116 lines
3.4 KiB
Python
116 lines
3.4 KiB
Python
import logging
|
|
|
|
# Configure logging
|
|
logging.basicConfig(
|
|
level=logging.INFO,
|
|
format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
|
|
)
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
def processing(data: dict) -> dict:
|
|
score_threshold = 1200
|
|
score_threshold2 = 1225
|
|
|
|
# ---- Compute hd_score1, hd_score2, final hd_score ----
|
|
try:
|
|
hd_score1 = max([
|
|
data["hd_score_s1"],
|
|
data["hd_score_s2"],
|
|
data["hd_score_g1"],
|
|
data["hd_score_s3"],
|
|
data["hd_score_m1"],
|
|
])
|
|
|
|
hd_score2 = data["hd_score_iso_m2"]
|
|
|
|
if hd_score1 > score_threshold:
|
|
hd_score = hd_score1
|
|
elif hd_score2 >= score_threshold2:
|
|
hd_score = hd_score2
|
|
else:
|
|
hd_score = max(hd_score1, hd_score2)
|
|
|
|
# logging.info(f"Computed hd_score1={hd_score1}, hd_score2={hd_score2}, final hd_score={hd_score}")
|
|
|
|
except Exception as e:
|
|
logging.error(f"Error calculating hd_score values: {e}")
|
|
return {}
|
|
|
|
# ---- recommended_action ----
|
|
try:
|
|
if hd_score1 > score_threshold or hd_score2 >= score_threshold2:
|
|
recommended_action = "Decline Application"
|
|
else:
|
|
recommended_action = "Pass Application"
|
|
|
|
logging.info(f"recommended_action: {recommended_action}")
|
|
|
|
except Exception as e:
|
|
logging.error(f"Error assigning recommended_action: {e}")
|
|
return {}
|
|
|
|
# ---- description ----
|
|
try:
|
|
if hd_score1 > score_threshold:
|
|
description = (
|
|
f"HD Fraud Score is above the risk threshold {score_threshold}, "
|
|
f"Recommended action: Decline Application"
|
|
)
|
|
elif hd_score2 >= score_threshold2:
|
|
description = (
|
|
f"HD Fraud Score is above the risk threshold {score_threshold2}, "
|
|
f"Recommended action: Decline Application"
|
|
)
|
|
else:
|
|
description = (
|
|
"HD Fraud Score is below the risk threshold, Recommended action: Pass Application"
|
|
)
|
|
|
|
logging.info(f"description: {description}")
|
|
|
|
except Exception as e:
|
|
logging.error(f"Error creating description: {e}")
|
|
return {}
|
|
|
|
# ---- hd_action_reasoncode ----
|
|
try:
|
|
reason_hierarchy = [
|
|
("hd_score_s1", "S1 Triggered"),
|
|
("hd_score_s2", "S2 Triggered"),
|
|
("hd_score_g1", "G1 Triggered"),
|
|
("hd_score_s3", "S3 Triggered"),
|
|
("hd_score_m1", "M1 Triggered"),
|
|
("hd_score_iso_m2", "M2 Triggered"), # NEW
|
|
]
|
|
|
|
hd_action_reasoncode = "Pass"
|
|
|
|
for key, reason in reason_hierarchy:
|
|
score = data[key]
|
|
|
|
if key == "hd_score_iso_m2":
|
|
if score >= score_threshold2:
|
|
hd_action_reasoncode = reason
|
|
break
|
|
else:
|
|
if score > score_threshold:
|
|
hd_action_reasoncode = reason
|
|
break
|
|
|
|
logging.info(f"hd_action_reasoncode: {hd_action_reasoncode}")
|
|
|
|
except Exception as e:
|
|
logging.error(f"Error determining action_reasoncode: {e}")
|
|
return {}
|
|
|
|
# ---- Return only original 4 fields ----
|
|
return {
|
|
"hd_score": hd_score,
|
|
"recommended_action": recommended_action,
|
|
"description": description,
|
|
"hd_action_reasoncode": hd_action_reasoncode,
|
|
}
|
|
|
|
|