master：商城档口首页返回各部分数据调优；
liujiang
parent
16e073741e
commit
98ed724b6c
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@ -25,7 +25,7 @@ import java.util.*;
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import java.util.function.Function;
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import java.util.stream.Collectors;
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import static com.ruoyi.common.constant.Constants.*;
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import static com.ruoyi.common.constant.Constants.ORDER_NUM_1;
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/**
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* 档口首页Service业务层处理
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@ -187,7 +187,6 @@ public class StoreHomepageServiceImpl implements IStoreHomepageService {
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}
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/**
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* 档口首页模板一返回数据
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*
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@ -219,126 +218,20 @@ public class StoreHomepageServiceImpl implements IStoreHomepageService {
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List<StoreProdPriceAndMainPicAndTagDTO> attrList = this.storeProdMapper.selectPriceAndMainPicAndTagList(prodIdList);
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Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap = attrList.stream()
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.collect(Collectors.toMap(StoreProdPriceAndMainPicAndTagDTO::getStoreProdId, Function.identity()));
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// 顶部右侧商品2条
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List<StoreHomepage> topRightList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SLIDING_PICTURE_SMALL.getValue())).collect(Collectors.toList());
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List<StoreHomeTemplateItemResDTO> topRightRecommendList;
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if (CollectionUtils.isEmpty(topRightList)) {
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// 从latest50ProdList中随机选取最多2条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 2);
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topRightRecommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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topRightRecommendList = topRightList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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// 顶部右侧推荐商品
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templateOne.setTopRightList(topRightRecommendList);
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// 店家推荐 5条
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List<StoreHomepage> storeRecommendList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.STORE_RECOMMENDED.getValue())).collect(Collectors.toList());
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List<StoreHomeTemplateItemResDTO> recommendList;
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if (CollectionUtils.isEmpty(storeRecommendList)) {
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// 从latest50ProdList中随机选取最多5条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 5);
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recommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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recommendList = storeRecommendList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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templateOne.setTopRightList(this.getTopRightList(otherList, latest50ProdList, attrMap, 2));
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// 档口推荐列表
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templateOne.setRecommendList(recommendList);
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List<StoreHomeTemplateItemResDTO> popularRecommendList;
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// 人气爆款 5条
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List<StoreHomepage> popularSaleList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.POPULAR_SALES.getValue())).collect(Collectors.toList());
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if (CollectionUtils.isEmpty(popularSaleList)) {
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// 从latest50ProdList中随机选取最多5条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 5);
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popularRecommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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popularRecommendList = popularSaleList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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templateOne.setRecommendList(this.getStoreRecommendProdList(otherList, latest50ProdList, attrMap, 5));
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// 人气爆款列表
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templateOne.setPopularSaleList(popularRecommendList);
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// 当季新品 5条
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List<StoreHomepage> seasonNewProductsList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SEASON_NEW_PRODUCTS.getValue())).collect(Collectors.toList());
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List<StoreHomeTemplateItemResDTO> seasonNewRecommendList;
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if (CollectionUtils.isEmpty(seasonNewProductsList)) {
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// 从latest50ProdList中随机选取最多5条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 5);
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seasonNewRecommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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seasonNewRecommendList = seasonNewProductsList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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templateOne.setPopularSaleList(this.getPopularSaleList(otherList, latest50ProdList, attrMap, 5));
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// 当季新品列表
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templateOne.setNewProdList(seasonNewRecommendList);
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List<StoreHomeTemplateItemResDTO> saleRankRecommendList;
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// 销量排行 10条
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List<StoreHomepage> salesRankingList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SALES_RANKING.getValue())).collect(Collectors.toList());
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if (CollectionUtils.isEmpty(salesRankingList)) {
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// 从latest50ProdList中随机选取最多10条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 10);
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saleRankRecommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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saleRankRecommendList = salesRankingList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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templateOne.setNewProdList(this.getSeasonNewProdList(otherList, latest50ProdList, attrMap, 5));
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// 销量排行列表
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templateOne.setSaleRankList(saleRankRecommendList);
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templateOne.setSaleRankList(this.getSaleRankList(otherList, latest50ProdList, attrMap, 10));
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return templateOne;
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}
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/**
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* 档口首页模板二返回数据
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*
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@ -382,98 +275,14 @@ public class StoreHomepageServiceImpl implements IStoreHomepageService {
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List<StoreProdPriceAndMainPicAndTagDTO> attrList = this.storeProdMapper.selectPriceAndMainPicAndTagList(prodIdList);
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Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap = attrList.stream()
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.collect(Collectors.toMap(StoreProdPriceAndMainPicAndTagDTO::getStoreProdId, Function.identity()));
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// 店家推荐 5条
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List<StoreHomepage> storeRecommendList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.STORE_RECOMMENDED.getValue())).collect(Collectors.toList());
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List<StoreHomeTemplateItemResDTO> recommendList;
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if (CollectionUtils.isEmpty(storeRecommendList)) {
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// 从latest50ProdList中随机选取最多5条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 5);
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recommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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recommendList = storeRecommendList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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// 档口推荐列表
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templateTwo.setRecommendList(recommendList);
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List<StoreHomeTemplateItemResDTO> popularRecommendList;
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// 人气爆款 5条
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List<StoreHomepage> popularSaleList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.POPULAR_SALES.getValue())).collect(Collectors.toList());
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if (CollectionUtils.isEmpty(popularSaleList)) {
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// 从latest50ProdList中随机选取最多5条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 5);
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popularRecommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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popularRecommendList = popularSaleList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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templateTwo.setRecommendList(this.getStoreRecommendProdList(otherList, latest50ProdList, attrMap, 5));
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// 人气爆款列表
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templateTwo.setPopularSaleList(popularRecommendList);
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// 当季新品 5条
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List<StoreHomepage> seasonNewProductsList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SEASON_NEW_PRODUCTS.getValue())).collect(Collectors.toList());
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List<StoreHomeTemplateItemResDTO> seasonNewRecommendList;
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if (CollectionUtils.isEmpty(seasonNewProductsList)) {
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// 从latest50ProdList中随机选取最多5条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 5);
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seasonNewRecommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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seasonNewRecommendList = seasonNewProductsList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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templateTwo.setPopularSaleList(this.getPopularSaleList(otherList, latest50ProdList, attrMap, 5));
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// 当季新品列表
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templateTwo.setNewProdList(seasonNewRecommendList);
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List<StoreHomeTemplateItemResDTO> saleRankRecommendList;
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// 销量排行 10条
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List<StoreHomepage> salesRankingList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SALES_RANKING.getValue())).collect(Collectors.toList());
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if (CollectionUtils.isEmpty(salesRankingList)) {
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// 从latest50ProdList中随机选取最多10条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 10);
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saleRankRecommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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saleRankRecommendList = salesRankingList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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templateTwo.setNewProdList(this.getSeasonNewProdList(otherList, latest50ProdList, attrMap, 5));
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// 销量排行列表
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templateTwo.setSaleRankList(saleRankRecommendList);
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templateTwo.setSaleRankList(this.getSaleRankList(otherList, latest50ProdList, attrMap, 10));
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return templateTwo;
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}
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@ -507,75 +316,12 @@ public class StoreHomepageServiceImpl implements IStoreHomepageService {
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List<StoreProdPriceAndMainPicAndTagDTO> attrList = this.storeProdMapper.selectPriceAndMainPicAndTagList(prodIdList);
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Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap = attrList.stream()
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.collect(Collectors.toMap(StoreProdPriceAndMainPicAndTagDTO::getStoreProdId, Function.identity()));
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// 顶部右侧商品2条
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List<StoreHomepage> topRightList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SLIDING_PICTURE_SMALL.getValue())).collect(Collectors.toList());
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List<StoreHomeTemplateItemResDTO> topRightRecommendList;
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if (CollectionUtils.isEmpty(topRightList)) {
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// 从latest50ProdList中随机选取最多2条数据
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List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 2);
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topRightRecommendList = randomProductList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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} else {
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topRightRecommendList = topRightList.stream().map(x -> {
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StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
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return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
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.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
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.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
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}).collect(Collectors.toList());
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}
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// 顶部右侧推荐商品
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templateThird.setTopRightList(topRightRecommendList);
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// 店家推荐 10条
|
||||
List<StoreHomepage> storeRecommendList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.STORE_RECOMMENDED.getValue())).collect(Collectors.toList());
|
||||
List<StoreHomeTemplateItemResDTO> recommendList;
|
||||
if (CollectionUtils.isEmpty(storeRecommendList)) {
|
||||
// 从latest50ProdList中随机选取最多5条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 10);
|
||||
recommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
recommendList = storeRecommendList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
templateThird.setTopRightList(this.getTopRightList(otherList, latest50ProdList, attrMap, 2));
|
||||
// 档口推荐列表
|
||||
templateThird.setRecommendList(recommendList);
|
||||
|
||||
List<StoreHomeTemplateItemResDTO> saleRankRecommendList;
|
||||
// 销量排行 10条
|
||||
List<StoreHomepage> salesRankingList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SALES_RANKING.getValue())).collect(Collectors.toList());
|
||||
if (CollectionUtils.isEmpty(salesRankingList)) {
|
||||
// 从latest50ProdList中随机选取最多10条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 10);
|
||||
saleRankRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
saleRankRecommendList = salesRankingList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
templateThird.setRecommendList(this.getStoreRecommendProdList(otherList, latest50ProdList, attrMap, 10));
|
||||
// 销量排行列表
|
||||
templateThird.setSaleRankList(saleRankRecommendList);
|
||||
templateThird.setSaleRankList(this.getSaleRankList(otherList, latest50ProdList, attrMap, 10));
|
||||
return templateThird;
|
||||
}
|
||||
|
||||
|
|
@ -610,98 +356,14 @@ public class StoreHomepageServiceImpl implements IStoreHomepageService {
|
|||
List<StoreProdPriceAndMainPicAndTagDTO> attrList = this.storeProdMapper.selectPriceAndMainPicAndTagList(prodIdList);
|
||||
Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap = attrList.stream()
|
||||
.collect(Collectors.toMap(StoreProdPriceAndMainPicAndTagDTO::getStoreProdId, Function.identity()));
|
||||
|
||||
// 顶部右侧商品2条
|
||||
List<StoreHomepage> topRightList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SLIDING_PICTURE_SMALL.getValue())).collect(Collectors.toList());
|
||||
List<StoreHomeTemplateItemResDTO> topRightRecommendList;
|
||||
if (CollectionUtils.isEmpty(topRightList)) {
|
||||
// 从latest50ProdList中随机选取最多2条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 2);
|
||||
topRightRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
topRightRecommendList = topRightList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
// 顶部右侧推荐商品
|
||||
templateFour.setTopRightList(topRightRecommendList);
|
||||
|
||||
// 店家推荐 5条
|
||||
List<StoreHomepage> storeRecommendList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.STORE_RECOMMENDED.getValue())).collect(Collectors.toList());
|
||||
List<StoreHomeTemplateItemResDTO> recommendList;
|
||||
if (CollectionUtils.isEmpty(storeRecommendList)) {
|
||||
// 从latest50ProdList中随机选取最多5条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 5);
|
||||
recommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
recommendList = storeRecommendList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
templateFour.setTopRightList(this.getTopRightList(otherList, latest50ProdList, attrMap, 2));
|
||||
// 档口推荐列表
|
||||
templateFour.setRecommendList(recommendList);
|
||||
|
||||
List<StoreHomeTemplateItemResDTO> popularRecommendList;
|
||||
// 人气爆款 5条
|
||||
List<StoreHomepage> popularSaleList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.POPULAR_SALES.getValue())).collect(Collectors.toList());
|
||||
if (CollectionUtils.isEmpty(popularSaleList)) {
|
||||
// 从latest50ProdList中随机选取最多5条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 5);
|
||||
popularRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
popularRecommendList = popularSaleList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
templateFour.setRecommendList(this.getStoreRecommendProdList(otherList, latest50ProdList, attrMap, 5));
|
||||
// 人气爆款列表
|
||||
templateFour.setPopularSaleList(popularRecommendList);
|
||||
|
||||
// 当季新品 5条
|
||||
List<StoreHomepage> seasonNewProductsList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SEASON_NEW_PRODUCTS.getValue())).collect(Collectors.toList());
|
||||
List<StoreHomeTemplateItemResDTO> seasonNewRecommendList;
|
||||
if (CollectionUtils.isEmpty(seasonNewProductsList)) {
|
||||
// 从latest50ProdList中随机选取最多5条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 5);
|
||||
seasonNewRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
seasonNewRecommendList = seasonNewProductsList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
templateFour.setPopularSaleList(this.getPopularSaleList(otherList, latest50ProdList, attrMap, 5));
|
||||
// 当季新品列表
|
||||
templateFour.setNewProdList(seasonNewRecommendList);
|
||||
templateFour.setNewProdList(this.getSeasonNewProdList(otherList, latest50ProdList, attrMap, 5));
|
||||
return templateFour;
|
||||
}
|
||||
|
||||
|
|
@ -749,229 +411,15 @@ public class StoreHomepageServiceImpl implements IStoreHomepageService {
|
|||
List<StoreProdPriceAndMainPicAndTagDTO> attrList = this.storeProdMapper.selectPriceAndMainPicAndTagList(prodIdList);
|
||||
Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap = attrList.stream()
|
||||
.collect(Collectors.toMap(StoreProdPriceAndMainPicAndTagDTO::getStoreProdId, Function.identity()));
|
||||
// 顶部右侧商品2条
|
||||
List<StoreHomepage> topRightList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SLIDING_PICTURE_SMALL.getValue())).collect(Collectors.toList());
|
||||
List<StoreHomeTemplateItemResDTO> topRightRecommendList;
|
||||
if (CollectionUtils.isEmpty(topRightList)) {
|
||||
// 从latest50ProdList中随机选取最多2条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 2);
|
||||
topRightRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
topRightRecommendList = topRightList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
// 顶部右侧推荐商品
|
||||
templateFive.setTopRightList(topRightRecommendList);
|
||||
|
||||
// 店家推荐 10条
|
||||
List<StoreHomepage> storeRecommendList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.STORE_RECOMMENDED.getValue())).collect(Collectors.toList());
|
||||
List<StoreHomeTemplateItemResDTO> recommendList;
|
||||
if (CollectionUtils.isEmpty(storeRecommendList)) {
|
||||
// 从latest50ProdList中随机选取最多5条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 10);
|
||||
recommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
recommendList = storeRecommendList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
templateFive.setTopRightList(this.getTopRightList(otherList, latest50ProdList, attrMap, 2));
|
||||
// 档口推荐列表
|
||||
templateFive.setRecommendList(recommendList);
|
||||
|
||||
List<StoreHomeTemplateItemResDTO> saleRankRecommendList;
|
||||
// 销量排行 10条
|
||||
List<StoreHomepage> salesRankingList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SALES_RANKING.getValue())).collect(Collectors.toList());
|
||||
if (CollectionUtils.isEmpty(salesRankingList)) {
|
||||
// 从latest50ProdList中随机选取最多10条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, 10);
|
||||
saleRankRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
saleRankRecommendList = salesRankingList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
templateFive.setRecommendList(this.getStoreRecommendProdList(otherList, latest50ProdList, attrMap, 10));
|
||||
// 销量排行列表
|
||||
templateFive.setSaleRankList(saleRankRecommendList);
|
||||
templateFive.setSaleRankList(this.getSaleRankList(otherList, latest50ProdList, attrMap, 10));
|
||||
return templateFive;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取档口首页各个类型的数据
|
||||
*
|
||||
* @param list 各个的数据列表
|
||||
* @param attrMap 各个属性map
|
||||
* @param templateType 当前模板type
|
||||
* @param limitCount 返回商品数量
|
||||
* @return List<StoreHomeTemplateItemResDTO>
|
||||
*/
|
||||
private List<StoreHomeTemplateItemResDTO> getTemplateTypeList(List<StoreHomepage> list, Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap,
|
||||
Integer templateType, Integer limitCount) {
|
||||
// 顶部右侧商品
|
||||
return list.stream().filter(x -> Objects.equals(x.getFileType(), templateType))
|
||||
.map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO attr = attrMap.get(x.getBizId());
|
||||
final List<String> tags = ObjectUtils.isNotEmpty(attr) && StringUtils.isNotBlank(attr.getTagStr())
|
||||
? Arrays.asList(attr.getTagStr().split(",")) : null;
|
||||
return new StoreHomeTemplateItemResDTO().setOrderNum(x.getOrderNum())
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setTags(tags)
|
||||
.setStoreId(ObjectUtils.isNotEmpty(attr) ? attr.getStoreId() : null)
|
||||
.setStoreName(ObjectUtils.isNotEmpty(attr) ? attr.getStoreName() : null)
|
||||
.setStoreProdId(ObjectUtils.isNotEmpty(attr) ? attr.getStoreProdId() : null)
|
||||
.setProdArtNum(ObjectUtils.isNotEmpty(attr) ? attr.getProdArtNum() : null)
|
||||
.setMainPicUrl(ObjectUtils.isNotEmpty(attr) ? attr.getMainPicUrl() : null)
|
||||
.setProdPrice(ObjectUtils.isNotEmpty(attr) ? attr.getMinPrice() : null)
|
||||
.setProdTitle(ObjectUtils.isNotEmpty(attr) ? attr.getProdTitle() : null)
|
||||
.setHasVideo(ObjectUtils.isNotEmpty(attr) ? attr.getHasVideo() : Boolean.FALSE);
|
||||
})
|
||||
.limit(limitCount)
|
||||
.collect(Collectors.toList());
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取档口商品颜色尺码的库存
|
||||
*
|
||||
* @param stockList 库存数量
|
||||
* @param standardSizeList 当前商品的标准尺码
|
||||
* @return Map<Long, Map < Integer, Integer>>
|
||||
*/
|
||||
private Map<String, List<StoreHomeProdResDTO.StoreProdSizeStockDTO>> convertSizeStock(List<StoreProductStock> stockList, List<StoreProductColorSize> standardSizeList) {
|
||||
Map<String, List<StoreHomeProdResDTO.StoreProdSizeStockDTO>> colorSizeStockMap = new HashMap<>();
|
||||
if (CollectionUtils.isEmpty(stockList)) {
|
||||
return colorSizeStockMap;
|
||||
}
|
||||
// 标准尺码map
|
||||
Map<Integer, StoreProductColorSize> standardSizeMap = standardSizeList.stream().collect(Collectors.toMap(StoreProductColorSize::getSize, Function.identity()));
|
||||
Map<String, List<StoreProductStock>> map = stockList.stream().collect(Collectors.groupingBy(x -> x.getStoreProdId().toString() + x.getStoreColorId().toString()));
|
||||
map.forEach((unionId, tempStockList) -> {
|
||||
List<StoreHomeProdResDTO.StoreProdSizeStockDTO> sizeStockList = new ArrayList<>();
|
||||
Integer size30Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize30(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_30)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_30);
|
||||
setStock(size30Stock);
|
||||
}});
|
||||
}
|
||||
Integer size31Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize31(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_31)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_31);
|
||||
setStock(size31Stock);
|
||||
}});
|
||||
}
|
||||
Integer size32Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize32(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_32)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_32);
|
||||
setStock(size32Stock);
|
||||
}});
|
||||
}
|
||||
Integer size33Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize33(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_33)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_33);
|
||||
setStock(size33Stock);
|
||||
}});
|
||||
}
|
||||
Integer size34Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize34(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_34)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_34);
|
||||
setStock(size34Stock);
|
||||
}});
|
||||
}
|
||||
Integer size35Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize35(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_35)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_35);
|
||||
setStock(size35Stock);
|
||||
}});
|
||||
}
|
||||
Integer size36Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize36(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_36)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_36);
|
||||
setStock(size36Stock);
|
||||
}});
|
||||
}
|
||||
Integer size37Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize37(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_37)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_37);
|
||||
setStock(size37Stock);
|
||||
}});
|
||||
}
|
||||
Integer size38Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize38(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_38)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_38);
|
||||
setStock(size38Stock);
|
||||
}});
|
||||
}
|
||||
Integer size39Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize39(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_39)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_39);
|
||||
setStock(size39Stock);
|
||||
}});
|
||||
}
|
||||
Integer size40Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize40(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_40)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_40);
|
||||
setStock(size40Stock);
|
||||
}});
|
||||
}
|
||||
Integer size41Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize41(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_41)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_41);
|
||||
setStock(size41Stock);
|
||||
}});
|
||||
}
|
||||
Integer size42Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize42(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_42)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_42);
|
||||
setStock(size42Stock);
|
||||
}});
|
||||
}
|
||||
Integer size43Stock = tempStockList.stream().map(x -> ObjectUtils.defaultIfNull(x.getSize43(), 0)).reduce(0, Integer::sum);
|
||||
if (standardSizeMap.containsKey(SIZE_43)) {
|
||||
sizeStockList.add(new StoreHomeProdResDTO.StoreProdSizeStockDTO() {{
|
||||
setSize(SIZE_43);
|
||||
setStock(size43Stock);
|
||||
}});
|
||||
}
|
||||
colorSizeStockMap.put(unionId, sizeStockList);
|
||||
});
|
||||
return colorSizeStockMap;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 新增档口首页模板展示
|
||||
|
|
@ -1006,9 +454,9 @@ public class StoreHomepageServiceImpl implements IStoreHomepageService {
|
|||
/**
|
||||
* 从列表中随机选择指定数量的元素
|
||||
*
|
||||
* @param list 列表
|
||||
* @param list 列表
|
||||
* @param count 需要选择的数量
|
||||
* @param <T> 元素类型
|
||||
* @param <T> 元素类型
|
||||
* @return 随机选择的元素列表
|
||||
*/
|
||||
private <T> List<T> getRandomElements(List<T> list, int count) {
|
||||
|
|
@ -1058,5 +506,176 @@ public class StoreHomepageServiceImpl implements IStoreHomepageService {
|
|||
return dailySaleTop10ProdList;
|
||||
}
|
||||
|
||||
/**
|
||||
* 设置档口首页右侧商品列表
|
||||
*
|
||||
* @param otherList 其它部分列表数据
|
||||
* @param latest50ProdList 档口最新50条商品数据
|
||||
* @param attrMap 商品属性数据
|
||||
* @param count
|
||||
* @return
|
||||
*/
|
||||
private List<StoreHomeTemplateItemResDTO> getTopRightList(List<StoreHomepage> otherList, List<StoreProduct> latest50ProdList,
|
||||
Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap, int count) {
|
||||
// 顶部右侧商品2条
|
||||
List<StoreHomepage> topRightList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SLIDING_PICTURE_SMALL.getValue())).collect(Collectors.toList());
|
||||
List<StoreHomeTemplateItemResDTO> topRightRecommendList;
|
||||
if (CollectionUtils.isEmpty(topRightList)) {
|
||||
// 从latest50ProdList中随机选取最多2条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, count);
|
||||
topRightRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
topRightRecommendList = topRightList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
return topRightRecommendList;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取档口推荐列表
|
||||
*
|
||||
* @param otherList 档口首页各部分数据
|
||||
* @param latest50ProdList 档口最新的50条商品
|
||||
* @param attrMap 属性map
|
||||
* @param count 随机获取数据条数
|
||||
* @return
|
||||
*/
|
||||
private List<StoreHomeTemplateItemResDTO> getStoreRecommendProdList(List<StoreHomepage> otherList, List<StoreProduct> latest50ProdList,
|
||||
Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap, int count) {
|
||||
// 店家推荐 5条
|
||||
List<StoreHomepage> storeRecommendList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.STORE_RECOMMENDED.getValue())).collect(Collectors.toList());
|
||||
List<StoreHomeTemplateItemResDTO> recommendList;
|
||||
if (CollectionUtils.isEmpty(storeRecommendList)) {
|
||||
// 从latest50ProdList中随机选取最多5条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, count);
|
||||
recommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
recommendList = storeRecommendList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
return recommendList;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取人气爆款列表
|
||||
*
|
||||
* @param otherList 档口首页其它部分数据
|
||||
* @param latest50ProdList 档口最新50条商品数据
|
||||
* @param attrMap 属性map
|
||||
* @param count 截取的数量
|
||||
* @return
|
||||
*/
|
||||
private List<StoreHomeTemplateItemResDTO> getPopularSaleList(List<StoreHomepage> otherList, List<StoreProduct> latest50ProdList,
|
||||
Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap, int count) {
|
||||
|
||||
List<StoreHomeTemplateItemResDTO> popularRecommendList;
|
||||
// 人气爆款 5条
|
||||
List<StoreHomepage> popularSaleList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.POPULAR_SALES.getValue())).collect(Collectors.toList());
|
||||
if (CollectionUtils.isEmpty(popularSaleList)) {
|
||||
// 从latest50ProdList中随机选取最多5条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, count);
|
||||
popularRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
popularRecommendList = popularSaleList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
return popularRecommendList;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取当季新品列表数据
|
||||
*
|
||||
* @param otherList 档口首页其它部分数据
|
||||
* @param latest50ProdList 档口最新的50条商品
|
||||
* @param attrMap 属性map
|
||||
* @param count 截取数据
|
||||
* @return
|
||||
*/
|
||||
private List<StoreHomeTemplateItemResDTO> getSeasonNewProdList(List<StoreHomepage> otherList, List<StoreProduct> latest50ProdList,
|
||||
Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap, int count) {
|
||||
// 当季新品 5条
|
||||
List<StoreHomepage> seasonNewProductsList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SEASON_NEW_PRODUCTS.getValue())).collect(Collectors.toList());
|
||||
List<StoreHomeTemplateItemResDTO> seasonNewRecommendList;
|
||||
if (CollectionUtils.isEmpty(seasonNewProductsList)) {
|
||||
// 从latest50ProdList中随机选取最多5条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, count);
|
||||
seasonNewRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
seasonNewRecommendList = seasonNewProductsList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
return seasonNewRecommendList;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取销量排行列表
|
||||
*
|
||||
* @param otherList 档口首页其它部分数据
|
||||
* @param latest50ProdList 档口最新的50条商品
|
||||
* @param attrMap 商品属性map
|
||||
* @param count 截取数量
|
||||
* @return
|
||||
*/
|
||||
private List<StoreHomeTemplateItemResDTO> getSaleRankList(List<StoreHomepage> otherList, List<StoreProduct> latest50ProdList,
|
||||
Map<Long, StoreProdPriceAndMainPicAndTagDTO> attrMap, int count) {
|
||||
List<StoreHomeTemplateItemResDTO> saleRankRecommendList;
|
||||
// 销量排行 10条
|
||||
List<StoreHomepage> salesRankingList = otherList.stream().filter(x -> Objects.equals(x.getFileType(), HomepageType.SALES_RANKING.getValue())).collect(Collectors.toList());
|
||||
if (CollectionUtils.isEmpty(salesRankingList)) {
|
||||
// 从latest50ProdList中随机选取最多10条数据
|
||||
List<StoreProduct> randomProductList = getRandomElements(latest50ProdList, count);
|
||||
saleRankRecommendList = randomProductList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
} else {
|
||||
saleRankRecommendList = salesRankingList.stream().map(x -> {
|
||||
StoreProdPriceAndMainPicAndTagDTO dto = attrMap.get(x.getId());
|
||||
return BeanUtil.toBean(dto, StoreHomeTemplateItemResDTO.class)
|
||||
.setDisplayType(AdDisplayType.PRODUCT.getValue()).setProdPrice(ObjectUtils.isNotEmpty(dto) ? dto.getMinPrice() : null)
|
||||
.setTags(ObjectUtils.isNotEmpty(dto) && StringUtils.isNotBlank(dto.getTagStr()) ? StrUtil.split(dto.getTagStr(), ",") : null);
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
return saleRankRecommendList;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue