import math
import time
import numpy as np
import cv2 #pip install opencv-python ||| pip3 install opencv-contrib-python==4.4.0.46
from gpiozero import Button
from escpos.printer import Serial

from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont

from deepface import DeepFace #pip install deepface
button = Button(2)

cam = cv2.VideoCapture(1)
cv2.namedWindow("webcam", cv2.WND_PROP_FULLSCREEN)
cv2.setWindowProperty("webcam",cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN)
printer = Serial(devfile='/dev/serial0',baudrate=19200,bytesize=8,parity='N',stopbits=1.00,dsrdtr=True)
printer.set(density=10)
cameraMode = False
TIMER = 5

startScreen = cv2.imread("noFace.png")

if cam.isOpened():
    while True:
        ret, img = cam.read()
        # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
        if cameraMode and ret:
            prev = time.time() 
            while TIMER >= 0:
                ret, img = cam.read()
                # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
                # cv2.putText(img, str(TIMER), (200, 250), cv2.FONT_HERSHEY_SIMPLEX, 7, (0, 255, 255), 4, cv2.LINE_AA)
                img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE) 
                img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) 
                img = Image.fromarray(img)
                draw = ImageDraw.Draw(img)
                
                fontBIG = ImageFont.truetype("HalloweenFont.ttf", 200)
                fontSmall = ImageFont.truetype("HalloweenFont.ttf", 60)
                if TIMER>0:
                    draw.text((180, 400), str(TIMER), font=fontBIG,fill=(255,0,0,255))
                else:
                    draw.text((30, 480), "ANALYZING...", font=fontSmall,fill=(255,0,0,255))
                img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
                img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
                cv2.imshow('webcam',img)
                # print(str(TIMER))
                cur = time.time() #current time
                if cur-prev >= 1: 
                    prev = cur
                    TIMER = TIMER-1
                key = cv2.waitKey(5) & 0xFF
                if ord('q') == key:
                    break
            else:
                ret, img = cam.read()
                img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE) 
                # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
                predictions = DeepFace.analyze(img,actions=['emotion'])
                fearPoint = predictions[0]["emotion"]["fear"]
                print("FEAR:" + str(round(fearPoint,2)))
                cv2.imwrite('scared.jpg', img) 
                img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) 
                img = Image.fromarray(img)
                draw = ImageDraw.Draw(img)
                font_size = 65
                font = ImageFont.truetype("HalloweenFont.ttf", font_size)
                text = "FEAR LEVEL"
                draw.text((59, 452), str(text), font=font,fill=(255,0,0,255))
                img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)

                cv2.rectangle(img,(30,550),(30+math.floor(int(fearPoint)*420/100),600),(255,255,255), -1)
                cv2.rectangle(img,(30,550),(450,600),(0,0,255), 8)
                img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) 
                cv2.imshow('webcam',img)
                cv2.waitKey(5000)
                if fearPoint>0:
                    #rotoImg = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
                    # cv2.imshow('webcam',img)
                    basewidth = 384
                    imgCrop = Image.open('scared.jpg')
                    wpercent = (basewidth/float(imgCrop.size[0]))
                    hsize = int((float(imgCrop.size[1])*float(wpercent)))
                    imgCrop = imgCrop.resize((basewidth,hsize), Image.Resampling.LANCZOS)
                    imgCrop = imgCrop.save("cropScared.jpg")
                    # cv2.waitKey(2000)
                    # printer.set(align='center',font='b',width=2,height=2)
                 
                    # printer.image("cropScared.jpg",impl="bitImageRaster")
                    # printer.text("Fear Level: \n" + str(round(fearPoint,2))+"/100\n")  
                    # printer.text("(Scream Queen)\n")
                    # printer.text("\n\n\n\n")
                    #printer.set(align='center',font='b',width=1,height=1)
                    #printer.text("Spooky Night 2023")
                    #printer.text("2023\n")
                    # cv2.waitKey(5000)
                
                #print(30+math.floor(int(fearPoint)*580/100))
                # ft.putText(img=img,text='TEST',org=(15, 70),fontHeight=60,color=(255,  255, 255),thickness=-1,line_type=cv2.LINE_AA,bottomLeftOrigin=True)
                #cv2.rectangle(img,(30,400),(610,450),(255,255,255), 5)
                #cv2.rectangle(img,(30,400),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1)

                # cv2.waitKey(5000)



                cameraMode = False
                TIMER = 5
        else:
            cv2.imshow('webcam',startScreen) 
        
        key = cv2.waitKey(5) & 0xFF
        if ord('t') == key or button.is_pressed:
            cameraMode = True
        if ord('q') == key:
            break
           
cam.release()