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()