实现五级分类自动降级批处理

def solve():
    from pyodide.http import open_url
    clients_csv = open_url(____).read()
    loans_csv = open_url(____).read()
    loan_repayment_schedule_csv = open_url(____).read()
    loan_charges_csv = open_url(____).read()
    accrual_records_csv = open_url(____).read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(____)
    pd.read_csv(StringIO(____)).to_sql(____)
    def auto_class(____):
        if d == ____: return '____'
        elif d <= ____: return '____'
        elif d <= ____: return '____'
        elif d <= ____: return '____'
        else: return '____'
    order = {'____':____,'____':____,'____':____,'____':____,'____':____}
    loans = pd.read_sql_query(____)
    loans['____'] = loans['____'].apply(____)
    loans['____'] = loans['____'].map(____)
    loans['____'] = loans['____'].map(____)
    downgrade = loans[loans['____'] > loans['____']]
    if downgrade.empty:
        print(____)
    else:
        print(____)
        for _, r in downgrade.iterrows():
            print(____)
    conn.close()