def nlpParse(self, line, debug=0):
text = parsetree(line, relations=True, lemmata=True)
for sentence in text:
sa = sentenceAnalysisClass(sentence, debug)
st = sa.sentenceType()
if sa.debug:
print st
print 'concept is: ' + sa.concept
if st == 'questionState':
if sa.is2ndPersonalPronounPosessive('OBJ'):
# Question refers back to ccsr: how is 'your' X. Look up robbie's personal property
self.getPersonalProperty(sa)
elif st == 'confirmState':
print 'comfirm state'
elif st == 'questionDefinition':
if sa.is2ndPersonalPronounPosessive('OBJ'):
# Question refers back to ccsr: what is 'your' X. Look up robbie's personal property
self.getPersonalProperty(sa)
#statement will not remember name
elif st == 'statement':
if sa.is2ndPersonalPronounPosessive('SBJ'):
# Refers back to ccsr: 'your' X is Y
if sa.getSentenceRole(sa.concept) not in self.my_memory.concepts['I'].properties:
self.ccsrmem.concepts['I'].properties[sa.getSentenceRole(sa.concept)] = [sa.getSentenceRole(sa.concept), sa.getSentencePhrase('OBJ')]
print sa.getSentenceRole(sa.concept), sa.getSentencePhrase('OBJ')
self.response("say name " + self.randomizedResponseVariation('acknowledge'))
else:
if sa.getSentenceRole(sa.concept) == 'I':
# Statement about CCSR, do not memorize this (CCSR maintains its own state based on CCSR telemetry
# but instead react to statement
print 'ww ' + sa.getSentenceRole('ADJP')
if sa.getSentenceRole('ADJP') in self.positivePhrases:
# Saying something nice will maximize happiness and arousal
self.response("set mood 500 500 ")
self.response("say " + self.randomizedResponseVariation('gratitude'))
else:
# Saying something insulting will minimize happiness and increase arousal
self.response("set mood -300 50 ")
self.response("say " + self.randomizedResponseVariation('insulted'))
else:
if not self.my_memory.known(sa.getSentenceRole(sa.concept)):
self.my_memory.add(sa.getSentenceRole(sa.concept))
self.my_memory.concepts[sa.getSentenceRole(sa.concept)].state = sa.getSentencePhrase('ADJP')
self.response("say write name " + self.randomizedResponseVariation('acknowledge'))
# State locality: 'X is in Y'
elif st == 'stateLocality':
print 'state location'
elif st == 'command':
print 'command'
elif st == 'greeting':
self.response("say " + self.randomizedResponseVariation('hi'))
elif st == 'bye':
print 'bye'
elif st == 'adverbPhrase':
print 'adverb phrase'
else:
print"say sorry, I don't understand"
def nlpParse(self, line, debug=0):
text = parsetree(line, relations=True, lemmata=True)
for sentence in text:
sa = sentenceAnalysisClass(sentence, debug)
st = sa.sentenceType()
if sa.debug:
print st
print 'concept: ' + sa.concept
# Question state: 'how is X'
if st == 'questionState':
if sa.is2ndPersonalPronounPosessive('OBJ'):
# Question refers back to ccsr: how is 'your' X. Look up CCSR's personal property
self.getPersonalProperty(sa)
elif self.ccsrmem.known(sa.getSentenceRole(sa.concept)):
# if we know anything about the concept, we rely on CCSR memory
if self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].state == 'none':
self.response("say Sorry, I don't know how " + sa.getSentencePhrase(sa.concept) + ' ' + conjugate('be', self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].person))
else:
self.response("say " + sa.getSentencePhrase(sa.concept) + " " + conjugate('be', self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].person) + " " + self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].state)
else:
if sa.complexQuery():
# Nothing is knows about the concept, and the query is 'complex', let's ask the cloud
self.response("say let me look that up for you")
# Looking up stuff makes CCSR happy and excited
self.response("mood 50 50")
for result in self.wolframAlphaAPI(sa):
self.response("say " + result)
else:
self.response("say Sorry, I don't know " + sa.getSentencePhrase(sa.concept))
# Confirm state: 'is X Y'
elif st == 'confirmState':
if self.ccsrmem.known(sa.getSentenceRole(sa.concept)):
if(sa.getSentenceRole(sa.concept) == 'I'):
print 'somthing should go here'
if sa.getSentencePhrase('ADJP') == self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].state:
self.response("facial " + str(EXPR_NODYES)) # Nod Yes
self.response("say " + self.randomizedResponseVariation('yes'))
else:
self.response("facial " + str(EXPR_SHAKENO)) # Shake no
self.response("say " + self.randomizedResponseVariation('no'))
self.response("say " + sa.getSentencePhrase(sa.concept) + " " + conjugate('be', self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].person) + " " + self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].state)
print self.ccsrmem.concepts['I'].state
else:
self.response("say Sorry, I don't know " + sa.getSentencePhrase(sa.concept))
# Question definition: 'what/who is X'
elif st == 'questionDefinition':
if sa.is2ndPersonalPronounPosessive('OBJ'):
# Question refers back to ccsr: what is 'your' X. Look up CCSR's personal property
self.getPersonalProperty(sa)
# State: 'X is Y'
elif st == 'statement':
if sa.is2ndPersonalPronounPosessive('SBJ'):
# Refers back to ccsr: 'your' X is Y
if sa.getSentenceRole(sa.concept) not in self.ccsrmem.concepts['I'].properties:
self.ccsrmem.concepts['I'].properties[sa.getSentenceRole(sa.concept)] = [sa.getSentenceRole(sa.concept), sa.getSentencePhrase('OBJ')]
self.response("say " + self.randomizedResponseVariation('acknowledge'))
else:
if sa.getSentenceRole(sa.concept) == 'I':
# Statement about CCSR, do not memorize this (CCSR maintains its own state based on CCSR telemetry
# but instead react to statement
print 'ww ' + sa.getSentenceRole('ADJP')
if sa.getSentenceRole('ADJP') in self.positivePhrases:
# Saying something nice will maximize happiness and arousal
self.response("set mood 500 500 ")
self.response("say " + self.randomizedResponseVariation('gratitude'))
else:
# Saying something insulting will minimize happiness and increase arousal
self.response("set mood -300 50 ")
self.response("say " + self.randomizedResponseVariation('insulted'))
else:
if not self.ccsrmem.known(sa.getSentenceRole(sa.concept)):
self.ccsrmem.add(sa.getSentenceRole(sa.concept))
self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].state = sa.getSentencePhrase('ADJP')
self.response("say " + self.randomizedResponseVariation('acknowledge'))
# State locality: 'X is in Y'
elif st == 'stateLocality':
if not self.ccsrmem.known(sa.getSentenceRole(sa.concept)):
self.ccsrmem.add(sa.getSentenceRole(sa.concept))
self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].locality = sa.getSentencePhrase('PNP')
self.response("say " + self.randomizedResponseVariation('acknowledge'))
# Question locality: 'Where is X'
elif st == 'questionLocality':
if self.ccsrmem.known(sa.getSentenceRole(sa.concept)):
if self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].locality == 'none':
# Not knowing stuff makes CCSR sad and a little aroused
self.response("mood -50 20")
self.response("say Sorry, I don't know where " + sa.getSentencePhrase(sa.concept) + ' ' + conjugate('be', self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].person))
else:
# Knowing stuff makes CCSR happy and a little aroused
self.response("mood 50 20")
self.response("say " + sa.getSentencePhrase(sa.concept) + " " + conjugate('be', self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].person) + " " + self.ccsrmem.concepts[sa.getSentenceRole(sa.concept)].locality)
else:
# Not knowing stuff makes CCSR sad and a little aroused
self.response("mood -50 20")
self.response("say Sorry, I don't know " + sa.getSentencePhrase(sa.concept))
# Command
elif st == 'command':
if self.cap.capable(sa.getSentenceHead('VP')):
# Command is a prefixed CCSR command to be given through telemetry
self.response("facial " + str(EXPR_NODYES)) # Nod Yes
self.response("say " + self.randomizedResponseVariation('yes') + " I can")
for cmd in self.cap.constructCmd(sa):
self.response(cmd)
elif sa.getSentenceHead('VP') == 'tell':
# This is a request to tell something about a topic
if len(sa.s.pnp) > 0:
# We have a prepositional phrase: 'tell me about X'
concept = sa.reflectObject(sa.s.pnp[0].head.string)
if self.ccsrmem.known(concept):
if len(self.ccsrmem.concepts[concept].properties) > 0:
for p in self.ccsrmem.concepts[concept].properties:
self.response("say " + self.ccsrmem.posessivePronouns[self.ccsrmem.concepts[concept].person] + " " + self.ccsrmem.concepts[concept].properties[p][0] + " is " + self.ccsrmem.concepts[concept].properties[p][1])
else:
self.response("say sorry, I can't tell you much about " + sa.reflectObject(sa.s.pnp[0].head.string))
else:
self.response("say let me look that up for you")
self.response("say " + self.wolframAlphaAPI(sa))
else:
# Not knowing stuff makes CCSR sad and a little aroused
self.response("mood -50 20")
self.response("facial " + str(EXPR_SHAKENO))
self.response("say " + self.randomizedResponseVariation('no'))
self.response("say I'm afraid I can't do that. I don't know how to " + sa.getSentenceHead('VP'))
# State locality: 'X is in Y'
elif st == 'greeting':
self.response("say " + self.randomizedResponseVariation('hi'))
elif st == 'bye':
self.response("say " + self.randomizedResponseVariation('bye'))
# Turn away and start autonomously exploring
self.response("turn 1 100000")
self.response("set state 7")
elif st == 'gratitude':
self.response("say " + self.randomizedResponseVariation('gratitudeReply'))
elif st == 'adverbPhrase':
if sa.getSentenceHead('ADJP') == 'further':
for cmd in self.cap.lastCmd:
self.response(cmd)
else:
self.response("say sorry, I don't understand")
self.cap.lastCmd = self.cap.constructCmd(sa)
self.response("listen")
def nlpParse(self, line, debug=0):
text = parsetree(line, relations=True, lemmata=True)
for sentence in text:
sa = sentenceAnalysisClass(sentence, debug)
st = sa.sentenceType()
if sa.debug:
print st
print 'concept is: ' + sa.concept
if st == 'questionState':
if sa.is2ndPersonalPronounPosessive('OBJ'):
# Question refers back to ccsr: how is 'your' X. Look up robbie's personal property
self.getPersonalProperty(sa)
elif st == 'confirmState':
print 'comfirm state'
elif st == 'questionDefinition':
if sa.is2ndPersonalPronounPosessive('OBJ'):
# Question refers back to ccsr: what is 'your' X. Look up robbie's personal property
self.getPersonalProperty(sa)
#statement will not remember name
elif st == 'statement':
if sa.is2ndPersonalPronounPosessive('SBJ'):
# Refers back to ccsr: 'your' X is Y
if sa.getSentenceRole(
sa.concept
) not in self.my_memory.concepts['I'].properties:
self.ccsrmem.concepts['I'].properties[sa.getSentenceRole(
sa.concept)] = [
sa.getSentenceRole(sa.concept),
sa.getSentencePhrase('OBJ')
]
print sa.getSentenceRole(
sa.concept), sa.getSentencePhrase('OBJ')
self.response("say name " +
self.randomizedResponseVariation('acknowledge'))
else:
if sa.getSentenceRole(sa.concept) == 'I':
# Statement about CCSR, do not memorize this (CCSR maintains its own state based on CCSR telemetry
# but instead react to statement
print 'ww ' + sa.getSentenceRole('ADJP')
if sa.getSentenceRole('ADJP') in self.positivePhrases:
# Saying something nice will maximize happiness and arousal
self.response("set mood 500 500 ")
self.response(
"say " +
self.randomizedResponseVariation('gratitude'))
else:
# Saying something insulting will minimize happiness and increase arousal
self.response("set mood -300 50 ")
self.response(
"say " +
self.randomizedResponseVariation('insulted'))
else:
if not self.my_memory.known(sa.getSentenceRole(
sa.concept)):
self.my_memory.add(sa.getSentenceRole(sa.concept))
self.my_memory.concepts[sa.getSentenceRole(
sa.concept)].state = sa.getSentencePhrase('ADJP')
self.response(
"say write name " +
self.randomizedResponseVariation('acknowledge'))
# State locality: 'X is in Y'
elif st == 'stateLocality':
print 'state location'
elif st == 'command':
print 'command'
elif st == 'greeting':
self.response("say " + self.randomizedResponseVariation('hi'))
elif st == 'bye':
print 'bye'
elif st == 'adverbPhrase':
print 'adverb phrase'
else:
print "say sorry, I don't understand"
def nlpParse(self, line, debug=0):
text = parsetree(line, relations=True, lemmata=True)
for sentence in text:
sa = sentenceAnalysisClass(sentence, debug)
st = sa.sentenceType()
if sa.debug:
print st
print 'concept: ' + sa.concept
# Question state: 'how is X'
if st == 'questionState':
if sa.is2ndPersonalPronounPosessive('OBJ'):
# Question refers back to ccsr: how is 'your' X. Look up CCSR's personal property
self.getPersonalProperty(sa)
elif self.ccsrmem.known(sa.getSentenceRole(sa.concept)):
# if we know anything about the concept, we rely on CCSR memory
if self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].state == 'none':
self.response(
"say Sorry, I don't know how " +
sa.getSentencePhrase(sa.concept) + ' ' + conjugate(
'be', self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].person))
else:
self.response(
"say " + sa.getSentencePhrase(sa.concept) + " " +
conjugate(
'be', self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].person) + " " +
self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].state)
else:
if sa.complexQuery():
# Nothing is knows about the concept, and the query is 'complex', let's ask the cloud
self.response("say let me look that up for you")
# Looking up stuff makes CCSR happy and excited
self.response("mood 50 50")
for result in self.wolframAlphaAPI(sa):
self.response("say " + result)
else:
self.response("say Sorry, I don't know " +
sa.getSentencePhrase(sa.concept))
# Confirm state: 'is X Y'
elif st == 'confirmState':
if self.ccsrmem.known(sa.getSentenceRole(sa.concept)):
if (sa.getSentenceRole(sa.concept) == 'I'):
print 'somthing should go here'
if sa.getSentencePhrase('ADJP') == self.ccsrmem.concepts[
sa.getSentenceRole(sa.concept)].state:
self.response("facial " + str(EXPR_NODYES)) # Nod Yes
self.response("say " +
self.randomizedResponseVariation('yes'))
else:
self.response("facial " +
str(EXPR_SHAKENO)) # Shake no
self.response("say " +
self.randomizedResponseVariation('no'))
self.response(
"say " + sa.getSentencePhrase(sa.concept) + " " +
conjugate(
'be', self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].person) + " " +
self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].state)
print self.ccsrmem.concepts['I'].state
else:
self.response("say Sorry, I don't know " +
sa.getSentencePhrase(sa.concept))
# Question definition: 'what/who is X'
elif st == 'questionDefinition':
if sa.is2ndPersonalPronounPosessive('OBJ'):
# Question refers back to ccsr: what is 'your' X. Look up CCSR's personal property
self.getPersonalProperty(sa)
# State: 'X is Y'
elif st == 'statement':
if sa.is2ndPersonalPronounPosessive('SBJ'):
# Refers back to ccsr: 'your' X is Y
if sa.getSentenceRole(
sa.concept
) not in self.ccsrmem.concepts['I'].properties:
self.ccsrmem.concepts['I'].properties[
sa.getSentenceRole(sa.concept)] = [
sa.getSentenceRole(sa.concept),
sa.getSentencePhrase('OBJ')
]
self.response(
"say " +
self.randomizedResponseVariation('acknowledge'))
else:
if sa.getSentenceRole(sa.concept) == 'I':
# Statement about CCSR, do not memorize this (CCSR maintains its own state based on CCSR telemetry
# but instead react to statement
print 'ww ' + sa.getSentenceRole('ADJP')
if sa.getSentenceRole('ADJP') in self.positivePhrases:
# Saying something nice will maximize happiness and arousal
self.response("set mood 500 500 ")
self.response(
"say " +
self.randomizedResponseVariation('gratitude'))
else:
# Saying something insulting will minimize happiness and increase arousal
self.response("set mood -300 50 ")
self.response(
"say " +
self.randomizedResponseVariation('insulted'))
else:
if not self.ccsrmem.known(
sa.getSentenceRole(sa.concept)):
self.ccsrmem.add(sa.getSentenceRole(sa.concept))
self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].state = sa.getSentencePhrase('ADJP')
self.response(
"say " +
self.randomizedResponseVariation('acknowledge'))
# State locality: 'X is in Y'
elif st == 'stateLocality':
if not self.ccsrmem.known(sa.getSentenceRole(sa.concept)):
self.ccsrmem.add(sa.getSentenceRole(sa.concept))
self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].locality = sa.getSentencePhrase('PNP')
self.response("say " +
self.randomizedResponseVariation('acknowledge'))
# Question locality: 'Where is X'
elif st == 'questionLocality':
if self.ccsrmem.known(sa.getSentenceRole(sa.concept)):
if self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].locality == 'none':
# Not knowing stuff makes CCSR sad and a little aroused
self.response("mood -50 20")
self.response(
"say Sorry, I don't know where " +
sa.getSentencePhrase(sa.concept) + ' ' + conjugate(
'be', self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].person))
else:
# Knowing stuff makes CCSR happy and a little aroused
self.response("mood 50 20")
self.response(
"say " + sa.getSentencePhrase(sa.concept) + " " +
conjugate(
'be', self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].person) + " " +
self.ccsrmem.concepts[sa.getSentenceRole(
sa.concept)].locality)
else:
# Not knowing stuff makes CCSR sad and a little aroused
self.response("mood -50 20")
self.response("say Sorry, I don't know " +
sa.getSentencePhrase(sa.concept))
# Command
elif st == 'command':
if self.cap.capable(sa.getSentenceHead('VP')):
# Command is a prefixed CCSR command to be given through telemetry
self.response("facial " + str(EXPR_NODYES)) # Nod Yes
self.response("say " +
self.randomizedResponseVariation('yes') +
" I can")
for cmd in self.cap.constructCmd(sa):
self.response(cmd)
elif sa.getSentenceHead('VP') == 'tell':
# This is a request to tell something about a topic
if len(sa.s.pnp) > 0:
# We have a prepositional phrase: 'tell me about X'
concept = sa.reflectObject(sa.s.pnp[0].head.string)
if self.ccsrmem.known(concept):
if len(self.ccsrmem.concepts[concept].properties
) > 0:
for p in self.ccsrmem.concepts[
concept].properties:
self.response(
"say " +
self.ccsrmem.posessivePronouns[
self.ccsrmem.concepts[concept].
person] + " " + self.ccsrmem.
concepts[concept].properties[p][0] +
" is " + self.ccsrmem.
concepts[concept].properties[p][1])
else:
self.response(
"say sorry, I can't tell you much about " +
sa.reflectObject(sa.s.pnp[0].head.string))
else:
self.response("say let me look that up for you")
self.response("say " + self.wolframAlphaAPI(sa))
else:
# Not knowing stuff makes CCSR sad and a little aroused
self.response("mood -50 20")
self.response("facial " + str(EXPR_SHAKENO))
self.response("say " +
self.randomizedResponseVariation('no'))
self.response(
"say I'm afraid I can't do that. I don't know how to "
+ sa.getSentenceHead('VP'))
# State locality: 'X is in Y'
elif st == 'greeting':
self.response("say " + self.randomizedResponseVariation('hi'))
elif st == 'bye':
self.response("say " + self.randomizedResponseVariation('bye'))
# Turn away and start autonomously exploring
self.response("turn 1 100000")
self.response("set state 7")
elif st == 'gratitude':
self.response(
"say " +
self.randomizedResponseVariation('gratitudeReply'))
elif st == 'adverbPhrase':
if sa.getSentenceHead('ADJP') == 'further':
for cmd in self.cap.lastCmd:
self.response(cmd)
else:
self.response("say sorry, I don't understand")
self.cap.lastCmd = self.cap.constructCmd(sa)
self.response("listen")
