<filename>src/lambda_function.py
"""
This sample demonstrates a simple skill built with the Amazon Alexa Skills Kit.
The Intent Schema, Custom Slots, and Sample Utterances for this skill, as well
as testing instructions are located at http://amzn.to/1LzFrj6
For additional samples, visit the Alexa Skills Kit Getting Started guide at
http://amzn.to/1LGWsLG
"""

from __future__ import print_function

import json, requests


# --------------- Helpers that build all of the responses ----------------------

def build_speechlet_response(title, output, reprompt_text, should_end_session):
    return {
        'outputSpeech': {
            'type': 'PlainText',
            'text': 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_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 = "Welcome to the Amazon Alexa Food Helper Skills Kit. " \
                    "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    # 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 = "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    should_end_session = False
    return build_response(session_attributes, build_speechlet_response(
        card_title, speech_output, reprompt_text, should_end_session))


def getHelpContent():
    session_attributes = {}
    card_title = "Help Content"
    speech_output = "I am here to give you details about nearby  restaurant" \
                    "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    # 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 = "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    should_end_session = False
    return build_response(session_attributes, build_speechlet_response(
        card_title, speech_output, reprompt_text, should_end_session))


def getErrorMessage():
    session_attributes = {}
    card_title = "Help Content"
    speech_output = "If you just said something then I can't understand it. " \
                    "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    # 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 = "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    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 Amazon Alexa Food Helper Skills Kit. " \
                    "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))


def Search(intent, session):
    """ Get the content details and prepares the speech to reply to the user.
    """
    if 'Query' in intent['slots']:
        query = intent['slots']['Query']
        if 'value' in query:
            query = query['value']
            if query.lower() != "":
                return RestaurantSearch(intent, session, query)
            else:
                return getErrorMessage()
        else:
            return getErrorMessage()
    else:
        return getErrorMessage()


def RestaurantSearch(intent, session, query):
    """ Get the content details.
    """
    card_title = "No Restaurant Found"
    session_attributes = {}
    should_end_session = True
    reprompt_text = ""
    speech_output = "No Restaurant Found"
    location_url = 'https://developers.zomato.com/api/v2.1/locations'
    header = {"user-key": "e1834ce4678d0c4d605fe24e0eb99b54"}
    paramaters = {
        'query': query
    }
    response = requests.get(location_url, params=paramaters, headers=header)
    location_data = json.loads(response.text)

    search_url = 'https://developers.zomato.com/api/v2.1/search'

    if len(location_data['location_suggestions']) > 0 :
        if location_data['location_suggestions'][0]['entity_type'] and location_data['location_suggestions'][0]['entity_id']:
            paramaters = {
                'entity_type': location_data['location_suggestions'][0]['entity_type'],
                'entity_id': location_data['location_suggestions'][0]['entity_id'],
                'count': '1'
            }
            response = requests.get(search_url, params=paramaters, headers=header)
            restaurant_data = json.loads(response.text)
            if restaurant_data['restaurants'][0]['restaurant']:
                restaurant_data = restaurant_data['restaurants'][0]['restaurant']
                speech_output = 'The nearby restaurant ' + restaurant_data['name'] + ' is at ' + restaurant_data['location']['address']
    return build_response(session_attributes, build_speechlet_response(
        card_title, speech_output, reprompt_text, should_end_session))



# --------------- Events ------------------

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 get_welcome_response()


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 == "SearchIntent":
        return Search(intent, session)
    elif intent_name == "AMAZON.HelpIntent":
        return getHelpContent()
    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("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'])

<filename>src/lambda_function.py
"""
This sample demonstrates a simple skill built with the Amazon Alexa Skills Kit.
The Intent Schema, Custom Slots, and Sample Utterances for this skill, as well
as testing instructions are located at http://amzn.to/1LzFrj6
For additional samples, visit the Alexa Skills Kit Getting Started guide at
http://amzn.to/1LGWsLG
"""

from __future__ import print_function

import json, requests


# --------------- Helpers that build all of the responses ----------------------

def build_speechlet_response(title, output, reprompt_text, should_end_session):
    return {
        'outputSpeech': {
            'type': 'PlainText',
            'text': 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_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 = "Welcome to the Amazon Alexa Food Helper Skills Kit. " \
                    "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    # 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 = "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    should_end_session = False
    return build_response(session_attributes, build_speechlet_response(
        card_title, speech_output, reprompt_text, should_end_session))


def getHelpContent():
    session_attributes = {}
    card_title = "Help Content"
    speech_output = "I am here to give you details about nearby  restaurant" \
                    "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    # 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 = "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    should_end_session = False
    return build_response(session_attributes, build_speechlet_response(
        card_title, speech_output, reprompt_text, should_end_session))


def getErrorMessage():
    session_attributes = {}
    card_title = "Help Content"
    speech_output = "If you just said something then I can't understand it. " \
                    "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    # 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 = "You can search for Restaurant by saying, " \
                    "Tell me the restaurant nearby Vaishali Nagar."
    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 Amazon Alexa Food Helper Skills Kit. " \
                    "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))


def Search(intent, session):
    """ Get the content details and prepares the speech to reply to the user.
    """
    if 'Query' in intent['slots']:
        query = intent['slots']['Query']
        if 'value' in query:
            query = query['value']
            if query.lower() != "":
                return RestaurantSearch(intent, session, query)
            else:
                return getErrorMessage()
        else:
            return getErrorMessage()
    else:
        return getErrorMessage()


def RestaurantSearch(intent, session, query):
    """ Get the content details.
    """
    card_title = "No Restaurant Found"
    session_attributes = {}
    should_end_session = True
    reprompt_text = ""
    speech_output = "No Restaurant Found"
    location_url = 'https://developers.zomato.com/api/v2.1/locations'
    header = {"user-key": "e1834ce4678d0c4d605fe24e0eb99b54"}
    paramaters = {
        'query': query
    }
    response = requests.get(location_url, params=paramaters, headers=header)
    location_data = json.loads(response.text)

    search_url = 'https://developers.zomato.com/api/v2.1/search'

    if len(location_data['location_suggestions']) > 0 :
        if location_data['location_suggestions'][0]['entity_type'] and location_data['location_suggestions'][0]['entity_id']:
            paramaters = {
                'entity_type': location_data['location_suggestions'][0]['entity_type'],
                'entity_id': location_data['location_suggestions'][0]['entity_id'],
                'count': '1'
            }
            response = requests.get(search_url, params=paramaters, headers=header)
            restaurant_data = json.loads(response.text)
            if restaurant_data['restaurants'][0]['restaurant']:
                restaurant_data = restaurant_data['restaurants'][0]['restaurant']
                speech_output = 'The nearby restaurant ' + restaurant_data['name'] + ' is at ' + restaurant_data['location']['address']
    return build_response(session_attributes, build_speechlet_response(
        card_title, speech_output, reprompt_text, should_end_session))



# --------------- Events ------------------

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 get_welcome_response()


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 == "SearchIntent":
        return Search(intent, session)
    elif intent_name == "AMAZON.HelpIntent":
        return getHelpContent()
    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("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'])

This sample demonstrates a simple skill built with the Amazon Alexa Skills Kit. The Intent Schema, Custom Slots, and Sample Utterances for this skill, as well as testing instructions are located at http://amzn.to/1LzFrj6 For additional samples, visit the Alexa Skills Kit Getting Started guide at http://amzn.to/1LGWsLG # --------------- Helpers that build all of the responses ---------------------- # --------------- Functions that control the skill's behavior ------------------ If we wanted to initialize the session to have some attributes we could     add those here # 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. # 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. # 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. # Setting this to true ends the session and exits the skill. Get the content details and prepares the speech to reply to the user. Get the content details. # --------------- Events ------------------ Called when the session starts Called when the user launches the skill without specifying what they     want # Dispatch to your skill's launch Called when the user specifies an intent for this skill # Dispatch to your skill's intent handlers Called when the user ends the session.     Is not called when the skill returns should_end_session=true # add cleanup logic here # --------------- Main handler ------------------ Route the incoming request based on type (LaunchRequest, IntentRequest,     etc.) The JSON body of the request is provided in the event parameter. 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")