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300 lines (247 loc) · 9.86 KB
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"""
This is an echo application for madlibs
"""
from __future__ import print_function
import requests
# Mad Lib imports and variables
import random
PERCENT_DELIMITER = '%';
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("event.session.application.applicationId=" +
event['session']['application']['applicationId'])
"""
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'])
def on_session_started(session_started_request, session):
""" Called when the session starts """
print("on_session_started requestId=" + session_started_request['requestId']
+ ", sessionId=" + session['sessionId'])
def on_launch(launch_request, session):
""" Called when the user launches the skill without specifying what they
want
"""
print("on_launch requestId=" + launch_request['requestId'] +
", sessionId=" + session['sessionId'])
# Dispatch to your skill's launch
return initializeGame()
def on_intent(intent_request, session):
""" Called when the user specifies an intent for this skill """
print("on_intent requestId=" + intent_request['requestId'] +
", sessionId=" + session['sessionId'])
intent = intent_request['intent']
intent_name = intent_request['intent']['name']
# Dispatch to your skill's intent handlers
if intent_name == "MadlibsIntent":
return getResponse(intent, session)
elif intent_name == "AMAZON.HelpIntent":
return initializeGame()
elif intent_name == "AMAZON.StopIntent":
return stopGame()
elif intent_name == "AMAZON.CancelIntent":
return stopGame()
else:
print(intent_name)
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
# --------------- Functions that control the skill's behavior ------------------
#Initialize madlibs game
def initializeGame():
""" If we wanted to initialize the session to have some attributes we could
add those here
"""
session_attributes = {}
card_title = "Mad Libs"
#Choosing the script
script = selectFile()
questions = getQuestions(script)
index = 0
NUM_QUESTIONS = len(questions)
# Save the questions in session attributes for later use
session_attributes = {'questions': questions, 'index': index, 'fileName': script}
# Generate instruction output
speech_output = "Let's play Mad Libs. I'm going to ask you " + str(NUM_QUESTIONS) + " questions. Say cancel to quit. Let's begin."
speech_output = speech_output + " Give me a " + questions[index] + ". "
reprompt_text = "Give me a " + questions[index] + ". "
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def getResponse(intent, session):
""" We want to prompt the user for speicifc words
"""
# initialization
should_end_session = False
session_attributes = {}
card_title = 'Prompt'
reprompt_text = "I am ready to read script."
if "questions" in session.get('attributes', {}):
# Get attributes from the session
questions = session['attributes']['questions']
index = session['attributes']['index']
fileName = session['attributes']['fileName']
if(index < len(questions)):
# Get the user input answer
answer = intent['slots']['Word']['value']
if answer == 'cancel':
return stopGame()
speech_output = "You just said " + answer + ". "
# Re ask the question if necessary
reprompt_text = "Give me a " + questions[index] + ". ";
# Update the state with the new responses
questions[index] = answer
index = index + 1
# Check state
if(index < len(questions)):
speech_output = speech_output + "Please give me a " + questions[index] + ". "
session_attributes = {'questions': questions, 'index': index, 'fileName': fileName}
else:
# You have already entered all of the words, time to read script
should_end_session = True
script = readScript(questions, fileName)
url = 'http://textbelt.com/text'
payload = {
'number': '<ENTER PHONE NUMBER HERE>',
'message': script,
}
requests.post(url, data=payload)
speech_output = "Reading script. " + script + " Goodbye."
else:
speech_output = "index is less than length of questions " \
"Internal problem."
reprompt_text = "I did not understand what you said."
else:
speech_output = "I did not understand what you said " \
"Please try again."
reprompt_text = "I did not understand what you said."
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
# # Chooses the script
# def getQuestions():
# return ['noun', 'verb', 'adjective']
# # Read the script based on the responses
# def readScript(responses):
# return ' '.join(responses)
# Chooses the script
def getQuestions(script):
return getQuestionsAsArray([], script);
# Read the script based on the responses
def readScript(responses, madlibFile):
return alexaSay(responses, madlibFile);
def sendSMS(script):
pass
url = 'https://150.212.33.69:8000'
payload = {
'message': script
}
try:
requests.post(url, data=payload)
except Exception as e:
print('failllllll, e =', e)
def stopGame():
""" We want to quit the application
"""
should_end_session = True
session_attributes = {}
card_title = 'Stop'
speech_output = "Goodbye."
reprompt_text = ""
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
#---------------Madlib Core Routines----------------#
def selectFile():
madlibFile = "";
randomInt = random.randint(1,2)
if randomInt == 1:
madlibFile = "ML_1.txt"
elif randomInt == 2:
madlibFile = "ML_2.txt"
elif randomInt == 3:
madlibFile = "ML_3.txt"
elif randomInt == 4:
madlibFile = "ML_4.txt"
return madlibFile;
def alexaSay(responses, madlibFile):
lineBuffer = '';
indexPos = 0;
lineBuffer = open(madlibFile,'r').read();
while PERCENT_DELIMITER in lineBuffer:
#Remove percents
next_target = lineBuffer.find('%');
lineBuffer = lineBuffer[:next_target] + responses[indexPos] +lineBuffer[(next_target+3):]
indexPos = indexPos + 1;
return lineBuffer
def getQuestionsAsArray(sub_array, madlibFile):
i = 0
q = 0
with open(madlibFile) as myFile:
sub_array = []
for num, line in enumerate(myFile, 1):
if PERCENT_DELIMITER in line:
index_of_percent = [i for i,x in enumerate(line) if x == PERCENT_DELIMITER];
q=0;
for element in index_of_percent:
if(q < len(index_of_percent)):
sub_array.append(line[index_of_percent[q] + 1]);
i = i+1;
q = q+1;
continue
else:
break;
item = 0
for element in sub_array:
if('n' in sub_array[item]):
sub_array[item] = 'noun';
elif('v' in sub_array[item]):
sub_array[item] = 'verb';
elif('a' in sub_array[item]):
sub_array[item] = 'adjective';
item = item+1;
return sub_array;
# --------------- 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
}