import os
import os.path
from data.base_dataset import BaseDataset, get_transform
from data.image_folder import make_dataset
from PIL import Image
import random
import gevent
import time

class RecursiveDataset(BaseDataset):
    def initialize(self, opt):
        print('initialize')
        self.opt = opt
        self.root = opt.dataroot
        self.dir_A = os.path.join(opt.dataroot)
        self.A_paths = make_dataset(self.dir_A)
        self.A_paths = sorted(self.A_paths)
        self.transform = get_transform(opt)

    def __getitem__(self, index):
        A_path = os.path.join(self.opt.render_dir, "frame_{:05d}.png".format(index))
        if not os.path.exists(A_path):
            # print()
            while not os.path.exists(A_path):
                # print('sleeping for {}'.format(self.opt.poll_delay))
                time.sleep(self.opt.poll_delay)
        # print("got {}".format(A_path))
        A_img = Image.open(A_path).convert('RGB')
        A = self.transform(A_img)
        if self.opt.which_direction == 'BtoA':
            input_nc = self.opt.output_nc
        else:
            input_nc = self.opt.input_nc

        if input_nc == 1:  # RGB to gray
            tmp = A[0, ...] * 0.299 + A[1, ...] * 0.587 + A[2, ...] * 0.114
            A = tmp.unsqueeze(0)

        return {'A': A, 'A_paths': A_path}

    def __len__(self):
        return 10000000

    def name(self):
        return 'RecursiveImageDataset'