import pickle

from matplotlib import pyplot as plt

with open("replay_xyz.pkl", "rb") as f:
    points3DList = pickle.load(f)

skeleton = [
    [0, 1], [0, 2],       # nose -> eyes
    [1, 3], [2, 4],       # eyes -> ears
    # [0, 5], [0, 6],       # nose -> shoulders
    [5, 7], [7, 9],       # left arm
    [6, 8], [8, 10],      # right arm
    [5, 6],                # shoulders
    [5, 11], [6, 12],      # shoulders -> hips
    [11, 12],              # hips
    [11, 13], [13, 15],    # left leg
    [12, 14], [14, 16]     # right leg
]

plt.ion()  # włączenie trybu interaktywnego
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# Tworzymy początkowy wykres punktów
points_plot = ax.scatter([], [], [], c='r', marker='o', s=50)
lines_plot = [ax.plot([0,0],[0,0],[0,0], c='b')[0] for _ in skeleton]

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
ax.set_xlim(-0.6, 0.4)
ax.set_ylim(1.2, 2.2)
ax.set_zlim(-0.5, 1.1)
ax.view_init(elev=20, azim=-60)

i = 0

for points3Dkey in points3DList:
    points3D = points3DList[points3Dkey]
    print("3D points:\n", points3D)

    # --- Wizualizacja 3D ---d
    X = points3D[:,0] - 0.25
    Z = -points3D[:,1] + 0.5
    Y = points3D[:,2]

    points_plot._offsets3d = (X, Y, Z)

    # Aktualizacja linii (szkielet)
    for idx, (i, j) in enumerate(skeleton):
        lines_plot[idx].set_data([X[i], X[j]], [Y[i], Y[j]])
        lines_plot[idx].set_3d_properties([Z[i], Z[j]])

    fig.canvas.draw()
    fig.canvas.flush_events()
    plt.pause(0.01)