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,
cnd.regexp(templates.LIKE_PATTERN)])
},
PROCESSING: {
"set_flag": loc_prs.set_flag("art_skill_active"),
"set_confidence": int_prs.set_confidence(SUPER_CONFIDENCE),
},
},
},
"drawing": {
"what_painter": {
RESPONSE: "Pictures of what painters do you like?",
TRANSITIONS: {
lbl.forward(): cnd.true()
},
PROCESSING: {
"set_confidence": int_prs.set_confidence(HIGH_CONFIDENCE)
},
},
"what_paintings": {
RESPONSE:
"start": {
RESPONSE: "",
TRANSITIONS: {("greeting", "node1"): cnd.true()},
},
"fallback": {
RESPONSE: "Ooops",
TRANSITIONS: {
lbl.previous(): cnd.regexp(r"previous", re.IGNORECASE),
lbl.repeat(0.2): cnd.true(),
},
},
},
"greeting": {
LOCAL: {
PROCESSING: {
"set_confidence": int_prs.set_confidence(1.0),
"set_can_continue": int_prs.set_can_continue(),
# "fill_responses_by_slots": int_prs.fill_responses_by_slots(),
},
},
"node1": {
RESPONSE: int_rsp.multi_response(replies=["Hi, how are you?", "Hi, what's up?"]), # several hypothesis
PROCESSING: {
"save_slots_to_ctx": int_prs.save_slots_to_ctx({"topic": "science", "user_name": "Gordon Freeman"})
},
TRANSITIONS: {"node2": cnd.regexp(r"how are you", re.IGNORECASE)},
},
"node2": {
RESPONSE: loc_rsp.example_response("Good. What do you want to talk about?"),
# loc_rsp.example_response is just for an example, you can use just str without example_response func
TRANSITIONS: {"node3": loc_cnd.example_lets_talk_about()},
("books_general", "book_start"): loc_cnd.start_condition,
lbl.repeat(): cnd.true(),
},
},
"fallback": {
RESPONSE: loc_rsp.append_unused(
initial="Anyway, let's talk about something else! ",
phrases=[
SWITCH_MOVIE_SKILL_PHRASE,
OFFER_TALK_ABOUT_SCIENCE,
"What's on your mind?",
],
),
PROCESSING: {
"set_flag": loc_prs.set_flag("book_skill_active"),
"set_confidence": int_prs.set_confidence(ZERO_CONFIDENCE),
"set_can_continue": int_prs.set_can_continue(CAN_NOT_CONTINUE),
},
TRANSITIONS: {},
},
},
"books_general": {
"book_start": {
RESPONSE: loc_rsp.append_unused("", [loc_rsp.START_PHRASE]),
PROCESSING: {
"set_confidence": int_prs.set_confidence(SUPER_CONFIDENCE),
"set_flag": loc_prs.set_flag("book_skill_active", True),
"execute_response": loc_prs.execute_response,
},
TRANSITIONS: {
"dislikes_reading": int_cnd.is_no_vars,
TRANSITIONS: {
("funfact", "thematic", 1.1): loc_cnd.thematic_funfact_condition
},
},
"service": {
LOCAL: {
TRANSITIONS: {
("funfact", "random"): loc_cnd.random_funfact_condition
}
},
"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": {
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)
},
},
},
"weather": {
"forecast": {
RESPONSE: forecast_response,
TRANSITIONS: {
"activity_question": cnd.true()
}
},
"location_request": {
RESPONSE:
"Hmm. Which particular city would you like a weather forecast for?",
PROCESSING: {
"location_request_processing": location_request_processing