Rule 3 weekly

-- WEEKLY LIMIT ON EGV PURCHASE AMT : RULE 3 ROLLING
SELECT '2022' AS year, '5' as month, 'HML_DISTINCT_MERCHANT_PAYMENT_WALLET_TXN_LIMIT' as rule_name, 'LIVE' AS status, 'MIN + FULL' as kyc, P.catg, 'Hourly' as Frequency, P.breaches FROM
  (SELECT Z.catg, COUNT(DISTINCT Z.transaction_id) AS breaches FROM
    (SELECT A.senderuserid, A.transaction_id, SUM(B.totaltransactionamount) AS totAmt,
    IF(C.hml_category IS NOT NULL, C.hml_category, 'LOW RISK') AS catg, 
    CASE WHEN C.hml_category = 'HIGH RISK' THEN 40000 WHEN C.hml_category = 'MEDIUM RISK' THEN 80000 ELSE 80000 END AS limit FROM
        (SELECT senderuserid, updated_date as txnTime, transaction_id, totaltransactionamount
        from fraud.transaction_details     
        where year(updated_date) = 2022 and month(updated_date) = 5
        and transaction_details.sendertype = 'INTERNAL_USER'
        and transaction_details.pay_transaction_status = 'COMPLETED'
        and transaction_details.receiveruser = 'PHONEPEGC')A
    LEFT JOIN
        (SELECT senderuserid, updated_date as txnTime, transaction_id, totaltransactionamount
        from fraud.transaction_details     
        where year(updated_date) = 2022 and month(updated_date) = 5
        and transaction_details.sendertype = 'INTERNAL_USER'
        and transaction_details.pay_transaction_status = 'COMPLETED'
        and transaction_details.receiveruser = 'PHONEPEGC')B
    ON A.senderuserid = B.senderuserid AND ((UNIX_TIMESTAMP(A.txnTime) - UNIX_TIMESTAMP(B.txnTime))/604800) BETWEEN 0 AND 1 AND A.txnTime > B.txnTime
    LEFT JOIN
        (SELECT DISTINCT senderuserid, hml_category
        FROM fraud.hml_classification)C
    ON A.senderuserid = C.senderuserid
    GROUP BY A.senderuserid, A.transaction_id, C.hml_category)Z
WHERE Z.totAmt > Z.limit
GROUP BY Z.catg)P