import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1"

import tqdm
import numpy as np
import tensorflow as tf
import plotly.graph_objects as go

from custom_utils.custom_utils import UV2Mesh, _maskFaces
from custom_utils.unpose import unpose
from custom_utils.fill_uv import fill
from custom_utils.smpl_2 import SMPL as SMPL_2


if __name__ == '__main__':
    folder = '/home/workspace/local-data/train_100/'
    mask = np.load('custom_utils/mask_256x512.npy')
    F = np.load("custom_utils/smpl_faces.npy")
    uv2mesh = UV2Mesh(res=256)
    smpl_2 = SMPL_2('custom_utils')

    frames = os.listdir(folder + '/pose_shape')
    visited = set()
    meshes = []
    count = 0

    for frame in tqdm.tqdm(frames):
        id, frame_nr = frame.split('_')
        frame_nr = frame_nr.split('.')[0]
        if id in visited:
            continue
        if id == '06798':
            continue

        visited.add(id)
        print(id)


        uv_static = np.load(os.path.join(folder, 'uv_static_filled_32', id + '.npz')); uv_static = uv_static['uv_static_filled']
        uv_posed = np.load(os.path.join(folder, 'uv_posed', id + '_' + frame_nr + '.npz')); uv_posed = uv_posed['uv_gt']
        uv_mask = np.load(os.path.join(folder, 'uv_mask', id + '.npz')); uv_mask=uv_mask['uv_mask']
        mesh_mask = np.load(os.path.join('/home/workspace/local-data/train_100/mesh_mask', id + '.npy'))
        mesh_posed = np.load(os.path.join(folder, 'mesh_posed', id + '_' + frame_nr + '.npz')); mesh_posed = mesh_posed['mesh_posed']
        mesh_unposed = np.load(os.path.join(folder, 'mesh_unposed', id + '_' + frame_nr + '.npz')); mesh_unposed = mesh_unposed['mesh_unposed']
        pose_shape = np.load(os.path.join(folder, 'pose_shape',  id + '_' + frame_nr + '.npy')).astype(np.float32)
        pose, shape = pose_shape[:72], pose_shape[72:]
        gender = int(shape[-1] > 0)
        mesh_static = uv2mesh(uv_static[np.newaxis,:,:,:])[0].numpy()
        mask_idx = np.array(range(14475))[mesh_mask]
        
        uv_posed_filled = fill(uv_posed, uv_mask)
        down = tf.image.resize(uv_posed_filled, size=(32, 16), method=tf.image.ResizeMethod.LANCZOS5)
        mesh_posed_low = uv2mesh(down[tf.newaxis,:,:,:])

        unposed = unpose(mesh_static[mesh_mask,:], mesh_posed[np.newaxis,mesh_mask,:], pose[:,np.newaxis], shape, gender, mesh_mask, mask_idx, smpl_2, id)
        unposed_low = unpose(mesh_static[mesh_mask,:], mesh_posed_low.numpy()[:,mesh_mask,:], pose[:,np.newaxis], shape, gender, mesh_mask, mask_idx, smpl_2, id)
        
        
        unposed_mesh, faces = _maskFaces(unposed[0], F, mesh_mask)
        x = unposed_mesh
        x[:, 2] += 0.5 * count
        meshes.append(go.Mesh3d(
                    # 8 vertices of a cube
                    x=x[:,0],
                    y=x[:,2],
                    z=x[:,1],
                    # i, j and k give the vertices of triangles
                    i = faces[:,0],
                    j = faces[:,1],
                    k = faces[:,2]
                    ))


        x = mesh_unposed[mesh_mask, :]
        x[:, 2] += 0.5 * (count + 1)
        meshes.append(go.Mesh3d(
                    # 8 vertices of a cube
                    x=x[:,0],
                    y=x[:,2],
                    z=x[:,1],
                    # i, j and k give the vertices of triangles
                    i = faces[:,0],
                    j = faces[:,1],
                    k = faces[:,2]
                    ))

        x = unposed_low[0,mesh_mask, :]
        x[:, 2] += 0.5 * (count + 2)
        meshes.append(go.Mesh3d(
                    # 8 vertices of a cube
                    x=x[:,0],
                    y=x[:,2],
                    z=x[:,1],
                    # i, j and k give the vertices of triangles
                    i = faces[:,0],
                    j = faces[:,1],
                    k = faces[:,2]
                    ))

        x = mesh_posed_low.numpy()[0,mesh_mask, :]
        x[:, 1] += 0.5 * (count + 3)
        meshes.append(go.Mesh3d(
                    # 8 vertices of a cube
                    x=x[:,0],
                    y=x[:,1],
                    z=x[:,2],
                    # i, j and k give the vertices of triangles
                    i = faces[:,0],
                    j = faces[:,1],
                    k = faces[:,2]
                    ))

        x = mesh_posed[mesh_mask, :]
        x[:, 1] += 0.5 * (count + 4)
        meshes.append(go.Mesh3d(
                    # 8 vertices of a cube
                    x=x[:,0],
                    y=x[:,1],
                    z=x[:,2],
                    # i, j and k give the vertices of triangles
                    i = faces[:,0],
                    j = faces[:,1],
                    k = faces[:,2]
                    ))

        count += 1

        if count > 1:
            break



    fig = go.Figure(data=meshes)
    fig.update_layout(scene_aspectmode='manual', scene_aspectratio=dict(x=1, y=count/2-1, z=1))
    fig.update_layout(
        scene = dict(
            xaxis = dict(nticks=4, range=[-1,1],),
                        yaxis = dict(nticks=4, range=[-1,count/2+1],),
                        zaxis = dict(nticks=4, range=[-1,1],),)
                        )

    fig.show()

    print()