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Questions.py
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Questions.py
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# coding: utf-8
# In[1]:
import random
from tracery import Grammar, modifiers
import tracery_alterations
from collections import namedtuple
import pycorpora
# In[2]:
class Question(namedtuple('Question',
['id','questions','answers','additional_tags'])):
def instantiate(self, n=2):
if n=='lambda':
return (self.questions(), self.answers)
else:
return (self.questions(), [self.answers() for i in range(n)])
# In[3]:
def question_set(questions, max_qs=10, answers=2, exclude=[]):
r = []
tags = set(exclude)
for i in range(max_qs):
valid = [q for q in questions
if q.id not in tags
and all(qt not in tags for qt in q.additional_tags)]
if len(valid) == 0:
break
q = random.choice(valid)
r.append(q.instantiate(answers))
tags.add(q.id)
for t in q.additional_tags:
tags.add(t)
return r
# In[4]:
saint_titles = ['Saint ', 'Pope ', 'King ', 'Mother ']
# In[5]:
qg = Grammar({
'animal':pycorpora.animals.common['animals'],
'first_name_en':pycorpora.humans.firstNames['firstNames'],
'last_name_en':pycorpora.humans.lastNames['lastNames'],
'first_name_no':(pycorpora.humans.norwayFirstNamesBoys['firstnames_boys_norwegian'] +
pycorpora.humans.norwayFirstNamesGirls['firstnames_girls_norwegian']),
'last_name_no':pycorpora.humans.norwayLastNames['lastnames_norwegian'],
'first_name_es':pycorpora.humans.spanishFirstNames['firstNames'],
'last_name_es':pycorpora.humans.spanishLastNames['lastNames'],
'any_title':pycorpora.humans.englishHonorifics['englishHonorifics'],
'object':[x.strip() for x in pycorpora.objects.objects['objects']
if x.strip()[-1] != 's'],# and len(x.split()) < 2
'cluedo_suspect':pycorpora.games.cluedo['suspects']['Cluedo'],
'cluedo_weapon':pycorpora.games.cluedo['weapons']['Cluedo'],
'cluedo_room':pycorpora.games.cluedo['rooms'],
'clue_suspect':pycorpora.games.cluedo['suspects']['Clue'],
'clue_weapon':pycorpora.games.cluedo['weapons']['Clue'],
'clue_room':pycorpora.games.cluedo['rooms'],
'room':pycorpora.architecture.rooms['rooms'],
'appliance':pycorpora.technology.appliances['appliances'],
'strange_word':pycorpora.words.strange_words['words'],
'name_suffix':pycorpora.humans.suffixes['suffixes'],
'greek_god':pycorpora.mythology.greek_gods['greek_gods'],
'greek_monster':pycorpora.mythology.greek_monsters['greek_monsters'],
'greek_titan':pycorpora.mythology.greek_titans['greek_titans'],
'celebrity':pycorpora.humans.celebrities['celebrities'],
'street_core':([x.split()[-1] for x in pycorpora.humans.celebrities['celebrities']] +
[x.split()[-1] for x in pycorpora.humans.britishActors['britishActors']] +
pycorpora.geography.english_towns_cities['towns'] +
pycorpora.geography.english_towns_cities['cities'] +
pycorpora.geography.countries['countries'] +
[x['name'] for x in pycorpora.geography.oceans['oceans']] +
[x['name'] for x in pycorpora.geography.rivers['rivers']]),
'saint':[x['saint'] if any(x['saint'].startswith(t)
for t in saint_titles)
else 'Saint '+x['saint']
for x in pycorpora.religion.christian_saints],
'pet':['#animal.a.capitalize#','#animal.a.capitalize#',
'#animal.a.capitalize#','#animal.a.capitalize#',
'#animal.a.capitalize#','#animal.a.capitalize#',
'#animal.a.capitalize#','#animal.a.capitalize#',
'#celebrity#'],
'street_noun':['street','road','street','road','street','road',
'street','road','street','road','street','road',
'lane','avenue','close','way',
'lane','avenue','close','way',
'boulevard','alley','drive','crescent','court',
'hill', 'strand','end','prospect','gate'],
'street_adjective':['old','new','west','east','north','south'],
'small_cardinal':['two','three','four'],
'street':['#street_core# #street_noun#','#street_core# #street_noun#','#street_core# #street_noun#',
'#street_core# #street_noun#','#street_core# #street_noun#','#street_core# #street_noun#',
'#street_adjective# #street_core# #street_noun#','#street_adjective# #street_core# #street_noun#',
'#street_adjective# #street_noun#',
'#street_adjective# #street_noun#',
'#small_cardinal# #street_core.s# #street_noun#',
'the #street_adjective# #street_noun#',
'the #street_noun#',
'#rare_street#'],
'rare_street':['#street#','#street#','#street#',
'#real_rare_street#'],
'real_rare_street':['whipmawhopma#street_noun#',
'whip-ma-whop-ma-#street_noun#',
#'#[street_core:#rude_word#]street#',
'#[street_core:#strange_word#]street#'],
'greek_whatever':['#greek_god#','#greek_monster#','#greek_titan#'],
'cluedo':['#cluedo_suspect#, in the #cluedo_room#, with the #cluedo_weapon#',
'#clue_suspect#, in the #clue_room#, with the #clue_weapon#'],
'any_pronouns':['{subject}/{object}/{dependentPossessive}/{independentPossessive}/{reflexive}'.format(**pronouns)
for pronouns in pycorpora.humans.thirdPersonPronouns['thirdPersonPronouns']],
'simple_pronouns':['he/him/his/his/himself',
'she/her/her/hers/herself',
'they/them/their/theirs/themself'],
'pronouns':['#simple_pronouns#','#simple_pronouns#','#simple_pronouns#','#any_pronouns#'],
'simple_title':['Mr','Mr','Mr','Mrs','Ms','Miss','Mx','Mx','Mx'],
'title':['#simple_title#','#simple_title#','#simple_title#','#any_title#'],
'first_name':['#first_name_en#','#first_name_en#','#first_name_en#',
'#first_name_no#','#first_name_es#'],
'single_last_name':['#last_name_en#','#last_name_en#','#last_name_en#',
'#last_name_no#','#last_name_es#'],
'last_name':['#single_last_name#','#single_last_name#',
'#single_last_name#-#single_last_name#'],
'full_name_no_suffix':['#first_name# #last_name#',
'#first_name# #first_name# #last_name#'],
'full_name':['#full_name_no_suffix#','#full_name_no_suffix#','#full_name_no_suffix#',
'#full_name_no_suffix# #name_suffix#'],
'title_last':'#title# #last_name#',
'title_full_name':'#title# #full_name#',
'first_name_noun':['first name',
'given name','given name','given name','given name','given name',
'personal name','personal name','personal name','personal name',
'forename',
'Christian name'],
'last_name_noun':['surname','surname','surname','surname',
'family name','family name','family name','family name','family name',
'last name'],
'title_noun':['honorific','title'],
'low_ordinal_number':['first','second','third','fourth','fifth',
'sixth','seventh','eighth','ninth','tenth',
'eleventh','twelth','thirteenth','fourteenth','fifteenth'],
'numerated_object':['#object.a#','two #object.s#','three #object.s#',
'four #object.s#','five #object.s#','six #object.s#',
'seven #object.s#','eight #object.s#','nine #object.s#'],
'object_collection_head':['#numerated_object#',
'#object_collection_head#, #numerated_object#'],
'object_collection':['#object_collection_head#, #numerated_object#, and #numerated_object#'],
'receive_verb':['receive','get'],
'maybe_x':['#x#',''],
'cheese_noun':['cheese','cheese','cheese','cheese',
'curd','fermented dairy product',
'cheese, curd, or #[x:other ]maybe_x#fermented dairy product',
'cheese or #[x:other ]maybe_x#fermented dairy product',
'curd or #[x:other ]maybe_x#fermented dairy product',
'cheese or curd'],
'room_question_clause':['were you born','was your first kiss',
'do you usually eat','do you usually sleep',
'do you keep your #[x:best ]maybe_x##appliance#',
'were you born','was your first kiss',
'do you usually eat','do you usually sleep',
'do you keep your #[x:best ]maybe_x##appliance#',
'do you keep your life savings'],
'room_question':['What kind of room #room_question_clause# in?',
'In what kind of room #room_question_clause#?',
'Where #room_question_clause#?'],
'room_answer':['#room.a.capitalize#',
'The #room#'],
'new_or_emerging':['new', 'emerging', 'new or emerging'],
'fabric_item':['duvet cover','coat','skirt','pair of trousers','pair of pants',
'bandana'],
'fabric_question':['What is your favourite fabric?',
'What is your favourite fabric?',
'What is your favourite fabric?',
'What was your first #fabric_item# made of?',
'What was your first #fabric_item# made out of?',
'Of what fabric was your first #fabric_item# made?']
})
qg.add_modifiers(modifiers.base_english)
# In[6]:
def add_religion(grammar, name, data):
decorated_name = 'religion_{0}'.format(name)
if isinstance(data, str):
return data
elif isinstance(data, list):
rule = [add_religion(grammar, '{0}_{1}'.format(name,i), x)
for (i, x) in enumerate(data)]
grammar.push_rules(decorated_name, rule)
return decorated_name
elif isinstance(data, dict):
rule = [k if len(v) == 0 else
'#{0}#'.format(add_religion(grammar, k, v))
for (k,v) in data.items()]
grammar.push_rules(decorated_name, rule)
return decorated_name
rg = Grammar({})
add_religion(rg, 'all',
{'Atheism':{},
'Agnosticism':{},
'Theism':{'all_other':pycorpora.religion.religions,
'Christianity':{},
'Islam':{},
'Hinduism':{},
'Buddhism':{},
'Sikhism':{},
'Judaism':{}}})
# In[7]:
mg = Grammar({})
for planetish in pycorpora.science.planets['planets']:
if len(planetish['moons']) > 0:
mg.push_rules('{0}_moon'.format(planetish['name']),planetish['moons'])
mg.push_rules('moon',['#{0}_moon#'.format(planetish['name'])
for planetish in pycorpora.science.planets['planets']
if len(planetish['moons']) > 0])
# In[8]:
questions = [
Question('first_name',
lambda:qg.flatten('What is your #first_name_noun#?'),
lambda:qg.flatten('#first_name#'),
()),
Question('last_name',
lambda:qg.flatten('What is your #last_name_noun#?'),
lambda:qg.flatten('#last_name#'),
()),
Question('title',
lambda:qg.flatten('What is your #title_noun#?'),
lambda:qg.flatten('#title#'),
()),
Question('first_last_name',
lambda:qg.flatten('What is your #first_name_noun# and #last_name_noun#?'),
lambda:qg.flatten('#first_name# #last_name#'),
('first_name', 'last_name')),
Question('full_name',
lambda:qg.flatten('What is your full name?'),
lambda:qg.flatten('#full_name#'),
('first_name','last_name')),
Question('title_last_name',
lambda:qg.flatten('What is your #title_noun# and #last_name_noun#?'),
lambda:qg.flatten('#title# #last_name#'),
('title','last_name')),
Question('title_full_name',
lambda:qg.flatten('What is your #title_noun# and full name?'),
lambda:qg.flatten('#title# #full_name#'),
('title', 'first_name', 'last_name')),
Question('pronouns',
lambda:qg.flatten('What are your pronouns?'),
lambda:qg.flatten('#pronouns#'),
()),
Question('birthday_presents',
lambda:qg.flatten('What did you #receive_verb# for your #low_ordinal_number# birthday?'),
lambda:qg.flatten('#object_collection.capitalize#'),
()),
Question('cheese',
lambda:qg.flatten('What is your favourite #cheese_noun#?'),
lambda:random.choice(pycorpora.foods.curds['curds']).capitalize(),
()),
Question('fruit',
lambda:qg.flatten('What is your favourite fruit?'),
lambda:random.choice(pycorpora.foods.fruits['fruits']).capitalize(),
('vegetable',)),
Question('vegetable',
lambda:qg.flatten('What is your favourite vegetable?'),
lambda:random.choice(pycorpora.foods.vegetables['vegetables']).capitalize(),
()),
Question('sandwich',
lambda:qg.flatten('What is your favourite type of sandwich?'),
lambda:random.choice(pycorpora.foods.sandwiches['sandwiches'])['name'].capitalize(),
('bread',)),
Question('bread',
lambda:qg.flatten('What is your favourite type of bread?'),
lambda:random.choice(pycorpora.foods.breads_and_pastries['breads']).capitalize(),
()),
Question('pastry',
lambda:qg.flatten('What is your favourite type of pastry?'),
lambda:random.choice(pycorpora.foods.breads_and_pastries['pastries']).capitalize(),
('bread',)),
Question('pokemon',
lambda:qg.flatten('What was the first Pokémon you caught?'),
lambda:random.choice(pycorpora.games.pokemon['pokemon'])['name'],
('game',)),
Question('wrestling',
lambda:qg.flatten('What is your favourite professional wrestling move?'),
lambda:random.choice(pycorpora.games.wrestling_moves['moves']).capitalize(),
('game',)),
Question('cluedo',
lambda:qg.flatten('What is your favourite Clue#[x:do]maybe_x# murder?'),
lambda:qg.flatten('#cluedo#'),
('game',)),
Question('pet',
lambda:qg.flatten('What was your first pet?'),
lambda:qg.flatten('#pet#'),
()),
Question('dinosaur',
lambda:qg.flatten('What is your favourite dinosaur?'),
lambda:random.choice(pycorpora.animals.dinosaurs['dinosaurs']),
('pet',)),
Question('room',
lambda:qg.flatten('#room_question#'),
lambda:qg.flatten('#room_answer#'),
()),
Question('ism',
lambda:"What is your favourite style of modern art?",
lambda:random.choice(pycorpora.art.isms['isms']).title(),
('art',)),
Question('colour',
lambda:"What is your favourite colour?",
lambda:random.choice(pycorpora.colors.xkcd['colors'])['color'].capitalize(),
('art',)),
Question('firework',
lambda:"What is your favourite firework?",
lambda:random.choice(pycorpora.technology.fireworks['effects']).capitalize(),
('art',)),
Question('knot',
lambda:"What is your favourite knot?",
lambda:random.choice(pycorpora.technology.knots['knots']).capitalize(),
('art',)),
Question('car',
lambda:"Who was the manufacturer of your first car?",
lambda:random.choice(pycorpora.corporations.cars['cars']),
('technology',)),
Question('lisp',
lambda:"What is your favourite dialect of LISP?",
lambda:random.choice(pycorpora.technology.lisp['lisps']),
('technology','geek')),
Question('technology',
lambda:qg.flatten("What is your favourite #new_or_emerging# technology?"),
lambda:random.choice(pycorpora.technology.new_technologies['technologies']).capitalize(),
('technology','geek',)),
Question('programming',
lambda:'What was the first programming language you learned?',
lambda:random.choice(pycorpora.technology.programming_languages),
('technology','geek')),
Question('fabric',
lambda:qg.flatten('#fabric_question#'),
lambda:random.choice(pycorpora.materials.fabrics['fabrics']).capitalize(),
()),
Question('gem',
lambda:"What is your favourite gemstone?",
lambda:random.choice(pycorpora.materials.gemstones['gemstones']).capitalize(),
()),
Question('fluid',
lambda:"What was the first bodily fluid you had to flush down the toilet?",
lambda:random.choice(pycorpora.materials.get_file('abridged-body-fluids')['abridged body fluids']).capitalize(),
()),
Question('building',
lambda:"What material was the house you grew up in built from?",
lambda:random.choice(pycorpora.materials.get_file('building-materials')['building materials']).capitalize(),
()),
Question('prime',
lambda:'What is your favourite prime number?',
lambda:str(random.choice(pycorpora.mathematics.primes['primes'][:random.randint(1,999)])),
('maths','geek')),
Question('author',
lambda:'Who is your favourite author?',
lambda:random.choice(pycorpora.humans.authors['authors']),
()),
Question('job',
lambda:'What is your current occupation?',
lambda:random.choice(pycorpora.humans.occupations['occupations']).capitalize(),
()),
Question('tv',
lambda:'What is your favourite TV show?',
lambda:random.choice(getattr(pycorpora,'film-tv').tv_shows['tv_shows']),
()),
Question('music',
lambda:'What is your favourite style of music?',
lambda:random.choice(pycorpora.music.genres['genres']),
()),
Question('greek',
lambda:'Which figure in Greek mythology do you most identify with?',
lambda:qg.flatten('#greek_whatever#'),
()),
Question('flower',
lambda:'What is your favourite flower?',
lambda:random.choice(pycorpora.plants.flowers['flowers']).capitalize(),
()),
Question('religion',
lambda:'What is your religion?',
lambda:rg.flatten('#religion_all#'),
()),
Question('saint',
lambda:'Who is your favourite Christian saint?',
lambda:qg.flatten('#saint#'),
()),
Question('element',
lambda:'What is your favourite chemical element?',
lambda:random.choice(pycorpora.science.elements['elements'])['name'],
('geek',)),
Question('minor_planet',
lambda:'What is your favourite minor planet?',
lambda:random.choice(pycorpora.science.minor_planets['minor_planets']),
('geek','astronomy')),
Question('planet',
lambda:'What is your favourite planet?',
lambda:random.choice(['Mercury','Venus','Earth','Mars',
'Jupiter','Saturn','Uranus','Neptune']),
('astronomy')),
Question('moon',
lambda:'What is your favourite moon?',
lambda:mg.flatten('#moon#'),
('astronomy','geek')),
Question('headline',
lambda:'What was the front page headline on the day you were born?',
lambda:random.choice(pycorpora.words.crash_blossoms['crash_blossoms']),
('birth',)),
Question('street',
lambda:'What was the name of the street you grew up on?',
lambda:qg.flatten('#street#').title(),
()),
]