Alexa skill ki(ASK)を使って、Datadogからの回答が取れるか？

$ pip install flask-ask
$ pip install datadog

$ cd /path/to/ngrok
$ unzip ngrok.zip
$ mv ngork ~/Applications/

$ cd ~
$ mkdir ymabiko
$ cd mymabiko

├── dogfood.py
├── speech_assets
│   ├── IntentSchema.json
│   ├── SampleUtterances.txt
│   └── customSlotTypes
│       └── LIST_OF_METRIC
├── templates.yaml
└── yamabiko.py

#! /usr/bin/env python

from datadog import initialize, api
import time

options = {
    'api_key': '81df64ebed3a1ddf6ebf3b148e70b29e',
    'app_key': 'a18c26f402f1fd0901eb291e21db769c6648cb5a'
}

initialize(**options)


def cpu_idle_query(now):
    query = 'system.cpu.idle{*} by {*}'
    try:
        api_call_response = api.Metric.query(start=now - 60, end=now, query=query)
        metric_value = api_call_response['series'][-1]['pointlist'][-1][-1]
    except:
        metric_value = "not able to get the value"

    return metric_value


def get_metric_value(now, metric):

    if metric.lower() == 'cpu':
        response = cpu_idle_query(now)
    elif metric.lower() == 'hdd':
        response = 'not available'
    else:
        response = None

    return response


def main():
    now = int(time.time())
    metrics = ['CPU', 'HDD', 'Memory']

    for metric in metrics:
        print get_metric_value(now, metric)


if __name__ == '__main__':
    main()

import logging

from flask import Flask, json, render_template
from flask_ask import Ask, request, session, question, statement
from dogfood import get_metric_value
import time

app = Flask(__name__)
ask = Ask(app, "/")
logging.getLogger('flask_ask').setLevel(logging.DEBUG)


@ask.launch
def launch():
    card_title = render_template('card_title')
    question_text = render_template('welcome')
    reprompt_text = render_template('welcome_reprompt')
    return question(question_text).reprompt(reprompt_text).simple_card(card_title, question_text)


@ask.intent('WhatsTheValueIntent', mapping={'metric': 'Metric'})
def metric_is(metric):
    card_title = render_template('card_title')
    now = int(time.time())
    if metric is not None:
        metric_value = get_metric_value(now, metric)
        if metric_value is None:
            question_text = render_template('unknown_metric_reprompt')
            return question(question_text).reprompt(question_text).simple_card(card_title, question_text)
        if type(metric_value) is not str:
            metric_value = str(metric_value)
        statement_text = render_template('known_metric_bye', metric=metric, value=metric_value)
        return statement(statement_text).simple_card(card_title, statement_text)
    else:
        question_text = render_template('unknown_metric_reprompt')
        return question(question_text).reprompt(question_text).simple_card(card_title, question_text)


@ask.session_ended
def session_ended():
    return "", 200


if __name__ == '__main__':
    app.run(debug=True)

card_title: Yamabiko

welcome: |
    Welcome to the Hachi sample. Please tell me what metric value you need by saying like, I want cpu value

welcome_reprompt: Please tell me what metric value you need by saying like , I want cpu value

known_metric_bye: Value for {{ metric }} is {{ value }}. Have a nice day.

unknown_metric_reprompt: |
    I'm not sure what you need |
    Please tell me what metric value you need by saying like , I want cpu value

{
  "intents": [
    {
      "intent": "WhatsTheValueIntent",
      "slots": [
        {
          "name": "Metric",
          "type": "LIST_OF_METRIC"
        }
      ]
    }
  ]
}

WhatsTheValueIntent I want to know {Metric}
WhatsTheValueIntent I want to know {Metric} value
WhatsTheValueIntent give me {Metric}
WhatsTheValueIntent give me {Metric} value
WhatsTheValueIntent I would like to know {Metric}
WhatsTheValueIntent I need to know {Metric}
WhatsTheValueIntent I need to know {Metric} value
WhatsTheValueIntent how about {Metric}

cpu
hdd
network
memory

$ cd /path/to/yamabiko
$ python yamabiko.py
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
* Restarting with stat
* Debugger is active!
* Debugger pin code: 128-893-675

$ cd ~/Applications
$ ./ngrok http 5000

ngrok by @inconshreveable                                       (Ctrl+C to quit)

Session Status                online
Version                       2.1.18
Region                        United States (us)
Web Interface                 http://127.0.0.1:4040
Forwarding                    http://4c7c8258.ngrok.io -> localhost:5000
Forwarding                    https://4c7c8258.ngrok.io -> localhost:5000

Connections                   ttl     opn     rt1     rt5     p50     p90
                              0       0       0.00    0.00    0.00    0.00