RESPONSE: "",
TRANSITIONS: {
"choose_story_node": cnd.all(
[
loc_cnd.is_tell_me_a_story,
loc_cnd.has_story_type,
loc_cnd.has_story_left,
]
),
"which_story_node": cnd.all([loc_cnd.is_tell_me_a_story, cnd.neg(loc_cnd.has_story_type)]),
},
},
"choose_story_node": {
RESPONSE: loc_rsp.choose_story,
TRANSITIONS: {
"tell_punchline_node": cnd.any([int_cnd.is_yes_vars, int_cnd.is_do_not_know_vars]),
"which_story_node": int_cnd.is_no_vars,
},
},
"which_story_node": {
RESPONSE: loc_rsp.which_story,
TRANSITIONS: {"choose_story_node": cnd.all([loc_cnd.has_story_type, loc_cnd.has_story_left])},
},
"tell_punchline_node": {
RESPONSE: loc_rsp.tell_punchline,
},
"fallback_node": {
RESPONSE: loc_rsp.fallback,
TRANSITIONS: {"which_story_node": cnd.all([loc_cnd.is_asked_for_a_story, int_cnd.is_yes_vars])},
},
},
cnd.neg(loc_cnd.check_flag("art_skill_active"))
]),
("art", "photo_q", 1):
cnd.all([
loc_cnd.art_skill_switch,
cnd.neg(loc_cnd.check_flag("art_skill_active"))
]),
}
},
"art": {
"drawing_q": {
RESPONSE: "Do you like drawing?",
TRANSITIONS: {
("drawing", "what_painter", 2):
cnd.any([
int_cnd.is_yes_vars,
cnd.regexp(templates.LIKE_PATTERN),
], ),
lbl.forward():
cnd.true(),
},
PROCESSING: {
"set_flag": loc_prs.set_flag("art_skill_active"),
"set_confidence": loc_prs.set_start_confidence,
},
},
"photo_q": {
RESPONSE: ["Do you like taking photos?"],
TRANSITIONS: {
("photo", "what_photos"):
cnd.any(
[int_cnd.is_yes_vars,
"start": {
RESPONSE: ""
},
"fallback": {
PROCESSING: {
"set_confidence": int_prs.set_confidence(ZERO_CONFIDENCE)
},
RESPONSE: "",
},
},
"funfact": {
LOCAL: {
TRANSITIONS: {
("funfact", "random"):
cnd.any([
loc_cnd.random_funfact_condition,
loc_cnd.another_funfact_condition
])
}
},
"random": {
RESPONSE: rsp.random_funfact_response
},
"thematic": {
RESPONSE: rsp.thematic_funfact_response
},
},
}
actor = Actor(flows,
start_label=("service", "start"),
fallback_label=("service", "fallback"))
r"n['o]t (sure|know|remember|recall)|no (idea|clue)|never heard",
re.IGNORECASE))
# todo: add more phrases
likes_reading = cnd.regexp(
re.compile(
r"i (do )?(like|love|prefer|enjoy) (books{0,1}|read|to read|reading)",
re.IGNORECASE,
))
dislikes_reading = cnd.any([
cnd.regexp(
re.compile(
r"((n['o]t (want|like) (to )?(go on|continue|hear|talk|discuss|speak|listen))|"
r"(no more)|"
r"(whatever)|"
r"((stop|quit|exit)))",
re.IGNORECASE,
)),
cnd.regexp(re.compile(NOT_LIKE_PATTERN)),
])
exit_skill = cnd.any([
is_side_or_stop,
# int_cnd.is_switch_topic,
# is_switch_topic,
cnd.all([is_proposed_skill, int_cnd.is_no_vars]),
])
has_read_transitions = {
("concrete_book_flow", "ask_opinion", 2):
flows = {
GLOBAL: {
TRANSITIONS: {
("global_flow", "fallback", 1.5): loc_cnd.exit_skill,
("books_general", "dislikes_reading", 1.5): loc_cnd.dislikes_reading,
("books_general", "book_start"): loc_cnd.start_condition,
("books_general", "book_restart"): cnd.all(
[
loc_cnd.is_proposed_skill,
cnd.neg(loc_cnd.check_flag("book_skill_active")),
loc_cnd.check_flag("book_start_visited"),
]
),
("bot_fav_book", "fav_name", 4): cnd.any( # было 1.8
[
loc_cnd.is_last_used_phrase(loc_rsp.FAVOURITE_BOOK_PHRASES),
loc_cnd.asked_fav_book,
]
),
("bot_fav_book", "fav_denied", 2): cnd.all(
[
loc_cnd.is_last_used_phrase(loc_rsp.FAVOURITE_BOOK_PHRASES),
int_cnd.is_no_vars,
]
),
("bible_flow", "bible_start", 1.8): cnd.all(
[
loc_cnd.asked_about_bible,
cnd.neg(loc_cnd.check_flag("bible_start_visited")),
]
),
("bible_flow", "bible_elaborate", 1.8): cnd.all(
return False
def age_detected(ctx: Context, actor: Actor, *args, **kwargs):
# See note in subject_detected
age = get_age(ctx)
if age:
return True
return False
offered_more = cnd.any(
[
cnd.negation(covid_facts_exhausted),
cnd.negation(check_flag("asked_about_age")),
]
)
replied_to_offer = {
("covid_fact", "replied_no"): cnd.all([offered_more, int_cnd.is_no_vars]),
("covid_fact", "feel_fear"): cnd.all([offered_more, emotion_detected("fear", 0.9)]),
("covid_fact", "replied_yes"): cnd.all([offered_more, int_cnd.is_yes_vars]),
("simple", "age_covid_risks"): cnd.all([offered_more, age_detected]),
("covid_fact", "core_fact_2"): cnd.all([offered_more, cnd.negation(age_detected)]),
}
about_virus = cnd.regexp(r"(virus|\bcovid\b|\bill\b|infect|code nineteen|corona|corana|corono|kroner)", re.IGNORECASE)
about_coronavirus = cnd.all(
[
)
from scenario.constants import HIGH_CONF, ZERO_CONF
from scenario.processing import location_request_processing
from scenario.response import activity_answer_response, activity_question_response, forecast_response
flows = {
"service": {
"start": {
RESPONSE: "",
TRANSITIONS: {
("weather", "forecast"):
cnd.any([
homeland_forecast_requested_condition,
cnd.all([
request_with_location_condition,
cnd.any([
forecast_requested_condition,
forecast_intent_condition
]),
]),
]),
("weather", "location_request"):
cnd.any(
[forecast_requested_condition, forecast_intent_condition]),
("weather", "continue_question"):
chat_about_weather_condition,
},
},
"fallback": {
RESPONSE: "Oops",
PROCESSING: {
"set_confidence": int_prs.set_confidence(ZERO_CONF)