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ドロップボックスと連携してテキストファイルを朗読するAlexaスキルを開発しようとした話

Last updated at 2018-08-05Posted at 2018-08-05

#<背景>
最近EchoDotにはまり、Kindle本を読んでもらいながら車通勤の暇をつぶしています。
ふと、IR資料(投資も興味があるので・・・)とかKindle本以外にも読んでもらいたいものあるなーと思い、
自分で作るかーと思いました。

#<結論>
期待させるとあれなので結論を先に言うと、、、
AlexaスキルでDropboxのアカウントリンクができなかった。
原因：OAuth 2.0の認証のときにAlexaスキルの要求パラメータの"state"が671文字で
　　　Dropbox側の500文字制限を超えてしまっているため。
　　　現状、自分には解決方法が分からないです。。。

#<システム構成案>
Alexaスキル開発は1回やったことがあるので、DropBox経由でやろうかなーとか適当に考えました。
本当はPdfアップロードしてLambda側で変換させたり、自動収集をとか色々やろうと思ったけど、とりあえず後回し。

#AlexaSkill
AlexaSkill開発は色んな人がやっているので省略。以下、やったこと
①呼び出し名：あいあーるで登録
②インテント：read_kessan, サンプル発話＝けっさんをよんで
③ビルド・保存
④エンドポイントをLambdaに設定

#Lambda
Lambdaで実行するコードはこんな感じ

lambda_function.py

# -*- 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


# --------------- 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 - " + ""
        },
        '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、IR"
    speech_output = "IRを読むよ.何を読む?"
    # 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 = "何を読む？."
    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 = "おつ."
    # 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))


#テキストファイルの読み込み
def input_text(file_path):
    f = open(file_path)
    text = f.read()
    f.close
    return text

#決算を読む
def read_kessan():
    session_attributes = {}
    card_title = "kessan"
    text=input_text('sample3.txt')
    speech_output = text
    reprompt_text = ""
    should_end_session = False
    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 == "read_kessan":
        return read_kessan()
    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
    """
    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'])