import os
from options.test_options import TestOptions
from data import CreateRecursiveDataLoader
from models import create_model
from util.visualizer import Visualizer
from util.util import mkdirs
from util import html
from shutil import move, copyfile

import subprocess
from time import sleep


if __name__ == '__main__':
    opt = TestOptions().parse()
    opt.nThreads = 1   # test code only supports nThreads = 1
    opt.batchSize = 1  # test code only supports batchSize = 1
    opt.serial_batches = True  # no shuffle
    opt.no_flip = True  # no flip
    opt.experiment = opt.start_img.split(".")[0]

    render_dir = opt.results_dir + "/" + opt.name + "/exp:" + opt.experiment

    mkdirs(render_dir)
    copyfile(opt.start_img, render_dir + "/frame_00000.png")

    data_loader = CreateRecursiveDataLoader(opt)
    dataset = data_loader.load_data()
    ds = dataset.dataset
    model = create_model(opt)
    visualizer = Visualizer(opt)
    # create website
    web_dir = os.path.join(opt.results_dir, opt.name, '%s_%s' % (opt.phase, opt.which_epoch))
    webpage = html.HTML(web_dir, 'Experiment = %s, Phase = %s, Epoch = %s' % (opt.name, opt.phase, opt.which_epoch))
    # test
    print(dataset.name())
    for i, data in enumerate(data_loader):
        if i >= opt.how_many:
            break
        model.set_input(data)
        model.test()
        visuals = model.get_current_visuals()
        img_path = model.get_image_paths()
        print('%04d: process image... %s' % (i, img_path))
        ims = visualizer.save_images(webpage, visuals, img_path, aspect_ratio=opt.aspect_ratio)
        if dataset.name() == 'RecursiveDatasetDataLoader':
            last_image = opt.results_dir + opt.name + "/test_latest/images/" + ims[1]
            next_image = opt.results_dir + opt.name + "/exp:" + opt.experiment + "/frame_{:05d}.png".format(i+1)
            move(last_image, next_image)

    webpage.save()

    cmd = ("/usr/bin/ffmpeg", "-i", "frame_%04d.png", "-c:v", "libx264", "-vf", "fps=30", "-pix_fmt", "yuv420p", opt.name + "_" + opt.experiment + ".mp4")
    process = subprocess.Popen(cmd, stdout=subprocess.PIPE)
    output, error = process.communicate()