from ui.components.plot_figure import PlotFrame
from abc import ABC

from matplotlib.figure import Figure

from ui.plotters.plotter import Plotter

class PredictionsPlot(PlotFrame):
    def __init__(self, parent):
        super().__init__(parent, height=32)
        self.plotter = PredictionsPlotter(self.figure)

class PredictionsPlotter(Plotter, ABC):
    def __init__(self, figure: Figure):
        super().__init__(figure)
        self.axes = figure.add_subplot()
        self.clean_axes()

    def plot(self, data):
        self.axes.imshow(data, cmap='coolwarm', aspect='auto')
        for idx in range(10):
            self.axes.annotate(f"{idx}", xy=(idx - 0.2, 0.2))
        self.clean_axes()

    def clean_axes(self):
        # Remove axis ticks, labels, and spines
        self.axes.set_xticks([])  # Remove x-ticks
        self.axes.set_yticks([])  # Remove y-ticks
        self.axes.spines['top'].set_visible(False)
        self.axes.spines['bottom'].set_visible(False)
        self.axes.spines['left'].set_visible(False)
        self.axes.spines['right'].set_visible(False)
        self.axes.set_facecolor((0, 0, 0))

    def reset_plot(self):
        self.axes.clear()