umami/queries/analytics/stats/getWebsiteStats.ts
2023-07-31 11:42:47 -07:00

103 lines
3.0 KiB
TypeScript

import prisma from 'lib/prisma';
import clickhouse from 'lib/clickhouse';
import { runQuery, CLICKHOUSE, PRISMA } from 'lib/db';
import { EVENT_TYPE } from 'lib/constants';
import { loadWebsite } from 'lib/load';
import { maxDate } from 'lib/date';
export async function getWebsiteStats(
...args: [
websiteId: string,
data: { startDate: Date; endDate: Date; type?: string; filters: object },
]
) {
return runQuery({
[PRISMA]: () => relationalQuery(...args),
[CLICKHOUSE]: () => clickhouseQuery(...args),
});
}
async function relationalQuery(
websiteId: string,
criteria: { startDate: Date; endDate: Date; filters: object },
) {
const { startDate, endDate, filters = {} } = criteria;
const { getDateQuery, getTimestampIntervalQuery, parseFilters, rawQuery } = prisma;
const website = await loadWebsite(websiteId);
const { filterQuery, joinSession } = parseFilters(filters);
return rawQuery(
`
select
sum(t.c) as "pageviews",
count(distinct t.session_id) as "uniques",
sum(case when t.c = 1 then 1 else 0 end) as "bounces",
sum(t.time) as "totaltime"
from (
select
website_event.session_id,
${getDateQuery('website_event.created_at', 'hour')},
count(*) as c,
${getTimestampIntervalQuery('website_event.created_at')} as "time"
from website_event
join website
on website_event.website_id = website.website_id
${joinSession}
where event_type = {{eventType}}
and website.website_id = {{websiteId::uuid}}
and website_event.created_at between {{startDate}} and {{endDate}}
${filterQuery}
group by 1, 2
) as t
`,
{
websiteId,
startDate: maxDate(startDate, website.resetAt),
endDate,
eventType: EVENT_TYPE.pageView,
...filters,
},
);
}
async function clickhouseQuery(
websiteId: string,
criteria: { startDate: Date; endDate: Date; filters: object },
) {
const { startDate, endDate, filters = {} } = criteria;
const { rawQuery, getDateQuery, parseFilters } = clickhouse;
const website = await loadWebsite(websiteId);
const { filterQuery } = parseFilters(filters);
return rawQuery(
`
select
sum(t.c) as "pageviews",
count(distinct t.session_id) as "uniques",
sum(if(t.c = 1, 1, 0)) as "bounces",
sum(if(max_time < min_time + interval 1 hour, max_time-min_time, 0)) as "totaltime"
from (
select
session_id,
${getDateQuery('created_at', 'day')} time_series,
count(*) c,
min(created_at) min_time,
max(created_at) max_time
from website_event
where website_id = {websiteId:UUID}
and created_at between {startDate:DateTime} and {endDate:DateTime}
and event_type = {eventType:UInt32}
${filterQuery}
group by session_id, time_series
) as t;
`,
{
...filters,
websiteId,
startDate: maxDate(startDate, website.resetAt),
endDate,
eventType: EVENT_TYPE.pageView,
},
);
}