refactor(shopyy): 重构订单DTO和服务逻辑 #37

Merged
longbot merged 1 commits from zhuotianyuan/API:main into main 2025-12-29 09:43:26 +00:00
7 changed files with 732 additions and 77 deletions
Showing only changes of commit 2f99e27f0f - Show all commits

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@ -25,7 +25,9 @@ import {
ShopyyVariant,
ShopyyWebhook,
} from '../dto/shopyy.dto';
import {
OrderStatus,
} from '../enums/base.enum';
export class ShopyyAdapter implements ISiteAdapter {
constructor(private site: any, private shopyyService: ShopyyService) {
this.mapCustomer = this.mapCustomer.bind(this);
@ -129,6 +131,13 @@ export class ShopyyAdapter implements ISiteAdapter {
};
}
shopyyOrderAutoNextStatusMap = {//订单状态 100 未完成110 待处理180 已完成(确认收货); 190 取消;
[100]: OrderStatus.PENDING, // 100 未完成 转为 pending
[110]: OrderStatus.PROCESSING, // 110 待处理 转为 processing
[180]: OrderStatus.COMPLETED, // 180 已完成(确认收货) 转为 completed
[190]: OrderStatus.CANCEL // 190 取消 转为 cancelled
}
private mapOrder(item: ShopyyOrder): UnifiedOrderDTO {
// 提取账单和送货地址 如果不存在则为空对象
const billing = (item as any).billing_address || {};
@ -202,9 +211,27 @@ export class ShopyyAdapter implements ISiteAdapter {
quantity: p.quantity,
total: String(p.price ?? ''),
sku: p.sku || p.sku_code || '',
price: String(p.price ?? ''),
})
);
const currencySymbols: Record<string, string> = {
'EUR': '€',
'USD': '$',
'GBP': '£',
'JPY': '¥',
'AUD': 'A$',
'CAD': 'C$',
'CHF': 'CHF',
'CNY': '¥',
'HKD': 'HK$',
'NZD': 'NZ$',
'SGD': 'S$'
// 可以根据需要添加更多货币代码和符号
};
const originStatus = item.status;
item.status = this.shopyyOrderAutoNextStatusMap[originStatus];
return {
id: item.id || item.order_id,
number: item.order_number || item.order_sn,
@ -222,10 +249,15 @@ export class ShopyyAdapter implements ISiteAdapter {
billing_full_address: formatAddress(billingObj),
shipping_full_address: formatAddress(shippingObj),
payment_method: item.payment_method,
shipping_lines: item.shipping_lines,
fee_lines: item.fee_lines,
coupon_lines: item.coupon_lines,
shipping_lines: item.fulfillments || [],
fee_lines: item.fee_lines || [],
coupon_lines: item.coupon_lines || [],
date_paid: typeof item.pay_at === 'number'
? item.pay_at === 0 ? null : new Date(item.pay_at * 1000).toISOString()
: null,
refunds: [],
currency_symbol: (currencySymbols[item.currency] || '$') || '',
date_created:
typeof item.created_at === 'number'
? new Date(item.created_at * 1000).toISOString()
@ -241,7 +273,7 @@ export class ShopyyAdapter implements ISiteAdapter {
};
}
private mapCustomer(item: ShopyyCustomer): UnifiedCustomerDTO {
// 处理多地址结构

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@ -246,17 +246,18 @@ export interface ShopyyOrder {
updated_at?: number | string;
date_updated?: string;
last_modified?: string;
// 支付时间
pay_at?: number ;
// 配送方式
shipping_lines?: Array<UnifiedShippingLineDTO>;
shipping_lines?: Array<ShopyyShippingLineDTO>;
// 费用项
fee_lines?: Array<UnifiedFeeLineDTO>;
fee_lines?: Array<ShopyyFeeLineDTO>;
// 优惠券项
coupon_lines?: Array<UnifiedCouponLineDTO>;
coupon_lines?: Array<ShopyyCouponLineDTO>;
}
export class UnifiedShippingLineDTO {
export class ShopyyShippingLineDTO {
// 配送方式DTO用于承载统一配送方式数据
id?: string | number;
@ -274,7 +275,7 @@ export class UnifiedShippingLineDTO {
}
export class UnifiedFeeLineDTO {
export class ShopyyFeeLineDTO {
// 费用项DTO用于承载统一费用项数据
id?: string | number;
@ -293,7 +294,7 @@ export class UnifiedFeeLineDTO {
meta_data?: any[];
}
export class UnifiedCouponLineDTO {
export class ShopyyCouponLineDTO {
// 优惠券项DTO用于承载统一优惠券项数据
id?: string | number;
code?: string;

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@ -16,6 +16,12 @@ export class UnifiedPaginationDTO<T> {
@ApiProperty({ description: '总页数', example: 5 })
totalPages: number;
@ApiProperty({ description: '分页后的数据', required: false })
after?: string;
@ApiProperty({ description: '分页前的数据', required: false })
before?: string;
}
export class UnifiedTagDTO {
// 标签DTO用于承载统一标签数据
@ -258,6 +264,9 @@ export class UnifiedOrderDTO {
@ApiProperty({ description: '货币' })
currency: string;
@ApiProperty({ description: '货币符号' })
currency_symbol?: string;
@ApiProperty({ description: '总金额' })
total: string;
@ -312,6 +321,9 @@ export class UnifiedOrderDTO {
@ApiProperty({ description: '优惠券项', type: () => [UnifiedCouponLineDTO], required: false })
coupon_lines?: UnifiedCouponLineDTO[];
@ApiProperty({ description: '支付时间', required: false })
date_paid?: string ;
}
export class UnifiedShippingLineDTO {
@ -324,7 +336,7 @@ export class UnifiedShippingLineDTO {
@ApiProperty({ description: '配送方式实例ID' })
method_id?: string;
@ApiProperty({ description: '配送方式金额' })
total?: string;
@ -336,7 +348,7 @@ export class UnifiedShippingLineDTO {
@ApiProperty({ description: '配送方式元数据' })
meta_data?: any[];
}
export class UnifiedFeeLineDTO {
@ -347,23 +359,23 @@ export class UnifiedFeeLineDTO {
@ApiProperty({ description: '费用项名称' })
name?: string;
@ApiProperty({ description: '税率类' })
tax_class?: string;
@ApiProperty({ description: '税率类' })
tax_class?: string;
@ApiProperty({ description: '税率状态' })
tax_status?: string;
@ApiProperty({ description: '税率状态' })
tax_status?: string;
@ApiProperty({ description: '总金额' })
total?: string;
@ApiProperty({ description: '总金额' })
total?: string;
@ApiProperty({ description: '总税额' })
total_tax?: string;
@ApiProperty({ description: '总税额' })
total_tax?: string;
@ApiProperty({ description: '税额详情' })
taxes?: any[];
@ApiProperty({ description: '税额详情' })
taxes?: any[];
@ApiProperty({ description: '元数据' })
meta_data?: any[];
@ApiProperty({ description: '元数据' })
meta_data?: any[];
}
export class UnifiedCouponLineDTO {
@ -371,17 +383,17 @@ export class UnifiedCouponLineDTO {
@ApiProperty({ description: '优惠券项ID' })
id?: string | number;
@ApiProperty({ description: '优惠券项代码' })
code?: string;
@ApiProperty({ description: '优惠券项代码' })
code?: string;
@ApiProperty({ description: '优惠券项折扣' })
discount?: string;
@ApiProperty({ description: '优惠券项折扣' })
discount?: string;
@ApiProperty({ description: '优惠券项税额' })
discount_tax?: string;
@ApiProperty({ description: '优惠券项税额' })
discount_tax?: string;
@ApiProperty({ description: '优惠券项元数据' })
meta_data?: any[];
@ApiProperty({ description: '优惠券项元数据' })
meta_data?: any[];
}
@ -619,6 +631,12 @@ export class UnifiedSearchParamsDTO<Where=Record<string, any>> {
@ApiProperty({ description: '过滤条件对象', type: 'object', required: false })
where?: Where;
@ApiProperty({ description: '创建时间后', required: false })
after?: string;
@ApiProperty({ description: '创建时间前', required: false })
before?: string;
@ApiProperty({
description: '排序对象,例如 { "sku": "desc" }',

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@ -33,4 +33,9 @@ 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;
}

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@ -31,7 +31,9 @@ import { UpdateStockDTO } from '../dto/stock.dto';
import { StockService } from './stock.service';
import { OrderItemOriginal } from '../entity/order_item_original.entity';
import { SiteApiService } from './site-api.service';
import * as fs from 'fs';
import * as path from 'path';
import * as os from 'os';
@Provide()
export class OrderService {
@ -96,8 +98,22 @@ export class OrderService {
siteApiService: SiteApiService;
async syncOrders(siteId: number, params: Record<string, any> = {}) {
const daysRange = 7;
// 获取当前时间和7天前时间
const now = new Date();
const sevenDaysAgo = new Date();
sevenDaysAgo.setDate(now.getDate() - daysRange);
// 格式化时间为ISO 8601
const after = sevenDaysAgo.toISOString();
const before = now.toISOString();
// 调用 WooCommerce API 获取订单
const result = await (await this.siteApiService.getAdapter(siteId)).getAllOrders(params);
const result = await (await this.siteApiService.getAdapter(siteId)).getAllOrders({
...params,
after,
before,
});
let successCount = 0;
let failureCount = 0;
@ -135,12 +151,7 @@ export class OrderService {
[OrderStatus.RETURN_CANCELLED]: OrderStatus.REFUNDED // 已取消退款转为 refunded
}
shopyyOrderAutoNextStatusMap = {//订单状态 100 未完成110 待处理180 已完成(确认收货); 190 取消;
[100]: OrderStatus.PENDING, // 100 未完成 转为 pending
[110]: OrderStatus.PROCESSING, // 110 待处理 转为 processing
[180]: OrderStatus.COMPLETED, // 180 已完成(确认收货) 转为 completed
[190]: OrderStatus.CANCEL // 190 取消 转为 cancelled
}
// 由于 wordpress 订单状态和 我们的订单状态 不一致,需要做转换
async autoUpdateOrderStatus(siteId: number, order: any) {
console.log('更新订单状态', order)
@ -188,28 +199,6 @@ export class OrderService {
await this.orderModel.update({ externalOrderId: order.id, siteId: siteId }, {
orderStatus: order.status,
})
}else if(site.type === 'shopyy'){
const originStatus = orderData.status;
orderData.status= this.shopyyOrderAutoNextStatusMap[originStatus];
// 根据currency_code获取对应货币符号
const currencySymbols: Record<string, string> = {
'EUR': '€',
'USD': '$',
'GBP': '£',
'JPY': '¥',
'AUD': 'A$',
'CAD': 'C$',
'CHF': 'CHF',
'CNY': '¥',
'HKD': 'HK$',
'NZD': 'NZ$',
'SGD': 'S$'
// 可以根据需要添加更多货币代码和符号
};
if (orderData.currency) {
const currencyCode = orderData.currency.toUpperCase();
orderData.currency_symbol = currencySymbols[currencyCode] || '$';
}
}
const externalOrderId = order.id;
if (
@ -1733,4 +1722,205 @@ export class OrderService {
// }
}
async exportOrder(ids: number[]) {
// 日期 订单号 姓名地址 邮箱 号码 订单内容 盒数 换盒数 换货内容 快递号
interface ExportData {
'日期': string;
'订单号': string;
'姓名地址': string;
'邮箱': string;
'号码': string;
'订单内容': string;
'盒数': number;
'换盒数': number;
'换货内容': string;
'快递号': string;
}
try {
// 空值检查
const dataSource = this.dataSourceManager.getDataSource('default');
// 优化事务使用
return await dataSource.transaction(async manager => {
// 准备查询条件
const whereCondition: any = {};
if (ids && ids.length > 0) {
whereCondition.id = In(ids);
}
// 获取订单、订单项和物流信息
const orders = await manager.getRepository(Order).find({
where: whereCondition,
relations: ['shipment']
});
if (orders.length === 0) {
throw new Error('未找到匹配的订单');
}
// 获取所有订单ID
const orderIds = orders.map(order => order.id);
// 获取所有订单项
const orderItems = await manager.getRepository(OrderItem).find({
where: {
orderId: In(orderIds)
}
});
// 按订单ID分组订单项
const orderItemsByOrderId = orderItems.reduce((acc, item) => {
if (!acc[item.orderId]) {
acc[item.orderId] = [];
}
acc[item.orderId].push(item);
return acc;
}, {} as Record<number, OrderItem[]>);
// 构建导出数据
const exportDataList: ExportData[] = orders.map(order => {
// 获取订单的订单项
const items = orderItemsByOrderId[order.id] || [];
// 计算总盒数
const boxCount = items.reduce((total, item) => total + item.quantity, 0);
// 构建订单内容
const orderContent = items.map(item => `${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}`);
}
}
/**
* CSV格式
* @param {any[]} data
* @param {Object} options
* @param {string} [options.type='string'] 'string' | 'buffer'
* @param {string} [options.fileName] 使
* @param {boolean} [options.writeFile=false]
* @returns {string|Buffer} 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}`);
}
}
}

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@ -7,6 +7,7 @@ import { Site } from '../entity/site.entity';
import { UnifiedReviewDTO } from '../dto/site-api.dto';
import { ShopyyReview } from '../dto/shopyy.dto';
import { BatchOperationDTO, BatchOperationResultDTO } from '../dto/batch.dto';
import { UnifiedSearchParamsDTO } from '../dto/site-api.dto';
/**
* ShopYY平台服务实现
*/
@ -286,6 +287,14 @@ export class ShopyyService {
const response = await this.request(site, `products/${productId}/variations/${variationId}`, 'GET');
return response.data;
}
mapOrderSearchParams(params: UnifiedSearchParamsDTO){
const { after, before, ...restParams } = params;
return {
...restParams,
...(after ? { created_at_min: after } : {}),
...(before ? { created_at_max: before } : {}),
}
}
/**
* ShopYY订单列表
@ -294,14 +303,15 @@ export class ShopyyService {
* @param pageSize
* @returns
*/
async getOrders(site: any | number, page: number = 1, pageSize: number = 100): Promise<any> {
async getOrders(site: any | number, page: number = 1, pageSize: number = 100, params: UnifiedSearchParamsDTO = {}): Promise<any> {
// 如果传入的是站点ID则获取站点配置
const siteConfig = typeof site === 'number' ? await this.siteService.get(site) : site;
// ShopYY API: GET /orders
const response = await this.request(siteConfig, 'orders', 'GET', null, {
page,
page_size: pageSize
limit: pageSize,
...params
});
return {
@ -313,7 +323,7 @@ export class ShopyyService {
};
}
async getAllOrders(site: any | number, params: Record<string, any> = {}, maxPages: number = 10, concurrencyLimit: number = 100): Promise<any> {
async getAllOrders(site: any | number, params: Record<string, any> = {}, maxPages: number = 100, concurrencyLimit: number = 100): Promise<any> {
const firstPage = await this.getOrders(site, 1, 100);
const { items: firstPageItems, totalPages} = firstPage;

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@ -15,11 +15,13 @@ 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 = `
let sql = '';
if (!grouping || grouping === 'day') {
sql = `
WITH first_order AS (
SELECT customer_email, MIN(date_paid) AS first_purchase_date
FROM \`order\`
@ -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) {
@ -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
),
@ -1016,6 +1410,7 @@ export class StatisticsService {
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 = '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 total ELSE 0 END) AS old_user_total
FROM labeled_users
GROUP BY order_month
),
@ -1061,7 +1458,9 @@ export class StatisticsService {
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