<reponame>andy-96/nlp-reddit-worldnews<gh_stars>0
# -*- coding: utf-8 -*-

# This sample demonstrates handling intents from an Alexa skill using the Alexa Skills Kit SDK for Python.
# Please visit https://alexa.design/cookbook for additional examples on implementing slots, dialog management,
# session persistence, api calls, and more.
# This sample is built using the handler classes approach in skill builder.
import logging
import ask_sdk_core.utils as ask_utils
import os
import requests
import calendar
from datetime import datetime
from pytz import timezone
import requests

import json

#from ask_sdk_s3.adapter import S3Adapter
from ask_sdk_core.skill_builder import SkillBuilder

from ask_sdk_core.dispatch_components import AbstractRequestHandler
from ask_sdk_core.dispatch_components import AbstractExceptionHandler
from ask_sdk_core.handler_input import HandlerInput

from ask_sdk_model import Response



logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)


class LaunchRequestHandler(AbstractRequestHandler):
    """Handler for Skill Launch."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool

        return ask_utils.is_request_type("LaunchRequest")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        speak_output = "sure, what's been going on??"
        reprompt_text = "Can I comment on some news?"

        return (
            handler_input.response_builder
                .speak(speak_output)
                .ask(reprompt_text)
                .response
        )
        
class TestIntent(AbstractRequestHandler):
    """Handler for TestIntent."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return ask_utils.is_intent_name("TestIntent")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        
        slots = handler_input.request_envelope.request.intent.slots
        headline = slots["query"].value
        url = "http://172.16.17.32:8000/generate-comment"
        print(url)
        print(headline)
        data = {
            "headline": headline
        }
        r = requests.post(url, data = json.dumps(data))
        print(r)
        speak_output = r.json()
        print(speak_output)
        return (
            handler_input.response_builder
                .speak(speak_output)
                .response
        )

class HelpIntentHandler(AbstractRequestHandler):
    """Handler for Help Intent."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return ask_utils.is_intent_name("AMAZON.HelpIntent")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        speak_output = "You can say hello to me! How can I help?"

        return (
            handler_input.response_builder
                .speak(speak_output)
                .ask(speak_output)
                .response
        )


class CancelOrStopIntentHandler(AbstractRequestHandler):
    """Single handler for Cancel and Stop Intent."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return (ask_utils.is_intent_name("AMAZON.CancelIntent")(handler_input) or
                ask_utils.is_intent_name("AMAZON.StopIntent")(handler_input))

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        speak_output = "Goodbye!"

        return (
            handler_input.response_builder
                .speak(speak_output)
                .response
        )


class SessionEndedRequestHandler(AbstractRequestHandler):
    """Handler for Session End."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return ask_utils.is_request_type("SessionEndedRequest")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response

        # Any cleanup logic goes here.

        return handler_input.response_builder.response


class IntentReflectorHandler(AbstractRequestHandler):
    """The intent reflector is used for interaction model testing and debugging.
    It will simply repeat the intent the user said. You can create custom handlers
    for your intents by defining them above, then also adding them to the request
    handler chain below.
    """
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return ask_utils.is_request_type("IntentRequest")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        intent_name = ask_utils.get_intent_name(handler_input)
        speak_output = "You just triggered " + intent_name + "."

        return (
            handler_input.response_builder
                .speak(speak_output)
                # .ask("add a reprompt if you want to keep the session open for the user to respond")
                .response
        )

"""
class CatchAllExceptionHandler(AbstractExceptionHandler):
    def can_handle(self, handler_input, exception):
        # type: (HandlerInput, Exception) -> bool
        return True

    def handle(self, handler_input, exception):
        # type: (HandlerInput, Exception) -> Response
        logger.error(exception, exc_info=True)

        speak_output = "Sorry, I had trouble doing what you asked. Please try again."

        return (
            handler_input.response_builder
                .speak(speak_output)
                .ask(speak_output)
                .response
        )
"""


sb = SkillBuilder()
sb.add_request_handler(LaunchRequestHandler())
sb.add_request_handler(TestIntent())
sb.add_request_handler(HelpIntentHandler())
sb.add_request_handler(CancelOrStopIntentHandler())
sb.add_request_handler(SessionEndedRequestHandler())
sb.add_request_handler(IntentReflectorHandler()) 
#sb.add_exception_handler(CatchAllExceptionHandler())

lambda_handler = sb.lambda_handler()

# -*- coding: utf-8 -*-

# This sample demonstrates handling intents from an Alexa skill using the Alexa Skills Kit SDK for Python.
# Please visit https://alexa.design/cookbook for additional examples on implementing slots, dialog management,
# session persistence, api calls, and more.
# This sample is built using the handler classes approach in skill builder.
import logging
import ask_sdk_core.utils as ask_utils
import os
import requests
import calendar
from datetime import datetime
from pytz import timezone
import requests

import json

#from ask_sdk_s3.adapter import S3Adapter
from ask_sdk_core.skill_builder import SkillBuilder

from ask_sdk_core.dispatch_components import AbstractRequestHandler
from ask_sdk_core.dispatch_components import AbstractExceptionHandler
from ask_sdk_core.handler_input import HandlerInput

from ask_sdk_model import Response



logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)


class LaunchRequestHandler(AbstractRequestHandler):
    """Handler for Skill Launch."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool

        return ask_utils.is_request_type("LaunchRequest")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        speak_output = "sure, what's been going on??"
        reprompt_text = "Can I comment on some news?"

        return (
            handler_input.response_builder
                .speak(speak_output)
                .ask(reprompt_text)
                .response
        )
        
class TestIntent(AbstractRequestHandler):
    """Handler for TestIntent."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return ask_utils.is_intent_name("TestIntent")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        
        slots = handler_input.request_envelope.request.intent.slots
        headline = slots["query"].value
        url = "http://172.16.17.32:8000/generate-comment"
        print(url)
        print(headline)
        data = {
            "headline": headline
        }
        r = requests.post(url, data = json.dumps(data))
        print(r)
        speak_output = r.json()
        print(speak_output)
        return (
            handler_input.response_builder
                .speak(speak_output)
                .response
        )

class HelpIntentHandler(AbstractRequestHandler):
    """Handler for Help Intent."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return ask_utils.is_intent_name("AMAZON.HelpIntent")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        speak_output = "You can say hello to me! How can I help?"

        return (
            handler_input.response_builder
                .speak(speak_output)
                .ask(speak_output)
                .response
        )


class CancelOrStopIntentHandler(AbstractRequestHandler):
    """Single handler for Cancel and Stop Intent."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return (ask_utils.is_intent_name("AMAZON.CancelIntent")(handler_input) or
                ask_utils.is_intent_name("AMAZON.StopIntent")(handler_input))

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        speak_output = "Goodbye!"

        return (
            handler_input.response_builder
                .speak(speak_output)
                .response
        )


class SessionEndedRequestHandler(AbstractRequestHandler):
    """Handler for Session End."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return ask_utils.is_request_type("SessionEndedRequest")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response

        # Any cleanup logic goes here.

        return handler_input.response_builder.response


class IntentReflectorHandler(AbstractRequestHandler):
    """The intent reflector is used for interaction model testing and debugging.
    It will simply repeat the intent the user said. You can create custom handlers
    for your intents by defining them above, then also adding them to the request
    handler chain below.
    """
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool
        return ask_utils.is_request_type("IntentRequest")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        intent_name = ask_utils.get_intent_name(handler_input)
        speak_output = "You just triggered " + intent_name + "."

        return (
            handler_input.response_builder
                .speak(speak_output)
                # .ask("add a reprompt if you want to keep the session open for the user to respond")
                .response
        )

"""
class CatchAllExceptionHandler(AbstractExceptionHandler):
    def can_handle(self, handler_input, exception):
        # type: (HandlerInput, Exception) -> bool
        return True

    def handle(self, handler_input, exception):
        # type: (HandlerInput, Exception) -> Response
        logger.error(exception, exc_info=True)

        speak_output = "Sorry, I had trouble doing what you asked. Please try again."

        return (
            handler_input.response_builder
                .speak(speak_output)
                .ask(speak_output)
                .response
        )
"""


sb = SkillBuilder()
sb.add_request_handler(LaunchRequestHandler())
sb.add_request_handler(TestIntent())
sb.add_request_handler(HelpIntentHandler())
sb.add_request_handler(CancelOrStopIntentHandler())
sb.add_request_handler(SessionEndedRequestHandler())
sb.add_request_handler(IntentReflectorHandler()) 
#sb.add_exception_handler(CatchAllExceptionHandler())

lambda_handler = sb.lambda_handler()
# -*- coding: utf-8 -*- # This sample demonstrates handling intents from an Alexa skill using the Alexa Skills Kit SDK for Python. # Please visit https://alexa.design/cookbook for additional examples on implementing slots, dialog management, # session persistence, api calls, and more. # This sample is built using the handler classes approach in skill builder. #from ask_sdk_s3.adapter import S3Adapter Handler for Skill Launch. # type: (HandlerInput) -> bool # type: (HandlerInput) -> Response Handler for TestIntent. # type: (HandlerInput) -> bool # type: (HandlerInput) -> Response Handler for Help Intent. # type: (HandlerInput) -> bool # type: (HandlerInput) -> Response Single handler for Cancel and Stop Intent. # type: (HandlerInput) -> bool # type: (HandlerInput) -> Response Handler for Session End. # type: (HandlerInput) -> bool # type: (HandlerInput) -> Response # Any cleanup logic goes here. The intent reflector is used for interaction model testing and debugging.     It will simply repeat the intent the user said. You can create custom handlers     for your intents by defining them above, then also adding them to the request     handler chain below. # type: (HandlerInput) -> bool # type: (HandlerInput) -> Response # .ask("add a reprompt if you want to keep the session open for the user to respond") class CatchAllExceptionHandler(AbstractExceptionHandler):     def can_handle(self, handler_input, exception):         # type: (HandlerInput, Exception) -> bool         return True      def handle(self, handler_input, exception):         # type: (HandlerInput, Exception) -> Response         logger.error(exception, exc_info=True)          speak_output = "Sorry, I had trouble doing what you asked. Please try again."          return (             handler_input.response_builder                 .speak(speak_output)                 .ask(speak_output)                 .response         ) #sb.add_exception_handler(CatchAllExceptionHandler())