parse_result.py

import json, sys, statistics

d = json.load(sys.stdin)
s = d['summary']
rings = d['fraud_rings']
accts = d['suspicious_accounts']

print('=== SAMPLE CSV ===')
print(f'Accounts analyzed : {s["total_accounts_analyzed"]}')
print(f'Suspicious flagged: {s["suspicious_accounts_flagged"]}')
print(f'Fraud rings       : {s["fraud_rings_detected"]}')
print()
print('--- Rings ---')
for r in rings:
    print(f'  {r["ring_id"]} | {r["pattern_type"]:30s} | score={r["risk_score"]:5.1f} | members={r["member_accounts"]}')
print()

if accts:
    scores = [a["suspicion_score"] for a in accts]
    print('--- Score distribution ---')
    print(f'  count={len(scores)}, min={min(scores):.1f}, max={max(scores):.1f}, mean={statistics.mean(scores):.1f}, median={statistics.median(scores):.1f}')
    print()
    print('--- Top 15 accounts ---')
    for a in accts[:15]:
        print(f'  {a["account_id"]:15s}  score={a["suspicion_score"]:5.1f}  {a["detected_patterns"]}')