I have 2 sulutions in your case. My database is mysql, and I simplify your code for demo, I think you can extend it.
The first is Squeel way, I mixed "sift" in Squeel and "from" in ActiveRecord Query. I installed postgresql and tested my solution just now, It seems hardly to use "squeel" and "epoch from" together, but I found an alternative way in postgresql, it called "date_part". I also modified the sql and reduced the duplications of calculation:
class User < ActiveRecord::Base
sifter :w_computed_metric do
(id * 2).as(computed_metric)
end
sifter :w_age_in_seconds do
(date_part('epoch' , now.func) - date_part('epoch', created_at)).as(age_in_seconds)
end
sifter :w_compound_computed_metric do
(computed_metric / age_in_seconds).as(compound_computed_metric)
end
def self.subquery
select{['*', sift(w_computed_metric) , sift(w_age_in_seconds)]}
end
def self.w_all_additional_metrics
select{['*', sift(w_compound_computed_metric)]}.from("(#{subquery.to_sql}) users")
end
end
It produced the sql:
SELECT *, "users"."computed_metric" / "users"."age_in_seconds" AS compound_computed_metric
FROM (SELECT *,
"users"."id" * 2 AS computed_metric,
date_part('epoch', now()) - date_part('epoch', "users"."created_at") AS age_in_seconds FROM "users"
) users
You can test it using the console:
> User.w_all_additional_metrics.first.computed_metric
=> "2"
> User.w_all_additional_metrics.first.age_in_seconds
=> "633.136693954468"
> User.w_all_additional_metrics.first.compound_computed_metric
=> "0.00315887551471441"
The second is ActiveRecord way, because your sql is not very complicate, so you can chain it in ActiveRecord Query, it's enough with some scopes :
class User < ActiveRecord::Base
scope :w_computed_metric, proc { select('id*2 as computed_metric') }
scope :w_age_in_seconds, proc { select('extract (epoch from (now()-created_at)) as age_in_seconds') }
scope :w_compound_computed_metric, proc { select('computed_metric/age_in_seconds as compound_computed_metric') }
def self.subquery
select('*').w_computed_metric.w_age_in_seconds
end
def self.w_all_additional_metrics
subquery.w_compound_computed_metric.from("(#{subquery.to_sql}) users")
end
end
This produces the following SQL:
SELECT
*, id*2 as computed_metric,
extract (epoch from (now()-created_at)) as age_in_seconds,
computed_metric / age_in_seconds as compound_computed_metric
FROM (
SELECT
*,
id*2 as computed_metric,
extract (epoch from (now()-created_at)) as age_in_seconds
FROM
"users"
) users
ORDER BY compound_computed_metric DESC
LIMIT 1
Hope it meets your requirement :)