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import polars as pl
from polars_queries import utils
Q_NUM = 2
def q():
var_1 = 15
var_2 = "BRASS"
var_3 = "EUROPE"
region_ds = utils.get_region_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()
result_q1 = (
part_ds.join(part_supp_ds, left_on="p_partkey", right_on="ps_partkey")
.join(supplier_ds, left_on="ps_suppkey", right_on="s_suppkey")
.join(nation_ds, left_on="s_nationkey", right_on="n_nationkey")
.join(region_ds, left_on="n_regionkey", right_on="r_regionkey")
.filter(pl.col("p_size") == var_1)
.filter(pl.col("p_type").str.ends_with(var_2))
.filter(pl.col("r_name") == var_3)
).cache()
final_cols = [
"s_acctbal",
"s_name",
"n_name",
"p_partkey",
"p_mfgr",
"s_address",
"s_phone",
"s_comment",
]
q_final = (
result_q1.group_by("p_partkey")
.agg(pl.min("ps_supplycost").alias("ps_supplycost"))
.join(
result_q1,
left_on=["p_partkey", "ps_supplycost"],
right_on=["p_partkey", "ps_supplycost"],
)
.select(final_cols)
.sort(
by=["s_acctbal", "n_name", "s_name", "p_partkey"],
descending=[True, False, False, False],
)
.limit(100)
.with_columns(pl.col(pl.datatypes.Utf8).str.strip_chars().name.keep())
)
utils.run_query(Q_NUM, q_final)
if __name__ == "__main__":
q()
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