# -*- coding: utf-8 -*-
import datetime
import time
import cv2
from cv2 import waitKey
import numpy as np
import uuid
from _image_clip_setting import image_clip


def task_init_load_digits():

    # 加载数字模板
    path = './templates'    # 这个地方就是获取当前运行目录 获取函数在主函数里面
    # 和模板的数字进行匹配
    digits.append([cv2.imread(path + "/@-0.jpg", cv2.IMREAD_GRAYSCALE), '@'])
    digits.append([cv2.imread(path + "/@-1.jpg", cv2.IMREAD_GRAYSCALE), '@'])
    digits.append([cv2.imread(path + "/@-2.jpg", cv2.IMREAD_GRAYSCALE), '@'])
    digits.append([cv2.imread(path + "/0-0.jpg", cv2.IMREAD_GRAYSCALE), 0])
    digits.append([cv2.imread(path + "/0-1.jpg", cv2.IMREAD_GRAYSCALE), 0])
    digits.append([cv2.imread(path + "/1-0.jpg", cv2.IMREAD_GRAYSCALE), 1])
    digits.append([cv2.imread(path + "/1-1.jpg", cv2.IMREAD_GRAYSCALE), 1])
    digits.append([cv2.imread(path + "/2-0.jpg", cv2.IMREAD_GRAYSCALE), 2])
    digits.append([cv2.imread(path + "/2-1.jpg", cv2.IMREAD_GRAYSCALE), 2])
    digits.append([cv2.imread(path + "/3-0.jpg", cv2.IMREAD_GRAYSCALE), 3])
    digits.append([cv2.imread(path + "/4-0.jpg", cv2.IMREAD_GRAYSCALE), 4])
    digits.append([cv2.imread(path + "/5-0.jpg", cv2.IMREAD_GRAYSCALE), 5])
    digits.append([cv2.imread(path + "/5-1.jpg", cv2.IMREAD_GRAYSCALE), 5])
    digits.append([cv2.imread(path + "/5-2.jpg", cv2.IMREAD_GRAYSCALE), 5])
    digits.append([cv2.imread(path + "/6-0.jpg", cv2.IMREAD_GRAYSCALE), 6])
    digits.append([cv2.imread(path + "/7-0.jpg", cv2.IMREAD_GRAYSCALE), 7])
    digits.append([cv2.imread(path + "/8-0.jpg", cv2.IMREAD_GRAYSCALE), 8])
    digits.append([cv2.imread(path + "/8-1.jpg", cv2.IMREAD_GRAYSCALE), 8])
    digits.append([cv2.imread(path + "/8-2.jpg", cv2.IMREAD_GRAYSCALE), 8])
    digits.append([cv2.imread(path + "/8-3.jpg", cv2.IMREAD_GRAYSCALE), 8])
    digits.append([cv2.imread(path + "/8-4.jpg", cv2.IMREAD_GRAYSCALE), 8])
    digits.append([cv2.imread(path + "/9-0.jpg", cv2.IMREAD_GRAYSCALE), 9])
    digits.append([cv2.imread(path + "/9-1.jpg", cv2.IMREAD_GRAYSCALE), 9])
    digits.append([cv2.imread(path + "/9-2.jpg", cv2.IMREAD_GRAYSCALE), 9])
    digits.append([cv2.imread(path + "/9-3.jpg", cv2.IMREAD_GRAYSCALE), 9])
    digits.append([cv2.imread(path + "/9-4.jpg", cv2.IMREAD_GRAYSCALE), 9])


digits = []
fail_count = 0 


def get_most_simmilar_digit(target_img):
    source = []
    #img_gray = cv2.cvtColor(target_img, cv2.COLOR_BGR2GRAY)
    #ret, binary = cv2.threshold(img_gray,0,255,cv2.THRESH_BINARY | cv2.THRESH_OTSU)
    # 循环对比模板的图片
    if len(digits) < 5:
        task_init_load_digits()
    for digitROI in digits:
        res = cv2.matchTemplate(target_img, digitROI[0], cv2.TM_CCOEFF_NORMED)
        max_val = cv2.minMaxLoc(res)[1]
        source.append(max_val)
    print(max(source))
    if max(source) > 0.3:
        return digits[source.index(max(source))][1]
    else:
        return "@"


def get_digit(frame):
    image = frame[image_clip[0]:image_clip[1], image_clip[2]:image_clip[3]]
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    thresh = cv2.threshold(gray, 0, 255,
                           cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5))
    counter = cv2.morphologyEx(thresh.copy(), cv2.MORPH_OPEN, kernel)
    image_h = image.shape[0]
    contours, hierarchy = cv2.findContours(
        counter, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    contours_count = 0
    return_numbers = []
    for c in contours:
        x, y, w, h = cv2.boundingRect(c)
        if hierarchy[0][contours_count][3] ==0 and h > image_h * 0.3:
        #if image_h*0.98 > h > image_h * 0.3:
            #print((x, y, w, h))
            #cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
            one_number = get_most_simmilar_digit(cv2.threshold(cv2.resize(
                gray[y:y+h, x:x+w], (20, 30)), 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1])
            if one_number != '@':
                return_numbers.append([x, one_number])
            else:
                return return_numbers, False
            cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
        contours_count += 1 
    cv2.imshow('frame', image)
    return_numbers = np.array(sorted(return_numbers))
    return return_numbers[:, -1], True


# 程序入口
def check_one_frame(frame):
    return_numbers, staus_check = get_digit(frame)
    print(return_numbers)
    digit = 0
    global fail_count
    if staus_check:
        if len(return_numbers) == 3:
            digit = return_numbers[0] + \
                return_numbers[1]*0.1+return_numbers[2]*0.01
        elif len(return_numbers) == 4:
            digit = return_numbers[0]*10+return_numbers[1] + \
                return_numbers[2]*0.1+return_numbers[3]*0.1
        else:
            # do got another image
            print('fails') 
            fail_count += 1
            cv2.rectangle(frame, (image_clip[2], image_clip[0]), (image_clip[3], image_clip[1]), (0, 255, 0), 2)
            cv2.imwrite('./fails/count_fail_'+str(uuid.uuid1())+'.jpg',frame)

    else:
        print('fails')
        fail_count +=1
        cv2.rectangle(frame, (image_clip[2], image_clip[0]), (image_clip[3], image_clip[1]), (0, 255, 0), 2)
        cv2.imwrite('./fails/status_fail_'+str(uuid.uuid1())+'.jpg',frame)
    print(round(digit,2))
    cv2.putText(frame, str(round(digit,2)), (image_clip[2], image_clip[0]-50),
                cv2.FONT_HERSHEY_COMPLEX, 1.0, (100, 200, 200), 5)
    cv2.imshow('add_text', frame)
    if cv2.waitKey(5) & 0xFF == ord('q'):  # 按q退出
        cv2.waitKey(0)


cap = cv2.VideoCapture("video.mp4")  # for testing
total_frame = 0 
while(cap.isOpened()):
    ret, frame = cap.read()
    if ret == True:
        total_frame +=1
        check_one_frame(frame)
    else:
        break
cap.release()
print(fail_count)
print(fail_count/total_frame)