-- RISK 318
DROP TABLE team_kingkong.tpap_risk318_breaches;

-- CREATE TABLE team_kingkong.tpap_risk318_breaches AS
INSERT INTO team_kingkong.tpap_risk318_breaches
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.os, D.ios_version
, 'ios_version_block' AS rule_name
, 'Txn on ios < v17' AS breach_reason
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') C
on B.txn_id = C.txn_id
INNER JOIN
    (SELECT txnid
    , regexp_replace(cast(json_extract(request, '$.evaluationType') as varchar), '"', '') AS upi_subtype
    , regexp_replace(cast(json_extract(request, '$.requestPayload.osVersion') as varchar), '"', '') AS os
    , SUBSTRING(REGEXP_REPLACE(CAST(JSON_EXTRACT(request, '$.requestPayload.osVersion') AS VARCHAR), '"', ''),4,3) as ios_version
    FROM tpap_hss.upi_switchv2_dwh_risk_data_snapshot_v3
    WHERE DATE(dl_last_updated) BETWEEN DATE(DATE'2025-01-01' - INTERVAL '1' DAY) AND DATE'2025-01-31'
    AND (lower(regexp_replace(cast(json_extract(request, '$.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.osVersion') as varchar), '"', '') LIKE 'iOS%'
    AND SUBSTRING(REGEXP_REPLACE(CAST(JSON_EXTRACT(request, '$.requestPayload.osVersion') AS VARCHAR), '"', ''),4,3) <> ''
    AND CAST(SUBSTRING(REGEXP_REPLACE(CAST(JSON_EXTRACT(request, '$.requestPayload.osVersion') AS VARCHAR), '"', ''),4,3) AS DOUBLE) < 17
    AND regexp_replace(cast(json_extract(request, '$.evaluationType') as varchar), '"', '') IN ('UPI_TRANSACTION', 'UPI_LITE_TRANSACTION'))D
ON B.txn_id = D.txnid
WHERE (payer_vpa LIKE '%@paytm%') OR (payer_vpa LIKE '%@pt%');