Files
umami/src/queries/sql/events/getEventDataNumericStats.ts
T
2026-05-01 13:16:30 -07:00

115 lines
4.0 KiB
TypeScript

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<EventDataNumericStats> {
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<EventDataNumericStats[]> {
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,
);
}