1 查询展示所有excel表中信息集合

2 查询 按产品编号展示
3查询 根据月份分组查询
4查询根据商家和产品编号客户名分组

zs-manager/src/main/java/com/ruoyi/tjfx/controller/TjfxAnalysisDataController.java

@@ -0,0 +1,108 @@
+package com.ruoyi.tjfx.controller;
+
+import cn.dev33.satoken.annotation.SaIgnore;
+import com.ruoyi.tjfx.entity.TjfxAnalysisDataDTO;
+import com.ruoyi.tjfx.service.TjfxAnalysisDataService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.*;
+
+import java.util.List;
+import java.util.Map;
+
+@SaIgnore
+@Slf4j
+@RestController
+@RequestMapping("/tjfx/analysis-data")
+public class TjfxAnalysisDataController {
+    @Autowired
+    private TjfxAnalysisDataService tjfxAnalysisDataService;
+
+
+    //查看展示所有数据结合
+    @SaIgnore
+    @GetMapping("/product-analysis")
+    public List<Map<String, Object>> getProductAnalysisData(
+        @RequestParam String startDate,
+        @RequestParam String endDate,
+        @RequestParam(required = false) String category
+
+    ) throws Exception {
+        TjfxAnalysisDataDTO tjfxAnalysisDataDTO = new TjfxAnalysisDataDTO();
+        tjfxAnalysisDataDTO.setStartDate(startDate);
+        tjfxAnalysisDataDTO.setEndDate(endDate);
+        tjfxAnalysisDataDTO.setCategory(category);
+
+        return tjfxAnalysisDataService.selectByProductCode(tjfxAnalysisDataDTO);
+    }
+
+
+    //查询数据集合，按产品编号展示
+    @SaIgnore
+    @GetMapping("/filter-options")
+    public Map<String, List<String>> getFilterOptions(
+        @RequestParam String startDate,
+        @RequestParam String endDate,
+        @RequestParam(required = false) String category
+    ) throws Exception {
+        TjfxAnalysisDataDTO tjfxAnalysisDataDTO = new TjfxAnalysisDataDTO();
+        tjfxAnalysisDataDTO.setStartDate(startDate);
+        tjfxAnalysisDataDTO.setEndDate(endDate);
+        tjfxAnalysisDataDTO.setCategory(category);
+
+        return tjfxAnalysisDataService.select(tjfxAnalysisDataDTO);
+    }
+
+    //查看根据月份分组进行查询，可以支持多选值的情况进行查询
+    @SaIgnore
+    @GetMapping("/monthly-analysis")
+    public List<Map<String, Object>> getMonthlyAnalysisData(
+        @RequestParam String startDate,
+        @RequestParam String endDate,
+        @RequestParam(required = false) String categorySpecs,
+        @RequestParam(required = false) String category,
+        @RequestParam(required = false) String productCode,
+        @RequestParam(required = false) String customerName,
+        @RequestParam(required = false) String brand,
+        @RequestParam(required = false) String shopName
+    ) throws Exception {
+        TjfxAnalysisDataDTO tjfxAnalysisDataDTO = new TjfxAnalysisDataDTO();
+        tjfxAnalysisDataDTO.setStartDate(startDate);
+        tjfxAnalysisDataDTO.setEndDate(endDate);
+        tjfxAnalysisDataDTO.setCategorySpecs(categorySpecs);
+        tjfxAnalysisDataDTO.setCategory(category);
+        tjfxAnalysisDataDTO.setProductCode(productCode);
+        tjfxAnalysisDataDTO.setCustomerName(customerName);
+        tjfxAnalysisDataDTO.setBrand(brand);
+        tjfxAnalysisDataDTO.setShopName(shopName);
+        return tjfxAnalysisDataService.selectMonth(tjfxAnalysisDataDTO);
+    }
+
+
+  //查看，按品牌，客户名称，产品编号分组查询对应的所有分类规格
+    @SaIgnore
+    @GetMapping("/comprehensive-analysis")
+    public Map<String, Object> getComprehensiveAnalysisData(
+        @RequestParam String startDate,
+        @RequestParam String endDate,
+        @RequestParam(required = false) String  categorySpecs,
+        @RequestParam(required = false) String category,
+        @RequestParam(required = false) String productCode,
+        @RequestParam(required = false) String customerName,
+        @RequestParam(required = false) String brand,
+        @RequestParam(required = false) String shopName
+    ) throws Exception {
+        TjfxAnalysisDataDTO tjfxAnalysisDataDTO = new TjfxAnalysisDataDTO();
+        tjfxAnalysisDataDTO.setStartDate(startDate);
+        tjfxAnalysisDataDTO.setEndDate(endDate);
+        tjfxAnalysisDataDTO.setCategorySpecs(categorySpecs);
+        tjfxAnalysisDataDTO.setCategory(category);
+        tjfxAnalysisDataDTO.setProductCode(productCode);
+        tjfxAnalysisDataDTO.setCustomerName(customerName);
+        tjfxAnalysisDataDTO.setBrand(brand);
+        tjfxAnalysisDataDTO.setShopName(shopName);
+        return tjfxAnalysisDataService.selectByProductAndShopAndSpecification(tjfxAnalysisDataDTO);
+    }
+
+
+}

zs-manager/src/main/java/com/ruoyi/tjfx/entity/TjfxAnalysisDataDTO.java

@@ -0,0 +1,45 @@
+package com.ruoyi.tjfx.entity;
+
+import lombok.Getter;
+import lombok.Setter;
+
+import javax.validation.constraints.NotNull;
+
+
+/**
+ * 统计分析数据传输对象(Data Transfer Object)
+ * 用于封装统计分析相关的查询条件
+ */
+@Getter
+@Setter
+public class TjfxAnalysisDataDTO {
+
+    @NotNull
+    // 统计开始时间
+    private String startDate;
+
+    @NotNull
+    // 统计结束时间
+    private String endDate;
+
+    // 分类规格条件
+    private String categorySpecs;
+
+    // 分类条件
+    private String category;
+
+
+    // 产品代码
+    private String productCode;
+
+    // 客户名称
+    private String customerName;
+
+    // 品牌
+    private String brand;
+
+    // 店铺名称
+    private String shopName;
+
+
+}

zs-manager/src/main/java/com/ruoyi/tjfx/mapper/TjfxAnalysisDataMapper.java

@@ -0,0 +1,54 @@
+package com.ruoyi.tjfx.mapper;
+import com.ruoyi.tjfx.entity.TjfxAnalysisDataDTO;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+
+import java.util.List;
+import java.util.Map;
+
+@Mapper
+public interface TjfxAnalysisDataMapper {
+
+    List<Map<String, Object>> select(TjfxAnalysisDataDTO tjfxAnalysisDataDTO);
+
+
+
+    List<Map<String, Object>> selectByShop(TjfxAnalysisDataDTO tjfxAnalysisDataDTO);
+
+
+
+
+    List<Map<String, Object>> selectMonth(@Param("sql") String sql, @Param("productCodeList") List<String> productCodeList, @Param("brandList") List<String> brandList, @Param("shopNameList") List<String> shopNameList, @Param("customerNameList") List<String> customerNameList, @Param("startDate") String startDate, @Param("endDate") String endDate, @Param("category") String category);
+
+
+    List<Map<String, Object>> selectByCustomer(@Param("productCodeList") List<String> productCodeList,
+                                               @Param("brandList") List<String> brandList,
+                                               @Param("shopNameList") List<String> shopNameList,
+                                               @Param("customerNameList") List<String> customerNameList,
+                                               @Param("startDate") String startDate,
+                                               @Param("endDate") String endDate,
+                                               @Param("category") String category,
+                                               @Param("sql") String sql);
+
+    List<Map<String, Object>> selectByProduct(@Param("productCodeList") List<String> productCodeList, @Param("brandList") List<String> brandList, @Param("shopNameList") List<String> shopNameList, @Param("customerNameList") List<String> customerNameList, @Param("startDate") String startDate, @Param("endDate") String endDate, @Param("category") String category, @Param("sql") String sql);
+
+    List<Map<String, Object>> selectBySpecification(@Param("productCodeList") List<String> productCodeList, @Param("brandList") List<String> brandList, @Param("shopNameList") List<String> shopNameList, @Param("customerNameList") List<String> customerNameList, @Param("startDate") String startDate, @Param("endDate") String endDate, @Param("category") String category, @Param("sql") String sql);
+
+    List<Map<String, Object>> selectByBrand(@Param("productCodeList") List<String> productCodeList, @Param("brandList") List<String> brandList, @Param("shopNameList") List<String> shopNameList, @Param("customerNameList") List<String> customerNameList, @Param("startDate") String startDate, @Param("endDate") String endDate, @Param("category") String category, @Param("sql") String sql);
+
+    List<Map<String, Object>> selectByShopName(@Param("productCodeList") List<String> productCodeList, @Param("brandList") List<String> brandList, @Param("shopNameList") List<String> shopNameList, @Param("customerNameList") List<String> customerNameList, @Param("startDate") String startDate, @Param("endDate") String endDate, @Param("category") String category, @Param("sql") String sql);
+
+
+
+
+
+
+
+
+
+
+
+
+
+}

zs-manager/src/main/java/com/ruoyi/tjfx/service/impl/TjfxAnalysisDataServiceImpl.java

@@ -0,0 +1,623 @@
+package com.ruoyi.tjfx.service.impl;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.ruoyi.tjfx.entity.TjfxAnalysisDataDTO;
+import com.ruoyi.tjfx.mapper.TjfxAnalysisDataMapper;
+import com.ruoyi.tjfx.service.TjfxAnalysisDataService;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Service;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+
+@Service
+public class TjfxAnalysisDataServiceImpl implements TjfxAnalysisDataService {
+    private static final Logger log = LoggerFactory.getLogger(TjfxAnalysisDataServiceImpl.class);
+
+
+    @Autowired
+    private TjfxAnalysisDataMapper tjfxAnalysisDataMapper;
+
+    /**
+     * 根据产品代码查询数据并进行聚合处理
+     *
+     * @param tjfxAnalysisDataDTO 查询条件数据传输对象，包含查询所需的参数
+     * @return 返回聚合处理后的结果列表，每个元素是一个Map，键为String类型，值为Object类型
+     * @throws Exception 可能抛出的异常，如数据库查询异常等
+     */
+    public List<Map<String, Object>> selectByProductCode(TjfxAnalysisDataDTO tjfxAnalysisDataDTO) throws Exception {
+        // 调用数据访问层方法获取原始数据
+        List<Map<String, Object>> rows = tjfxAnalysisDataMapper.select(tjfxAnalysisDataDTO);
+        // 对获取的数据进行聚合处理后返回
+        return aggregate(rows);
+    }
+
+    /**
+     * 根据条件查询分析数据并返回聚合后的结果
+     *
+     * @param tjfxAnalysisDataDTO 查询条件的数据传输对象
+     * @return 返回一个Map，键为String类型，值为List<String>类型，表示查询结果
+     * @throws Exception 如果查询过程中发生异常，则抛出Exception
+     */
+    @Override
+    public Map<String, List<String>> select(TjfxAnalysisDataDTO tjfxAnalysisDataDTO) throws Exception {
+        // 调用数据访问层的select方法查询数据，返回结果为List<Map<String, Object>>类型
+        List<Map<String, Object>> rows = tjfxAnalysisDataMapper.select(tjfxAnalysisDataDTO);
+        // 将查询结果聚合为Map<String, List<String>>类型并返回
+        return aggregateToMap(rows);
+    }
+
+    /**
+     * 查询月度数据
+     *
+     * @param tjfxAnalysisDataDTO 查询条件参数对象
+     * @return 返回月度数据列表
+     */
+    @Override
+    public List<Map<String, Object>> selectMonth(TjfxAnalysisDataDTO tjfxAnalysisDataDTO) throws Exception {
+        String productCode = tjfxAnalysisDataDTO.getProductCode();
+        List<String> productCodeList;
+        if (productCode != null && !productCode.isEmpty()) {
+            productCodeList = Arrays.stream(productCode.split(","))
+                .filter(code -> !code.isEmpty()) // 过滤空字符串
+                .collect(Collectors.toList()); // 转换为可修改的ArrayList
+        } else {
+            productCodeList = new ArrayList<>(); // 空列表
+        }
+
+        String brand = tjfxAnalysisDataDTO.getBrand();
+        List<String> brandList;
+        if (brand != null && !brand.isEmpty()) {
+            brandList = Arrays.stream(brand.split(","))
+                .filter(code -> !code.isEmpty()) // 过滤空字符串
+                .collect(Collectors.toList()); // 转换为可修改的ArrayList
+        } else {
+            brandList = new ArrayList<>(); // 空列表
+        }
+
+        String shopName = tjfxAnalysisDataDTO.getShopName();
+        List<String> shopNameList;
+        if (shopName != null && !shopName.isEmpty()) {
+            shopNameList = Arrays.stream(shopName.split(","))
+                .filter(code -> !code.isEmpty()) // 过滤空字符串
+                .collect(Collectors.toList()); // 转换为可修改的ArrayList
+        } else {
+            shopNameList = new ArrayList<>(); // 空列表
+        }
+
+        String customerName = tjfxAnalysisDataDTO.getCustomerName();
+        List<String> customerNameList;
+        if (customerName != null && !customerName.isEmpty()) {
+            customerNameList = Arrays.stream(customerName.split(","))
+                .filter(code -> !code.isEmpty()) // 过滤空字符串
+                .collect(Collectors.toList()); // 转换为可修改的ArrayList
+        } else {
+            customerNameList = new ArrayList<>(); // 空列表
+        }
+
+        String categorySpecs = tjfxAnalysisDataDTO.getCategorySpecs();
+        String sql = "1=1";
+        if (categorySpecs != null && !categorySpecs.trim().isEmpty()) {
+            ObjectMapper objectMapper = new ObjectMapper();
+            Map<String, List<String>> res = objectMapper.readValue(categorySpecs, new com.fasterxml.jackson.core.type.TypeReference<Map<String, List<String>>>() {
+            });
+
+            sql = res.entrySet().stream()
+                .map(entry -> {
+                    String key = entry.getKey();
+                    List<String> values = entry.getValue();
+
+                    // 明确指定JSON路径格式。
+
+                    String jsonPath = String.format("$.\"%s\"", key);
+
+                    // 生成条件时确保整体格式正确
+                    String orConditions = values.stream()
+                        .map(value -> {
+                            String escapedValue = value.replace("'", "''");
+                            // 注意这里JSON路径用单引号包裹，内部键名用双引号
+                            return String.format("JSON_UNQUOTE(JSON_EXTRACT(category_specs, '%s')) = '%s'", jsonPath, escapedValue);
+                        })
+                        .collect(Collectors.joining(" OR ")).trim();
+
+                    return "(" + orConditions + ")";
+                })
+                .collect(Collectors.joining(" AND ")).trim();
+        }
+        String startDate = tjfxAnalysisDataDTO.getStartDate();
+        String endDate = tjfxAnalysisDataDTO.getEndDate();
+        String category = tjfxAnalysisDataDTO.getCategory();
+
+        // 执行查询
+        List<Map<String, Object>> result = tjfxAnalysisDataMapper.selectMonth(sql, productCodeList, brandList, shopNameList, customerNameList, startDate, endDate, category);
+        return result;
+    }
+
+    /**
+     * 根据商品、店铺和规格条件查询分析数据
+     * 返回包含客户数据、商品数据和规格数据的综合结果
+     *
+     * @param tjfxAnalysisDataDTO 查询条件参数，包含商品、店铺和规格相关信息
+     * @return 返回包含客户数据、商品数据和规格数据的列表
+     */
+    @Override
+    public Map<String, Object> selectByProductAndShopAndSpecification(TjfxAnalysisDataDTO tjfxAnalysisDataDTO) throws Exception {
+        // 获取商品编码并处理为列表形式
+        String productCode = tjfxAnalysisDataDTO.getProductCode();
+        List<String> productCodeList;
+        if (productCode != null && !productCode.isEmpty()) {
+            // 将逗号分隔的商品编码字符串转换为列表，并过滤空字符串
+            productCodeList = Arrays.stream(productCode.split(","))
+                .filter(code -> !code.isEmpty()) // 过滤空字符串
+                .collect(Collectors.toList()); // 转换为可修改的ArrayList
+        } else {
+            productCodeList = new ArrayList<>(); // 空列表
+        }
+
+        // 获取品牌信息并处理为列表形式
+        String brand = tjfxAnalysisDataDTO.getBrand();
+        List<String> brandList;
+        if (brand != null && !brand.isEmpty()) {
+            // 将逗号分隔的品牌字符串转换为列表，并过滤空字符串
+            brandList = Arrays.stream(brand.split(","))
+                .filter(code -> !code.isEmpty()) // 过滤空字符串
+                .collect(Collectors.toList()); // 转换为可修改的ArrayList
+        } else {
+            brandList = new ArrayList<>(); // 空列表
+        }
+
+        // 获取店铺名称并处理为列表形式
+        String shopName = tjfxAnalysisDataDTO.getShopName();
+        List<String> shopNameList;
+        if (shopName != null && !shopName.isEmpty()) {
+            // 将逗号分隔的店铺名称字符串转换为列表，并过滤空字符串
+            shopNameList = Arrays.stream(shopName.split(","))
+                .filter(code -> !code.isEmpty()) // 过滤空字符串
+                .collect(Collectors.toList()); // 转换为可修改的ArrayList
+        } else {
+            shopNameList = new ArrayList<>(); // 空列表
+        }
+
+        // 获取客户名称并处理为列表形式
+        String customerName = tjfxAnalysisDataDTO.getCustomerName();
+        List<String> customerNameList;
+        if (customerName != null && !customerName.isEmpty()) {
+            // 将逗号分隔的客户名称字符串转换为列表，并过滤空字符串
+            customerNameList = Arrays.stream(customerName.split(","))
+                .filter(code -> !code.isEmpty()) // 过滤空字符串
+                .collect(Collectors.toList()); // 转换为可修改的ArrayList
+        } else {
+            customerNameList = new ArrayList<>(); // 空列表
+        }
+
+        // 处理规格条件，构建SQL查询条件
+        String categorySpecs = tjfxAnalysisDataDTO.getCategorySpecs();
+        String sql = "1=1"; // 默认条件，表示无限制
+        if (categorySpecs != null && !categorySpecs.trim().isEmpty()) {
+            // 使用Jackson的ObjectMapper解析JSON格式的规格条件
+            ObjectMapper objectMapper = new ObjectMapper();
+            Map<String, List<String>> res = objectMapper.readValue(categorySpecs, new com.fasterxml.jackson.core.type.TypeReference<Map<String, List<String>>>() {
+            });
+            // 将规格条件转换为SQL的JSON_EXTRACT查询条件
+            sql = res.entrySet().stream()
+                .map(entry -> {
+                    String key = entry.getKey();
+                    List<String> values = entry.getValue();
+
+                    // 明确指定JSON路径格式，使用方括号语法可能兼容性更好
+                    String jsonPath = String.format("$.\"%s\"", key);
+
+                    // 生成条件时确保整体格式正确
+                    String orConditions = values.stream()
+                        .map(value -> {
+                            String escapedValue = value.replace("'", "''");
+                            // 注意这里JSON路径用单引号包裹，内部键名用双引号
+                            return String.format("JSON_UNQUOTE(JSON_EXTRACT(category_specs, '%s')) = '%s'", jsonPath, escapedValue);
+                        })
+                        .collect(Collectors.joining(" OR ")).trim();
+
+                    return "(" + orConditions + ")";
+                })
+                .collect(Collectors.joining(" AND ")).trim();
+        }
+        // 获取查询的时间范围和分类信息
+        String startDate = tjfxAnalysisDataDTO.getStartDate();
+        String endDate = tjfxAnalysisDataDTO.getEndDate();
+        String category = tjfxAnalysisDataDTO.getCategory();
+        // 创建结果列表
+        Map<String, Object> result = new HashMap<>();
+        // 查询按客户名称分组的数据
+        List<Map<String, Object>> customerData = tjfxAnalysisDataMapper.selectByCustomer(productCodeList, brandList, shopNameList, customerNameList, startDate, endDate, category, sql);
+        // 查询按商品分组的数据
+        List<Map<String, Object>> productData = tjfxAnalysisDataMapper.selectByProduct(productCodeList, brandList, shopNameList, customerNameList, startDate, endDate, category, sql);
+        // 查询按规格分组的数据
+        List<Map<String, Object>> rows = tjfxAnalysisDataMapper.selectBySpecification(productCodeList, brandList, shopNameList, customerNameList, startDate, endDate, category, sql);
+        //查询店铺
+        List<Map<String, Object>> shop = tjfxAnalysisDataMapper.selectByShopName(productCodeList, brandList, shopNameList, customerNameList, startDate, endDate, category, sql);
+        //查询按品牌分组的数据
+        List<Map<String, Object>> brands = tjfxAnalysisDataMapper.selectByBrand(productCodeList, brandList, shopNameList, customerNameList, startDate, endDate, category, sql);
+        // 使用新的规格数据聚合方法处理数据
+        Map<String, Map<String, Map<String, Object>>> specificationData;
+        try {
+            specificationData = aggregateSpecificationData(rows);
+        } catch (Exception e) {
+            log.error("处理规格数据时发生错误", e);
+            specificationData = new LinkedHashMap<>();
+        }
+
+
+        result.put("customer_name", customerData);
+        result.put("product_code", productData);
+        result.put("brand", brands);
+        result.put("shop_name", shop);
+        result.put("category_specs", specificationData);
+        return result;
+    }
+
+
+    /**
+     * 将输入的Map列表聚合为包含所有唯一值的Map，每个键对应一个排序后的列表
+     * 主要用于获取所有可能的选项值，用于前端下拉框等场景
+     *
+     * @param input 包含多个Map的列表，每个Map代表一条记录
+     * @return 包含所有唯一值的Map，键为字段名，值为排序后的唯一值列表
+     * @throws Exception 可能抛出异常
+     */
+    public static Map<String, List<String>> aggregateToMap(List<Map<String, Object>> input) throws Exception {
+        // 结果Map，包含所有需要的字段，使用LinkedHashMap保持插入顺序
+        Map<String, List<String>> result = new LinkedHashMap<>();
+
+        // 初始化基础字段为空列表，确保这些字段始终存在于结果中
+        result.put("product_code", new ArrayList<>());
+        result.put("brand", new ArrayList<>());
+        result.put("customer_name", new ArrayList<>());
+        result.put("shop_name", new ArrayList<>());
+
+        // 处理空输入情况，直接返回初始化的结果Map
+        if (input == null || input.isEmpty()) {
+            return result;
+        }
+
+        // 按product_code分组（保持插入顺序）
+        Map<String, List<Map<String, Object>>> grouped = input.stream()
+            .collect(Collectors.groupingBy(m -> nz((String) m.get("product_code")), LinkedHashMap::new, Collectors.toList()));
+
+        // 用于去重的集合
+        LinkedHashSet<String> productCodes = new LinkedHashSet<>();
+        LinkedHashSet<String> brands = new LinkedHashSet<>();
+        LinkedHashSet<String> customerNames = new LinkedHashSet<>();
+        LinkedHashSet<String> shopNames = new LinkedHashSet<>();
+
+        // 分类规格键 -> 有序去重值集合（动态添加键）
+        Map<String, LinkedHashSet<String>> categoryValues = new LinkedHashMap<>();
+
+        // 遍历所有分组数据
+        for (List<Map<String, Object>> records : grouped.values()) {
+            for (Map<String, Object> record : records) {
+                // 收集基础字段
+                productCodes.add(nz((String) record.get("product_code")));
+                brands.add(nz((String) record.get("brand")));
+                customerNames.add(nz((String) record.get("customer_name")));
+                shopNames.add(nz((String) record.get("shop_name")));
+
+                // 处理category_specs字段（动态处理所有键）
+                String specs = (String) record.get("category_specs");
+                if (specs != null && !specs.trim().isEmpty()) {
+                    try {
+                        // 使用与aggregate方法相同的方式解析JSON
+                        ObjectMapper mapper = new ObjectMapper();
+                        Map<String, String> specsMap = mapper.readValue(specs, new com.fasterxml.jackson.core.type.TypeReference<Map<String, String>>() {
+                        });
+                        for (Map.Entry<String, String> entry : specsMap.entrySet()) {
+                            String key = entry.getKey();
+                            String value = entry.getValue();
+                            if (value != null && !value.trim().isEmpty()) {
+                                // 动态获取或创建键对应的集合
+                                categoryValues.computeIfAbsent(key, k -> new LinkedHashSet<>())
+                                    .add(value.trim());
+                            }
+                        }
+                    } catch (Exception ignore) {
+                        // 解析失败时忽略
+                    }
+                }
+            }
+        }
+
+        // 排序并将去重后的集合转换为列表
+        List<String> sortedProductCodes = new ArrayList<>(productCodes);
+        Collections.sort(sortedProductCodes);
+        result.put("product_code", sortedProductCodes);
+
+        List<String> sortedBrands = new ArrayList<>(brands);
+        Collections.sort(sortedBrands);
+        result.put("brand", sortedBrands);
+
+        List<String> sortedCustomerNames = new ArrayList<>(customerNames);
+        Collections.sort(sortedCustomerNames);
+        result.put("customer_name", sortedCustomerNames);
+
+        List<String> sortedShopNames = new ArrayList<>(shopNames);
+        Collections.sort(sortedShopNames);
+        result.put("shop_name", sortedShopNames);
+
+        // 处理所有动态识别的分类规格字段
+        for (Map.Entry<String, LinkedHashSet<String>> entry : categoryValues.entrySet()) {
+            List<String> sortedValues = new ArrayList<>(entry.getValue());
+            Collections.sort(sortedValues);
+            result.put(entry.getKey(), sortedValues);
+        }
+
+        return result;
+    }
+
+
+    /**
+     * 处理null字符串，将null转为空字符串并trim
+     *
+     * @param s 待处理的字符串
+     * @return 处理后的字符串，null转为空字符串
+     */
+    public static String nz(String s) {
+        return s == null ? "" : s.trim();
+    }
+
+    /**
+     * 解析categorySpecs字符串，支持单个JSON对象或多个JSON对象拼接的情况
+     *
+     * @param categorySpecs 规格字符串，可能是单个JSON或多个JSON拼接
+     * @param objectMapper  Jackson ObjectMapper实例
+     * @return 合并后的规格Map
+     * @throws Exception 解析异常
+     */
+    private static Map<String, List<String>> parseCategorySpecs(String categorySpecs, ObjectMapper objectMapper) throws Exception {
+        Map<String, List<String>> result = new LinkedHashMap<>();
+
+        if (categorySpecs == null || categorySpecs.trim().isEmpty()) {
+            return result;
+        }
+
+        String trimmed = categorySpecs.trim();
+
+        // 尝试直接解析为单个JSON对象
+        try {
+            Map<String, List<String>> singleResult = objectMapper.readValue(trimmed,
+                new com.fasterxml.jackson.core.type.TypeReference<Map<String, List<String>>>() {
+                });
+            return singleResult;
+        } catch (Exception e) {
+            // 如果单个JSON解析失败，尝试解析多个JSON对象拼接的情况
+            log.debug("单个JSON解析失败，尝试解析多个JSON对象拼接: {}", e.getMessage());
+        }
+
+        // 处理多个JSON对象拼接的情况
+        // 使用正则表达式分割JSON对象
+        // 匹配 { ... } 模式，但需要处理嵌套的大括号
+        List<String> jsonObjects = splitJsonObjects(trimmed);
+
+        for (String jsonStr : jsonObjects) {
+            if (jsonStr.trim().isEmpty()) {
+                continue;
+            }
+
+            try {
+                Map<String, List<String>> jsonMap = objectMapper.readValue(jsonStr.trim(),
+                    new com.fasterxml.jackson.core.type.TypeReference<Map<String, List<String>>>() {
+                    });
+
+                // 合并到结果中
+                for (Map.Entry<String, List<String>> entry : jsonMap.entrySet()) {
+                    String key = entry.getKey();
+                    List<String> values = entry.getValue();
+
+                    if (result.containsKey(key)) {
+                        // 如果键已存在，合并值列表并去重
+                        Set<String> uniqueValues = new LinkedHashSet<>(result.get(key));
+                        uniqueValues.addAll(values);
+                        result.put(key, new ArrayList<>(uniqueValues));
+                    } else {
+                        result.put(key, new ArrayList<>(values));
+                    }
+                }
+            } catch (Exception e) {
+                log.warn("解析JSON对象失败: {}", jsonStr, e);
+            }
+        }
+
+        return result;
+    }
+
+    /**
+     * 分割多个JSON对象拼接的字符串
+     *
+     * @param jsonString 包含多个JSON对象的字符串
+     * @return JSON对象列表
+     */
+    private static List<String> splitJsonObjects(String jsonString) {
+        List<String> result = new ArrayList<>();
+        if (jsonString == null || jsonString.trim().isEmpty()) {
+            return result;
+        }
+
+        int braceCount = 0;
+        int start = -1;
+
+        for (int i = 0; i < jsonString.length(); i++) {
+            char c = jsonString.charAt(i);
+
+            if (c == '{') {
+                if (braceCount == 0) {
+                    start = i; // 记录JSON对象开始位置
+                }
+                braceCount++;
+            } else if (c == '}') {
+                braceCount--;
+                if (braceCount == 0 && start != -1) {
+                    // 找到一个完整的JSON对象
+                    String jsonObj = jsonString.substring(start, i + 1);
+                    result.add(jsonObj);
+                    start = -1;
+                }
+            }
+        }
+
+        return result;
+    }
+
+    /**
+     * 按规格分组处理数据，返回按category_specs字段中所有key分组的Map结构
+     * 将相同规格的数据进行聚合，累加数量和金额，并按所有key进行分组展示
+     *
+     * @param input 包含规格数据的列表，每个Map包含category_specs、totalQuantity、totalAmount
+     * @return 返回按category_specs中所有key分组的Map，外层键为key名，内层键为key值，值为包含数量和金额的Map
+     * @throws Exception 可能抛出异常
+     */
+    public static Map<String, Map<String, Map<String, Object>>> aggregateSpecificationData(List<Map<String, Object>> input) throws Exception {
+        // 外层Map：key名称 -> 内层Map：key值 -> {数量, 金额}
+        Map<String, Map<String, Map<String, Object>>> result = new LinkedHashMap<>();
+
+        // 处理空输入情况
+        if (input == null || input.isEmpty()) {
+            return result;
+        }
+
+        for (Map<String, Object> record : input) {
+            String specs = (String) record.get("category_specs");
+            Object totalQuantity = record.get("totalQuantity");
+            Object totalAmount = record.get("totalAmount");
+
+            if (specs != null && !specs.trim().isEmpty()) {
+                try {
+                    ObjectMapper mapper = new ObjectMapper();
+                    Map<String, String> specsMap = mapper.readValue(specs, new com.fasterxml.jackson.core.type.TypeReference<Map<String, String>>() {
+                    });
+
+                    // 获取数量和金额值
+                    Long quantity = totalQuantity != null ? ((Number) totalQuantity).longValue() : 0L;
+                    Double amount = totalAmount != null ? ((Number) totalAmount).doubleValue() : 0.0;
+
+                    // 遍历规格Map中的所有key进行分组
+                    for (Map.Entry<String, String> entry : specsMap.entrySet()) {
+                        String keyName = entry.getKey();
+                        String keyValue = entry.getValue() != null ? entry.getValue().trim() : "";
+
+                        if (!keyValue.isEmpty()) {
+                            // 确保外层Map包含该keyName
+                            if (!result.containsKey(keyName)) {
+                                result.put(keyName, new LinkedHashMap<>());
+                            }
+                            Map<String, Map<String, Object>> keyGroups = result.get(keyName);
+
+                            // 确保内层Map包含该keyValue
+                            if (!keyGroups.containsKey(keyValue)) {
+                                Map<String, Object> dataMap = new LinkedHashMap<>();
+                                dataMap.put("totalQuantity", 0L);
+                                dataMap.put("totalAmount", 0.0);
+                                keyGroups.put(keyValue, dataMap);
+                            }
+
+                            // 更新数量和金额
+                            Map<String, Object> dataMap = keyGroups.get(keyValue);
+                            Long currentQuantity = (Long) dataMap.get("totalQuantity");
+                            Double currentAmount = (Double) dataMap.get("totalAmount");
+                            dataMap.put("totalQuantity", currentQuantity + quantity);
+                            dataMap.put("totalAmount", currentAmount + amount);
+                        }
+                    }
+                } catch (Exception e) {
+                    log.warn("解析规格数据失败: " + specs, e);
+                }
+            }
+        }
+
+        // 对每个key下的value进行排序
+        for (Map.Entry<String, Map<String, Map<String, Object>>> entry : result.entrySet()) {
+            Map<String, Map<String, Object>> sortedKeyValues = new LinkedHashMap<>();
+            List<String> sortedKeys = new ArrayList<>(entry.getValue().keySet());
+            Collections.sort(sortedKeys);
+
+            for (String key : sortedKeys) {
+                sortedKeyValues.put(key, entry.getValue().get(key));
+            }
+
+            result.put(entry.getKey(), sortedKeyValues);
+        }
+
+        return result;
+    }
+
+
+    /**
+     * 对输入的List<Map<String, Object>>类型数据进行聚合处理
+     * 按产品代码分组，将相同产品的数据进行聚合，收集品牌、店铺、客户和规格信息
+     *
+     * @param input 包含Map<String, Object>的列表，作为聚合处理的输入数据
+     * @return 返回聚合处理后的List<Map < String, Object>>类型数据
+     * @throws Exception 可能在处理过程中抛出异常
+     */
+    public static List<Map<String, Object>> aggregate(List<Map<String, Object>> input) throws Exception {
+        // 按product_code 分组（保持插入顺序）
+        Map<String, List<Map<String, Object>>> grouped = input.stream()
+            .collect(Collectors.groupingBy(m -> (String) m.get("product_code"), LinkedHashMap::new, Collectors.toList()));
+
+        List<Map<String, Object>> result = new ArrayList<>();
+
+        for (Map.Entry<String, List<Map<String, Object>>> entry : grouped.entrySet()) {
+            String product_code = entry.getKey();
+            List<Map<String, Object>> records = entry.getValue();
+
+            Map<String, Object> aggregated = new LinkedHashMap<>();
+            aggregated.put("product_code", product_code);
+
+            // 品牌名称集合
+            LinkedHashSet<String> brandNames = new LinkedHashSet<>();
+            // 店铺名称集合
+            LinkedHashSet<String> shopNames = new LinkedHashSet<>();
+            // 客户名称集合
+            LinkedHashSet<String> customerNames = new LinkedHashSet<>();
+            // 规格信息集合
+            Map<String, Set<String>> categorySet = new LinkedHashMap<>();
+
+            for (Map<String, Object> record : records) {
+                // 收集基础信息
+                brandNames.add((String) record.get("brand"));
+                shopNames.add((String) record.get("shop_name"));
+                customerNames.add((String) record.get("customer_name"));
+
+                // 处理规格信息
+                String specs = (String) record.get("category_specs");
+                ObjectMapper mapper = new ObjectMapper();
+                Map<String, String> specsMap = mapper.readValue(specs, new com.fasterxml.jackson.core.type.TypeReference<Map<String, String>>() {
+                });
+                for (Map.Entry<String, String> courseEntry : specsMap.entrySet()) {
+                    categorySet.computeIfAbsent(courseEntry.getKey(), k -> new HashSet<>())
+                        .add(courseEntry.getValue());
+                }
+            }
+
+            // 排序并转回 List<String>
+            Map<String, List<String>> categorySets = new LinkedHashMap<>();
+            for (Map.Entry<String, Set<String>> courseEntry : categorySet.entrySet()) {
+                List<String> sortedScores = new ArrayList<>(courseEntry.getValue());
+                Collections.sort(sortedScores); // 升序
+                List<String> scoresStr = sortedScores.stream()
+                    .map(String::valueOf)
+                    .collect(Collectors.toList());
+                categorySets.put(courseEntry.getKey(), scoresStr);
+            }
+
+            // 组装聚合结果
+            aggregated.put("brand", new ArrayList<>(brandNames));
+            aggregated.put("shop_name", new ArrayList<>(shopNames));
+            aggregated.put("customer_name", new ArrayList<>(customerNames));
+            aggregated.putAll(categorySets);
+
+            result.add(aggregated);
+        }
+
+        return result;
+    }
+}

zs-manager/src/main/resources/mapper/TjfxAnalysisDataMapper.xml

@@ -0,0 +1,281 @@
+<?xml version="1.0" encoding="UTF-8" ?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
+<mapper namespace="com.ruoyi.tjfx.mapper.TjfxAnalysisDataMapper">
+    <select id="select" resultType="java.util.Map">
+        select shop_name,
+        customer_name,
+        product_code,
+        brand,
+        category_specs
+        from zs_tjfx_analysis_data
+        <where>
+            category = #{category} and date between #{startDate} and #{endDate}
+        </where>
+        order by category_specs;
+    </select>
+
+    <select id="selectMonth" resultType="java.util.Map">
+        select DATE_FORMAT(date, '%Y-%m') AS month, SUM(quantity) AS totalQuantity,SUM(total_amount) AS totalAmount
+        FROM zs_tjfx_analysis_data
+        WHERE date BETWEEN #{startDate} AND #{endDate}
+        AND status = 1
+        <if test="category != null and category != ''">
+            AND category = #{category}
+        </if>
+        <if test="productCodeList !=null and productCodeList.size() > 0">
+            AND product_code in
+            <foreach collection="productCodeList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="customerNameList !=null and customerNameList.size()>0">
+            AND customer_name in
+            <foreach collection="customerNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="shopNameList !=null and shopNameList.size()>0">
+            AND shop_name in
+            <foreach collection="shopNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="brandList !=null and brandList.size()>0">
+            AND brand in
+            <foreach collection="brandList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="sql != null and sql != ''">
+            AND ${sql}
+        </if>
+        GROUP BY month
+    </select>
+
+    <select id="selectByShop" resultType="java.util.Map">
+        select shop_name, SUM(quantity) AS totalQuantity,SUM(total_amount) AS totalAmount
+        FROM zs_tjfx_analysis_data
+        WHERE date BETWEEN #{startDate} AND #{endDate}
+        AND status = 1
+        <if test="category != null and category != ''">
+            AND category = #{category}
+        </if>
+        <if test="categorySpecs != null and categorySpecs != ''">
+            AND category_specs LIKE CONCAT('%', #{categorySpecs}, '%')
+        </if>
+        <if test="customerName != null and customerName != ''">
+            AND customer_name = #{customerName}
+        </if>
+        <if test="shopName != null and shopName != ''">
+            AND shop_name = #{shopName}
+        </if>
+        <if test="brand != null and brand != ''">
+            AND brand = #{brand}
+        </if>
+        <if test="productCode != null and productCode != ''">
+            AND product_code LIKE CONCAT('%', #{productCode}, '%')
+        </if>
+        GROUP BY shop_name
+    </select>
+    <select id="selectByProduct" resultType="java.util.Map">
+        select product_code, SUM(quantity) AS totalQuantity,SUM(total_amount) AS totalAmount
+        FROM zs_tjfx_analysis_data
+        WHERE date BETWEEN #{startDate} AND #{endDate}
+        AND status = 1
+        <if test="category != null and category != ''">
+            AND category = #{category}
+        </if>
+        <if test="productCodeList !=null and productCodeList.size() > 0">
+            AND product_code in
+            <foreach collection="productCodeList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="customerNameList !=null and customerNameList.size()>0">
+            AND customer_name in
+            <foreach collection="customerNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="shopNameList !=null and shopNameList.size()>0">
+            AND shop_name in
+            <foreach collection="shopNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="brandList !=null and brandList.size()>0">
+            AND brand in
+            <foreach collection="brandList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="sql != null and sql != ''">
+            AND ${sql}
+        </if>
+        GROUP BY product_code
+    </select>
+
+    <select id="selectByCustomer" resultType="java.util.Map">
+        select customer_name, SUM(quantity) AS totalQuantity,SUM(total_amount) AS totalAmount
+        FROM zs_tjfx_analysis_data
+        WHERE date BETWEEN #{startDate} AND #{endDate}
+        AND status = 1
+        <if test="category != null and category != ''">
+            AND category = #{category}
+        </if>
+        <if test="productCodeList !=null and productCodeList.size() > 0">
+            AND product_code in
+            <foreach collection="productCodeList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="customerNameList !=null and customerNameList.size()>0">
+            AND customer_name in
+            <foreach collection="customerNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="shopNameList !=null and shopNameList.size()>0">
+            AND shop_name in
+            <foreach collection="shopNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="brandList !=null and brandList.size()>0">
+            AND brand in
+            <foreach collection="brandList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="sql != null and sql != ''">
+            AND ${sql}
+        </if>
+        GROUP BY customer_name
+    </select>
+
+    <select id="selectBySpecification" resultType="java.util.Map">
+        select category_specs,SUM(quantity) AS totalQuantity,SUM(total_amount) AS totalAmount
+        FROM zs_tjfx_analysis_data
+        WHERE date BETWEEN #{startDate} AND #{endDate}
+        AND status = 1
+        <if test="category != null and category != ''">
+            AND category = #{category}
+        </if>
+        <if test="productCodeList !=null and productCodeList.size() > 0">
+            AND product_code in
+            <foreach collection="productCodeList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="customerNameList !=null and customerNameList.size()>0">
+            AND customer_name in
+            <foreach collection="customerNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="shopNameList !=null and shopNameList.size()>0">
+            AND shop_name in
+            <foreach collection="shopNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="brandList !=null and brandList.size()>0">
+            AND brand in
+            <foreach collection="brandList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="sql != null and sql != ''">
+            AND ${sql}
+        </if>
+        GROUP BY category_specs
+    </select>
+
+    <select id="selectByBrand" resultType="java.util.Map">
+        select brand,SUM(quantity) AS totalQuantity,SUM(total_amount) AS totalAmount
+        FROM zs_tjfx_analysis_data
+        WHERE date BETWEEN #{startDate} AND #{endDate}
+        AND status = 1
+        <if test="category != null and category != ''">
+            AND category = #{category}
+        </if>
+        <if test="productCodeList !=null and productCodeList.size() > 0">
+            AND product_code in
+            <foreach collection="productCodeList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="customerNameList !=null and customerNameList.size()>0">
+            AND customer_name in
+            <foreach collection="customerNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="shopNameList !=null and shopNameList.size()>0">
+            AND shop_name in
+            <foreach collection="shopNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="brandList !=null and brandList.size()>0">
+            AND brand in
+            <foreach collection="brandList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="sql != null and sql != ''">
+            AND ${sql}
+        </if>
+        GROUP BY brand
+    </select>
+
+    <select id="selectByShopName" resultType="java.util.Map">
+        select shop_name,SUM(quantity) AS totalQuantity,SUM(total_amount) AS totalAmount
+        FROM zs_tjfx_analysis_data
+        WHERE date BETWEEN #{startDate} AND #{endDate}
+        AND status = 1
+        <if test="category != null and category != ''">
+            AND category = #{category}
+        </if>
+        <if test="productCodeList !=null and productCodeList.size() > 0">
+            AND product_code in
+            <foreach collection="productCodeList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="customerNameList !=null and customerNameList.size()>0">
+            AND customer_name in
+            <foreach collection="customerNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="shopNameList !=null and shopNameList.size()>0">
+            AND shop_name in
+            <foreach collection="shopNameList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+        <if test="brandList !=null and brandList.size()>0">
+            AND brand in
+            <foreach collection="brandList" item="item" open="(" separator="," close=")">
+                #{item}
+            </foreach>
+        </if>
+
+        <if test="sql != null and sql != ''">
+            AND ${sql}
+        </if>
+        GROUP BY shop_name
+    </select>
+</mapper>