74 lines
2.3 KiB
JavaScript
74 lines
2.3 KiB
JavaScript
import prisma from 'lib/prisma';
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import clickhouse from 'lib/clickhouse';
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import { runQuery, CLICKHOUSE, PRISMA } from 'lib/db';
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export async function getWebsiteStats(...args) {
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return runQuery({
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[PRISMA]: () => relationalQuery(...args),
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[CLICKHOUSE]: () => clickhouseQuery(...args),
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});
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}
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async function relationalQuery(websiteId, { start_at, end_at, filters = {} }) {
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const { getDateQuery, getTimestampInterval, parseFilters, rawQuery, toUuid } = prisma;
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const params = [websiteId, start_at, end_at];
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const { pageviewQuery, sessionQuery, joinSession } = parseFilters(
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'pageview',
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null,
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filters,
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params,
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);
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return rawQuery(
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`select sum(t.c) as "pageviews",
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count(distinct t.session_id) as "uniques",
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sum(case when t.c = 1 then 1 else 0 end) as "bounces",
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sum(t.time) as "totaltime"
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from (
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select pageview.session_id,
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${getDateQuery('pageview.created_at', 'hour')},
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count(*) c,
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${getTimestampInterval('pageview.created_at')} as "time"
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from pageview
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join website
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on pageview.website_id = website.website_id
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${joinSession}
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where website.website_uuid = $1${toUuid()}
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and pageview.created_at between $2 and $3
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${pageviewQuery}
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${sessionQuery}
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group by 1, 2
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) t`,
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params,
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);
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}
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async function clickhouseQuery(websiteId, { start_at, end_at, filters = {} }) {
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const { rawQuery, getDateQuery, getBetweenDates, parseFilters } = clickhouse;
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const params = [websiteId];
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const { pageviewQuery, sessionQuery } = parseFilters(null, filters, params);
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return rawQuery(
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`select
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sum(t.c) as "pageviews",
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count(distinct t.session_id) as "uniques",
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sum(if(t.c = 1, 1, 0)) as "bounces",
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sum(if(max_time < min_time + interval 1 hour, max_time-min_time, 0)) as "totaltime"
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from (
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select session_id,
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${getDateQuery('created_at', 'day')} time_series,
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count(*) c,
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min(created_at) min_time,
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max(created_at) max_time
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from event
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where event_name = ''
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and website_id = $1
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and ${getBetweenDates('created_at', start_at, end_at)}
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${pageviewQuery}
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${sessionQuery}
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group by session_id, time_series
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) t;`,
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params,
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);
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}
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