def buildIndex(self, name):
indexer = Indexer(name)
documentsFileNames = os.listdir(documentsPath)
for docId, documentFileName in enumerate(documentsFileNames):
with open(documentsPath + '/' + documentFileName,
'r+') as fileHandler:
content = fileHandler.read()
tokens = tokenProcessor.preprocess(nltk.word_tokenize(content))
for token in tokens:
indexer.add_word_to_document(token, docId + 1)
print(indexer)
indexer.save_indexer_to_disk()
