def __init__(self, speaker=None, demo=False):
Thread.__init__(self)
self.go_on = True
self._logger = logging.getLogger('dialogs')
self._demo_mode = demo
if speaker:
self._speaker = speaker
else:
self._speaker = SpeakerIdentifier().get_current_speaker_id()
self._parser = Parser()
self._resolver = Resolver()
self._content_analyser = ContentAnalyser()
self._verbalizer = Verbalizer()
self._nl_input_queue = Queue()
self._sentence_output_queue = Queue()
#true when the Dialog module is within an interaction with a speaker
self.in_interaction = False
#the current set of sentences that dialog is dealing with
self.sentences = deque()
#the current sentence being worked on. Specifically, if active_sentence
#is set, the parser will _complete_ this sentence instead of creating a
#new one.
self.active_sentence = None
#true when, during an interaction, more infos is needed.
self.waiting_for_more_info = False
#contains the last result of a failed resolution (including the object
#that could not be resolved. Cf doc of UnsufficientInputError for details.
self._last_output = None
#contains the last result of a failed resolution of an anaphoric words (it, one) (including the object
#that could not be resolved. Cf doc of UnidentifiedAnaphoraError for details.
self._anaphora_input = None
#the ID of the speaker we are talking with. used to resolve references
#like 'me', 'you', etc.
self.current_speaker = None
#the set of the statements generated by the analysis of the last sentence.
# For testing purposes.
self.last_stmts_set = []
#last utterance outputed to user. This is a tuple containing both the
# Sentence object and the verbalized version.
self.last_sentence = (None, None)
def setUp(self):
ResourcePool().ontology_server.reset()
ResourcePool().ontology_server.add(['SPEAKER rdf:type Human', 'SPEAKER rdfs:label "Patrick"',
'blue_cube rdf:type Cube',
'blue_cube hasColor blue',
'blue_cube isOn table1',
'another_cube rdf:type Cube',
'another_cube isAt shelf1',
'another_cube belongsTo SPEAKER',
'another_cube hasSize small',
'shelf1 rdf:type Shelf',
'table1 rdf:type Table',
'myself sees shelf1',
'take_blue_cube performedBy myself',
'take_blue_cube rdf:type Get',
'take_blue_cube actsOnObject blue_cube',
'take_my_cube canBePerformedBy SPEAKER',
'take_my_cube involves another_cube',
'take_my_cube rdf:type Take',
'SPEAKER focusesOn another_cube',
'id_danny rdfs:label "Danny"',
'give_another_cube rdf:type Give',
'give_another_cube performedBy id_danny',
'give_another_cube receivedBy SPEAKER',
'give_another_cube actsOnObject another_cube',
'id_danny sees SPEAKER',
])
ResourcePool().ontology_server.addForAgent(ResourcePool().get_model_mapping('SPEAKER'),
[ 'SPEAKER rdf:type Human',
'SPEAKER rdfs:label "Patrick"',
'blue_cube rdf:type Cube',
'blue_cube hasColor blue',
'blue_cube isOn table1',
'another_cube rdf:type Cube',
'another_cube isAt shelf1',
'another_cube belongsTo SPEAKER',
'another_cube hasSize small',
'shelf1 rdf:type Shelf',
'table1 rdf:type Table',
'myself sees shelf1',
'take_blue_cube performedBy myself',
'take_blue_cube rdf:type Get',
'take_blue_cube actsOnObject blue_cube',
'take_my_cube canBePerformedBy SPEAKER',
'take_my_cube involves another_cube',
'take_my_cube rdf:type Take',
'SPEAKER focusesOn another_cube',
'id_danny rdfs:label "Danny"',
'give_another_cube rdf:type Give',
'give_another_cube performedBy id_danny',
'give_another_cube receivedBy SPEAKER',
'give_another_cube actsOnObject another_cube',
'id_danny sees SPEAKER',
])
self.qhandler = QuestionHandler("SPEAKER")
self.resolver = Resolver()
