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from datetime import datetime
import polars as pl
from polars_queries import utils
Q_NUM = 15
def q():
line_item_ds = utils.get_line_item_ds()
supplier_ds = utils.get_supplier_ds()
var_1 = datetime(1996, 1, 1)
var_2 = datetime(1996, 4, 1)
revenue_ds = (
line_item_ds.filter(
pl.col("l_shipdate").is_between(var_1, var_2, closed="left")
)
.group_by("l_suppkey")
.agg(
(pl.col("l_extendedprice") * (1 - pl.col("l_discount")))
.sum()
.alias("total_revenue")
)
.select([pl.col("l_suppkey").alias("supplier_no"), pl.col("total_revenue")])
)
q_final = (
supplier_ds.join(revenue_ds, left_on="s_suppkey", right_on="supplier_no")
.filter(pl.col("total_revenue") == pl.col("total_revenue").max())
.with_columns(pl.col("total_revenue").round(2))
.select(["s_suppkey", "s_name", "s_address", "s_phone", "total_revenue"])
.sort("s_suppkey")
)
utils.run_query(Q_NUM, q_final)
if __name__ == "__main__":
q()
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