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统计各机构借贷清算金额

未完成
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_07/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_07/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_07/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_07/gl_accounts.csv").read()
    journal_entries_csv = open_url("https://data.zuihe.com/dbd/core/state_07/journal_entries.csv").read()
    clearing_records_csv = open_url("https://data.zuihe.com/dbd/core/state_07/clearing_records.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(offices_csv)).to_sql('offices', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(clearing_records_csv)).to_sql('clearing_records', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("""
        SELECT o.name AS office_name, SUM(cr.debit_amount) AS total_debit, SUM(cr.credit_amount) AS total_credit
        FROM clearing_records cr JOIN offices o ON cr.from_office_id=o.id
        GROUP BY o.id, o.name ORDER BY total_debit DESC
    """, conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
office_name  total_debit  total_credit
   阳光银行上海分行    1200000.0     1050000.0
   阳光银行北京分行     850000.0      920000.0
     上海浦东支行     650000.0      720000.0
   阳光银行广州分行     430000.0      580000.0
     北京朝阳支行     320000.0      410000.0
     广州天河支行     280000.0      310000.0
     北京海淀支行     180000.0      220000.0
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