from datetime import datetime

from modin_queries import utils

Q_NUM = 1


def q():
    VAR1 = datetime(1998, 9, 2)

    lineitem = utils.get_line_item_ds
    # first call one time to cache in case we don't include the IO times
    lineitem()

    def query():
        nonlocal lineitem
        lineitem = lineitem()

        lineitem_filtered = lineitem.loc[
            :,
            [
                "l_quantity",
                "l_extendedprice",
                "l_discount",
                "l_tax",
                "l_returnflag",
                "l_linestatus",
                "l_shipdate",
                "l_orderkey",
            ],
        ]
        sel = lineitem_filtered.l_shipdate <= VAR1
        lineitem_filtered = lineitem_filtered[sel]
        lineitem_filtered["sum_qty"] = lineitem_filtered.l_quantity
        lineitem_filtered["sum_base_price"] = lineitem_filtered.l_extendedprice
        lineitem_filtered["avg_qty"] = lineitem_filtered.l_quantity
        lineitem_filtered["avg_price"] = lineitem_filtered.l_extendedprice
        lineitem_filtered["sum_disc_price"] = lineitem_filtered.l_extendedprice * (
            1 - lineitem_filtered.l_discount
        )
        lineitem_filtered["sum_charge"] = (
            lineitem_filtered.l_extendedprice
            * (1 - lineitem_filtered.l_discount)
            * (1 + lineitem_filtered.l_tax)
        )
        lineitem_filtered["avg_disc"] = lineitem_filtered.l_discount
        lineitem_filtered["count_order"] = lineitem_filtered.l_orderkey
        gb = lineitem_filtered.groupby(["l_returnflag", "l_linestatus"])

        total = gb.agg(
            {
                "sum_qty": "sum",
                "sum_base_price": "sum",
                "sum_disc_price": "sum",
                "sum_charge": "sum",
                "avg_qty": "mean",
                "avg_price": "mean",
                "avg_disc": "mean",
                "count_order": "count",
            }
        )

        result_df = total.reset_index().sort_values(["l_returnflag", "l_linestatus"])

        return result_df

    utils.run_query(Q_NUM, query)


if __name__ == "__main__":
    q()