from pathlib import Path

import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import linregress


def plot_phase_transition(indir, outdir):
    files = [
        "no_burn_in.txt",
        "burn_in.txt",
    ]
    labels = [
        "Without burn-in time",
        "With burn-in time",
    ]

    figure1, ax1 = plt.subplots()
    figure2, ax2 = plt.subplots()
    figure3, ax3 = plt.subplots()
    figure4, ax4 = plt.subplots()


    for file, label in zip(files, labels):
        t = []
        e = []
        m = []
        CV = []
        X = []

        with open(Path(indir, file)) as f:
            lines = f.readlines()
            for line in lines:
                l = line.strip().split(",")
                t.append(float(l[0]))
                e.append(float(l[1]))
                m.append(float(l[2]))
                CV.append(float(l[3]))
                X.append(float(l[4]))


        ax1.plot(t, e, label=label)
        ax2.plot(t, m, label=label)
        ax3.plot(t, CV, label=label)
        ax4.plot(t, X, label=label)


    figure1.legend()
    figure2.legend()
    figure3.legend()
    figure4.legend()

    figure1.savefig(Path(outdir, "energy.pdf"))
    figure2.savefig(Path(outdir, "magnetization.pdf"))
    figure3.savefig(Path(outdir, "heat_capacity.pdf"))
    figure4.savefig(Path(outdir, "susceptibility.pdf"))

    plt.close(figure1)
    plt.close(figure2)
    plt.close(figure3)
    plt.close(figure4)


if __name__ == "__main__":
    plot_phase_transition(
        "output/test_burn_in_time/",
        "../latex/images/test_burn_in",
    )