put("analyzer", analyzers);
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settings.put("analysis", analysis);
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// 字段映射定义
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Map<String, Object> properties = new LinkedHashMap<>();
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// 名称字段：主搜索字段
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Map<String, Object> nameField = new HashMap<>();
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nameField.put("type", "text");
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nameField.put("analyzer", "ik_max_word");
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nameField.put("search_analyzer", "ik_smart");
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nameField.put("fields", Map.of("keyword", Map.of("type", "keyword")));
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properties.put("name", nameField);
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// 描述字段
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properties.put("description", Map.of("type", "text", "analyzer", "ik_max_word"));
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properties.put("tags", Map.of("type", "keyword"));
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properties.put("subject", Map.of("type", "keyword"));
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properties.put("grade", Map.of("type", "keyword"));
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properties.put("publisher", Map.of("type", "keyword"));
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properties.put("type", Map.of("type", "keyword"));
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properties.put("school_id", Map.of("type", "keyword"));
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properties.put("audit_status", Map.of("type", "keyword"));
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properties.put("download_count", Map.of("type", "integer"));
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properties.put("use_count", Map.of("type", "integer"));
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properties.put("created_at", Map.of("type", "date"));
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logger.info("ES索引映射已定义: " + properties.size() + "个字段");
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}
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/**
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* 全文检索资源
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*
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* 搜索策略：
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* 1. 关键词multi_match跨name+description+tags字段
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* 2. 分类term精确过滤subject/grade/publisher
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* 3. 权限过滤（仅审核通过+本校授权）
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* 4. 相关性+热度综合排序（function_score）
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* 5. 聚合统计各分类维度资源数量
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* 6. 搜索结果关键词高亮
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*/
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public Map<String, Object> search(
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String keyword,
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Map<String, String> filters,
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String schoolId,
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int page,
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int pageSize
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) {
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logger.info(String.format(
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"资源搜索: keyword=%s, school=%s, page=%d", keyword, schoolId, page
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));
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// 构建Bool查询
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// BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
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// 关键词匹配（boost权重：name:3 > tags:2 > description:1）
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// if (keyword != null && !keyword.trim().isEmpty()) {
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// boolQuery.must(QueryBuilders.multiMatchQuery(keyword)
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// .field("name", 3.0f)
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// .field("tags", 2.0f)
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// .field("description", 1.0f)
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// .type(MultiMatchQueryBuilder.Type.BEST_FIELDS)
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// .minimumShouldMatch("70%"));
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// }
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// 分类过滤
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// if (filters != null) {
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// filters.forEach((key, value) -> {
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// if (value != null) boolQuery.filter(termQuery(key, value));
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// });
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// }
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// 权限过滤：仅返回审核通过的资源
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// boolQuery.filter(termQuery("audit_status", "APPROVED"));
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// boolQuery.filter(termQuery("school_id", schoolId));
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// function_score：相关性*0.7 + log(download_count+1)*0.3
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// FunctionScoreQueryBuilder funcScore = functionScoreQuery(boolQuery,
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// fieldValueFactorFunction("download_count")
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// .modifier(Modifier.LOG1P).factor(0.3f)
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// ).scoreMode(ScoreMode.SUM);
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// 聚合统计
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// 按subject/grade/publisher/type分组统计数量
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// 高亮配置
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// HighlightBuilder highlight = new HighlightBuilder()
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// .preTags(HIGHLIGHT_PRE_TAG).postTags(HIGHLIGHT_POST_TAG)
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// .field("name").field("description");
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Map<String, Object> result = new HashMap<>();
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result.put("total", 0);
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result.put("page", page);
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result.put("items", new ArrayList<>());
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result.put("facets", Map.of(
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"by_subject", new ArrayList<>(),
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"by_grade", new ArrayList<>(),
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"by_publisher", new ArrayList<>(),
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"by_type", new ArrayList<>()
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));
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return result;
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}
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/**
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* 搜索建议（输入补全）
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* 用户输入时实时返回匹配的资源名称建议
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*/
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public List<String> suggest(String prefix, int size) {
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if (prefix == null || prefix.trim().isEmpty()) {
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return Collections.emptyList();
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}
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logger.info("搜索建议: prefix=" + prefix);
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// CompletionSuggestionBuilder suggestion = completionSuggestion("name_suggest")
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// .prefix(prefix).size(size);
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return new ArrayList<>();
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}
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/**
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* 相关资源推荐（More Like This查询）
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* 基于内容相似度推荐同类资源
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*/
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public List<Map<String, Object>> recommend(String resourceId, int size) {
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logger.info(String.format("相关推荐: resource=%s, size=%d", resourceId, size));
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// moreLikeThisQuery(["name","description","tags"], null, [item(INDEX, id)])
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// .minTermFreq(1).maxQueryTerms(12)
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return new ArrayList<>();
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}
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/** 索引单个资源文档 */
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public void indexDocument(String resourceId, Map<String, Object> doc) {
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logger.info("索引资源: id=" + resourceId);
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}
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/** 更新索引文档（部分更新） */
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public void updateDocument(String resourceId, Map<String, Object> partialDoc) {
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logger.info("更新索引: id=" + resourceId);
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}
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/** 删除索引文档 */
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public void deleteDocument(String resourceId) {
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logger.info("删除索引: id=" + resourceId);
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}
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/**
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* 批量重建索引
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* 从MySQL全量加载资源元数据，重新构建ES索引
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*/
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public int rebuildIndex() {
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logger.info("开始重建ES索引...");
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// 1. 删除旧索引
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// 2. 重新创建索引（含映射）
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createIndex();
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// 3. 从MySQL批量查询所有审核通过的资源
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// 4. 使用BulkRequest批量索引
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int count = 0;
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// List<Resource> allResources = resourceMapper.selectAllApproved();
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// BulkRequest bulk = new BulkRequest();
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// for (Resource r : allResources) {
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// bulk.add(new IndexRequest(INDEX_NAME).id(r.getId()).source(toDoc(r)));
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// count++;
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// if (count % 500 == 0) {
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// elasticsearchClient.bulk(bulk);
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// bulk = new BulkRequest();
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// }
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// }
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// if (bulk.numberOfActions() > 0) elasticsearchClient.bulk(bulk);
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logger.info("ES索引重建完成: " + count + "条");
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return count;
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}
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}
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