From a76e1d17d67641993dea6335cb8e1465a94df58d Mon Sep 17 00:00:00 2001
From: liding <756868258@qq.com>
Date: 星期四, 21 五月 2026 15:39:05 +0800
Subject: [PATCH] feat(stock): 优化库存管理和成品树结构功能 1- 为ApproveProcessMapper.xml和ProductBomMapper.xml添加排序功能 2- 在ProductionProductMainDto中新增bomInputQty字段用于产品结构投入数量 3- 修改ProductionProductMainServiceImpl中投入数量计算逻辑,使用前端传入的bomInputQty值 4- 在ProductWorkOrderDto中添加bomInputQty字段并在服务实现中计算标准投入数量 5- 更新SalesLedgerMapper.xml查询逻辑,从product_summary获取电压信息 6- 为SalesLedgerProduct添加stockId字段并修改库存扣减逻辑使用具体库存ID 7- 重构StockInventoryController中的成品库存树查询接口和导入导出功能 8- 新增成品和非成品库存导入导出的数据模型和Excel工具类 9- 优化StockInventoryServiceImpl中的库存扣减逻辑,支持按特定库存ID操作 10- 更新库存导入导出功能,区分成品和非成品类型并提供相应模板
---
src/main/resources/mapper/account/AccountExpenseMapper.xml | 36 ++++++++++++++++++++++++++++++++++++
1 files changed, 36 insertions(+), 0 deletions(-)
diff --git a/src/main/resources/mapper/account/AccountExpenseMapper.xml b/src/main/resources/mapper/account/AccountExpenseMapper.xml
index 909f372..1a8d34b 100644
--- a/src/main/resources/mapper/account/AccountExpenseMapper.xml
+++ b/src/main/resources/mapper/account/AccountExpenseMapper.xml
@@ -56,4 +56,40 @@
group by expense_type
</select>
+ <select id="report1" resultType="java.math.BigDecimal">
+ SELECT
+ ifnull(sum(expense_money),0) account
+ FROM account_expense ai
+ where
+ expense_type=#{dictValue}
+ <if test="dateQueryDto.entryDateStart != null and dateQueryDto.entryDateStart != '' ">
+ AND expense_date >= DATE_FORMAT(#{dateQueryDto.entryDateStart},'%Y-%m-%d')
+ </if>
+ <if test="dateQueryDto.entryDateEnd != null and dateQueryDto.entryDateEnd != '' ">
+ AND expense_date <= DATE_FORMAT(#{dateQueryDto.entryDateEnd},'%Y-%m-%d')
+ </if>
+ </select>
+
+ <select id="selectAccountExpenseStats" resultType="com.ruoyi.home.dto.IncomeExpenseAnalysisDto">
+ SELECT DATE_FORMAT(expense_date, #{dateFormat}) as dateStr, IFNULL(SUM(expense_money), 0) as amount
+ FROM account_expense
+ WHERE expense_date BETWEEN #{startDate} AND #{endDate}
+ GROUP BY dateStr
+ </select>
+
+ <select id="selectExpenseComposition" resultType="com.ruoyi.dto.MapDto">
+ SELECT sdd.dict_label as name, CAST(IFNULL(SUM(ae.expense_money), 0) AS CHAR) as value
+ FROM account_expense ae
+ LEFT JOIN sys_dict_data sdd ON ae.expense_type = sdd.dict_value AND sdd.dict_type = 'expense_types'
+ <where>
+ <if test="startDate != null and startDate != ''">
+ AND ae.expense_date >= #{startDate}
+ </if>
+ <if test="endDate != null and endDate != ''">
+ AND ae.expense_date <= #{endDate}
+ </if>
+ </where>
+ GROUP BY ae.expense_type, sdd.dict_label
+ </select>
+
</mapper>
--
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