#! /usr/bin/python # vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab # For use with Topaz Scripts Version 1.8 from __future__ import with_statement import csv import sys import os import math import getopt from struct import pack from struct import unpack class DocParser(object): def __init__(self, flatxml, classlst, fileid, bookDir): self.id = os.path.basename(fileid).replace('.dat','') self.svgcount = 0 self.docList = flatxml.split('\n') self.docSize = len(self.docList) self.classList = {} self.bookDir = bookDir self.glyphPaths = { } self.numPaths = 0 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 = [] def getGlyph(self, gid): result = '' id='gl%d' % gid return self.glyphPaths[id] def glyphs_to_image(self, glyphList): def extract(path, key): b = path.find(key) + len(key) e = path.find(' ',b) return int(path[b:e]) def extractID(path, key): b = path.find(key) + len(key) e = path.find('"',b) return path[b:e] svgDir = os.path.join(self.bookDir,'svg') glyfile = os.path.join(svgDir,'glyphs.svg') imgDir = os.path.join(self.bookDir,'img') imgname = self.id + '_%04d.svg' % self.svgcount imgfile = os.path.join(imgDir,imgname) # build hash table of glyph paths keyed by glyph id if self.numPaths == 0: gfile = open(glyfile, 'r') while True: path = gfile.readline() if (path == ''): break glyphid = extractID(path,'id="') self.glyphPaths[glyphid] = path self.numPaths += 1 gfile.close() # get glyph information gxList = self.getData('info.glyph.x',0,-1) gyList = self.getData('info.glyph.y',0,-1) gidList = self.getData('info.glyph.glyphID',0,-1) gids = [] maxws = [] maxhs = [] xs = [] ys = [] gdefs = [] # get path defintions, positions, dimensions for ecah glyph # that makes up the image, and find min x and min y to reposition origin minx = -1 miny = -1 for j in glyphList: gid = gidList[j] gids.append(gid) xs.append(gxList[j]) if minx == -1: minx = gxList[j] else : minx = min(minx, gxList[j]) ys.append(gyList[j]) if miny == -1: miny = gyList[j] else : miny = min(miny, gyList[j]) path = self.getGlyph(gid) gdefs.append(path) maxws.append(extract(path,'width=')) maxhs.append(extract(path,'height=')) # change the origin to minx, miny and calc max height and width maxw = maxws[0] + xs[0] - minx maxh = maxhs[0] + ys[0] - miny for j in xrange(0, len(xs)): xs[j] = xs[j] - minx ys[j] = ys[j] - miny maxw = max( maxw, (maxws[j] + xs[j]) ) maxh = max( maxh, (maxhs[j] + ys[j]) ) # open the image file for output ifile = open(imgfile,'w') ifile.write('\n') ifile.write('\n') ifile.write('\n' % (math.floor(maxw/10), math.floor(maxh/10), maxw, maxh)) ifile.write('\n') for j in xrange(0,len(gdefs)): ifile.write(gdefs[j]) ifile.write('\n') for j in xrange(0,len(gids)): ifile.write('\n' % (gids[j], xs[j], ys[j])) ifile.write('') ifile.close() return 0 # return tag at line pos in document def lineinDoc(self, pos) : if (pos >= 0) and (pos < self.docSize) : item = self.docList[pos] if item.find('=') >= 0: (name, argres) = item.split('=',1) else : name = item argres = '' return name, argres # find tag in doc if within pos to end inclusive def findinDoc(self, tagpath, pos, end) : result = None if end == -1 : end = self.docSize else: end = min(self.docSize, end) foundat = -1 for j in xrange(pos, end): item = self.docList[j] if item.find('=') >= 0: (name, argres) = item.split('=',1) 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 # returns a vector of integers for the tagpath def getData(self, tagpath, pos, end): argres=[] (foundat, argt) = self.findinDoc(tagpath, pos, end) if (argt != None) and (len(argt) > 0) : argList = argt.split('|') argres = [ int(strval) for strval in argList] return argres # build a description of the paragraph def getParaDescription(self, start, end): result = [] # 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 classeses that inherit # from a base class (but then not actually provide all of these _reclustereed # classes in the stylesheet! # so we clean this up by lowercasing, prepend 'cl-', and getting any baseclass # that exists in the stylesheet first, and then adding this specific class # after if pclass != None : classres = '' pclass = pclass.lower() pclass = 'cl-' + pclass p = pclass.find('_') if p > 0 : baseclass = pclass[0:p] if baseclass in self.classList: classres += baseclass + ' ' classres += pclass pclass = classres # 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 # and now a new type "span" versus the old "_span" # plus glyphs used to form starting letter of first word # need to parse this type line by line line = start + 1 word_class = '' # if end is -1 then we must search to end of document if end == -1 : end = self.docSize 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.firstGlyph') : first = int(argres) (name, argres) = self.lineinDoc(line+1) if not name.endswith('word.lastGlyph'): print 'Error: - incorrect glyph ordering inside word in paragraph' last = int(argres) glyphList = [] for glyphnum in xrange(first, last): glyphList.append(glyphnum) num = self.svgcount self.glyphs_to_image(glyphList) self.svgcount += 1 result.append(('svg', num)) line += 1 elif name.endswith('word.class'): (cname, space) = argres.split('-',1) if space == '' : space = '0' if (cname == 'spaceafter') and (int(space) > 0) : 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, pclass, pdesc, type, regtype) : parares = '' sep ='' classres = '' if pclass : classres = ' class="' + pclass + '"' br_lb = (regtype == 'fixed') or (regtype == 'chapterheading') or (regtype == 'vertical') handle_links = len(self.link_id) > 0 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 == "") or (parares.rfind(title) < 0): 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 ) or 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 elif wtype == 'svg' : 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 = '' # get the ocr text (pos, argres) = self.findinDoc('info.word.ocrText',0,-1) if argres : self.ocrtext = argres.split('|') # get information to dehyphenate the text self.dehyphen_rootid = self.getData('info.dehyphen.rootID',0,-1) # determine if first paragraph is continued from previous page (pos, self.parastems_stemid) = self.findinDoc('info.paraStems.stemID',0,-1) first_para_continued = (self.parastems_stemid != None) # determine if last paragraph is continued onto the next page (pos, self.paracont_stemid) = self.findinDoc('info.paraCont.stemID',0,-1) last_para_continued = (self.paracont_stemid != None) # collect link ids self.link_id = self.getData('info.word.link_id',0,-1) # collect link destination page numbers self.link_page = self.getData('info.links.page',0,-1) # collect link titles (pos, argres) = self.findinDoc('info.links.title',0,-1) if argres : self.link_title = argres.split('|') else: self.link_title.append('') # get page type (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) # set anchor for link target on this page if not anchorSet and not first_para_continued: htmlpage += '\n' anchorSet = True if regtype == 'graphic' : (pos, simgsrc) = self.findinDoc('img.src',start,end) if simgsrc: htmlpage += '
' % int(simgsrc) elif regtype == 'chapterheading' : (pclass, pdesc) = self.getParaDescription(start,end) if not breakSet: htmlpage += '
 
\n' breakSet = True tag = 'h1' if pclass and (len(pclass) >= 7): 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 + '">' else: htmlpage += '<' + tag + '>' htmlpage += self.buildParagraph(pclass, pdesc, 'middle', regtype) htmlpage += '' elif (regtype == 'text') or (regtype == 'fixed') or (regtype == 'insert') or (regtype == 'listitem'): ptype = 'full' # check to see if this is a continution from the previous page if first_para_continued : ptype = 'end' first_para_continued = False (pclass, pdesc) = self.getParaDescription(start,end) if pclass and (len(pclass) >= 6) and (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' if first_para_continued : ptype = 'end' first_para_continued = False (pclass, pdesc) = self.getParaDescription(start,end) htmlpage += self.buildParagraph(pclass, pdesc, ptype, regtype) elif (regtype == 'vertical') : ptype = 'full' if first_para_continued : ptype = 'end' first_para_continued = False (pclass, pdesc) = self.getParaDescription(start,end) htmlpage += self.buildParagraph(pclass, pdesc, ptype, regtype) elif (regtype == 'table') : # translate first and last word into first and last glyphs # and generate table as an image and include a link to it glyphList = [] (pos, sfirst) = self.findinDoc('paragraph.firstWord',start,end) (pos, slast) = self.findinDoc('paragraph.lastWord',start,end) firstglyphList = self.getData('word.firstGlyph',0,-1) gidList = self.getData('info.glyph.glyphID',0,-1) if (sfirst != None) and (slast != None) : first = int(sfirst) last = int(slast) firstGlyph = firstglyphList[first] if last < len(firstglyphList): lastGlyph = firstglyphList[last] else : lastGlyph = len(gidList) for glyphnum in xrange(firstGlyph, lastGlyph): glyphList.append(glyphnum) num = self.svgcount self.glyphs_to_image(glyphList) self.svgcount += 1 htmlpage += '
' % num else : ptype = 'full' if first_para_continued : ptype = 'end' first_para_continued = False (pclass, pdesc) = self.getParaDescription(start,end) htmlpage += self.buildParagraph(pclass, pdesc, ptype, regtype) print " " print "Warning: - Table Conversions are notoriously poor" print " Strongly recommend taking a screen capture image of the " print " table in %s.svg and using it to replace this attempt at a table" % self.id print " " elif (regtype == 'synth_fcvr.center') or (regtype == 'synth_text.center'): (pos, simgsrc) = self.findinDoc('img.src',start,end) if simgsrc: htmlpage += '
' % int(simgsrc) else : print 'Warning: region type', regtype (pos, temp) = self.findinDoc('paragraph',start,end) if pos != -1: print ' is a "text" region' regtype = 'fixed' ptype = 'full' # check to see if this is a continution from the previous page if first_para_continued : ptype = 'end' first_para_continued = False (pclass, pdesc) = self.getParaDescription(start,end) if pclass and (ptype == 'full') and (len(pclass) >= 6): 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) else : print ' is a "graphic" region' (pos, simgsrc) = self.findinDoc('img.src',start,end) if simgsrc: htmlpage += '
' % int(simgsrc) if last_para_continued : if htmlpage[-4:] == '

': htmlpage = htmlpage[0:-4] last_para_continued = False return htmlpage def convert2HTML(flatxml, classlst, fileid, bookDir): # create a document parser dp = DocParser(flatxml, classlst, fileid, bookDir) htmlpage = dp.process() return htmlpage