生成年度核销与回收统计报告

def solve():
    from pyodide.http import open_url
    clients_csv = open_url(____).read()
    loans_csv = open_url(____).read()
    loan_classifications_csv = open_url(____).read()
    write_offs_csv = open_url(____).read()
    recovery_records_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(____)
    wo_cnt = int(pd.read_sql_query(____).iloc[____]['____'])
    wo_amt = float(pd.read_sql_query(____).iloc[____]['____'] or ____)
    rc_cnt = int(pd.read_sql_query(____).iloc[____]['____'])
    rc_amt = float(pd.read_sql_query(____).iloc[____]['____'] or ____)
    rate = round(____) if wo_amt > ____ else ____
    off_bal = wo_amt - rc_amt
    report = {"____": wo_cnt, "____": wo_amt, "____": rc_cnt, "____": rc_amt, "____": rate, "____": off_bal}
    print(json.dumps(____))
    conn.close()