umami/src/queries/analytics/eventData/getEventDataFields.ts
2023-09-29 11:00:06 -07:00

75 lines
2.1 KiB
TypeScript

import prisma from 'lib/prisma';
import clickhouse from 'lib/clickhouse';
import { CLICKHOUSE, PRISMA, runQuery } from 'lib/db';
import { QueryFilters, WebsiteEventData } from 'lib/types';
export async function getEventDataFields(
...args: [websiteId: string, filters: QueryFilters & { field?: string }]
): Promise<WebsiteEventData[]> {
return runQuery({
[PRISMA]: () => relationalQuery(...args),
[CLICKHOUSE]: () => clickhouseQuery(...args),
});
}
async function relationalQuery(websiteId: string, filters: QueryFilters & { field?: string }) {
const { rawQuery, parseFilters } = prisma;
const { filterQuery, params } = await parseFilters(websiteId, filters, {
columns: { field: 'event_key' },
});
return rawQuery(
`
select
event_key as "fieldName",
data_type as "dataType",
string_value as "fieldValue",
count(*) as "total"
from event_data
where website_id = {{websiteId::uuid}}
and created_at between {{startDate}} and {{endDate}}
${filterQuery}
group by event_key, data_type, string_value
order by 3 desc, 2 desc, 1 asc
limit 100
`,
params,
);
}
async function clickhouseQuery(
websiteId: string,
filters: QueryFilters & { field?: string },
): Promise<{ fieldName: string; dataType: number; fieldValue: string; total: number }[]> {
const { rawQuery, parseFilters } = clickhouse;
const { filterQuery, params } = await parseFilters(websiteId, filters, {
columns: { field: 'event_key' },
});
return rawQuery(
`
select
event_key as fieldName,
data_type as dataType,
string_value as fieldValue,
count(*) as total
from event_data
where website_id = {websiteId:UUID}
and created_at between {startDate:DateTime64} and {endDate:DateTime64}
${filterQuery}
group by event_key, data_type, string_value
order by 3 desc, 2 desc, 1 asc
limit 100
`,
params,
).then(a => {
return Object.values(a).map(a => {
return {
fieldName: a.fieldName,
dataType: Number(a.dataType),
fieldValue: a.fieldValue,
total: Number(a.total),
};
});
});
}