300 lines
11 KiB
Python
300 lines
11 KiB
Python
#! /usr/bin/python
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# vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab
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from __future__ import with_statement
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import csv
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import sys
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import os
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import getopt
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from struct import pack
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from struct import unpack
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class DocParser(object):
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def __init__(self, flatxml, fileid):
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self.id = os.path.basename(fileid).replace('.dat','')
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self.flatdoc = flatxml.split('\n')
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self.ocrtext = []
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self.link_id = []
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self.link_title = []
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self.link_page = []
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self.dehyphen_rootid = []
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self.paracont_stemid = []
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self.parastems_stemid = []
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# find tag if within pos to end inclusive
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def findinDoc(self, tagpath, pos, end) :
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result = None
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docList = self.flatdoc
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cnt = len(docList)
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if end == -1 :
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end = cnt
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else:
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end = min(cnt,end)
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foundat = -1
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for j in xrange(pos, end):
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item = docList[j]
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if item.find('=') >= 0:
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(name, argres) = item.split('=')
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else :
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name = item
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argres = ''
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if name.endswith(tagpath) :
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result = argres
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foundat = j
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break
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return foundat, result
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# return list of start positions for the tagpath
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def posinDoc(self, tagpath):
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startpos = []
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pos = 0
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res = ""
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while res != None :
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(foundpos, res) = self.findinDoc(tagpath, pos, -1)
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if res != None :
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startpos.append(foundpos)
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pos = foundpos + 1
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return startpos
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# get a description of the paragraph
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def getParaDescription(self, start, end):
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# normal paragraph
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(pos, pclass) = self.findinDoc('paragraph.class',start,end)
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# class names are an issue given topaz starts them with numerals (not allowed)
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# use a mix of cases, (which cause some browsers problems), and actually
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# attach numbers after "reclustered*" to the end to deal with reflow issues
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# so we clean this up by lowercasing, prepend 'cl_', and remove all end pieces after reclustered
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pclass = pclass.lower()
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pclass = 'cl_' + pclass
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p = pclass.find('reclustered')
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if p > 0 : pclass = pclass[0:p+11]
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(pos, sfirst) = self.findinDoc('paragraph.firstWord',start,end)
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(pos, slast) = self.findinDoc('paragraph.lastWord',start,end)
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if (sfirst != None) and (slast != None) :
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return pclass, int(sfirst), int(slast)
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# some paragraphs are instead split into multiple spans and some even have word_semantic tags as well
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# so walk through this region keeping track of the first firstword, and the last lastWord
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# on any items that have it
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(pos, sfirst) = self.findinDoc('firstWord',start, end)
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first = int(sfirst)
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last = -1
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for i in xrange(pos+1,end):
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(pos, slast) = self.findinDoc('lastWord',i,i+1)
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if slast != None:
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last = int(slast)
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return pclass, first, last
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def buildParagraph(self, cname, first, last, type, regtype) :
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parares = ''
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sep =''
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br_lb = False
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if (regtype == 'fixed') or (regtype == 'chapterheading') :
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br_lb = True
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handle_links = False
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if len(self.link_id) > 0:
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handle_links = True
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if (type == 'full') or (type == 'begin') :
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parares += '<p class="' + cname + '">'
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if (type == 'end'):
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parares += ' '
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for j in xrange(first, last) :
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word = self.ocrtext[j]
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sep = ' '
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if handle_links:
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link = self.link_id[j]
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if (link > 0):
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title = self.link_title[link-1]
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if title == "": title='_link_'
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ptarget = self.link_page[link-1] - 1
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linkhtml = '<a href="#page%04d">' % ptarget
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linkhtml += title + '</a>'
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pos = parares.rfind(title)
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if pos >= 0:
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parares = parares[0:pos] + linkhtml + parares[pos+len(title):]
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else :
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parares += linkhtml
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if word == '_link_' : word = ''
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elif (link < 0) :
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if word == '_link_' : word = ''
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if word == '_lb_':
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if (j-1) in self.dehyphen_rootid :
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word = ''
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sep = ''
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elif handle_links :
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word = ''
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sep = ''
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elif br_lb :
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word = '<br />\n'
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sep = ''
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else :
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word = '\n'
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sep = ''
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if j in self.dehyphen_rootid :
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word = word[0:-1]
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sep = ''
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parares += word + sep
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if len(sep) > 0 : parares = parares[0:-1]
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if (type == 'full') or (type == 'end') :
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parares += '</p>'
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return parares
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# walk the document tree collecting the information needed
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# to build an html page using the ocrText
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def process(self):
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htmlpage = ''
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# first collect information from the xml doc that describes this page
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(pos, argres) = self.findinDoc('info.word.ocrText',0,-1)
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if argres : self.ocrtext = argres.split('|')
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(pos, argres) = self.findinDoc('info.dehyphen.rootID',0,-1)
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if argres:
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argList = argres.split('|')
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self.dehyphen_rootid = [ int(strval) for strval in argList]
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(pos, self.parastems_stemid) = self.findinDoc('info.paraStems.stemID',0,-1)
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if self.parastems_stemid == None : self.parastems_stemid = []
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(pos, self.paracont_stemid) = self.findinDoc('info.paraCont.stemID',0,-1)
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if self.paracont_stemid == None : self.paracont_stemid = []
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(pos, argres) = self.findinDoc('info.word.link_id',0,-1)
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if argres:
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argList = argres.split('|')
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self.link_id = [ int(strval) for strval in argList]
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(pos, argres) = self.findinDoc('info.links.page',0,-1)
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if argres :
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argList = argres.split('|')
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self.link_page = [ int(strval) for strval in argList]
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(pos, argres) = self.findinDoc('info.links.title',0,-1)
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if argres :
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self.link_title = argres.split('|')
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else:
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self.link_title.append('')
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(pos, pagetype) = self.findinDoc('page.type',0,-1)
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# generate a list of each region starting point
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# each region has one paragraph,, or one image, or one chapterheading
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regionList= self.posinDoc('region')
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regcnt = len(regionList)
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regionList.append(-1)
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anchorSet = False
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breakSet = False
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# process each region tag and convert what you can to html
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for j in xrange(regcnt):
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start = regionList[j]
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end = regionList[j+1]
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(pos, regtype) = self.findinDoc('region.type',start,end)
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if regtype == 'graphic' :
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if not anchorSet:
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htmlpage += '<div id="' + self.id + '" class="page_' + pagetype + '"> </div>\n'
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anchorSet = True
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(pos, simgsrc) = self.findinDoc('img.src',start,end)
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if simgsrc:
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htmlpage += '<div class="graphic"><img src="img/img%04d.jpg" alt="" /></div>' % int(simgsrc)
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elif regtype == 'chapterheading' :
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(pclass, first, last) = self.getParaDescription(start,end)
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if not breakSet:
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htmlpage += '<div style="page-break-after: always;"> </div>\n'
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breakSet = True
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if not anchorSet:
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htmlpage += '<div id="' + self.id + '" class="page_' + pagetype + '"> </div>\n'
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anchorSet = True
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tag = 'h1'
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if pclass[3:7] == 'ch1-' : tag = 'h1'
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if pclass[3:7] == 'ch2-' : tag = 'h2'
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if pclass[3:7] == 'ch3-' : tag = 'h3'
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htmlpage += '<' + tag + ' class="' + pclass + '">'
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htmlpage += self.buildParagraph(pclass,first,last,'middle', regtype)
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htmlpage += '</' + tag + '>'
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elif (regtype == 'text') or (regtype == 'fixed') or (regtype == 'insert') :
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ptype = 'full'
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# check to see if this is a continution from the previous page
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if (len(self.parastems_stemid) > 0):
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ptype = 'end'
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self.parastems_stemid=[]
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else:
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if not anchorSet:
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htmlpage += '<div id="' + self.id + '" class="page_' + pagetype + '"> </div>\n'
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anchorSet = True
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(pclass, first, last) = self.getParaDescription(start,end)
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if ptype == 'full' :
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tag = 'p'
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if pclass[3:6] == 'h1-' : tag = 'h4'
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if pclass[3:6] == 'h2-' : tag = 'h5'
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if pclass[3:6] == 'h3-' : tag = 'h6'
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htmlpage += '<' + tag + ' class="' + pclass + '">'
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htmlpage += self.buildParagraph(pclass, first, last, 'middle', regtype)
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htmlpage += '</' + tag + '>'
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else :
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htmlpage += self.buildParagraph(pclass, first, last, ptype, regtype)
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elif (regtype == 'tocentry') :
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ptype = 'full'
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# check to see if this is a continution from the previous page
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if (len(self.parastems_stemid) > 0) and (j == 0):
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# process the first paragraph as a continuation from the last page
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ptype = 'end'
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self.parastems_stemid = []
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else:
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if not anchorSet:
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htmlpage += '<div id="' + self.id + '" class="page_' + pagetype + '"> </div>\n'
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anchorSet = True
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(pclass, first, last) = self.getParaDescription(start,end)
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htmlpage += self.buildParagraph(pclass, first, last, ptype, regtype)
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else :
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print 'Unknown region type', regtype
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print 'Warning: skipping this region'
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if len(self.paracont_stemid) > 0 :
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if htmlpage[-4:] == '</p>':
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htmlpage = htmlpage[0:-4]
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return htmlpage
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return self.convert2HTML()
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def convert2HTML(flatxml, fileid):
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# create a document parser
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dp = DocParser(flatxml, fileid)
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htmlpage = dp.process()
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return htmlpage
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