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import rotation

import cv2

import numpy as np

import math

import os

import sys

import y_scale_length

#import ocr_parse

from bs4 import BeautifulSoup

def extract_y_scale(input_file,coordinate,working_dir) :

print(working_dir)

img = cv2.imread(input_file,cv2.IMREAD_GRAYSCALE)

rows,cols = img.shape

img = img[0:rows,0:coordinate]

temp_file = 'temp.png'

temp_file = os.path.join(working_dir,temp_file)

temp1_file = 'temp1.png'

temp1_file = os.path.join(working_dir,temp1_file)

cv2.imwrite(temp_file,img)

cv2.imwrite(temp1_file,img)

output_file = "test3.png"

output_file = os.path.join(working_dir,output_file)

testing_file = "rectangle_y.png"

testing_file = os.path.join(working_dir,testing_file)

rotation.rotate(temp_file,output_file,1)

img = cv2.imread(output_file,cv2.IMREAD_GRAYSCALE)

cv2.imwrite(temp1_file,img)

rows,cols = img.shape

out_hocr_file = os.path.join(working_dir,"out1")

os.system("tesseract "+output_file+" "+out_hocr_file+" hocr")

#os.rename('out.hocr','out.xml')

output_array = []

y_pos=[]

f = open(out_hocr_file+".hocr",'r')

data=f.read()

soup = BeautifulSoup(data)

'''

i = soup.find('span',{'class':'ocr_line'})

h= i.get('title').split(' ')

k= h[1:5]

k[-1]=k[-1][:-1]

print k

'''

mini = 1000000000

for i in soup.find_all('span',{'class':'ocr_line'}) :

h= i.get('title').split(' ')

k= h[1:5]

k[-1]=k[-1][:-1]

print k

if int(k[3])<mini :

mini = int(k[3])

#cv2.rectangle(img,(int(k[0]),int(k[1])),(int(k[2]),int(k[3])),(0,255,0),3)

#print min

#cv2.rectangle(img,(294,60),(394,75),(0,255,0),3)

#cv2.imwrite(temp1_file,img)

#cv2.rectangle(img,(int(k[0]),int(k[1])),(int(k[2]),int(k[3])),(0,255,0),3)

#cv2.imwrite(output_file,img)

img = img[mini:rows,0:cols]

cv2.imwrite(temp_file,img)

rotation.rotate(temp_file,output_file,0)

out_hocr_file_2 = os.path.join(working_dir,"out")

img1 = cv2.imread(output_file)

os.system("tesseract "+output_file+" "+out_hocr_file_2+" hocr")

f = open(out_hocr_file_2+".hocr",'r')

data=f.read()

a = []

index = []

soup = BeautifulSoup(data)

count = 0

for i in soup.find_all('span',{'class':'ocrx_word'}) :

print 'ndns'

print i.text

h= i.get('title').split(' ')

k= h[1:5]

k[-1]=k[-1][:-1]

cv2.rectangle(img1,(int(k[0])-1,int(k[1])+1),(int(k[2])+1,int(k[3])-1),(0,255,0),3)

x = ''

for char in i.text :

if char == 'O' or char =='o':

x+='0'

else :

x+=char

print x

count = count+1

try :

y = float(x)

output_array.append(float(x))

y_pos.append((int(k[1])+int(k[3]))/2)

index.append(count)

except :

continue

cv2.imwrite(testing_file,img1)

y1 = output_array[0]

y2 = output_array[1]

pos1 = y_pos[0]

pos2 = y_pos[1]

scale = abs(y1-y2)/abs(index[0]-index[1])

return y1,y2,pos1,pos2,scale

'''

h= i.get('title').split(' ')

k= h[1:5]

k[-1]=k[-1][:-1]

t = (int(k[1])+int(k[3]))/2

x = a[0] - a[1]

leng = len(output_array)

y = a[leng-1]

z = a[leng-2] - 2*a[leng-1]

print z

yl = y_scale_length.y_scale_length(output_file)

if abs(xcoordinate - t>= 0.1*yl) :

#print output_array[leng-1] - x

output_array.append(z)

'''

if __name__ == '__main__':

array = []

y0=0

y1=0

pos0=0

pos1=0

scale=0

extract_y_scale('pic1.png',133,'test3.png',y0,y1,pos0,pos1,scale)