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116 lines
2.7 KiB
TypeScript
116 lines
2.7 KiB
TypeScript
import clickhouse from 'lib/clickhouse';
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import { CLICKHOUSE, PRISMA, runQuery } from 'lib/db';
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import prisma from 'lib/prisma';
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export async function getPageviewFunnel(
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...args: [
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websiteId: string,
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criteria: {
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windowMinutes: number;
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startDate: Date;
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endDate: Date;
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urls: string[];
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},
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]
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) {
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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(
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websiteId: string,
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criteria: {
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windowMinutes: number;
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startDate: Date;
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endDate: Date;
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urls: string[];
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},
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): Promise<
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{
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x: string;
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y: number;
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}[]
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> {
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const { windowMinutes, startDate, endDate, urls } = criteria;
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const { rawQuery, getFunnelQuery, toUuid } = prisma;
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const { levelQuery, sumQuery, urlFilterQuery } = getFunnelQuery(urls, windowMinutes);
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const params: any = [websiteId, startDate, endDate, ...urls];
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return rawQuery(
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`WITH level0 AS (
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select session_id, url_path, referrer_path, created_at
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from website_event
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where url_path in (${urlFilterQuery})
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and website_id = $1${toUuid()}
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and created_at between $2 and $3
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),level1 AS (
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select session_id, url_path as level_1_url, created_at as level_1_created_at
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from level0
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where url_path = $4
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)${levelQuery}
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SELECT ${sumQuery}
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from level3;
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`,
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params,
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).then((a: { [key: string]: number }) => {
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return urls.map((b, i) => ({ x: b, y: a[`level${i + 1}`] || 0 }));
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});
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}
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async function clickhouseQuery(
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websiteId: string,
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criteria: {
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windowMinutes: number;
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startDate: Date;
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endDate: Date;
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urls: string[];
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},
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): Promise<
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{
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x: string;
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y: number;
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}[]
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> {
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const { windowMinutes, startDate, endDate, urls } = criteria;
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const { rawQuery, getBetweenDates, getFunnelQuery } = clickhouse;
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const { columnsQuery, conditionQuery, urlParams } = getFunnelQuery(urls);
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const params = {
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websiteId,
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window: windowMinutes * 60,
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...urlParams,
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};
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return rawQuery<{ level: number; count: number }[]>(
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`
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SELECT level,
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count(*) AS count
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FROM (
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SELECT session_id,
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windowFunnel({window:UInt32}, 'strict_order')
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(
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created_at
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${columnsQuery}
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) AS level
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FROM website_event
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WHERE website_id = {websiteId:UUID}
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and ${getBetweenDates('created_at', startDate, endDate)}
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AND (url_path in [${conditionQuery}])
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GROUP BY 1
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)
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GROUP BY level
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ORDER BY level ASC;
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`,
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params,
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).then(results => {
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return urls.map((a, i) => ({
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x: a,
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y: results[i + 1]?.count || 0,
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}));
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});
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}
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