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计算每个商品的销售总量和总额

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
    users_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A01/users.csv").read()
    categories_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A01/categories.csv").read()
    products_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A01/products.csv").read()
    orders_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A01/orders.csv").read()
    order_items_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A01/order_items.csv").read()
    import sqlite3
    import pandas as pd
    from io import StringIO

    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(products_csv)).to_sql('products', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(order_items_csv)).to_sql('order_items', conn, index=False, if_exists='replace')

    result = pd.read_sql_query("""
        SELECT p.name, SUM(oi.qty) AS total_qty, SUM(oi.qty * oi.price) AS total_sales
        FROM order_items oi
        JOIN products p ON oi.product_id = p.id
        GROUP BY p.id, p.name
        ORDER BY total_sales DESC
    """, conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
name  total_qty  total_sales
苹果iPhone15 Pro 黑色256G          2      17998.0
  华为Mate60 Pro 黑色512G          1       6999.0
 vivo X100 Pro 蓝色512G          1       5499.0
         索尼WH-1000XM5          2       4998.0
  OPPO Find X7 黑色256G          1       4499.0
    华为MatePad Pro 11寸          1       4299.0
  小米14 骁龙8Gen3 黑色256G          1       3999.0
      华为FreeBuds Pro3          2       2198.0
       苹果AirPods Pro2          1       1899.0
              小米电饭煲3L          1        299.0
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