src/controller/order.controller.ts

@@ -252,4 +252,21 @@ export class OrderController {
       return errorResponse(error?.message || '获取失败');
     }
   }
+
+
+  @ApiOkResponse()
+  @Get('/order/export')
+  async exportOrder(
+    @Query() queryParams: any
+  ) {
+    // 处理 ids 参数，支持多种格式：ids=1,2,3、ids[]=1&ids[]=2、ids=1
+   
+    try {
+      const csv = await this.orderService.exportOrder(queryParams?.ids);
+      // 返回CSV内容给前端，由前端决定是否下载
+      return successResponse({ csv });
+    } catch (error) {
+      return errorResponse(error?.message || '导出失败');
+    }
+  }
 }

src/dto/statistics.dto.ts

@@ -33,4 +33,8 @@ export class OrderStatisticsParams {
   @ApiProperty({ enum: ['all', 'zyn', 'yoone', 'zolt'], default: 'all' })
   @Rule(RuleType.string().valid('all', 'zyn', 'yoone', 'zolt'))
   brand: string;
+
+  @ApiProperty({ enum: ['day', 'week', 'month'], default: 'day' })
+  @Rule(RuleType.string().valid('day', 'week', 'month'))
+  grouping: string;
 }

src/service/order.service.ts

@@ -33,7 +33,9 @@ import { ShipmentItem } from '../entity/shipment_item.entity';
 import { UpdateStockDTO } from '../dto/stock.dto';
 import { StockService } from './stock.service';
 import { OrderItemOriginal } from '../entity/order_item_original.entity';
-
+import * as fs from 'fs';
+import * as path from 'path';
+import * as os from 'os';
 @Provide()
 export class OrderService {
 
@@ -1702,4 +1704,204 @@ export class OrderService {
     }
   }
 
+
+
+  async exportOrder(ids: number[]) {
+    // 日期	订单号	姓名地址	邮箱	号码	订单内容	盒数	换盒数	换货内容	快递号
+    interface ExportData {
+      '日期': string;
+      '订单号': string;
+      '姓名地址': string;
+      '邮箱': string;
+      '号码': string;
+      '订单内容': string;
+      '盒数': number;
+      '换盒数': number;
+      '换货内容': string;
+      '快递号': string;
+    }
+
+    try {
+      // 空值检查
+      const dataSource = this.dataSourceManager.getDataSource('default');
+      
+      // 优化事务使用
+      return await dataSource.transaction(async manager => {
+        // 准备查询条件
+        const whereCondition: any = {};
+        if (ids && ids.length > 0) {
+          whereCondition.id = In(ids);
+        }
+
+        // 获取订单、订单项和物流信息
+        const orders = await manager.getRepository(Order).find({
+          where: whereCondition,
+          relations: ['shipment']
+        });
+
+        if (orders.length === 0) {
+          throw new Error('未找到匹配的订单');
+        }
+
+        // 获取所有订单ID
+        const orderIds = orders.map(order => order.id);
+        
+        // 获取所有订单项
+        const orderItems = await manager.getRepository(OrderItem).find({
+          where: {
+            orderId: In(orderIds)
+          }
+        });
+
+        // 按订单ID分组订单项
+        const orderItemsByOrderId = orderItems.reduce((acc, item) => {
+          if (!acc[item.orderId]) {
+            acc[item.orderId] = [];
+          }
+          acc[item.orderId].push(item);
+          return acc;
+        }, {} as Record<number, OrderItem[]>);
+
+        // 构建导出数据
+        const exportDataList: ExportData[] = orders.map(order => {
+          // 获取订单的订单项
+          const items = orderItemsByOrderId[order.id] || [];
+          
+          // 计算总盒数
+          const boxCount = items.reduce((total, item) => total + item.quantity, 0);
+          
+          // 构建订单内容
+          const orderContent = items.map(item => `${item.name} (${item.sku || ''}) x ${item.quantity}`).join('; ');
+          
+          // 构建姓名地址
+          const shipping = order.shipping;
+          const billing = order.billing;
+          const firstName = shipping?.first_name || billing?.first_name || '';
+          const lastName = shipping?.last_name || billing?.last_name || '';
+          const name = `${firstName} ${lastName}`.trim() || '';
+          const address = shipping?.address_1 || billing?.address_1 || '';
+          const address2 = shipping?.address_2 || billing?.address_2 || '';
+          const city = shipping?.city || billing?.city || '';
+          const state = shipping?.state || billing?.state || '';
+          const postcode = shipping?.postcode || billing?.postcode || '';
+          const country = shipping?.country || billing?.country || '';
+          const nameAddress = `${name} ${address} ${address2} ${city} ${state} ${postcode} ${country}`;
+          
+          // 获取电话号码
+          const phone = shipping?.phone || billing?.phone || '';
+          
+          // 获取快递号
+          const trackingNumber = order.shipment?.tracking_id || '';
+
+          // 暂时没有换货相关数据，默认为0和空字符串
+          const exchangeBoxCount = 0;
+          const exchangeContent = '';
+
+          return {
+            '日期': order.date_created?.toISOString().split('T')[0] || '',
+            '订单号': order.externalOrderId || '',
+            '姓名地址': nameAddress,
+            '邮箱': order.customer_email || '',
+            '号码': phone,
+            '订单内容': orderContent,
+            '盒数': boxCount,
+            '换盒数': exchangeBoxCount,
+            '换货内容': exchangeContent,
+            '快递号': trackingNumber
+          };
+        });
+
+        // 返回CSV字符串内容给前端
+        const csvContent = await this.exportToCsv(exportDataList, { type: 'string' });
+        return csvContent;
+      });
+    } catch (error) {
+      throw new Error(`导出订单失败:${error.message}`);
+    }
+  }
+
+
+  /**
+   * 导出数据为CSV格式
+   * @param {any[]} data 数据数组
+   * @param {Object} options 配置选项
+   * @param {string} [options.type='string'] 输出类型：'string' | 'buffer'
+   * @param {string} [options.fileName] 文件名（仅当需要写入文件时使用）
+   * @param {boolean} [options.writeFile=false] 是否写入文件
+   * @returns {string|Buffer} 根据type返回字符串或Buffer
+   */
+async exportToCsv(data: any[], options: { type?: 'string' | 'buffer'; fileName?: string; writeFile?: boolean } = {}): Promise<string | Buffer> {
+  try {
+    // 检查数据是否为空
+    if (!data || data.length === 0) {
+      throw new Error('导出数据不能为空');
+    }
+
+    const { type = 'string', fileName, writeFile = false } = options;
+
+    // 生成表头
+    const headers = Object.keys(data[0]);
+    let csvContent = headers.join(',') + '\n';
+    
+    // 处理数据行
+    data.forEach(item => {
+      const row = headers.map(key => {
+        const value = item[key as keyof any];
+        // 处理特殊字符
+        if (typeof value === 'string') {
+          // 转义双引号，将"替换为""
+          const escapedValue = value.replace(/"/g, '""');
+          // 如果包含逗号或换行符，需要用双引号包裹
+          if (escapedValue.includes(',') || escapedValue.includes('\n')) {
+            return `"${escapedValue}"`;
+          }
+          return escapedValue;
+        }
+        // 处理日期类型
+        if (value instanceof Date) {
+          return value.toISOString();
+        }
+        // 处理undefined和null
+        if (value === undefined || value === null) {
+          return '';
+        }
+        return String(value);
+      }).join(',');
+      csvContent += row + '\n';
+    });
+    
+    // 如果需要写入文件
+    if (writeFile && fileName) {
+      // 获取当前用户目录
+      const userHomeDir = os.homedir();
+      
+      // 构建目标路径（下载目录）
+      const downloadsDir = path.join(userHomeDir, 'Downloads');
+      
+      // 确保下载目录存在
+      if (!fs.existsSync(downloadsDir)) {
+        fs.mkdirSync(downloadsDir, { recursive: true });
+      }
+      
+      const filePath = path.join(downloadsDir, fileName);
+      
+      // 写入文件
+      fs.writeFileSync(filePath, csvContent, 'utf8');
+      
+      console.log(`数据已成功导出至 ${filePath}`);
+      return filePath;
+    }
+    
+    // 根据类型返回不同结果
+    if (type === 'buffer') {
+      return Buffer.from(csvContent, 'utf8');
+    }
+    
+    return csvContent;
+  } catch (error) {
+    console.error('导出CSV时出错:', error);
+    throw new Error(`导出CSV文件失败: ${error.message}`);
+  }
+}
+
 }

src/service/site.service.ts

@@ -22,6 +22,10 @@ export class SiteService {
   async syncFromConfig(sites: WpSite[] = []) {
     // 将配置中的 WpSite 同步到数据库 Site 表(用于一次性导入或初始化)
     for (const siteConfig of sites) {
+       if (!siteConfig.name) {
+        console.warn('跳过空名称的站点配置');
+        continue;
+      }
       // 按站点名称查询是否已存在记录
       const exist = await this.siteModel.findOne({
         where: { name: siteConfig.name },

src/service/statistics.service.ts

@@ -15,12 +15,14 @@ export class StatisticsService {
   orderItemRepository: Repository<OrderItem>;
 
   async getOrderStatistics(params: OrderStatisticsParams) {
-    const { startDate, endDate, siteId } = params;
+    const { startDate, endDate, siteId ,grouping} = params;
     // const keywords = keyword ? keyword.split(' ').filter(Boolean) : [];
     const start = dayjs(startDate).format('YYYY-MM-DD');
     const end = dayjs(endDate).add(1, 'd').format('YYYY-MM-DD');
-    let sql = `
+    
-    WITH first_order AS (
+    let sql = '';
+    if (!grouping || grouping === 'day') {
+      sql = `WITH first_order AS (
         SELECT customer_email, MIN(date_paid) AS first_purchase_date
         FROM \`order\`
         GROUP BY customer_email
@@ -214,6 +216,393 @@ export class StatisticsService {
       dt.can_total_orders
     ORDER BY d.order_date DESC;
   `;
+  }else if (grouping === 'week') {
+    sql = `WITH first_order AS (
+      SELECT customer_email, MIN(date_paid) AS first_purchase_date
+      FROM \`order\`
+      GROUP BY customer_email
+    ),
+    weekly_orders AS (
+      SELECT
+        o.id AS order_id,
+        DATE_FORMAT(o.date_paid, '%Y-%u') AS order_date,
+        o.customer_email,
+        o.total,
+        o.source_type,
+        o.utm_source,
+        o.siteId,
+        CASE
+          WHEN o.date_paid = f.first_purchase_date THEN 'first_purchase'
+          ELSE 'repeat_purchase'
+        END AS purchase_type,
+        CASE
+          WHEN o.source_type = 'utm' AND o.utm_source = 'google' THEN 'cpc'
+          ELSE 'non_cpc'
+        END AS order_type,
+        MAX(CASE WHEN oi.name LIKE '%zyn%' THEN 'zyn' ELSE 'non_zyn' END) AS zyn_type,
+        MAX(CASE WHEN oi.name LIKE '%yoone%' THEN 'yoone' ELSE 'non_yoone' END) AS yoone_type,
+        MAX(CASE WHEN oi.name LIKE '%zex%' THEN 'zex' ELSE 'non_zex' END) AS zex_type
+      FROM \`order\` o
+      LEFT JOIN first_order f ON o.customer_email = f.customer_email
+      LEFT JOIN order_item oi ON o.id = oi.orderId
+      WHERE o.date_paid IS NOT NULL
+        AND o.date_paid >= '${start}' AND o.date_paid < '${end}'
+        AND o.status IN ('processing','completed')
+      GROUP BY o.id, o.date_paid, o.customer_email, o.total, o.source_type, o.siteId, o.utm_source
+    ),
+    order_sales_summary AS (
+        SELECT
+            orderId,
+            SUM(CASE WHEN name LIKE '%zyn%' THEN quantity ELSE 0 END) AS zyn_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' THEN quantity ELSE 0 END) AS yoone_quantity,
+            SUM(CASE WHEN name LIKE '%zex%' THEN quantity ELSE 0 END) AS zex_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND isPackage = 1 THEN quantity ELSE 0 END) AS yoone_G_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND isPackage = 0 THEN quantity ELSE 0 END) AS yoone_S_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%3%' THEN quantity ELSE 0 END) AS yoone_3_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%6%' THEN quantity ELSE 0 END) AS yoone_6_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%9%' THEN quantity ELSE 0 END) AS yoone_9_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%12%' THEN quantity ELSE 0 END) AS yoone_12_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%15%' THEN quantity ELSE 0 END) AS yoone_15_quantity
+        FROM order_sale
+        GROUP BY orderId
+    ),
+    order_items_summary AS (
+        SELECT
+            orderId,
+            SUM(CASE WHEN name LIKE '%zyn%' THEN total + total_tax ELSE 0 END) AS zyn_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' THEN total + total_tax ELSE 0 END) AS yoone_amount,
+            SUM(CASE WHEN name LIKE '%zex%' THEN total + total_tax ELSE 0 END) AS zex_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%package%' THEN total + total_tax ELSE 0 END) AS yoone_G_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name NOT LIKE '%package%' THEN total + total_tax ELSE 0 END) AS yoone_S_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%3%' THEN total + total_tax ELSE 0 END) AS yoone_3_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%6%' THEN total + total_tax ELSE 0 END) AS yoone_6_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%9%' THEN total + total_tax ELSE 0 END) AS yoone_9_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%12%' THEN total + total_tax ELSE 0 END) AS yoone_12_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%15%' THEN total + total_tax ELSE 0 END) AS yoone_15_amount
+        FROM order_item
+        GROUP BY orderId
+    ),
+    weekly_totals AS (
+      SELECT order_date, SUM(total) AS total_amount,
+        SUM(CASE WHEN siteId = 1 THEN total ELSE 0 END) AS togo_total_amount,
+        SUM(CASE WHEN siteId = 2 THEN total ELSE 0 END) AS can_total_amount,
+        COUNT(DISTINCT order_id) AS total_orders,
+        COUNT(DISTINCT CASE WHEN siteId = 1 THEN order_id END) AS togo_total_orders,
+        COUNT(DISTINCT CASE WHEN siteId = 2 THEN order_id END) AS can_total_orders,
+        SUM(CASE WHEN purchase_type = 'first_purchase' THEN total ELSE 0 END) AS first_purchase_total,
+        SUM(CASE WHEN purchase_type = 'repeat_purchase' THEN total ELSE 0 END) AS repeat_purchase_total,
+        SUM(CASE WHEN order_type = 'cpc' THEN total ELSE 0 END) AS cpc_total,
+        SUM(CASE WHEN order_type = 'non_cpc' THEN total ELSE 0 END) AS non_cpc_total,
+        SUM(CASE WHEN zyn_type = 'zyn' AND order_type = 'cpc' THEN total ELSE 0 END) AS zyn_total,
+        SUM(CASE WHEN zyn_type = 'zyn' AND order_type = 'non_cpc' THEN total ELSE 0 END) AS non_zyn_total,
+        SUM(CASE WHEN yoone_type = 'yoone' AND order_type = 'cpc' THEN total ELSE 0 END) AS yoone_total,
+        SUM(CASE WHEN yoone_type = 'yoone' AND order_type = 'non_cpc' THEN total ELSE 0 END) AS non_yoone_total,
+        SUM(CASE WHEN zex_type = 'zex' AND order_type = 'cpc' THEN total ELSE 0 END) AS zex_total,
+        SUM(CASE WHEN zex_type = 'zex' AND order_type = 'non_cpc' THEN total ELSE 0 END) AS non_zex_total,
+        SUM(CASE WHEN source_type = 'typein' THEN total ELSE 0 END) AS direct_total,
+        SUM(CASE WHEN source_type = 'organic' THEN total ELSE 0 END) AS organic_total
+        FROM weekly_orders
+        GROUP BY order_date
+    )
+    SELECT
+      wt.order_date,
+      COUNT(DISTINCT CASE WHEN wo.purchase_type = 'first_purchase' THEN wo.order_id END) AS first_purchase_orders,
+      COUNT(DISTINCT CASE WHEN wo.purchase_type = 'repeat_purchase' THEN wo.order_id END) AS repeat_purchase_orders,
+      COUNT(DISTINCT CASE WHEN wo.order_type = 'cpc' THEN wo.order_id END) AS cpc_orders,
+      COUNT(DISTINCT CASE WHEN wo.order_type = 'cpc' AND wo.siteId = 1 THEN wo.order_id END) AS togo_cpc_orders,
+      COUNT(DISTINCT CASE WHEN wo.order_type = 'cpc' AND wo.siteId = 2 THEN wo.order_id END) AS can_cpc_orders,
+      COUNT(DISTINCT CASE WHEN wo.order_type = 'non_cpc' THEN wo.order_id END) AS non_cpc_orders,
+      COUNT(DISTINCT CASE WHEN wo.order_type = 'non_cpc' AND wo.siteId = 1 THEN wo.order_id END) AS non_togo_cpc_orders,
+      COUNT(DISTINCT CASE WHEN wo.order_type = 'non_cpc' AND wo.siteId = 2 THEN wo.order_id END) AS non_can_cpc_orders,
+      COUNT(DISTINCT CASE WHEN wo.zyn_type = 'zyn' AND wo.order_type = 'cpc' THEN wo.order_id END) AS zyn_orders,
+      COUNT(DISTINCT CASE WHEN wo.zyn_type = 'zyn' AND wo.order_type = 'non_cpc' THEN wo.order_id END) AS non_zyn_orders,
+      COUNT(DISTINCT CASE WHEN wo.yoone_type = 'yoone' AND wo.order_type = 'cpc' THEN wo.order_id END) AS yoone_orders,
+      COUNT(DISTINCT CASE WHEN wo.yoone_type = 'yoone' AND wo.order_type = 'non_cpc' THEN wo.order_id END) AS non_yoone_orders,
+      COUNT(DISTINCT CASE WHEN wo.zex_type = 'zex' AND wo.order_type = 'cpc' THEN wo.order_id END) AS zex_orders,
+      COUNT(DISTINCT CASE WHEN wo.zex_type = 'zex' AND wo.order_type = 'non_cpc' THEN wo.order_id END) AS non_zex_orders,
+      COUNT(DISTINCT CASE WHEN wo.source_type = 'typein' THEN wo.order_id END) AS direct_orders,
+      COUNT(DISTINCT CASE WHEN wo.source_type = 'organic' THEN wo.order_id END) AS organic_orders,
+      wt.total_orders,
+      wt.togo_total_orders,
+      wt.can_total_orders,
+      wt.total_amount,
+      wt.togo_total_amount,
+      wt.can_total_amount,
+      wt.first_purchase_total,
+      wt.repeat_purchase_total,
+      wt.cpc_total,
+      wt.non_cpc_total,
+      wt.zyn_total,
+      wt.non_zyn_total,
+      wt.yoone_total,
+      wt.non_yoone_total,
+      wt.zex_total,
+      wt.non_zex_total,
+      wt.direct_total,
+      wt.organic_total,
+      COALESCE(SUM(os.zyn_quantity), 0) AS zyn_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.zyn_quantity ELSE 0 END)  AS cpc_zyn_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.zyn_quantity ELSE 0 END)  AS non_cpc_zyn_quantity,
+      COALESCE(SUM(os.yoone_quantity), 0) AS yoone_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_quantity ELSE 0 END)  AS cpc_yoone_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_quantity ELSE 0 END)  AS non_cpc_yoone_quantity,
+      COALESCE(SUM(os.yoone_G_quantity), 0) AS yoone_G_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_G_quantity ELSE 0 END)  AS cpc_yoone_G_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_G_quantity ELSE 0 END)  AS non_cpc_yoone_G_quantity,
+      COALESCE(SUM(os.yoone_S_quantity), 0) AS yoone_S_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_S_quantity ELSE 0 END)  AS cpc_yoone_S_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_S_quantity ELSE 0 END)  AS non_cpc_yoone_S_quantity,
+      COALESCE(SUM(os.yoone_3_quantity), 0) AS yoone_3_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_3_quantity ELSE 0 END)  AS cpc_yoone_3_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_3_quantity ELSE 0 END)  AS non_cpc_yoone_3_quantity,
+      COALESCE(SUM(os.yoone_6_quantity), 0) AS yoone_6_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_6_quantity ELSE 0 END)  AS cpc_yoone_6_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_6_quantity ELSE 0 END)  AS non_cpc_yoone_6_quantity,
+      COALESCE(SUM(os.yoone_9_quantity), 0) AS yoone_9_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_9_quantity ELSE 0 END)  AS cpc_yoone_9_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_9_quantity ELSE 0 END)  AS non_cpc_yoone_9_quantity,
+      COALESCE(SUM(os.yoone_12_quantity), 0) AS yoone_12_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_12_quantity ELSE 0 END)  AS cpc_yoone_12_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_12_quantity ELSE 0 END)  AS non_cpc_yoone_12_quantity,
+      COALESCE(SUM(os.yoone_15_quantity), 0) AS yoone_15_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_15_quantity ELSE 0 END)  AS cpc_yoone_15_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_15_quantity ELSE 0 END)  AS non_cpc_yoone_15_quantity,
+      COALESCE(SUM(os.zex_quantity), 0) AS zex_quantity,
+      SUM(CASE WHEN wo.order_type = 'cpc' THEN os.zex_quantity ELSE 0 END)  AS cpc_zex_quantity,
+      SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.zex_quantity ELSE 0 END)  AS non_cpc_zex_quantity,
+      COALESCE(SUM(oi.zyn_amount), 0) AS zyn_amount,
+      COALESCE(SUM(oi.yoone_amount), 0) AS yoone_amount,
+      COALESCE(SUM(oi.zex_amount), 0) AS zex_amount,
+      COALESCE(SUM(oi.yoone_G_amount), 0) AS yoone_G_amount,
+      COALESCE(SUM(oi.yoone_S_amount), 0) AS yoone_S_amount,
+      COALESCE(SUM(oi.yoone_3_amount), 0) AS yoone_3_amount,
+      COALESCE(SUM(oi.yoone_6_amount), 0) AS yoone_6_amount,
+      COALESCE(SUM(oi.yoone_9_amount), 0) AS yoone_9_amount,
+      COALESCE(SUM(oi.yoone_12_amount), 0) AS yoone_12_amount,
+      COALESCE(SUM(oi.yoone_15_amount), 0) AS yoone_15_amount,
+      ROUND(COALESCE(wt.total_amount / wt.total_orders, 0), 2) AS avg_total_amount,
+      ROUND(COALESCE(wt.togo_total_amount / wt.togo_total_orders, 0), 2) AS avg_togo_total_amount,
+      ROUND(COALESCE(wt.can_total_amount / wt.can_total_orders, 0), 2) AS avg_can_total_amount
+    FROM weekly_orders wo
+    LEFT JOIN weekly_totals wt ON wo.order_date = wt.order_date
+    LEFT JOIN order_sales_summary os ON wo.order_id = os.orderId
+    LEFT JOIN order_items_summary oi ON wo.order_id = oi.orderId
+    GROUP BY
+      wt.order_date,
+      wt.total_amount,
+      wt.togo_total_amount,
+      wt.can_total_amount,
+      wt.first_purchase_total,
+      wt.repeat_purchase_total,
+      wt.cpc_total,
+      wt.non_cpc_total,
+      wt.zyn_total,
+      wt.non_zyn_total,
+      wt.yoone_total,
+      wt.non_yoone_total,
+      wt.zex_total,
+      wt.non_zex_total,
+      wt.direct_total,
+      wt.organic_total,
+      wt.total_orders,
+      wt.togo_total_orders,
+      wt.can_total_orders
+    ORDER BY wt.order_date DESC;
+  `;
+  }else if (grouping === 'month') {
+    sql = `WITH first_order AS (
+      SELECT customer_email, MIN(date_paid) AS first_purchase_date
+      FROM \`order\`
+      GROUP BY customer_email
+    ),
+    monthly_orders AS (
+      SELECT
+        o.id AS order_id,
+        DATE_FORMAT(o.date_paid, '%Y-%m') AS order_date,
+        o.customer_email,
+        o.total,
+        o.source_type,
+        o.utm_source,
+        o.siteId,
+        CASE
+          WHEN o.date_paid = f.first_purchase_date THEN 'first_purchase'
+          ELSE 'repeat_purchase'
+        END AS purchase_type,
+        CASE
+          WHEN o.source_type = 'utm' AND o.utm_source = 'google' THEN 'cpc'
+          ELSE 'non_cpc'
+        END AS order_type,
+        MAX(CASE WHEN oi.name LIKE '%zyn%' THEN 'zyn' ELSE 'non_zyn' END) AS zyn_type,
+        MAX(CASE WHEN oi.name LIKE '%yoone%' THEN 'yoone' ELSE 'non_yoone' END) AS yoone_type,
+        MAX(CASE WHEN oi.name LIKE '%zex%' THEN 'zex' ELSE 'non_zex' END) AS zex_type
+      FROM \`order\` o
+      LEFT JOIN first_order f ON o.customer_email = f.customer_email
+      LEFT JOIN order_item oi ON o.id = oi.orderId
+      WHERE o.date_paid IS NOT NULL
+        AND o.date_paid >= '${start}' AND o.date_paid < '${end}'
+        AND o.status IN ('processing','completed')
+      GROUP BY o.id, o.date_paid, o.customer_email, o.total, o.source_type, o.siteId, o.utm_source
+    ),
+    order_sales_summary AS (
+        SELECT
+            orderId,
+            SUM(CASE WHEN name LIKE '%zyn%' THEN quantity ELSE 0 END) AS zyn_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' THEN quantity ELSE 0 END) AS yoone_quantity,
+            SUM(CASE WHEN name LIKE '%zex%' THEN quantity ELSE 0 END) AS zex_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND isPackage = 1 THEN quantity ELSE 0 END) AS yoone_G_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND isPackage = 0 THEN quantity ELSE 0 END) AS yoone_S_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%3%' THEN quantity ELSE 0 END) AS yoone_3_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%6%' THEN quantity ELSE 0 END) AS yoone_6_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%9%' THEN quantity ELSE 0 END) AS yoone_9_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%12%' THEN quantity ELSE 0 END) AS yoone_12_quantity,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%15%' THEN quantity ELSE 0 END) AS yoone_15_quantity
+        FROM order_sale
+        GROUP BY orderId
+    ),
+    order_items_summary AS (
+        SELECT
+            orderId,
+            SUM(CASE WHEN name LIKE '%zyn%' THEN total + total_tax ELSE 0 END) AS zyn_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' THEN total + total_tax ELSE 0 END) AS yoone_amount,
+            SUM(CASE WHEN name LIKE '%zex%' THEN total + total_tax ELSE 0 END) AS zex_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%package%' THEN total + total_tax ELSE 0 END) AS yoone_G_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name NOT LIKE '%package%' THEN total + total_tax ELSE 0 END) AS yoone_S_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%3%' THEN total + total_tax ELSE 0 END) AS yoone_3_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%6%' THEN total + total_tax ELSE 0 END) AS yoone_6_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%9%' THEN total + total_tax ELSE 0 END) AS yoone_9_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%12%' THEN total + total_tax ELSE 0 END) AS yoone_12_amount,
+            SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%15%' THEN total + total_tax ELSE 0 END) AS yoone_15_amount
+        FROM order_item
+        GROUP BY orderId
+    ),
+    monthly_totals AS (
+      SELECT order_date, SUM(total) AS total_amount,
+        SUM(CASE WHEN siteId = 1 THEN total ELSE 0 END) AS togo_total_amount,
+        SUM(CASE WHEN siteId = 2 THEN total ELSE 0 END) AS can_total_amount,
+        COUNT(DISTINCT order_id) AS total_orders,
+        COUNT(DISTINCT CASE WHEN siteId = 1 THEN order_id END) AS togo_total_orders,
+        COUNT(DISTINCT CASE WHEN siteId = 2 THEN order_id END) AS can_total_orders,
+        SUM(CASE WHEN purchase_type = 'first_purchase' THEN total ELSE 0 END) AS first_purchase_total,
+        SUM(CASE WHEN purchase_type = 'repeat_purchase' THEN total ELSE 0 END) AS repeat_purchase_total,
+        SUM(CASE WHEN order_type = 'cpc' THEN total ELSE 0 END) AS cpc_total,
+        SUM(CASE WHEN order_type = 'non_cpc' THEN total ELSE 0 END) AS non_cpc_total,
+        SUM(CASE WHEN zyn_type = 'zyn' AND order_type = 'cpc' THEN total ELSE 0 END) AS zyn_total,
+        SUM(CASE WHEN zyn_type = 'zyn' AND order_type = 'non_cpc' THEN total ELSE 0 END) AS non_zyn_total,
+        SUM(CASE WHEN yoone_type = 'yoone' AND order_type = 'cpc' THEN total ELSE 0 END) AS yoone_total,
+        SUM(CASE WHEN yoone_type = 'yoone' AND order_type = 'non_cpc' THEN total ELSE 0 END) AS non_yoone_total,
+        SUM(CASE WHEN zex_type = 'zex' AND order_type = 'cpc' THEN total ELSE 0 END) AS zex_total,
+        SUM(CASE WHEN zex_type = 'zex' AND order_type = 'non_cpc' THEN total ELSE 0 END) AS non_zex_total,
+        SUM(CASE WHEN source_type = 'typein' THEN total ELSE 0 END) AS direct_total,
+        SUM(CASE WHEN source_type = 'organic' THEN total ELSE 0 END) AS organic_total
+        FROM monthly_orders
+        GROUP BY order_date
+    )
+    SELECT
+      mt.order_date,
+      COUNT(DISTINCT CASE WHEN mo.purchase_type = 'first_purchase' THEN mo.order_id END) AS first_purchase_orders,
+      COUNT(DISTINCT CASE WHEN mo.purchase_type = 'repeat_purchase' THEN mo.order_id END) AS repeat_purchase_orders,
+      COUNT(DISTINCT CASE WHEN mo.order_type = 'cpc' THEN mo.order_id END) AS cpc_orders,
+      COUNT(DISTINCT CASE WHEN mo.order_type = 'cpc' AND mo.siteId = 1 THEN mo.order_id END) AS togo_cpc_orders,
+      COUNT(DISTINCT CASE WHEN mo.order_type = 'cpc' AND mo.siteId = 2 THEN mo.order_id END) AS can_cpc_orders,
+      COUNT(DISTINCT CASE WHEN mo.order_type = 'non_cpc' THEN mo.order_id END) AS non_cpc_orders,
+      COUNT(DISTINCT CASE WHEN mo.order_type = 'non_cpc' AND mo.siteId = 1 THEN mo.order_id END) AS non_togo_cpc_orders,
+      COUNT(DISTINCT CASE WHEN mo.order_type = 'non_cpc' AND mo.siteId = 2 THEN mo.order_id END) AS non_can_cpc_orders,
+      COUNT(DISTINCT CASE WHEN mo.zyn_type = 'zyn' AND mo.order_type = 'cpc' THEN mo.order_id END) AS zyn_orders,
+      COUNT(DISTINCT CASE WHEN mo.zyn_type = 'zyn' AND mo.order_type = 'non_cpc' THEN mo.order_id END) AS non_zyn_orders,
+      COUNT(DISTINCT CASE WHEN mo.yoone_type = 'yoone' AND mo.order_type = 'cpc' THEN mo.order_id END) AS yoone_orders,
+      COUNT(DISTINCT CASE WHEN mo.yoone_type = 'yoone' AND mo.order_type = 'non_cpc' THEN mo.order_id END) AS non_yoone_orders,
+      COUNT(DISTINCT CASE WHEN mo.zex_type = 'zex' AND mo.order_type = 'cpc' THEN mo.order_id END) AS zex_orders,
+      COUNT(DISTINCT CASE WHEN mo.zex_type = 'zex' AND mo.order_type = 'non_cpc' THEN mo.order_id END) AS non_zex_orders,
+      COUNT(DISTINCT CASE WHEN mo.source_type = 'typein' THEN mo.order_id END) AS direct_orders,
+      COUNT(DISTINCT CASE WHEN mo.source_type = 'organic' THEN mo.order_id END) AS organic_orders,
+      mt.total_orders,
+      mt.togo_total_orders,
+      mt.can_total_orders,
+      mt.total_amount,
+      mt.togo_total_amount,
+      mt.can_total_amount,
+      mt.first_purchase_total,
+      mt.repeat_purchase_total,
+      mt.cpc_total,
+      mt.non_cpc_total,
+      mt.zyn_total,
+      mt.non_zyn_total,
+      mt.yoone_total,
+      mt.non_yoone_total,
+      mt.zex_total,
+      mt.non_zex_total,
+      mt.direct_total,
+      mt.organic_total,
+      COALESCE(SUM(os.zyn_quantity), 0) AS zyn_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.zyn_quantity ELSE 0 END)  AS cpc_zyn_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.zyn_quantity ELSE 0 END)  AS non_cpc_zyn_quantity,
+      COALESCE(SUM(os.yoone_quantity), 0) AS yoone_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.yoone_quantity ELSE 0 END)  AS cpc_yoone_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.yoone_quantity ELSE 0 END)  AS non_cpc_yoone_quantity,
+      COALESCE(SUM(os.yoone_G_quantity), 0) AS yoone_G_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.yoone_G_quantity ELSE 0 END)  AS cpc_yoone_G_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.yoone_G_quantity ELSE 0 END)  AS non_cpc_yoone_G_quantity,
+      COALESCE(SUM(os.yoone_S_quantity), 0) AS yoone_S_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.yoone_S_quantity ELSE 0 END)  AS cpc_yoone_S_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.yoone_S_quantity ELSE 0 END)  AS non_cpc_yoone_S_quantity,
+      COALESCE(SUM(os.yoone_3_quantity), 0) AS yoone_3_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.yoone_3_quantity ELSE 0 END)  AS cpc_yoone_3_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.yoone_3_quantity ELSE 0 END)  AS non_cpc_yoone_3_quantity,
+      COALESCE(SUM(os.yoone_6_quantity), 0) AS yoone_6_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.yoone_6_quantity ELSE 0 END)  AS cpc_yoone_6_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.yoone_6_quantity ELSE 0 END)  AS non_cpc_yoone_6_quantity,
+      COALESCE(SUM(os.yoone_9_quantity), 0) AS yoone_9_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.yoone_9_quantity ELSE 0 END)  AS cpc_yoone_9_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.yoone_9_quantity ELSE 0 END)  AS non_cpc_yoone_9_quantity,
+      COALESCE(SUM(os.yoone_12_quantity), 0) AS yoone_12_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.yoone_12_quantity ELSE 0 END)  AS cpc_yoone_12_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.yoone_12_quantity ELSE 0 END)  AS non_cpc_yoone_12_quantity,
+      COALESCE(SUM(os.yoone_15_quantity), 0) AS yoone_15_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.yoone_15_quantity ELSE 0 END)  AS cpc_yoone_15_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.yoone_15_quantity ELSE 0 END)  AS non_cpc_yoone_15_quantity,
+      COALESCE(SUM(os.zex_quantity), 0) AS zex_quantity,
+      SUM(CASE WHEN mo.order_type = 'cpc' THEN os.zex_quantity ELSE 0 END)  AS cpc_zex_quantity,
+      SUM(CASE WHEN mo.order_type = 'non_cpc' THEN os.zex_quantity ELSE 0 END)  AS non_cpc_zex_quantity,
+      COALESCE(SUM(oi.zyn_amount), 0) AS zyn_amount,
+      COALESCE(SUM(oi.yoone_amount), 0) AS yoone_amount,
+      COALESCE(SUM(oi.zex_amount), 0) AS zex_amount,
+      COALESCE(SUM(oi.yoone_G_amount), 0) AS yoone_G_amount,
+      COALESCE(SUM(oi.yoone_S_amount), 0) AS yoone_S_amount,
+      COALESCE(SUM(oi.yoone_3_amount), 0) AS yoone_3_amount,
+      COALESCE(SUM(oi.yoone_6_amount), 0) AS yoone_6_amount,
+      COALESCE(SUM(oi.yoone_9_amount), 0) AS yoone_9_amount,
+      COALESCE(SUM(oi.yoone_12_amount), 0) AS yoone_12_amount,
+      COALESCE(SUM(oi.yoone_15_amount), 0) AS yoone_15_amount,
+      ROUND(COALESCE(mt.total_amount / mt.total_orders, 0), 2) AS avg_total_amount,
+      ROUND(COALESCE(mt.togo_total_amount / mt.togo_total_orders, 0), 2) AS avg_togo_total_amount,
+      ROUND(COALESCE(mt.can_total_amount / mt.can_total_orders, 0), 2) AS avg_can_total_amount
+    FROM monthly_orders mo
+    LEFT JOIN monthly_totals mt ON mo.order_date = mt.order_date
+    LEFT JOIN order_sales_summary os ON mo.order_id = os.orderId
+    LEFT JOIN order_items_summary oi ON mo.order_id = oi.orderId
+    GROUP BY
+      mt.order_date,
+      mt.total_amount,
+      mt.togo_total_amount,
+      mt.can_total_amount,
+      mt.first_purchase_total,
+      mt.repeat_purchase_total,
+      mt.cpc_total,
+      mt.non_cpc_total,
+      mt.zyn_total,
+      mt.non_zyn_total,
+      mt.yoone_total,
+      mt.non_yoone_total,
+      mt.zex_total,
+      mt.non_zex_total,
+      mt.direct_total,
+      mt.organic_total,
+      mt.total_orders,
+      mt.togo_total_orders,
+      mt.can_total_orders
+    ORDER BY mt.order_date DESC;
+  `;}
+  
     return this.orderRepository.query(sql);
   }
   // async getOrderStatistics(params: OrderStatisticsParams) {
@@ -656,10 +1045,10 @@ export class StatisticsService {
     const offset = (current - 1) * pageSize;
     const countSql = `
         WITH product_list AS (
-            SELECT DISTINCT s.sku
+            SELECT DISTINCT s.productSku
             FROM stock s
             LEFT JOIN stock_point sp ON s.stockPointId = sp.id
-            LEFT JOIN product p ON s.sku = p.sku
+            LEFT JOIN product p ON s.productSku = p.sku
             WHERE sp.ignore = FALSE
                 ${countnameFilter}
         )
@@ -674,27 +1063,27 @@ export class StatisticsService {
     const sql = `
         WITH stock_summary AS (
             SELECT 
-                s.sku,
+                s.productSku,
                 JSON_ARRAYAGG(JSON_OBJECT('id', sp.id, 'quantity', s.quantity)) AS stockDetails,
                 SUM(s.quantity) AS totalStock,
                 SUM(CASE WHEN sp.inCanada THEN s.quantity ELSE 0 END) AS caTotalStock
             FROM stock s
             JOIN stock_point sp ON s.stockPointId = sp.id
             WHERE sp.ignore = FALSE
-            GROUP BY s.sku
+            GROUP BY s.productSku
         ),
         transfer_stock AS (
             SELECT 
-                ti.sku,
+                ti.productSku,
                 SUM(ti.quantity) AS transitStock
             FROM transfer_item ti
             JOIN transfer t ON ti.transferId = t.id
             WHERE t.isCancel = FALSE AND t.isArrived = FALSE
-            GROUP BY ti.sku
+            GROUP BY ti.productSku
         ),
         30_sales_summary AS (
             SELECT 
-                os.sku AS sku,
+                os.sku AS productSku,
                 SUM(os.quantity) AS totalSales
             FROM order_sale os
             JOIN \`order\` o ON os.orderId = o.id
@@ -704,7 +1093,7 @@ export class StatisticsService {
         ),
         15_sales_summary AS (
             SELECT 
-                os.sku AS sku,
+                os.sku AS productSku,
                 2 * SUM(os.quantity) AS totalSales
             FROM order_sale os
             JOIN \`order\` o ON os.orderId = o.id
@@ -714,36 +1103,36 @@ export class StatisticsService {
         ),
         sales_max_summary AS (
             SELECT 
-                s30.sku AS sku,
+                s30.productSku AS productSku,
                 COALESCE(s30.totalSales, 0) AS totalSales_30,
                 COALESCE(s15.totalSales, 0) AS totalSales_15,
                 GREATEST(COALESCE(s30.totalSales, 0), COALESCE(s15.totalSales, 0)) AS maxSales
             FROM 30_sales_summary s30
             LEFT JOIN 15_sales_summary s15 
-                ON s30.sku = s15.sku
+                ON s30.productSku = s15.productSku
         
             UNION ALL
         
             SELECT 
-                s15.sku AS sku,
+                s15.productSku AS productSku,
                 0 AS totalSales_30,
                 COALESCE(s15.totalSales, 0) AS totalSales_15,
                 COALESCE(s15.totalSales, 0) AS maxSales
             FROM 15_sales_summary s15
             LEFT JOIN 30_sales_summary s30 
-                ON s30.sku = s15.sku
+                ON s30.productSku = s15.productSku
-            WHERE s30.sku IS NULL
+            WHERE s30.productSku IS NULL
         ),
         product_name_summary AS (
             SELECT 
-                p.sku AS sku,
+                p.sku AS productSku,
                 COALESCE(MAX(os.name), MAX(p.name)) AS productName
             FROM product p
             LEFT JOIN order_sale os ON p.sku = os.sku
             GROUP BY p.sku
         )
         SELECT
-            ss.sku,
+            ss.productSku,
             ss.stockDetails,
             COALESCE(ts.transitStock, 0) AS transitStock,
             (COALESCE(ss.totalStock, 0) + COALESCE(ts.transitStock, 0)) AS totalStock,
@@ -761,9 +1150,9 @@ export class StatisticsService {
             sales.maxSales * 4 AS restockQuantity,
             pns.productName
         FROM stock_summary ss
-        LEFT JOIN transfer_stock ts ON ss.sku = ts.sku
+        LEFT JOIN transfer_stock ts ON ss.productSku = ts.productSku
-        LEFT JOIN sales_max_summary sales ON ss.sku = sales.sku
+        LEFT JOIN sales_max_summary sales ON ss.productSku = sales.productSku
-        LEFT JOIN product_name_summary pns ON ss.sku = pns.sku 
+        LEFT JOIN product_name_summary pns ON ss.productSku = pns.productSku 
         WHERE 1 = 1
             ${nameFilter}
         ORDER BY caAvailableDays
@@ -791,10 +1180,10 @@ export class StatisticsService {
     const offset = (current - 1) * pageSize;
     const countSql = `
         WITH product_list AS (
-            SELECT DISTINCT s.sku
+            SELECT DISTINCT s.productSku
             FROM stock s
             LEFT JOIN stock_point sp ON s.stockPointId = sp.id
-            LEFT JOIN product p ON s.sku = p.sku
+            LEFT JOIN product p ON s.productSku = p.sku
             WHERE sp.ignore = FALSE
                 ${countnameFilter}
         )
@@ -810,36 +1199,36 @@ export class StatisticsService {
     const sql = `
       WITH stock_summary AS (
         SELECT 
-            s.sku,
+            s.productSku,
             SUM(s.quantity) AS totalStock
         FROM stock s
         JOIN stock_point sp ON s.stockPointId = sp.id
         WHERE sp.ignore = FALSE
-        GROUP BY s.sku
+        GROUP BY s.productSku
       ),
       transfer_stock AS (
         SELECT 
-            ti.sku,
+            ti.productSku,
             SUM(ti.quantity) AS transitStock
         FROM transfer_item ti
         JOIN transfer t ON ti.transferId = t.id
         WHERE t.isCancel = FALSE AND t.isArrived = FALSE
-        GROUP BY ti.sku
+        GROUP BY ti.productSku
       ),
       b_sales_data_raw As (
         SELECT 
-          sr.sku,
+          sr.productSku,
           DATE_FORMAT(sr.createdAt, '%Y-%m') AS month,
           SUM(sr.quantityChange) AS sales
         FROM stock_record sr
         JOIN stock_point sp ON sr.stockPointId = sp.id
         WHERE sp.isB
           AND sr.createdAt >= DATE_FORMAT(NOW() - INTERVAL 2 MONTH, '%Y-%m-01')
-        GROUP BY sr.sku, month
+        GROUP BY sr.productSku, month
       ),
       sales_data_raw AS (
         SELECT 
-            os.sku AS sku,
+            os.sku AS productSku,
             DATE_FORMAT(o.date_paid, '%Y-%m') AS month,
             SUM(CASE WHEN DAY(o.date_paid) <= 10 THEN os.quantity ELSE 0 END) AS early_sales,
             SUM(CASE WHEN DAY(o.date_paid) > 10 AND DAY(o.date_paid) <= 20 THEN os.quantity ELSE 0 END) AS mid_sales,
@@ -852,7 +1241,7 @@ export class StatisticsService {
       ),
       monthly_sales_summary AS (
         SELECT 
-            sdr.sku,
+            sdr.productSku,
             JSON_ARRAYAGG(
                 JSON_OBJECT(
                   'month', sdr.month,
@@ -863,12 +1252,12 @@ export class StatisticsService {
                 )
             ) AS sales_data
         FROM sales_data_raw sdr
-        LEFT JOIN b_sales_data_raw b ON sdr.sku = b.sku AND sdr.month = b.month
+        LEFT JOIN b_sales_data_raw b ON sdr.productSku = b.productSku AND sdr.month = b.month
-        GROUP BY sdr.sku
+        GROUP BY sdr.productSku
       ),
       sales_summary AS (
         SELECT 
-          os.sku AS sku,
+          os.sku AS productSku,
           SUM(CASE WHEN o.date_paid >= CURDATE() - INTERVAL 30 DAY THEN os.quantity ELSE 0 END) AS last_30_days_sales,
           SUM(CASE WHEN o.date_paid >= CURDATE() - INTERVAL 15 DAY THEN os.quantity ELSE 0 END) AS last_15_days_sales,
           SUM(CASE WHEN DATE_FORMAT(o.date_paid, '%Y-%m') = DATE_FORMAT(CURDATE() - INTERVAL 1 MONTH, '%Y-%m') THEN os.quantity ELSE 0 END) AS last_month_sales
@@ -880,14 +1269,14 @@ export class StatisticsService {
       ),
       product_name_summary AS (
         SELECT 
-            p.sku AS sku,
+            p.sku AS productSku,
             COALESCE(MAX(os.name), MAX(p.name)) AS productName
         FROM product p
         LEFT JOIN order_sale os ON p.sku = os.sku
         GROUP BY p.sku
       )
       SELECT
-        ss.sku,
+        ss.productSku,
         (COALESCE(ss.totalStock, 0) + COALESCE(ts.transitStock, 0)) AS totalStock,
         ms.sales_data AS monthlySalesData,
         pns.productName,
@@ -900,10 +1289,10 @@ export class StatisticsService {
           ELSE NULL 
         END AS stock_ratio
       FROM stock_summary ss
-      LEFT JOIN transfer_stock ts ON ss.sku = ts.sku
+      LEFT JOIN transfer_stock ts ON ss.productSku = ts.productSku
-      LEFT JOIN monthly_sales_summary ms ON ss.sku = ms.sku
+      LEFT JOIN monthly_sales_summary ms ON ss.productSku = ms.productSku
-      LEFT JOIN product_name_summary pns ON ss.sku = pns.sku
+      LEFT JOIN product_name_summary pns ON ss.productSku = pns.productSku
-      LEFT JOIN sales_summary ssum ON ss.sku = ssum.sku
+      LEFT JOIN sales_summary ssum ON ss.productSku = ssum.productSku
       WHERE 1 = 1
           ${nameFilter}
       ORDER BY 
@@ -933,7 +1322,8 @@ export class StatisticsService {
       user_first_order AS (
         SELECT
           customer_email,
-          DATE_FORMAT(MIN(date_paid), '%Y-%m') AS first_order_month
+          DATE_FORMAT(MIN(date_paid), '%Y-%m') AS first_order_month,
+          SUM(total) AS first_order_total
         FROM \`order\`
         WHERE status IN ('processing', 'completed')
         GROUP BY customer_email
@@ -946,7 +1336,7 @@ export class StatisticsService {
         WHERE status IN ('processing', 'completed')
       ),
       filtered_orders AS (
-        SELECT o.customer_email, o.order_month, u.first_order_month, c.start_month
+        SELECT o.customer_email, o.order_month, u.first_order_month,u.first_order_total, c.start_month
         FROM order_months o
         JOIN user_first_order u ON o.customer_email = u.customer_email
         JOIN cutoff_months c ON 1=1
@@ -958,14 +1348,16 @@ export class StatisticsService {
           CASE 
             WHEN first_order_month < start_month THEN CONCAT('>', start_month)
             ELSE first_order_month
-          END AS first_order_month_group
+          END AS first_order_month_group,
+          first_order_total
         FROM filtered_orders
       ),
       final_counts AS (
         SELECT
           order_month,
           first_order_month_group,
-          COUNT(*) AS order_count
+          COUNT(*) AS order_count,
+          SUM(first_order_total) AS total
         FROM classified
         GROUP BY order_month, first_order_month_group
       )
@@ -985,7 +1377,8 @@ export class StatisticsService {
         SELECT
           customer_email,
           DATE_FORMAT(date_paid, '%Y-%m') AS order_month,
-          date_paid
+          date_paid,
+           total
         FROM \`order\`
         WHERE status IN ('processing', 'completed')
       ),
@@ -998,7 +1391,8 @@ export class StatisticsService {
       monthly_users AS (
         SELECT DISTINCT
           customer_email,
-          order_month
+          order_month,
+          total
         FROM filtered_users
       ),
 
@@ -1011,11 +1405,12 @@ export class StatisticsService {
         GROUP BY customer_email
       ),
 
-      -- 标注每个用户每月是"新客户"还是"老客户"
+      -- 标注每个用户每月是“新客户”还是“老客户”
       labeled_users AS (
         SELECT
           m.customer_email,
           m.order_month,
+          m.total,
           CASE
             WHEN f.first_order_month = m.order_month THEN 'new'
             ELSE 'returning'
@@ -1029,7 +1424,9 @@ export class StatisticsService {
         SELECT
           order_month,
           SUM(CASE WHEN customer_type = 'new' THEN 1 ELSE 0 END) AS new_user_count,
-          SUM(CASE WHEN customer_type = 'returning' THEN 1 ELSE 0 END) AS old_user_count
+          SUM(CASE WHEN customer_type = 'new' THEN total ELSE 0 END) AS new_user_total,
+          SUM(CASE WHEN customer_type = 'returning' THEN 1 ELSE 0 END) AS old_user_count,
+          SUM(CASE WHEN customer_type = 'returning' THEN total ELSE 0 END) AS old_user_total
         FROM labeled_users
         GROUP BY order_month
       ),
@@ -1056,12 +1453,14 @@ export class StatisticsService {
         GROUP BY current_month
       )
 
-      -- 最终结果:每月新客户,老客户,未来未复购客户
+      -- 最终结果：每月新客户、老客户、未来未复购客户
       SELECT
         m.order_month,
         m.new_user_count,
         m.old_user_count,
-        COALESCE(i.inactive_user_count, 0) AS inactive_user_count
+        COALESCE(i.inactive_user_count, 0) AS inactive_user_count,
+        m.new_user_total,
+        m.old_user_total
       FROM monthly_new_old_counts m
       LEFT JOIN users_without_future_orders i
         ON m.order_month = i.order_month