def clarify(self, keywords):
"""
Asks the user to specify a certain criteria if it is too broad.
"""
# if the necessary fields do not exist, then throw an exception
if 'clarify_cat' not in keywords or 'clarify_list' not in keywords:
raise NLGException('Not enough information in keywords')
# the first clause gets the user's attention
stat1 = SPhraseSpec('Hey ' + random.choice([random.choice([self.tone_str('adjectives') + ' ', '']) + self.tone_str('names'), '']), '')
# the second clause acknowledges that a specification was given
stat2 = SPhraseSpec('I', 'know', 'you wanted a type of %s' % (keywords['clarify_cat']))
# the third clause asks the user to provide a more narrow scope
stat3 = SPhraseSpec()
stat3.setCuePhrase('but please specify if')
stat3.setVerb('meant')
stat3.setSubject('you')
uniques = ''
for unique in keywords['clarify_list']:
if unique == keywords['clarify_list'][0]:
uniques += unique
elif unique == keywords['clarify_list'][-1]:
uniques += ', or ' + unique
else:
uniques += ', ' + unique
stat3.setPostmodifier(uniques)
# create the final utterance out of all the parts
clarification = TextSpec()
clarification.addSpec(stat1)
clarification.addSpec(stat2)
clarification.addSpec(stat3)
clarification.setListConjunct(',')
return REALISER.realiseDocument(clarification).strip()
def summarize_query(self, query):
"""
Returns an utterance that rewords the inputted query as a form
of acknowledgement to the user.
"""
# if no criteria is provided, let the user know that every dish
# will be searched
if query == {}:
return 'I will just look for every recipe we have.'
summary = SPhraseSpec()
summary.setSubject('I')
summary.setVerb(random.choice(self.search_verbs))
summary.setProgressive(gateway.jvm.java.lang.Boolean.TRUE)
# add specified cuisines included, if they exist
if 'include_cuisines' in query:
for cuisine in query['include_cuisines']:
if cuisine == query['include_cuisines'][-1]:
summary.addComplement(cuisine + ' dishes')
else:
summary.addComplement(cuisine)
else:
summary.addComplement('recipes')
# create phrase to include ingredients
if 'include_ingredients' in query:
ing_inc = PPPhraseSpec()
ing_inc.setPreposition('that contain ')
for ingredient in query['include_ingredients']:
ing_inc.addComplement(ingredient)
summary.addModifier(ing_inc)
# create phrase to exclude ingredients
if 'exclude_ingredients' in query:
ing_exc = PPPhraseSpec()
ing_exc.setPreposition('but do not contain')
for ingredient in query['exclude_ingredients']:
ing_exc.addComplement(ingredient)
summary.addModifier(ing_exc)
# create phrase to include recipe times and number of steps
# and/or ingredients
steps = SPhraseSpec()
if 'prep_time' in query or 'cook_time' in query or 'total_time' in query or 'num_steps' in query or 'num_ingredients' in query:
steps.setSubject('I')
steps.setVerb(random.choice(self.search_verbs))
steps.setProgressive(gateway.jvm.java.lang.Boolean.TRUE)
steps.addPremodifier('also')
steps_list = []
if 'prep_time' in query and query['prep_time'] != None:
steps_list.append('%i minutes to prepare' % query['prep_time'])
if 'cook_time' in query and query['cook_time'] != None:
steps_list.append('%i minutes to cook' % (query['cook_time']))
if 'total_time' in query and query['total_time'] != None:
steps_list.append('%i total minutes to make' %
(query['total_time']))
if 'num_steps' in query and query['num_steps'] != None:
steps_list.append('%i steps to complete' %
(query['num_steps']))
if 'num_ingredients' in query and query['num_ingredients'] != None:
steps_list.append('%i ingredients' %
(query['num_ingredients']))
for step in steps_list:
if step == steps_list[0]:
steps.addComplement('recipes that require ' + step)
else:
steps.addComplement(step)
# tie everything together into one utterance
final = TextSpec()
final.addSpec(summary)
final.addSpec(steps)
final.setListConjunct('.')
return self.clean_str(REALISER.realiseDocument(final).strip())
def clarify(self, keywords):
"""
Asks the user to specify a certain criteria if it is too broad.
"""
# if the necessary fields do not exist, then throw an exception
if 'clarify_cat' not in keywords or 'clarify_list' not in keywords:
raise NLGException('Not enough information in keywords')
# the first clause gets the user's attention
stat1 = SPhraseSpec(
'Hey ' + random.choice([
random.choice([self.tone_str('adjectives') + ' ', '']) +
self.tone_str('names'), ''
]), '')
# the second clause acknowledges that a specification was given
stat2 = SPhraseSpec(
'I', 'know', 'you wanted a type of %s' % (keywords['clarify_cat']))
# the third clause asks the user to provide a more narrow scope
stat3 = SPhraseSpec()
stat3.setCuePhrase('but please specify if')
stat3.setVerb('meant')
stat3.setSubject('you')
uniques = ''
for unique in keywords['clarify_list']:
if unique == keywords['clarify_list'][0]:
uniques += unique
elif unique == keywords['clarify_list'][-1]:
uniques += ', or ' + unique
else:
uniques += ', ' + unique
stat3.setPostmodifier(uniques)
# create the final utterance out of all the parts
clarification = TextSpec()
clarification.addSpec(stat1)
clarification.addSpec(stat2)
clarification.addSpec(stat3)
clarification.setListConjunct(',')
return self.clean_str(REALISER.realiseDocument(clarification).strip())
def unknown(self):
"""
Returns an utterance that tells the user the last input was not
understood.
"""
output = SPhraseSpec()
output.setSubject('I')
output.setComplement('you')
output.setTense(Tense.PAST)
choice = random.randint(1, 3)
if choice == 1:
output.setVerb('understand')
output.setComplement('what you')
output.setNegated(gateway.jvm.java.lang.Boolean.TRUE)
output.setPostmodifier('just said')
elif choice == 2:
output.setInterrogative(InterrogativeType.WHAT)
output.setVerb('do')
output.setPostmodifier('say')
elif choice == 3:
output.setTense(Tense.PRESENT)
output.setSubject('please rephrase')
output.setComplement('what you')
output.setPostmodifier('just said')
return self.clean_str(REALISER.realiseDocument(output).strip())
def generate(self, utter_type, keywords):
"""
Input: a type of inquiry to create and a dictionary of keywords.
Types of inquiries include 'what', 'who', 'where', 'why', 'how',
and 'yes/no' questions. Alternatively, 'none' can be specified to
generate a declarative statement.
The dictionary is essentially divided into three core parts: the
subject, the verb, and the object. Modifiers can be specified to these
parts (adverbs, adjectives, etc). Additionally, an optional
prepositional phrase can be specified.
Example:
>>> nlg = NaturalLanguageGenerator(logging.getLogger())
>>> words = {'subject': 'you',
... 'verb': 'prefer',
... 'object': 'recipes',
... 'preposition': 'that contains',
... 'objmodifiers': ['Thai'],
... 'prepmodifiers': ['potatoes', 'celery', 'carrots'],
... 'adverbs': ['confidently'],
... }
>>> nlg.generate('yes_no', words)
u'Do you confidently prefer Thai recipes that contains potatoes, celery and carrots?'
>>> nlg.generate('how', words)
u'How do you confidently prefer Thai recipes that contains potatoes, celery and carrots?'
"""
if utter_type.lower() == 'greet':
if 'name' in keywords:
self.normal_words['names'].append(keywords['name'])
return 'Hello, %s!' % (self.tone_str('names'))
utterance = SPhraseSpec()
subject = NPPhraseSpec(keywords['subject'])
target = NPPhraseSpec(keywords['object'])
preposition = PPPhraseSpec()
if 'preposition' in keywords:
preposition.setPreposition(keywords['preposition'])
if 'prepmodifiers' in keywords:
for modifier in keywords['prepmodifiers']:
preposition.addComplement(modifier)
if 'submodifiers' in keywords:
for modifier in keywords['submodifiers']:
subject.addModifier(modifier)
if 'objmodifiers' in keywords:
for modifier in keywords['objmodifiers']:
target.addModifier(modifier)
if utter_type.lower() == 'yes_no':
utterance.setInterrogative(InterrogativeType.YES_NO)
elif utter_type.lower() == 'how':
utterance.setInterrogative(InterrogativeType.HOW)
elif utter_type.lower() == 'what':
utterance.setInterrogative(InterrogativeType.WHAT)
elif utter_type.lower() == 'where':
utterance.setInterrogative(InterrogativeType.WHERE)
elif utter_type.lower() == 'who':
utterance.setInterrogative(InterrogativeType.WHO)
elif utter_type.lower() == 'why':
utterance.setInterrogative(InterrogativeType.WHY)
target.addModifier(preposition)
utterance.setSubject(keywords['subject'])
utterance.setVerb(keywords['verb'])
if 'adverbs' in keywords:
for modifier in keywords['adverbs']:
utterance.addModifier(modifier)
utterance.addComplement(target)
output = self.clean_str(REALISER.realiseDocument(utterance).strip())
return output
def summarize_query(self, query):
"""
Returns an utterance that rewords the inputted query as a form
of acknowledgement to the user.
"""
# if no criteria is provided, let the user know that every dish
# will be searched
if query == {}:
return 'I will just look for every recipe we have.'
summary = SPhraseSpec()
summary.setSubject('I')
summary.setVerb(random.choice(self.search_verbs))
summary.setProgressive(gateway.jvm.java.lang.Boolean.TRUE)
# add specified cuisines included, if they exist
if 'include_cuisines' in query:
for cuisine in query['include_cuisines']:
if cuisine == query['include_cuisines'][-1]:
summary.addComplement(cuisine + ' dishes')
else:
summary.addComplement(cuisine)
else:
summary.addComplement('recipes')
# create phrase to include ingredients
if 'include_ingredients' in query:
ing_inc = PPPhraseSpec()
ing_inc.setPreposition('that contain')
for ingredient in query['include_ingredients']:
ing_inc.addComplement(ingredient)
summary.addModifier(ing_inc)
# create phrase to exclude ingredients
if 'exclude_ingredients' in query:
ing_exc = PPPhraseSpec()
ing_exc.setPreposition('but do not contain')
for ingredient in query['exclude_ingredients']:
ing_exc.addComplement(ingredient)
summary.addModifier(ing_exc)
# create phrase to include recipe times and number of steps
# and/or ingredients
steps = SPhraseSpec()
if 'prep_time' in query or 'cook_time' in query or 'total_time' in query or 'num_steps' in query or 'num_ingredients' in query:
steps.setSubject('I')
steps.setVerb(random.choice(self.search_verbs))
steps.setProgressive(gateway.jvm.java.lang.Boolean.TRUE)
steps.addPremodifier('also')
steps_list = []
if 'prep_time' in query and query['prep_time'] != None:
steps_list.append('%i minutes to prepare' % query['prep_time'])
if 'cook_time' in query and query['cook_time'] != None:
steps_list.append('%i minutes to cook' % (query['cook_time']))
if 'total_time' in query and query['total_time'] != None:
steps_list.append('%i total minutes to make' %
(query['total_time']))
if 'num_steps' in query and query['num_steps'] != None:
steps_list.append('%i steps to complete' % (query['num_steps']))
if 'num_ingredients' in query and query['num_ingredients'] != None:
steps_list.append('%i ingredients' % (query['num_ingredients']))
for step in steps_list:
if step == steps_list[0]:
steps.addComplement('recipes that require ' + step)
else:
steps.addComplement(step)
# tie everything together into one utterance
final = TextSpec()
final.addSpec(summary)
final.addSpec(steps)
final.setListConjunct('.')
return REALISER.realiseDocument(final).strip()
def unknown(self):
"""
Returns an utterance that tells the user the last input was not
understood.
"""
output = SPhraseSpec()
output.setSubject('I')
output.setComplement('you')
output.setTense(Tense.PAST)
choice = random.randint(1, 3)
if choice == 1:
output.setVerb('understand')
output.setComplement('what you')
output.setNegated(gateway.jvm.java.lang.Boolean.TRUE)
output.setPostmodifier('just said')
elif choice == 2:
output.setInterrogative(InterrogativeType.WHAT)
output.setVerb('do')
output.setPostmodifier('say')
elif choice == 3:
output.setTense(Tense.PRESENT)
output.setSubject('please rephrase')
output.setComplement('what you')
output.setPostmodifier('just said')
return REALISER.realiseDocument(output).strip()
def generate(self, utter_type, keywords):
"""
Input: a type of inquiry to create and a dictionary of keywords.
Types of inquiries include 'what', 'who', 'where', 'why', 'how',
and 'yes/no' questions. Alternatively, 'none' can be specified to
generate a declarative statement.
The dictionary is essentially divided into three core parts: the
subject, the verb, and the object. Modifiers can be specified to these
parts (adverbs, adjectives, etc). Additionally, an optional
prepositional phrase can be specified.
Example:
>>> nlg = NaturalLanguageGenerator(logging.getLogger())
>>> words = {'subject': 'you',
... 'verb': 'prefer',
... 'object': 'recipes',
... 'preposition': 'that contains',
... 'objmodifiers': ['Thai'],
... 'prepmodifiers': ['potatoes', 'celery', 'carrots'],
... 'adverbs': ['confidently'],
... }
>>> nlg.generate('yes_no', words)
u'Do you confidently prefer Thai recipes that contains potatoes, celery and carrots?'
>>> nlg.generate('how', words)
u'How do you confidently prefer Thai recipes that contains potatoes, celery and carrots?'
"""
if utter_type.lower() == 'greet':
if 'name' in keywords:
self.normal_words['names'].append(keywords['name'])
return 'Hello, %s!' % (self.tone_str('names'))
utterance = SPhraseSpec()
subject = NPPhraseSpec(keywords['subject'])
target = NPPhraseSpec(keywords['object'])
preposition = PPPhraseSpec()
if 'preposition' in keywords:
preposition.setPreposition(keywords['preposition'])
if 'prepmodifiers' in keywords:
for modifier in keywords['prepmodifiers']:
preposition.addComplement(modifier)
if 'submodifiers' in keywords:
for modifier in keywords['submodifiers']:
subject.addModifier(modifier)
if 'objmodifiers' in keywords:
for modifier in keywords['objmodifiers']:
target.addModifier(modifier)
if utter_type.lower() == 'yes_no':
utterance.setInterrogative(InterrogativeType.YES_NO)
elif utter_type.lower() == 'how':
utterance.setInterrogative(InterrogativeType.HOW)
elif utter_type.lower() == 'what':
utterance.setInterrogative(InterrogativeType.WHAT)
elif utter_type.lower() == 'where':
utterance.setInterrogative(InterrogativeType.WHERE)
elif utter_type.lower() == 'who':
utterance.setInterrogative(InterrogativeType.WHO)
elif utter_type.lower() == 'why':
utterance.setInterrogative(InterrogativeType.WHY)
target.addModifier(preposition)
utterance.setSubject(keywords['subject'])
utterance.setVerb(keywords['verb'])
if 'adverbs' in keywords:
for modifier in keywords['adverbs']:
utterance.addModifier(modifier)
utterance.addComplement(target)
output = REALISER.realiseDocument(utterance).strip()
return output
def generate(self, utter_type, keywords, tense=None):
"""
Input: a type of inquiry to create and a dictionary of keywords.
Types of inquiries include 'what', 'who', 'where', 'why', 'how',
and 'yes/no' questions. Alternatively, 'none' can be specified to
generate a declarative statement.
The dictionary is essentially divided into three core parts: the
subject, the verb, and the object. Modifiers can be specified to these
parts (adverbs, adjectives, etc). Additionally, an optional
prepositional phrase can be specified.
Example:
nlg = NaturalLanguageGenerator(logging.getLogger())
words = {'subject': 'you',
'verb': 'prefer',
'object': 'recipes',
'preposition': 'that contains',
'objmodifiers': ['Thai'],
'prepmodifiers': ['potatoes', 'celery', 'carrots'],
'adverbs': ['confidently'],
}
nlg.generate('yes_no', words)
u'Do you confidently prefer Thai recipes that contains potatoes, celery and carrots?'
nlg.generate('how', words)
u'How do you confidently prefer Thai recipes that contains potatoes, celery and carrots?'
"""
utterance = SPhraseSpec()
subject = NPPhraseSpec(keywords["subject"])
target = None
if "object" in keywords:
target = NPPhraseSpec(keywords["object"])
preposition = PPPhraseSpec()
if "preposition" in keywords:
preposition.setPreposition(keywords["preposition"])
if "prepmodifiers" in keywords:
for modifier in keywords["prepmodifiers"]:
preposition.addComplement(modifier)
if "submodifiers" in keywords:
for modifier in keywords["submodifiers"]:
subject.addModifier(modifier)
if "objmodifiers" in keywords:
for modifier in keywords["objmodifiers"]:
target.addModifier(modifier)
if utter_type.lower() == "yes_no":
utterance.setInterrogative(InterrogativeType.YES_NO)
elif utter_type.lower() == "how":
utterance.setInterrogative(InterrogativeType.HOW)
elif utter_type.lower() == "what":
utterance.setInterrogative(InterrogativeType.WHAT)
elif utter_type.lower() == "where":
utterance.setInterrogative(InterrogativeType.WHERE)
elif utter_type.lower() == "who":
utterance.setInterrogative(InterrogativeType.WHO)
elif utter_type.lower() == "why":
utterance.setInterrogative(InterrogativeType.WHY)
if target is not None:
target.addModifier(preposition)
utterance.setSubject(subject)
utterance.setVerb(keywords["verb"])
if "adverbs" in keywords:
for modifier in keywords["adverbs"]:
utterance.addModifier(modifier)
if target is not None:
utterance.addComplement(target)
if tense.lower() == "future":
utterance.setTense(Tense.FUTURE)
elif tense.lower() == "past":
utterance.setTense(Tense.PAST)
realiser = Realiser()
output = realiser.realiseDocument(utterance).strip()
return output
