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ChiHackNightSkill.py
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ChiHackNightSkill.py
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"""
ChiHackNightSkill.py
"""
import urllib2
import json
devo_application_id = "amzn1.echo-sdk-ams.app.987e0809-da10-4883-bb3c-a77bc1c61679"
valid_application_ids = (devo_application_id)
def lambda_handler(event, context):
""" Prevent someone else from configuring a skill that sends requests to this function. """
application_id = event['session']['application']['applicationId']
print("event.session.application.applicationId=" + application_id)
if (application_id not in valid_application_ids):
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'])
def on_session_started(session_started_request, session):
""" Called when the session starts """
log("on_session_started", session_started_request, session)
def on_launch(launch_request, session):
""" Called when the user launches the skill without specifying what they want """
log("on_launch", launch_request, session)
# Dispatch to your skill's launch
return get_welcome_response()
def on_intent(intent_request, session):
""" Called when the user specifies an intent for this skill """
log("on_intent", intent_request, session)
intent_name = intent_request['intent']['name']
# Dispatch to your skill's intent handlers
if intent_name == "WelcomeIntent":
return get_welcome_response()
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 """
log("on_session_ended", session_ended_request, session)
# add cleanup logic here
def log(func_name, request, session):
print(func_name + " requestId=" + request['requestId'] + ", sessionId=" + session['sessionId'])
# --------------- Functions that control the skill's behavior ------------------
def get_welcome_response():
session_attributes = {}
card_title = "Welcome"
# TODO: Chai Hack Night!
speech_output = "Tonight at Chai Hack Night, we will learn how to create an Alexa Skill. " \
"Then we will brainstorm ideas for a skill to build together."
# 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 = "Please try again by saying, tell me about tonight's breakout group."
should_end_session = True
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"
# TODO: Chai Hack Night!
speech_output = "Thank you for trying the Chai Hack Night Skill. " \
"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))
# --------------- Helpers that build all of the responses ----------------------
def build_speechlet_response(title, output, reprompt_text, should_end_session, image=""):
card = {}
if image == "":
card['type'] = 'Simple'
card['content'] = title
else:
card['type'] = 'Standard'
card['image'] = {'smallImageUrl': image, 'largeImageUrl': image}
card['text'] = title
card['title'] = title
return {
'outputSpeech': {
'type': 'PlainText', #'SSML', # Indicates that the output speech is text marked up with SSML.
'text': output
},
'card': card,
'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
}