code: def buildIndex(ipFile, ndxFile, append='Y', silent='N', useShortFileName='Y'):
      
      if silent == 'N':
          pass
      if append == 'N':
          try:
              os.remove(ndxFile)
          except Exception as ex:
              print('file already deleted - ignore' + str(ex))
              
      delims = [',', chr(31), '', '$', '&', '"', '%', '/', '\\', '.', ';', ':', '!', '?', '-', '_', ' ', '\n', '*', '\'', '(', ')', '[', ']', '{', '}']
      # 1st pass - index the ontologies, including 2 depths up (later - TODO)
      #buildIndex(ipFile, ndxFile, ' ', 1, 'Y')
  
      # 2nd pass - use ALL delims to catch each word as part of hyphenated - eg AI Build py
      totWords, totLines, uniqueWords = getWordList(ipFile, delims)
      
      AppendIndexDictionaryToFile(uniqueWords, ndxFile, ipFile, useShortFileName)
      if silent == 'N':
          print(format_op_row(ipFile, totLines, totWords, uniqueWords))
     
          show('uniqueWords', uniqueWords, 5)
      DisplayIndexAsDictionary(uniqueWords)
docs: this creates an index of a text file specifically for use in AIKIF
      separates the ontology descriptions highest followed by values and lastly
      a final pass to get all delimited word parts.