From 269ff4fbac22ae08107ee47ef500bd9574ccccce Mon Sep 17 00:00:00 2001
From: liding <756868258@qq.com>
Date: 星期四, 09 四月 2026 11:25:59 +0800
Subject: [PATCH] feat:1.groupBy 2.appVersion添加

---
 src/main/resources/mapper/account/AccountIncomeMapper.xml |   11 +++++++++--
 1 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/src/main/resources/mapper/account/AccountIncomeMapper.xml b/src/main/resources/mapper/account/AccountIncomeMapper.xml
index 4acb504..53c8cf3 100644
--- a/src/main/resources/mapper/account/AccountIncomeMapper.xml
+++ b/src/main/resources/mapper/account/AccountIncomeMapper.xml
@@ -11,6 +11,13 @@
         <if test="accountIncome.entryDateStart != null and accountIncome.entryDateStart != '' ">
             AND income_date &gt;= DATE_FORMAT(#{accountIncome.entryDateStart},'%Y-%m-%d')
         </if>
+        <if test="accountIncome.customerName != null and accountIncome.customerName != '' ">
+            AND customer_name like CONCAT('%',#{accountIncome.customerName},'%')
+        </if>
+
+        <if test="accountIncome.invoiceNumber != null and accountIncome.invoiceNumber != '' ">
+            AND invoice_number like CONCAT('%',#{accountIncome.invoiceNumber},'%')
+        </if>
         <if test="accountIncome.entryDateEnd != null and accountIncome.entryDateEnd != '' ">
             AND income_date &lt;= DATE_FORMAT(#{accountIncome.entryDateEnd},'%Y-%m-%d')
         </if>
@@ -54,7 +61,7 @@
         <if test="dateQueryDto.entryDateEnd != null and dateQueryDto.entryDateEnd != '' ">
             AND income_date &lt;= DATE_FORMAT(#{dateQueryDto.entryDateEnd},'%Y-%m-%d')
         </if>
-        group by income_type
+        GROUP BY sdd.dict_label, ai.income_type
     </select>
     <select id="report1" resultType="java.math.BigDecimal">
         SELECT
@@ -76,7 +83,7 @@
                IFNULL(SUM(income_money), 0)            AS amount
         FROM account_income
         WHERE income_date BETWEEN #{startDate} AND #{endDate}
-          AND business_type = 1
+#           AND business_type = 1
         GROUP BY dateStr
         ORDER BY dateStr
 

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