import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime

path = 'images'
images = []
personName = []
myList = os.listdir(path)

print(myList)

for cu_img in myList:
    current_Img = cv2.imread(f'{path} / {cu_img}')
    images.append(current_Img)
    personName.append(os.path.splitext(cu_img)[0])

print(personName)


def faceEncodings(images):
    encodeList = []

    for img in images:
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        encode = face_recognition.face_encodings(img)[0]
        encodeList.append(encode)

    return encodeList


encodeListKnown = (faceEncodings(images))
print("All Encoding Complete!!!!!")


def attendance(name):
    with open('Attendance.csv', 'r+') as f:
        myDataList = f.readlines()
        nameList = []
        for line in myDataList:
            entry = line.split(',')
            nameList.append(entry[0])

        if name not in nameList:
            time_now = datetime.now()
            tStr = time_now.strftime('%H:%M:%S')
            dStr = time_now.strftime('%d/%m/%Y')
            f.writelines(f'{name}, {tStr}, {dStr}')


cap = cv2.VideoCapture(0)

while True:

    ret, frame = cap.read()
    faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
    faces = cv2.cvtColor(faces, cv2.COLOR_BGR2RGB)

    facesCurrentFrame = face_recognition.face_locations(faces)
    encodesCurrentFrame = face_recognition.face_encodings(faces, facesCurrentFrame)

    for encodeFace, faceLoc in zip(encodesCurrentFrame, facesCurrentFrame):
        matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
        faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)

        matchIndex = np.argmin(faceDis)

        if matches[matchIndex]:
            name = personName[matchIndex].upper()

            y1, x2, y2, x1 = faceLoc

            y1, x2, y2, x1 = y1*4, x2*4, y2*4, x1*4
            cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
            cv2.rectangle(frame, (x1, y2-35), (x2, y2), (0, 255, 0), cv2.FILLED)
            cv2.putText(frame, name, (x1+6, y2-6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 0, 0), 1)
            attendance(name)
    cv2.imshow("Camera", frame)

    if cv2.waitKey(10) == 13:
        break

cap.release()

cv2.destroyAllWindows()
