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from datetime import datetime
import polars as pl
from polars_queries import utils
Q_NUM = 3
def q():
var_1 = var_2 = datetime(1995, 3, 15)
var_3 = "BUILDING"
customer_ds = utils.get_customer_ds()
line_item_ds = utils.get_line_item_ds()
orders_ds = utils.get_orders_ds()
q_final = (
customer_ds.filter(pl.col("c_mktsegment") == var_3)
.join(orders_ds, left_on="c_custkey", right_on="o_custkey")
.join(line_item_ds, left_on="o_orderkey", right_on="l_orderkey")
.filter(pl.col("o_orderdate") < var_2)
.filter(pl.col("l_shipdate") > var_1)
.with_columns(
(pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).alias("revenue")
)
.group_by(["o_orderkey", "o_orderdate", "o_shippriority"])
.agg([pl.sum("revenue")])
.select(
[
pl.col("o_orderkey").alias("l_orderkey"),
"revenue",
"o_orderdate",
"o_shippriority",
]
)
.sort(by=["revenue", "o_orderdate"], descending=[True, False])
.limit(10)
)
utils.run_query(Q_NUM, q_final)
if __name__ == "__main__":
q()
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