实现监管报送数据包生成（JSON格式）

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, json
    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(____)
    total = conn.execute(____).fetchone()
    individual = conn.execute(____).fetchone()[____]
    entity = conn.execute(____).fetchone()[____]
    large = conn.execute(____).fetchone()[____]
    top_acc = conn.execute(____).fetchone()[____]
    data = {'____': '____', '____': total[____], '____': total[____],
            '____': individual, '____': entity, '____': large, '____': top_acc}
    print(json.dumps(____))
    conn.close()