统计年费总额（按状态分类）

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')
    row = conn.execute("""
        SELECT SUM(CASE WHEN sac.status='OUTSTANDING' THEN sac.amount ELSE 0 END),
               SUM(CASE WHEN sac.status='PAID' THEN sac.amount ELSE 0 END),
               SUM(sac.amount)
        FROM savings_account_charges sac JOIN charges ch ON sac.charge_id=ch.id
        WHERE ch.charge_type='ANNUAL_FEE'
    """).fetchone()
    print(f"outstanding_total: {row[0]}")
    print(f"paid_total: {row[1]}")
    print(f"grand_total: {row[2]}")
    conn.close()