全行存款业务综合仪表板（KPI汇总）

def solve():
    from pyodide.http import open_url
    offices_csv = open_url(____).read()
    staff_csv = open_url(____).read()
    currencies_csv = open_url(____).read()
    savings_products_csv = open_url(____).read()
    interest_rate_charts_csv = open_url(____).read()
    clients_csv = open_url(____).read()
    savings_accounts_csv = open_url(____).read()
    savings_account_transactions_csv = open_url(____).read()
    gl_accounts_csv = open_url(____).read()
    journal_entries_csv = open_url(____).read()
    charges_csv = open_url(____).read()
    savings_account_charges_csv = open_url(____).read()
    clearing_records_csv = open_url(____).read()
    cob_job_logs_csv = open_url(____).read()
    account_balance_snapshots_csv = open_url(____).read()
    exchange_rates_csv = open_url(____).read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(____)
    pd.read_csv(StringIO(____)).to_sql(____)
    pd.read_csv(StringIO(____)).to_sql(____)
    pd.read_csv(StringIO(____)).to_sql(____)
    pd.read_csv(StringIO(____)).to_sql(____)
    total_acc = conn.execute(____).fetchone()[____]
    total_bal = round(conn.execute(____).fetchone()[____], ____)
    deposits = conn.execute(____).fetchone()[____]
    withdrawals = conn.execute(____).fetchone()[____]
    active_clients = conn.execute(____).fetchone()[____]
    large = conn.execute(____).fetchone()[____]
    cob = conn.execute(____).fetchone()[____]
    kpi = {'____': total_acc, '____': total_bal, '____': deposits,
           '____': withdrawals, '____': active_clients, '____': large,
           '____': str(round(____))+'____'}
    print(____)
    conn.close()