fix: 修复订单同步时未限制时间范围的问题
This commit is contained in:
黄珑
parent
72b28e7c2b
commit
ac4b925aee
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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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@ -162,9 +162,13 @@ export class OrderService {
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...orderData
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} = order;
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console.log('同步进单个订单', order)
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if (order.status === OrderStatus.AUTO_DRAFT) {
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return;
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}
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const existingOrder = await this.orderModel.findOne({
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where: { externalOrderId: order.id, siteId: siteId },
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});
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// 更新状态
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await this.autoUpdateOrderStatus(siteId, order);
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if (order.status === OrderStatus.AUTO_DRAFT) {
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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,
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COUNT(DISTINCT CASE WHEN wo.yoone_type = 'yoone' AND wo.order_type = 'cpc' THEN wo.order_id END) AS yoone_orders,
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COUNT(DISTINCT CASE WHEN wo.yoone_type = 'yoone' AND wo.order_type = 'non_cpc' THEN wo.order_id END) AS non_yoone_orders,
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COUNT(DISTINCT CASE WHEN wo.zex_type = 'zex' AND wo.order_type = 'cpc' THEN wo.order_id END) AS zex_orders,
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COUNT(DISTINCT CASE WHEN wo.zex_type = 'zex' AND wo.order_type = 'non_cpc' THEN wo.order_id END) AS non_zex_orders,
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COUNT(DISTINCT CASE WHEN wo.source_type = 'typein' THEN wo.order_id END) AS direct_orders,
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COUNT(DISTINCT CASE WHEN wo.source_type = 'organic' THEN wo.order_id END) AS organic_orders,
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wt.total_orders,
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wt.togo_total_orders,
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wt.can_total_orders,
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wt.total_amount,
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wt.togo_total_amount,
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wt.can_total_amount,
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wt.first_purchase_total,
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wt.repeat_purchase_total,
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wt.cpc_total,
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wt.non_cpc_total,
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wt.zyn_total,
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wt.non_zyn_total,
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wt.yoone_total,
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wt.non_yoone_total,
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wt.zex_total,
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wt.non_zex_total,
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wt.direct_total,
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wt.organic_total,
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COALESCE(SUM(os.zyn_quantity), 0) AS zyn_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.zyn_quantity ELSE 0 END) AS cpc_zyn_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.zyn_quantity ELSE 0 END) AS non_cpc_zyn_quantity,
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COALESCE(SUM(os.yoone_quantity), 0) AS yoone_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_quantity ELSE 0 END) AS cpc_yoone_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_quantity ELSE 0 END) AS non_cpc_yoone_quantity,
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COALESCE(SUM(os.yoone_G_quantity), 0) AS yoone_G_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_G_quantity ELSE 0 END) AS cpc_yoone_G_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_G_quantity ELSE 0 END) AS non_cpc_yoone_G_quantity,
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COALESCE(SUM(os.yoone_S_quantity), 0) AS yoone_S_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_S_quantity ELSE 0 END) AS cpc_yoone_S_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_S_quantity ELSE 0 END) AS non_cpc_yoone_S_quantity,
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COALESCE(SUM(os.yoone_3_quantity), 0) AS yoone_3_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_3_quantity ELSE 0 END) AS cpc_yoone_3_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_3_quantity ELSE 0 END) AS non_cpc_yoone_3_quantity,
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COALESCE(SUM(os.yoone_6_quantity), 0) AS yoone_6_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_6_quantity ELSE 0 END) AS cpc_yoone_6_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_6_quantity ELSE 0 END) AS non_cpc_yoone_6_quantity,
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COALESCE(SUM(os.yoone_9_quantity), 0) AS yoone_9_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_9_quantity ELSE 0 END) AS cpc_yoone_9_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_9_quantity ELSE 0 END) AS non_cpc_yoone_9_quantity,
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COALESCE(SUM(os.yoone_12_quantity), 0) AS yoone_12_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_12_quantity ELSE 0 END) AS cpc_yoone_12_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_12_quantity ELSE 0 END) AS non_cpc_yoone_12_quantity,
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COALESCE(SUM(os.yoone_15_quantity), 0) AS yoone_15_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.yoone_15_quantity ELSE 0 END) AS cpc_yoone_15_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.yoone_15_quantity ELSE 0 END) AS non_cpc_yoone_15_quantity,
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COALESCE(SUM(os.zex_quantity), 0) AS zex_quantity,
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SUM(CASE WHEN wo.order_type = 'cpc' THEN os.zex_quantity ELSE 0 END) AS cpc_zex_quantity,
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SUM(CASE WHEN wo.order_type = 'non_cpc' THEN os.zex_quantity ELSE 0 END) AS non_cpc_zex_quantity,
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COALESCE(SUM(oi.zyn_amount), 0) AS zyn_amount,
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COALESCE(SUM(oi.yoone_amount), 0) AS yoone_amount,
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COALESCE(SUM(oi.zex_amount), 0) AS zex_amount,
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COALESCE(SUM(oi.yoone_G_amount), 0) AS yoone_G_amount,
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COALESCE(SUM(oi.yoone_S_amount), 0) AS yoone_S_amount,
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COALESCE(SUM(oi.yoone_3_amount), 0) AS yoone_3_amount,
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COALESCE(SUM(oi.yoone_6_amount), 0) AS yoone_6_amount,
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COALESCE(SUM(oi.yoone_9_amount), 0) AS yoone_9_amount,
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COALESCE(SUM(oi.yoone_12_amount), 0) AS yoone_12_amount,
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COALESCE(SUM(oi.yoone_15_amount), 0) AS yoone_15_amount,
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ROUND(COALESCE(wt.total_amount / wt.total_orders, 0), 2) AS avg_total_amount,
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ROUND(COALESCE(wt.togo_total_amount / wt.togo_total_orders, 0), 2) AS avg_togo_total_amount,
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ROUND(COALESCE(wt.can_total_amount / wt.can_total_orders, 0), 2) AS avg_can_total_amount
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FROM weekly_orders wo
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LEFT JOIN weekly_totals wt ON wo.order_date = wt.order_date
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LEFT JOIN order_sales_summary os ON wo.order_id = os.orderId
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LEFT JOIN order_items_summary oi ON wo.order_id = oi.orderId
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GROUP BY
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wt.order_date,
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wt.total_amount,
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wt.togo_total_amount,
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wt.can_total_amount,
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wt.first_purchase_total,
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wt.repeat_purchase_total,
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wt.cpc_total,
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wt.non_cpc_total,
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wt.zyn_total,
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wt.non_zyn_total,
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wt.yoone_total,
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wt.non_yoone_total,
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wt.zex_total,
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wt.non_zex_total,
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wt.direct_total,
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wt.organic_total,
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wt.total_orders,
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wt.togo_total_orders,
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wt.can_total_orders
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ORDER BY wt.order_date DESC;
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`;
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}else if (grouping === 'month') {
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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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monthly_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-%m') 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,
|
||||
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) {
|
||||
|
|
|
|||
Loading…
Reference in New Issue