SELECT '2022' AS year, monthNo, 'FULL' AS kyc, risk_catg, 'Daily' as Frequency, SUM(IF(Z.accAdded >= Z.limit, 1, 0)) AS breaches, 'WalletWithdrawalBankAccAddedDaily' as rule FROM
(SELECT A.user_id, A.account_bank_sha, IF(C.hml_category IS NOT NULL, C.hml_category, 'LOW RISK') AS risk_catg, month(A.created) as monthNo, COUNT(DISTINCT B.account_bank_sha) as accAdded,
CASE WHEN C.hml_category = 'HIGH RISK' THEN 2 WHEN C.hml_category = 'MEDIUM RISK' THEN 3 WHEN C.hml_category IS NULL THEN 5 END AS limit FROM
(SELECT DISTINCT user_id, created, account_bank_sha
FROM payment.accounts
WHERE year = 2022)A
LEFT JOIN
(SELECT DISTINCT user_id, created, account_bank_sha
FROM payment.accounts
WHERE year = 2022)B
ON A.user_id = B.user_id AND A.account_bank_sha <> B.account_bank_sha AND ((UNIX_TIMESTAMP(A.created) - UNIX_TIMESTAMP(B.created))/86400) BETWEEN 0 AND 1
LEFT JOIN
(SELECT DISTINCT senderuserid, hml_category FROM fraud.hml_classification)C
ON A.user_id = C.senderuserid
INNER JOIN
(SELECT DISTINCT user_ext_id FROM users.users WHERE kyc NOT IN ('MIN_KYC', 'MIN_KYC_V2'))D
ON A.user_id = D.user_ext_id
GROUP BY A.user_id, A.account_bank_sha, C.hml_category, month(A.created))Z
GROUP BY monthNo, risk_catg
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