EGV REDEEM TXN AMT PER TXN

SELECT '2022' AS year, Z.month, 'MIN + FULL' as kyc, Z.risk_catg, 'PerTxn' as Frequency, SUM(IF(Z.amt >= Z.limit, 1, 0)) AS breaches, 'egvRedeemTxnAmtPerTxn' as Rule FROM
    (SELECT A.user_id, A.txn_id, A.amt, month(A.txnTime) as month, 
    IF(C.hml_category IS NOT NULL, C.hml_category, 'LOW RISK') AS risk_catg, 
    CASE WHEN C.hml_category = 'HIGH RISK' THEN IF(10000 > (SUM(B.amt) * 0.7), 10000, (SUM(B.amt) * 0.7)) 
    WHEN C.hml_category = 'MEDIUM RISK' THEN IF(15000 > (SUM(B.amt) * 0.8), 15000, (SUM(B.amt) * 0.8))
    ELSE IF(20000 > SUM(B.amt), 20000, SUM(B.amt)) END AS limit FROM
        (SELECT DISTINCT user_id, transaction_id as txn_id, updated_at AS txnTime, execution_amount/100 as amt
        from egv.transaction_data 
        where year = 2022 and operation like 'REDEEM%'
        AND response_code = 'SUCCESS' AND egv_transaction_state = 'SUCCESS')A
    INNER JOIN
        (SELECT DISTINCT user_id, card_number, original_balance/100 AS amt, created_at
        FROM egv.gift_cards
        WHERE year = 2022)B
    ON A.user_id = B.user_id AND ((UNIX_TIMESTAMP(A.txnTime) - UNIX_TIMESTAMP(B.created_at))/2592000) BETWEEN 0 AND 1
    LEFT JOIN
        (SELECT DISTINCT senderuserid, hml_category FROM fraud.hml_classification)C
    ON A.user_id = C.senderuserid
    GROUP BY A.user_id,  A.txn_id, A.amt, month(A.txnTime), C.hml_category)Z
GROUP BY Z.month, Z.risk_catg