def test_inform_superheroes_loyalty(nlu):
"""
Tests exemplary whether a given user utterance, is recognized as belonging to a certain slot-value pair
Args:
nlu: NLU Object (given in conftest.py)
"""
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "loyalty"
act_out.value = "Avengers"
usr_utt = nlu.extract_user_acts(nlu, user_utterance='they should be part of Avengers')
assert 'user_acts' in usr_utt
assert usr_utt['user_acts'][0] == act_out
def test_inform_courses_language():
"""
Tests exemplary whether a given synonym, i.e. a user utterance, is recognized as belonging to a certain slot-value pair
"""
domain = JSONLookupDomain('ImsCourses')
nlu = HandcraftedNLU(domain)
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "lang"
act_out.value = "de"
usr_utt = nlu.extract_user_acts(nlu, user_utterance='german')
assert 'user_acts' in usr_utt
assert usr_utt['user_acts'][0] == act_out
def test_inform_superheroes_primary_uniform_color(nlu):
"""
Tests exemplary whether a given user utterance, is recognized as belonging to a certain slot-value pair
Args:
nlu: NLU Object (given in conftest.py)
"""
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "primary_uniform_color"
act_out.value = "Purple"
usr_utt = nlu.extract_user_acts(nlu, user_utterance='the uniform should be Purple')
assert 'user_acts' in usr_utt
assert usr_utt['user_acts'][0] == act_out
def test_inform_lecturers_name():
"""
Tests exemplary whether a given synonym, i.e. a user utterance, is recognized as belonging to a certain slot-value pair
"""
domain = JSONLookupDomain('ImsLecturers')
nlu = HandcraftedNLU(domain)
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "name"
act_out.value = "apl. prof. dr. agatha christie"
usr_utt = nlu.extract_user_acts(nlu, user_utterance='agatha christie')
assert 'user_acts' in usr_utt
assert usr_utt['user_acts'][0] == act_out
def test_inform_lecturers_department():
"""
Tests exemplary whether a given synonym, i.e. a user utterance, is recognized as belonging to a certain slot-value pair
"""
domain = JSONLookupDomain('ImsLecturers')
nlu = HandcraftedNLU(domain)
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "department"
act_out.value = "external"
usr_utt = nlu.extract_user_acts(nlu, user_utterance='informatics')
assert 'user_acts' in usr_utt
assert usr_utt['user_acts'][0] == act_out
def test_inform_binary_mensa_vegan():
"""
Tests exemplary whether a given synonym, i.e. a user utterance, is recognized as belonging to a certain binary slot-value pair
"""
domain = MensaDomain()
nlu = MensaNLU(domain)
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "vegan"
act_out.value = "true"
usr_utt = nlu.extract_user_acts(nlu, user_utterance='vegan, please')
assert 'user_acts' in usr_utt
assert usr_utt['user_acts'][0] == act_out
def test_inform_mensa_type():
"""
Tests exemplary whether a given synonym, i.e. a user utterance, is recognized as belonging to a certain slot-value pair
"""
domain = MensaDomain()
nlu = MensaNLU(domain)
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "type"
act_out.value = "starter"
usr_utt = nlu.extract_user_acts(nlu, user_utterance='I want a starter')
assert 'user_acts' in usr_utt
assert usr_utt['user_acts'][0] == act_out
def test_multiple_user_acts_mensa():
"""
Tests exemplary whether a given sentence with multiple user acts is understood properly
"""
domain = MensaDomain()
nlu = MensaNLU(domain)
usr_utt = nlu.extract_user_acts(
nlu, user_utterance='Hi, I want a dish with fish')
assert 'user_acts' in usr_utt
act_out = UserAct()
act_out.type = UserActionType.Hello
assert usr_utt['user_acts'][0] == act_out
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "fish"
act_out.value = "true"
assert usr_utt['user_acts'][1] == act_out
def test_multiple_user_acts_courses():
"""
Tests exemplary whether a given sentence with multiple user acts is understood properly
"""
domain = JSONLookupDomain('ImsCourses')
nlu = HandcraftedNLU(domain)
usr_utt = nlu.extract_user_acts(
nlu,
user_utterance='Hi, I want a course that is related to linguistics')
assert 'user_acts' in usr_utt
act_out = UserAct()
act_out.type = UserActionType.Hello
assert usr_utt['user_acts'][0] == act_out
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "linguistics"
act_out.value = "true"
assert usr_utt['user_acts'][1] == act_out
def test_multiple_user_acts_lecturers():
"""
Tests exemplary whether a given sentence with multiple user acts is understood properly
"""
domain = JSONLookupDomain('ImsLecturers')
nlu = HandcraftedNLU(domain)
usr_utt = nlu.extract_user_acts(
nlu,
user_utterance=
'Hi, I want a lecturer who is responsible for gender issues')
assert 'user_acts' in usr_utt
act_out = UserAct()
act_out.type = UserActionType.Hello
assert usr_utt['user_acts'][0] == act_out
act_out = UserAct()
act_out.type = UserActionType.Inform
act_out.slot = "position"
act_out.value = "gender"
assert usr_utt['user_acts'][1] == act_out