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计算商品平均评分和评论数

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_A02/users.csv").read()
    categories_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A02/categories.csv").read()
    products_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A02/products.csv").read()
    orders_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A02/orders.csv").read()
    order_items_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A02/order_items.csv").read()
    reviews_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A02/reviews.csv").read()
    coupons_csv = open_url("https://data.zuihe.com/dbd/ecommerce/state_A02/coupons.csv").read()
    import sqlite3
    import pandas as pd
    from io import StringIO

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

    result = pd.read_sql_query("""
        SELECT p.name, ROUND(AVG(r.rating), 1) AS avg_rating, COUNT(r.id) AS review_count
        FROM reviews r
        JOIN products p ON r.product_id = p.id
        GROUP BY p.id, p.name
        ORDER BY avg_rating DESC
    """, conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
name  avg_rating  review_count
  华为Mate60 Pro 黑色512G         5.0             1
 vivo X100 Pro 蓝色512G         5.0             2
       苹果AirPods Pro2         5.0             2
            小米平板6 Pro         4.0             1
      华为FreeBuds Pro3         4.0             4
苹果iPhone15 Pro 黑色256G         3.7             3
  OPPO Find X7 黑色256G         3.0             1
  小米14 骁龙8Gen3 黑色256G         1.0             1
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