def __call__(self, message, user):
try:
if self.__exists_admin_command(message, user):
return message
w_toks = WordFormatter.MsgDict2WToks(message.message_dicts)
message.original_df = OriginalDFGenerator.create_original_df_by_w_toks(
w_toks)
message_normalizer = MessageNormalizer()
message.text_df = message_normalizer(message.message_dicts,
user.sender_id)
intent_checker = IntentChecker()
message.intent_list = intent_checker(message.text_df)
text_kw_df_generator = TextKwDFGenerator()
message.text_kw_df = text_kw_df_generator(message.text_kw_df)
sentiment_score_df_generator = SentimentScoreDFGenerator()
message.sentiment_score_df = sentiment_score_df_generator(
message.text_df, message.text_kw_df)
return message
except:
logging.exception('')
return message
def __call__(self, message_dicts: List[Dict[str, str]], sender_id, from_preprocessor=True):
try:
if from_preprocessor:
message_dicts = self.__convert_attachment(message_dicts)
message_dicts = self.__normalize_apostrophe(message_dicts)
w_toks = WordFormatter.MsgDict2WToks(message_dicts)
else:
w_toks = message_dicts
print('\nword_tokenized\n', w_toks)
normalized_w_toks = self.normalize_message_by_w_toks(w_toks)
send_typing_on(sender_id)
# make original_df with sidx, widx, word, pos tag
df = OriginalDFGenerator.create_original_df_by_w_toks(normalized_w_toks)
df = self.normalize_message_by_df(df)
return df
except:
logging.exception('')
return None
