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初级

查询收入类会计科目的分录合计

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_03/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_03/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_03/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_03/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_03/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_03/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_03/gl_accounts.csv").read()
    journal_entries_csv = open_url("https://data.zuihe.com/dbd/core/state_03/journal_entries.csv").read()
    import sqlite3
    import pandas as pd
    from io import StringIO

    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(gl_accounts_csv)).to_sql('gl_accounts', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(journal_entries_csv)).to_sql('journal_entries', conn, index=False, if_exists='replace')

    result = pd.read_sql_query("""
        SELECT ga.name AS account_name, SUM(je.amount) AS income_total
        FROM journal_entries je
        JOIN gl_accounts ga ON je.gl_account_id = ga.id
        WHERE ga.type = 'INCOME' AND je.entry_type = 'CREDIT'
        GROUP BY ga.id, ga.name
        ORDER BY income_total DESC
    """, conn)
    if result.empty:
        print('暂无收入分录')
    else:
        print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
暂无收入分录
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