-- RISK 306
-- If payer account and payee vpa count of p2p transactions in previous 24 hours is more than equal to 10 then BLOCK
DROP TABLE team_kingkong.tpap_risk306_breaches;
-- CREATE TABLE team_kingkong.tpap_risk306_breaches AS
INSERT INTO team_kingkong.tpap_risk306_breaches -- JUNE PENDING
with tpap_base as
(SELECT DISTINCT B.*, C.category
, IF(D.upi_subtype IS NOT NULL, D.upi_subtype, IF(C.category = 'LITE_MANDATE', 'UPI_LITE_MANDATE', '')) AS upi_subtype
, D.payer_ifsc
FROM
(SELECT txn_id,
MAX(CASE WHEN participant_type = 'PAYER' THEN vpa END) AS payer_vpa,
MAX(CASE WHEN participant_type = 'PAYEE' THEN vpa END) AS payee_vpa,
MAX(DATE(created_on)) as txn_date,
MAX(amount) AS txn_amount,
MAX(created_on) AS txn_time
FROM switch.txn_participants_snapshot_v3
WHERE DATE(dl_last_updated) BETWEEN DATE(DATE'2025-01-01' - INTERVAL '1' DAY) AND DATE'2025-01-31'
AND DATE(created_on) BETWEEN DATE(DATE'2025-01-01' - INTERVAL '1' DAY) AND DATE'2025-01-31'
GROUP BY 1)B
inner join
(select txn_id, category
from switch.txn_info_snapshot_v3
where DATE(dl_last_updated) BETWEEN DATE(DATE'2025-01-01' - INTERVAL '1' DAY) AND DATE'2025-01-31'
and DATE(created_on) BETWEEN DATE(DATE'2025-01-01' - INTERVAL '1' DAY) AND DATE'2025-01-31'
and upper(status) = 'SUCCESS' AND category = 'VPA2MERCHANT') C
on B.txn_id = C.txn_id
INNER JOIN
(SELECT txnid
, regexp_replace(cast(json_extract(request, '$.evaluationType') as varchar), '"', '') AS upi_subtype
, json_extract_scalar(request, '$.requestPayload.payerIfsc') AS payer_ifsc
FROM tpap_hss.upi_switchv2_dwh_risk_data_snapshot_v3
WHERE DATE(dl_last_updated) BETWEEN DATE(date'2025-01-01' - INTERVAL '1' DAY) AND DATE'2025-01-31'
AND (lower(regexp_replace(cast(json_extract(request, '$.requestPayload.payerVpa') as varchar), '"', '')) LIKE '%@paytm%'
or lower(regexp_replace(cast(json_extract(request, '$.requestPayload.payerVpa') as varchar), '"', '')) like '%@pt%')
AND json_extract_scalar(response, '$.action_recommended') <> 'BLOCK'
AND regexp_replace(cast(json_extract(request, '$.requestPayload.payerType') AS varchar),'"','') = 'PERSON'
AND regexp_replace(cast(json_extract(request, '$.requestPayload.payeeType') AS varchar),'"','') = 'ENTITY'
AND regexp_replace(cast(json_extract(request, '$.evaluationType') as varchar), '"', '') = 'UPI_TRANSACTION')D
ON B.txn_id = D.txnid
WHERE ((payer_vpa LIKE '%@paytm%') OR (payer_vpa LIKE '%@pt%'))
AND payee_vpa LIKE '%@%'
AND payee_vpa NOT IN ('7068069067@ptyes', 'onpaytmgas@paytm', '7068069067@ptsbi', '7068069067@pthdfc', '7068069067@paytm', '7068069067@ptaxis')
AND payer_ifsc IS NOT NULL)
SELECT *, 'upi_payer_payee_combination_txn_count_p2m' AS rule_name, '24hr txn cnt threshold breach' as breach_reason
, CURRENT_DATE AS easy_reports_last_updated FROM
(SELECT t1.payer_vpa,
t1.payee_vpa,
t1.payer_ifsc,
t1.txn_id,
t1.txn_amount,
t1.category,
t1.upi_subtype,
t1.txn_time,
t1.txn_date,
COUNT(t2.txn_id) AS prior_txns_last_24h,
15 as threshold
FROM tpap_base t1
INNER JOIN tpap_base t2
ON t1.payer_vpa = t2.payer_vpa
AND t1.payee_vpa = t2.payee_vpa
AND t1.payer_ifsc = t2.payer_ifsc
AND t2.txn_time BETWEEN (t1.txn_time - INTERVAL '86400' SECOND) AND t1.txn_time
AND t1.txn_id <> t2.txn_id AND t1.txn_date BETWEEN DATE'2025-01-01' AND DATE'2025-01-31'
GROUP BY t1.payer_vpa, t1.payee_vpa, t1.txn_id, t1.txn_amount, t1.category, t1.upi_subtype, t1.txn_time, t1.txn_date, t1.payer_ifsc)
WHERE prior_txns_last_24h > threshold
;
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