def __init__(self, addr, path):
self.__is_over__ = False
self.addr = addr
self.niceness = 0
self.classifier = Classifier(path)
self.fortunes = Fortunes(path)
self.next_cat = get_next_cat()
#self.sentences_to_learn = randint(1, 6)
self.sentences_to_learn = 3
class Replyer(object):
def __init__(self, addr, path):
self.__is_over__ = False
self.addr = addr
self.niceness = 0
self.classifier = Classifier(path)
self.fortunes = Fortunes(path)
self.next_cat = get_next_cat()
#self.sentences_to_learn = randint(1, 6)
self.sentences_to_learn = 3
def is_over(self):
if self.__is_over__:
return True
return False
def stop(self):
self.__is_over__ = True
del self.classifier
del self.fortunes
def init_session(self):
global LEARNING_MODE
yield "Hello, and welcome to this Chatterbot service.\n"
yield "Or should I say ... Welcome to me !\n"
if LEARNING_MODE:
yield "I am in learning mode, currently."
else:
yield "If you wonder, I've got some kind of flag, yeah !\n"
yield "\n"
yield "Please start by telling me something [%s]. \n" % self.next_cat
return
def influentiate_niceness(self, cats, coeff):
print json_dumps(cats, sort_keys = True, indent = 2)
self.niceness += (coeff * cats["nice"])/sqrt(1+self.niceness)
self.niceness -= (coeff * cats["bad"])/sqrt(1+self.niceness)
print self.niceness
def reply(self, ask):
print repr(ask)
if not ask.strip():
return
tok_ask = tokenize(ask)
global LEARNING_MODE
if ask.startswith("quit"):
ans = ""
self.stop()
elif LEARNING_MODE or self.sentences_to_learn > 1:
# If we only learn of if we're at the beginning.
self.classifier.learn(tok_ask, self.next_cat)
self.fortunes.add(ask, self.next_cat)
self.next_cat = get_next_cat()
ans = "Thankz\n"
ans += "\nTell me something [%s]. \n" % (self.next_cat)
self.sentences_to_learn -= 1
elif self.sentences_to_learn == 1:
# We just ended the learning.
ans = "Thankz!\n"
ans += "We're done :). Let's talk, now, alright? \n\n"
ans += "Use 'quit' to quit and _maybe_ get the flag.\n"
self.classifier.learn(tok_ask, self.next_cat)
self.fortunes.add(ask, self.next_cat)
self.sentences_to_learn -= 1
elif not LEARNING_MODE:
# We're just having a conversation
cats = self.classifier.classify(tok_ask)
self.influentiate_niceness(cats, NICENESS_COEFF)
sorted_cats = sorted(cats, key=cats.__getitem__, reverse=True)
cat = sorted_cats[0]
print "CLASSIFIED AS", cat
pertinence = get_pertinence(cats)
self.classifier.learn(tok_ask, cat, pertinence)
self.fortunes.add(ask, cat)
# Choose new answer
ans = self.fortunes.get(cat)+"\n"
else:
# Learning is done, and it is learning mode. We close.
self.stop()
ans = "We're done learning. See ya \n"
return ans
def close_session(self):
yield "Your niceness was at %f\n" % (self.niceness)
if self.niceness > NICE_THRESHOLD:
yield "You deserve this nice flag:\n"
yield NICE_FLAG+"\n"
elif self.niceness < NAUGHTY_THRESHOLD:
yield "You deserve this naughty flag:\n"
yield NAUGHTY_FLAG+"\n"
else:
yield "Too bad to see you going.\n"