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
