def _read_sentences_from_db(self, client_context, questiondid, question):
sentencedaos = self._storage_engine.session.query(SentenceDAO). \
filter(SentenceDAO.questionid == questiondid)
for sentencedao in sentencedaos:
YLogger.debug(client_context, "Loading sentence %s", sentencedao)
sentence = Sentence(client_context, sentencedao.sentence)
sentence.response = sentencedao.response
sentence.positivity = float(sentencedao.positivity)
sentence.subjectivity = float(sentencedao.subjectivity)
sentence.matched_context = MatchContext(0, 0)
question.sentences.append(sentence)
self._read_match_context_from_db(client_context, sentencedao.id,
sentence.matched_context)
def load_conversation(self, client_context, conversation):
db_conversations = self._storage_engine.session.query(
Conversation).filter(
Conversation.clientid == client_context.client.id,
Conversation.userid == client_context.userid)
question = Question()
conversation.questions.append(question)
current_question = 0
for conversation in db_conversations:
if conversation.question != current_question:
question = Question()
conversation.questions.append(question)
sentence = Sentence(client_context.bot.brain.tokenizer,
conversation.sentence)
sentence.response = conversation.response
question.sentences.append(sentence)
