#! /usr/bin/python
# vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab
from __future__ import with_statement
import csv
import sys
import os
import getopt
from struct import pack
from struct import unpack
class DocParser(object):
def __init__(self, flatxml, classlst, fileid):
self.id = os.path.basename(fileid).replace('.dat','')
self.flatdoc = flatxml.split('\n')
self.classList = {}
tmpList = classlst.split('\n')
for pclass in tmpList:
if pclass != '':
# remove the leading period from the css name
cname = pclass[1:]
self.classList[cname] = True
self.ocrtext = []
self.link_id = []
self.link_title = []
self.link_page = []
self.dehyphen_rootid = []
self.paracont_stemid = []
self.parastems_stemid = []
# find tag if within pos to end inclusive
def lineinDoc(self, pos) :
docList = self.flatdoc
cnt = len(docList)
if (pos >= 0) and (pos < cnt) :
item = docList[pos]
if item.find('=') >= 0:
(name, argres) = item.split('=',1)
else :
name = item
argres = ''
return name, argres
# find tag if within pos to end inclusive
def findinDoc(self, tagpath, pos, end) :
result = None
docList = self.flatdoc
cnt = len(docList)
if end == -1 :
end = cnt
else:
end = min(cnt,end)
foundat = -1
for j in xrange(pos, end):
item = docList[j]
if item.find('=') >= 0:
(name, argres) = item.split('=')
else :
name = item
argres = ''
if name.endswith(tagpath) :
result = argres
foundat = j
break
return foundat, result
# return list of start positions for the tagpath
def posinDoc(self, tagpath):
startpos = []
pos = 0
res = ""
while res != None :
(foundpos, res) = self.findinDoc(tagpath, pos, -1)
if res != None :
startpos.append(foundpos)
pos = foundpos + 1
return startpos
# build a description of the paragraph
def getParaDescription(self, start, end):
result = []
# normal paragraph
(pos, pclass) = self.findinDoc('paragraph.class',start,end)
# class names are an issue given topaz may start them with numerals (not allowed),
# use a mix of cases (which cause some browsers problems), and actually
# attach numbers after "_reclustered*" to the end to deal with reflow issues
# but then not actually provide all of these _reclustereed classes in the stylesheet!
# so we clean this up by lowercasing, prepend 'cl_', and if not in the class
# list from the stylesheet, trying once more with "_reclustered*" removed
# if still not in stylesheet, let it pass as is
pclass = pclass.lower()
pclass = 'cl_' + pclass
if pclass not in self.classList:
p = pclass.find('_reclustered')
if p > 0 :
baseclass = pclass[0:p]
if baseclass in self.classList:
pclass = baseclass
# build up a description of the paragraph in result and return it
# first check for the basic - all words paragraph
(pos, sfirst) = self.findinDoc('paragraph.firstWord',start,end)
(pos, slast) = self.findinDoc('paragraph.lastWord',start,end)
if (sfirst != None) and (slast != None) :
first = int(sfirst)
last = int(slast)
for wordnum in xrange(first, last):
result.append(('ocr', wordnum))
return pclass, result
# this type of paragrph may be made up of multiple _spans, inline
# word monograms (images) and words with semantic meaning
# need to parse this type line by line
line = start + 1
word_class = ''
while (line < end) :
(name, argres) = self.lineinDoc(line)
if name.endswith('_span.firstWord') :
first = int(argres)
(name, argres) = self.lineinDoc(line+1)
if not name.endswith('_span.lastWord'):
print 'Error: - incorrect _span ordering inside paragraph'
last = int(argres)
for wordnum in xrange(first, last):
result.append(('ocr', wordnum))
line += 1
elif name.endswith('word.class'):
(cname, space) = argres.split('-',1)
if cname == 'spaceafter':
word_class = 'sa'
elif name.endswith('word.img.src'):
result.append(('img' + word_class, int(argres)))
word_class = ''
elif name.endswith('word_semantic.firstWord'):
first = int(argres)
(name, argres) = self.lineinDoc(line+1)
if not name.endswith('word_semantic.lastWord'):
print 'Error: - incorrect word_semantic ordering inside paragraph'
last = int(argres)
for wordnum in xrange(first, last):
result.append(('ocr', wordnum))
line += 1
line += 1
return pclass, result
def buildParagraph(self, cname, pdesc, type, regtype) :
parares = ''
sep =''
br_lb = False
if (regtype == 'fixed') or (regtype == 'chapterheading') :
br_lb = True
handle_links = False
if len(self.link_id) > 0:
handle_links = True
if (type == 'full') or (type == 'begin') :
parares += ''
if (type == 'end'):
parares += ' '
cnt = len(pdesc)
for j in xrange( 0, cnt) :
(wtype, num) = pdesc[j]
if wtype == 'ocr' :
word = self.ocrtext[num]
sep = ' '
if handle_links:
link = self.link_id[num]
if (link > 0):
title = self.link_title[link-1]
if title == "": title='_link_'
ptarget = self.link_page[link-1] - 1
linkhtml = '' % ptarget
linkhtml += title + ''
pos = parares.rfind(title)
if pos >= 0:
parares = parares[0:pos] + linkhtml + parares[pos+len(title):]
else :
parares += linkhtml
if word == '_link_' : word = ''
elif (link < 0) :
if word == '_link_' : word = ''
if word == '_lb_':
if (num-1) in self.dehyphen_rootid :
word = ''
sep = ''
elif handle_links :
word = ''
sep = ''
elif br_lb :
word = '
\n'
sep = ''
else :
word = '\n'
sep = ''
if num in self.dehyphen_rootid :
word = word[0:-1]
sep = ''
parares += word + sep
elif wtype == 'img' :
sep = ''
parares += '
' % num
parares += sep
elif wtype == 'imgsa' :
sep = ' '
parares += '' % num
parares += sep
if len(sep) > 0 : parares = parares[0:-1]
if (type == 'full') or (type == 'end') :
parares += '
'
return parares
# walk the document tree collecting the information needed
# to build an html page using the ocrText
def process(self):
htmlpage = ''
# first collect information from the xml doc that describes this page
(pos, argres) = self.findinDoc('info.word.ocrText',0,-1)
if argres : self.ocrtext = argres.split('|')
(pos, argres) = self.findinDoc('info.dehyphen.rootID',0,-1)
if argres:
argList = argres.split('|')
self.dehyphen_rootid = [ int(strval) for strval in argList]
(pos, self.parastems_stemid) = self.findinDoc('info.paraStems.stemID',0,-1)
if self.parastems_stemid == None : self.parastems_stemid = []
(pos, self.paracont_stemid) = self.findinDoc('info.paraCont.stemID',0,-1)
if self.paracont_stemid == None : self.paracont_stemid = []
(pos, argres) = self.findinDoc('info.word.link_id',0,-1)
if argres:
argList = argres.split('|')
self.link_id = [ int(strval) for strval in argList]
(pos, argres) = self.findinDoc('info.links.page',0,-1)
if argres :
argList = argres.split('|')
self.link_page = [ int(strval) for strval in argList]
(pos, argres) = self.findinDoc('info.links.title',0,-1)
if argres :
self.link_title = argres.split('|')
else:
self.link_title.append('')
(pos, pagetype) = self.findinDoc('page.type',0,-1)
# generate a list of each region starting point
# each region has one paragraph,, or one image, or one chapterheading
regionList= self.posinDoc('region')
regcnt = len(regionList)
regionList.append(-1)
anchorSet = False
breakSet = False
# process each region tag and convert what you can to html
for j in xrange(regcnt):
start = regionList[j]
end = regionList[j+1]
(pos, regtype) = self.findinDoc('region.type',start,end)
if regtype == 'graphic' :
if not anchorSet:
htmlpage += '
\n'
anchorSet = True
(pos, simgsrc) = self.findinDoc('img.src',start,end)
if simgsrc:
htmlpage += '
\n'
breakSet = True
if not anchorSet:
htmlpage += '
\n'
anchorSet = True
tag = 'h1'
if pclass[3:7] == 'ch1-' : tag = 'h1'
if pclass[3:7] == 'ch2-' : tag = 'h2'
if pclass[3:7] == 'ch3-' : tag = 'h3'
htmlpage += '<' + tag + ' class="' + pclass + '">'
htmlpage += self.buildParagraph(pclass, pdesc, 'middle', regtype)
htmlpage += ''
elif (regtype == 'text') or (regtype == 'fixed') or (regtype == 'insert') :
ptype = 'full'
# check to see if this is a continution from the previous page
if (len(self.parastems_stemid) > 0):
ptype = 'end'
self.parastems_stemid=[]
else:
if not anchorSet:
htmlpage += '
\n'
anchorSet = True
(pclass, pdesc) = self.getParaDescription(start,end)
if ptype == 'full' :
tag = 'p'
if pclass[3:6] == 'h1-' : tag = 'h4'
if pclass[3:6] == 'h2-' : tag = 'h5'
if pclass[3:6] == 'h3-' : tag = 'h6'
htmlpage += '<' + tag + ' class="' + pclass + '">'
htmlpage += self.buildParagraph(pclass, pdesc, 'middle', regtype)
htmlpage += ''
else :
htmlpage += self.buildParagraph(pclass, pdesc, ptype, regtype)
elif (regtype == 'tocentry') :
ptype = 'full'
# check to see if this is a continution from the previous page
if (len(self.parastems_stemid) > 0) and (j == 0):
# process the first paragraph as a continuation from the last page
ptype = 'end'
self.parastems_stemid = []
else:
if not anchorSet:
htmlpage += '
\n'
anchorSet = True
(pclass, pdesc) = self.getParaDescription(start,end)
htmlpage += self.buildParagraph(pclass, pdesc, ptype, regtype)
elif regtype == 'synth_fcvr.center' :
if not anchorSet:
htmlpage += '
\n'
anchorSet = True
(pos, simgsrc) = self.findinDoc('img.src',start,end)
if simgsrc:
htmlpage += '
\n'
anchorSet = True
(pclass, desc) = self.getParaDescription(start,end)
if ptype == 'full' :
tag = 'p'
if pclass[3:6] == 'h1-' : tag = 'h4'
if pclass[3:6] == 'h2-' : tag = 'h5'
if pclass[3:6] == 'h3-' : tag = 'h6'
htmlpage += '<' + tag + ' class="' + pclass + '">'
htmlpage += self.buildParagraph(pclass, pdesc, 'middle', regtype)
htmlpage += ''
else :
htmlpage += self.buildParagraph(pclass, pdesc, ptype, regtype)
if len(self.paracont_stemid) > 0 :
if htmlpage[-4:] == '':
htmlpage = htmlpage[0:-4]
return htmlpage
return self.convert2HTML()
def convert2HTML(flatxml, classlst, fileid):
# create a document parser
dp = DocParser(flatxml, classlst, fileid)
htmlpage = dp.process()
return htmlpage