Find products with three consecutive digits

# Table: Products
# 
# +-------------+---------+
# | Column Name | Type    |
# +-------------+---------+
# | product_id  | int     |
# | name        | varchar |
# +-------------+---------+
# product_id is the unique key for this table.
# Each row of this table contains the ID and name of a product.
# 
# Write a solution to find all products whose names contain a sequence of exactly three consecutive digits in a row. 
# 
# Return the result table ordered by product_id in ascending order.
# 
# The result format is in the following example.
# 
# Note that the name may contain multiple such sequences, but each should have length three.
#
# Example 1:
# Input:
# products table:
# +-------------+--------------------+
# | product_id  | name               |
# +-------------+--------------------+
# | 1           | ABC123XYZ          |
# | 2           | A12B34C            |
# | 3           | Product56789       |
# | 4           | NoDigitsHere       |
# | 5           | 789Product         |
# | 6           | Item003Description |
# | 7           | Product12X34       |
# +-------------+--------------------+
# Output:
# +-------------+--------------------+
# | product_id  | name               |
# +-------------+--------------------+
# | 1           | ABC123XYZ          |
# | 5           | 789Product         |
# | 6           | Item003Description |
# +-------------+--------------------+
# Explanation:
# Product 1: ABC123XYZ contains the digits 123.
# Product 5: 789Product contains the digits 789.
# Product 6: Item003Description contains 003, which is exactly three digits.
# Note:
# Results are ordered by product_id in ascending order.
# Only products with exactly three consecutive digits in their names are included in the result.

import pandas as pd

def find_products(products: pd.DataFrame) -> pd.DataFrame:
  mask = products['name'].str.contains(r'(?<!\d)\d{3}(?!\d)', regex=True)
  return products[mask].sort_values('product_id')[['product_id', 'name']]