统计各费用类型的月度收入

def solve():
    from pyodide.http import open_url
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_05/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_05/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_05/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_05/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_05/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_05/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_05/gl_accounts.csv").read()
    charges_csv = open_url("https://data.zuihe.com/dbd/core/state_05/charges.csv").read()
    savings_account_charges_csv = open_url("https://data.zuihe.com/dbd/core/state_05/savings_account_charges.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(charges_csv)).to_sql('charges', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(savings_account_charges_csv)).to_sql('savings_account_charges', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("""
        SELECT ch.name AS charge_name, ch.charge_type, SUM(sac.paid_amount) AS monthly_income
        FROM savings_account_charges sac JOIN charges ch ON sac.charge_id=ch.id
        WHERE sac.status='PAID' GROUP BY ch.id, ch.name, ch.charge_type ORDER BY monthly_income DESC
    """, conn)
    print(result.to_string(index=False))
    conn.close()