import json

import matplotlib.pyplot as plt
import numpy as np


def plottable(log: list[tuple[float, int]]):
    if log:
        return np.array(log).transpose()
    else:
        return np.array([[], []])


def plot():
    plt.rcParams['figure.figsize'] = [16, 9]
    plt.style.use("dark_background")
    plt.subplots_adjust(left=0.03, right=0.99, top=0.99, bottom=0.05)

    with open('trace/latest.json') as file:
        jsonified = json.load(file)
    if (log := jsonified.get('DelayedResolver:sleep:concurrency')) is not None:
        plt.plot(*plottable(log))
    if (log := jsonified.get('ActiveBinaryTree:add:entry')) is not None:
        plt.scatter(*plottable(log), c='tomato', zorder=100, s=.5)
    if (log := jsonified.get('ActiveBinaryTree:add:exit')) is not None:
        plt.scatter(*plottable(log), c='gold', zorder=99, s=.5)
    plt.show()


if __name__ == '__main__':
    plot()