190、商城业务-检索服务-面包屑导航

 

package com.atguigu.gulimall.search.vo;

import lombok.Data;

@Data
public class AttrResponseVo {

    /**
     * 属性id
     */
    private Long attrId;
    /**
     * 属性名
     */
    private String attrName;
    /**
     * 是否需要检索[0-不需要，1-需要]
     */
    private Integer searchType;
    /**
     * 属性图标
     */
    private String icon;
    /**
     * 可选值列表[用逗号分隔]
     */
    private String valueSelect;
    /**
     * 属性类型[0-销售属性，1-基本属性，2-既是销售属性又是基本属性]
     */
    private Integer attrType;
    /**
     * 启用状态[0 - 禁用，1 - 启用]
     */
    private Long enable;
    /**
     * 所属分类
     */
    private Long catelogId;
    /**
     * 快速展示【是否展示在介绍上；0-否 1-是】，在sku中仍然可以调整
     */
    private Integer showDesc;

    /**
     * 分组的ID
     */
    private Long attrGroupId;


    /**
     * 所属分类名字，如："手机/数码/手机"
     */
    private String catelogName;
    /**
     * 所属分组名字
     */
    private String groupName;


    //分类完整路
    private Long[] catelogPath;
}

//6、构建面包屑导航功能
        List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
            //1、分析每个attrs传过来的查询参数值
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            // attrs=2_5寸:6寸
            String[] s = attr.split("_");
            navVo.setNavValue(s[1]);
            R r = productFeignService.attrInfo(Long.parseLong(s[0]));
            if(r.getCode() == 0){
                AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>(){});
                navVo.setNavName(data.getAttrName());
            }else {
                navVo.setNavName(s[0]);
            }
            //2、取消了这个面包屑以后，我们要跳转到那个地方
            return navVo;
        }).collect(Collectors.toList());

        result.setNavs(collect);

MallSearchServiceImpl

package com.atguigu.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.common.utils.R;
import com.atguigu.gulimall.search.config.GulimallElasticSearchConfig;
import com.atguigu.gulimall.search.constant.EsConstant;
import com.atguigu.gulimall.search.feign.ProductFeignService;
import com.atguigu.gulimall.search.service.MallSearchService;
import com.atguigu.gulimall.search.vo.AttrResponseVo;
import com.atguigu.gulimall.search.vo.SearchParam;
import com.atguigu.gulimall.search.vo.SearchResult;
import lombok.extern.slf4j.Slf4j;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

@Service
@Slf4j
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;

    @Autowired
    ProductFeignService productFeignService;

    //去es进行检索
    @Override
    public SearchResult search(SearchParam param) {
        //动态构建出查询需要的DSL语句
        SearchResult result=null;

        //1. 创建检索请求
        SearchRequest searchRequest = buildSearchRequest(param);
        try {
            //2.执行检索请求
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);
            //3.分析响应数据封装成为我们想要的格式
            result = buildSearchResult(param,response);
        } catch (IOException e) {

        }


        return result;
    }

    /**
     * 构建结果数据
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchParam param,SearchResponse response) {
        SearchResult result = new SearchResult();

        SearchHits hits = response.getHits();

//        SearchHit[] subHits = hits.getHits();
        List<SkuEsModel> esModels= new ArrayList<>();
        if(hits.getHits() != null && hits.getHits().length > 0){
            for(SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if(!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }

                esModels.add(esModel);
            }

//            skuEsModels = Arrays.asList(subHits).stream().map(subHit -> {
//                String sourceAsString = subHit.getSourceAsString();
//                SkuEsModel skuEsModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
//                if (!StringUtils.isEmpty(param.getKeyword())) {
//                    HighlightField skuTitle = subHit.getHighlightFields().get("skuTitle");
//                    String skuTitleHighLight = skuTitle.getFragments()[0].string();
//                    skuEsModel.setSkuTitle(skuTitleHighLight);
//                }
//                return skuEsModel;
//            }).collect(Collectors.toList());

        }
        //1.返回所查询到的所有商品
        result.setProducts(esModels);

        //2.当前所有商品所涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for(Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            // 1、得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            // 2、得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            // 3、得到属性所有的值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());

            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);

        //3.当前所有商品所涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for(Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            // 1、得到品牌的id
            long brandId = bucket.getKeyAsNumber().longValue();
            // 2、得到品牌的名
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            // 3、得到品牌的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);

        //4.当前所有商品所涉及到的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");

        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for(Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            //得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            //得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        //=========以上从聚合信息中获取===========
        //5.分页信息-页码
        result.setPageNum(param.getPageNum());
        //5.分页信息-总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //5.分页信息-总页码
        int totalPages = (int)total%EsConstant.PRODUCT_PAGESIZE == 0?(int)total/EsConstant.PRODUCT_PAGESIZE:(int)(total/EsConstant.PRODUCT_PAGESIZE+1);
        result.setTotalPages(totalPages);

        List<Integer> pageNavs = new ArrayList<>();
        for(int i = 1; i <= totalPages; i++){
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        //6、构建面包屑导航功能
        List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
            //1、分析每个attrs传过来的查询参数值
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            // attrs=2_5寸:6寸
            String[] s = attr.split("_");
            navVo.setNavValue(s[1]);
            R r = productFeignService.attrInfo(Long.parseLong(s[0]));
            if(r.getCode() == 0){
                AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>(){});
                navVo.setNavName(data.getAttrName());
            }else {
                navVo.setNavName(s[0]);
            }
            //2、取消了这个面包屑以后，我们要跳转到那个地方
            return navVo;
        }).collect(Collectors.toList());

        result.setNavs(collect);

        return result;
    }

    /**
     * 准备检索请求
     * 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存），排序，分页，高亮，聚合分析
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParam param) {

        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); //构建 DSL 语句的

        /**
         * 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）
         */
        //1. 构建bool-query
        BoolQueryBuilder boolQuery = new BoolQueryBuilder();

        //1.1 bool-must 模糊匹配
        if(!StringUtils.isEmpty(param.getKeyword())){
            boolQuery.must(QueryBuilders.matchQuery("skuTitle",param.getKeyword()));
        }

        //1.2 bool-fiter
        //1.2.1 catelogId  -- 按照三级分类id
        if(null != param.getCatalog3Id()){
            boolQuery.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));
        }

        //1.2.2 brandId  品牌
        if(null != param.getBrandId() && param.getBrandId().size() >0){
            boolQuery.filter(QueryBuilders.termsQuery("brandId",param.getBrandId()));
        }

        //1.2.3 attrs   属性
        if(param.getAttrs() != null && param.getAttrs().size() > 0){

            for(String attrStr : param.getAttrs()) {
                //attrs=1_5寸:8寸&2_16G:8G
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                //attrs=1_5寸:8寸
                String[] s = attrStr.split("_");
                String attrId=s[0];
                String[] attrValues = s[1].split(":");//这个属性检索用的值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValues));
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs",nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }


//            param.getAttrs().forEach(item -> {
//                //attrs=1_5寸:8寸&2_16G:8G
//                BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
//
//
//                //attrs=1_5寸:8寸
//                String[] s = item.split("_");
//                String attrId=s[0];
//                String[] attrValues = s[1].split(":");//这个属性检索用的值
//                boolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
//                boolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValues));
//
//                NestedQueryBuilder nestedQueryBuilder = QueryBuilders.nestedQuery("attrs",boolQuery, ScoreMode.None);
//                queryBuilder.filter(nestedQueryBuilder);
//            });



        }

        //1.2.4 hasStock  是否有库存
        if(null != param.getHasStock()){
            boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock() == 1));
        }


        //1.2.5 skuPrice  价格区间
        if(!StringUtils.isEmpty(param.getSkuPrice())){
            //skuPrice形式为：1_500或_500或500_
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if(s.length==2){
                rangeQuery.gte(s[0]).lte(s[1]);
            }else if(s.length == 1){
                if(param.getSkuPrice().startsWith("_")){
                    rangeQuery.lte(s[1]);
                }
                if(param.getSkuPrice().endsWith("_")){
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }

        //封装所有的查询条件
        sourceBuilder.query(boolQuery);


        /**
         * 排序，分页，高亮
         */

        //排序
        //形式为sort=hotScore_asc/desc
        if(!StringUtils.isEmpty(param.getSort())){
            String sort = param.getSort();
            String[] s = sort.split("_");

            SortOrder sortOrder="asc".equalsIgnoreCase(s[1])?SortOrder.ASC:SortOrder.DESC;

            sourceBuilder.sort(s[0],sortOrder);
        }

        //分页
        sourceBuilder.from((param.getPageNum()-1)* EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);

        //高亮
        if(!StringUtils.isEmpty(param.getKeyword())){

            HighlightBuilder highlightBuilder = new HighlightBuilder();
            highlightBuilder.field("skuTitle");
            highlightBuilder.preTags("<b style='color:red'>");
            highlightBuilder.postTags("</b>");

            sourceBuilder.highlighter(highlightBuilder);
        }



        /**
         * 聚合分析
         */
        //1. 按照品牌进行聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);


        //1.1 品牌的子聚合-品牌名聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg")
                .field("brandName").size(1));
        //1.2 品牌的子聚合-品牌图片聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg")
                .field("brandImg").size(1));
        //  TODO  1、聚合 brand
        sourceBuilder.aggregation(brand_agg);

        //2. 按照分类信息进行聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg");
        catalog_agg.field("catalogId").size(20);

        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        //  TODO  2、聚合 catalog
        sourceBuilder.aggregation(catalog_agg);

        //2. 按照属性信息进行聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //2.1 按照属性ID进行聚合
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //2.1.1 在每个属性ID下，按照属性名进行聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //2.1.1 在每个属性ID下，按照属性值进行聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));

        attr_agg.subAggregation(attr_id_agg);
        //  TODO  2、聚合 attr
        sourceBuilder.aggregation(attr_agg);

//        log.debug("构建的DSL语句 {}",searchSourceBuilder.toString());

        String s = sourceBuilder.toString();
        System.out.println("构建的DSL======" + s);

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);


        return searchRequest;
    }
}