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A Python package for building Alexa skills.

Project description

|PyPIVersion| |BuildStatus| |Coverage|

A Python package for building Amazon Alexa skills.

Features

  • Request and response objects for custom skills

  • Simple definition of response logic for each request type

  • Built-in request parsing/validation, intent dispatch, and response construction

Installation

pip install skillful

Example

import skillful
from skillful.tests import data

application_id = 'amzn1.echo-sdk-ams.app.000000-d0ed-0000-ad00-000000d00ebe'
skill = skillful.Skill(application_id)

@skill.launch
def on_launch():
    print('Launched: {}'.format(skill.request.session.session_id))
    text = 'Welcome to skillful. Would you like to build an Alexa skill?'
    skill.response.set_speech_text(text)
    ssml = ('<speak>Please tell me if you would like to build an Alexa '
            'skill.</speak>')
    skill.response.set_reprompt_ssml(ssml)

@skill.intent('yes')
def on_intent_yes():
    text = ('Great! Building Alexa skills is easy with skillful. Open '
            'the Alexa app to see more information on skillful, a '
            'Python package for building Alexa skills.')
    skill.response.set_speech_text(text)
    title = 'skillful'
    content = ('A Python package for building Alexa skills.\n\n'
               'Visit: https://github.com/bmweiner/skillful')
    skill.response.set_card_simple(title, content)
    skill.terminate()

@skill.intent('no')
def on_intent_no():
    text = ('Well, if you change your mind, open the Alexa app to see '
            'more information on skillful, a Python package for '
            'building Alexa skills.')
    skill.response.set_speech_text(text)
    title = 'skillful'
    content = ('A Python package for building Alexa skills.\n\n'
               'Visit: https://github.com/bmweiner/skillful')
    skill.response.set_card_simple(title, content)
    skill.terminate()

@skill.session_ended
def on_session_ended():
    print('Ended: {}'.format(skill.request.session.session_id))
    skill.terminate()

# simulate request body
body = data.SAMPLE_LAUNCH_REQUEST
skill.process(body)

Output:

Launched: amzn1.echo-api.session.0000000-0000-0000-0000-00000000000

{
  "version": "1.0",
  "response": {
    "outputSpeech": {
      "text": "Welcome to skillful. Would you like to build an Alexa skill?",
      "type": "PlainText"
    },
    "shouldEndSession": false,
    "reprompt": {
      "outputSpeech": {
        "ssml": "<speak>Please tell me if you would like to build an Alexa skill.</speak>",
        "type": "SSML"
      }
    }
  }
}

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