生成反洗钱可疑交易报告

def solve():
    from pyodide.http import open_url
    offices_csv = open_url(____).read()
    staff_csv = open_url(____).read()
    savings_products_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()
    clearing_records_csv = open_url(____).read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(____)
    pd.read_csv(StringIO(____)).to_sql(____)
    large = conn.execute(____).fetchone()[____]
    freq = conn.execute(____).fetchone()[____]
    print(____)
    print(____)
    print(____)
    conn.close()