Merge branch 'master' into gray

@@ -42,9 +42,9 @@ public class FunctionScoreSearchHelper {
 
 
 	// 普通个性化的时间维度
 	// 普通个性化的时间维度
 	private final int oneDaySecondCount = 24 * 60 * 60;
 	private final int oneDaySecondCount = 24 * 60 * 60;
-	private FirstShelveTimeScore commonFirstShelveTimeScore = new FirstShelveTimeScore(90, 30, 60);
+	private FirstShelveTimeScore commonFirstShelveTimeScore = new FirstShelveTimeScore(60, 30, 30);
 	// 新品到着的个性化时间维度
 	// 新品到着的个性化时间维度
-	private FirstShelveTimeScore newRecShelveTimeScore = new FirstShelveTimeScore(30, 10, 20);
+	private FirstShelveTimeScore newRecShelveTimeScore = new FirstShelveTimeScore(14, 7, 7);
 	private final float globalWeight = 0.50f;
 	private final float globalWeight = 0.50f;
 
 
 	private WeightBuilder genWeightFactorBuilder(float factor) {
 	private WeightBuilder genWeightFactorBuilder(float factor) {

@@ -26,6 +26,8 @@ import org.elasticsearch.search.aggregations.metrics.tophits.TopHits;
 import org.elasticsearch.search.sort.SortBuilder;
 import org.elasticsearch.search.sort.SortBuilder;
 import org.elasticsearch.search.sort.SortBuilders;
 import org.elasticsearch.search.sort.SortBuilders;
 import org.elasticsearch.search.sort.SortOrder;
 import org.elasticsearch.search.sort.SortOrder;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 import org.springframework.stereotype.Service;
 
 
@@ -43,12 +45,14 @@ import com.yoho.search.service.service.helper.SearchCommonHelper;
 import com.yoho.search.service.service.helper.SearchServiceHelper;
 import com.yoho.search.service.service.helper.SearchServiceHelper;
 import com.yoho.search.service.service.helper.SearchSortHelper;
 import com.yoho.search.service.service.helper.SearchSortHelper;
 import com.yoho.search.service.servicenew.IGoodProductsService;
 import com.yoho.search.service.servicenew.IGoodProductsService;
-import com.yoho.search.service.utils.SearchRequestParams;
+import com.yoho.search.service.vo.GoodProductBO;
 import com.yoho.search.service.vo.SearchApiResult;
 import com.yoho.search.service.vo.SearchApiResult;
 
 
 @Service
 @Service
 public class GoodProductListService implements IGoodProductsService {
 public class GoodProductListService implements IGoodProductsService {
 
 
+	private static final Logger logger = LoggerFactory.getLogger(GoodProductListService.class);
+
 	@Autowired
 	@Autowired
 	private SearchCommonService searchCommonService;
 	private SearchCommonService searchCommonService;
 	@Autowired
 	@Autowired
@@ -64,14 +68,12 @@ public class GoodProductListService implements IGoodProductsService {
 	@Autowired
 	@Autowired
 	private FunctionScoreSearchHelper functionScoreSearchHelper;
 	private FunctionScoreSearchHelper functionScoreSearchHelper;
 
 
-	private final int maxSmallSortCount = 20;
-	private final int maxProductSknCountPerSort = 5;
-	private final int maxCountPerGroup = 3;
-	// private final float firstSknScore = 300;
-	private final float recommendedSknMaxScore = 200;
-
 	@Override
 	@Override
 	public SearchApiResult goodProductList(Map<String, String> paramMap) {
 	public SearchApiResult goodProductList(Map<String, String> paramMap) {
+		boolean openLog = "13420925".equals(paramMap.getOrDefault("uid", "0"));
+		if (openLog) {
+			logger.warn("goodProductList param is : [{}]", paramMap.toString());
+		}
 		// 1、检测分页参数
 		// 1、检测分页参数
 		int pageSize = StringUtils.isBlank(paramMap.get("viewNum")) ? 30 : Integer.parseInt(paramMap.get("viewNum"));
 		int pageSize = StringUtils.isBlank(paramMap.get("viewNum")) ? 30 : Integer.parseInt(paramMap.get("viewNum"));
 		int page = StringUtils.isBlank(paramMap.get("page")) ? 1 : Integer.parseInt(paramMap.get("page"));
 		int page = StringUtils.isBlank(paramMap.get("page")) ? 1 : Integer.parseInt(paramMap.get("page"));
@@ -79,9 +81,14 @@ public class GoodProductListService implements IGoodProductsService {
 			return new SearchApiResult().setCode(400).setMessage("分页参数不合法");
 			return new SearchApiResult().setCode(400).setMessage("分页参数不合法");
 		}
 		}
 		// 2、先获取用户浏览的SKN对应的品类列表
 		// 2、先获取用户浏览的SKN对应的品类列表
-		List<Integer> smallSortIds = this.getProductSknSmallSortIds(paramMap, maxSmallSortCount);
-		// 3、再每个品类下获取5个SKN[每次随机打乱]
-		List<String> recommondSkns = this.getRecommondedSkns(smallSortIds, maxProductSknCountPerSort, paramMap);
+		JSONObject sortAndBrandInfo = this.querySknSortAndBrand(paramMap.getOrDefault("product_skn", ""));
+
+		// 3、再根据品类和品牌推荐SKN
+		List<String> recommondSkns = this.recommondSknsBySortAndBrandInfo(sortAndBrandInfo, paramMap);
+
+		if (paramMap.getOrDefault("uid", "0").equals("13420925")) {
+			logger.warn("goodProductList recommondSkns is : [{}]", recommondSkns);
+		}
 
 
 		// 4、构造搜索参数
 		// 4、构造搜索参数
 		SearchParam searchParam = new SearchParam();
 		SearchParam searchParam = new SearchParam();
@@ -103,6 +110,11 @@ public class GoodProductListService implements IGoodProductsService {
 		CacheEnum cacheEnum = CacheEnum.EHCACHE;
 		CacheEnum cacheEnum = CacheEnum.EHCACHE;
 		JSONObject cacheObject = searchCacheService.getJSONObjectFromCache(cacheEnum, indexName, searchParam);
 		JSONObject cacheObject = searchCacheService.getJSONObjectFromCache(cacheEnum, indexName, searchParam);
 		if (cacheObject != null) {
 		if (cacheObject != null) {
+			JSONArray product_list = cacheObject.getJSONArray("product_list");
+			if(product_list!=null){
+//				Collections.shuffle(product_list);
+//				cacheObject.put("product_list", product_list);
+			}
 			return new SearchApiResult().setData(cacheObject);
 			return new SearchApiResult().setData(cacheObject);
 		}
 		}
 		// 6)查询ES
 		// 6)查询ES
@@ -123,43 +135,15 @@ public class GoodProductListService implements IGoodProductsService {
 		return new SearchApiResult().setData(dataMap);
 		return new SearchApiResult().setData(dataMap);
 	}
 	}
 
 
-	private QueryBuilder builderGoodProductQueryBuilder(Map<String, String> paramMap, List<String> recommendedSknList) {
-		QueryBuilder queryBuilder = QueryBuilders.matchAllQuery();
-		FunctionScoreQueryBuilder functionScoreQueryBuilder = new FunctionScoreQueryBuilder(queryBuilder);
-		// // 针对参数里第一个SKN加分
-		// String productSkns =
-		// paramMap.get(SearchRequestParams.PARAM_SYNC_SKN);
-		// if (!StringUtils.isBlank(productSkns)) {
-		// functionScoreQueryBuilder.add(QueryBuilders.termsQuery("productSkn",
-		// productSkns.split(",")[0]),
-		// ScoreFunctionBuilders.weightFactorFunction(firstSknScore));
-		// }
-		// 针对推荐出来的SKN做加分
-		if (recommendedSknList != null && !recommendedSknList.isEmpty()) {
-			Map<Integer, List<String>> recommondSknMap = this.splitProductSkns(recommendedSknList, maxCountPerGroup);
-			float currentGroupScore = recommendedSknMaxScore;
-			for (Map.Entry<Integer, List<String>> entry : recommondSknMap.entrySet()) {
-				functionScoreQueryBuilder.add(QueryBuilders.termsQuery("productSkn", entry.getValue()), ScoreFunctionBuilders.weightFactorFunction(currentGroupScore));
-				currentGroupScore = currentGroupScore - 10;
-			}
-		}
-		// 加上个性化打分
-		if (searchCommonHelper.isNeedPersonalSearch(paramMap)) {
-			functionScoreSearchHelper.addCommonPersonalizedScriptScore(functionScoreQueryBuilder, paramMap);
-		}
-		return functionScoreQueryBuilder;
-	}
-
 	/**
 	/**
-	 * 获取SKN相关的小分类
+	 * 获取skn的品类列表和品牌列表
 	 * 
 	 * 
 	 * @param productSkns
 	 * @param productSkns
 	 * @return
 	 * @return
 	 */
 	 */
-	private List<Integer> getProductSknSmallSortIds(Map<String, String> paramMap, int maxCount) {
-		String productSkns = paramMap.get(SearchRequestParams.PARAM_SYNC_SKN);
+	private JSONObject querySknSortAndBrand(String productSkns) {
 		if (StringUtils.isBlank(productSkns)) {
 		if (StringUtils.isBlank(productSkns)) {
-			return new ArrayList<Integer>();
+			return new JSONObject();
 		}
 		}
 		String[] productSknArray = productSkns.split(",");
 		String[] productSknArray = productSkns.split(",");
 		SearchParam searchParam = new SearchParam();
 		SearchParam searchParam = new SearchParam();
@@ -167,102 +151,108 @@ public class GoodProductListService implements IGoodProductsService {
 		BoolQueryBuilder boolFilter = QueryBuilders.boolQuery();
 		BoolQueryBuilder boolFilter = QueryBuilders.boolQuery();
 		boolFilter.must(QueryBuilders.termsQuery("productSkn", productSknArray));
 		boolFilter.must(QueryBuilders.termsQuery("productSkn", productSknArray));
 		searchParam.setFiter(boolFilter);
 		searchParam.setFiter(boolFilter);
-		// 2、设置聚合条件
-		final String aggName = "smallSortAgg";
-		TermsBuilder smallSortIdAgg = AggregationBuilders.terms(aggName).field("smallSortId").size(maxCount);
-		searchParam.setAggregationBuilders(Arrays.asList(smallSortIdAgg));
+		// 2、设置聚合条件，获取所有的品类和品牌
+		TermsBuilder smallSortIdAgg = AggregationBuilders.terms("smallSortAgg").field("smallSortId").size(100);
+		TermsBuilder brandIdAgg = AggregationBuilders.terms("brandAgg").field("brandId").size(100);
+		List<AbstractAggregationBuilder> aggregationBuilders = new ArrayList<AbstractAggregationBuilder>();
+		aggregationBuilders.add(smallSortIdAgg);
+		aggregationBuilders.add(brandIdAgg);
+		searchParam.setAggregationBuilders(aggregationBuilders);
 		// 3、设置分页
 		// 3、设置分页
 		searchParam.setPage(0);
 		searchParam.setPage(0);
 		searchParam.setSize(0);
 		searchParam.setSize(0);
 		searchParam.setOffset(0);
 		searchParam.setOffset(0);
 
 
 		// 4、先从缓存中获取,如果能取到，则直接返回
 		// 4、先从缓存中获取,如果能取到，则直接返回
-		JSONArray sknSmallSortIdJSONArray = searchCacheService.getJSONArrayFromCache(ISearchConstants.INDEX_NAME_PRODUCT_INDEX, searchParam);
-		if (sknSmallSortIdJSONArray != null) {
-			return this.jsonArrayToList(sknSmallSortIdJSONArray, Integer.class);
+		JSONObject sortAndBrandJSONObject = searchCacheService.getJSONObjectFromCache(ISearchConstants.INDEX_NAME_PRODUCT_INDEX, searchParam);
+		if (sortAndBrandJSONObject != null) {
+			return sortAndBrandJSONObject;
 		}
 		}
 		// 5、执行搜索
 		// 5、执行搜索
 		SearchResult searchResult = searchCommonService.doSearch(ISearchConstants.INDEX_NAME_PRODUCT_INDEX, searchParam);
 		SearchResult searchResult = searchCommonService.doSearch(ISearchConstants.INDEX_NAME_PRODUCT_INDEX, searchParam);
-		if (searchResult == null || searchResult.getAggMaps() == null || searchResult.getAggMaps().get("smallSortAgg") == null) {
+		if (searchResult == null || searchResult.getAggMaps() == null) {
+			return new JSONObject();
+		}
+		Map<String, Aggregation> aggMaps = searchResult.getAggMaps();
+
+		// 6、从聚合结果中获取品牌和品类id
+		List<Integer> smallSortIds = this.getIdsFromAggMaps(aggMaps, "smallSortAgg");
+		List<Integer> brandIds = this.getIdsFromAggMaps(aggMaps, "brandAgg");
+
+		// 7、构造返回结果并加入缓存
+		sortAndBrandJSONObject = new JSONObject();
+		sortAndBrandJSONObject.put("brandIds", brandIds);
+		sortAndBrandJSONObject.put("smallSortIds", smallSortIds);
+		searchCacheService.addJSONObjectToCache(ISearchConstants.INDEX_NAME_PRODUCT_INDEX, searchParam, sortAndBrandJSONObject);
+		return sortAndBrandJSONObject;
+
+	}
+
+	private List<Integer> getIdsFromAggMaps(Map<String, Aggregation> aggMaps, String aggName) {
+		if (!aggMaps.containsKey(aggName)) {
 			return new ArrayList<Integer>();
 			return new ArrayList<Integer>();
 		}
 		}
-		sknSmallSortIdJSONArray = new JSONArray();
-		MultiBucketsAggregation aggregation = (MultiBucketsAggregation) searchResult.getAggMaps().get(aggName);
-		Iterator<? extends Bucket> smallSortIdIterator = aggregation.getBuckets().iterator();
-		while (smallSortIdIterator.hasNext()) {
-			Bucket smallSortIdBucket = smallSortIdIterator.next();
-			if (StringUtils.isNumeric(smallSortIdBucket.getKeyAsString())) {
-				sknSmallSortIdJSONArray.add(Integer.valueOf(smallSortIdBucket.getKeyAsString()));
+		MultiBucketsAggregation aggregation = (MultiBucketsAggregation) aggMaps.get(aggName);
+		List<Integer> results = new ArrayList<Integer>();
+		Iterator<? extends Bucket> iterator = aggregation.getBuckets().iterator();
+		while (iterator.hasNext()) {
+			Bucket bucket = iterator.next();
+			if (StringUtils.isNumeric(bucket.getKeyAsString())) {
+				results.add(Integer.valueOf(bucket.getKeyAsString()));
 			}
 			}
 		}
 		}
-		searchCacheService.addJSONArrayToCache(ISearchConstants.INDEX_NAME_PRODUCT_INDEX, searchParam, sknSmallSortIdJSONArray);
-		return this.jsonArrayToList(sknSmallSortIdJSONArray, Integer.class);
+		return results;
 	}
 	}
 
 
 	/**
 	/**
-	 * 有好货默认的过滤规则
+	 * 根据skn参数获取推荐出来的skn列表
 	 * 
 	 * 
 	 * @return
 	 * @return
 	 */
 	 */
-	private BoolQueryBuilder getDefaultBoolQueryBuilder() {
-		BoolQueryBuilder boolFilter = QueryBuilders.boolQuery();
-		boolFilter.mustNot(QueryBuilders.termsQuery("isSeckill", "Y"));
-		boolFilter.mustNot(QueryBuilders.termsQuery("isGlobal", "Y"));
-		boolFilter.must(QueryBuilders.termQuery("status", 1));
-		boolFilter.must(QueryBuilders.termQuery("isOutlets", 2));
-		boolFilter.must(QueryBuilders.termQuery("attribute", 1));
-		// 默认推库存>2,非断码，并且短评存在的数据
-		boolFilter.must(QueryBuilders.rangeQuery("storageNum").gte(2));
-		boolFilter.must(QueryBuilders.rangeQuery("breakingRate").lt(50));
-		boolFilter.must(QueryBuilders.rangeQuery("basePinRatio").lt(3.5));
-		boolFilter.must(QueryBuilders.termQuery("isPhraseExist", "Y"));
-		return boolFilter;
-	}
-
-	/**
-	 * 每个品类为用户推荐maxSize个SKN
-	 * 
-	 * @param smallSortIds
-	 * @param maxSize
-	 * @param paramMap
-	 * @return
-	 */
-	private List<String> getRecommondedSkns(List<Integer> smallSortIds, int maxSizePerSort, Map<String, String> paramMap) {
-		// 1、如果品类为空，则直接返回
-		if (smallSortIds == null || smallSortIds.isEmpty()) {
+	private List<String> recommondSknsBySortAndBrandInfo(JSONObject sortAndBrandInfo, Map<String, String> paramMap) {
+		// 1、获取品牌id和品类id
+		if (sortAndBrandInfo == null || sortAndBrandInfo.isEmpty()) {
+			return new ArrayList<String>();
+		}
+		JSONArray brandIdJSONArray = sortAndBrandInfo.getJSONArray("brandIds");
+		JSONArray smallSortIdJSONArray = sortAndBrandInfo.getJSONArray("smallSortIds");
+		List<Integer> brandIds = this.jsonArrayToList(brandIdJSONArray, Integer.class);
+		List<Integer> smallSortIds = this.jsonArrayToList(smallSortIdJSONArray, Integer.class);
+		if (brandIds.isEmpty() && smallSortIds.isEmpty()) {
 			return new ArrayList<String>();
 			return new ArrayList<String>();
 		}
 		}
-		SearchParam searchParam = new SearchParam();
-
 		// 2、构造filter
 		// 2、构造filter
+		SearchParam searchParam = new SearchParam();
 		BoolQueryBuilder boolFilter = this.getDefaultBoolQueryBuilder();
 		BoolQueryBuilder boolFilter = this.getDefaultBoolQueryBuilder();
-		boolFilter.must(QueryBuilders.termsQuery("smallSortId", smallSortIds));
+		BoolQueryBuilder brandAndSortFilter = new BoolQueryBuilder();
+		if (!brandIds.isEmpty()) {
+			brandAndSortFilter.should(QueryBuilders.termsQuery("brandId", brandIds));
+		}
+		if (!smallSortIds.isEmpty()) {
+			brandAndSortFilter.should(QueryBuilders.termsQuery("smallSortId", smallSortIds));
+		}
+		boolFilter.must(brandAndSortFilter);
 		searchParam.setFiter(boolFilter);
 		searchParam.setFiter(boolFilter);
 
 
 		// 3、构造query
 		// 3、构造query
 		FunctionScoreQueryBuilder functionScoreQueryBuilder = new FunctionScoreQueryBuilder(QueryBuilders.matchAllQuery());
 		FunctionScoreQueryBuilder functionScoreQueryBuilder = new FunctionScoreQueryBuilder(QueryBuilders.matchAllQuery());
-		// 针对看过的SKN做加分
-		String productSkns = paramMap.get(SearchRequestParams.PARAM_SYNC_SKN);
-		if (!StringUtils.isBlank(productSkns)) {
-			functionScoreQueryBuilder.add(QueryBuilders.termsQuery("productSkn", productSkns.split(",")), ScoreFunctionBuilders.weightFactorFunction(100));
-		}
 		// 强制加上个性化打分
 		// 强制加上个性化打分
 		functionScoreSearchHelper.addCommonPersonalizedScriptScore(functionScoreQueryBuilder, paramMap);
 		functionScoreSearchHelper.addCommonPersonalizedScriptScore(functionScoreQueryBuilder, paramMap);
 		searchParam.setQuery(functionScoreQueryBuilder);
 		searchParam.setQuery(functionScoreQueryBuilder);
 
 
 		// 4、设置聚合条件
 		// 4、设置聚合条件
-		final String firstAggName = "firstAgg";
-		String order = "_score:desc";
-		String sortField = order.split(":")[0];
-		SortOrder sortOrder = order.split(":")[1].equals("desc") ? SortOrder.DESC : SortOrder.ASC;
+		String sortField = "_score";
+		SortOrder sortOrder = SortOrder.DESC;
 		List<AbstractAggregationBuilder> list = new ArrayList<AbstractAggregationBuilder>();
 		List<AbstractAggregationBuilder> list = new ArrayList<AbstractAggregationBuilder>();
-		// 4.1）构造父聚合:品牌或品类聚合【同时按子聚合的sort字段排序】
-		TermsBuilder parentAggregationBuilder = AggregationBuilders.terms(firstAggName).field("smallSortId").size(smallSortIds.size());
-		// 4.2）添加子聚合:取得分最大的值
-		parentAggregationBuilder.subAggregation(AggregationBuilders.max("sort").field(sortField));
-		// 4.3）添加孙聚合：取打分最高的一个product
-		parentAggregationBuilder.subAggregation(AggregationBuilders.topHits("product").addSort(SortBuilders.fieldSort(sortField).order(sortOrder)).setSize(maxSizePerSort));
-		list.add(parentAggregationBuilder);
+		// 4.1）构造父聚合:品类聚合【同时按子聚合的sort字段排序】
+		TermsBuilder parentAggregationBuilder = AggregationBuilders.terms("smallSortAgg").field("smallSortId").size(smallSortIds.size());
+		// 4.2）构造子聚合:品牌或聚合【同时按子聚合的sort字段排序】
+		TermsBuilder sonAggregationBuilder = AggregationBuilders.terms("brandAgg").field("brandId").size(brandIds.size());
+		// 4.3）为子聚合添加孙聚合:取得分最大的值
+		sonAggregationBuilder.subAggregation(AggregationBuilders.max("sort").field(sortField));
+		// 4.4）为子聚合孙聚合：取打分最高的一个product
+		sonAggregationBuilder.subAggregation(AggregationBuilders.topHits("product").addSort(SortBuilders.fieldSort(sortField).order(sortOrder)).setSize(1));
+		list.add(parentAggregationBuilder.subAggregation(sonAggregationBuilder));
 		searchParam.setAggregationBuilders(list);
 		searchParam.setAggregationBuilders(list);
 
 
 		// 5、设置分页
 		// 5、设置分页
@@ -275,26 +265,123 @@ public class GoodProductListService implements IGoodProductsService {
 		if (recommendedSknJSONArray != null) {
 		if (recommendedSknJSONArray != null) {
 			return this.jsonArrayToList(recommendedSknJSONArray, String.class);
 			return this.jsonArrayToList(recommendedSknJSONArray, String.class);
 		}
 		}
-		// 7、执行搜索,并构造返回结果
+		// 7、执行搜索
 		final String indexName = ISearchConstants.INDEX_NAME_PRODUCT_INDEX;
 		final String indexName = ISearchConstants.INDEX_NAME_PRODUCT_INDEX;
 		SearchResult searchResult = searchCommonService.doSearch(indexName, searchParam);
 		SearchResult searchResult = searchCommonService.doSearch(indexName, searchParam);
 		if (searchResult == null || searchResult.getAggMaps() == null) {
 		if (searchResult == null || searchResult.getAggMaps() == null) {
 			return new ArrayList<String>();
 			return new ArrayList<String>();
 		}
 		}
+		// 8、获取搜索结果
 		Map<String, Aggregation> aggMaps = searchResult.getAggMaps();
 		Map<String, Aggregation> aggMaps = searchResult.getAggMaps();
-		if (!aggMaps.containsKey(firstAggName)) {
+		if (!aggMaps.containsKey("smallSortAgg")) {
 			return new ArrayList<String>();
 			return new ArrayList<String>();
 		}
 		}
-		List<String> recommendedSknList = this.getRecommendedSknList((MultiBucketsAggregation) aggMaps.get(firstAggName));
+		List<GoodProductBO> goodProductLists = new ArrayList<GoodProductBO>();
+		Iterator<? extends Bucket> smallSortIterator = ((MultiBucketsAggregation) aggMaps.get("smallSortAgg")).getBuckets().iterator();
+		while (smallSortIterator.hasNext()) {
+			Bucket smallSortBucket = smallSortIterator.next();
+			Map<String, Aggregation> smallSortAggMap = smallSortBucket.getAggregations().getAsMap();
+			if (!smallSortAggMap.containsKey("brandAgg")) {
+				continue;
+			}
+			Iterator<? extends Bucket> brandIdIterator = ((MultiBucketsAggregation) smallSortAggMap.get("brandAgg")).getBuckets().iterator();
+			List<String> productSkns = new ArrayList<String>();
+			while (brandIdIterator.hasNext()) {
+				Bucket brandIdBucket = brandIdIterator.next();
+				if (brandIdBucket.getAggregations().getAsMap().containsKey("product")) {
+					TopHits topHits = brandIdBucket.getAggregations().get("product");
+					if (topHits != null) {
+						SearchHits hits = topHits.getHits();
+						for (SearchHit hit : hits.getHits()) {
+							productSkns.add("" + hit.getSource().get("productSkn"));
+						}
+					}
+				}
+			}
+			if (!productSkns.isEmpty()) {
+				Collections.shuffle(productSkns);
+				goodProductLists.add(new GoodProductBO(smallSortBucket.getKeyAsString(), productSkns));
+			}
+		}
+		Collections.shuffle(goodProductLists);
+		// 9、构造返回结果
 		recommendedSknJSONArray = new JSONArray();
 		recommendedSknJSONArray = new JSONArray();
-		for (String recommendedSkn : recommendedSknList) {
-			recommendedSknJSONArray.add(recommendedSkn);
+		// 9.1、获取推荐出来的商品
+		recommendedSknJSONArray.addAll(this.getProductSkns(goodProductLists));
+		// 9.2、再加入用户看过的商品前面
+		for (String skn : paramMap.getOrDefault("product_skn", "").split(",")) {
+			if (!recommendedSknJSONArray.contains(skn)) {
+				recommendedSknJSONArray.add(skn);
+			}
 		}
 		}
 		searchCacheService.addJSONArrayToCache(indexName, searchParam, recommendedSknJSONArray);
 		searchCacheService.addJSONArrayToCache(indexName, searchParam, recommendedSknJSONArray);
 		return this.jsonArrayToList(recommendedSknJSONArray, String.class);
 		return this.jsonArrayToList(recommendedSknJSONArray, String.class);
 	}
 	}
 
 
+	private List<String> getProductSkns(List<GoodProductBO> goodProductLists) {
+		if (goodProductLists == null || goodProductLists.isEmpty()) {
+			return new ArrayList<String>();
+		}
+		int maxSknCount = 0;
+		for (GoodProductBO goodProductBO : goodProductLists) {
+			int productSknSize = goodProductBO.getProductSkn().size();
+			if (maxSknCount < productSknSize) {
+				maxSknCount = productSknSize;
+			}
+		}
+		List<String> results = new ArrayList<String>();
+		for (int i = 0; i < maxSknCount; i++) {
+			for (GoodProductBO goodProductBO : goodProductLists) {
+				int randomCount = 1 + (int) (Math.random() * 2);
+				results.addAll(goodProductBO.randomGetProductSkn(randomCount));
+			}
+		}
+		return results;
+	}
+
+	private QueryBuilder builderGoodProductQueryBuilder(Map<String, String> paramMap, List<String> recommendedSknList) {
+		QueryBuilder queryBuilder = QueryBuilders.matchAllQuery();
+		FunctionScoreQueryBuilder functionScoreQueryBuilder = new FunctionScoreQueryBuilder(queryBuilder);
+		// 针对推荐出来的SKN做加分
+		if (recommendedSknList != null && !recommendedSknList.isEmpty()) {
+			Map<Integer, List<String>> recommondSknMap = this.splitProductSkns(recommendedSknList, 2);
+			float currentGroupScore = 1000;
+			for (Map.Entry<Integer, List<String>> entry : recommondSknMap.entrySet()) {
+				functionScoreQueryBuilder.add(QueryBuilders.termsQuery("productSkn", entry.getValue()), ScoreFunctionBuilders.weightFactorFunction(currentGroupScore));
+				currentGroupScore = currentGroupScore - 10;
+			}
+		}
+		// 加上个性化打分
+		if (searchCommonHelper.isNeedPersonalSearch(paramMap)) {
+			functionScoreSearchHelper.addCommonPersonalizedScriptScore(functionScoreQueryBuilder, paramMap);
+		}
+		return functionScoreQueryBuilder;
+	}
+
+	/**
+	 * 有好货默认的过滤规则
+	 * 
+	 * @return
+	 */
+	private BoolQueryBuilder getDefaultBoolQueryBuilder() {
+		BoolQueryBuilder boolFilter = QueryBuilders.boolQuery();
+		boolFilter.mustNot(QueryBuilders.termsQuery("isSeckill", "Y"));
+		boolFilter.mustNot(QueryBuilders.termsQuery("isGlobal", "Y"));
+		boolFilter.must(QueryBuilders.termQuery("status", 1));
+		boolFilter.must(QueryBuilders.termQuery("isOutlets", 2));
+		boolFilter.must(QueryBuilders.termQuery("attribute", 1));
+		// 默认推库存>2,非断码，并且短评存在的数据
+		boolFilter.must(QueryBuilders.rangeQuery("storageNum").gte(2));
+		boolFilter.must(QueryBuilders.rangeQuery("breakingRate").lt(50));
+		boolFilter.must(QueryBuilders.rangeQuery("basePinRatio").lt(3.5));
+		boolFilter.must(QueryBuilders.termQuery("isPhraseExist", "Y"));
+		return boolFilter;
+	}
+
 	private <T> List<T> jsonArrayToList(JSONArray jsonArray, Class<T> clazz) {
 	private <T> List<T> jsonArrayToList(JSONArray jsonArray, Class<T> clazz) {
+		if (jsonArray == null) {
+			return new ArrayList<T>();
+		}
 		return JSONObject.parseArray(jsonArray.toJSONString(), clazz);
 		return JSONObject.parseArray(jsonArray.toJSONString(), clazz);
 	}
 	}
 
 
@@ -320,40 +407,11 @@ public class GoodProductListService implements IGoodProductsService {
 		return result;
 		return result;
 	}
 	}
 
 
-	/**
-	 * 获取聚合出来的商品
-	 * 
-	 * @param aggregation
-	 * @return
-	 */
-	private List<String> getRecommendedSknList(MultiBucketsAggregation aggregation) {
-		Iterator<? extends Bucket> itAgg = aggregation.getBuckets().iterator();
-		List<String> recommendedSknList = new ArrayList<String>();
-		while (itAgg.hasNext()) {
-			Bucket lt = itAgg.next();
-			if (lt.getAggregations().getAsMap().containsKey("product")) {
-				TopHits topHits = lt.getAggregations().get("product");
-				if (topHits != null) {
-					SearchHits hits = topHits.getHits();
-					for (SearchHit hit : hits.getHits()) {
-						recommendedSknList.add("" + hit.getSource().get("productSkn"));
-					}
-				}
-			}
+	public static List<String> getNewList(List<String> oldList) {
+		List<String> newList = new ArrayList<String>();
+		for (String element : oldList) {
+			newList.add(element);
 		}
 		}
-		Collections.shuffle(recommendedSknList);
-		return recommendedSknList;
+		return newList;
 	}
 	}
-
-	public static void main(String[] args) {
-		List<String> list = new ArrayList<String>();
-		for (int i = 1; i <= 99; i++) {
-			list.add(i + "");
-		}
-		Map<Integer, List<String>> results = new GoodProductListService().splitProductSkns(list, 20);
-		for (Map.Entry<Integer, List<String>> entry : results.entrySet()) {
-			System.out.println(entry.getKey() + "_" + entry.getValue());
-		}
-	}
-
 }
 }

@@ -88,7 +88,7 @@ public class SearchSortGroupService implements ISearchSortGroupService, Applicat
 				// 性别
 				// 性别
 				if (paramMap.containsKey(SearchRequestParams.PARAM_SEARCH_GENDER)) {
 				if (paramMap.containsKey(SearchRequestParams.PARAM_SEARCH_GENDER)) {
 					String[] genders = paramMap.get(SearchRequestParams.PARAM_SEARCH_GENDER).split(",");
 					String[] genders = paramMap.get(SearchRequestParams.PARAM_SEARCH_GENDER).split(",");
-					boolFilter.must(QueryBuilders.termQuery("gender", genders));
+					boolFilter.must(QueryBuilders.termsQuery("gender", genders));
 				}
 				}
 				// 如果contain_global！=Y，则过滤掉全球购的商品[全球购商品融合需求]
 				// 如果contain_global！=Y，则过滤掉全球购的商品[全球购商品融合需求]
 				if (!searchCommonHelper.containGlobal(paramMap)) {
 				if (!searchCommonHelper.containGlobal(paramMap)) {

+package com.yoho.search.service.vo;
+
+import java.util.ArrayList;
+import java.util.List;
+
+public class GoodProductBO {
+	private String smallSortId;
+	private List<String> productSkn;
+
+	public GoodProductBO(String smallSortId, List<String> productSkn) {
+		super();
+		this.smallSortId = smallSortId;
+		this.productSkn = productSkn;
+	}
+
+	public String getSmallSortId() {
+		return smallSortId;
+	}
+
+	public List<String> getProductSkn() {
+		return productSkn;
+	}
+
+	public List<String> randomGetProductSkn(int count) {
+		List<String> results = new ArrayList<String>();
+		if (productSkn == null || productSkn.isEmpty()) {
+			return results;
+		}
+		for (int i = 0; i < count; i++) {
+			if (!productSkn.isEmpty()) {
+				results.add(productSkn.remove(0));
+			}
+		}
+		return results;
+	}
+
+}