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106 lines
2.7 KiB
TypeScript
106 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 { WebsiteEventDataMetric } from 'lib/types';
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import { loadWebsite } from 'lib/query';
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import { DEFAULT_CREATED_AT } from 'lib/constants';
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export interface EventDataCriteria {
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fields: [{ name: string; type: string; value: string }];
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filters: [
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{
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name: string;
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type: string;
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value: [string, string];
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},
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];
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groups: [
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{
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name: string;
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type: string;
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},
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];
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}
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export async function getEventData(
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...args: [websiteId: string, startDate: Date, endDate: Date, criteria: EventDataCriteria]
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): Promise<WebsiteEventDataMetric[]> {
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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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return null;
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}
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async function clickhouseQuery(
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websiteId: string,
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startDate: Date,
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endDate: Date,
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criteria: EventDataCriteria,
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) {
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const { fields, filters } = criteria;
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const { rawQuery, getDateFormat, getBetweenDates } = clickhouse;
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const website = await loadWebsite(websiteId);
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const resetDate = new Date(website?.resetAt || DEFAULT_CREATED_AT);
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const uniqueFields = fields.reduce((obj, { name, type, value }) => {
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const prefix = type === 'array' ? 'string' : type;
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if (!obj[name]) {
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obj[name] = {
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columns: [
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'event_key as field',
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`count(*) as total`,
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value === 'unique' ? `${prefix}_value as value` : null,
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].filter(n => n),
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groups: ['event_key', value === 'unique' ? `${prefix}_value` : null].filter(n => n),
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};
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}
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return obj;
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}, {});
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const queries = Object.keys(uniqueFields).reduce((arr, key) => {
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const field = uniqueFields[key];
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const params = { websiteId, name: key };
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return arr.concat(
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rawQuery(
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`select
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${field.columns.join(',')}
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from event_data
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where website_id = {websiteId:UUID}
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and event_key = {name:String}
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and created_at >= ${getDateFormat(resetDate)}
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and ${getBetweenDates('created_at', startDate, endDate)}
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group by ${field.groups.join(',')}
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limit 100
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`,
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params,
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),
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);
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}, []);
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const results = (await Promise.all(queries)).flatMap(n => n);
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const columns = results.reduce((arr, row) => {
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const keys = Object.keys(row);
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for (const key of keys) {
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if (!arr.includes(key)) {
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arr.push(key);
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}
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}
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return arr;
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}, []);
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return results.reduce((arr, row) => {
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return arr.concat(
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columns.reduce((obj, key) => {
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obj[key] = row[key];
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return obj;
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}, {}),
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);
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}, []);
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}
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