def __init__(self):
self.kb = ResourcePool().ontology_server
# Store the list of subproperties of 'hasFeature'
# used in create_nominal_group_with_object()
try:
self.features_properties = self.kb[
"* rdfs:subPropertyOf hasFeature"]
except TypeError:
# No ontology server?
self.features_properties = []
def __init__(self):
self.kb = ResourcePool().ontology_server
# Store the list of subproperties of 'hasFeature'
# used in create_nominal_group_with_object()
try:
self.features_properties = self.kb["* rdfs:subPropertyOf hasFeature"]
except TypeError:
# No ontology server?
self.features_properties = []
class SentenceFactory(object):
def __init__(self):
self.kb = ResourcePool().ontology_server
# Store the list of subproperties of 'hasFeature'
# used in create_nominal_group_with_object()
try:
self.features_properties = self.kb["* rdfs:subPropertyOf hasFeature"]
except TypeError:
# No ontology server?
self.features_properties = []
def create_w_question_choice(self, obj_name, feature, values):
""" Creates sentences of type:
Which color is the bottle? Blue or yellow.
"""
nominal_groupL = [NominalGroup([], [], [[val.lower(), []]], [], []) for val in values]
sentence = [Sentence(W_QUESTION, 'choice',
[NominalGroup([], [feature], [], [], [])],
[VerbalGroup(['be'], [], 'present simple',
[NominalGroup(['the'], [obj_name.lower()], [], [], [])],
[], [], [], VerbalGroup.affirmative, [])]),
Sentence(STATEMENT, '', nominal_groupL, [])]
for i in range(len(values) - 1):
sentence[1].sn[i + 1]._conjunction = 'OR'
return sentence
def create_w_question_generic_descriptor(self, obj_name, feature, values):
""" Creates sentences of type:
What <descriptor> <object>? <possible value>
For instance:
"What contains the can? apple juice or orange juice?
This works only if the descriptor is at 3rd person.
"""
nominal_groupL = [NominalGroup([], [], [[val.lower(), []]], [], []) for val in values]
sentence = [Sentence(W_QUESTION, 'description',
[NominalGroup(['the'], [obj_name.lower()], [], [], [])],
[VerbalGroup([feature[:-1]], [], 'present simple',
[], [], [], [], VerbalGroup.affirmative, [])]),
Sentence(STATEMENT, '', nominal_groupL, [])]
for i in range(len(values) - 1):
sentence[1].sn[i + 1]._conjunction = 'OR'
return sentence
def create_w_question_location(self, obj_name, feature, values):
""" Creates sentences of type:
"Where is the box? On the table or on the shelf?"
"""
indirect_complL = [IndirectComplement([feature], [NominalGroup(['the'], [val], [], [], [])]) \
for val in values]
sentence = [Sentence(W_QUESTION, 'place',
[NominalGroup(['the'], [obj_name], [], [], [])],
[VerbalGroup(['be'], [], 'present simple',
[], [], [], [], VerbalGroup.affirmative, [])]),
Sentence(YES_NO_QUESTION, '', [],
[VerbalGroup([], [], '',
[], indirect_complL, [], [], VerbalGroup.affirmative, [])])]
for i in range(len(values) - 1):
sentence[1].sv[0].i_cmpl[i + 1].gn[0]._conjunction = 'OR'
return sentence
def create_w_question_location_PT(self, values, agent):
""" Creates sentences of type:
"Is it on your left or in front of you?"
"""
indirect_complements = []
for val in values:
if 'right' in val.lower() or 'left' in val.lower():
if agent == 'myself':
det = 'my'
else:
det = 'your'
indirect_complements.append(IndirectComplement(['on'], [NominalGroup([det], [val], [], [], [])]))
else:
if agent == 'myself':
det = 'me'
else:
det = 'you'
if 'back' in val.lower():
prep = 'behind'
elif 'front' in val.lower():
prep = 'in front of'
else:
prep = None
indirect_complements.append(IndirectComplement([prep], [NominalGroup([], [det], [], [], [])]))
sentence = [Sentence(YES_NO_QUESTION, '',
[NominalGroup([], ['it'], [], [], [])],
[VerbalGroup(['be'], [], 'present simple',
[], indirect_complements, [], [], VerbalGroup.affirmative, [])])]
for i in range(len(values) - 1):
sentence[0].sv[0].i_cmpl[i + 1].gn[0]._conjunction = 'OR'
return sentence
def create_what_do_you_mean_reference(self, object):
""" Creates sentences of type:
"The bottle? What do you mean?"
"""
sentence = [Sentence(YES_NO_QUESTION, '', [object], []),
Sentence(W_QUESTION, 'thing',
[NominalGroup([], ['you'], [], [], [])],
[VerbalGroup(['mean'], [], 'present simple', [], [], [], [], VerbalGroup.affirmative,
[])])]
return sentence
def create_no_instance_of(self, object):
""" Creates sentences of type:
"I don't know any bottle"
"""
any_object = object
any_object.det = ['any']
sentence = [Sentence(STATEMENT, 'thing',
[NominalGroup([], ['I'], [], [], [])],
[VerbalGroup(['know'], [], 'present simple', [object], [], [], [], VerbalGroup.negative,
[])])]
return sentence
def create_do_you_mean_reference(self, object):
""" Creates sentences:
"Do you mean the bottle?"
"""
# Special case of an occurence of "other" in adjectives
if object and ['other', []] in object.adj:
object.adj = [['other', []]]
object.noun_cmpl = []
object.relative = []
return [Sentence(YES_NO_QUESTION, '',
[NominalGroup([], ['you'], [], [], [])],
[VerbalGroup(['mean'], [], 'present simple', [object], [], [], [], VerbalGroup.affirmative,
[])])]
def create_what_is_a_reference(self, object, objectL):
""" Creates sentences of type:
"bottles are objects? What is a bottle?"
"""
sentence = [object, Sentence(W_QUESTION, 'thing',
[], [VerbalGroup(['be'], [], 'present simple', [], [], [], [], VerbalGroup.affirmative, [])])]
for obj in objectL:
sentence[1].sn.append(NominalGroup(['an' if obj[0].lower() in 'aeiou' else 'a'],
[obj], [], [], []))
return sentence
def create_w_question_answer(self, w_question, w_answer, current_speaker, query_on_field):
"""Create the answer of a W-Question
w_question is the current question
w_answer is the response found in the ontology
query_on_field is the part of the W_question to fill with the answer. it takes the following values:
- None :
- QUERY_ON_INDIRECT_OBJ
- QUERY_ON_DIRECT_OBJ
"""
#Nominal group holding the answer
nominal_groupL = []
#if "me", "you", "us"
myself = False
yourself = False
#Return. I am sorry. I don't know
if not w_answer:
return [Sentence(STATEMENT, "",
[NominalGroup([], ['I'], [], [], [])],
[VerbalGroup(['be'], [], "present simple",
[NominalGroup([], [], [['sorry', []]], [], [])], [], [], [], "affirmative",
[])]),
Sentence(STATEMENT, "",
[NominalGroup([], ['I'], [], [], [])],
[VerbalGroup(['know'], [], "present simple",
[], [], [], [], "negative", [])])]
# Case of adjectives only
if w_question.aim in ResourcePool().adjectives_ontology_classes:
ng = NominalGroup([], [], [[w_answer[0][1][0], []]], [], [])
preposition = w_answer[0][0]
ng._resolved = True
nominal_groupL = [[preposition, [ng]]]
else:
for [preposition, response] in w_answer:
ngL = []
for resp in response:
if resp == "myself":
myself = True
if resp == current_speaker:
yourself = True
ng = self.create_nominal_group_with_object(resp, current_speaker)
if ng:
ng.id = resp
ng._resolved = True
ngL.append(ng)
#Arraging preposition
if preposition and preposition[0] in ResourcePool().direction_words:
if preposition[0] == 'front':
preposition[0] = "in+front+of"
elif preposition[0] == "back":
preposition[0] == "behind"
elif preposition[0] == "bottom":
preposition[0] == "underneath"
elif preposition[0] == "top":
prepsosition[0] = "above"
else:
# Here we try to output something similar to My left, or Your left or at the left of ACHILLE
# Case of "my and your"
if myself and yourself:
ngL = [NominalGroup(["our"], preposition, [], [], [])]
#
elif myself:
ngL = [NominalGroup(["my"], preposition, [], [], [])]
elif yourself:
ngL = [NominalGroup(["your"], preposition, [], [], [])]
else:
ngL = [NominalGroup(["the"], preposition, [], ngL, [])]
preposition = ["at"]
nominal_groupL.append([preposition, ngL])
#Sentence holding the answer
# work on a new sentence, so that changes made here do not affect the original w_question
sentence = Sentence(STATEMENT,
w_question.aim,
w_question.sn,
w_question.sv)
sentence = self.reverse_personal_pronoun(sentence)
if not query_on_field:#Default case on sentence.sn
sentence.sn = [ng for [prep, ngL] in nominal_groupL for ng in ngL]
sentence.sv = []
elif query_on_field == 'QUERY_ON_DIRECT_OBJ':
sentence.sv[0].d_obj = [ng for [prep, ngL] in nominal_groupL for ng in ngL]
elif query_on_field == 'QUERY_ON_INDIRECT_OBJ':
sentence.sv[0].i_cmpl = [IndirectComplement(ng[0], ng[1]) for ng in nominal_groupL]
sentence.aim = ""
return [sentence]
def reverse_personal_pronoun(self, sentence):
""" transforming all the nominal group in a sentence with the following rules:
You -> Me, I
I, Me -> you
my -> your
your -> my
"""
def _reverse_noun_group_personal_pronoun(nominal_groupL, subject=True):
"""Transforming within a group of nominal group"""
for ng in nominal_groupL:
#Determinant
if ng.det and ng.det == ['my']:
ng.det = ['your']
elif ng.det and ng.det == ['your']:
ng.det = ['my']
#Noun
if ng.noun and ng.noun == ['you']:
ng.noun = ['I'] if subject else ['me']
elif ng.noun and ng.noun in [['I'], ['me']]:
ng.noun = ['you']
else:
pass
return nominal_groupL
#Subject sentence.sn
if sentence.sn:
sentence.sn = _reverse_noun_group_personal_pronoun(sentence.sn)
for sv in sentence.sv:
#Direct object
if sv.d_obj:
sv.d_obj = _reverse_noun_group_personal_pronoun(sv.d_obj, False)
#Indirect complement
for i_cmpl in sv.i_cmpl:
i_cmpl.gn = _reverse_noun_group_personal_pronoun(i_cmpl.gn)
return sentence
def create_nominal_group_with_object(self, object, current_speaker):
"""Creating a nominal group by retrieving relevant information on 'object'."""
ignored_classes = ['ActiveConcept', 'Location',
'Agent', 'cyc:SpatialThing-Localized', 'cyc:SpatialThing',
'cyc:PartiallyTangible', 'cyc:EnduringThing-Localized', 'cyc:Object-SupportingFurniture',
'Artifact', 'PhysicalSupport', 'owl:Thing', 'Place']
#Creating object components : Det, Noun, noun-cmpl, etc.
# reference to myself, current speaker, ...
if object == "myself":
return NominalGroup([], ["me"], [], [], []) # No need to go further as we know "myself" ID
if object == current_speaker:
return NominalGroup([], ["you"], [], [], []) # No need to go further as we know the current speaker's ID
label = self.kb.getLabel(object)
if not label == object: #We really have a label for this concept
return NominalGroup([], [label], [], [], [])
# Else, we proceed with full discrimination to generate a
# unique description of our object.
from dialogs.interpretation.discrimination import Discrimination
discrimination = Discrimination()
unambiguous, desc = discrimination.find_unambiguous_desc(object)
logger.info("Result from desc:" + str(desc) + \
" (unambiguous description)" if unambiguous else " (ambiguous description)")
types = []
other_features = []
for elem in desc:
s, p, o = elem.split()
if p == "rdf:type":
types.append(o)
else:
other_features.append((p, o))
types = [t for t in types if t not in ignored_classes]
# No type remains after filtering: probably an non-concrete
# entity. Let forget it.
if not types:
logger.warning(object + " has no type suitable for verbalization." + \
"I won't mention it to the user.")
return None
object_determiner = ['the']
object_noun = [self.kb.getLabel(random.choice(types)).lower()] #TODO: for now, just pick randomly a class name
object_features = []
for feature in other_features:
p, o = feature
if p in self.features_properties:
object_features.append([self.kb.getLabel(o), []]) # Cf Adjectives format: list[main, list[quatifiers]]
#TODO
#else:
# features like: "toto sees tata"
# -> create relative like "that sees tata"
# Nominal Group to return
return NominalGroup(object_determiner,
object_noun,
object_features,
[],
[])
def create_yes_no_answer(self, yes_no_question, answer):
sentence = self.reverse_personal_pronoun(yes_no_question)
sentence.data_type = STATEMENT
if answer:
return [Sentence(AGREEMENT,
"yes",
[],
[]),
sentence]
else:
sentence.data_type = SUBSENTENCE
sentence.aim = "if"
return [Sentence(STATEMENT,
"",
[NominalGroup([], ['I'], [], [], [])],
[VerbalGroup(['know'], [], "present simple", [], [], [], [], "negative", [sentence])])]
def create_i_dont_understand(self):
return [Sentence(STATEMENT,
"",
[NominalGroup([], ['I'], [], [], [])],
[VerbalGroup(['understand'], [], "present simple", [], [], [], [], "negative", [])])]
def create_gratulation_reply(self):
""" Create a reply to gratualtion
E.g: You are welcome.
"""
return [Sentence(STATEMENT, "",
[NominalGroup([], ['you'], [], [], [])],
[VerbalGroup(['be'], [], "present simple",
[NominalGroup([], [], [['welcome', []]], [], [])], [], [], [], "affirmative",
[])])]
def create_agree_reply(self):
agreements = [[Sentence(AGREEMENT, "alright", [], [])], [Sentence(AGREEMENT, "ok", [], [])]]
return random.choice(agreements)
def create_w_question_answer(self, w_question, w_answer, current_speaker,
query_on_field):
"""Create the answer of a W-Question
w_question is the current question
w_answer is the response found in the ontology
query_on_field is the part of the W_question to fill with the answer. it takes the following values:
- None :
- QUERY_ON_INDIRECT_OBJ
- QUERY_ON_DIRECT_OBJ
"""
#Nominal group holding the answer
nominal_groupL = []
#if "me", "you", "us"
myself = False
yourself = False
#Return. I am sorry. I don't know
if not w_answer:
return [
Sentence(STATEMENT, "", [NominalGroup([], ['I'], [], [], [])],
[
VerbalGroup(['be'], [], "present simple", [
NominalGroup([], [], [['sorry', []]], [], [])
], [], [], [], "affirmative", [])
]),
Sentence(STATEMENT, "", [NominalGroup([], ['I'], [], [], [])],
[
VerbalGroup(['know'], [], "present simple", [],
[], [], [], "negative", [])
])
]
# Case of adjectives only
if w_question.aim in ResourcePool().adjectives_ontology_classes:
ng = NominalGroup([], [], [[w_answer[0][1][0], []]], [], [])
preposition = w_answer[0][0]
ng._resolved = True
nominal_groupL = [[preposition, [ng]]]
else:
for [preposition, response] in w_answer:
ngL = []
for resp in response:
if resp == "myself":
myself = True
if resp == current_speaker:
yourself = True
ng = self.create_nominal_group_with_object(
resp, current_speaker)
if ng:
ng.id = resp
ng._resolved = True
ngL.append(ng)
#Arraging preposition
if preposition and preposition[0] in ResourcePool(
).direction_words:
if preposition[0] == 'front':
preposition[0] = "in+front+of"
elif preposition[0] == "back":
preposition[0] == "behind"
elif preposition[0] == "bottom":
preposition[0] == "underneath"
elif preposition[0] == "top":
prepsosition[0] = "above"
else:
# Here we try to output something similar to My left, or Your left or at the left of ACHILLE
# Case of "my and your"
if myself and yourself:
ngL = [
NominalGroup(["our"], preposition, [], [], [])
]
#
elif myself:
ngL = [
NominalGroup(["my"], preposition, [], [], [])
]
elif yourself:
ngL = [
NominalGroup(["your"], preposition, [], [], [])
]
else:
ngL = [
NominalGroup(["the"], preposition, [], ngL, [])
]
preposition = ["at"]
nominal_groupL.append([preposition, ngL])
#Sentence holding the answer
# work on a new sentence, so that changes made here do not affect the original w_question
sentence = Sentence(STATEMENT, w_question.aim, w_question.sn,
w_question.sv)
sentence = self.reverse_personal_pronoun(sentence)
if not query_on_field: #Default case on sentence.sn
sentence.sn = [ng for [prep, ngL] in nominal_groupL for ng in ngL]
sentence.sv = []
elif query_on_field == 'QUERY_ON_DIRECT_OBJ':
sentence.sv[0].d_obj = [
ng for [prep, ngL] in nominal_groupL for ng in ngL
]
elif query_on_field == 'QUERY_ON_INDIRECT_OBJ':
sentence.sv[0].i_cmpl = [
IndirectComplement(ng[0], ng[1]) for ng in nominal_groupL
]
sentence.aim = ""
return [sentence]
class SentenceFactory(object):
def __init__(self):
self.kb = ResourcePool().ontology_server
# Store the list of subproperties of 'hasFeature'
# used in create_nominal_group_with_object()
try:
self.features_properties = self.kb[
"* rdfs:subPropertyOf hasFeature"]
except TypeError:
# No ontology server?
self.features_properties = []
def create_w_question_choice(self, obj_name, feature, values):
""" Creates sentences of type:
Which color is the bottle? Blue or yellow.
"""
nominal_groupL = [
NominalGroup([], [], [[val.lower(), []]], [], []) for val in values
]
sentence = [
Sentence(
W_QUESTION, 'choice',
[NominalGroup([], [feature], [], [], [])], [
VerbalGroup(['be'], [], 'present simple', [
NominalGroup(['the'], [obj_name.lower()], [], [], [])
], [], [], [], VerbalGroup.affirmative, [])
]),
Sentence(STATEMENT, '', nominal_groupL, [])
]
for i in range(len(values) - 1):
sentence[1].sn[i + 1]._conjunction = 'OR'
return sentence
def create_w_question_generic_descriptor(self, obj_name, feature, values):
""" Creates sentences of type:
What <descriptor> <object>? <possible value>
For instance:
"What contains the can? apple juice or orange juice?
This works only if the descriptor is at 3rd person.
"""
nominal_groupL = [
NominalGroup([], [], [[val.lower(), []]], [], []) for val in values
]
sentence = [
Sentence(W_QUESTION, 'description',
[NominalGroup(['the'], [obj_name.lower()], [], [], [])], [
VerbalGroup([feature[:-1]], [], 'present simple', [],
[], [], [], VerbalGroup.affirmative, [])
]),
Sentence(STATEMENT, '', nominal_groupL, [])
]
for i in range(len(values) - 1):
sentence[1].sn[i + 1]._conjunction = 'OR'
return sentence
def create_w_question_location(self, obj_name, feature, values):
""" Creates sentences of type:
"Where is the box? On the table or on the shelf?"
"""
indirect_complL = [IndirectComplement([feature], [NominalGroup(['the'], [val], [], [], [])]) \
for val in values]
sentence = [
Sentence(W_QUESTION, 'place',
[NominalGroup(['the'], [obj_name], [], [], [])], [
VerbalGroup(['be'], [], 'present simple', [], [], [],
[], VerbalGroup.affirmative, [])
]),
Sentence(YES_NO_QUESTION, '', [], [
VerbalGroup([], [], '', [], indirect_complL, [], [],
VerbalGroup.affirmative, [])
])
]
for i in range(len(values) - 1):
sentence[1].sv[0].i_cmpl[i + 1].gn[0]._conjunction = 'OR'
return sentence
def create_w_question_location_PT(self, values, agent):
""" Creates sentences of type:
"Is it on your left or in front of you?"
"""
indirect_complements = []
for val in values:
if 'right' in val.lower() or 'left' in val.lower():
if agent == 'myself':
det = 'my'
else:
det = 'your'
indirect_complements.append(
IndirectComplement(
['on'], [NominalGroup([det], [val], [], [], [])]))
else:
if agent == 'myself':
det = 'me'
else:
det = 'you'
if 'back' in val.lower():
prep = 'behind'
elif 'front' in val.lower():
prep = 'in front of'
else:
prep = None
indirect_complements.append(
IndirectComplement([prep],
[NominalGroup([], [det], [], [], [])]))
sentence = [
Sentence(YES_NO_QUESTION, '',
[NominalGroup([], ['it'], [], [], [])], [
VerbalGroup(['be'], [], 'present simple', [],
indirect_complements, [], [],
VerbalGroup.affirmative, [])
])
]
for i in range(len(values) - 1):
sentence[0].sv[0].i_cmpl[i + 1].gn[0]._conjunction = 'OR'
return sentence
def create_what_do_you_mean_reference(self, object):
""" Creates sentences of type:
"The bottle? What do you mean?"
"""
sentence = [
Sentence(YES_NO_QUESTION, '', [object], []),
Sentence(W_QUESTION, 'thing',
[NominalGroup([], ['you'], [], [], [])], [
VerbalGroup(['mean'], [], 'present simple', [], [],
[], [], VerbalGroup.affirmative, [])
])
]
return sentence
def create_no_instance_of(self, object):
""" Creates sentences of type:
"I don't know any bottle"
"""
any_object = object
any_object.det = ['any']
sentence = [
Sentence(STATEMENT, 'thing', [NominalGroup([], ['I'], [], [], [])],
[
VerbalGroup(['know'], [], 'present simple', [object],
[], [], [], VerbalGroup.negative, [])
])
]
return sentence
def create_do_you_mean_reference(self, object):
""" Creates sentences:
"Do you mean the bottle?"
"""
# Special case of an occurence of "other" in adjectives
if object and ['other', []] in object.adj:
object.adj = [['other', []]]
object.noun_cmpl = []
object.relative = []
return [
Sentence(YES_NO_QUESTION, '',
[NominalGroup([], ['you'], [], [], [])], [
VerbalGroup(['mean'], [], 'present simple', [object],
[], [], [], VerbalGroup.affirmative, [])
])
]
def create_what_is_a_reference(self, object, objectL):
""" Creates sentences of type:
"bottles are objects? What is a bottle?"
"""
sentence = [
object,
Sentence(W_QUESTION, 'thing', [], [
VerbalGroup(['be'], [], 'present simple', [], [], [], [],
VerbalGroup.affirmative, [])
])
]
for obj in objectL:
sentence[1].sn.append(
NominalGroup(['an' if obj[0].lower() in 'aeiou' else 'a'],
[obj], [], [], []))
return sentence
def create_w_question_answer(self, w_question, w_answer, current_speaker,
query_on_field):
"""Create the answer of a W-Question
w_question is the current question
w_answer is the response found in the ontology
query_on_field is the part of the W_question to fill with the answer. it takes the following values:
- None :
- QUERY_ON_INDIRECT_OBJ
- QUERY_ON_DIRECT_OBJ
"""
#Nominal group holding the answer
nominal_groupL = []
#if "me", "you", "us"
myself = False
yourself = False
#Return. I am sorry. I don't know
if not w_answer:
return [
Sentence(STATEMENT, "", [NominalGroup([], ['I'], [], [], [])],
[
VerbalGroup(['be'], [], "present simple", [
NominalGroup([], [], [['sorry', []]], [], [])
], [], [], [], "affirmative", [])
]),
Sentence(STATEMENT, "", [NominalGroup([], ['I'], [], [], [])],
[
VerbalGroup(['know'], [], "present simple", [],
[], [], [], "negative", [])
])
]
# Case of adjectives only
if w_question.aim in ResourcePool().adjectives_ontology_classes:
ng = NominalGroup([], [], [[w_answer[0][1][0], []]], [], [])
preposition = w_answer[0][0]
ng._resolved = True
nominal_groupL = [[preposition, [ng]]]
else:
for [preposition, response] in w_answer:
ngL = []
for resp in response:
if resp == "myself":
myself = True
if resp == current_speaker:
yourself = True
ng = self.create_nominal_group_with_object(
resp, current_speaker)
if ng:
ng.id = resp
ng._resolved = True
ngL.append(ng)
#Arraging preposition
if preposition and preposition[0] in ResourcePool(
).direction_words:
if preposition[0] == 'front':
preposition[0] = "in+front+of"
elif preposition[0] == "back":
preposition[0] == "behind"
elif preposition[0] == "bottom":
preposition[0] == "underneath"
elif preposition[0] == "top":
prepsosition[0] = "above"
else:
# Here we try to output something similar to My left, or Your left or at the left of ACHILLE
# Case of "my and your"
if myself and yourself:
ngL = [
NominalGroup(["our"], preposition, [], [], [])
]
#
elif myself:
ngL = [
NominalGroup(["my"], preposition, [], [], [])
]
elif yourself:
ngL = [
NominalGroup(["your"], preposition, [], [], [])
]
else:
ngL = [
NominalGroup(["the"], preposition, [], ngL, [])
]
preposition = ["at"]
nominal_groupL.append([preposition, ngL])
#Sentence holding the answer
# work on a new sentence, so that changes made here do not affect the original w_question
sentence = Sentence(STATEMENT, w_question.aim, w_question.sn,
w_question.sv)
sentence = self.reverse_personal_pronoun(sentence)
if not query_on_field: #Default case on sentence.sn
sentence.sn = [ng for [prep, ngL] in nominal_groupL for ng in ngL]
sentence.sv = []
elif query_on_field == 'QUERY_ON_DIRECT_OBJ':
sentence.sv[0].d_obj = [
ng for [prep, ngL] in nominal_groupL for ng in ngL
]
elif query_on_field == 'QUERY_ON_INDIRECT_OBJ':
sentence.sv[0].i_cmpl = [
IndirectComplement(ng[0], ng[1]) for ng in nominal_groupL
]
sentence.aim = ""
return [sentence]
def reverse_personal_pronoun(self, sentence):
""" transforming all the nominal group in a sentence with the following rules:
You -> Me, I
I, Me -> you
my -> your
your -> my
"""
def _reverse_noun_group_personal_pronoun(nominal_groupL, subject=True):
"""Transforming within a group of nominal group"""
for ng in nominal_groupL:
#Determinant
if ng.det and ng.det == ['my']:
ng.det = ['your']
elif ng.det and ng.det == ['your']:
ng.det = ['my']
#Noun
if ng.noun and ng.noun == ['you']:
ng.noun = ['I'] if subject else ['me']
elif ng.noun and ng.noun in [['I'], ['me']]:
ng.noun = ['you']
else:
pass
return nominal_groupL
#Subject sentence.sn
if sentence.sn:
sentence.sn = _reverse_noun_group_personal_pronoun(sentence.sn)
for sv in sentence.sv:
#Direct object
if sv.d_obj:
sv.d_obj = _reverse_noun_group_personal_pronoun(
sv.d_obj, False)
#Indirect complement
for i_cmpl in sv.i_cmpl:
i_cmpl.gn = _reverse_noun_group_personal_pronoun(i_cmpl.gn)
return sentence
def create_nominal_group_with_object(self, object, current_speaker):
"""Creating a nominal group by retrieving relevant information on 'object'."""
ignored_classes = [
'ActiveConcept', 'Location', 'Agent', 'cyc:SpatialThing-Localized',
'cyc:SpatialThing', 'cyc:PartiallyTangible',
'cyc:EnduringThing-Localized', 'cyc:Object-SupportingFurniture',
'Artifact', 'PhysicalSupport', 'owl:Thing', 'Place'
]
#Creating object components : Det, Noun, noun-cmpl, etc.
# reference to myself, current speaker, ...
if object == "myself":
return NominalGroup(
[], ["me"], [], [],
[]) # No need to go further as we know "myself" ID
if object == current_speaker:
return NominalGroup(
[], ["you"], [], [], []
) # No need to go further as we know the current speaker's ID
label = self.kb.getLabel(object)
if not label == object: #We really have a label for this concept
return NominalGroup([], [label], [], [], [])
# Else, we proceed with full discrimination to generate a
# unique description of our object.
from dialogs.interpretation.discrimination import Discrimination
discrimination = Discrimination()
unambiguous, desc = discrimination.find_unambiguous_desc(object)
logger.info("Result from desc:" + str(desc) + \
" (unambiguous description)" if unambiguous else " (ambiguous description)")
types = []
other_features = []
for elem in desc:
s, p, o = elem.split()
if p == "rdf:type":
types.append(o)
else:
other_features.append((p, o))
types = [t for t in types if t not in ignored_classes]
# No type remains after filtering: probably an non-concrete
# entity. Let forget it.
if not types:
logger.warning(object + " has no type suitable for verbalization." + \
"I won't mention it to the user.")
return None
object_determiner = ['the']
object_noun = [self.kb.getLabel(random.choice(types)).lower()
] #TODO: for now, just pick randomly a class name
object_features = []
for feature in other_features:
p, o = feature
if p in self.features_properties:
object_features.append(
[self.kb.getLabel(o),
[]]) # Cf Adjectives format: list[main, list[quatifiers]]
#TODO
#else:
# features like: "toto sees tata"
# -> create relative like "that sees tata"
# Nominal Group to return
return NominalGroup(object_determiner, object_noun, object_features,
[], [])
def create_yes_no_answer(self, yes_no_question, answer):
sentence = self.reverse_personal_pronoun(yes_no_question)
sentence.data_type = STATEMENT
if answer:
return [Sentence(AGREEMENT, "yes", [], []), sentence]
else:
sentence.data_type = SUBSENTENCE
sentence.aim = "if"
return [
Sentence(STATEMENT, "", [NominalGroup([], ['I'], [], [], [])],
[
VerbalGroup(['know'], [], "present simple", [],
[], [], [], "negative", [sentence])
])
]
def create_i_dont_understand(self):
return [
Sentence(STATEMENT, "", [NominalGroup([], ['I'], [], [], [])], [
VerbalGroup(['understand'], [], "present simple", [], [], [],
[], "negative", [])
])
]
def create_gratulation_reply(self):
""" Create a reply to gratualtion
E.g: You are welcome.
"""
return [
Sentence(STATEMENT, "", [NominalGroup([], ['you'], [], [], [])], [
VerbalGroup(['be'], [], "present simple",
[NominalGroup([], [], [['welcome', []]], [], [])],
[], [], [], "affirmative", [])
])
]
def create_agree_reply(self):
agreements = [[Sentence(AGREEMENT, "alright", [], [])],
[Sentence(AGREEMENT, "ok", [], [])]]
return random.choice(agreements)