import os

import cv2
import time
import pandas
from datetime import datetime
import telebot

import config

bot = telebot.TeleBot(config.TOKEN)


prev_frame = None
times = []
# df = pandas.DataFrame(columns=["start", "end"])
video = cv2.VideoCapture(0)
status_new = 0
counter = 0
low_red = (176, 132, 97)
high_red = (209, 151, 114)
face_cascade = cv2.CascadeClassifier("smile.xml")

while True:
    status_new, status_old = 0, status_new
    check, frame = video.read()
    only_cat = cv2.inRange(frame, low_red, high_red)
    # cat_hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray, (21, 21), 0)

    if prev_frame is None:
        prev_frame = gray
        # continue

    delta_frame = cv2.absdiff(prev_frame, gray)
    prev_frame = gray
    thresh_delta = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
    thresh_frame = cv2.dilate(thresh_delta, None, iterations=2)

    (_, cnts, _) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    print(len(cnts))
    for contour in cnts:
        if cv2.contourArea(contour) < 1000:
            continue
        status_new, status_old = 1, status_new
        (x, y, w, h) = cv2.boundingRect(contour)
        # cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 3)
    # status_list.append(status)
    if status_new != status_old:
        # times.append(datetime.now())
        print("=" * 10)
        file_name = config.PATH + config.FILE_NAME.format(counter)
        cv2.imwrite(file_name, frame)
        # send to telegram chat and rmove from disk
        bot.send_photo(config.CHAT_ID, open(file_name, "rb"))
        os.remove(file_name)
        counter += 1
    # cv2.imshow("capt", gray)
    # cv2.imshow("delta", delta_frame)
    # cv2.imshow("threshold", thresh_frame)
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=10)
    # for x, y, w, h in faces:
    #     img = cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 3)
    # print(type(faces))
    # cv2.imshow("face_detector", img)
    cv2.imshow("cat", only_cat)
    cv2.imshow("rectangle", frame)
    key = cv2.waitKey(1)
    if key == ord("q"):  # quit
        break
#
# for t in range(0, len(times), 2):
#     df = df.append({"start": times[t], "end": times[t+1]}, ignore_index=True)
#
# df.to_csv("times.csv")
video.release()
cv2.destroyAllWindows