package com.xjs.mall.search.service.impl;

import cn.hutool.core.collection.CollUtil;
import com.alibaba.fastjson.JSON;
import com.ruoyi.common.core.utils.StringUtils;
import com.xjs.consts.EsConst;
import com.xjs.mall.search.config.ElasticsearchConfig;
import com.xjs.mall.search.service.MallSearchService;
import com.xjs.mall.search.vo.SearchParam;
import com.xjs.mall.search.vo.SearchResult;
import com.xjs.mall.to.es.SkuEsModel;
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.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.MultiBucketsAggregation;
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 java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * 商城检索service
 *
 * @author xiejs
 * @since 2022-05-11
 */
@Service
@Slf4j
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;

    @Override
    public SearchResult search(SearchParam searchParam) {
        //动态构建查询需要的DSL语句

        //1、准备检索请求
        SearchRequest searchRequest = this.buildSearchRequest(searchParam);

        SearchResult searchResult = null;

        try {
            //2、执行检索请求
            SearchResponse response = client.search(searchRequest, ElasticsearchConfig.COMMON_OPTIONS);

            //3、分析响应数据封装成需要的数据
            searchResult = this.buildSearchResult(response,searchParam);


        } catch (IOException e) {
            e.printStackTrace();
        }

        return searchResult;
    }

    /**
     * 构建请求数据
     *
     * @return 请求数据
     */
    private SearchRequest buildSearchRequest(SearchParam searchParam) {
        //构建DSL语句
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();

        //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 = QueryBuilders.boolQuery();

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

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

        //1.2、bool-filter 按照品牌id查询
        if (CollUtil.isNotEmpty(searchParam.getBrandId())) {
            boolQuery.filter(QueryBuilders.termQuery("brandId", searchParam.getBrandId()));
        }

        //1.2、bool-filter 按照是否有库存查询
        boolQuery.filter(QueryBuilders.termQuery("hasStock", searchParam.getHasStock() == 1));

        //1.2、bool-filter 按照价格区间查询
        if (StringUtils.isNotEmpty(searchParam.getSkuPrice())) {
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] split = searchParam.getSkuPrice().split("_");
            if (split.length == 2) {
                //区间
                rangeQuery.gte(split[0]).lte(split[1]);
            } else if (split.length == 1) {
                if (searchParam.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(split[0]);
                }
                if (searchParam.getSkuPrice().endsWith("_")) {
                    rangeQuery.gt(split[0]);
                }
            }


            boolQuery.filter(rangeQuery);
        }

        //1.2、bool-filter 按照所有指定的属性查询
        if (CollUtil.isNotEmpty(searchParam.getAttrs())) {

            for (String attrStr : searchParam.getAttrs()) {
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();

                String[] split = attrStr.split("_");
                String attrId = split[0];   //检索的属性id
                String[] attrValues = split[1].split(";");  //属性的检索用的值
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrValue", attrValues));

                //每一个必须都得生成一个nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }

        sourceBuilder.query(boolQuery);


        //排序、分页、高亮

        //2.1、排序
        String sort = searchParam.getSort();
        if (StringUtils.isNotEmpty(sort)) {
            String[] split = sort.split("_");
            SortOrder order = split[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(split[0], order);
        }

        //2.2、分页
        sourceBuilder.from((searchParam.getPageNum() - 1) * EsConst.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConst.PRODUCT_PAGESIZE);

        //2.3、高亮
        if (StringUtils.isNotEmpty(searchParam.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));
        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));
        sourceBuilder.aggregation(catalog_agg);

        // 3. 按照属性信息进行聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //3.1 按照属性ID进行聚合
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        attr_agg.subAggregation(attr_id_agg);
        //3.1.1 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));
        //3.1.2 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));
        sourceBuilder.aggregation(attr_agg);

        log.info(sourceBuilder.toString());

        return new SearchRequest(new String[]{EsConst.PRODUCT_INDEX}, sourceBuilder);
    }

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

        //1、返回的所有查询到的商品
        SearchHits hits = response.getHits();

        List<SkuEsModel> esModels = new ArrayList<>();
        //遍历所有商品信息
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);

                //判断是否按关键字检索，若是就显示高亮，否则不显示
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    //拿到高亮信息显示标题
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String skuTitleValue = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(skuTitleValue);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);

        //2、当前商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        //获取属性信息的聚合
        ParsedNested attrsAgg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attrIdAgg = attrsAgg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attrIdAgg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //1、得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            attrVo.setAttrId(attrId);

            //2、得到属性的名字
            ParsedStringTerms attrNameAgg = bucket.getAggregations().get("attr_name_agg");
            String attrName = attrNameAgg.getBuckets().get(0).getKeyAsString();
            attrVo.setAttrName(attrName);

            //3、得到属性的所有值
            ParsedStringTerms attrValueAgg = bucket.getAggregations().get("attr_value_agg");
            List<String> attrValues = attrValueAgg.getBuckets().stream().map(MultiBucketsAggregation.Bucket::getKeyAsString).collect(Collectors.toList());
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }

        result.setAttrs(attrVos);

        //3、当前商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        //获取到品牌的聚合
        ParsedLongTerms brandAgg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brandAgg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();

            //1、得到品牌的id
            long brandId = bucket.getKeyAsNumber().longValue();
            brandVo.setBrandId(brandId);

            //2、得到品牌的名字
            ParsedStringTerms brandNameAgg = bucket.getAggregations().get("brand_name_agg");
            String brandName = brandNameAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brandName);

            //3、得到品牌的图片
            ParsedStringTerms brandImgAgg = bucket.getAggregations().get("brand_img_agg");
            String brandImg = brandImgAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandImg(brandImg);

            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);

        //4、当前商品涉及到的所有分类信息
        //获取到分类的聚合
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        ParsedLongTerms catalogAgg = response.getAggregations().get("catalog_agg");
        for (Terms.Bucket bucket : catalogAgg.getBuckets()) {
            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 catalogNameAgg = bucket.getAggregations().get("catalog_name_agg");
            String catalogName = catalogNameAgg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalogName);
            catalogVos.add(catalogVo);
        }

        result.setCatalogs(catalogVos);
        //===============以上可以从聚合信息中获取====================//

        //5、分页信息-页码
        result.setPageNum(param.getPageNum());
        //5、1分页信息、总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);

        //5、2分页信息-总页码-计算
        int totalPages = (int) total % EsConst.PRODUCT_PAGESIZE == 0 ?
                (int) total / EsConst.PRODUCT_PAGESIZE : ((int) total / EsConst.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
        /*if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                //1、分析每一个attrs传过来的参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                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，我们要跳转到哪个地方，将请求的地址url里面的当前置空
                //拿到所有的查询条件，去掉当前
                String encode = null;
                try {
                    encode = URLEncoder.encode(attr, "UTF-8");
                    encode.replace("+", "%20");  //浏览器对空格的编码和Java不一样，差异化处理
                } catch (UnsupportedEncodingException e) {
                    e.printStackTrace();
                }
                String replace = param.get_queryString().replace("&attrs=" + attr, "");
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);

                return navVo;
            }).collect(Collectors.toList());

            result.setNavs(collect);
        }*/

        log.info(result.toString());

        return result;
    }


}
