umami/queries/analytics/stats/getWebsiteStats.js

72 lines
2.2 KiB
JavaScript

import prisma from 'lib/prisma';
import clickhouse from 'lib/clickhouse';
import { runQuery, CLICKHOUSE, PRISMA } from 'lib/db';
export async function getWebsiteStats(...args) {
return runQuery({
[PRISMA]: () => relationalQuery(...args),
[CLICKHOUSE]: () => clickhouseQuery(...args),
});
}
async function relationalQuery(websiteId, { start_at, end_at, filters = {} }) {
const { getDateQuery, getTimestampInterval, parseFilters, rawQuery } = prisma;
const params = [websiteId, start_at, end_at];
const { pageviewQuery, sessionQuery, joinSession } = parseFilters(
'pageview',
null,
filters,
params,
);
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 pageview.session_id,
${getDateQuery('pageview.created_at', 'hour')},
count(*) c,
${getTimestampInterval('pageview.created_at')} as "time"
from pageview
${joinSession}
where pageview.website_id=$1
and pageview.created_at between $2 and $3
${pageviewQuery}
${sessionQuery}
group by 1, 2
) t`,
params,
);
}
async function clickhouseQuery(websiteId, { start_at, end_at, filters = {} }) {
const { rawQuery, getDateQuery, getBetweenDates, parseFilters } = clickhouse;
const params = [websiteId];
const { pageviewQuery, sessionQuery } = parseFilters(null, filters, params);
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 event
where event_name = ''
and website_id = $1
and ${getBetweenDates('created_at', start_at, end_at)}
${pageviewQuery}
${sessionQuery}
group by session_id, time_series
) t;`,
params,
);
}