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import polars as pl
from polars_queries import utils
Q_NUM = 22
def q():
orders_ds = utils.get_orders_ds()
customer_ds = utils.get_customer_ds()
res_1 = (
customer_ds.with_columns(pl.col("c_phone").str.slice(0, 2).alias("cntrycode"))
.filter(pl.col("cntrycode").str.contains("13|31|23|29|30|18|17"))
.select(["c_acctbal", "c_custkey", "cntrycode"])
)
res_2 = (
res_1.filter(pl.col("c_acctbal") > 0.0)
.select(pl.col("c_acctbal").mean().alias("avg_acctbal"))
.with_columns(pl.lit(1).alias("lit"))
)
res_3 = orders_ds.select(pl.col("o_custkey").unique()).with_columns(
pl.col("o_custkey").alias("c_custkey")
)
q_final = (
res_1.join(res_3, on="c_custkey", how="left")
.filter(pl.col("o_custkey").is_null())
.with_columns(pl.lit(1).alias("lit"))
.join(res_2, on="lit")
.filter(pl.col("c_acctbal") > pl.col("avg_acctbal"))
.group_by("cntrycode")
.agg(
[
pl.col("c_acctbal").count().alias("numcust"),
pl.col("c_acctbal").sum().round(2).alias("totacctbal"),
]
)
.sort("cntrycode")
)
utils.run_query(Q_NUM, q_final)
if __name__ == "__main__":
q()
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