from spark_queries import utils

Q_NUM = 17


def q():
    query_str = f"""
    select
        round(sum(l_extendedprice) / 7.0, 2) as avg_yearly
    from
        lineitem,
        part
    where
        p_partkey = l_partkey
        and p_brand = 'Brand#23'
        and p_container = 'MED BOX'
        and l_quantity < (
            select
                0.2 * avg(l_quantity)
            from
                lineitem
            where
                l_partkey = p_partkey
        )
	"""

    utils.get_line_item_ds()
    utils.get_part_ds()

    q_final = utils.get_or_create_spark().sql(query_str)

    utils.run_query(Q_NUM, q_final)


if __name__ == "__main__":
    q()