查询已重组贷款的重组后表现是否再逾期

def solve():
    from pyodide.http import open_url
    clients_csv = open_url("https://data.zuihe.com/dbd/credit/state_06/clients.csv").read()
    loans_csv = open_url("https://data.zuihe.com/dbd/credit/state_06/loans.csv").read()
    loan_repayment_schedule_csv = open_url("https://data.zuihe.com/dbd/credit/state_06/loan_repayment_schedule.csv").read()
    reschedule_requests_csv = open_url("https://data.zuihe.com/dbd/credit/state_06/reschedule_requests.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(loans_csv)).to_sql('loans', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(reschedule_requests_csv)).to_sql('reschedule_requests', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("""SELECT r.loan_id, r.request_type, r.approved_at, l.days_in_arrears
    FROM reschedule_requests r JOIN loans l ON r.loan_id=l.id WHERE r.status='APPROVED'""", conn)
    for _, r in result.iterrows():
        status = 'NORMAL' if r['days_in_arrears'] == 0 else 'RE_DEFAULTED'
        print(f"loan_id={r['loan_id']}  type={r['request_type']}  approved={r['approved_at']}  after_status={status}")
    conn.close()