Update db_lookup SQL and request schema

main.sql

@@ -22,7 +22,8 @@ current_app AS (
     SELECT
         application_key AS current_app_key,
         application_timestamp AS current_app_created_at,
-        $hd_score_m1 AS hd_score_m1
+        $hd_score_m1 AS hd_score_m1,
+        $hd_score_iso_m2 AS hd_score_iso_m2
     FROM abc
     WHERE application_key = $application_key  
 ),
@@ -41,6 +42,7 @@ clusters_alt AS (
         b.current_app_key,
         b.current_app_created_at,
         b.hd_score_m1,
+        b.hd_score_iso_m2,
         CASE
             WHEN LOWER(CAST(a.originated_loan_is_fraud AS TEXT)) != 'true'
                 AND a.originated_loan_is_never_paid IS NULL THEN NULL
@@ -76,6 +78,7 @@ clusters AS (
     SELECT
         a.current_app_key AS application_key,
         CAST(MAX(hd_score_m1) AS FLOAT) AS hd_score_m1,
+        CAST(MAX(hd_score_iso_m2) AS FLOAT) AS hd_score_iso_m2,
         COUNT(DISTINCT a.user_connected_v2) AS cluster_size_users_v2,
         MAX(b.target_connected_30_sum) AS target_connected_30_sum,
         COUNT(DISTINCT a.connected_email) AS email_cnt,
@@ -90,6 +93,7 @@ clusters AS (
 
 SELECT
 	COALESCE(MAX(hd_score_m1), $hd_score_m1)     AS hd_score_m1,
+    COALESCE(MAX(hd_score_iso_m2), $hd_score_iso_m2)     AS hd_score_iso_m2,
 	COALESCE(MAX(cluster_size_users_v2), 0)      AS cluster_size_users_v2,
 	COALESCE(MAX(target_connected_30_sum), 0)    AS target_connected_30_sum,
 	COALESCE(MAX(email_cnt), 0)                  AS email_cnt,

request_schema.json

@@ -10,6 +10,10 @@
       "type": ["number", "null"],
       "description": "HD fraud score M1."
     },
+    "hd_score_iso_m2": {
+      "type": ["number", "null"],
+      "description": "HD fraud score M2."
+    },
     "connected_application_keys": {
       "type": "array",
       "items": {