def handle(self, handler_input):
logger.info("HAN CP_WrongAnswerHandler")
speech_list = []
player_obj = PlayerDict.load_player_obj(handler_input)
CP_Attr.update_last_question_attr(handler_input, correct=False)
UserStats.update_player_stats(handler_input,
correct=False,
player_obj=player_obj)
ms_wrong = IncorrectAnsUtils.get_ms_incorrect()
question = GenQuestions.get_same_question(handler_input)
reprompt = question
speech_list = (
ms_wrong,
1,
question,
)
SessionStats.update_consecutive_correct(handler_input, correct=False)
ModeStats.update_mode_stats(handler_input, correct=False)
WrongAnswer.record_wrong_question(handler_input)
PlayerDict.save_player_obj(handler_input, player_obj)
speech = get_linear_nlg(speech_list)
reprompt = GenQuestions.get_same_question(handler_input)
card_title, card_text = CardFuncs.get_card_info(handler_input, speech)
return (handler_input.response_builder.speak(speech).ask(
reprompt).set_card(SimpleCard(card_title, card_text)).response)
def handle(self, handler_input):
logger.info("HAN CP_CorrectAnswerHandler")
attr = handler_input.attributes_manager.session_attributes
speech_list = []
practice_type = attr['practice_type']
if practice_type == custom_practice.data.PRACT_TYPES[0]:
CP_Attr.remove_question_from_incorrect_questions(
handler_input) ## Before updating last question
CP_Attr.update_last_question_attr(handler_input, correct=True)
player_obj = PlayerDict.load_player_obj(handler_input)
UserStats.update_player_stats(handler_input,
correct=True,
player_obj=player_obj)
ms_congrats = CongratUtils.get_answer_congrats(handler_input,
player_obj=player_obj)
ms_question = CP_Questions.get_question(handler_input,
player_object=player_obj,
practice_type=practice_type,
first_question=False)
reprompt = GenQuestions.get_same_question(handler_input)
speech_list = (ms_congrats, 1, ms_question)
SessionStats.update_consecutive_correct(handler_input, True)
ModeStats.update_mode_stats(handler_input, True)
PlayerDict.save_player_obj(handler_input, player_obj)
speech = get_linear_nlg(speech_list)
reprompt = GenQuestions.get_same_question(handler_input)
card_title, card_text = CardFuncs.get_card_info(handler_input, speech)
return (handler_input.response_builder.speak(speech).ask(
reprompt).set_card(SimpleCard(card_title, card_text)).response)
def handle(self, handler_input):
logger.info("HAN CP_StartHandler")
player_obj = PlayerDict.load_player_obj(handler_input)
## Check Sufficient Data
## NOTE: make like to refacor this into a method that returns response object
## That will remove the nested loop below.
answered_questions = player_obj.get_answered_questions()
if answered_questions < custom_practice.data.MIN_DATA_REQUIRED:
prompt, reprompt = (HelpUtils.get_q_what_todo() for _ in range(2))
speech_list = (
CP_Welcome.get_ms_need_more_data(answered_questions),
2,
prompt,
)
else:
CP_Attr.set_attr_start_cp(handler_input)
CP_Attr.set_tbl_mean_err_list_attr(
handler_input, player_obj) # used in practice type
ms_welcome = CP_Welcome.get_ms_welcome(handler_input, player_obj)
practice_type = CP_PracticeType.get_practice_type(
handler_input, allow_incorrect_problems=True)
CP_Attr.save_practice_type(handler_input, practice_type)
CP_Attr.set_pract_type_attr(handler_input, player_obj,
practice_type)
CP_Attr.update_last_question_attr(handler_input, correct=True)
ms_practice_intro = CP_PractIntro.get_ms_practice_type_intro(
handler_input, practice_type)
question = CP_Questions.get_question(handler_input,
player_obj,
practice_type,
first_question=True)
reprompt = GenQuestions.get_same_question(handler_input)
speech_list = (
ms_welcome,
2.5,
ms_practice_intro,
2,
question,
)
speech = get_linear_nlg(speech_list)
reprompt = GenQuestions.get_same_question(handler_input)
card_title, card_text = CardFuncs.get_card_info(handler_input, speech)
return (handler_input.response_builder.speak(speech).ask(
reprompt).set_card(SimpleCard(card_title, card_text)).response)
def get_ms_practice_high_zscore_tables(handler_input) -> str:
"""Returns message to practice high relative error tables."""
tables_to_practice = CP_Attr.get_top_z_score_err_tables(handler_input)
ms_tables_to_practice = get_str_from_list(tables_to_practice,
punct=False)
ms_times_tables_syn = random.choice(
custom_practice.data.MT_TIMES_TABLE_SYN) + '.'
speech_list_1 = list(custom_practice.data.MMT_HIGH_Z_SCORE)
speech_list_2 = [
ms_tables_to_practice,
ms_times_tables_syn,
1,
custom_practice.data.MMT_PRACTICE_THOSE,
]
speech_list = (speech_list_1 + speech_list_2 +
CP_PractIntro.get_ms_num_in_row_to_complete())
return get_linear_nlg(speech_list)
def handle(self, handler_input):
logger.info("HAN CP_NextPracticeHandler")
attr = handler_input.attributes_manager.session_attributes
speech_list = []
player_obj = PlayerDict.load_player_obj(handler_input)
UserStats.update_player_stats(handler_input,
correct=True,
player_obj=player_obj)
CP_Attr.set_attr_new_practice(handler_input)
CP_Attr.set_tbl_mean_err_list_attr(handler_input, player_obj)
practice_type = attr['practice_type']
ms_end_pract_type = CP_PractEnd.get_ms_practice_type_end(
handler_input, practice_type=practice_type)
if practice_type == custom_practice.data.PRACT_TYPES[0]:
CP_Attr.remove_question_from_incorrect_questions(handler_input)
ms_congrats = CongratUtils.get_player_congrats(handler_input)
if practice_type != custom_practice.data.PRACT_TYPES[-1]:
practice_type = CP_PracticeType.get_practice_type(
handler_input, allow_incorrect_problems=False)
CP_Attr.save_practice_type(handler_input, practice_type)
CP_Attr.set_pract_type_attr(handler_input, player_obj,
practice_type)
CP_Attr.update_last_question_attr(handler_input, correct=True)
ms_practice_intro = CP_PractIntro.get_ms_practice_type_intro(
handler_input, practice_type=practice_type)
question = CP_Questions.get_question(handler_input,
player_obj,
practice_type,
first_question=True)
reprompt = GenQuestions.get_same_question(handler_input)
speech_list = (
ms_congrats,
0.5,
ms_end_pract_type,
2.5,
ms_practice_intro,
2,
question,
)
else:
UserStats.update_player_cp_stats(handler_input, player_obj)
prompt, reprompt = (HelpUtils.get_q_what_todo() for _ in range(2))
speech_list = (ms_congrats, 0.5, ms_end_pract_type, 2, prompt)
SessionStats.update_consecutive_correct(handler_input, True)
ModeStats.update_mode_stats(handler_input, True)
PlayerDict.save_player_obj(handler_input, player_obj)
speech = get_linear_nlg(speech_list)
reprompt = GenQuestions.get_same_question(handler_input)
card_title, card_text = CardFuncs.get_card_info(handler_input, speech)
return (handler_input.response_builder.speak(speech).ask(
reprompt).set_card(SimpleCard(card_title, card_text)).response)
def can_handle(self, handler_input):
attr = handler_input.attributes_manager.session_attributes
return (attr.get('mode', None) == 'custom'
and is_intent_name("AnswerIntent")(handler_input)
and QuestionChecker.check_answer(handler_input)
and CP_Attr.check_last_question(handler_input))