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from datetime import datetime
import polars as pl
from polars_queries import utils
Q_NUM = 5
def q():
var_1 = "ASIA"
var_2 = datetime(1994, 1, 1)
var_3 = datetime(1995, 1, 1)
region_ds = utils.get_region_ds()
nation_ds = utils.get_nation_ds()
customer_ds = utils.get_customer_ds()
line_item_ds = utils.get_line_item_ds()
orders_ds = utils.get_orders_ds()
supplier_ds = utils.get_supplier_ds()
q_final = (
region_ds.join(nation_ds, left_on="r_regionkey", right_on="n_regionkey")
.join(customer_ds, left_on="n_nationkey", right_on="c_nationkey")
.join(orders_ds, left_on="c_custkey", right_on="o_custkey")
.join(line_item_ds, left_on="o_orderkey", right_on="l_orderkey")
.join(
supplier_ds,
left_on=["l_suppkey", "n_nationkey"],
right_on=["s_suppkey", "s_nationkey"],
)
.filter(pl.col("r_name") == var_1)
.filter(pl.col("o_orderdate").is_between(var_2, var_3, closed="left"))
.with_columns(
(pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).alias("revenue")
)
.group_by("n_name")
.agg([pl.sum("revenue")])
.sort(by="revenue", descending=True)
)
utils.run_query(Q_NUM, q_final)
if __name__ == "__main__":
q()
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