umami/queries/analytics/event/getEventMetrics.ts

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import prisma from 'lib/prisma';
import clickhouse from 'lib/clickhouse';
import { runQuery, CLICKHOUSE, PRISMA } from 'lib/db';
import { WebsiteEventMetric } from 'lib/types';
import { EVENT_TYPE } from 'lib/constants';
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import { loadWebsite } from 'lib/query';
export async function getEventMetrics(
...args: [
websiteId: string,
data: {
startDate: Date;
endDate: Date;
timezone: string;
unit: string;
filters: {
url: string;
eventName: string;
};
},
]
): Promise<WebsiteEventMetric[]> {
return runQuery({
[PRISMA]: () => relationalQuery(...args),
[CLICKHOUSE]: () => clickhouseQuery(...args),
});
}
async function relationalQuery(
websiteId: string,
{
startDate,
endDate,
timezone = 'utc',
unit = 'day',
filters,
}: {
startDate: Date;
endDate: Date;
timezone: string;
unit: string;
filters: {
url: string;
eventName: string;
};
},
) {
const { toUuid, rawQuery, getDateQuery, getFilterQuery } = prisma;
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const website = await loadWebsite(websiteId);
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const resetDate = new Date(website?.resetAt || website?.createdAt);
const params: any = [websiteId, resetDate, startDate, endDate];
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const filterQuery = getFilterQuery(filters, params);
return rawQuery(
`with event_data as (
select d.website_event_id,
jsonb_object_agg(
d.event_key,
case
d.event_data_type
when 1 then to_jsonb(d.event_string_value) -- string
when 2 then to_jsonb(d.event_numeric_value) -- number
when 3 then to_jsonb(d.event_bool_value) -- boolean
when 4 then to_jsonb(d.event_date_value) -- date
when 5 then d.event_string_value::jsonb -- array
end
) filter (
where d.event_key is not null
) as event_data
from event_data d
group by d.website_event_id
)
select
w.event_name x,
e.event_data d,
${getDateQuery('w.created_at', unit, timezone)} t,
count(*) y
from website_event w
left join event_data d on w.event_id = d.website_event_id
where website_id = $1${toUuid()}
and created_at >= $2
and created_at between $3 and $4
and event_type = ${EVENT_TYPE.customEvent}
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${filterQuery}
group by 1, 2, 3
order by 3`,
params,
);
}
async function clickhouseQuery(
websiteId: string,
{
startDate,
endDate,
timezone = 'utc',
unit = 'day',
filters,
}: {
startDate: Date;
endDate: Date;
timezone: string;
unit: string;
filters: {
url: string;
eventName: string;
};
},
) {
const { rawQuery, getDateQuery, getDateFormat, getBetweenDates, getFilterQuery } = clickhouse;
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const website = await loadWebsite(websiteId);
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const resetDate = new Date(website?.resetAt || website?.createdAt);
const params = { websiteId };
return rawQuery(
`with event_data as (
select d.website_event_id,
jsonb_object_agg(
d.event_key,
case
d.event_data_type
when 1 then to_jsonb(d.event_string_value) -- string
when 2 then to_jsonb(d.event_numeric_value) -- number
when 3 then to_jsonb(d.event_bool_value) -- boolean
when 4 then to_jsonb(d.event_date_value) -- date
when 5 then d.event_string_value::jsonb -- array
end
) filter (
where d.event_key is not null
) as event_data
from event_data d
group by d.website_event_id
)
select
w.event_name x,
d.event_data d,
${getDateQuery('w.created_at', unit, timezone)} t,
count(*) y
from website_event w
left join event_data d on w.event_id = d.website_event_id
where website_id = {websiteId:UUID}
and w.event_type = ${EVENT_TYPE.customEvent}
and w.created_at >= ${getDateFormat(resetDate)}
and ${getBetweenDates('w.created_at', startDate, endDate)}
${getFilterQuery(filters, params)}
group by x, d, t
order by t`,
params,
);
}