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from datetime import datetime
import polars as pl
from polars_queries import utils
Q_NUM = 20
def q():
line_item_ds = utils.get_line_item_ds()
nation_ds = utils.get_nation_ds()
supplier_ds = utils.get_supplier_ds()
part_ds = utils.get_part_ds()
part_supp_ds = utils.get_part_supp_ds()
var_1 = datetime(1994, 1, 1)
var_2 = datetime(1995, 1, 1)
var_3 = "CANADA"
var_4 = "forest"
res_1 = (
line_item_ds.filter(
pl.col("l_shipdate").is_between(var_1, var_2, closed="left")
)
.group_by("l_partkey", "l_suppkey")
.agg((pl.col("l_quantity").sum() * 0.5).alias("sum_quantity"))
)
res_2 = nation_ds.filter(pl.col("n_name") == var_3)
res_3 = supplier_ds.join(res_2, left_on="s_nationkey", right_on="n_nationkey")
q_final = (
part_ds.filter(pl.col("p_name").str.starts_with(var_4))
.select(pl.col("p_partkey").unique())
.join(part_supp_ds, left_on="p_partkey", right_on="ps_partkey")
.join(
res_1,
left_on=["ps_suppkey", "p_partkey"],
right_on=["l_suppkey", "l_partkey"],
)
.filter(pl.col("ps_availqty") > pl.col("sum_quantity"))
.select(pl.col("ps_suppkey").unique())
.join(res_3, left_on="ps_suppkey", right_on="s_suppkey")
.with_columns(pl.col("s_address").str.strip_chars())
.select(["s_name", "s_address"])
.sort("s_name")
)
utils.run_query(Q_NUM, q_final)
if __name__ == "__main__":
q()
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