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from datetime import datetime
import polars as pl
from polars_queries import utils
Q_NUM = 10
def q():
customer_ds = utils.get_customer_ds()
orders_ds = utils.get_orders_ds()
line_item_ds = utils.get_line_item_ds()
nation_ds = utils.get_nation_ds()
var_1 = datetime(1993, 10, 1)
var_2 = datetime(1994, 1, 1)
q_final = (
customer_ds.join(orders_ds, left_on="c_custkey", right_on="o_custkey")
.join(line_item_ds, left_on="o_orderkey", right_on="l_orderkey")
.join(nation_ds, left_on="c_nationkey", right_on="n_nationkey")
.filter(pl.col("o_orderdate").is_between(var_1, var_2, closed="left"))
.filter(pl.col("l_returnflag") == "R")
.group_by(
[
"c_custkey",
"c_name",
"c_acctbal",
"c_phone",
"n_name",
"c_address",
"c_comment",
]
)
.agg(
[
(pl.col("l_extendedprice") * (1 - pl.col("l_discount")))
.sum()
.round(2)
.alias("revenue")
]
)
.with_columns(
pl.col("c_address").str.strip_chars(), pl.col("c_comment").str.strip_chars()
)
.select(
[
"c_custkey",
"c_name",
"revenue",
"c_acctbal",
"n_name",
"c_address",
"c_phone",
"c_comment",
]
)
.sort(by="revenue", descending=True)
.limit(20)
)
utils.run_query(Q_NUM, q_final)
if __name__ == "__main__":
q()
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