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This module consolidates possible phrases that links to specific skill.
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Also it contains +link_to+ function that returns phrase to link to specific skill
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from copy import deepcopy
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from random import choice, choices
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from common import utils # Importing before skills to avoid circular import
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import common.animals as dff_animals_skill
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import common.books as books
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import common.emotion as emotion
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import common.food as dff_food_skill
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import common.game_cooperative_skill as game_cooperative_skill
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import common.gaming as dff_gaming_skill
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import common.movies as movies
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import common.music as dff_music_skill
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import common.news as news
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import common.personal_info as personal_info
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import common.science as dff_science_skill
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import common.sport as dff_sport_skill
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import common.travel as dff_travel_skill
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from common.constants import CAN_CONTINUE_SCENARIO, CAN_NOT_CONTINUE, CAN_CONTINUE_PROMPT, MUST_CONTINUE
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from common.response_selection import COMPLETELY_CHANGING_THE_SUBJECT_PHRASES, CHANGE_TOPIC_SUBJECT, BY_THE_WAY
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# Each common skill module should define +skill_trigger_phrases()+ function
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# that contains all phrases to trigger specific skill
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# 'book_skill': set(books.skill_trigger_phrases()),
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"news_api_skill": set(news.skill_trigger_phrases()),
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"dff_movie_skill": set(movies.skill_trigger_phrases()),
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"dff_book_skill": set(books.skill_trigger_phrases()),
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"emotion_skill": set(emotion.skill_trigger_phrases()),
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"personal_info_skill": set(personal_info.skill_trigger_phrases()),
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"game_cooperative_skill": set(game_cooperative_skill.skill_trigger_phrases()),
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# TODO: Add smalltalk skill phrases that is not identical to meta_script_skill
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"dff_travel_skill": set(dff_travel_skill.skill_trigger_phrases()),
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"dff_animals_skill": set(dff_animals_skill.skill_trigger_phrases()),
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# 'dff_celebrity_skill': set(dff_celebrity_skill.skill_trigger_phrases()),
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# 'dff_gossip_skill': set(dff_gossip_skill.skill_trigger_phrases()),
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"dff_food_skill": set(dff_food_skill.skill_trigger_phrases()),
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"dff_science_skill": set(dff_science_skill.skill_trigger_phrases()),
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"dff_sport_skill": set(dff_sport_skill.skill_trigger_phrases()),
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"dff_music_skill": set(dff_music_skill.skill_trigger_phrases()),
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"dff_gaming_skill": set(dff_gaming_skill.skill_trigger_phrases()),
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# TODO: adding new skill above, add here a conversational topic to the list, it will be used to offer topic in greeting
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LIST_OF_SCRIPTED_TOPICS = {53
"dff_book_skill": "books",
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"news_api_skill": "news",
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"dff_animals_skill": "pets",
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# "dff_celebrity_skill": "celebrities"
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"dff_food_skill": "food",
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"dff_gaming_skill": "games",
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# "dff_gossip_skill": "gossips",
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"dff_movie_skill": "movies",
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"dff_music_skill": "music",
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"dff_science_skill": "science",
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"dff_sport_skill": "sport",
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"dff_travel_skill": "travel",
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"game_cooperative_skill": "games",
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SKILLS_FOR_LINKING = set(skills_phrases_map.keys())
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"personal_info_skill",
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SKILLS_TO_BE_LINKED_EXCEPT_LOW_RATED = set(skills_phrases_map.keys()).difference(LOW_RATED_SKILLS)
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# assuming that all skills weights are equal to 1 by default
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# it is used to control amount of link_to phrases to specific skills
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skills_link_to_weights = {79
"dff_coronavirus_skill": 0.25,
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link_to_skill2key_words = {83
"dff_movie_skill": ["movie"],
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"dff_book_skill": ["book"],
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"game_cooperative_skill": ["game"],
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# 'dff_gaming_skill': ["game"], # TODO: add when will be merged
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"dff_travel_skill": ["travel"],
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"dff_animals_skill": ["animal"],
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"dff_food_skill": ["food"],
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"dff_sport_skill": ["sport"],
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# "dff_gossip_skill": ["gossips"],
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"dff_science_skill": ["science"],
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"dff_music_skill": ["music"],
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link_to_skill2i_like_to_talk = {98
"I'm choosing what book should I read next. What is the last book you have ever read?",
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"I have just read once again my favourite book. What is the last book you have ever read?",
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"dff_animals_skill": [
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"I think that pets are a great source of entertainment. Do you have pets at home?",
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"We all know that pets are remarkable for their capacity to love. Do you have pets at home?",
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"dff_gaming_skill": [
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"Other bots told me that during the pandemic video games became more popular. "
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"What video game do you play these days?",
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"One person I talked to told me that working in game dev is very hard. They toil at nights and weekends until "
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"their product becomes a masterpiece. What was the last game that impressed you?",
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"dff_gossip_skill": [
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"What really puzzles me about people is this habit of discussing interpersonal relations, be that about "
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"friends or famous people. Speaking of famous people, is there someone whom you're interested in?",
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"I don't usually talk about other people but famous ones often highlight the best and the worst about "
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"humanity. I wonder if there's someone famous you're interested in?",
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"It is said that the best food in the world comes from your own country. "
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"What are some typical foods from your home country?",
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"It is said that the best food in the world comes from your own country. "
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"If you were to move abroad what would you miss most foodwise?",
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"The world's first breakfast cereal was created in 1863 and needed soaking overnight to be chewable. "
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"What is your typical breakfast?",
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"I felt so bored last days, so I've just finished to watch one more series. What TV series you watch?",
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"I feel so sleepy because I watched movies all night. What is the last movie you watched?",
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"There are so many new songs released every day. I've listened music for all night. So cool! "
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"Liked everything! What music do you listen usually?",
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"I listen to music every day either to calm down or to cheer myself up. "
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"What music do you listen to cheer yourself up?",
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"I listen to music every day either to calm down or to cheer myself up. "
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"What music do you listen to calm down?",
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"dff_science_skill": [
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"When I start to feel sad, I think about what humanity has achieved and it inspires me. "
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"Do you often think about achievements in science?",
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"Scientists find such beautiful solutions in science. "
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"Are you inspired by the speed with which science is developing?",
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"I think that sports are great for toning up the body. What kind of sport do you like to do?",
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"I think that in order for the body to always be healthy, we need to go in for sports. What sport do you do?",
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"I often thought about what kind of sport I would play, so I want to ask you. What kind of sport do you enjoy?",
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"dff_travel_skill": [
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"I'm choosing the direction for my next digital trip. What country would you like to travel next time?",
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"I've recently stuck on travel web-site. And I’ve read so many interesting travel stories. "
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"What city did you travel last time?",
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"game_cooperative_skill": [
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"Computer games are fantastic. Their virtual worlds help me to escape my prosaic ordinary life in the cloud. "
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"do you love video games?",
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"Video games are my way to escape and thrive. do you love video games?",
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"I've never been to school, I've learned everything online. Do you want to talk about school?",
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"Yesterday I was watching several movies about superheroes. It captured all my imagination. "
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"Would you like to talk about superheroes?",
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"space": "Have you ever thought about flights to other planets?",
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"smartphones": "Nowadays it is impossible to imagine world without gadgets. "
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"Do you have an iPhone or Android phone?",
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"bitcoin": "Cryptocurrencies let you buy goods and services, or trade them for profit. "
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"Would you like to know more about bitcoin?",
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"dinosaurs": "Dinosaurs are a group of reptiles that have lived on Earth for about 245 million "
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"years. Are you interested in dinosaurs?",
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"robots": "Robotics technology influences every aspect of work and home. "
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"Would you like to know more about robots?",
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"cars": "Cars are an easy and convenient mean of transportation. Do you have a car?",
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"hiking": "Hiking is one of the most beneficial and healthy hobbies anyone could choose to adopt. "
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"Do you like hiking?",
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"art": "Art is a good way to express feelings. Would you like to talk about art?",
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"drawing": "Drawing gives you a mean to self-reflect and externalize your emotions." "Do you like drawing?",
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"photo": "In our increasingly busy lives it’s difficult to always be in the moment."
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"Taking pictures helps you to hang on to those memories a little longer."
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"Do you like taking photographs?",
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"memes": "Memes are funny artworks we can see on the Internet. Do you like memes?",
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"tiktok": "TikTok is known for its funny lip-syncing videos. Have you shot a video for tiktok?",
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"anime": "Anime is hand-drawn and computer animation originating from Japan. Do you like anime?",
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"friends": "A friend at hand is better than a relative at a distance. Do you have any friends?",
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"love": "I have a lot of friends but as a socialbot I can not fall in love with someone. Although, "
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"I've heard this is an amazing feeling. Are you in relationships with someone?",
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"hobbies": "Success is not the key to happiness. Happiness is the key to success. "
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"If you love what you are doing, you will be successful. Do you have any hobbies?",
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"politics": "I've recently learned how many different political views in our world. "
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"Are you interested in politics?",
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def link_to(skills, human_attributes, recent_active_skills=None):
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Returns random skill and phrase from skills_phrases_map.
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Use it to add link to specific skill in your phrase.
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Array of skills, used in +skills_phrases_map+
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human_attributes : dict
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where used_links is a dict where:
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Key is skill_name, value is used links phrases.
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Pass it to prevent selecting identical phrases.
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It will try to link_to skills that were not linked before.
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recent_active_skills: list or set of recently used skills not to link to them
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recent_active_skills = [] if recent_active_skills is None else recent_active_skills
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used_links = human_attributes.get("used_links", {})216
disliked_skills = human_attributes.get("disliked_skills", [])218
filtered_phrases_map = deepcopy(skills_phrases_map)
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filtered_skills = set(deepcopy(skills))
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for skill_name, phrases in used_links.items():
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if skill_name in skills_phrases_map:
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filtered_phrases_map[skill_name] = skills_phrases_map[skill_name].difference(set(phrases))
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filtered_skills.discard(skill_name)
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# all skills were linked before, use original list of skills
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if len(filtered_skills) == 0:
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filtered_skills = set(deepcopy(skills))
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filtered_skills = set(filtered_skills).difference(set(recent_active_skills))
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# all skills among available were active recently, use original list of skills
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if len(filtered_skills) == 0:
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filtered_skills = set(deepcopy(skills))
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filtered_skills = set(filtered_skills).difference(set(disliked_skills))
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# all skills among available are disliked, use original list of skills
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if len(filtered_skills) == 0:
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filtered_skills = set(deepcopy(skills))
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# remove from filtered skills all skills which links all were used before.
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for skill_name, phrases in used_links.items():
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if skill_name in skills_phrases_map:
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if len(filtered_phrases_map[skill_name]) == 0:
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filtered_skills.discard(skill_name)
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skills_weights = [skills_link_to_weights.get(s, 1.0) for s in filtered_skills]
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random_skill = choices(list(filtered_skills), weights=skills_weights, k=1)[0]
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# unreal situation if `skills` is not empty list, but let's make it
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skills = list(skills)
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skills_weights = [skills_link_to_weights.get(s, 1.0) for s in skills]
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random_skill = choices(skills, weights=skills_weights, k=1)[0]
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filtered_phrases = list(filtered_phrases_map[random_skill])
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random_phrase = choice(filtered_phrases)
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random_phrase = choice(list(skills_phrases_map[random_skill]))
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return {"phrase": random_phrase, "skill": random_skill}262
def skill_was_linked(skill_name, prev_bot_utt):
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for phrase in skills_phrases_map.get(skill_name, []):
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if phrase.lower() in prev_bot_utt.get("text", "").lower():269
def get_all_linked_to_skills(prev_bot_utt):
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for skill_name in skills_phrases_map:
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if skill_was_linked(skill_name, prev_bot_utt):
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skills.append(skill_name)
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prelinkto_connection_phrases_file = pathlib.Path(__file__).resolve().parent / "prelinkto_connection_phrases.json"
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PRELINKTO_CONNECTION_PHRASES = json.load(prelinkto_connection_phrases_file.open())
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prelinkto_topic_phrases_file = pathlib.Path(__file__).resolve().parent / "prelinkto_topic_phrases.json"
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PRELINKTO_TOPIC_PHRASES = json.load(prelinkto_topic_phrases_file.open())
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def get_prelinkto_connection(from_skill, to_skill, used_templates):
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skill_pair = sorted([from_skill, to_skill])
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for el in PRELINKTO_CONNECTION_PHRASES:
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if el.get("skill_pair") == skill_pair and el.get("phrases"):289
return utils.get_not_used_template(used_templates, el["phrases"])
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def get_prelinkto_topic_connection(to_skill, used_templates):
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if to_skill in PRELINKTO_TOPIC_PHRASES:
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return utils.get_not_used_template(used_templates, PRELINKTO_TOPIC_PHRASES[to_skill])
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def compose_linkto_with_connection_phrase(skills, human_attributes, recent_active_skills=None, from_skill=None):
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from_skill = "" if from_skill is None else from_skill
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linkto_dict = link_to(skills, human_attributes, recent_active_skills)
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connection = get_prelinkto_connection(
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from_skill, linkto_dict["skill"], human_attributes.get("prelinkto_connections", [])306
connection = get_prelinkto_topic_connection(
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linkto_dict["skill"], human_attributes.get("prelinkto_connections", [])311
# not found prelinkto connection phrase AND not found prelinkto topic phrase
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connection = utils.get_not_used_template(
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human_attributes.get("prelinkto_connections", []), COMPLETELY_CHANGING_THE_SUBJECT_PHRASES316
result = f"{connection} {linkto_dict['phrase']}"318
# we have prelinkto connection phrase OR prelinkto topic phrase
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change_topic = choice(CHANGE_TOPIC_SUBJECT).replace(
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"SUBJECT", LIST_OF_SCRIPTED_TOPICS.get(linkto_dict["skill"], "it")
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result = f"{choice(BY_THE_WAY)} {connection} {change_topic} {linkto_dict['phrase']}"323
return {"phrase": result, "skill": linkto_dict["skill"], "connection_phrase": connection}326
def get_linked_to_dff_skills(dff_shared_state, current_turn, prev_active_skill):
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"""Collect the skill names to turn on (actually this should be the only skill because active skill is the only)
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which were linked to from one dff-skill to another one.
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list of skill names to turn on
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for to_skill in dff_shared_state.get("cross_links", {}).keys():335
cross_links = dff_shared_state.get("cross_links", {})[to_skill]337
cross_links.get(str(current_turn - 1), {}).get("from_service", "") == prev_active_skill338
or cross_links.get(str(current_turn - 2), {}).get("from_service", "") == prev_active_skill340
to_skills.append(to_skill)
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def get_linked_to_skills(dialog):
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# return skills linked to in the previous bot utterance (of course, it's the only one skill)
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bot_uttr = dialog["bot_utterances"][-1] if len(dialog["bot_utterances"]) else {}349
linked_to_skill_names = get_all_linked_to_skills(bot_uttr)
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prev_active_skill = bot_uttr.get("active_skill", "")353
for skill_name in linked_to_skill_names:
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result.append(skill_name)
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get_linked_to_dff_skills(
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dialog["human"]["attributes"].get("dff_shared_state", {}),358
len(dialog["human_utterances"]),
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def get_previously_active_skill(dialog):
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# return prev active skill if it returned not `CAN_NOT_CONTINUE`
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prev_user_uttr_hyp = dialog["human_utterances"][-2]["hypotheses"] if len(dialog["human_utterances"]) > 1 else []
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bot_uttr = dialog["bot_utterances"][-1] if len(dialog["bot_utterances"]) else {}370
prev_active_skill = bot_uttr.get("active_skill", "")373
for hyp in prev_user_uttr_hyp:
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if hyp.get("can_continue", CAN_NOT_CONTINUE) in {375
CAN_CONTINUE_SCENARIO,
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if hyp["skill_name"] == prev_active_skill:
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result.append(hyp["skill_name"])