# -- coding: utf-8 --
"""
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
import boto3
import datetime
import random
import decimal
import requests

#BUCKET_URL = 'http://35.168.209.123:5000'
BUCKET_URL = 'http://54.175.141.247:5000'

REGION = "us-east-1"

dynamodb = boto3.resource('dynamodb', REGION)
state_table = dynamodb.Table('StateTable')
user_table = dynamodb.Table('UserTable')
confidence_scores = dynamodb.Table("confidence_scores")
convId_table = dynamodb.Table("convid_event")

# Set of utterances that get randomly selected when reprompting the user
utterances=["Are you still there?",
            "Cat got your tongue?",
            "Hello? Anyone there?",
            "Houston, we have a problem! I think I lost communication..."]

intro_phrases=["How are you doing?",
                   "How are you feeling today?",
                  "How's it going with you?",
                  "How's it going?",
                  "How are you?"]


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

def build_speechlet_response(title, output, reprompt_text, should_end_session):
    return {
        'outputSpeech': {
            'type': 'SSML',#'PlainText',
            'ssml':'<speak>'+ output+ '</speak>'
        },
        '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 = "Hi, This is a development Alexa Prize socialbot... " + random.choice(intro_phrases)
    reprompt_text = select_random_utterance()
    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 = ""
    # 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 get_answer(intent, session):

    """ Sets the color in the session and prepares the speech to reply to the
    user.
    """
#    card_title = intent['intent']['name']
    card_title = session['sessionId']
    session_attributes = {}
    should_end_session = False

    utterance = intent['intent']["slots"]["All"]["value"]
    session_id = session['sessionId']
    timestamp = intent['timestamp']
    user_id = session['user']['userId']
    print("utterance: {}, session_id: {}, timestamp: {}, user_id: {}".format(utterance, session_id, timestamp, user_id))

    try:
        confidence_list = [x['confidence'] for x in intent['speechRecognition']['hypotheses'][0]['tokens']]
       # confidence_list = [decimal.Decimal(str(x)) for x in confidence_list]
        print(confidence_list)
    except:
        confidence_list = []


    # write the user utterance to db
    # update_db(session, timestamp, utterance_no_plus, "user", "1", "0", confidence_list

    # print('{}?q={}'.format(BUCKET_URL, utterance + '&sid=' + session['sessionId']))
    data = {
        'session_id': session_id,
        'question': utterance,
        'user_id': user_id,
        'avg_conf_score': sum(confidence_list)/len(confidence_list) if confidence_list else 1.0,
        'conf_score_list': confidence_list,
        'timestamp': timestamp
    }

    speech_output = 'blah blah'
    try:
        # speech_output = json.loads(urllib2.urlopen('{}?q={}'.format(BUCKET_URL, utterance + '&sid=' + session['sessionId']), timeout=15).read())
        res = requests.post(BUCKET_URL, json=data)
        speech_output = res.json().get('result')
    except Exception as e:
#        speech_output = 'I am sorry I didn\'t catch that. Could you repeat that please?'
        speech_output = str(e)
    print("speech_output: ", speech_output)

    if speech_output == 'STOP_INTENT_REQUESTED':
        return build_response(session_attributes, build_speechlet_response(
            card_title, '', None, True))


    reprompt_text = select_random_utterance()

    # write the system utterance to db
    # update_db(session, timestamp, speech_output[1], "system", str(speech_output[0]), speech_output[2])

    # if news were selected (with news_id), save that to mt_newsAPI table
    # if len(speech_output) > 3:
    #     update_news_id(session, speech_output[3])

    return build_response(session_attributes, build_speechlet_response(
        card_title, speech_output, reprompt_text, should_end_session))


def select_random_utterance():
    return random.choice(utterances)


def log(event):
    try:
        if 'conversationId' in json.dumps(event):
            # log_table.put_item(
            #     Item={
            #         'timestamp': event["request"]["timestamp"],
            #         'event': json.dumps(event)
            #     }
            # )

            convId_table.put_item(
                Item={
                    'conv_id': event["request"]["body"]["conversationId"],
                    'event': json.dumps(event)
                }
            )
    except:
        pass

def log_confidence(event):
    try:
        # print(json.dumps(event))
        confidence_scores.put_item(
                Item={
                    'sessionID': event["session"]["sessionId"],
                    'utterance': json.dumps(event['request']['intent']["slots"]["All"]["value"]),
                    'event': json.dumps(event)
                }
            )
    except:
        pass

# --------------- 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'])

    # create the session db object
    #start_db_session(session)
    #start_db_ner(session)


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 == "GetAnswer":
        return get_answer(intent_request, session)
    elif intent_name == "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'])
    log(event)
    log_confidence(event)

    """
    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'])