umami/queries/analytics/pageview/getPageviewFunnel.ts
2023-07-24 11:57:46 -07:00

119 lines
2.9 KiB
TypeScript

import clickhouse from 'lib/clickhouse';
import { CLICKHOUSE, PRISMA, runQuery } from 'lib/db';
import prisma from 'lib/prisma';
export async function getPageviewFunnel(
...args: [
websiteId: string,
criteria: {
windowMinutes: number;
startDate: Date;
endDate: Date;
urls: string[];
},
]
) {
return runQuery({
[PRISMA]: () => relationalQuery(...args),
[CLICKHOUSE]: () => clickhouseQuery(...args),
});
}
async function relationalQuery(
websiteId: string,
criteria: {
windowMinutes: number;
startDate: Date;
endDate: Date;
urls: string[];
},
): Promise<
{
x: string;
y: number;
z: number;
}[]
> {
const { windowMinutes, startDate, endDate, urls } = criteria;
const { rawQuery, getFunnelQuery, toUuid } = prisma;
const { levelQuery, sumQuery, urlFilterQuery } = getFunnelQuery(urls, windowMinutes);
const params: any = [websiteId, startDate, endDate, ...urls];
return rawQuery(
`WITH level0 AS (
select distinct session_id, url_path, referrer_path, created_at
from website_event
where url_path in (${urlFilterQuery})
and website_id = $1${toUuid()}
and created_at between $2 and $3
),level1 AS (
select distinct session_id, created_at
from level0
where url_path = $4
)${levelQuery}
${sumQuery}
ORDER BY level;`,
params,
).then(results => {
return urls.map((a, i) => ({
x: a,
y: results[i]?.count || 0,
z: (1 - (Number(results[i]?.count) * 1.0) / Number(results[i - 1]?.count)) * 100 || 0, // drop off
}));
});
}
async function clickhouseQuery(
websiteId: string,
criteria: {
windowMinutes: number;
startDate: Date;
endDate: Date;
urls: string[];
},
): Promise<
{
x: string;
y: number;
}[]
> {
const { windowMinutes, startDate, endDate, urls } = criteria;
const { rawQuery, getBetweenDates, getFunnelQuery } = clickhouse;
const { columnsQuery, urlParams } = getFunnelQuery(urls);
const params = {
websiteId,
window: windowMinutes * 60,
...urlParams,
};
return rawQuery<{ level: number; count: number }[]>(
`
WITH funnel as (select level,
count(*) AS count
from (
select session_id,
windowFunnel({window:UInt32}, 'strict_increase')
(
created_at
${columnsQuery}
) AS level
from website_event
where website_id = {websiteId:UUID}
and ${getBetweenDates('created_at', startDate, endDate)}
group by 1
)
group by level
order by level asc)
select * from funnel where level > 0;
`,
params,
).then(results => {
return urls.map((a, i) => ({
x: a,
y: results[i]?.count || 0,
z: (1 - (Number(results[i]?.count) * 1.0) / Number(results[i - 1]?.count)) * 100 || 0, // drop off
}));
});
}