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查询已到期未处理的定期账户

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初级参考 完整示例代码供参考,建议自己理解后重新输入
def solve():
    from pyodide.http import open_url
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_04/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_04/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_04/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_04/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_04/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_04/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_04/gl_accounts.csv").read()
    journal_entries_csv = open_url("https://data.zuihe.com/dbd/core/state_04/journal_entries.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(savings_products_csv)).to_sql('savings_products', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(savings_accounts_csv)).to_sql('savings_accounts', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("""
        SELECT a.account_no, a.balance, a.maturity_date
        FROM savings_accounts a JOIN savings_products sp ON a.product_id=sp.id
        WHERE sp.product_type='FIXED_TERM' AND a.maturity_date<='2026-09-30' AND a.status='ACTIVE'
        ORDER BY a.maturity_date
    """, conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
account_no  balance maturity_date
6213001000000026  20000.0    2026-09-30
6213001000000027  50000.0    2026-09-30
6213001000000033  15000.0    2026-09-30
6213001000000034  10000.0    2026-09-30
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