import re
import requests as req
# import Flask as Flask
import imutils
# from flask import Flask,render_template,request,json,jsonify
import cv2
import os
import pytesseract
from PIL import Image
from flask import Flask, request, render_template, json
import uuid
app = Flask(__name__)
BINARY_THREHOLD = 180
APP_ROOT = os.path.dirname(os.path.abspath(__file__))
# Start
# make a UUID based on the host ID and current time
@app.route('/',methods=['post','get'])
def main():
    return render_template("start.html")
@app.route('/start',methods=['POST','GET'])
def start():
    print("stay")
    if request.files['attachement']:
        target = os.path.join(APP_ROOT, 'static/files')
        print(target)
        # os.makedirs(target)
        file = request.files['attachement']
        print(file)
        filename = file.filename
        destination = "/".join([target, filename])
        print(destination)
        file.save(destination)
        base = os.path.basename(destination)
        print(base)
        oriimage = cv2.imread(destination)
        newimage = cv2.resize(oriimage,(984,582))
        # cv2.imshow("iiihufasfva",newimage)
        # dob=cv2.imread(newimage)
        # cv2.imshow("dob",newimage)
        dob=cv2.imread(destination)
        cv2.imwrite("C:/Users/shruthipriyanka/PycharmProjects/Scanning/newone.png",newimage)
        imgray1 = cv2.cvtColor(newimage,cv2.COLOR_BGR2GRAY)
        ret2,threshone = cv2.threshold(imgray1,139,255,cv2.THRESH_BINARY)
        cv2.imwrite("C:/Users/shruthipriyanka/PycharmProjects/Scanning/threshone.png",threshone)
        single=Image.open("C:/Users/shruthipriyanka/PycharmProjects/Scanning/threshone.png")
        singlejoin=pytesseract.image_to_string(single,lang='eng',config='--tessdata-dir "C://Tesseract-OCR//tessdata"')
        print(singlejoin)
        fetchdate=re.findall("d{2}/+d{2}/+d{4}",singlejoin)
        print(fetchdate)
        lofetch=[]
        for dd in fetchdate:
            print(dd)
            duty=re.split("/",dd)
            print(duty)
            lofetch.append(dd)
        print(lofetch)
        print(lofetch[0])

        # name
        singlenamepart = newimage[110:180, 190:650]
        cv2.imshow("singlenamepart", singlenamepart)
        singlenamepartgray = cv2.cvtColor(singlenamepart, cv2.COLOR_BGR2GRAY)
        ret2, threshsingle = cv2.threshold(singlenamepartgray, 189, 255, cv2.THRESH_BINARY)
        cv2.imwrite("C:/Users/shruthipriyanka/PycharmProjects/Scanning/singlenamepart.png", singlenamepart)
        singlenamepartopen = Image.open("C:/Users/shruthipriyanka/PycharmProjects/Scanning/singlenamepart.png")
        singlenameparttrain = pytesseract.image_to_string(singlenamepartopen, lang='eng',
                                                      config='--tessdata-dir "C://Tesseract-OCR//tessdata"')
        print("singlenameparttrain:", singlenameparttrain)
        # namesecond
        namesecond = newimage[150:210, 190:650]
        cv2.imshow("singlenamepart", namesecond)
        namesecondpartgray = cv2.cvtColor(namesecond, cv2.COLOR_BGR2GRAY)
        ret2, threshsingle = cv2.threshold(namesecondpartgray, 189, 255, cv2.THRESH_BINARY)
        cv2.imwrite("C:/Users/shruthipriyanka/PycharmProjects/Scanning/namelysecond.png", namesecond)
        nome = Image.open("C:/Users/shruthipriyanka/PycharmProjects/Scanning/namelysecond.png")
        nometrain = pytesseract.image_to_string(nome, lang='eng',
                                                          config='--tessdata-dir "C://Tesseract-OCR//tessdata"')
        print("nome:", nometrain)

        # address
        adress = newimage[260:350, 350:950]
        cv2.imshow("adress", adress)
        adresspartry = cv2.cvtColor(namesecond, cv2.COLOR_BGR2GRAY)
        ret2, threshsingle = cv2.threshold(adresspartry, 189, 255, cv2.THRESH_BINARY)
        cv2.imwrite("C:/Users/shruthipriyanka/PycharmProjects/Scanning/ado.png", adress)
        addadd = Image.open("C:/Users/shruthipriyanka/PycharmProjects/Scanning/ado.png")
        adding = pytesseract.image_to_string(addadd, lang='eng',
                                                config='--tessdata-dir "C://Tesseract-OCR//tessdata"')
        print("adding:", adding)

        # dateofbirth
        datyformat = dob[165:225, 190:650]
        cv2.imshow("datyformat", datyformat)
        nametwogray = cv2.cvtColor(datyformat, cv2.COLOR_BGR2GRAY)
        ret2, threshnametwo = cv2.threshold(nametwogray, 135, 255, cv2.THRESH_BINARY)
        cv2.imwrite("C:/Users/shruthipriyanka/PycharmProjects/Scanning/datyformat.png", datyformat)
        datyformatopen = Image.open("C:/Users/shruthipriyanka/PycharmProjects/Scanning/datyformat.png")
        datyformattrainone = pytesseract.image_to_string(datyformatopen, lang='eng',
                                                         config='--tessdata-dir "C://Tesseract-OCR//tessdata"')
        print("nameone:", datyformattrainone)
        dateformatone = re.findall('d{2}/+d{2}/+d{4}', datyformattrainone)
        print(dateformatone)
        datepart = dob[195:300, 190:950]
        cv2.imshow("datepart", datepart)
        datepartgray = cv2.cvtColor(datepart, cv2.COLOR_BGR2GRAY)
        ret2, datepartnametwo = cv2.threshold(datepartgray, 135, 255, cv2.THRESH_BINARY)
        cv2.imwrite("C:/Users/shruthipriyanka/PycharmProjects/Scanning/datepart.png", datepartnametwo)
        datepartopen = Image.open("C:/Users/shruthipriyanka/PycharmProjects/Scanning/datepart.png")
        dateparttrain = pytesseract.image_to_string(datepartopen, lang='eng',
                                                    config='--tessdata-dir "C://Tesseract-OCR//tessdata"')
        print("datepart:", dateparttrain)

        dateformat = re.findall('d{2}/+d{2}/+d{4}', dateparttrain)
        print(dateformat)
        dateformatstring=re.findall('d+',dateparttrain)
        print(dateformatstring)

        if dateformatone:
            aa = dateformatone
            print(aa)
        elif dateformat:
            aa = dateformat
            print(aa)
        # singlecharacter
        singlepart = newimage[200:290, 350:950]
        cv2.imshow("singlepart",singlepart)
        singlepartgray = cv2.cvtColor(singlepart, cv2.COLOR_BGR2GRAY)
        ret2, threshsingle = cv2.threshold(singlepartgray, 189, 255, cv2.THRESH_BINARY)
        cv2.imwrite("C:/Users/shruthipriyanka/PycharmProjects/Scanning/singlepart.png",singlepart)
        singlepartopen=Image.open("C:/Users/shruthipriyanka/PycharmProjects/Scanning/singlepart.png")
        singleparttrain=pytesseract.image_to_string(singlepartopen,lang='eng',config='--tessdata-dir "C://Tesseract-OCR//tessdata"')
        print("singlecharar:",singleparttrain)
        def upperOnly(s):
            onlyCaps = ""
            for char in s:
                if char.isupper() == True:
                    onlyCaps += char
            return onlyCaps
        upper=upperOnly(singleparttrain)
        print(upper)
        singlele=[]
        for pos in singleparttrain:
            singlele.append(pos)
            print(pos)
        print(singlele)
        carddid = "CardID" + '_' + uuid.uuid4().hex[:4].upper()
        print("Pass_ID:", carddid)
        gen=""
        for ap in singlele:
            if ap=="F"or"f":
                gen="Female"
                print(gen)
                pass
            elif ap=="M"or"m":
                gen="Male"
                print(gen)
                pass
            elif ap!="F"and"M":
                gen="Female"

            # elif ap=="F" and "M":
            #     gen="female"
            #     print(gen)

        datas = {"paasid": carddid, "name": nometrain,
                 "surname": singlenameparttrain, "addtwo": adding, "dob": lofetch[0], "gender": gen}
if __name__ == '__main__':
    app.run()