Group subquery by different column - sql

Question

I have a sub query, where i generate the totals, by date employee_summary_arr.
After i get the records, i put them on a json array.
I want that the same query, to group by month date_truc('month', date_made) on employee_summary_arr_by_month column, but i cant figure an elegant way to do that without running it twice. Here is the SQL query:
SELECT
json_agg(tt) employee_summary_arr
--json_agg(tt) employee_summary_arr_by_month -- This is the same but in the group by should have date_trunc('month', date_made)
FROM (
SELECT
employee_id, "employeeID", first_name, last_name,
date_made,
SUM( CASE WHEN audit_code = 3 OR audit_code = 4 THEN amount ELSE 0 END) sales,
SUM( CASE WHEN audit_code = 25 THEN amount ELSE 0 END) sales_cog,
SUM( CASE WHEN audit_code = 34 THEN amount ELSE 0 END) layaways,
SUM( CASE WHEN audit_code = 35 THEN amount ELSE 0 END) layaways_cog,
SUM( CASE WHEN audit_code = 26 OR audit_code = 27 THEN amount ELSE 0 END) layaways_payments,
SUM( CASE WHEN audit_code = 30 OR audit_code = 31 THEN amount ELSE 0 END) layaways_paid,
SUM( CASE WHEN audit_code = 36 THEN amount ELSE 0 END) layaways_paid_cog,
SUM( CASE WHEN audit_code = 13 THEN amount ELSE 0 END) loans,
SUM( CASE WHEN audit_code = 7 THEN amount ELSE 0 END) loan_receipts,
SUM( CASE WHEN audit_code = 8 THEN amount ELSE 0 END) loan_finance_charge,
SUM( CASE WHEN audit_code = 14 THEN amount ELSE 0 END) purchases
FROM (
SELECT
TH.date_made,
COALESCE(SUM(TH.amount), 0) amount,
AC.description_on_reports,
AC.audit_code,
TH.employee_id, EMP."employeeID", EMP.first_name, EMP.last_name
FROM transaction_transactionhistory TH
LEFT JOIN people_employee EMP ON EMP.id = TH.employee_id
LEFT JOIN sms_admin_auditcode AC ON AC.id = TH.audit_code_id
WHERE TH.store_id = 25
--AND TH.employee_id = 84
AND AC.audit_code IN (3, 4, 25, 34, 35, 26, 27, 30, 31, 36, 13, 7, 8, 14)
GROUP BY TH.date_made, AC.description_on_reports, AC.audit_code,
TH.employee_id, EMP."employeeID", EMP.first_name, EMP.last_name
ORDER BY AC.audit_code
) t
GROUP BY employee_id, "employeeID", first_name, last_name, date_made
)tt

Answer 1

Not very elegant, but you can use windowed sum in your outermost select and do one extra SELECT on top of that for the final aggregations:
SELECT
json_agg((SELECT x FROM (SELECT ttt.employee_id, ttt.sales, [...]) AS x))
AS employee_summary_arr,
json_agg((SELECT x FROM (SELECT ttt.employee_id, ttt.sales_monthly, [...]) AS x))
AS employee_summary_arr_monthly
FROM
(
SELECT
[all the original columns...]
sum(sales) OVER (PARTITION BY employee_id, "employeeID", first_name, last_name, date_trunc('month', date_made))
AS sales_monthly,
[all the other monthly sums...]
FROM [your two inner-most table t and tt...]
) AS ttt