umami/queries/analytics/reports/getFunnel.ts

120 lines
2.8 KiB
TypeScript

import clickhouse from 'lib/clickhouse';
import { CLICKHOUSE, PRISMA, runQuery } from 'lib/db';
import prisma from 'lib/prisma';
export async function getFunnel(
...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, urlParams } = getFunnelQuery(
urls,
endDate,
websiteId,
windowMinutes,
);
const params: any = [websiteId, startDate, endDate, ...urlParams];
return rawQuery(
`WITH level1 AS (
select distinct session_id, created_at
from website_event
where website_id = {{websiteId}}${toUuid()}
and created_at between {{startDate}} and {{endDate}}
and url_path = $4)
${levelQuery}
${sumQuery}
ORDER BY level;`,
params,
).then(results => {
return urls.map((a, i) => ({
x: a,
y: results[i]?.count || 0,
z: (1 - (Number(results[i]?.count) * 1.0) / Number(results[i - 1]?.count)) * 100 || 0, // drop off
}));
});
}
async function clickhouseQuery(
websiteId: string,
criteria: {
windowMinutes: number;
startDate: Date;
endDate: Date;
urls: string[];
},
): Promise<
{
x: string;
y: number;
z: number;
}[]
> {
const { windowMinutes, startDate, endDate, urls } = criteria;
const { rawQuery, getFunnelQuery } = clickhouse;
const { levelQuery, sumQuery, urlFilterQuery, urlParams } = getFunnelQuery(urls, windowMinutes);
const params = {
websiteId,
startDate,
endDate,
...urlParams,
};
return rawQuery<{ level: number; count: number }[]>(
`
WITH level0 AS (
select distinct session_id, url_path, referrer_path, created_at
from umami.website_event
where url_path in (${urlFilterQuery})
and website_id = {websiteId:UUID}
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
), level1 AS (
select *
from level0
where url_path = {url0:String})
${levelQuery}
select *
from (
${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
}));
});
}