def check_game_name_with_user_response(vars):
logger.info(f"check_game_name_with_user_response")
igdb_game_description, _ = game_info.search_igdb_game_description_by_user_and_bot_phrases(
vars)
if igdb_game_description is not None:
logger.info(
f"(user_wants_to_talk_about_particular_game_request)saving candidate id to shared memory"
)
state_utils.save_to_shared_memory(
vars, candidate_game_id=igdb_game_description["id"])
shared_memory = state_utils.get_shared_memory(vars)
logger.info(
f"(check_game_name_with_user_response)shared_memory: {shared_memory.keys()}"
)
response = f"Would you like to talk about the video game {igdb_game_description['name']}?"
state_utils.set_confidence(vars,
confidence=common_nlg.CONF_092_CAN_CONTINUE)
state_utils.set_can_continue(
vars, continue_flag=common_constants.CAN_CONTINUE_SCENARIO)
else:
response = ""
state_utils.set_confidence(vars, confidence=common_nlg.CONF_0)
state_utils.set_can_continue(
vars, continue_flag=common_constants.CAN_NOT_CONTINUE)
return response
def fast_food_response(vars):
try:
shared_memory = state_utils.get_shared_memory(vars)
used_facts = shared_memory.get("fast_food_facts", [])
unused_facts = [i for i in FAST_FOOD_FACTS if i not in used_facts]
used_questions = shared_memory.get("fast_food_questions", [])
unused_questions = [
i for i in FAST_FOOD_QUESTIONS if i not in used_questions
]
fact = ""
question = ""
if unused_facts:
fact = random.choice(unused_facts)
state_utils.save_to_shared_memory(vars,
fast_food_facts=used_facts +
[fact])
if unused_questions:
question = random.choice(unused_questions)
state_utils.save_to_shared_memory(
vars, fast_food_questions=used_questions + [question])
if fact and question:
state_utils.set_confidence(vars, confidence=CONF_MIDDLE)
state_utils.set_can_continue(vars,
continue_flag=CAN_CONTINUE_PROMPT)
return f"I just found out that {fact} {question}"
else:
state_utils.set_can_continue(vars, continue_flag=CAN_NOT_CONTINUE)
return error_response(vars)
except Exception as exc:
logger.exception(exc)
sentry_sdk.capture_exception(exc)
return error_response(vars)
def retrieve_and_save_name(vars):
user_text = state_utils.get_last_human_utterance(vars)["text"]
shared_memory = state_utils.get_shared_memory(vars)
annotations = state_utils.get_last_human_utterance(vars)["annotations"]
ner = annotations.get("ner", [])
users_pet_breed = shared_memory.get("users_pet_breed", "")
found_name = ""
for entities in ner:
if entities:
for entity in entities:
if entity.get("type", "") == "PER":
found_name = entity["text"]
if not found_name:
fnd = re.findall(
r"(name is |named |called |call him |call her )([a-z]+)\b",
user_text)
if fnd:
found_name = fnd[0][1]
if (found_name and not shared_memory.get("users_pet_name", "")
and found_name
not in {"black", "white", "grey", "brown", "yellow", "cat", "dog"}
and found_name not in users_pet_breed):
state_utils.save_to_shared_memory(vars, users_pet_name=found_name)
return found_name
def animal_questions_request(ngrams, vars):
flag = False
user_uttr = state_utils.get_last_human_utterance(vars)
annotations = state_utils.get_last_human_utterance(vars)["annotations"]
found_animal = find_entity_by_types(annotations, {"Q55983715", "Q16521"})
found_animal_cnet = find_entity_conceptnet(annotations, ["animal"])
found_animal_in_list = find_in_animals_list(annotations)
shared_memory = state_utils.get_shared_memory(vars)
users_wild_animal = shared_memory.get("users_wild_animal", "")
found_pet = re.findall(PETS_TEMPLATE, user_uttr["text"])
found_bird = re.findall(r"(\bbird\b|\bbirds\b)", user_uttr["text"])
used_wild_q = shared_memory.get("used_wild_q", [])
all_facts_used = len(used_wild_q) == len(WILD_ANIMALS_Q)
if (
not found_pet
and (
found_bird
or users_wild_animal
or (found_animal and found_animal not in ANIMAL_BADLIST)
or found_animal_in_list
or found_animal_cnet
)
and not all_facts_used
):
flag = True
logger.info(f"animal_questions_request, found_animal {found_animal} users_wild_animal {users_wild_animal}")
logger.info(f"animal_questions_request={flag}")
return flag
def more_facts_request(ngrams, vars):
shared_memory = state_utils.get_shared_memory(vars)
used_facts = shared_memory.get("used_facts", [])
flag = all([bool(len(used_facts)), condition_utils.no_special_switch_off_requests(vars), yes_request(ngrams, vars)])
logger.info(f"more_facts_request {flag}")
return flag
def choose_pet_phrase(vars, found_users_pet):
shared_memory = state_utils.get_shared_memory(vars)
used_cats_dogs_phrases_num = shared_memory.get("used_cats_dogs_phrases",
{})
new_used_cats_dog_phrases_num = used_cats_dogs_phrases_num
cand_phrases = CATS_DOGS_PHRASES[found_users_pet]
if used_cats_dogs_phrases_num and found_users_pet in used_cats_dogs_phrases_num:
used_phrases_num = used_cats_dogs_phrases_num[found_users_pet]
if len(used_phrases_num) < len(cand_phrases):
while True:
cand_phrase_num = random.randint(0, len(cand_phrases) - 1)
if cand_phrase_num not in used_phrases_num:
break
else:
cand_phrase_num = random.randint(0, len(cand_phrases) - 1)
if cand_phrase_num not in used_phrases_num:
new_used_cats_dog_phrases_num[found_users_pet].append(
cand_phrase_num)
else:
cand_phrase_num = random.randint(0, len(cand_phrases) - 1)
new_used_cats_dog_phrases_num[found_users_pet] = [cand_phrase_num]
pet_phrase = cand_phrases[cand_phrase_num]
state_utils.save_to_shared_memory(
vars, used_cats_dogs_phrases=new_used_cats_dog_phrases_num)
return pet_phrase
def bot_will_give_another_how_to_request(ngrams, vars):
flag = (common_intents.user_says_yes_request(
ngrams, vars) and len(MINECRAFT_HOW_TOS) - len(
state_utils.get_shared_memory(vars).get("used_how_to_indices", []))
>= 1)
logger.info(f"bot_will_give_another_how_to={flag}")
return flag
def my_pet_request(ngrams, vars):
flag = False
user_uttr = state_utils.get_last_human_utterance(vars)
bot_uttr = state_utils.get_last_bot_utterance(vars)
prev_active_skill = bot_uttr.get("active_skill", "")
dontlike = re.findall(r"(do not like |don't like |hate )(cat|dog)", user_uttr["text"])
isno = is_no(user_uttr)
shared_memory = state_utils.get_shared_memory(vars)
my_pet = shared_memory.get("my_pet", "")
all_facts_used = False
start_using_facts = False
if my_pet:
used_facts = shared_memory.get("used_facts", {}).get(my_pet, [])
all_facts = MY_PET_FACTS[my_pet]
if len(all_facts) == len(used_facts):
all_facts_used = True
if len(used_facts) > 0:
start_using_facts = True
about_users_pet = if_about_users_pet(ngrams, vars)
if not about_users_pet and my_pet and not dontlike and not all_facts_used:
flag = True
if start_using_facts and prev_active_skill != "dff_animals_skill":
flag = False
if re.findall(r"(would you like|can tell you more)", bot_uttr["text"], re.IGNORECASE) and isno:
flag = False
logger.info(f"my_pet_request={flag}")
return flag
def factoid_q_request(ngrams, vars):
flag = False
shared_memory = state_utils.get_shared_memory(vars)
user_uttr = state_utils.get_last_human_utterance(vars)
bot_uttr = state_utils.get_last_bot_utterance(vars)
user_more_details = re.findall(COMPILE_LETS_TALK, user_uttr["text"])
user_annotations = user_uttr["annotations"]
is_factoid = False
factoid_cl = user_annotations.get("factoid_classification", {})
if factoid_cl and factoid_cl["factoid"] > factoid_cl["conversational"]:
is_factoid = True
bot_text = bot_uttr["text"].lower()
sentences = nltk.sent_tokenize(bot_text)
if len(sentences) > 1:
sentences = [
sentence for sentence in sentences if not sentence.endswith("?")
]
bot_text = " ".join(sentences)
nounphrases = user_annotations.get("spacy_nounphrases", [])
found_nounphr = any([nounphrase in bot_text for nounphrase in nounphrases])
logger.info(
f"factoid_q_request, is_factoid {is_factoid} user_more_details {user_more_details} "
f"nounphrases {nounphrases} bot_text {bot_text}")
started = shared_memory.get("start", False)
if is_factoid and not user_more_details and found_nounphr and started:
flag = True
logger.info(f"factoid_q_request={flag}")
return flag
def news_step_request(ngrams, vars):
flag = False
shared_memory = state_utils.get_shared_memory(vars)
started_news = shared_memory.get("started_news", "")
user_uttr = state_utils.get_last_human_utterance(vars)
bot_uttr = state_utils.get_last_bot_utterance(vars)
isno = is_no(state_utils.get_last_human_utterance(vars))
if_switch = switch_wiki_skill_on_news(user_uttr, bot_uttr)
news_memory = shared_memory.get("news_memory", [])
cur_news_title = shared_memory.get("news_title", "")
found_not_used_content = False
if cur_news_title:
title_num = -1
for n, elem in enumerate(news_memory):
if elem["title"] == cur_news_title:
for sentence_num, (sentence,
used_sent) in enumerate(elem["content"]):
if not used_sent:
found_not_used_content = True
title_num = n
if not found_not_used_content and -1 < title_num < len(news_memory) - 1:
found_not_used_content = True
logger.info(
f"news_step_request, started_news {started_news} if_switch {if_switch} "
f"cur_news_title {cur_news_title} found_not_used_content {found_not_used_content}"
)
if (not started_news and if_switch) or (started_news and cur_news_title
and found_not_used_content):
flag = True
if isno or "?" in user_uttr["text"]:
flag = False
logger.info(f"news_step_request={flag}")
return flag
def my_pet_response(vars):
shared_memory = state_utils.get_shared_memory(vars)
my_pet = shared_memory.get("my_pet", "")
make_my_pets_info(vars)
response = ""
continue_flag = common_constants.CAN_CONTINUE_SCENARIO
conf = CONF_2
if my_pet:
fact_dict = find_fact(vars, MY_PET_FACTS, my_pet)
fact = fact_dict.get("statement", "")
question = fact_dict.get("question", "")
answer, _, conf, continue_flag = answer_users_question(vars)
response = f"{answer} {fact} {question}".strip().replace(" ", " ")
if my_pet == "cat":
state_utils.save_to_shared_memory(vars, told_about_cat=True)
state_utils.save_to_shared_memory(vars, cat=True)
state_utils.save_to_shared_memory(vars, start_about_cat=False)
if my_pet == "dog":
state_utils.save_to_shared_memory(vars, told_about_dog=True)
state_utils.save_to_shared_memory(vars, dog=True)
state_utils.save_to_shared_memory(vars, start_about_dog=False)
state_utils.save_to_shared_memory(vars, start=True)
if response:
state_utils.set_confidence(vars, confidence=conf)
state_utils.set_can_continue(vars, continue_flag=continue_flag)
else:
state_utils.set_confidence(vars, confidence=CONF_4)
state_utils.set_can_continue(vars, continue_flag=common_constants.CAN_NOT_CONTINUE)
logger.info(f"my_pet_response: {response}")
return response
def wikihow_step_request(ngrams, vars):
flag = False
user_uttr = state_utils.get_last_human_utterance(vars)
isyes = is_yes(state_utils.get_last_human_utterance(vars))
shared_memory = state_utils.get_shared_memory(vars)
wikihow_article = shared_memory.get("wikihow_article", "")
prev_wikihow_title = shared_memory.get("prev_wikihow_title", "")
used_wikihow_titles = set(shared_memory.get("used_wikihow_titles", []))
logger.info(
f"wikihow_step_request, prev_wikihow_title {prev_wikihow_title} used_wikihow_titles "
f"{used_wikihow_titles}")
found_title = ""
if wikihow_article:
article_content = get_wikihow_content(wikihow_article)
if article_content:
all_page_titles = article_content.keys()
for title in all_page_titles:
if title not in used_wikihow_titles:
found_title = title
break
further = re.findall(r"(more|further|continue|follow)", user_uttr["text"],
re.IGNORECASE)
if found_title or prev_wikihow_title:
flag = True
if prev_wikihow_title and not (isyes or further):
flag = False
logger.info(f"wikihow_step_request={flag}")
return flag
def extract_and_save_wikipage(vars, save=False):
flag = False
user_uttr = state_utils.get_last_human_utterance(vars)
bot_uttr = state_utils.get_last_bot_utterance(vars)
shared_memory = state_utils.get_shared_memory(vars)
cur_facts = shared_memory.get("cur_facts", {})
for fact in cur_facts:
wikihow_page = fact.get("wikihow_page", "")
condition = fact["cond"]
checked = check_condition(condition, user_uttr, bot_uttr,
shared_memory)
if checked and wikihow_page:
flag = True
if save:
state_utils.save_to_shared_memory(
vars, cur_wikihow_page=wikihow_page)
state_utils.save_to_shared_memory(vars, cur_facts={})
break
wikipedia_page = fact.get("wikipedia_page", "")
condition = fact["cond"]
checked = check_condition(condition, user_uttr, bot_uttr,
shared_memory)
if checked and wikipedia_page:
flag = True
if save:
state_utils.save_to_shared_memory(
vars, cur_wikipedia_page=wikipedia_page)
state_utils.save_to_shared_memory(vars, cur_facts={})
break
return flag
def stop_animals_request(ngrams, vars):
flag = False
user_uttr = state_utils.get_last_human_utterance(vars)
shared_memory = state_utils.get_shared_memory(vars)
if stop_about_animals(user_uttr, shared_memory):
flag = True
logger.info(f"stop_animals_request={flag}")
return flag
def more_details_response(vars):
shared_memory = state_utils.get_shared_memory(vars)
used_titles = shared_memory.get("used_titles", [])
mentions_list = shared_memory.get("mentions", [])
curr_pages = shared_memory.get("curr_pages", [])
mention_pages_list = shared_memory.get("mention_pages", [])
mentions_dict = {}
for mention, mention_page in zip(mentions_list, mention_pages_list):
mentions_dict[mention] = mention_page
user_uttr = state_utils.get_last_human_utterance(vars)
annotations = user_uttr["annotations"]
nounphrases = annotations.get("spacy_nounphrases", [])
inters = list(set(nounphrases).intersection(set(mentions_list)))
found_entity_substr_list = []
found_entity_substr = inters[0]
found_entity_substr_list.append(found_entity_substr)
found_entity_types = []
new_page = False
curr_page = mentions_dict[found_entity_substr]
if curr_page:
curr_pages.append(curr_page)
new_page = True
logger.info(
f"more_details_response, found_entity_substr {found_entity_substr} curr_pages {curr_pages}"
)
page_content, main_pages = get_page_content(curr_page)
first_pars = page_content["first_par"]
facts_str, new_mentions_list, new_mention_pages_list = make_facts_str(
first_pars)
titles_q, titles_we_use, all_titles = get_titles(found_entity_substr,
found_entity_types,
page_content)
if not titles_we_use:
titles_we_use = list(
set(page_content.keys()).difference({"first_par"}))
logger.info(
f"all_titles {all_titles} titles_q {titles_q} titles_we_use {titles_we_use}"
)
chosen_title, chosen_page_title = choose_title(vars, all_titles,
titles_we_use, "", [],
curr_pages)
question = make_question(chosen_title, titles_q, found_entity_substr, [])
response = f"{facts_str} {question}"
response = response.strip()
if chosen_title:
used_titles.append(chosen_title)
save_wiki_vars(vars, found_entity_substr_list, curr_pages, chosen_title,
chosen_page_title, used_titles, [[]], new_page)
if response:
state_utils.set_confidence(vars, confidence=CONF_DICT["IN_SCENARIO"])
state_utils.set_can_continue(
vars, continue_flag=common_constants.CAN_CONTINUE_SCENARIO)
else:
state_utils.set_confidence(vars, confidence=CONF_DICT["UNDEFINED"])
state_utils.set_can_continue(
vars, continue_flag=common_constants.CAN_NOT_CONTINUE)
return response
def get_igdb_ids_for_games_user_wanted_to_discuss(vars, assert_not_empty=True):
shared_memory = state_utils.get_shared_memory(vars)
ids = shared_memory.get("igdb_ids_for_games_user_wanted_to_discuss", [])
if assert_not_empty:
assert ids, (
"Shared memory field 'igdb_game_ids_user_wanted_to_discuss' is empty. "
"If dff_gaming_skill reached state SYS_USER_CONFIRMS_GAME 'games_user_wanted_do_discuss' cannot be empty "
)
return ids
def to_travel_skill_request(ngrams, vars):
flag = False
shared_memory = state_utils.get_shared_memory(vars)
cuisine_discussed = shared_memory.get("cuisine", "")
if cuisine_discussed:
if cuisine_discussed in CUISINES_COUNTRIES:
flag = True
logger.info(f"to_travel_skill_request {flag}")
return flag
def genre_advice_response(vars):
try:
state_utils.set_confidence(vars, MUST_CONTINUE_CONFIDENCE)
state_utils.set_can_continue(vars, continue_flag=MUST_CONTINUE)
genre = state_utils.get_shared_memory(vars).get("genre", "pop")
if genre in ["pop", "80s", "70s"]:
return "Well, now you know it."
elif genre == "jazz":
return "Oh, you should definitely check them out, like, one hundred percent."
elif genre == "classic" or genre == "contemporary":
return "Well, I was worth trying. I guess it right most of the time."
elif genre == "electronic" or genre == "trance" or genre == "techno" or genre == "dance" or genre == "house":
return "What do you like then?"
elif genre == "hip hop" or genre == "rap":
return "That's ok, I can't do it either."
elif genre == "rock" or genre == "metal" or genre == "hardcore":
return "Well, now you know it."
elif genre == "children":
return "But do you like listening to it?"
elif genre == "folk":
return "Ok, I get it. I guess you have a more \
pretentious taste than I do."
elif genre == "reggae":
return "I've been confused for a long time, \
because they sound so alike to me!"
elif genre == "country":
return "Well, try to imagine Blue Ridge Mountains \
while listening to it. You will get what I mean."
elif genre == "alternative":
return "Oh, I really recommend you to know them better. \
That is some classic alternative in my opinion."
elif genre == "indie":
return "To me, that is crazy. Though they are not very popular in \
the United States, they even were an inspiration to Kurt Cobain."
elif genre == "all" or genre == "everything":
return 'You should check him out, especially "Space oddity". \
It is really something special. \
They even played it on a real Space Station!'
elif genre == "nineties":
return "Yea, I guess I share your opinion on that point."
elif genre == "eighties":
return "Yea, I guess I understand what you mean."
else:
return "Cool, I think I understand what you mean."
except Exception as exc:
logger.exception(exc)
sentry_sdk.capture_exception(exc)
state_utils.set_confidence(vars, CANNOT_CONTINUE_CONFIDENCE)
return error_response(vars)
def get_page_info(vars, function_type, where_to_find="current"):
shared_memory = state_utils.get_shared_memory(vars)
curr_pages = shared_memory.get("curr_pages", [])
found_entity_substr_list = shared_memory.get("found_entity_substr", [])
prev_title = shared_memory.get("prev_title", "")
prev_page_title = shared_memory.get("prev_page_title", "")
used_titles = shared_memory.get("used_titles", [])
found_entity_types_list = shared_memory.get("found_entity_types", [])
started = shared_memory.get("start", False)
was_prev_active = if_was_prev_active(vars)
logger.info(f"started {started}")
if function_type == "response" and curr_pages and found_entity_substr_list and found_entity_types_list:
page_content, _ = get_page_content(curr_pages[-1])
all_titles = find_all_titles([], page_content)
wants_more = if_wants_more(vars, all_titles)
logger.info(
f"deleting, function_type {function_type} wants_more {wants_more}")
if not wants_more:
curr_pages.pop()
found_entity_substr_list.pop()
found_entity_types_list.pop()
if not started or not was_prev_active:
curr_pages = []
found_entity_substr_list = []
found_entity_types_list = []
state_utils.save_to_shared_memory(vars, start=False)
new_page = shared_memory.get("new_page", False)
page_content_list = []
main_pages_list = []
if curr_pages:
for page in curr_pages[-2:]:
page_content, main_pages = get_page_content(page)
page_content_list.append(page_content)
main_pages_list.append(main_pages)
else:
found_entity_substr, _, found_entity_types = find_entity(
vars, where_to_find)
curr_page = get_page_title(vars, found_entity_substr)
if curr_page:
curr_pages.append(curr_page)
found_entity_substr_list.append(found_entity_substr)
found_entity_types_list.append(list(found_entity_types))
for page in curr_pages[-2:]:
page_content, main_pages = get_page_content(page)
page_content_list.append(page_content)
main_pages_list.append(main_pages)
return (
found_entity_substr_list,
prev_title,
prev_page_title,
found_entity_types_list,
used_titles,
curr_pages,
page_content_list,
main_pages_list,
new_page,
)
def wikihow_step_response(vars):
shared_memory = state_utils.get_shared_memory(vars)
wikihow_article = shared_memory.get("wikihow_article", "")
prev_wikihow_title = shared_memory.get("prev_wikihow_title", "")
used_wikihow_titles = shared_memory.get("used_wikihow_titles", [])
found_title = ""
facts_str = ""
question = ""
if wikihow_article:
article_content = get_wikihow_content(wikihow_article)
if article_content:
all_page_titles = article_content.keys()
for title in all_page_titles:
if title not in used_wikihow_titles and title != "intro":
found_title = title
break
if prev_wikihow_title:
paragraphs = article_content[prev_wikihow_title]
if paragraphs:
paragraph = paragraphs[0]
sentences = nltk.sent_tokenize(paragraph)
sentences_list = []
cur_len = 0
max_len = 50
for sentence in sentences:
words = nltk.word_tokenize(sentence)
if cur_len + len(words) < max_len:
sentences_list.append(sentence)
cur_len += len(words)
if sentences_list:
facts_str = " ".join(sentences_list)
logger.info(
f"wikihow_step_response, sentences_list {sentences_list} facts_str {facts_str}"
)
if found_title:
question = f"Would you like to know about {found_title.lower()}?"
logger.info(
f"wikihow_step_response found_title {found_title} prev_wikihow_title {prev_wikihow_title}"
)
response = f"{facts_str} {question}"
response = response.strip()
if found_title:
state_utils.save_to_shared_memory(vars, prev_wikihow_title=found_title)
used_wikihow_titles.append(found_title)
state_utils.save_to_shared_memory(
vars, used_wikihow_titles=used_wikihow_titles)
if response:
state_utils.set_confidence(vars, confidence=CONF_DICT["IN_SCENARIO"])
state_utils.set_can_continue(
vars, continue_flag=common_constants.CAN_CONTINUE_SCENARIO)
else:
state_utils.set_confidence(vars, confidence=CONF_DICT["UNDEFINED"])
state_utils.set_can_continue(
vars, continue_flag=common_constants.CAN_NOT_CONTINUE)
return response
def my_fav_story_response(vars):
try:
utt = state_utils.get_last_human_utterance(vars)["text"].lower()
shared_memory = state_utils.get_shared_memory(vars)
used_topics = shared_memory.get("used_topics", [])
name = ""
story = ""
question = ""
response = ""
for topic in FAV_STORIES_TOPICS:
if topic in utt:
name = FAV_STORIES_TOPICS.get(topic, "").get("name", "")
story = FAV_STORIES_TOPICS.get(topic, "").get("story", "")
question = FAV_STORIES_TOPICS.get(topic, "").get("question", "")
if name and (topic not in used_topics):
if topic == "weekdays":
response = f"{story} {question}"
else:
response = f"My favorite {topic} is {name}. {story} {question}"
if topic == "book":
state_utils.set_confidence(vars, confidence=CONF_LOW)
state_utils.set_can_continue(vars, continue_flag=CAN_CONTINUE_SCENARIO)
elif topic == "music" and "what kind of music do you like" in utt:
state_utils.set_confidence(vars, confidence=CONF_HIGH)
state_utils.set_can_continue(vars, continue_flag=MUST_CONTINUE)
elif topic == "music":
state_utils.set_confidence(vars, confidence=CONF_MIDDLE)
state_utils.set_can_continue(vars, continue_flag=CAN_CONTINUE_SCENARIO)
elif (topic == "game") and ("to play with" in utt):
state_utils.set_can_continue(vars, continue_flag=CAN_NOT_CONTINUE)
return error_response(vars)
else:
state_utils.set_confidence(vars, confidence=CONF_HIGH)
state_utils.set_can_continue(vars, continue_flag=MUST_CONTINUE)
state_utils.save_to_shared_memory(vars, used_topics=used_topics + [topic])
return response
else:
state_utils.set_can_continue(vars, continue_flag=CAN_NOT_CONTINUE)
return error_response(vars)
if not name and any(
[("my" not in utt) and ("favorite" in utt), re.search(YOUR_FAVORITE_COMPILED_PATTERN, utt)]
):
response = "Oh, I don't have one. What about you?"
state_utils.set_confidence(vars, confidence=CONF_MIDDLE)
state_utils.set_can_continue(vars, continue_flag=CAN_CONTINUE_SCENARIO)
else:
response = "I've never heard about it. Could you please tell me more about it?"
state_utils.set_confidence(vars, confidence=CONF_MIDDLE)
state_utils.set_can_continue(vars, continue_flag=CAN_NOT_CONTINUE)
return response
except Exception as exc:
logger.exception(exc)
sentry_sdk.capture_exception(exc)
state_utils.set_confidence(vars, 0)
return error_response(vars)
def check_switch(vars, topic_config):
user_uttr = state_utils.get_last_human_utterance(vars)
bot_uttr = state_utils.get_last_bot_utterance(vars)
shared_memory = state_utils.get_shared_memory(vars)
found_topic = shared_memory.get("special_topic", "")
first_utt = False
utt_can_continue = "can"
utt_conf = 0.0
shared_memory = state_utils.get_shared_memory(vars)
for topic in topic_config:
linkto = topic_config[topic].get("linkto", [])
for phrase in linkto:
if phrase.lower() in bot_uttr["text"].lower():
found_topic = topic
first_utt = True
break
pattern = topic_config[topic].get("pattern", "")
if pattern:
if if_chat_about_particular_topic(user_uttr,
bot_uttr,
compiled_pattern=pattern):
utt_can_continue = "must"
utt_conf = 1.0
found_topic = topic
first_utt = True
elif re.findall(pattern, user_uttr["text"]) and not found_topic:
utt_can_continue = "prompt"
utt_conf = 0.95
found_topic = topic
first_utt = True
switch_on = topic_config[topic].get("switch_on", [])
for switch_elem in switch_on:
condition = switch_elem["cond"]
if check_condition(condition, user_uttr, bot_uttr, shared_memory):
found_topic = topic
utt_can_continue = switch_elem.get("can_continue", "can")
utt_conf = switch_elem.get("conf", utt_conf)
first_utt = True
break
if found_topic:
break
return found_topic, first_utt, utt_can_continue, utt_conf
def wikihow_question_request(ngrams, vars):
flag = False
shared_memory = state_utils.get_shared_memory(vars)
curr_pages = shared_memory.get("curr_pages", [])
if not curr_pages:
found_entity_substr, _, found_entity_types = find_entity(
vars, "current")
if found_entity_substr and found_entity_substr in wikihowq_by_substr:
flag = True
logger.info(f"wikihow_question_request={flag}")
return flag
def if_facts_agree(vars):
flag = False
user_uttr = state_utils.get_last_human_utterance(vars)
bot_uttr = state_utils.get_last_bot_utterance(vars)
shared_memory = state_utils.get_shared_memory(vars)
cur_facts = shared_memory.get("cur_facts", {})
for fact in cur_facts:
condition = fact["cond"]
flag = check_condition(condition, user_uttr, bot_uttr, shared_memory)
if flag:
break
return flag
def animal_facts_request(ngrams, vars):
flag = False
shared_memory = state_utils.get_shared_memory(vars)
isno = is_no(state_utils.get_last_human_utterance(vars))
facts = shared_memory.get("wild_animal_facts", [])
used_wild_animal_facts = shared_memory.get("used_wild_animal_facts", [])
if facts and len(facts) > len(used_wild_animal_facts) and not isno:
flag = True
if len(used_wild_animal_facts) > 0 and isno:
flag = False
logger.info(f"animal_facts_request={flag}")
return flag
def my_pets_request(ngrams, vars):
flag = False
bot_uttr = state_utils.get_last_bot_utterance(vars)["text"]
isyes = is_yes(state_utils.get_last_human_utterance(vars))
shared_memory = state_utils.get_shared_memory(vars)
told_about_cat = shared_memory.get("told_about_cat", False)
told_about_dog = shared_memory.get("told_about_dog", False)
if "Would you like to learn more about my pets?" in bot_uttr and isyes and not (
told_about_cat and told_about_dog):
flag = True
logger.info(f"my_pets_request={flag}")
return flag
def is_wild_request(ngrams, vars):
flag = False
user_uttr = state_utils.get_last_human_utterance(vars)
text = user_uttr["text"]
annotations = user_uttr["annotations"]
shared_memory = state_utils.get_shared_memory(vars)
used_is_wild = shared_memory.get("is_wild", False)
if (not re.search(PETS_TEMPLATE, text) and not used_is_wild
and not if_linked_to_wiki_skill(annotations, "dff_animals_skill")):
flag = True
logger.info(f"is_wild_request={flag}")
return flag
def do_you_have_pets_request(ngrams, vars):
flag = False
shared_memory = state_utils.get_shared_memory(vars)
asked_have_pets = shared_memory.get("asked_have_pets", False)
user_uttr = state_utils.get_last_human_utterance(vars)
pet_in_uttr = re.findall(r"(\bpet\b|\bpets\b)", user_uttr["text"],
re.IGNORECASE)
found_badlist = re.findall(NOT_SWITCH_TEMPLATE, user_uttr["text"])
if (not found_badlist and pet_in_uttr and not asked_have_pets
and ("you" not in user_uttr["text"] or "my" in user_uttr["text"])):
flag = True
return flag
def mention_pets_request(ngrams, vars):
flag = False
text = state_utils.get_last_human_utterance(vars)["text"]
shared_memory = state_utils.get_shared_memory(vars)
started = shared_memory.get("start", False)
dont_like = re.findall(NOT_LIKE_PATTERN, text)
found_badlist = re.findall(NOT_SWITCH_TEMPLATE, text)
if re.search(PETS_TEMPLATE,
text) and not started and not dont_like and not found_badlist:
flag = True
logger.info(f"mention_pets_request={flag}")
return flag
def tell_how_to_and_ask_if_it_was_interesting_response(vars):
how_to_index = state_utils.get_shared_memory(vars).get(
"current_how_to_index")
assert how_to_index is not None, (
"The shared memory field `current_how_to_index` should have been filled on one "
"of previous turns")
state_utils.set_confidence(vars, confidence=common_nlg.CONF_1)
state_utils.set_can_continue(vars,
continue_flag=common_constants.MUST_CONTINUE)
shared_memory_ops.add_how_to_index_to_used_how_to_indices(
vars, how_to_index)
return MINECRAFT_HOW_TOS[how_to_index]["answer"] + " Was it interesting?"
