统计重组贷款金额占全部不良贷款比例

def solve():
    from pyodide.http import open_url
    clients_csv = open_url(____).read()
    loans_csv = open_url(____).read()
    loan_repayment_schedule_csv = open_url(____).read()
    reschedule_requests_csv = open_url(____).read()
    import sqlite3, pandas as pd, json
    from io import StringIO
    conn = sqlite3.connect(____)
    pd.read_csv(StringIO(____)).to_sql(____)
    pd.read_csv(StringIO(____)).to_sql(____)
    npl_bal = pd.read_sql_query(____).iloc[____]['____'] or ____
    rescheduled_ids = pd.read_sql_query(____)['____'].tolist()
    if rescheduled_ids:
        ids_str = '____'.join(map(____))
        resch_bal = pd.read_sql_query(____).iloc[____]['____'] or ____
    else:
        resch_bal = ____
    resch_rate = round(____) if npl_bal > ____ else ____
    report = {"____": float(____), "____": float(____), "____": resch_rate}
    print(json.dumps(____))
    conn.close()