from spark_queries import utils

Q_NUM = 7


def q():
    query_str = f"""
    select
        supp_nation,
        cust_nation,
        l_year,
        sum(volume) as revenue
    from
        (
            select
                n1.n_name as supp_nation,
                n2.n_name as cust_nation,
                year(l_shipdate) as l_year,
                l_extendedprice * (1 - l_discount) as volume
            from
                supplier,
                lineitem,
                orders,
                customer,
                nation n1,
                nation n2
            where
                s_suppkey = l_suppkey
                and o_orderkey = l_orderkey
                and c_custkey = o_custkey
                and s_nationkey = n1.n_nationkey
                and c_nationkey = n2.n_nationkey
                and (
                    (n1.n_name = 'FRANCE' and n2.n_name = 'GERMANY')
                    or (n1.n_name = 'GERMANY' and n2.n_name = 'FRANCE')
                )
                and date(l_shipdate) between date '1995-01-01' and date '1996-12-31'
        ) as shipping
    group by
        supp_nation,
        cust_nation,
        l_year
    order by
        supp_nation,
        cust_nation,
        l_year
    """

    utils.get_customer_ds()
    utils.get_orders_ds()
    utils.get_line_item_ds()
    utils.get_supplier_ds()
    utils.get_nation_ds()

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

    utils.run_query(Q_NUM, q_final)


if __name__ == "__main__":
    q()