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@@ -2673,4 +2673,1298 @@ public class StoreInfoServiceImpl extends ServiceImpl<StoreInfoMapper, StoreInfo
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}
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return map;
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}
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+
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+ /**
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+ * 获取活动banner图
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+ */
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+
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+ public List<StoreImg> getBannerUrl(String storeId){
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+ LambdaQueryWrapper<StoreImg> queryWrapper = new LambdaQueryWrapper<StoreImg>()
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+ .eq(StoreImg::getStoreId, Integer.parseInt(storeId))
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+ .eq(StoreImg::getImgType, 26)
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+ .eq(StoreImg::getDeleteFlag, 0);
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+ return storeImgMapper.selectList(queryWrapper);
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+ }
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+
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+
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+
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+ /**
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+ * 获取活动详情banner图
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+ */
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+
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+ public List<StoreImg> getBannerUrlInfo(String storeId, Integer businessId){
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+ LambdaQueryWrapper<StoreImg> queryWrapper = new LambdaQueryWrapper<StoreImg>()
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+ .eq(StoreImg::getStoreId, Integer.parseInt(storeId))
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+ .eq(StoreImg::getImgType, 27)
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+ .eq(StoreImg::getDeleteFlag, 0)
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+ .eq(StoreImg::getBusinessId, businessId);
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+ return storeImgMapper.selectList(queryWrapper);
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+ }
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+
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+
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+
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+
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+ @Override
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+ public IPage<StoreInfoVo> getLifeServicesByDistance(Double lon, Double lat, Double distance, Integer sortType, Integer businessType, Integer categoryId, int pageNum, int pageSize) {
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+ // 参数校验
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+ if (lon == null || lat == null) {
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+ throw new IllegalArgumentException("经纬度参数不能为空");
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+ }
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+
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+ // 智能检测：如果参数可能传反了（lat超出范围但lon在范围内），给出提示
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+ if (Math.abs(lat) > 90 && Math.abs(lon) <= 90) {
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+ throw new IllegalArgumentException(
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+ String.format("参数可能传反了！当前值: lon=%s, lat=%s。经度范围: [-180, 180]，纬度范围: [-90, 90]。请检查参数顺序。", lon, lat)
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+ );
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+ }
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+
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+ // 校验经纬度范围：经度 [-180, 180]，纬度 [-90, 90]
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+ if (lon < -180 || lon > 180) {
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+ throw new IllegalArgumentException("经度参数超出有效范围 [-180, 180]，当前值: " + lon);
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+ }
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+ if (lat < -90 || lat > 90) {
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+ throw new IllegalArgumentException("纬度参数超出有效范围 [-90, 90]，当前值: " + lat);
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+ }
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+ final int finalSortType = (sortType == null || sortType < 1 || sortType > 3) ? 1 : sortType; // 默认智能排序
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+ if (pageNum <= 0) {
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+ pageNum = 1;
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+ }
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+ if (pageSize <= 0) {
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+ pageSize = 10;
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+ }
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+
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+ // 构建查询条件
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+ QueryWrapper<StoreInfoVo> queryWrapper = new QueryWrapper<>();
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+
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+ // 如果传入了dictId，根据字典id查询经营板块、经营种类、分类并匹配店铺
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+ if (categoryId != null) {
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+ // 根据categoryId查询字典表记录
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+ StoreDictionary dict = storeDictionaryMapper.selectById(categoryId);
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+ if (dict == null || dict.getDeleteFlag() == 1) {
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+ throw new IllegalArgumentException("字典id不存在或已删除: " + categoryId);
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+ }
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+
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+ String typeName = dict.getTypeName();
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+ String dictIdStr =dict.getDictId();
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+
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+ if ("business_section".equals(typeName)) {
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+ // 如果是经营板块，直接匹配business_section
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+ try {
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+ Integer sectionId = Integer.parseInt(dictIdStr);
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+ queryWrapper.eq("a.business_section", sectionId);
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+ } catch (NumberFormatException e) {
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+ throw new IllegalArgumentException("经营板块dictId格式错误: " + dictIdStr);
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+ }
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+ } else if ("business_type".equals(typeName)) {
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+ // 如果是经营种类，需要：
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+ // 1. 向上查找父级（经营板块）
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+ // 2. 匹配business_section和business_types
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+ StoreDictionary parentDict = storeDictionaryMapper.selectById(dict.getParentId());
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+ if (parentDict == null || !"business_section".equals(parentDict.getTypeName())) {
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+ throw new IllegalArgumentException("经营种类的父级不是经营板块，categoryId: " + categoryId);
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+ }
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+
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+ try {
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+ Integer sectionId = Integer.parseInt(parentDict.getDictId());
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+ queryWrapper.eq("a.business_section", sectionId);
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+ // 使用FIND_IN_SET匹配business_types字段（逗号分隔）
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+ queryWrapper.apply("FIND_IN_SET({0}, a.business_types) > 0", dictIdStr);
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+ } catch (NumberFormatException e) {
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+ throw new IllegalArgumentException("经营板块或经营种类dictId格式错误");
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+ }
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+ } else if ("business_classify".equals(typeName)) {
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+ // 如果是分类，需要：
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+ // 1. 向上查找父级（经营种类）
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+ // 2. 向上查找祖父级（经营板块）
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+ // 3. 匹配business_section、business_types和business_classify
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+ StoreDictionary parentDict = storeDictionaryMapper.selectById(dict.getParentId());
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+ if (parentDict == null || !"business_type".equals(parentDict.getTypeName())) {
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+ throw new IllegalArgumentException("分类的父级不是经营种类，categoryId: " + categoryId);
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+ }
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+
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+ StoreDictionary grandParentDict = storeDictionaryMapper.selectById(parentDict.getParentId());
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+ if (grandParentDict == null || !"business_section".equals(grandParentDict.getTypeName())) {
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+ throw new IllegalArgumentException("经营种类的父级不是经营板块，categoryId: " + categoryId);
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+ }
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+
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+ try {
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+ Integer sectionId = Integer.parseInt(grandParentDict.getDictId());
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+ queryWrapper.eq("a.business_section", sectionId);
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+ // 使用FIND_IN_SET匹配business_types字段
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+ queryWrapper.apply("FIND_IN_SET({0}, a.business_types) > 0", parentDict.getDictId());
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+ // 使用FIND_IN_SET匹配business_classify字段
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+ queryWrapper.apply("FIND_IN_SET({0}, a.business_classify) > 0", dictIdStr);
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+ } catch (NumberFormatException e) {
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+ throw new IllegalArgumentException("经营板块、经营种类或分类dictId格式错误");
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+ }
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+ } else {
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+ throw new IllegalArgumentException("不支持的字典类型: " + typeName + ", categoryId: " + categoryId);
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+ }
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+ } else if (businessType != null) {
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+ // 如果指定了businessType，则根据传入的数值进行筛选
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+ // 直接使用传入的数值作为business_section进行筛选
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+ // KTV=3、洗浴汗蒸=4、按摩足浴=5，酒吧的数值未知（由调用方传入）
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+ queryWrapper.eq("a.business_section", businessType);
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+ } else {
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+ // 如果没有指定businessType，则查询所有两种类型的店铺
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+ // 需要查询字典表获取所有四种类型的dictId
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+ List<String> storeTypeNames = Arrays.asList("丽人美发","运动健身");
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+ List<StoreDictionary> storeDictionaries = storeDictionaryMapper.selectList(
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+ new LambdaQueryWrapper<StoreDictionary>()
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+ .eq(StoreDictionary::getTypeName, "business_section")
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+ .in(StoreDictionary::getDictDetail, storeTypeNames)
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+ .eq(StoreDictionary::getDeleteFlag, 0)
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+ );
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+
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+ List<Integer> businessSectionIds = storeDictionaries.stream()
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+ .filter(d -> StringUtils.isNotEmpty(d.getDictId()))
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+ .map(StoreDictionary::getDictId)
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+ .map(dictIdStr -> {
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+ try {
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+ return Integer.parseInt(dictIdStr);
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+ } catch (NumberFormatException e) {
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+ return null;
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+ }
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+ })
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+ .filter(Objects::nonNull)
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+ .collect(Collectors.toList());
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+
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+ // 使用business_section字段进行筛选
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+ queryWrapper.in("a.business_section", businessSectionIds);
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+ }
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+
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+ // 过滤已删除的门店
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+ queryWrapper.eq("a.delete_flag", 0);
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+ // 过滤注销的门店
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+ queryWrapper.eq("a.logout_flag", 0);
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+ // 过滤禁用的门店
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+ queryWrapper.ne("a.store_status", 0);
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+ // 过滤永久关门的店铺
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+ queryWrapper.ne("a.business_status", 99);
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+ // 过滤过期的经营许可证
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+ queryWrapper.ge("a.entertainment_licence_expiration_time", new Date());
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+
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+ // 距离优先模式：只显示10公里内且3.5星以上的店铺
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+ final Double finalDistance;
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+ if (finalSortType == 3) {
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+ queryWrapper.ge("a.score_avg", 3.5);
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+ if (distance == null || distance <= 0) {
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+ finalDistance = 10.0; // 默认10公里
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+ } else if (distance > 10) {
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+ finalDistance = 10.0; // 距离优先最多10公里
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+ } else {
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+ finalDistance = distance;
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+ }
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+ } else {
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+ finalDistance = distance;
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+ }
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+
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+ // 先按距离排序获取所有数据（用于计算距离）
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+ queryWrapper.orderByAsc("dist");
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+
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+ // 创建分页对象（先获取更多数据用于排序计算）
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+ IPage<StoreInfoVo> page = new Page<>(1, 1000); // 先获取足够多的数据
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+ IPage<StoreInfoVo> storeInfoIPage = storeInfoMapper.getPageForDistance(page, lon + "," + lat, queryWrapper);
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+ List<StoreInfoVo> storeInfoVoList = storeInfoIPage.getRecords();
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+
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+ // 如果指定了距离范围，进行距离筛选
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+ if (finalDistance != null && finalDistance > 0) {
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+ storeInfoVoList = storeInfoVoList.stream()
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+ .filter(store -> {
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+ String distStr = store.getDist();
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+ if (distStr == null || distStr.isEmpty()) {
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+ return false;
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+ }
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+ try {
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+ double storeDistance = Double.parseDouble(distStr);
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+ return storeDistance <= finalDistance;
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+ } catch (NumberFormatException e) {
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+ return false;
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+ }
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+ })
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+ .collect(Collectors.toList());
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+ }
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+
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+ // 计算时间范围
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+ LocalDateTime now = LocalDateTime.now();
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+ LocalDateTime sevenDaysAgo = now.minusDays(7);
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+ LocalDateTime thirtyDaysAgo = now.minusDays(30);
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+ DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
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+ String sevenDaysAgoStr = sevenDaysAgo.format(formatter);
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+ String thirtyDaysAgoStr = thirtyDaysAgo.format(formatter);
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+
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+ // 提取所有门店ID
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+ List<Integer> storeIds = storeInfoVoList.stream().map(StoreInfoVo::getId).collect(Collectors.toList());
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+
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+ if (CollectionUtils.isEmpty(storeIds)) {
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+ // 如果没有符合条件的店铺，返回空结果
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+ IPage<StoreInfoVo> emptyPage = new Page<>(pageNum, pageSize);
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+ emptyPage.setRecords(new ArrayList<>());
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+ emptyPage.setTotal(0);
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+ return emptyPage;
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+ }
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+
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+ // 查询近7天销量（订单数）
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+ Map<Integer, Long> sales7DaysMap = new HashMap<>();
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+ if (finalSortType == 1) { // 智能排序需要销量数据
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+ LambdaQueryWrapper<LifeUserOrder> orderWrapper = new LambdaQueryWrapper<>();
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+ orderWrapper.in(LifeUserOrder::getStoreId, storeIds)
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+ .and(w -> w.and(w1 -> w1.eq(LifeUserOrder::getStatus, 7)
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+ .ge(LifeUserOrder::getFinishTime, sevenDaysAgoStr))
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+ .or(w2 -> w2.eq(LifeUserOrder::getStatus, 1)
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+ .ge(LifeUserOrder::getPayTime, sevenDaysAgoStr)))
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+ .eq(LifeUserOrder::getDeleteFlag, 0);
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+ List<LifeUserOrder> orders7Days = lifeUserOrderMapper.selectList(orderWrapper);
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+ Map<Integer, Long> tempSalesMap = orders7Days.stream()
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+ .filter(order -> order.getStoreId() != null)
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+ .collect(Collectors.groupingBy(
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+ order -> Integer.parseInt(order.getStoreId()),
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+ Collectors.counting()));
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+ sales7DaysMap.putAll(tempSalesMap);
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+ }
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+
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+ // 查询近30天好评数（score >= 4.5）
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+ Map<Integer, Long> goodComment30DaysMap = new HashMap<>();
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+ // 查询近7天评论数
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+ Map<Integer, Long> comment7DaysMap = new HashMap<>();
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+ // 查询总评论数
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+ Map<Integer, Long> totalCommentMap = new HashMap<>();
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+
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+ if (finalSortType == 2) { // 好评优先需要评论数据
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+ // 近30天好评数
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+ LambdaQueryWrapper<StoreComment> goodCommentWrapper = new LambdaQueryWrapper<>();
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+ goodCommentWrapper.in(StoreComment::getStoreId, storeIds)
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+ .eq(StoreComment::getBusinessType, 5)
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+ .eq(StoreComment::getDeleteFlag, 0)
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+ .isNull(StoreComment::getReplyId)
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+ .ge(StoreComment::getScore, 4.5)
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+ .ge(StoreComment::getCreatedTime, thirtyDaysAgoStr);
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+ List<StoreComment> goodComments30Days = storeCommentMapper.selectList(goodCommentWrapper);
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+ Map<Integer, Long> tempGoodCommentMap = goodComments30Days.stream()
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+ .collect(Collectors.groupingBy(StoreComment::getStoreId, Collectors.counting()));
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+ goodComment30DaysMap.putAll(tempGoodCommentMap);
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+
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+ // 近7天评论数
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+ LambdaQueryWrapper<StoreComment> comment7DaysWrapper = new LambdaQueryWrapper<>();
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+ comment7DaysWrapper.in(StoreComment::getStoreId, storeIds)
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+ .eq(StoreComment::getBusinessType, 5)
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+ .eq(StoreComment::getDeleteFlag, 0)
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+ .isNull(StoreComment::getReplyId)
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+ .ge(StoreComment::getCreatedTime, sevenDaysAgoStr);
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+ List<StoreComment> comments7Days = storeCommentMapper.selectList(comment7DaysWrapper);
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+ Map<Integer, Long> tempComment7DaysMap = comments7Days.stream()
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+ .collect(Collectors.groupingBy(StoreComment::getStoreId, Collectors.counting()));
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+ comment7DaysMap.putAll(tempComment7DaysMap);
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+
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+ // 总评论数
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+ LambdaQueryWrapper<StoreComment> totalCommentWrapper = new LambdaQueryWrapper<>();
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+ totalCommentWrapper.in(StoreComment::getStoreId, storeIds)
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+ .eq(StoreComment::getBusinessType, 5)
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+ .eq(StoreComment::getDeleteFlag, 0)
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+ .isNull(StoreComment::getReplyId);
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+ List<StoreComment> totalComments = storeCommentMapper.selectList(totalCommentWrapper);
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+ Map<Integer, Long> tempTotalCommentMap = totalComments.stream()
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+ .collect(Collectors.groupingBy(StoreComment::getStoreId, Collectors.counting()));
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+ totalCommentMap.putAll(tempTotalCommentMap);
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+ }
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+
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+ // 获取全部店铺的评分
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+ Map<String, List<Map<String, Object>>> avgScoreMap = storeEvaluationMapper.allStoreAvgScore().stream()
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+ .collect(Collectors.groupingBy(o -> o.get("store_id").toString()));
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+ Map<String, List<Map<String, Object>>> avgPriceMap = lifeUserOrderMapper.allStoreAvgPrice().stream()
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+ .collect(Collectors.groupingBy(o -> o.get("store_id").toString()));
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+
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+ // 计算综合得分并排序
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+ List<StoreInfoVo> sortedList = storeInfoVoList.stream()
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+ .map(store -> {
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+ // 获取基础评分（score_avg × 2，标准化为0-10分）
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+ Double scoreAvg = store.getScoreAvg() != null ? store.getScoreAvg() : 0.0;
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+ double baseScore = Math.min(scoreAvg * 2, 10.0); // 基础评分，最高10分
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+
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+ // 获取距离
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+ double storeDistance = 999999;
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+ try {
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+ String distStr = store.getDist();
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+ if (distStr != null && !distStr.isEmpty()) {
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+ storeDistance = Double.parseDouble(distStr);
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+ }
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+ } catch (NumberFormatException e) {
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+ // 忽略
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+ }
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+
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+ double finalScore = 0.0;
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+
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+ if (finalSortType == 1) {
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+ // 智能排序：综合评分×50% + 近7天销量×30% + 距离得分×20%
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+ // 综合评分（基础评分）
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+ double scorePart = baseScore * 0.5;
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+
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+ // 近7天销量（需要标准化，假设最大销量为100）
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+ long sales7Days = sales7DaysMap.getOrDefault(store.getId(), 0L);
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+ double salesScore = Math.min(sales7Days / 100.0 * 10, 10.0); // 标准化到0-10
|
|
|
+ double salesPart = salesScore * 0.3;
|
|
|
+
|
|
|
+ // 距离得分（距离越近得分越高，10公里内计算）
|
|
|
+ double distanceScore = storeDistance <= 10 ? (10 - storeDistance) / 10.0 * 10 : 0;
|
|
|
+ double distancePart = distanceScore * 0.2;
|
|
|
+
|
|
|
+ finalScore = scorePart + salesPart + distancePart;
|
|
|
+ } else if (finalSortType == 2) {
|
|
|
+ // 好评优先：综合评分×50% + 近30天好评数×35% + 近7天新评占比×15%
|
|
|
+ double scorePart = baseScore * 0.5;
|
|
|
+
|
|
|
+ // 近30天好评数（需要标准化，假设最大好评数为50）
|
|
|
+ long goodComment30Days = goodComment30DaysMap.getOrDefault(store.getId(), 0L);
|
|
|
+ double goodCommentScore = Math.min(goodComment30Days / 50.0 * 10, 10.0);
|
|
|
+ double goodCommentPart = goodCommentScore * 0.35;
|
|
|
+
|
|
|
+ // 近7天新评占比
|
|
|
+ long comment7Days = comment7DaysMap.getOrDefault(store.getId(), 0L);
|
|
|
+ long totalComment = totalCommentMap.getOrDefault(store.getId(), 1L); // 避免除0
|
|
|
+ double newCommentRatio = (double) comment7Days / totalComment;
|
|
|
+ double newCommentPart = newCommentRatio * 10 * 0.15; // 占比转换为0-10分
|
|
|
+
|
|
|
+ finalScore = scorePart + goodCommentPart + newCommentPart;
|
|
|
+ } else if (finalSortType == 3) {
|
|
|
+ // 距离优先：距离得分 = (10 - 实际距离) × 80% + 基础评分 × 20%（10公里内计算）
|
|
|
+ if (storeDistance <= 10) {
|
|
|
+ double distanceScore = (10 - storeDistance) / 10.0 * 10; // 标准化到0-10
|
|
|
+ double distancePart = distanceScore * 0.8;
|
|
|
+ double scorePart = baseScore * 0.2;
|
|
|
+ finalScore = distancePart + scorePart;
|
|
|
+ } else {
|
|
|
+ finalScore = -1; // 超出范围，不展示
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 设置综合得分（用于排序）
|
|
|
+ store.setDistance(storeDistance);
|
|
|
+ // 使用反射或扩展字段存储finalScore，这里我们使用一个临时字段
|
|
|
+ // 由于StoreInfoVo没有finalScore字段，我们使用distance字段临时存储，排序后再恢复
|
|
|
+ return new Object[] { store, finalScore };
|
|
|
+ })
|
|
|
+ .filter(item -> {
|
|
|
+ // 距离优先模式：过滤掉超出范围的
|
|
|
+ if (finalSortType == 3) {
|
|
|
+ return ((Double) item[1]) >= 0;
|
|
|
+ }
|
|
|
+ return true;
|
|
|
+ })
|
|
|
+ .sorted((a, b) -> Double.compare((Double) b[1], (Double) a[1])) // 按得分降序
|
|
|
+ .map(item -> (StoreInfoVo) item[0])
|
|
|
+ .collect(Collectors.toList());
|
|
|
+
|
|
|
+ // 分页处理
|
|
|
+ long total = sortedList.size();
|
|
|
+ int start = (pageNum - 1) * pageSize;
|
|
|
+ int end = Math.min(start + pageSize, sortedList.size());
|
|
|
+ List<StoreInfoVo> pagedList;
|
|
|
+ if (start < sortedList.size()) {
|
|
|
+ pagedList = sortedList.subList(start, end);
|
|
|
+ } else {
|
|
|
+ pagedList = new ArrayList<>();
|
|
|
+ }
|
|
|
+
|
|
|
+ // 查询每个店铺的最新代金券（只显示一个，最新创建的）
|
|
|
+ Map<Integer, LifeCoupon> latestCouponMap = new HashMap<>();
|
|
|
+ if (!CollectionUtils.isEmpty(pagedList)) {
|
|
|
+ List<Integer> pagedStoreIds = pagedList.stream().map(StoreInfoVo::getId).collect(Collectors.toList());
|
|
|
+ // 查询所有店铺的代金券，按创建时间降序
|
|
|
+ LambdaQueryWrapper<LifeCoupon> couponWrapper = new LambdaQueryWrapper<>();
|
|
|
+ couponWrapper.in(LifeCoupon::getStoreId, pagedStoreIds.stream().map(String::valueOf).collect(Collectors.toList()))
|
|
|
+ .eq(LifeCoupon::getStatus, CouponStatusEnum.ONGOING.getCode())
|
|
|
+ .eq(LifeCoupon::getType, 1) // 代金券类型
|
|
|
+ .eq(LifeCoupon::getDeleteFlag, 0)
|
|
|
+ .orderByDesc(LifeCoupon::getCreatedTime);
|
|
|
+ List<LifeCoupon> allCoupons = lifeCouponMapper.selectList(couponWrapper);
|
|
|
+
|
|
|
+ // 为每个店铺只保留最新创建的一个代金券
|
|
|
+ for (LifeCoupon coupon : allCoupons) {
|
|
|
+ if (coupon.getStoreId() != null) {
|
|
|
+ try {
|
|
|
+ Integer storeId = Integer.parseInt(coupon.getStoreId());
|
|
|
+ // 如果该店铺还没有代金券，或者当前代金券更新，则更新
|
|
|
+ if (!latestCouponMap.containsKey(storeId)) {
|
|
|
+ latestCouponMap.put(storeId, coupon);
|
|
|
+ }
|
|
|
+ } catch (NumberFormatException e) {
|
|
|
+ // 忽略无效的storeId
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 设置评分、平均消费和代金券
|
|
|
+ for (StoreInfoVo store : pagedList) {
|
|
|
+ if (avgScoreMap.containsKey(String.valueOf(store.getId()))) {
|
|
|
+ store.setAvgScore(new BigDecimal(avgScoreMap.get(String.valueOf(store.getId())).get(0).get("avg_score").toString())
|
|
|
+ .setScale(1, RoundingMode.HALF_UP).toString());
|
|
|
+ store.setTotalNum(avgScoreMap.get(String.valueOf(store.getId())).get(0).get("total_num").toString());
|
|
|
+ } else {
|
|
|
+ store.setAvgScore("0");
|
|
|
+ store.setTotalNum("0");
|
|
|
+ }
|
|
|
+
|
|
|
+ if (avgPriceMap.containsKey(String.valueOf(store.getId()))) {
|
|
|
+ store.setAvgPrice(avgPriceMap.get(String.valueOf(store.getId())).get(0).get("avg_price").toString());
|
|
|
+ } else {
|
|
|
+ store.setAvgPrice("0");
|
|
|
+ }
|
|
|
+
|
|
|
+ // 设置最新代金券（只显示一个）
|
|
|
+ if (latestCouponMap.containsKey(store.getId())) {
|
|
|
+ LifeCoupon latestCoupon = latestCouponMap.get(store.getId());
|
|
|
+ LifeCouponVo couponVo = new LifeCouponVo();
|
|
|
+ BeanUtils.copyProperties(latestCoupon, couponVo);
|
|
|
+ // 只设置一个代金券到列表中
|
|
|
+ List<LifeCouponVo> couponList = new ArrayList<>();
|
|
|
+ couponList.add(couponVo);
|
|
|
+ store.setCouponList(couponList);
|
|
|
+ } else {
|
|
|
+ // 如果没有代金券，设置为空列表
|
|
|
+ store.setCouponList(new ArrayList<>());
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 创建分页对象
|
|
|
+ IPage<StoreInfoVo> resultPage = new Page<>(pageNum, pageSize);
|
|
|
+ resultPage.setRecords(pagedList);
|
|
|
+ resultPage.setTotal(total);
|
|
|
+ resultPage.setCurrent(pageNum);
|
|
|
+ resultPage.setSize(pageSize);
|
|
|
+ resultPage.setPages((total + pageSize - 1) / pageSize);
|
|
|
+
|
|
|
+ return resultPage;
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+ /**
|
|
|
+ * 你可能还喜欢（推荐店铺）
|
|
|
+ * 根据一级分类、二级分类、三级分类进行店铺筛选
|
|
|
+ * 筛选顺序：先三级，然后二级，最后一级
|
|
|
+ *
|
|
|
+ * @param businessSection 一级分类（经营板块）
|
|
|
+ * @param businessTypes 二级分类（经营种类）
|
|
|
+ * @param businessClassify 三级分类（分类）
|
|
|
+ * @param lon 经度
|
|
|
+ * @param lat 纬度
|
|
|
+ * @return List<StoreInfoVo> 店铺信息列表
|
|
|
+ */
|
|
|
+ @Override
|
|
|
+ public List<StoreInfoVo> getRecommendedStores(String businessSection, String businessTypes, String businessClassify, Double lon, Double lat) {
|
|
|
+ log.info("StoreInfoServiceImpl.getRecommendedStores?businessSection={},businessTypes={},businessClassify={},lon={},lat={}",
|
|
|
+ businessSection, businessTypes, businessClassify, lon, lat);
|
|
|
+
|
|
|
+ QueryWrapper<StoreInfoVo> queryWrapper = new QueryWrapper<>();
|
|
|
+ // 基础条件：未删除、已启用
|
|
|
+ queryWrapper.eq("a.delete_flag", 0)
|
|
|
+ .eq("b.delete_flag", 0)
|
|
|
+ .ne("a.business_status", 99) // 过滤永久关门的店铺
|
|
|
+ .ne("a.store_status", 0); // 过滤禁用的店铺
|
|
|
+
|
|
|
+ // 按照三级->二级->一级的顺序筛选
|
|
|
+
|
|
|
+ // 1. 先按三级分类（business_classify）筛选
|
|
|
+ if (StringUtils.isNotEmpty(businessClassify)) {
|
|
|
+ // 解析businessClassify参数（格式：1,2,3）
|
|
|
+ String[] classifyArray = businessClassify.split(",");
|
|
|
+ // 使用FIND_IN_SET函数检查数据库字段是否包含参数中的任何一个值
|
|
|
+ queryWrapper.and(wrapper -> {
|
|
|
+ for (int i = 0; i < classifyArray.length; i++) {
|
|
|
+ String classify = classifyArray[i].trim();
|
|
|
+ if (StringUtils.isNotEmpty(classify)) {
|
|
|
+ if (i == 0) {
|
|
|
+ wrapper.apply("FIND_IN_SET({0}, a.business_classify) > 0", classify);
|
|
|
+ } else {
|
|
|
+ wrapper.or().apply("FIND_IN_SET({0}, a.business_classify) > 0", classify);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ });
|
|
|
+ }
|
|
|
+
|
|
|
+ // 2. 然后按二级分类（business_types）筛选
|
|
|
+ if (StringUtils.isNotEmpty(businessTypes)) {
|
|
|
+ // business_types可能是逗号分隔的字符串，使用FIND_IN_SET处理
|
|
|
+ String[] typesArray = businessTypes.split(",");
|
|
|
+ queryWrapper.and(wrapper -> {
|
|
|
+ for (int i = 0; i < typesArray.length; i++) {
|
|
|
+ String type = typesArray[i].trim();
|
|
|
+ if (StringUtils.isNotEmpty(type)) {
|
|
|
+ if (i == 0) {
|
|
|
+ wrapper.apply("FIND_IN_SET({0}, a.business_types) > 0", type);
|
|
|
+ } else {
|
|
|
+ wrapper.or().apply("FIND_IN_SET({0}, a.business_types) > 0", type);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ });
|
|
|
+ }
|
|
|
+
|
|
|
+ // 3. 最后按一级分类（business_section）筛选
|
|
|
+ if (StringUtils.isNotEmpty(businessSection)) {
|
|
|
+ try {
|
|
|
+ Integer sectionId = Integer.parseInt(businessSection.trim());
|
|
|
+ queryWrapper.eq("a.business_section", sectionId);
|
|
|
+ } catch (NumberFormatException e) {
|
|
|
+ log.warn("一级分类参数格式错误: {}", businessSection);
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 查询店铺列表
|
|
|
+ List<StoreInfoVo> storeInfoVoList;
|
|
|
+ if (lon != null && lat != null) {
|
|
|
+ // 如果提供了经纬度，使用带距离计算的查询方法
|
|
|
+ String position = lon + "," + lat;
|
|
|
+ queryWrapper.isNotNull("a.store_position")
|
|
|
+ .ne("a.store_position", "");
|
|
|
+ // 按距离排序
|
|
|
+ queryWrapper.orderByAsc("dist");
|
|
|
+ storeInfoVoList = storeInfoMapper.getStoreInfoVoListNew(queryWrapper, position);
|
|
|
+ } else {
|
|
|
+ // 如果没有提供经纬度，使用普通查询方法
|
|
|
+ queryWrapper.orderByDesc("a.created_time");
|
|
|
+ storeInfoVoList = storeInfoMapper.getStoreInfoVoList(queryWrapper);
|
|
|
+ }
|
|
|
+
|
|
|
+ if (CollectionUtils.isEmpty(storeInfoVoList)) {
|
|
|
+ return Collections.emptyList();
|
|
|
+ }
|
|
|
+
|
|
|
+ // 处理店铺信息，设置评分等
|
|
|
+ // 提前查询所有需要的字典数据
|
|
|
+ List<StoreInfoVo> collect = storeInfoVoList.stream()
|
|
|
+ .filter(record -> StringUtils.isNotEmpty(record.getStoreType()))
|
|
|
+ .collect(Collectors.toList());
|
|
|
+ Set<String> allTypes = collect.stream()
|
|
|
+ .map(StoreInfoVo::getStoreType)
|
|
|
+ .flatMap(type -> Arrays.stream(type.split(",")))
|
|
|
+ .collect(Collectors.toSet());
|
|
|
+
|
|
|
+ List<StoreDictionary> storeDictionaries = storeDictionaryMapper.selectList(
|
|
|
+ new LambdaQueryWrapper<StoreDictionary>()
|
|
|
+ .eq(StoreDictionary::getTypeName, "storeType")
|
|
|
+ .isNull(StoreDictionary::getParentId)
|
|
|
+ .in(!allTypes.isEmpty(), StoreDictionary::getDictId, allTypes));
|
|
|
+ Map<String, String> typeMap = storeDictionaries.stream()
|
|
|
+ .collect(Collectors.toMap(StoreDictionary::getDictId, StoreDictionary::getDictDetail));
|
|
|
+
|
|
|
+ // 计算平均分和评价
|
|
|
+ Map<String, List<Map<String, Object>>> avgScoreMap = new HashMap<>();
|
|
|
+ Map<Integer, List<StoreComment>> commentMap = new HashMap<>();
|
|
|
+
|
|
|
+ avgScoreMap = storeEvaluationMapper.allStoreAvgScore().stream()
|
|
|
+ .collect(Collectors.groupingBy(o -> o.get("store_id").toString()));
|
|
|
+ commentMap = storeCommentMapper.selectList(
|
|
|
+ new QueryWrapper<StoreComment>()
|
|
|
+ .eq("business_type", "5")
|
|
|
+ .eq("delete_flag", 0))
|
|
|
+ .stream()
|
|
|
+ .collect(Collectors.groupingBy(StoreComment::getStoreId));
|
|
|
+
|
|
|
+ for (StoreInfoVo record : storeInfoVoList) {
|
|
|
+ // 处理类型
|
|
|
+ if (StringUtils.isNotEmpty(record.getStoreType())) {
|
|
|
+ String[] types = record.getStoreType().split(",");
|
|
|
+ List<String> typeDetails = Arrays.stream(types)
|
|
|
+ .map(typeMap::get)
|
|
|
+ .filter(Objects::nonNull)
|
|
|
+ .collect(Collectors.toList());
|
|
|
+ record.setStoreTypeStr(String.join(",", typeDetails));
|
|
|
+ record.setStoreTypeList(Arrays.asList(types));
|
|
|
+ }
|
|
|
+
|
|
|
+ // 处理经纬度
|
|
|
+ if (StringUtils.isNotEmpty(record.getStorePosition())) {
|
|
|
+ String[] split = record.getStorePosition().split(",");
|
|
|
+ if (split.length >= 2) {
|
|
|
+ record.setStorePositionLongitude(split[0]);
|
|
|
+ record.setStorePositionLatitude(split[1]);
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 如果提供了经纬度，处理距离信息
|
|
|
+ if (lon != null && lat != null && StringUtils.isNotEmpty(record.getStorePosition())) {
|
|
|
+ try {
|
|
|
+ // 手动计算距离（单位：公里）
|
|
|
+ String[] positionArray = record.getStorePosition().split(",");
|
|
|
+ if (positionArray.length >= 2) {
|
|
|
+ double storeLon = Double.parseDouble(positionArray[0].trim());
|
|
|
+ double storeLat = Double.parseDouble(positionArray[1].trim());
|
|
|
+ // 计算距离（单位：公里）
|
|
|
+ double distanceKm = DistanceUtil.haversineCalculateDistance(lon, lat, storeLon, storeLat);
|
|
|
+ record.setDistance(distanceKm);
|
|
|
+ }
|
|
|
+ } catch (Exception e) {
|
|
|
+ log.warn("计算店铺距离失败，storeId={}，error={}", record.getId(), e.getMessage());
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 处理到期状态
|
|
|
+ Date expirationTime = record.getExpirationTime();
|
|
|
+ if (expirationTime != null) {
|
|
|
+ Date currentDate = new Date();
|
|
|
+ Calendar now = Calendar.getInstance();
|
|
|
+ Date nowCurrentDate = now.getTime();
|
|
|
+ now.add(Calendar.DAY_OF_YEAR, 30);
|
|
|
+ Date thirtyDaysLater = now.getTime();
|
|
|
+
|
|
|
+ if (expirationTime.after(currentDate)) {
|
|
|
+ record.setExpiredState("0");
|
|
|
+ if ((expirationTime.after(nowCurrentDate) || expirationTime.equals(nowCurrentDate))
|
|
|
+ && expirationTime.before(thirtyDaysLater)) {
|
|
|
+ record.setExpiredState("1");
|
|
|
+ }
|
|
|
+ } else {
|
|
|
+ record.setExpiredState("2");
|
|
|
+ }
|
|
|
+
|
|
|
+ LocalDate nowLocal = LocalDate.now();
|
|
|
+ LocalDate expDate = expirationTime.toInstant()
|
|
|
+ .atZone(ZoneId.systemDefault())
|
|
|
+ .toLocalDate();
|
|
|
+ long daysToExpire = ChronoUnit.DAYS.between(nowLocal, expDate);
|
|
|
+ record.setDaysToExpire(daysToExpire);
|
|
|
+ }
|
|
|
+
|
|
|
+ // 设置店铺得分和总评论数
|
|
|
+ if (avgScoreMap.containsKey(String.valueOf(record.getId()))) {
|
|
|
+ record.setAvgScore(String.valueOf(
|
|
|
+ avgScoreMap.get(String.valueOf(record.getId())).get(0).get("avg_score")));
|
|
|
+ }
|
|
|
+ if (commentMap.containsKey(record.getId())) {
|
|
|
+ record.setTotalNum(String.valueOf(commentMap.get(record.getId()).size()));
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ return storeInfoVoList;
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+ /**
|
|
|
+ * 构建树形结构（优化版）
|
|
|
+ *
|
|
|
+ * @param flatList 扁平列表
|
|
|
+ * @return 树形结构列表
|
|
|
+ */
|
|
|
+ private List<StoreDictionary> buildTreeOptimized(List<StoreDictionary> flatList) {
|
|
|
+ if (flatList == null || flatList.isEmpty()) {
|
|
|
+ return new ArrayList<>();
|
|
|
+ }
|
|
|
+
|
|
|
+ // 创建三个存储结构
|
|
|
+ Map<Integer, StoreDictionary> nodeMap = new HashMap<>(); // ID到节点的映射
|
|
|
+ Map<Integer, List<StoreDictionary>> parentChildMap = new HashMap<>(); // 父ID到子节点列表的映射
|
|
|
+ List<StoreDictionary> result = new ArrayList<>(); // 结果列表
|
|
|
+
|
|
|
+ // 填充nodeMap和parentChildMap
|
|
|
+ for (StoreDictionary entity : flatList) {
|
|
|
+ Integer id = entity.getId();
|
|
|
+ Integer parentId = entity.getParentId();
|
|
|
+
|
|
|
+ // 存入节点映射
|
|
|
+ nodeMap.put(id, entity);
|
|
|
+
|
|
|
+ // 初始化子节点列表
|
|
|
+ entity.setStoreDictionaryList(new ArrayList<>());
|
|
|
+
|
|
|
+ // 如果是根节点（parentId为null或0），直接添加到结果
|
|
|
+ if (parentId == null || parentId == 0) {
|
|
|
+ result.add(entity);
|
|
|
+ } else {
|
|
|
+ // 否则，记录父子关系
|
|
|
+ parentChildMap.computeIfAbsent(parentId, k -> new ArrayList<>()).add(entity);
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 建立父子关系
|
|
|
+ for (StoreDictionary entity : flatList) {
|
|
|
+ Integer id = entity.getId();
|
|
|
+ if (parentChildMap.containsKey(id)) {
|
|
|
+ entity.getStoreDictionaryList().addAll(parentChildMap.get(id));
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ return result;
|
|
|
+ }
|
|
|
+
|
|
|
+ @Override
|
|
|
+ public List<StoreDictionaryVo> getLeisureEntertainmentCategories() {
|
|
|
+ // 定义四种主分类名称
|
|
|
+ List<String> mainCategoryNames = Arrays.asList("酒吧", "KTV", "洗浴汗蒸", "按摩足疗");
|
|
|
+
|
|
|
+ // 查询所有主分类（business_section类型）
|
|
|
+ List<StoreDictionary> allMainCategories = storeDictionaryMapper.selectList(
|
|
|
+ new LambdaQueryWrapper<StoreDictionary>()
|
|
|
+ .eq(StoreDictionary::getTypeName, "business_section")
|
|
|
+ .in(StoreDictionary::getDictDetail, mainCategoryNames)
|
|
|
+ .eq(StoreDictionary::getDeleteFlag, 0)
|
|
|
+ );
|
|
|
+
|
|
|
+ // 构建主分类列表，包含"全部"选项
|
|
|
+ List<StoreDictionaryVo> result = new ArrayList<>();
|
|
|
+
|
|
|
+ // 添加"全部"选项
|
|
|
+ StoreDictionaryVo allCategory = new StoreDictionaryVo();
|
|
|
+ allCategory.setId(0);
|
|
|
+ allCategory.setDictId("0");
|
|
|
+ allCategory.setDictDetail("全部");
|
|
|
+ allCategory.setTypeName("business_section");
|
|
|
+ allCategory.setSubDataList(new ArrayList<>());
|
|
|
+ result.add(allCategory);
|
|
|
+
|
|
|
+ // 查询所有子分类（根据parent_id关联）
|
|
|
+ Map<Integer, List<StoreDictionary>> subCategoryMap = new HashMap<>();
|
|
|
+ if (!CollectionUtils.isEmpty(allMainCategories)) {
|
|
|
+ List<Integer> mainCategoryIds = allMainCategories.stream()
|
|
|
+ .map(StoreDictionary::getId)
|
|
|
+ .collect(Collectors.toList());
|
|
|
+
|
|
|
+ // 查询所有子分类
|
|
|
+ List<StoreDictionary> allSubCategories = storeDictionaryMapper.selectList(
|
|
|
+ new LambdaQueryWrapper<StoreDictionary>()
|
|
|
+ .in(StoreDictionary::getParentId, mainCategoryIds)
|
|
|
+ .eq(StoreDictionary::getDeleteFlag, 0)
|
|
|
+ .in(StoreDictionary::getTypeName, "business_section","business_type","business_classify")
|
|
|
+ );
|
|
|
+
|
|
|
+ // 按parentId分组
|
|
|
+ subCategoryMap = allSubCategories.stream()
|
|
|
+ .collect(Collectors.groupingBy(StoreDictionary::getParentId));
|
|
|
+ }
|
|
|
+
|
|
|
+ // 构建主分类及其子分类
|
|
|
+ for (StoreDictionary mainCategory : allMainCategories) {
|
|
|
+ StoreDictionaryVo mainVo = new StoreDictionaryVo();
|
|
|
+ BeanUtils.copyProperties(mainCategory, mainVo);
|
|
|
+
|
|
|
+ // 获取该主分类下的子分类
|
|
|
+ List<StoreDictionary> subCategories = subCategoryMap.getOrDefault(mainCategory.getId(), new ArrayList<>());
|
|
|
+ List<StoreDictionaryVo> subVoList = new ArrayList<>();
|
|
|
+
|
|
|
+ for (StoreDictionary subCategory : subCategories) {
|
|
|
+ StoreDictionaryVo subVo = new StoreDictionaryVo();
|
|
|
+ BeanUtils.copyProperties(subCategory, subVo);
|
|
|
+ subVoList.add(subVo);
|
|
|
+ }
|
|
|
+
|
|
|
+ mainVo.setSubDataList(subVoList);
|
|
|
+ result.add(mainVo);
|
|
|
+ }
|
|
|
+
|
|
|
+ return result;
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+ @Override
|
|
|
+ public IPage<StoreInfoVo> getSpecialTypeStoresByDistance(Double lon, Double lat, Double distance, Integer sortType, Integer businessType, Integer categoryId, int pageNum, int pageSize) {
|
|
|
+ // 参数校验
|
|
|
+ if (lon == null || lat == null) {
|
|
|
+ throw new IllegalArgumentException("经纬度参数不能为空");
|
|
|
+ }
|
|
|
+
|
|
|
+ // 智能检测：如果参数可能传反了（lat超出范围但lon在范围内），给出提示
|
|
|
+ if (Math.abs(lat) > 90 && Math.abs(lon) <= 90) {
|
|
|
+ throw new IllegalArgumentException(
|
|
|
+ String.format("参数可能传反了！当前值: lon=%s, lat=%s。经度范围: [-180, 180]，纬度范围: [-90, 90]。请检查参数顺序。", lon, lat)
|
|
|
+ );
|
|
|
+ }
|
|
|
+
|
|
|
+ // 校验经纬度范围：经度 [-180, 180]，纬度 [-90, 90]
|
|
|
+ if (lon < -180 || lon > 180) {
|
|
|
+ throw new IllegalArgumentException("经度参数超出有效范围 [-180, 180]，当前值: " + lon);
|
|
|
+ }
|
|
|
+ if (lat < -90 || lat > 90) {
|
|
|
+ throw new IllegalArgumentException("纬度参数超出有效范围 [-90, 90]，当前值: " + lat);
|
|
|
+ }
|
|
|
+ final int finalSortType = (sortType == null || sortType < 1 || sortType > 3) ? 1 : sortType; // 默认智能排序
|
|
|
+ if (pageNum <= 0) {
|
|
|
+ pageNum = 1;
|
|
|
+ }
|
|
|
+ if (pageSize <= 0) {
|
|
|
+ pageSize = 10;
|
|
|
+ }
|
|
|
+
|
|
|
+ // 构建查询条件
|
|
|
+ QueryWrapper<StoreInfoVo> queryWrapper = new QueryWrapper<>();
|
|
|
+
|
|
|
+ // 如果传入了dictId，根据字典id查询经营板块、经营种类、分类并匹配店铺
|
|
|
+ if (categoryId != null) {
|
|
|
+ // 根据categoryId查询字典表记录
|
|
|
+ StoreDictionary dict = storeDictionaryMapper.selectById(categoryId);
|
|
|
+ if (dict == null || dict.getDeleteFlag() == 1) {
|
|
|
+ throw new IllegalArgumentException("字典id不存在或已删除: " + categoryId);
|
|
|
+ }
|
|
|
+
|
|
|
+ String typeName = dict.getTypeName();
|
|
|
+ String dictIdStr =dict.getDictId();
|
|
|
+
|
|
|
+ if ("business_section".equals(typeName)) {
|
|
|
+ // 如果是经营板块，直接匹配business_section
|
|
|
+ try {
|
|
|
+ Integer sectionId = Integer.parseInt(dictIdStr);
|
|
|
+ queryWrapper.eq("a.business_section", sectionId);
|
|
|
+ } catch (NumberFormatException e) {
|
|
|
+ throw new IllegalArgumentException("经营板块dictId格式错误: " + dictIdStr);
|
|
|
+ }
|
|
|
+ } else if ("business_type".equals(typeName)) {
|
|
|
+ // 如果是经营种类，需要：
|
|
|
+ // 1. 向上查找父级（经营板块）
|
|
|
+ // 2. 匹配business_section和business_types
|
|
|
+ StoreDictionary parentDict = storeDictionaryMapper.selectById(dict.getParentId());
|
|
|
+ if (parentDict == null || !"business_section".equals(parentDict.getTypeName())) {
|
|
|
+ throw new IllegalArgumentException("经营种类的父级不是经营板块，categoryId: " + categoryId);
|
|
|
+ }
|
|
|
+
|
|
|
+ try {
|
|
|
+ Integer sectionId = Integer.parseInt(parentDict.getDictId());
|
|
|
+ queryWrapper.eq("a.business_section", sectionId);
|
|
|
+ // 使用FIND_IN_SET匹配business_types字段（逗号分隔）
|
|
|
+ queryWrapper.apply("FIND_IN_SET({0}, a.business_types) > 0", dictIdStr);
|
|
|
+ } catch (NumberFormatException e) {
|
|
|
+ throw new IllegalArgumentException("经营板块或经营种类dictId格式错误");
|
|
|
+ }
|
|
|
+ } else if ("business_classify".equals(typeName)) {
|
|
|
+ // 如果是分类，需要：
|
|
|
+ // 1. 向上查找父级（经营种类）
|
|
|
+ // 2. 向上查找祖父级（经营板块）
|
|
|
+ // 3. 匹配business_section、business_types和business_classify
|
|
|
+ StoreDictionary parentDict = storeDictionaryMapper.selectById(dict.getParentId());
|
|
|
+ if (parentDict == null || !"business_type".equals(parentDict.getTypeName())) {
|
|
|
+ throw new IllegalArgumentException("分类的父级不是经营种类，categoryId: " + categoryId);
|
|
|
+ }
|
|
|
+
|
|
|
+ StoreDictionary grandParentDict = storeDictionaryMapper.selectById(parentDict.getParentId());
|
|
|
+ if (grandParentDict == null || !"business_section".equals(grandParentDict.getTypeName())) {
|
|
|
+ throw new IllegalArgumentException("经营种类的父级不是经营板块，categoryId: " + categoryId);
|
|
|
+ }
|
|
|
+
|
|
|
+ try {
|
|
|
+ Integer sectionId = Integer.parseInt(grandParentDict.getDictId());
|
|
|
+ queryWrapper.eq("a.business_section", sectionId);
|
|
|
+ // 使用FIND_IN_SET匹配business_types字段
|
|
|
+ queryWrapper.apply("FIND_IN_SET({0}, a.business_types) > 0", parentDict.getDictId());
|
|
|
+ // 使用FIND_IN_SET匹配business_classify字段
|
|
|
+ queryWrapper.apply("FIND_IN_SET({0}, a.business_classify) > 0", dictIdStr);
|
|
|
+ } catch (NumberFormatException e) {
|
|
|
+ throw new IllegalArgumentException("经营板块、经营种类或分类dictId格式错误");
|
|
|
+ }
|
|
|
+ } else {
|
|
|
+ throw new IllegalArgumentException("不支持的字典类型: " + typeName + ", categoryId: " + categoryId);
|
|
|
+ }
|
|
|
+ } else if (businessType != null) {
|
|
|
+ // 如果指定了businessType，则根据传入的数值进行筛选
|
|
|
+ // 直接使用传入的数值作为business_section进行筛选
|
|
|
+ // KTV=3、洗浴汗蒸=4、按摩足浴=5，酒吧的数值未知（由调用方传入）
|
|
|
+ queryWrapper.eq("a.business_section", businessType);
|
|
|
+ } else {
|
|
|
+ // 如果没有指定businessType，则查询所有四种类型的店铺
|
|
|
+ // 需要查询字典表获取所有四种类型的dictId
|
|
|
+ List<String> storeTypeNames = Arrays.asList("酒吧", "KTV", "洗浴汗蒸", "按摩足疗");
|
|
|
+ List<StoreDictionary> storeDictionaries = storeDictionaryMapper.selectList(
|
|
|
+ new LambdaQueryWrapper<StoreDictionary>()
|
|
|
+ .eq(StoreDictionary::getTypeName, "business_section")
|
|
|
+ .in(StoreDictionary::getDictDetail, storeTypeNames)
|
|
|
+ .eq(StoreDictionary::getDeleteFlag, 0)
|
|
|
+ );
|
|
|
+
|
|
|
+ List<Integer> businessSectionIds = storeDictionaries.stream()
|
|
|
+ .filter(d -> StringUtils.isNotEmpty(d.getDictId()))
|
|
|
+ .map(StoreDictionary::getDictId)
|
|
|
+ .map(dictIdStr -> {
|
|
|
+ try {
|
|
|
+ return Integer.parseInt(dictIdStr);
|
|
|
+ } catch (NumberFormatException e) {
|
|
|
+ return null;
|
|
|
+ }
|
|
|
+ })
|
|
|
+ .filter(Objects::nonNull)
|
|
|
+ .collect(Collectors.toList());
|
|
|
+
|
|
|
+ // 使用business_section字段进行筛选
|
|
|
+ queryWrapper.in("a.business_section", businessSectionIds);
|
|
|
+ }
|
|
|
+
|
|
|
+ // 过滤已删除的门店
|
|
|
+ queryWrapper.eq("a.delete_flag", 0);
|
|
|
+ // 过滤注销的门店
|
|
|
+ queryWrapper.eq("a.logout_flag", 0);
|
|
|
+ // 过滤禁用的门店
|
|
|
+ queryWrapper.ne("a.store_status", 0);
|
|
|
+ // 过滤永久关门的店铺
|
|
|
+ queryWrapper.ne("a.business_status", 99);
|
|
|
+ // 过滤过期的经营许可证
|
|
|
+ queryWrapper.ge("a.entertainment_licence_expiration_time", new Date());
|
|
|
+
|
|
|
+ // 距离优先模式：只显示10公里内且3.5星以上的店铺
|
|
|
+ final Double finalDistance;
|
|
|
+ if (finalSortType == 3) {
|
|
|
+ queryWrapper.ge("a.score_avg", 3.5);
|
|
|
+ if (distance == null || distance <= 0) {
|
|
|
+ finalDistance = 10.0; // 默认10公里
|
|
|
+ } else if (distance > 10) {
|
|
|
+ finalDistance = 10.0; // 距离优先最多10公里
|
|
|
+ } else {
|
|
|
+ finalDistance = distance;
|
|
|
+ }
|
|
|
+ } else {
|
|
|
+ finalDistance = distance;
|
|
|
+ }
|
|
|
+
|
|
|
+ // 先按距离排序获取所有数据（用于计算距离）
|
|
|
+ queryWrapper.orderByAsc("dist");
|
|
|
+
|
|
|
+ // 创建分页对象（先获取更多数据用于排序计算）
|
|
|
+ IPage<StoreInfoVo> page = new Page<>(1, 1000); // 先获取足够多的数据
|
|
|
+ IPage<StoreInfoVo> storeInfoIPage = storeInfoMapper.getPageForDistance(page, lon + "," + lat, queryWrapper);
|
|
|
+ List<StoreInfoVo> storeInfoVoList = storeInfoIPage.getRecords();
|
|
|
+
|
|
|
+ // 如果指定了距离范围，进行距离筛选
|
|
|
+ if (finalDistance != null && finalDistance > 0) {
|
|
|
+ storeInfoVoList = storeInfoVoList.stream()
|
|
|
+ .filter(store -> {
|
|
|
+ String distStr = store.getDist();
|
|
|
+ if (distStr == null || distStr.isEmpty()) {
|
|
|
+ return false;
|
|
|
+ }
|
|
|
+ try {
|
|
|
+ double storeDistance = Double.parseDouble(distStr);
|
|
|
+ return storeDistance <= finalDistance;
|
|
|
+ } catch (NumberFormatException e) {
|
|
|
+ return false;
|
|
|
+ }
|
|
|
+ })
|
|
|
+ .collect(Collectors.toList());
|
|
|
+ }
|
|
|
+
|
|
|
+ // 计算时间范围
|
|
|
+ LocalDateTime now = LocalDateTime.now();
|
|
|
+ LocalDateTime sevenDaysAgo = now.minusDays(7);
|
|
|
+ LocalDateTime thirtyDaysAgo = now.minusDays(30);
|
|
|
+ DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
|
|
|
+ String sevenDaysAgoStr = sevenDaysAgo.format(formatter);
|
|
|
+ String thirtyDaysAgoStr = thirtyDaysAgo.format(formatter);
|
|
|
+
|
|
|
+ // 提取所有门店ID
|
|
|
+ List<Integer> storeIds = storeInfoVoList.stream().map(StoreInfoVo::getId).collect(Collectors.toList());
|
|
|
+
|
|
|
+ if (CollectionUtils.isEmpty(storeIds)) {
|
|
|
+ // 如果没有符合条件的店铺，返回空结果
|
|
|
+ IPage<StoreInfoVo> emptyPage = new Page<>(pageNum, pageSize);
|
|
|
+ emptyPage.setRecords(new ArrayList<>());
|
|
|
+ emptyPage.setTotal(0);
|
|
|
+ return emptyPage;
|
|
|
+ }
|
|
|
+
|
|
|
+ // 查询近7天销量（订单数）
|
|
|
+ Map<Integer, Long> sales7DaysMap = new HashMap<>();
|
|
|
+ if (finalSortType == 1) { // 智能排序需要销量数据
|
|
|
+ LambdaQueryWrapper<LifeUserOrder> orderWrapper = new LambdaQueryWrapper<>();
|
|
|
+ orderWrapper.in(LifeUserOrder::getStoreId, storeIds)
|
|
|
+ .and(w -> w.and(w1 -> w1.eq(LifeUserOrder::getStatus, 7)
|
|
|
+ .ge(LifeUserOrder::getFinishTime, sevenDaysAgoStr))
|
|
|
+ .or(w2 -> w2.eq(LifeUserOrder::getStatus, 1)
|
|
|
+ .ge(LifeUserOrder::getPayTime, sevenDaysAgoStr)))
|
|
|
+ .eq(LifeUserOrder::getDeleteFlag, 0);
|
|
|
+ List<LifeUserOrder> orders7Days = lifeUserOrderMapper.selectList(orderWrapper);
|
|
|
+ Map<Integer, Long> tempSalesMap = orders7Days.stream()
|
|
|
+ .filter(order -> order.getStoreId() != null)
|
|
|
+ .collect(Collectors.groupingBy(
|
|
|
+ order -> Integer.parseInt(order.getStoreId()),
|
|
|
+ Collectors.counting()));
|
|
|
+ sales7DaysMap.putAll(tempSalesMap);
|
|
|
+ }
|
|
|
+
|
|
|
+ // 查询近30天好评数（score >= 4.5）
|
|
|
+ Map<Integer, Long> goodComment30DaysMap = new HashMap<>();
|
|
|
+ // 查询近7天评论数
|
|
|
+ Map<Integer, Long> comment7DaysMap = new HashMap<>();
|
|
|
+ // 查询总评论数
|
|
|
+ Map<Integer, Long> totalCommentMap = new HashMap<>();
|
|
|
+
|
|
|
+ if (finalSortType == 2) { // 好评优先需要评论数据
|
|
|
+ // 近30天好评数
|
|
|
+ LambdaQueryWrapper<StoreComment> goodCommentWrapper = new LambdaQueryWrapper<>();
|
|
|
+ goodCommentWrapper.in(StoreComment::getStoreId, storeIds)
|
|
|
+ .eq(StoreComment::getBusinessType, 5)
|
|
|
+ .eq(StoreComment::getDeleteFlag, 0)
|
|
|
+ .isNull(StoreComment::getReplyId)
|
|
|
+ .ge(StoreComment::getScore, 4.5)
|
|
|
+ .ge(StoreComment::getCreatedTime, thirtyDaysAgoStr);
|
|
|
+ List<StoreComment> goodComments30Days = storeCommentMapper.selectList(goodCommentWrapper);
|
|
|
+ Map<Integer, Long> tempGoodCommentMap = goodComments30Days.stream()
|
|
|
+ .collect(Collectors.groupingBy(StoreComment::getStoreId, Collectors.counting()));
|
|
|
+ goodComment30DaysMap.putAll(tempGoodCommentMap);
|
|
|
+
|
|
|
+ // 近7天评论数
|
|
|
+ LambdaQueryWrapper<StoreComment> comment7DaysWrapper = new LambdaQueryWrapper<>();
|
|
|
+ comment7DaysWrapper.in(StoreComment::getStoreId, storeIds)
|
|
|
+ .eq(StoreComment::getBusinessType, 5)
|
|
|
+ .eq(StoreComment::getDeleteFlag, 0)
|
|
|
+ .isNull(StoreComment::getReplyId)
|
|
|
+ .ge(StoreComment::getCreatedTime, sevenDaysAgoStr);
|
|
|
+ List<StoreComment> comments7Days = storeCommentMapper.selectList(comment7DaysWrapper);
|
|
|
+ Map<Integer, Long> tempComment7DaysMap = comments7Days.stream()
|
|
|
+ .collect(Collectors.groupingBy(StoreComment::getStoreId, Collectors.counting()));
|
|
|
+ comment7DaysMap.putAll(tempComment7DaysMap);
|
|
|
+
|
|
|
+ // 总评论数
|
|
|
+ LambdaQueryWrapper<StoreComment> totalCommentWrapper = new LambdaQueryWrapper<>();
|
|
|
+ totalCommentWrapper.in(StoreComment::getStoreId, storeIds)
|
|
|
+ .eq(StoreComment::getBusinessType, 5)
|
|
|
+ .eq(StoreComment::getDeleteFlag, 0)
|
|
|
+ .isNull(StoreComment::getReplyId);
|
|
|
+ List<StoreComment> totalComments = storeCommentMapper.selectList(totalCommentWrapper);
|
|
|
+ Map<Integer, Long> tempTotalCommentMap = totalComments.stream()
|
|
|
+ .collect(Collectors.groupingBy(StoreComment::getStoreId, Collectors.counting()));
|
|
|
+ totalCommentMap.putAll(tempTotalCommentMap);
|
|
|
+ }
|
|
|
+
|
|
|
+ // 获取全部店铺的评分
|
|
|
+ Map<String, List<Map<String, Object>>> avgScoreMap = storeEvaluationMapper.allStoreAvgScore().stream()
|
|
|
+ .collect(Collectors.groupingBy(o -> o.get("store_id").toString()));
|
|
|
+ Map<String, List<Map<String, Object>>> avgPriceMap = lifeUserOrderMapper.allStoreAvgPrice().stream()
|
|
|
+ .collect(Collectors.groupingBy(o -> o.get("store_id").toString()));
|
|
|
+
|
|
|
+ // 计算综合得分并排序
|
|
|
+ List<StoreInfoVo> sortedList = storeInfoVoList.stream()
|
|
|
+ .map(store -> {
|
|
|
+ // 获取基础评分（score_avg × 2，标准化为0-10分）
|
|
|
+ Double scoreAvg = store.getScoreAvg() != null ? store.getScoreAvg() : 0.0;
|
|
|
+ double baseScore = Math.min(scoreAvg * 2, 10.0); // 基础评分，最高10分
|
|
|
+
|
|
|
+ // 获取距离
|
|
|
+ double storeDistance = 999999;
|
|
|
+ try {
|
|
|
+ String distStr = store.getDist();
|
|
|
+ if (distStr != null && !distStr.isEmpty()) {
|
|
|
+ storeDistance = Double.parseDouble(distStr);
|
|
|
+ }
|
|
|
+ } catch (NumberFormatException e) {
|
|
|
+ // 忽略
|
|
|
+ }
|
|
|
+
|
|
|
+ double finalScore = 0.0;
|
|
|
+
|
|
|
+ if (finalSortType == 1) {
|
|
|
+ // 智能排序：综合评分×50% + 近7天销量×30% + 距离得分×20%
|
|
|
+ // 综合评分（基础评分）
|
|
|
+ double scorePart = baseScore * 0.5;
|
|
|
+
|
|
|
+ // 近7天销量（需要标准化，假设最大销量为100）
|
|
|
+ long sales7Days = sales7DaysMap.getOrDefault(store.getId(), 0L);
|
|
|
+ double salesScore = Math.min(sales7Days / 100.0 * 10, 10.0); // 标准化到0-10
|
|
|
+ double salesPart = salesScore * 0.3;
|
|
|
+
|
|
|
+ // 距离得分（距离越近得分越高，10公里内计算）
|
|
|
+ double distanceScore = storeDistance <= 10 ? (10 - storeDistance) / 10.0 * 10 : 0;
|
|
|
+ double distancePart = distanceScore * 0.2;
|
|
|
+
|
|
|
+ finalScore = scorePart + salesPart + distancePart;
|
|
|
+ } else if (finalSortType == 2) {
|
|
|
+ // 好评优先：综合评分×50% + 近30天好评数×35% + 近7天新评占比×15%
|
|
|
+ double scorePart = baseScore * 0.5;
|
|
|
+
|
|
|
+ // 近30天好评数（需要标准化，假设最大好评数为50）
|
|
|
+ long goodComment30Days = goodComment30DaysMap.getOrDefault(store.getId(), 0L);
|
|
|
+ double goodCommentScore = Math.min(goodComment30Days / 50.0 * 10, 10.0);
|
|
|
+ double goodCommentPart = goodCommentScore * 0.35;
|
|
|
+
|
|
|
+ // 近7天新评占比
|
|
|
+ long comment7Days = comment7DaysMap.getOrDefault(store.getId(), 0L);
|
|
|
+ long totalComment = totalCommentMap.getOrDefault(store.getId(), 1L); // 避免除0
|
|
|
+ double newCommentRatio = (double) comment7Days / totalComment;
|
|
|
+ double newCommentPart = newCommentRatio * 10 * 0.15; // 占比转换为0-10分
|
|
|
+
|
|
|
+ finalScore = scorePart + goodCommentPart + newCommentPart;
|
|
|
+ } else if (finalSortType == 3) {
|
|
|
+ // 距离优先：距离得分 = (10 - 实际距离) × 80% + 基础评分 × 20%（10公里内计算）
|
|
|
+ if (storeDistance <= 10) {
|
|
|
+ double distanceScore = (10 - storeDistance) / 10.0 * 10; // 标准化到0-10
|
|
|
+ double distancePart = distanceScore * 0.8;
|
|
|
+ double scorePart = baseScore * 0.2;
|
|
|
+ finalScore = distancePart + scorePart;
|
|
|
+ } else {
|
|
|
+ finalScore = -1; // 超出范围，不展示
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 设置综合得分（用于排序）
|
|
|
+ store.setDistance(storeDistance);
|
|
|
+ // 使用反射或扩展字段存储finalScore，这里我们使用一个临时字段
|
|
|
+ // 由于StoreInfoVo没有finalScore字段，我们使用distance字段临时存储，排序后再恢复
|
|
|
+ return new Object[] { store, finalScore };
|
|
|
+ })
|
|
|
+ .filter(item -> {
|
|
|
+ // 距离优先模式：过滤掉超出范围的
|
|
|
+ if (finalSortType == 3) {
|
|
|
+ return ((Double) item[1]) >= 0;
|
|
|
+ }
|
|
|
+ return true;
|
|
|
+ })
|
|
|
+ .sorted((a, b) -> Double.compare((Double) b[1], (Double) a[1])) // 按得分降序
|
|
|
+ .map(item -> (StoreInfoVo) item[0])
|
|
|
+ .collect(Collectors.toList());
|
|
|
+
|
|
|
+ // 分页处理
|
|
|
+ long total = sortedList.size();
|
|
|
+ int start = (pageNum - 1) * pageSize;
|
|
|
+ int end = Math.min(start + pageSize, sortedList.size());
|
|
|
+ List<StoreInfoVo> pagedList;
|
|
|
+ if (start < sortedList.size()) {
|
|
|
+ pagedList = sortedList.subList(start, end);
|
|
|
+ } else {
|
|
|
+ pagedList = new ArrayList<>();
|
|
|
+ }
|
|
|
+
|
|
|
+ // 查询每个店铺的最新代金券（只显示一个，最新创建的）
|
|
|
+ Map<Integer, LifeCoupon> latestCouponMap = new HashMap<>();
|
|
|
+ if (!CollectionUtils.isEmpty(pagedList)) {
|
|
|
+ List<Integer> pagedStoreIds = pagedList.stream().map(StoreInfoVo::getId).collect(Collectors.toList());
|
|
|
+ // 查询所有店铺的代金券，按创建时间降序
|
|
|
+ LambdaQueryWrapper<LifeCoupon> couponWrapper = new LambdaQueryWrapper<>();
|
|
|
+ couponWrapper.in(LifeCoupon::getStoreId, pagedStoreIds.stream().map(String::valueOf).collect(Collectors.toList()))
|
|
|
+ .eq(LifeCoupon::getStatus, CouponStatusEnum.ONGOING.getCode())
|
|
|
+ .eq(LifeCoupon::getType, 1) // 代金券类型
|
|
|
+ .eq(LifeCoupon::getDeleteFlag, 0)
|
|
|
+ .orderByDesc(LifeCoupon::getCreatedTime);
|
|
|
+ List<LifeCoupon> allCoupons = lifeCouponMapper.selectList(couponWrapper);
|
|
|
+
|
|
|
+ // 为每个店铺只保留最新创建的一个代金券
|
|
|
+ for (LifeCoupon coupon : allCoupons) {
|
|
|
+ if (coupon.getStoreId() != null) {
|
|
|
+ try {
|
|
|
+ Integer storeId = Integer.parseInt(coupon.getStoreId());
|
|
|
+ // 如果该店铺还没有代金券，或者当前代金券更新，则更新
|
|
|
+ if (!latestCouponMap.containsKey(storeId)) {
|
|
|
+ latestCouponMap.put(storeId, coupon);
|
|
|
+ }
|
|
|
+ } catch (NumberFormatException e) {
|
|
|
+ // 忽略无效的storeId
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 设置评分、平均消费和代金券
|
|
|
+ for (StoreInfoVo store : pagedList) {
|
|
|
+ if (avgScoreMap.containsKey(String.valueOf(store.getId()))) {
|
|
|
+ store.setAvgScore(new BigDecimal(avgScoreMap.get(String.valueOf(store.getId())).get(0).get("avg_score").toString())
|
|
|
+ .setScale(1, RoundingMode.HALF_UP).toString());
|
|
|
+ store.setTotalNum(avgScoreMap.get(String.valueOf(store.getId())).get(0).get("total_num").toString());
|
|
|
+ } else {
|
|
|
+ store.setAvgScore("0");
|
|
|
+ store.setTotalNum("0");
|
|
|
+ }
|
|
|
+
|
|
|
+ if (avgPriceMap.containsKey(String.valueOf(store.getId()))) {
|
|
|
+ store.setAvgPrice(avgPriceMap.get(String.valueOf(store.getId())).get(0).get("avg_price").toString());
|
|
|
+ } else {
|
|
|
+ store.setAvgPrice("0");
|
|
|
+ }
|
|
|
+
|
|
|
+ // 设置最新代金券（只显示一个）
|
|
|
+ if (latestCouponMap.containsKey(store.getId())) {
|
|
|
+ LifeCoupon latestCoupon = latestCouponMap.get(store.getId());
|
|
|
+ LifeCouponVo couponVo = new LifeCouponVo();
|
|
|
+ BeanUtils.copyProperties(latestCoupon, couponVo);
|
|
|
+ // 只设置一个代金券到列表中
|
|
|
+ List<LifeCouponVo> couponList = new ArrayList<>();
|
|
|
+ couponList.add(couponVo);
|
|
|
+ store.setCouponList(couponList);
|
|
|
+ } else {
|
|
|
+ // 如果没有代金券，设置为空列表
|
|
|
+ store.setCouponList(new ArrayList<>());
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 创建分页对象
|
|
|
+ IPage<StoreInfoVo> resultPage = new Page<>(pageNum, pageSize);
|
|
|
+ resultPage.setRecords(pagedList);
|
|
|
+ resultPage.setTotal(total);
|
|
|
+ resultPage.setCurrent(pageNum);
|
|
|
+ resultPage.setSize(pageSize);
|
|
|
+ resultPage.setPages((total + pageSize - 1) / pageSize);
|
|
|
+
|
|
|
+ return resultPage;
|
|
|
+ }
|
|
|
+
|
|
|
+ @Override
|
|
|
+ public List<StoreDictionary> getAllBusinessSection() {
|
|
|
+ // 查询所有经营种类数据
|
|
|
+ LambdaQueryWrapper<StoreDictionary> queryWrapper = new LambdaQueryWrapper<>();
|
|
|
+ queryWrapper.in(StoreDictionary::getTypeName, "business_section","business_type","business_classify");
|
|
|
+ queryWrapper.eq(StoreDictionary::getDeleteFlag, 0);
|
|
|
+ queryWrapper.orderByAsc(StoreDictionary::getSortId);
|
|
|
+ List<StoreDictionary> storeDictionaryList = storeDictionaryMapper.selectList(queryWrapper);
|
|
|
+
|
|
|
+ // 构建三级树形结构
|
|
|
+ return buildTreeOptimized(storeDictionaryList);
|
|
|
+ }
|
|
|
+
|
|
|
+ @Override
|
|
|
+ public List<StoreDictionary> getAllBusinessSection(String businessSection) {
|
|
|
+ // 如果没有传入一级分类参数，返回所有分类
|
|
|
+ if (businessSection == null || businessSection.trim().isEmpty()) {
|
|
|
+ return getAllBusinessSection();
|
|
|
+ }
|
|
|
+
|
|
|
+ // 1. 根据dictId查询一级分类
|
|
|
+ StoreDictionary firstLevelDict = storeDictionaryMapper.selectOne(
|
|
|
+ new LambdaQueryWrapper<StoreDictionary>()
|
|
|
+ .eq(StoreDictionary::getDictId, businessSection.trim())
|
|
|
+ .eq(StoreDictionary::getTypeName, "business_section")
|
|
|
+ .eq(StoreDictionary::getDeleteFlag, 0)
|
|
|
+ );
|
|
|
+
|
|
|
+ if (firstLevelDict == null) {
|
|
|
+ log.warn("未找到一级分类，businessSection={}", businessSection);
|
|
|
+ return new ArrayList<>();
|
|
|
+ }
|
|
|
+
|
|
|
+ // 2. 查询该一级分类下的所有二级分类（business_type）
|
|
|
+ List<StoreDictionary> secondLevelDicts = storeDictionaryMapper.selectList(
|
|
|
+ new LambdaQueryWrapper<StoreDictionary>()
|
|
|
+ .eq(StoreDictionary::getTypeName, "business_type")
|
|
|
+ .eq(StoreDictionary::getParentId, firstLevelDict.getId())
|
|
|
+ .eq(StoreDictionary::getDeleteFlag, 0)
|
|
|
+ .orderByAsc(StoreDictionary::getSortId)
|
|
|
+ );
|
|
|
+
|
|
|
+ if (secondLevelDicts.isEmpty()) {
|
|
|
+ // 如果没有二级分类，只返回一级分类
|
|
|
+ firstLevelDict.setStoreDictionaryList(new ArrayList<>());
|
|
|
+ return Collections.singletonList(firstLevelDict);
|
|
|
+ }
|
|
|
+
|
|
|
+ // 3. 获取所有二级分类的ID
|
|
|
+ List<Integer> secondLevelIds = secondLevelDicts.stream()
|
|
|
+ .map(StoreDictionary::getId)
|
|
|
+ .collect(Collectors.toList());
|
|
|
+
|
|
|
+ // 4. 查询这些二级分类下的所有三级分类（business_classify）
|
|
|
+ List<StoreDictionary> thirdLevelDicts = storeDictionaryMapper.selectList(
|
|
|
+ new LambdaQueryWrapper<StoreDictionary>()
|
|
|
+ .eq(StoreDictionary::getTypeName, "business_classify")
|
|
|
+ .in(StoreDictionary::getParentId, secondLevelIds)
|
|
|
+ .eq(StoreDictionary::getDeleteFlag, 0)
|
|
|
+ .orderByAsc(StoreDictionary::getSortId)
|
|
|
+ );
|
|
|
+
|
|
|
+ // 5. 构建树形结构
|
|
|
+ // 将一级分类、二级分类、三级分类合并
|
|
|
+ List<StoreDictionary> allDicts = new ArrayList<>();
|
|
|
+ allDicts.add(firstLevelDict);
|
|
|
+ allDicts.addAll(secondLevelDicts);
|
|
|
+ allDicts.addAll(thirdLevelDicts);
|
|
|
+
|
|
|
+ // 构建树形结构
|
|
|
+ return buildTreeOptimized(allDicts);
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
}
|
zhangchen