from random import randint
import cv2
import numpy as np
import os
import multiprocessing
import time

class Video:
    def __init__(self, x, y):
        self.x = x
        self.y = y

    def setVideo(self, path):
        self.path = path

    def start(self):
        self.run = True
        self.cap = cv2.VideoCapture(self.path)
        # Check if camera opened successfully
        if (self.cap.isOpened()== False): 
            print("Error opening video  file")

        totalframecount= int(self.cap.get(cv2.CAP_PROP_FRAME_COUNT))

        print("The total number of frames in this video is ", totalframecount)

        # self.cap.set(cv2.CAP_PROP_POS_FRAMES, randint(0, totalframecount* 0.9))
        
        # Read until video is completed
        while(self.cap.isOpened() and self.run):
            
            # Capture frame-by-frame
            ret, frame = self.cap.read()
            if ret == True:
            
                # Display the resulting frame
                
                cv2.namedWindow("window", cv2.WND_PROP_FULLSCREEN)
                cv2.moveWindow("window", self.x, self.y)
                cv2.setWindowProperty("window",cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN)
                
                cv2.imshow("window", frame)
            
            # Break the loop
            else: 
                break

    def stop(self):
        self.run = False
        self.cap.release()
   
        # Closes all the frames
        cv2.destroyAllWindows()

if __name__ == "__main__":
    video = Video(0, 0)
    video.setVideo("slave/sample-mp4-file.mp4")
    x = multiprocessing.Process(target = video.start)
    x.start()
    time.sleep(1)
    x.terminate()
    time.sleep(1)
    x = multiprocessing.Process(target = video.start)
    x.start()
    time.sleep(1)
    x.terminate()