feat: 添加订单导出功能并支持按周/月分组统计
feat(订单): 在订单DTO中添加分组字段 feat(订单服务): 实现订单导出为CSV功能 feat(统计服务): 支持按周/月分组统计订单数据 fix(站点服务): 跳过名称为空的站点配置 chore: 更新gitignore忽略本地配置文件
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c68b7583af
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@ -252,4 +252,21 @@ export class OrderController {
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return errorResponse(error?.message || '获取失败');
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}
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}
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@ApiOkResponse()
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@Get('/order/export')
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async exportOrder(
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@Query() queryParams: any
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) {
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// 处理 ids 参数，支持多种格式：ids=1,2,3、ids[]=1&ids[]=2、ids=1
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try {
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const csv = await this.orderService.exportOrder(queryParams?.ids);
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// 返回CSV内容给前端，由前端决定是否下载
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return successResponse({ csv });
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} catch (error) {
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return errorResponse(error?.message || '导出失败');
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}
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}
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}
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@ -33,4 +33,8 @@ export class OrderStatisticsParams {
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@ApiProperty({ enum: ['all', 'zyn', 'yoone', 'zolt'], default: 'all' })
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@Rule(RuleType.string().valid('all', 'zyn', 'yoone', 'zolt'))
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brand: string;
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@ApiProperty({ enum: ['day', 'week', 'month'], default: 'day' })
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@Rule(RuleType.string().valid('day', 'week', 'month'))
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grouping: string;
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}
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@ -33,7 +33,9 @@ import { ShipmentItem } from '../entity/shipment_item.entity';
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import { UpdateStockDTO } from '../dto/stock.dto';
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import { StockService } from './stock.service';
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import { OrderItemOriginal } from '../entity/order_item_original.entity';
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import * as fs from 'fs';
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import * as path from 'path';
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import * as os from 'os';
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@Provide()
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export class OrderService {
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@ -1702,4 +1704,204 @@ export class OrderService {
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}
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}
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async exportOrder(ids: number[]) {
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// 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
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interface ExportData {
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'日期': string;
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'订单号': string;
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'姓名地址': string;
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'邮箱': string;
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'号码': string;
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'订单内容': string;
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'盒数': number;
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'换盒数': number;
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'换货内容': string;
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'快递号': string;
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}
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try {
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// 空值检查
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const dataSource = this.dataSourceManager.getDataSource('default');
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// 优化事务使用
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return await dataSource.transaction(async manager => {
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// 准备查询条件
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const whereCondition: any = {};
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if (ids && ids.length > 0) {
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whereCondition.id = In(ids);
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}
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// 获取订单、订单项和物流信息
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const orders = await manager.getRepository(Order).find({
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where: whereCondition,
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relations: ['shipment']
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});
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if (orders.length === 0) {
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throw new Error('未找到匹配的订单');
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}
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// 获取所有订单ID
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const orderIds = orders.map(order => order.id);
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// 获取所有订单项
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const orderItems = await manager.getRepository(OrderItem).find({
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where: {
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orderId: In(orderIds)
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}
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});
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// 按订单ID分组订单项
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const orderItemsByOrderId = orderItems.reduce((acc, item) => {
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if (!acc[item.orderId]) {
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acc[item.orderId] = [];
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}
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acc[item.orderId].push(item);
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return acc;
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}, {} as Record<number, OrderItem[]>);
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// 构建导出数据
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const exportDataList: ExportData[] = orders.map(order => {
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// 获取订单的订单项
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const items = orderItemsByOrderId[order.id] || [];
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// 计算总盒数
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const boxCount = items.reduce((total, item) => total + item.quantity, 0);
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// 构建订单内容
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const orderContent = items.map(item => `${item.name} (${item.sku || ''}) x ${item.quantity}`).join('; ');
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// 构建姓名地址
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const shipping = order.shipping;
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const billing = order.billing;
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const firstName = shipping?.first_name || billing?.first_name || '';
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const lastName = shipping?.last_name || billing?.last_name || '';
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const name = `${firstName} ${lastName}`.trim() || '';
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const address = shipping?.address_1 || billing?.address_1 || '';
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const address2 = shipping?.address_2 || billing?.address_2 || '';
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const city = shipping?.city || billing?.city || '';
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const state = shipping?.state || billing?.state || '';
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const postcode = shipping?.postcode || billing?.postcode || '';
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const country = shipping?.country || billing?.country || '';
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const nameAddress = `${name} ${address} ${address2} ${city} ${state} ${postcode} ${country}`;
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// 获取电话号码
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const phone = shipping?.phone || billing?.phone || '';
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// 获取快递号
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const trackingNumber = order.shipment?.tracking_id || '';
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// 暂时没有换货相关数据，默认为0和空字符串
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const exchangeBoxCount = 0;
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const exchangeContent = '';
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return {
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'日期': order.date_created?.toISOString().split('T')[0] || '',
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'订单号': order.externalOrderId || '',
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'姓名地址': nameAddress,
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'邮箱': order.customer_email || '',
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'号码': phone,
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'订单内容': orderContent,
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'盒数': boxCount,
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'换盒数': exchangeBoxCount,
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'换货内容': exchangeContent,
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'快递号': trackingNumber
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};
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});
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// 返回CSV字符串内容给前端
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const csvContent = await this.exportToCsv(exportDataList, { type: 'string' });
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return csvContent;
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});
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} catch (error) {
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throw new Error(`导出订单失败:${error.message}`);
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}
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}
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/**
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* 导出数据为CSV格式
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* @param {any[]} data 数据数组
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* @param {Object} options 配置选项
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* @param {string} [options.type='string'] 输出类型：'string' | 'buffer'
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* @param {string} [options.fileName] 文件名（仅当需要写入文件时使用）
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* @param {boolean} [options.writeFile=false] 是否写入文件
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* @returns {string|Buffer} 根据type返回字符串或Buffer
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*/
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async exportToCsv(data: any[], options: { type?: 'string' | 'buffer'; fileName?: string; writeFile?: boolean } = {}): Promise<string | Buffer> {
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try {
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// 检查数据是否为空
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if (!data || data.length === 0) {
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throw new Error('导出数据不能为空');
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}
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const { type = 'string', fileName, writeFile = false } = options;
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// 生成表头
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const headers = Object.keys(data[0]);
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let csvContent = headers.join(',') + '\n';
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// 处理数据行
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data.forEach(item => {
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const row = headers.map(key => {
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const value = item[key as keyof any];
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// 处理特殊字符
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if (typeof value === 'string') {
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// 转义双引号，将"替换为""
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const escapedValue = value.replace(/"/g, '""');
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// 如果包含逗号或换行符，需要用双引号包裹
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if (escapedValue.includes(',') || escapedValue.includes('\n')) {
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return `"${escapedValue}"`;
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}
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return escapedValue;
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}
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// 处理日期类型
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if (value instanceof Date) {
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return value.toISOString();
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}
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// 处理undefined和null
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if (value === undefined || value === null) {
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return '';
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}
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return String(value);
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}).join(',');
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csvContent += row + '\n';
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});
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// 如果需要写入文件
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if (writeFile && fileName) {
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// 获取当前用户目录
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const userHomeDir = os.homedir();
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// 构建目标路径（下载目录）
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const downloadsDir = path.join(userHomeDir, 'Downloads');
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// 确保下载目录存在
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if (!fs.existsSync(downloadsDir)) {
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fs.mkdirSync(downloadsDir, { recursive: true });
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}
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const filePath = path.join(downloadsDir, fileName);
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// 写入文件
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fs.writeFileSync(filePath, csvContent, 'utf8');
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console.log(`数据已成功导出至 ${filePath}`);
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return filePath;
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}
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// 根据类型返回不同结果
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if (type === 'buffer') {
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return Buffer.from(csvContent, 'utf8');
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}
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return csvContent;
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} catch (error) {
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console.error('导出CSV时出错:', error);
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throw new Error(`导出CSV文件失败: ${error.message}`);
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}
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}
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}
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@ -22,6 +22,10 @@ export class SiteService {
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async syncFromConfig(sites: WpSite[] = []) {
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// 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)
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for (const siteConfig of sites) {
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if (!siteConfig.name) {
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console.warn('跳过空名称的站点配置');
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continue;
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}
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// 按站点名称查询是否已存在记录
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const exist = await this.siteModel.findOne({
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where: { name: siteConfig.name },
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@ -15,12 +15,14 @@ export class StatisticsService {
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orderItemRepository: Repository<OrderItem>;
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async getOrderStatistics(params: OrderStatisticsParams) {
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const { startDate, endDate, siteId } = params;
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const { startDate, endDate, siteId ,grouping} = params;
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// const keywords = keyword ? keyword.split(' ').filter(Boolean) : [];
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const start = dayjs(startDate).format('YYYY-MM-DD');
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const end = dayjs(endDate).add(1, 'd').format('YYYY-MM-DD');
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let sql = `
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WITH first_order AS (
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let sql = '';
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if (!grouping || grouping === 'day') {
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sql = `WITH first_order AS (
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SELECT customer_email, MIN(date_paid) AS first_purchase_date
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FROM \`order\`
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GROUP BY customer_email
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@ -214,6 +216,393 @@ export class StatisticsService {
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dt.can_total_orders
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ORDER BY d.order_date DESC;
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`;
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}else if (grouping === 'week') {
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sql = `WITH first_order AS (
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SELECT customer_email, MIN(date_paid) AS first_purchase_date
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FROM \`order\`
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GROUP BY customer_email
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),
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weekly_orders AS (
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SELECT
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o.id AS order_id,
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DATE_FORMAT(o.date_paid, '%Y-%u') AS order_date,
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o.customer_email,
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o.total,
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o.source_type,
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o.utm_source,
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o.siteId,
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CASE
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WHEN o.date_paid = f.first_purchase_date THEN 'first_purchase'
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ELSE 'repeat_purchase'
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END AS purchase_type,
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CASE
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WHEN o.source_type = 'utm' AND o.utm_source = 'google' THEN 'cpc'
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ELSE 'non_cpc'
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END AS order_type,
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MAX(CASE WHEN oi.name LIKE '%zyn%' THEN 'zyn' ELSE 'non_zyn' END) AS zyn_type,
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MAX(CASE WHEN oi.name LIKE '%yoone%' THEN 'yoone' ELSE 'non_yoone' END) AS yoone_type,
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MAX(CASE WHEN oi.name LIKE '%zex%' THEN 'zex' ELSE 'non_zex' END) AS zex_type
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FROM \`order\` o
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LEFT JOIN first_order f ON o.customer_email = f.customer_email
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LEFT JOIN order_item oi ON o.id = oi.orderId
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WHERE o.date_paid IS NOT NULL
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AND o.date_paid >= '${start}' AND o.date_paid < '${end}'
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AND o.status IN ('processing','completed')
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GROUP BY o.id, o.date_paid, o.customer_email, o.total, o.source_type, o.siteId, o.utm_source
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),
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order_sales_summary AS (
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SELECT
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orderId,
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SUM(CASE WHEN name LIKE '%zyn%' THEN quantity ELSE 0 END) AS zyn_quantity,
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SUM(CASE WHEN name LIKE '%yoone%' THEN quantity ELSE 0 END) AS yoone_quantity,
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SUM(CASE WHEN name LIKE '%zex%' THEN quantity ELSE 0 END) AS zex_quantity,
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SUM(CASE WHEN name LIKE '%yoone%' AND isPackage = 1 THEN quantity ELSE 0 END) AS yoone_G_quantity,
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SUM(CASE WHEN name LIKE '%yoone%' AND isPackage = 0 THEN quantity ELSE 0 END) AS yoone_S_quantity,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%3%' THEN quantity ELSE 0 END) AS yoone_3_quantity,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%6%' THEN quantity ELSE 0 END) AS yoone_6_quantity,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%9%' THEN quantity ELSE 0 END) AS yoone_9_quantity,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%12%' THEN quantity ELSE 0 END) AS yoone_12_quantity,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%15%' THEN quantity ELSE 0 END) AS yoone_15_quantity
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FROM order_sale
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GROUP BY orderId
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),
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order_items_summary AS (
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SELECT
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orderId,
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SUM(CASE WHEN name LIKE '%zyn%' THEN total + total_tax ELSE 0 END) AS zyn_amount,
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SUM(CASE WHEN name LIKE '%yoone%' THEN total + total_tax ELSE 0 END) AS yoone_amount,
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SUM(CASE WHEN name LIKE '%zex%' THEN total + total_tax ELSE 0 END) AS zex_amount,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%package%' THEN total + total_tax ELSE 0 END) AS yoone_G_amount,
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SUM(CASE WHEN name LIKE '%yoone%' AND name NOT LIKE '%package%' THEN total + total_tax ELSE 0 END) AS yoone_S_amount,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%3%' THEN total + total_tax ELSE 0 END) AS yoone_3_amount,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%6%' THEN total + total_tax ELSE 0 END) AS yoone_6_amount,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%9%' THEN total + total_tax ELSE 0 END) AS yoone_9_amount,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%12%' THEN total + total_tax ELSE 0 END) AS yoone_12_amount,
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SUM(CASE WHEN name LIKE '%yoone%' AND name LIKE '%15%' THEN total + total_tax ELSE 0 END) AS yoone_15_amount
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FROM order_item
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GROUP BY orderId
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),
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weekly_totals AS (
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SELECT order_date, SUM(total) AS total_amount,
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SUM(CASE WHEN siteId = 1 THEN total ELSE 0 END) AS togo_total_amount,
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SUM(CASE WHEN siteId = 2 THEN total ELSE 0 END) AS can_total_amount,
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COUNT(DISTINCT order_id) AS total_orders,
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COUNT(DISTINCT CASE WHEN siteId = 1 THEN order_id END) AS togo_total_orders,
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COUNT(DISTINCT CASE WHEN siteId = 2 THEN order_id END) AS can_total_orders,
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SUM(CASE WHEN purchase_type = 'first_purchase' THEN total ELSE 0 END) AS first_purchase_total,
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SUM(CASE WHEN purchase_type = 'repeat_purchase' THEN total ELSE 0 END) AS repeat_purchase_total,
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SUM(CASE WHEN order_type = 'cpc' THEN total ELSE 0 END) AS cpc_total,
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SUM(CASE WHEN order_type = 'non_cpc' THEN total ELSE 0 END) AS non_cpc_total,
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SUM(CASE WHEN zyn_type = 'zyn' AND order_type = 'cpc' THEN total ELSE 0 END) AS zyn_total,
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SUM(CASE WHEN zyn_type = 'zyn' AND order_type = 'non_cpc' THEN total ELSE 0 END) AS non_zyn_total,
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SUM(CASE WHEN yoone_type = 'yoone' AND order_type = 'cpc' THEN total ELSE 0 END) AS yoone_total,
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SUM(CASE WHEN yoone_type = 'yoone' AND order_type = 'non_cpc' THEN total ELSE 0 END) AS non_yoone_total,
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SUM(CASE WHEN zex_type = 'zex' AND order_type = 'cpc' THEN total ELSE 0 END) AS zex_total,
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SUM(CASE WHEN zex_type = 'zex' AND order_type = 'non_cpc' THEN total ELSE 0 END) AS non_zex_total,
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SUM(CASE WHEN source_type = 'typein' THEN total ELSE 0 END) AS direct_total,
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SUM(CASE WHEN source_type = 'organic' THEN total ELSE 0 END) AS organic_total
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FROM weekly_orders
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GROUP BY order_date
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)
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SELECT
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wt.order_date,
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COUNT(DISTINCT CASE WHEN wo.purchase_type = 'first_purchase' THEN wo.order_id END) AS first_purchase_orders,
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COUNT(DISTINCT CASE WHEN wo.purchase_type = 'repeat_purchase' THEN wo.order_id END) AS repeat_purchase_orders,
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COUNT(DISTINCT CASE WHEN wo.order_type = 'cpc' THEN wo.order_id END) AS cpc_orders,
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COUNT(DISTINCT CASE WHEN wo.order_type = 'cpc' AND wo.siteId = 1 THEN wo.order_id END) AS togo_cpc_orders,
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COUNT(DISTINCT CASE WHEN wo.order_type = 'cpc' AND wo.siteId = 2 THEN wo.order_id END) AS can_cpc_orders,
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COUNT(DISTINCT CASE WHEN wo.order_type = 'non_cpc' THEN wo.order_id END) AS non_cpc_orders,
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COUNT(DISTINCT CASE WHEN wo.order_type = 'non_cpc' AND wo.siteId = 1 THEN wo.order_id END) AS non_togo_cpc_orders,
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COUNT(DISTINCT CASE WHEN wo.order_type = 'non_cpc' AND wo.siteId = 2 THEN wo.order_id END) AS non_can_cpc_orders,
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COUNT(DISTINCT CASE WHEN wo.zyn_type = 'zyn' AND wo.order_type = 'cpc' THEN wo.order_id END) AS zyn_orders,
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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
|
||||
WHERE s30.sku IS NULL
|
||||
ON s30.productSku = s15.productSku
|
||||
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 sales_max_summary sales ON ss.sku = sales.sku
|
||||
LEFT JOIN product_name_summary pns ON ss.sku = pns.sku
|
||||
LEFT JOIN transfer_stock ts ON ss.productSku = ts.productSku
|
||||
LEFT JOIN sales_max_summary sales ON ss.productSku = sales.productSku
|
||||
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
|
||||
GROUP BY sdr.sku
|
||||
LEFT JOIN b_sales_data_raw b ON sdr.productSku = b.productSku AND sdr.month = b.month
|
||||
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 monthly_sales_summary ms ON ss.sku = ms.sku
|
||||
LEFT JOIN product_name_summary pns ON ss.sku = pns.sku
|
||||
LEFT JOIN sales_summary ssum ON ss.sku = ssum.sku
|
||||
LEFT JOIN transfer_stock ts ON ss.productSku = ts.productSku
|
||||
LEFT JOIN monthly_sales_summary ms ON ss.productSku = ms.productSku
|
||||
LEFT JOIN product_name_summary pns ON ss.productSku = pns.productSku
|
||||
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
|
||||
|
|
|
|||
Loading…
Reference in New Issue