销量记录导出
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@@ -1,5 +1,8 @@
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package com.czg.order.entity;
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import cn.idev.excel.annotation.ExcelIgnore;
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import cn.idev.excel.annotation.ExcelProperty;
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import cn.idev.excel.annotation.write.style.ColumnWidth;
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import com.mybatisflex.annotation.Column;
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import com.mybatisflex.annotation.Id;
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import com.mybatisflex.annotation.KeyType;
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@@ -20,7 +23,6 @@ import java.util.Date;
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* @since 2025-03-07
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*/
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@Data
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@NoArgsConstructor
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@AllArgsConstructor
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@Table("tb_shop_prod_statistic")
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@@ -30,48 +32,83 @@ public class ShopProdStatistic implements Serializable {
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private static final long serialVersionUID = 1L;
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@Id(keyType = KeyType.Auto)
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@ExcelIgnore
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private Long id;
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/**
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* 商品id
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*/
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@ExcelIgnore
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private Long prodId;
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/**
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* 商品名称
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*/
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@Column(ignore = true)
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@ExcelProperty("商品名称")
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@ColumnWidth(80)
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private String productName;
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/**
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* 销售数量
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*/
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@ExcelProperty("销售数量")
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@ColumnWidth(30)
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private BigDecimal saleCount;
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/**
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* 销售金额
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*/
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@ExcelProperty("销售金额")
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@ColumnWidth(50)
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private BigDecimal saleAmount;
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/**
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* 退单量
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*/
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@ExcelProperty("退单量")
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@ColumnWidth(30)
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private BigDecimal refundCount;
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/**
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* 退单金额
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*/
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@ExcelProperty("退单金额")
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@ColumnWidth(50)
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private BigDecimal refundAmount;
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/**
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* 实际销售数量(过滤掉退单后的数量)
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*/
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@ExcelProperty("实际销售数量")
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@ColumnWidth(30)
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private BigDecimal validSaleCount;
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/**
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* 实际销售金额(过滤掉退单后的金额)
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*/
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@ExcelProperty("实际销售金额")
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@ColumnWidth(50)
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private BigDecimal validSaleAmount;
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/**
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* 店铺id
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*/
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@ExcelIgnore
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private Long shopId;
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/**
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* 创建时间
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*/
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@ExcelIgnore
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private Date createDay;
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public void initValidData() {
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// 初始化实际销售数量和金额(过滤退单数据)
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this.validSaleCount = this.saleCount.subtract(this.refundCount);
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this.validSaleAmount = this.saleAmount.subtract(this.refundAmount);
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}
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// 在 ShopProdStatistic.java 中添加以下方法
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/**
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* 判断当前统计数据是否有效(销售数量、金额,退单数量、金额均有值且大于0)
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@@ -108,23 +108,23 @@ public class ShopProdStatisticServiceImpl extends ServiceImpl<ShopProdStatisticM
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public void statisticAndInsert(Long shopId, LocalDate day) {
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List<ShopProdStatistic> realTimeData = getRealTimeDataByDay(shopId, day, null);
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if (CollUtil.isNotEmpty(realTimeData)) {
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// 过滤掉没有有效数据的记录
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realTimeData = realTimeData.stream()
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.filter(ShopProdStatistic::isValid)
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.toList();
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if (CollUtil.isNotEmpty(realTimeData)) {
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boolean exists = exists(QueryWrapper.create().eq(ShopProdStatistic::getShopId, shopId).eq(ShopProdStatistic::getCreateDay, day));
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if (exists) {
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remove(QueryWrapper.create().eq(ShopProdStatistic::getShopId, shopId).eq(ShopProdStatistic::getCreateDay, day));
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}
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saveBatch(realTimeData);
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boolean exists = exists(QueryWrapper.create().eq(ShopProdStatistic::getShopId, shopId).eq(ShopProdStatistic::getCreateDay, day));
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if (exists) {
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remove(QueryWrapper.create().eq(ShopProdStatistic::getShopId, shopId).eq(ShopProdStatistic::getCreateDay, day));
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}
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saveBatch(realTimeData);
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}
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}
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@Override
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public List<ShopProdStatistic> getRealTimeDataByDay(Long shopId, LocalDate day, String productName) {
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return mapper.selectProStatByDay(shopId, day, productName);
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List<ShopProdStatistic> shopProdStatistics = mapper.selectProStatByDay(shopId, day, productName);
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// 过滤掉没有有效数据的记录
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shopProdStatistics = shopProdStatistics.stream()
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.filter(ShopProdStatistic::isValid)
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.peek(ShopProdStatistic::initValidData)
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.toList();
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return shopProdStatistics;
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}
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@Override
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@@ -90,10 +90,10 @@
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</select>
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<select id="summaryCountSingleDate" resultType="com.czg.order.vo.SaleSummaryCountVo">
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SELECT
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sum(tb_shop_prod_statistic.sale_count) AS saleCount,
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sum(tb_shop_prod_statistic.sale_amount) AS saleAmount,
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sum(tb_shop_prod_statistic.refund_count) AS refundCount,
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sum(tb_shop_prod_statistic.refund_amount) AS refundAmount
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sum(statistic.sale_count) AS saleCount,
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sum(statistic.sale_amount) AS saleAmount,
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sum(statistic.refund_count) AS refundCount,
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sum(statistic.refund_amount) AS refundAmount
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FROM
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tb_shop_prod_statistic statistic
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INNER JOIN tb_product prod ON tb_shop_prod_statistic.prod_id = prod.id
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@@ -107,10 +107,10 @@
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<select id="summaryCountDateRange" resultType="com.czg.order.vo.SaleSummaryCountVo">
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SELECT
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sum(tb_shop_prod_statistic.sale_count) AS saleCount,
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sum(tb_shop_prod_statistic.sale_amount) AS totalAmount,
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sum(tb_shop_prod_statistic.refund_count) AS refundCount,
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sum(tb_shop_prod_statistic.refund_amount) AS refundAmount
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sum(statistic.sale_count) AS saleCount,
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sum(statistic.sale_amount) AS totalAmount,
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sum(statistic.refund_count) AS refundCount,
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sum(statistic.refund_amount) AS refundAmount
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FROM
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tb_shop_prod_statistic statistic
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INNER JOIN tb_product prod ON statistic.prod_id = prod.id
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