Built for streamlining development of Google Assistant Actions

Andrew Graham-Yooll

Last update: May 16, 2019

Related tags

Third-party APIs Wrappers python serverless google-voice google-cloud-functions google-actions dialogflow dialogflow-action

Overview

Apprentice

Apprentice is a framework built for developing Google Actions via Dialogflow and Google Cloud (serverless) Functions.

Includes:

plug-and-play feel to get going quickly
basic Dialogflow API 2.0 response handling
local setup for quick iteration

Installation

pip install apprentice

Quickstart

We recommend you read the full tutorial here.

A Google Action project will consist of two things:

Dialogflow Intent
A webhook to satisfy your users intent

To generate a "Hello World" webhook, run:

$ apprentice init

This will create a file structure:

src/
    main.py
    requirements.txt

Run a local server with

$ apprentice run

and expose to localhost port via an https tunnel. Then add the url to the fulfillment webhook in Dialogflow.

For a more indepth example please see the tutorial I wrote here.

Deployment

Note

gcloud cli must be installed and authorized for the following command to work. If you wish to not have gcloud cli installed, you can copy the file contents via the gcloud function dashboard.

$ apprentice -f hello_world -s hello_world_agent -e hello_world

This will generate the command to execute a gcloud function deploy via the cli.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

GNU 3.0

Comments

Increase the usability of the Apprentice API

This is what I could imagine the API for Apprentice looking like:


from apprentice import Apprentice

apr = Apprentice(__name__)

ENTITIES = {
    "name": "History",
    "entries": [
        {
            "value": "history",
            "synonyms": [
                "history",
                "past event",
                "the past",
                "past"
            ]
        }, {
            "value": "birth",
            "synonyms": [
                "birth",
                "births",
                "born"
            ]
        }
    ]
}


@apr.action(entities=['name'])
def cool_fact_generator(*args, **kwargs):
    reply = _fact_response(apr.entity)
    return apr.make_repsonse(reply)

opened by andrewgy8 1

Add suggestions

When creating a response a user should be able to configure the view of suggestions.

The resulting payload would look like:

'payload': {
                'google': {
                    'expect_user_response': False,
                    'is_ssml': True,
                    'permissions_request': None,
                    "richResponse": {
                        "items": [],
                        "suggestions": [],
                        "linkOutSuggestion": {}
                    }
                }
            }

opened by andrewgy8 0

.env with the Flask App path
For the local server to work as plug-and-play, it would be nice to have .env file that is read as a default to the installed main.py flask app. That way a user could execute:

apprentice init

apprentice run

And have the local server running immediately.
opened by andrewgy8 0
Fix triplicate deployment issue

It seems that travis is trying to deploy the package with every version of python declared. For instance, https://travis-ci.com/andrewgy8/apprentice/builds/93792889

The build succeeds with 3.7, but with 3.6 and 3.5, it fails. It shouldn't be deploying with all the python versions, only one.

opened by andrewgy8 0
Allow user to define init directory name and function name

Be able to handle and argument such as:

apprentice init --name=foo_bar

and the output should be a direct called /foo_bar with a main.py file containing a foo_bar function.
enhancement

opened by andrewgy8 0

Releases(v0.4.4)

v0.4.4(May 16, 2019)

Source code(tar.gz)
Source code(zip)
v0.4.3(May 16, 2019)

Source code(tar.gz)
Source code(zip)
v0.4.2(Mar 23, 2019)

Source code(tar.gz)
Source code(zip)
v0.4.1(Mar 23, 2019)

Source code(tar.gz)
Source code(zip)
v0.4.0(Jan 10, 2019)
SimpleResponse and BasicCardResponse per the docs

Add .editorconfig

Update example to use the new response objects

Source code(tar.gz)
Source code(zip)
v0.3.1(Dec 20, 2018)
v0.3.1

Remove nested directories from init command

Update the readme

Source code(tar.gz)
Source code(zip)
v0.3.0(Dec 9, 2018)

Encapsulate all functions in the apprentice class
Source code(tar.gz)
Source code(zip)
v0.2.0(Dec 6, 2018)
Update to Dialogflow API 2.0

Fix routing issue

Source code(tar.gz)
Source code(zip)
v0.1.7(Dec 6, 2018)
Clean up the public API interface for Apprentice (#24)

Implement Apprentice class.

Built in flask app.

No need to instantiate a flask app yourself

Update commands and readme with new api interface

Source code(tar.gz)
Source code(zip)
v0.1.6(Nov 18, 2018)

Source code(tar.gz)
Source code(zip)
v0.1.5(Nov 17, 2018)

Source code(tar.gz)
Source code(zip)
v0.1.4(Nov 17, 2018)

Source code(tar.gz)
Source code(zip)
v0.1.3(Nov 17, 2018)

Source code(tar.gz)
Source code(zip)
v0.1.2(Nov 17, 2018)

Source code(tar.gz)
Source code(zip)
v0.1.1(Nov 17, 2018)

Source code(tar.gz)
Source code(zip)

Owner

Andrew Graham-Yooll

Software engineer with background in molecular biology

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Built for streamlining development of Google Assistant Actions

Related tags

Overview

Apprentice

Installation

Quickstart

Deployment

Note

Contributing

License

Comments

Increase the usability of the Apprentice API

Add suggestions

.env with the Flask App path

Fix triplicate deployment issue

Allow user to define init directory name and function name

Releases(v0.4.4)

v0.4.4(May 16, 2019)

v0.4.3(May 16, 2019)

v0.4.2(Mar 23, 2019)

v0.4.1(Mar 23, 2019)

v0.4.0(Jan 10, 2019)

v0.3.1(Dec 20, 2018)

v0.3.1

v0.3.0(Dec 9, 2018)

v0.2.0(Dec 6, 2018)

v0.1.7(Dec 6, 2018)

v0.1.6(Nov 18, 2018)

v0.1.5(Nov 17, 2018)

v0.1.4(Nov 17, 2018)

v0.1.3(Nov 17, 2018)

v0.1.2(Nov 17, 2018)

v0.1.1(Nov 17, 2018)

Owner

Andrew Graham-Yooll

Dante, my discord bot. Open source project in development and not optimized for other filesystems, install and setup script in development

Use GitHub Actions to create a serverless service.

HTTP Calls to Amazon Web Services Rest API for IoT Core Shadow Actions 💻🌐💡

Automatic SystemVerilog linting in github actions with the help of Verible

Automate HoYoLAB Genshin Daily Check-In Using Github Actions

Mini Tool to lovers of debe from eksisozluk (one of the most famous website -reffered as collaborative dictionary like reddit- in Turkey) for pushing debe (Most Liked Entries of Yesterday) to kindle every day via Github Actions.

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