Add hd_score_g2 support and reason-based scoring
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20b2f4afdb
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4
block.py
4
block.py
@ -14,7 +14,8 @@ def __main__(
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hd_score_s1: float,
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hd_score_s2: float,
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hd_score_s3: float,
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hd_score_iso_m2: float
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hd_score_iso_m2: float,
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hd_score_g2: float
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) -> dict:
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data = {
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@ -24,6 +25,7 @@ def __main__(
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"hd_score_s2": hd_score_s2,
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"hd_score_s3": hd_score_s3,
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"hd_score_iso_m2": hd_score_iso_m2,
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"hd_score_g2": hd_score_g2
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}
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final = processing(data)
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@ -10,6 +10,10 @@
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"type": ["number", "null"],
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"description": "HD Fraud Score G1"
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},
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"hd_score_g2": {
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"type": ["number", "null"],
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"description": "HD Fraud Score G1"
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},
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"hd_score_s1": {
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"type": ["number", "null"],
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"description": "HD Fraud Score S1"
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@ -12,26 +12,46 @@ def processing(data: dict) -> dict:
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score_threshold = 1200
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score_threshold2 = 1225
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# ---- Compute hd_score1, hd_score2, final hd_score ----
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# ---- Compute hd_score based on hierarchy ----
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try:
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hd_score1 = max([
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data["hd_score_s1"],
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data["hd_score_s2"],
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data["hd_score_g1"],
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data["hd_score_s3"],
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data["hd_score_m1"],
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])
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reason_hierarchy = [
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("hd_score_s1", "S1 Triggered", score_threshold, True),
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("hd_score_s2", "S2 Triggered", score_threshold, True),
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("hd_score_g1", "G1 Triggered", score_threshold, True),
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("hd_score_s3", "S3 Triggered", score_threshold, True),
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("hd_score_m1", "M1 Triggered", score_threshold, True),
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("hd_score_iso_m2", "M2 Triggered", score_threshold2, False),
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("hd_score_g2", "G2 Triggered", score_threshold2, False),
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]
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hd_score2 = data["hd_score_iso_m2"]
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winning_score = None
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winning_reason = "Pass"
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winning_threshold = None
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if hd_score1 > score_threshold:
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hd_score = hd_score1
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elif hd_score2 >= score_threshold2:
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hd_score = hd_score2
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else:
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hd_score = max(hd_score1, hd_score2)
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for key, reason, threshold, use_gt in reason_hierarchy:
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score = data.get(key)
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if score is None:
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continue
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passes = (score > threshold) if use_gt else (score >= threshold)
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if passes:
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winning_score = score
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winning_reason = reason
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winning_threshold = threshold
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break
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# logging.info(f"Computed hd_score1={hd_score1}, hd_score2={hd_score2}, final hd_score={hd_score}")
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if winning_score is None:
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winning_score = max([
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data.get("hd_score_s1", 0),
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data.get("hd_score_s2", 0),
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data.get("hd_score_g1", 0),
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data.get("hd_score_s3", 0),
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data.get("hd_score_m1", 0),
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data.get("hd_score_iso_m2", 0),
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data.get("hd_score_g2", 0),
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])
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winning_reason = "Pass"
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hd_score = winning_score
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except Exception as e:
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logging.error(f"Error calculating hd_score values: {e}")
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@ -39,7 +59,7 @@ def processing(data: dict) -> dict:
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# ---- recommended_action ----
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try:
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if hd_score1 > score_threshold or hd_score2 >= score_threshold2:
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if winning_reason != "Pass":
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recommended_action = "Decline Application"
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else:
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recommended_action = "Pass Application"
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@ -52,14 +72,10 @@ def processing(data: dict) -> dict:
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# ---- description ----
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try:
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if hd_score1 > score_threshold:
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if winning_reason != "Pass":
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threshold_used = winning_threshold if winning_threshold is not None else score_threshold
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description = (
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f"HD Fraud Score is above the risk threshold {score_threshold}, "
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f"Recommended action: Decline Application"
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)
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elif hd_score2 >= score_threshold2:
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description = (
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f"HD Fraud Score is above the risk threshold {score_threshold2}, "
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f"HD Fraud Score is above the risk threshold {threshold_used}, "
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f"Recommended action: Decline Application"
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)
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else:
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@ -74,35 +90,8 @@ def processing(data: dict) -> dict:
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return {}
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# ---- hd_action_reasoncode ----
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try:
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reason_hierarchy = [
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("hd_score_s1", "S1 Triggered"),
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("hd_score_s2", "S2 Triggered"),
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("hd_score_g1", "G1 Triggered"),
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("hd_score_s3", "S3 Triggered"),
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("hd_score_m1", "M1 Triggered"),
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("hd_score_iso_m2", "M2 Triggered"), # NEW
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]
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hd_action_reasoncode = "Pass"
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for key, reason in reason_hierarchy:
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score = data[key]
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if key == "hd_score_iso_m2":
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if score >= score_threshold2:
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hd_action_reasoncode = reason
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break
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else:
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if score > score_threshold:
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hd_action_reasoncode = reason
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break
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logging.info(f"hd_action_reasoncode: {hd_action_reasoncode}")
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except Exception as e:
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logging.error(f"Error determining action_reasoncode: {e}")
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return {}
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hd_action_reasoncode = winning_reason
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logging.info(f"hd_action_reasoncode: {hd_action_reasoncode}")
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# ---- Return only original 4 fields ----
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return {
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@ -111,5 +100,3 @@ def processing(data: dict) -> dict:
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"description": description,
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"hd_action_reasoncode": hd_action_reasoncode,
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}
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@ -1,7 +1,7 @@
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import unittest
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from block import __main__
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data = {'hd_score_m1': 1173.0, 'hd_score_g1': 1203.0, 'hd_score_s1': 1240.0, 'hd_score_s2': 0, 'hd_score_s3': 0, 'hd_score_iso_m2': 1001.0}
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data = {'hd_score_m1': 1173.0, 'hd_score_g1': 1203.0, 'hd_score_s1': 1240.0, 'hd_score_s2': 0, 'hd_score_s3': 0, 'hd_score_iso_m2': 1001.0, 'hd_score_g2': 0.0}
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class TestBlock(unittest.TestCase):
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def test_main_success(self):
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