from reportlab.pdfgen.canvas import Canvas
from reportlab.lib.units import inch
#from xml.etree.ElementTree import ElementTree
from lxml import etree as ElementTree
import Image, re, sys

class HocrConverter():
	"""
	A class for converting documents to/from the hOCR format.
	For details of the hOCR format, see:
	http://docs.google.com/View?docid=dfxcv4vc_67g844kf
	See also:
	http://code.google.com/p/hocr-tools/
	Basic usage:
	Create a PDF from an hOCR file and an image:
	hocr = HocrConverter("path/to/hOCR/file")
	hocr.to_pdf("path/to/image/file", "path/to/output/file")
	"""
	def __init__(self, hocrFileName = None):
		self.hocr = None
		self.xmlns = ''
		self.boxPattern = re.compile('bbox((\s+\d+){4})')
		if hocrFileName is not None:
			self.parse_hocr(hocrFileName)
      
	def __str__(self):
		"""
		Return the textual content of the HTML body
		"""
		if self.hocr is None:
			return ''
		body = self.hocr.find(".//%sbody"%(self.xmlns))
		if body:
			return self._get_element_text(body).encode('utf-8') # XML gives unicode
		else:
			return ''
  
	def _get_element_text(self, element):
		"""
		Return the textual content of the element and its children
		"""
		text = ''
		if element.text is not None:
			text = text + element.text
		for child in element.getchildren():
			text = text + self._get_element_text(child)
		if element.tail is not None:
			text = text + element.tail
		return text
    
	def element_coordinates(self, element):
		"""
		Returns a tuple containing the coordinates of the bounding box around
		an element
		"""
		out = (0,0,0,0)
		if 'title' in element.attrib:
			matches = self.boxPattern.search(element.attrib['title'])
			if matches:
				coords = matches.group(1).split()
				out = (int(coords[0]),int(coords[1]),int(coords[2]),int(coords[3]))
		return out
    
	def parse_hocr(self, hocrFileName):
		"""
		Reads an XML/XHTML file into an ElementTree object
		"""
		self.hocr = ElementTree.ElementTree()
		self.hocr.parse(hocrFileName)
 
		# if the hOCR file has a namespace, ElementTree requires its use to find elements
		matches = re.match('({.*})html', self.hocr.getroot().tag)
		if matches:
			self.xmlns = matches.group(1)
		else:
			self.xmlns = ''
      
	def to_pdf(self, imageFileName, outFileName, fontname="Courier"):
		"""
		Creates a PDF file with an image superimposed on top of the text.
		Text is positioned according to the bounding box of the lines in
		the hOCR file.
		The image need not be identical to the image used to create the hOCR file.
		It can be scaled, have a lower resolution, different color mode, etc.
		"""
		if self.hocr is None:
			print "No hocr file provided. exiting"
			exit
      
		im = Image.open(imageFileName)
		if 'dpi' in im.info:
			width = float(im.size[0])/im.info['dpi'][0]
			height = float(im.size[1])/im.info['dpi'][1]
		else:
			# we have to make a reasonable guess
			# set to None for now and try again using info from hOCR file
			width = height = None
    
		# get dimensions of the OCR, which may not match the image
		ocr_dpi = (300, 300) # a default, in case we can't find it
		for div in self.hocr.findall(".//%sdiv[@class='ocr_page']"%(self.xmlns)):
			coords = self.element_coordinates(div)
			ocrwidth = coords[2]-coords[0]
			ocrheight = coords[3]-coords[1]
			if width is None:
				# no dpi info with the image
				# assume OCR was done at 300 dpi
				width = ocrwidth/300
				height = ocrheight/300
			ocr_dpi = (ocrwidth/width, ocrheight/height)
			break # there shouldn't be more than one, and if there is, we don't want it
            
		if width is None:
			# no dpi info within the image, and no help from the hOCR file either
			# this will probably end up looking awful, so issue a warning
			print "Warning: DPI unavailable for image %s. Assuming 300 DPI."%(imageFileName)
			width = float(im.size[0])/300
			height = float(im.size[1])/300
      
		# create the PDF file
		pdf = Canvas(outFileName, pagesize=(width*inch, height*inch), pageCompression=1) # page size in points (1/72 in.)
    
		# put the image on the page, scaled to fill the page
		#pdf.drawInlineImage(im, 0, 0, width=width*inch, height=height*inch)

		# check if element with class 'ocrx_word' are available
		# otherwise use 'ocr_line' as fallback
		elemclass="ocr_line"
		if self.hocr.find(".//%sspan[@class='ocrx_word']" %(self.xmlns)) is not None:
			elemclass="ocrx_word"


		for elem in self.hocr.findall(".//%sspan[@class='%s']" % (self.xmlns, elemclass)):

			elemtxt=self._get_element_text(elem).rstrip()
			if len(elemtxt) == 0:
				continue

			coords = self.element_coordinates(elem)

			# compute font size according to bbox coordinates
			fontsize=(coords[3]-coords[1])/(ocr_dpi[1]*(0.35146/25.4))

			# draw the bbox border
			#pdf.rect((float(coords[0])/ocr_dpi[0])*inch, (height*inch)-(float(coords[3])/ocr_dpi[1])*inch,(float(coords[2]-coords[0])/ocr_dpi[0])*inch, float(coords[3]-coords[1])/ocr_dpi[1]*inch, fill=0)

			text = pdf.beginText()
			text.setFont(fontname, fontsize)

			#text.setTextRenderMode(3) # invisible

			# set cursor to bottom left corner of bbox (adjust for dpi)
			text.setTextOrigin((float(coords[0])/ocr_dpi[0])*inch, (height*inch)-(float(coords[3])/ocr_dpi[1])*inch)
       
			# scale the width of the text to fill the width of the bbox
			text.setHorizScale((((float(coords[2])/ocr_dpi[0]*inch)-(float(coords[0])/ocr_dpi[0]*inch))/pdf.stringWidth(elemtxt, fontname, fontsize))*100)

			# write the text to the page
			text.textLine(elemtxt)
			pdf.drawText(text)

		# finish up the page and save it
		pdf.showPage()
		pdf.save()
  
if __name__ == "__main__":
	if len(sys.argv) < 4:
		print 'Usage: python HocrConverter.py inputHocrFile inputImageFile outputPdfFile'
		sys.exit(1)
	hocr = HocrConverter(sys.argv[1])
	hocr.to_pdf(sys.argv[2], sys.argv[3])