def list_goal_helper(user_id):
goal_list = dynamo_helper.list_goals(user_id)
if len(goal_list) == 0:
speech_text = "You do not have any active goals. Create a new goal by saying something like: 'I want to go to the gym today'"
else:
if len(goal_list) == 1:
speech_text = "Your goal is to " + goal_list[0]
else:
speech_text = "Your goals are to "
for ind, goal in enumerate(goal_list):
if ind == len(goal_list) - 1:
speech_text += "and " + goal
else:
speech_text += goal + ", "
return speech_text
def complete_goal_helper(user_id, slots):
# the goal slot in the intent should be required
if slots is None:
# should not happen, but check here in case this intent somehow gets called
speech_text = "Sorry, I did not understand what you said there. Can you say it again or word it differently?"
else:
goal_list = dynamo_helper.list_goals(user_id)
if len(goal_list) == 0:
speech_text = "Sorry you do not have any active goals to complete"
else:
# If you can connect to tensor flow model use that, otherwise use language_helper
# This is gross and should probably be made into its own method but ¯\_(ツ)_/¯
try:
similarity_list = similarity_helper.match_similarity_with_list(
slots['Goal'].value, goal_list)
if similarity_list is not None and similarity_list[0][
0] is not None and similarity_list[0][1] is not None:
print("Using similarity server")
most_similar_string = similarity_list[0][0]
similar_value = similarity_list[0][1]
else:
most_similar_string, similar_value = language_helper.get_most_similar_string(
slots['Goal'].value, goal_list)
print("Most similar string: ", most_similar_string)
print("Similarity value: ", similar_value)
except Exception as e:
most_similar_string, similar_value = language_helper.get_most_similar_string(
slots['Goal'].value, goal_list)
# Check here right now just in case we dont want to return something if they say something that is not like
# one of their goals
if similar_value >= 0.6:
goal_description = most_similar_string
dynamo_helper.update_goal_status(user_id, goal_description,
"COMPLETED")
speech_text = "I have marked your goal to " + goal_description + " as completed. " + congrats[
random.randint(0,
len(congrats) - 1)]
else:
# Maybe if we get here, we could ask if we should list the goals (add info to session_attributes)
speech_text = "Sorry, you do not have a goal to " + slots[
'Goal'].value + ". You can ask me to list your goals if you want."
return speech_text
def retrieve_goal_to_delete_helper(user_id, slots):
# the goal slot in the intent should be required
if slots is None:
# should not happen, but check here in case this intent somehow gets called
speech_text = "Sorry, I did not understand what you said there. Can you say it again or word it differently?"
goal_description = None
else:
goal_list = dynamo_helper.list_goals(user_id)
if len(goal_list) == 0:
speech_text = "Sorry you do not have any active goals to delete"
goal_description = None
else:
# If you can connect to tensor flow model use that, otherwise use language_helper
try:
similarity_list = similarity_helper.match_similarity_with_list(
slots['Goal'].value, goal_list)
if similarity_list is not None and similarity_list[0][
0] is not None and similarity_list[0][1] is not None:
print("Using similarity server")
most_similar_string = similarity_list[0][0]
similar_value = similarity_list[0][1]
else:
most_similar_string, similar_value = language_helper.get_most_similar_string(
slots['Goal'].value, goal_list)
print("Most similar string: ", most_similar_string)
print("Similarity value: ", similar_value)
except Exception as e:
most_similar_string, similar_value = language_helper.get_most_similar_string(
slots['Goal'].value, goal_list)
# Check here right now just in case we dont want to return something if they say something that is not like
# one of their goals
if similar_value >= 0.6:
speech_text = "Are you sure you want me to delete your goal to " + most_similar_string + "?"
goal_description = most_similar_string
else:
# Maybe if we get here, we could ask if we should list the goals (add info to session_attributes)
speech_text = "Sorry, you do not have a goal to " + slots[
'Goal'].value + ". You can ask me to list your goals if you want."
goal_description = None
return speech_text, goal_description
def handle(self, handler_input):
# type: (HandlerInput) -> Response
user_id = handler_input.request_envelope.session.user.user_id[18:]
goal_list = dynamo_helper.list_goals(user_id)
completed_goal_list = dynamo_helper.list_goals_with_status(
user_id, "COMPLETED")
journal_entries = journal_helper.get_all_entries(user_id)
all_text = ""
for goal in goal_list:
all_text = all_text + goal + " "
for goal in completed_goal_list:
all_text = all_text + goal + " "
for journal_entry in journal_entries:
all_text = all_text + journal_entry["text"] + " "
if all_text == "":
speech_text = "You don't have any journal entries or goals. Add some so we know more about you."
else:
user_sentiment = sentiment_helper.sentiment_with_threshold(
all_text)
if user_sentiment == "HAPPY":
speech_text = "You've been very happy. Keep it up! You're a positive force in the universe!"
elif user_sentiment == "SLIGHTLY_HAPPY":
speech_text = "You've been quite happy. That's pretty good."
elif user_sentiment == "NEUTRAL":
speech_text = "You've been feeling neutral. I have no feelings about this, one way or another."
elif user_sentiment == "SLIGHTLY_SAD":
speech_text = "It seems like you've been a little under the weather. That's okay. Tomorrow's a new day."
elif user_sentiment == "SAD":
speech_text = "It seems like you have not been feeling good. That's okay. Everybody feels sad " \
"sometimes."
card_text = speech_text
clearSessionAttributes(handler_input)
return speech_helper.build_response(handler_input, card_title,
card_text, speech_text)
def handle(self, handler_input):
user_id = handler_input.request_envelope.session.user.user_id[18:]
goal_list = dynamo_helper.list_goals(user_id)
completed_goal_list = dynamo_helper.list_goals_with_status(
user_id, "COMPLETED")
journal_entries = journal_helper.get_all_entries(user_id)
all_text = ""
user_sentiment = ""
for goal in goal_list:
all_text = all_text + goal + " "
for goal in completed_goal_list:
all_text = all_text + goal + " "
for journal_entry in journal_entries:
all_text = all_text + journal_entry["text"] + " "
if all_text == "":
speech_text = "You don't have any journal entries or goals. Tell me more about yourself so I can give you relevant advice"
else:
user_sentiment = sentiment_helper.sentiment_with_threshold(
all_text)
if user_sentiment != "":
query_word = sentiment_helper.get_query_word_from_sentiment(
user_sentiment)
handler_input.attributes_manager.session_attributes[
LAST_QUERY_SESSION_ATTRIBUTE] = query_word
queryResults = discovery_helper.query(query_word)
print('query results:', queryResults)
if queryResults is not None and isinstance(queryResults,
(tuple, list)):
passage = queryResults[0]
docId = queryResults[1]
queryId = queryResults[2]
author = queryResults[3]
speech_text = passage + "<break time='1s'/> Was that helpful?"
card_text = passage + "\nWas that helpful?"
handler_input.attributes_manager.session_attributes[
LAST_QUERY_ID_SESSION_ATTRIBUTE] = queryId
print('session attributes:',
handler_input.attributes_manager.session_attributes)
handler_input.attributes_manager.session_attributes[
LAST_DOCUMENT_ID_SESSION_ATTRIBUTE] = docId
handler_input.attributes_manager.session_attributes[
LAST_AUTHOR_SESSION_ATTRIBUTE] = author
print('session attributes:',
handler_input.attributes_manager.session_attributes)
elif queryResults is not None and isinstance(queryResults, str):
speech_text = queryResults
card_text = speech_text
handler_input.attributes_manager.session_attributes[
LAST_AUTHOR_SESSION_ATTRIBUTE] = None
else:
speech_text = 'Ask me later when you have used the skill more'
card_text = speech_text
clearSessionAttributes(handler_input, deleteQueryID=False)
else:
card_text = speech_text
return speech_helper.build_response(handler_input, card_title,
card_text, speech_text)