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final_lambda_code.py
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final_lambda_code.py
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"""
AWS lambda code by end of part 2 of programming alexa series
"""
from __future__ import print_function
import random
from insults import get_insult
# --------------- Helpers that build all of the responses ----------------------
def build_speechlet_response(title, output, reprompt_text, should_end_session):
return {
'outputSpeech': {
'type': 'PlainText',
'text': output
},
'card': {
'type': 'Simple',
'title': "SessionSpeechlet - " + title,
'content': "SessionSpeechlet - " + output
},
'reprompt': {
'outputSpeech': {
'type': 'PlainText',
'text': reprompt_text
}
},
'shouldEndSession': should_end_session
}
def build_response(session_attributes, speechlet_response):
return {
'version': '1.0',
'sessionAttributes': session_attributes,
'response': speechlet_response
}
# --------------- Functions that control the skill's behavior ------------------
def get_compliment_response():
""" An example of a custom intent. Same structure as welcome message, just make sure to add this intent
in your alexa skill in order for it to work.
"""
session_attributes = {}
card_title = "Compliment"
compliments = [line for line in open('compliments.txt')]
print(compliments)
compliment = compliments[random.randint(0,len(compliments)-1)]
speech_output = compliment
reprompt_text = "I said," + compliment
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def get_insult_response(intent, session):
""" An example of a custom intent. Same structure as welcome message, just make sure to add this intent
in your alexa skill in order for it to work.
"""
print("SESSION BELOW")
print(session)
session_attributes = {'insult_state': 1}
card_title = "Insult"
speech_output = "That's not very nice. I don't want to."
reprompt_text = "I would rather not do that."
if session.get('attributes', {}) and session['attributes']['insult_state'] == 1:
insult = get_insult()
speech_output = intent['slots']['name']['value'] + " is a " + insult
reprompt_text = "I said he is a " + insult
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def get_welcome_response():
""" If we wanted to initialize the session to have some attributes we could
add those here
"""
session_attributes = {}
card_title = "Welcome"
speech_output = "What up what up what up, your application has started!"
# If the user either does not reply to the welcome message or says something
# that is not understood, they will be prompted again with this text.
reprompt_text = "I don't know if you heard me, welcome to your custom alexa application!"
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def handle_session_end_request():
card_title = "Session Ended"
speech_output = "Thank you for trying the Alexa Skills Kit sample. " \
"Have a nice day! "
# Setting this to true ends the session and exits the skill.
should_end_session = True
return build_response({}, build_speechlet_response(
card_title, speech_output, None, should_end_session))
# --------------- Events ------------------
def on_session_started(session_started_request, session):
""" Called when the session starts.
One possible use of this function is to initialize specific
variables from a previous state stored in an external database
"""
# Add additional code here as needed
pass
def on_launch(launch_request, session):
""" Called when the user launches the skill without specifying what they
want
"""
# Dispatch to your skill's launch message
return get_welcome_response()
def on_intent(intent_request, session):
""" Called when the user specifies an intent for this skill """
intent = intent_request['intent']
intent_name = intent_request['intent']['name']
# Dispatch to your skill's intent handlers
if intent_name == "compliment":
return get_compliment_response()
elif intent_name == "insult":
return get_insult_response(intent, session)
elif intent_name == "AMAZON.HelpIntent":
return get_welcome_response()
elif intent_name == "AMAZON.CancelIntent" or intent_name == "AMAZON.StopIntent":
return handle_session_end_request()
else:
raise ValueError("Invalid intent")
def on_session_ended(session_ended_request, session):
""" Called when the user ends the session.
Is not called when the skill returns should_end_session=true
"""
print("on_session_ended requestId=" + session_ended_request['requestId'] +
", sessionId=" + session['sessionId'])
# add cleanup logic here
# --------------- Main handler ------------------
def lambda_handler(event, context):
""" Route the incoming request based on type (LaunchRequest, IntentRequest,
etc.) The JSON body of the request is provided in the event parameter.
"""
print("Incoming request...")
"""
Uncomment this if statement and populate with your skill's application ID to
prevent someone else from configuring a skill that sends requests to this
function.
"""
# if (event['session']['application']['applicationId'] !=
# "amzn1.echo-sdk-ams.app.[unique-value-here]"):
# raise ValueError("Invalid Application ID")
if event['session']['new']:
on_session_started({'requestId': event['request']['requestId']},
event['session'])
if event['request']['type'] == "LaunchRequest":
return on_launch(event['request'], event['session'])
elif event['request']['type'] == "IntentRequest":
return on_intent(event['request'], event['session'])
elif event['request']['type'] == "SessionEndedRequest":
return on_session_ended(event['request'], event['session'])