def getTopDerivation(sentence, languageProcessor, grammar):
# Return (action, formula)
# - action is either |tell| or |ask|
# - formula is a logical form
print
print '>>>', sentence
utterance = nlparser.Utterance(sentence, languageProcessor)
print 'Utterance:', utterance
derivations = nlparser.parseUtterance(utterance, grammar, verbose=0)
if not derivations:
raise Exception('Error: Parsing failed. (0 derivations)')
return derivations[0].form
def process(self, line):
line = line.strip()
if line.startswith('#') or line == '': return
utterance = nlparser.Utterance(line, self.processor)
if self.verbose >= 1: print(('Shallow analysis:', utterance))
# Handle special commands
if utterance.tokens[0] == 'help':
print("Commands:")
print(" help: print this message")
print(" verbose <int>: set verbosity level")
print(" forget: clear the knowledge base")
print(" dump: display contents of knowledge base")
print(" <any natural language utterance>")
return
if utterance.tokens[0] == 'verbose':
self.verbose = int(utterance.tokens[1])
return
if utterance.tokens[0] == 'forget':
print("Starting from a blank slate.")
self.initKB()
return
if utterance.tokens[0] == 'dump':
self.kb.dump()
return
# Semantic parsing
derivations = nlparser.parseUtterance(utterance,
self.rules,
verbose=self.verbose)
if len(derivations) == 0:
print("Sorry, I could not parse that.")
return
deriv = derivations[0]
mode, form = deriv.form
if self.verbose >= 1:
print(('Parsed logical formula: %s[%s]' % (mode, form)))
# Query the knowledge base
self.kb.verbose = opts.verbose
if mode == 'ask': response = self.kb.ask(form)
if mode == 'tell': response = self.kb.tell(form)
print()
logic.showKBResponse(response, self.verbose)