umami/queries/analytics/session/getSessionMetrics.ts

176 lines
4.6 KiB
TypeScript

import prisma from 'lib/prisma';
import clickhouse from 'lib/clickhouse';
import { runQuery, CLICKHOUSE, PRISMA, MONGODB } from 'lib/db';
import { EVENT_TYPE } from 'lib/constants';
import { loadWebsite } from 'lib/query';
export async function getSessionMetrics(
...args: [
websiteId: string,
criteria: { startDate: Date; endDate: Date; column: string; filters: object },
]
) {
return runQuery({
[PRISMA]: () => relationalQuery(...args),
[MONGODB]: () => mongodbQuery(...args),
[CLICKHOUSE]: () => clickhouseQuery(...args),
});
}
async function relationalQuery(
websiteId: string,
criteria: { startDate: Date; endDate: Date; column: string; filters: object },
) {
const website = await loadWebsite(websiteId);
const resetDate = new Date(website?.resetAt || website?.createdAt);
const { startDate, endDate, column, filters = {} } = criteria;
const { toUuid, parseFilters, rawQuery } = prisma;
const params: any = [websiteId, resetDate, startDate, endDate];
const { filterQuery, joinSession } = parseFilters(filters, params);
return rawQuery(
`select ${column} x, count(*) y
from session as x
where x.session_id in (
select website_event.session_id
from website_event
join website
on website_event.website_id = website.website_id
${joinSession}
where website.website_id = $1${toUuid()}
and website_event.created_at >= $2
and website_event.created_at between $3 and $4
${filterQuery}
)
group by 1
order by 2 desc
limit 100`,
params,
);
}
async function clickhouseQuery(
websiteId: string,
data: { startDate: Date; endDate: Date; column: string; filters: object },
) {
const { startDate, endDate, column, filters = {} } = data;
const { getDateFormat, parseFilters, getBetweenDates, rawQuery } = clickhouse;
const website = await loadWebsite(websiteId);
const resetDate = new Date(website?.resetAt || website?.createdAt);
const params = { websiteId };
const { filterQuery } = parseFilters(filters, params);
return rawQuery(
`select ${column} x, count(distinct session_id) y
from website_event as x
where website_id = {websiteId:UUID}
and event_type = ${EVENT_TYPE.pageView}
and created_at >= ${getDateFormat(resetDate)}
and ${getBetweenDates('created_at', startDate, endDate)}
${filterQuery}
group by x
order by y desc
limit 100`,
params,
);
}
async function mongodbQuery(
websiteId: string,
criteria: { startDate: Date; endDate: Date; column: string; filters: object },
) {
const website = await loadWebsite(websiteId);
const resetDate = new Date(website?.resetAt || website?.createdAt);
const { startDate, endDate, column, filters = {} } = criteria;
const { parseMongoFilter, client } = prisma;
const mongoFilter = parseMongoFilter(filters);
return await client.websiteEvent.aggregateRaw({
pipeline: [
mongoFilter,
{
$match: {
$expr: {
$and: [
{
$eq: ['$website_id', websiteId],
},
{
$gte: [
'$created_at',
{
$dateFromString: {
dateString: resetDate.toISOString(),
},
},
],
},
{
$gte: [
'$created_at',
{
$dateFromString: {
dateString: startDate.toISOString(),
},
},
],
},
{
$lte: [
'$created_at',
{
$dateFromString: {
dateString: endDate.toISOString(),
},
},
],
},
],
},
},
},
{
$group: {
_id: '$session_id',
},
},
{
$lookup: {
from: 'session',
localField: '_id',
foreignField: '_id',
as: 'session',
},
},
{
$project: {
session: {
$arrayElemAt: ['$session', 0],
},
},
},
{
$group: {
_id: '$session.' + column,
sum: {
$sum: 1,
},
},
},
{
$project: {
x: '$_id',
y: '$sum',
_id: 0,
},
},
{
$sort: {
sum: -1,
},
},
{
$limit: 100,
},
],
});
}