import os
from options.test_options import TestOptions
from data import CreateRecursiveDataLoader
from models import create_model
from util.visualizer import Visualizer
from util import html


import subprocess

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

    data_loader = CreateRecursiveDataLoader(opt)
    dataset = data_loader.load_data()
    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)
        print(dataset.name())
        if dataset.name() == 'RecursiveDatasetDataLoader':
            last_image = "results/woodscaled_4_pix2pix/test_latest/images/" + ims[1]
            next_image = "recursive/frame{:04d}".format(i+1)
            cmd = ("/bin/cp", last_image, next_image)
            process = subprocess.Popen(cmd, stdout=subprocess.PIPE)
            output, error = process.communicate()
            dataset.append(next_image)

    webpage.save()