def match_sentence(self, bot, clientid, pattern_sentence, topic_pattern, that_pattern): topic_sentence = Sentence(topic_pattern) that_sentence = Sentence(that_pattern) logging.debug("AIML Parser matching sentence [%s], topic=[%s], that=[%s] ", pattern_sentence.text(), topic_pattern, that_pattern) sentence = Sentence() sentence.append_sentence(pattern_sentence) sentence.append_word('__TOPIC__') sentence.append_sentence(topic_sentence) sentence.append_word('__THAT__') sentence.append_sentence(that_sentence) logging.debug("Matching [%s]"%sentence.words_from_current_pos(0)) context = MatchContext() template = self.pattern_parser._root_node.match(bot, clientid, context, sentence) if template is not None: context._template_node = template context.list_matches() # Save the matched context for the associated sentence pattern_sentence.matched_context = context return context return None
def match_sentence(self, bot, clientid, pattern_sentence, topic_pattern, that_pattern): topic_sentence = Sentence(topic_pattern) that_sentence = Sentence(that_pattern) logging.debug( "AIML Parser matching sentence [%s], topic=[%s], that=[%s] ", pattern_sentence.text(), topic_pattern, that_pattern) sentence = Sentence() sentence.append_sentence(pattern_sentence) sentence.append_word('__TOPIC__') sentence.append_sentence(topic_sentence) sentence.append_word('__THAT__') sentence.append_sentence(that_sentence) logging.debug("Matching [%s]" % sentence.words_from_current_pos(0)) context = MatchContext() template = self.pattern_parser._root_node.match( bot, clientid, context, sentence) if template is not None: context._template_node = template context.list_matches() # Save the matched context for the associated sentence pattern_sentence.matched_context = context return context return None
def match_sentence(self, bot, clientid, pattern_sentence, topic_pattern, that_pattern): topic_sentence = Sentence(topic_pattern) that_sentence = Sentence(that_pattern) if logging.getLogger().isEnabledFor(logging.DEBUG): logging.debug("AIML Parser matching sentence [%s], topic=[%s], that=[%s] ", pattern_sentence.text(), topic_pattern, that_pattern) sentence = Sentence() sentence.append_sentence(pattern_sentence) sentence.append_word('__TOPIC__') sentence.append_sentence(topic_sentence) sentence.append_word('__THAT__') sentence.append_sentence(that_sentence) if logging.getLogger().isEnabledFor(logging.DEBUG): logging.debug("Matching [%s]", sentence.words_from_current_pos(0)) context = MatchContext(max_search_depth=bot.configuration.max_search_depth, max_search_timeout=bot.configuration.max_search_timeout) template = self.pattern_parser._root_node.match(bot, clientid, context, sentence) if template is not None: context._template_node = template context.list_matches() # Save the matched context for the associated sentence pattern_sentence.matched_context = context return context return None