#encoding = utf8
import copy
from queue import Empty

import cv2
import numpy as np

from base_render import BaseRender


class VideoRender(BaseRender):
    def __init__(self, play_clock, context, human_render):
        super().__init__(play_clock)
        self._context = context
        self._human_render = human_render

    def __run_step(self):
        try:
            res_frame, idx, type_, ps = self._queue.get(block=True, timeout=0.01)
        except Empty:
            return

        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])
            y1, y2, x1, x2 = bbox
            try:
                res_frame = cv2.resize(res_frame.astype(np.uint8), (x2 - x1, y2 - y1))
            except:
                return
            # combine_frame = get_image(ori_frame,res_frame,bbox)
            # t=time.perf_counter()
            combine_frame[y1:y2, x1:x2] = res_frame

        clock_time = self._play_clock.clock_time()
        time_difference = abs(clock_time - ps)
        if time_difference > self._play_clock.audio_diff_threshold:
            print('video is slow')
            return
        # elif time_difference < self._play_clock.audio_diff_threshold:

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