TPAP: RISK_307

-- DROP TABLE team_kingkong.tpap_risk307_breaches;

-- CREATE TABLE team_kingkong.tpap_risk307_breaches AS
INSERT INTO team_kingkong.tpap_risk307_breaches
with tpap_base as
(
SELECT B.*, C.category
, IF(D.upi_subtype IS NOT NULL, D.upi_subtype, IF(C.category = 'LITE_MANDATE', 'UPI_LITE_MANDATE', '')) AS upi_subtype
FROM
    (SELECT txn_id, scope_cust_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(created_on) as txn_date,
    MAX(amount) AS txn_amount,
    created_on AS txn_time
    FROM switch.txn_participants_snapshot_v3
    WHERE DATE(dl_last_updated) BETWEEN DATE'2025-01-01' AND DATE'2025-01-31'
    AND DATE(created_on) BETWEEN DATE'2025-01-01' AND DATE'2025-01-31'
    AND vpa IS NOT NULL
    GROUP BY 1,2,7)B
inner join
    (select txn_id, category
    from switch.txn_info_snapshot_v3
    where DATE(dl_last_updated) BETWEEN DATE'2025-01-01' AND DATE'2025-01-31'
    and DATE(created_on) BETWEEN DATE'2025-01-01' AND DATE'2025-01-31'
    and upper(status) in ('SUCCESS')
    AND category = 'VPA2MERCHANT') C
on B.txn_id = C.txn_id
LEFT JOIN
    (SELECT DISTINCT txnid
    , regexp_replace(cast(json_extract(request, '$.evaluationType') as varchar), '"', '') AS upi_subtype
    FROM tpap_hss.upi_switchv2_dwh_risk_data_snapshot_v3
    WHERE DATE(dl_last_updated) BETWEEN date'2025-01-01' AND DATE'2025-01-31'
    AND (lower(regexp_replace(cast(json_extract(request, '$.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')D
ON B.txn_id = D.txnid
WHERE (payer_vpa LIKE '%@paytm%') OR (payer_vpa LIKE '%@pt%') -- OR (payee_vpa LIKE '%@pt%') OR (payee_vpa LIKE '%@paytm%')
AND payee_vpa LIKE '%@%' AND payee_vpa <> ''
)

SELECT * FROM
    (SELECT t1.payer_vpa,
      t1.payee_vpa,
      t1.txn_id,
      t1.txn_amount,
      t1.txn_time,
      t1.category,
      t1.upi_subtype,
      COUNT(t2.txn_id) AS prior_txns_last_24h,
      10 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 t2.txn_time BETWEEN (t1.txn_time - INTERVAL '24' HOUR) AND t1.txn_time
      AND t2.txn_amount > 1000
    GROUP BY t1.payer_vpa, t1.payee_vpa, t1.txn_id, t1.txn_amount, t1.txn_time, t1.category, t1.upi_subtype)
WHERE prior_txns_last_24h > threshold;