import clickhouse from '@/lib/clickhouse'; import { CLICKHOUSE, PRISMA, runQuery } from '@/lib/db'; import prisma from '@/lib/prisma'; import type { EventDataNumericStats, EventPropertyFilter, QueryFilters } from '@/lib/types'; const FUNCTION_NAME = 'getEventDataNumericStats'; export async function getEventDataNumericStats( ...args: [ websiteId: string, eventName: string, propertyName: string, filters: QueryFilters, eventFilters?: EventPropertyFilter[], ] ): Promise { return runQuery({ [PRISMA]: () => relationalQuery(...args), [CLICKHOUSE]: () => clickhouseQuery(...args), }).then(results => results?.[0]); } async function relationalQuery( websiteId: string, eventName: string, propertyName: string, filters: QueryFilters, eventFilters: EventPropertyFilter[] = [], ) { const { timezone = 'utc' } = filters; const { rawQuery, parseFilters, getPropertyFilterQuery } = prisma; const { filterQuery, cohortQuery, joinSessionQuery, queryParams } = parseFilters({ ...filters, websiteId, timezone, }); const { sql: pfSQL, params: pfParams } = getPropertyFilterQuery(eventFilters, 'event', timezone); return rawQuery( ` select coalesce(sum(cast(event_data.number_value as decimal)), 0) as "total", coalesce(avg(cast(event_data.number_value as decimal)), 0) as "average", coalesce(percentile_cont(0.5) within group (order by event_data.number_value), 0) as "median", coalesce(max(event_data.number_value), 0) as "max", coalesce(min(event_data.number_value), 0) as "min" from event_data join website_event on website_event.event_id = event_data.website_event_id and website_event.website_id = {{websiteId::uuid}} and website_event.created_at between {{startDate}} and {{endDate}} and website_event.event_type = 2 and website_event.event_name = {{eventName}} ${cohortQuery} ${joinSessionQuery} where event_data.website_id = {{websiteId::uuid}} and event_data.created_at between {{startDate}} and {{endDate}} and event_data.data_key = {{propertyName}} and event_data.data_type = 2 ${filterQuery} ${pfSQL} `, { ...queryParams, eventName, propertyName, ...pfParams }, FUNCTION_NAME, ); } async function clickhouseQuery( websiteId: string, eventName: string, propertyName: string, filters: QueryFilters, eventFilters: EventPropertyFilter[] = [], ): Promise { const { timezone = 'UTC' } = filters; const { rawQuery, parseFilters, getPropertyFilterQuery } = clickhouse; const { filterQuery, cohortQuery, queryParams } = parseFilters({ ...filters, websiteId, timezone, }); const { sql: pfSQL, params: pfParams } = getPropertyFilterQuery(eventFilters, 'event', timezone); return rawQuery( ` select if(count() = 0, 0, sum(event_data.number_value)) as total, if(count() = 0, 0, avg(event_data.number_value)) as average, if(count() = 0, 0, median(event_data.number_value)) as median, if(count() = 0, 0, max(event_data.number_value)) as max, if(count() = 0, 0, min(event_data.number_value)) as min from event_data any left join ( select * from website_event where website_id = {websiteId:UUID} and created_at between {startDate:DateTime64} and {endDate:DateTime64} and event_type = 2 and event_name = {eventName:String}) website_event on website_event.event_id = event_data.event_id and website_event.session_id = event_data.session_id and website_event.website_id = event_data.website_id ${cohortQuery} where event_data.website_id = {websiteId:UUID} and event_data.created_at between {startDate:DateTime64} and {endDate:DateTime64} and event_data.event_name = {eventName:String} and event_data.data_key = {propertyName:String} and event_data.data_type = 2 ${filterQuery} ${pfSQL} `, { ...queryParams, eventName, propertyName, ...pfParams }, FUNCTION_NAME, ); }