import common.dff.integration.processing as int_prs
import scenario.condition as loc_cnd
import scenario.processing as loc_prs
import common.universal_templates as templates
from common.art import SUPER_CONFIDENCE, HIGH_CONFIDENCE
sentry_sdk.init(getenv("SENTRY_DSN"))
logger = logging.getLogger(__name__)
flows = {
GLOBAL: {
TRANSITIONS: {
("art", "drawing_q", 2):
cnd.all([
loc_cnd.art_skill_switch,
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,
from . import condition as loc_cnd
from . import response as loc_rsp
logger = logging.getLogger(__name__)
flows = {
GLOBAL: {TRANSITIONS: {("story_flow", "fallback_node"): cnd.true()}},
"story_flow": {
"start_node": {
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,
def check_slot(prop: str) -> bool:
return to_boolean(universal.get_slot(prop))
check_author_regexp: Callable[[Context, Actor],
bool] = to_boolean(universal.get_author_regexp)
check_genre_regexp: Callable[[Context, Actor],
bool] = to_boolean(universal.get_genre_regexp)
asked_what = cnd.regexp(re.compile(r"what (are|was|were|it|is)",
re.IGNORECASE))
asked_to_offer_book = cnd.all([
# int_cnd.is_question,
is_question,
cnd.regexp(re.compile(r"(suggest|recommend)", re.IGNORECASE)),
])
asked_about_book = cnd.all([
# int_cnd.is_question,
is_question,
about_book,
])
asked_book_content = cnd.all([
# int_cnd.is_question,
is_question,
cnd.regexp(re.compile(r"what('s| is).+ about\?{0,1}$", re.IGNORECASE)),
])
SUPER_CONFIDENCE = 1.0
HIGH_CONFIDENCE = 0.98
DEFAULT_CONFIDENCE = 0.95
BIT_LOWER_CONFIDENCE = 0.90
ZERO_CONFIDENCE = 0.0
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,
]
),
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(
[
about_virus,
cnd.any(
[
cnd.regexp(
r"(corona|corana|corono|clone a|colonel|chrono|quran|corvette|current|kroner|corolla|"
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)