#encoding = utf8
import copy
import time
from queue import Empty
from enum import Enum

import cv2
import numpy as np

from .base_render import BaseRender


def img_warp_back_inv_m(img, img_to, inv_m):
    h_up, w_up, c = img_to.shape

    mask = np.ones_like(img).astype(np.float32)
    inv_mask = cv2.warpAffine(mask, inv_m, (w_up, h_up))
    inv_img = cv2.warpAffine(img, inv_m, (w_up, h_up))

    img_to[inv_mask == 1] = inv_img[inv_mask == 1]
    return img_to


class VideoRender(BaseRender):
    def __init__(self, play_clock, context, human_render):
        super().__init__(play_clock, context, 'Video')
        self._human_render = human_render
        self.index = 0

    def render(self, frame, ps):
        res_frame, idx, type_ = frame

        if type_ == 0:
            combine_frame = self._context.frame_list_cycle[idx]
        else:
            bbox = self._context.coord_list_cycle[idx]
            combine_frame = copy.deepcopy(self._context.frame_list_cycle[idx])
            af = copy.deepcopy(self._context.align_frames[idx])
            inv_m = self._context.inv_m_frames[idx]
            y1, y2, x1, x2 = bbox
            try:
                res_frame = cv2.resize(res_frame.astype(np.uint8), (x2 - x1, y2 - y1))
                af[y1:y2, x1:x2] = res_frame
                combine_frame = img_warp_back_inv_m(af, combine_frame, inv_m)
            except Exception as e:
                print('resize error', e)
                return
            # cv2.imwrite(f'./images/res_frame_{ self.index }.png', res_frame)
            # combine_frame[y1:y2, x1:x2] = res_frame
            # cv2.imwrite(f'/combine_frame_{self.index}.png', combine_frame)
            # self.index = self.index + 1

        image = combine_frame
        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        if self._human_render is not None:
            self._human_render.put_image(image)