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初级

生成机构间往来账对账单

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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_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 f.name AS from_office, t.name AS to_office,
               cr.debit_amount, cr.credit_amount, cr.net_amount, cr.clearing_date
        FROM clearing_records cr JOIN offices f ON cr.from_office_id=f.id JOIN offices t ON cr.to_office_id=t.id
        ORDER BY cr.clearing_date, cr.from_office_id
    """, conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
from_office to_office  debit_amount  credit_amount  net_amount clearing_date
   阳光银行北京分行  阳光商业银行总行      850000.0       920000.0     70000.0    2026-09-30
   阳光银行上海分行  阳光商业银行总行     1200000.0      1050000.0   -150000.0    2026-09-30
   阳光银行广州分行  阳光商业银行总行      430000.0       580000.0    150000.0    2026-09-30
     北京朝阳支行  阳光银行北京分行      320000.0       410000.0     90000.0    2026-09-30
     北京海淀支行  阳光银行北京分行      180000.0       220000.0     40000.0    2026-09-30
     上海浦东支行  阳光银行上海分行      650000.0       720000.0     70000.0    2026-09-30
     广州天河支行  阳光银行广州分行      280000.0       310000.0     30000.0    2026-09-30
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