"""Dumb indicator, for testing purposes."""
from calendar import c
from re import sub
import pandas as pd  # type: ignore

from ..interfaces import Indicator


class Slopy(Indicator):
    """Replay the value."""

    def __init__(self):
        """Save the value."""
        super().__init__()

    def __call__(self, data: pd.DataFrame) -> pd.Series:
        """Return a dataframe of valuation of each stock from the input data.

        Args:
            data (DataFrame): Time-Stock valuated candlestick data.
                For each time and each stock give (high, low, open, close).

        Returns:
            DataFrame: Stock valuated float.
                For each stock give -1 if realy bad and +1 if realy good.
        """

        # only use date as index => actions become columns
        data2 = data.unstack()

        # select high prices for each action
        highData = data2["close"]

        # select only last two days
        lastND = highData.last("2D")

        # lastND.rolling(window=2).mean()

        res = {}
        for column in lastND.columns:
            # pour chaque type d'action
            # print(column)
            if len(lastND.index) > 1:
                # print(last2D[column].get(last2D.index[-1]), last2D[column].get(last2D.index[-2]))

                ultieme = lastND[column].get(lastND.index[-1])
                penultieme = lastND[column].get(lastND.index[-2])

                if ultieme / penultieme > 1.05:
                    res[column] = 1
                elif ultieme / penultieme < 0.95:
                    res[column] = -1
                else:
                    res[column] = 0
            else:
                res[column] = 1

        return pd.Series(res)