apiaiwebhook 0.1.0.dev2

API.AI Webhook is a fulfillment microframework for API.AI based on Flask for getting started quickly with API.AI webhooks.

# API.AI Webhook 

API.AI Webhook is a fulfillment microframework for [API.AI](https://api.ai/) based on [Flask](http://flask.pocoo.org/) for getting started quickly with API.AI [webhooks](https://docs.api.ai/docs/webhook).

## Users' Guide

### Quick Start

Install the package with

pip install apiaiwebhook

A minimal api.ai Webhook application looks like this:

from apiaiwebhook import APIAIWebhook
app = APIAIWebhook(__name__)

@app.fulfillment("hello-world")
def hello_world():
return app.make_response_apiai(speech="Hello World!")

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

To run the application, just execute the python file:

python hello_world.py

To test the application, you can use either the in-built api.ai test client

app.testing = True
res = app.test_client_apiai().webhook(action="hello-world"})
assert res.status_code == 200
assert ""Hello, World!" in res.data

Or you can use curl

curl -X POST -H "Content-Type: application/json" -d '{"result": {"action": "hello-world"}}' http://127.0.0.1:5000/webhook

### Parameters

The parameters are extracted from `results/parameters`.
This dictionary is passed to the fulfillment function via `**` operator (unpacked):

{
"results": {
"action": "hello-world",
"parameters": {
"parameter": "example value"
}
}
}

The fulfillment function declaration should look like this:

@app.fulfillment("hello-world")
def hello_world(parameter = None, **kwargs):
return app.make_response_apiai(speech="Hello, %s!" % parameter)

The default value is required when the parameter can be empty.
Kwargs is useful when additional parameters are expected in the future.

### Response
The webhook dispatcher responses:

* HTTP 400 when `api_key_value` is defined but it the authentication header is not provided.
* HTTP 401 when `api_key_value` is defined but it is invalid.
* HTTP 404 when fulfillment function is not defined for the provided action.

Otherwise it returns a valid application/json content-type HTTP response.
The response can be create using the helper function of `make_response_apiai()`

Example:

@app.fulfillment("hello-world")
def my_fulfillment_none():
return app.make_response_apiai(speech="Hello, World!"
display_text="Hello, World! I am please to meet you!")

The response will be like:

{
"speech": "Hello, World!",
"displayText": "Hello, World! I am please to meet you!",
"data": None,
"contextOut": [],
"source": <name of Flask application>,
"followupEvent": None
}

### Securing
The `APIAIWebhook` class defines the initialization parameters of `api_key_header` (default is `api-key`) and `api_key_value` (default is `None`) parameters.

In order to secure your webhook, define a shared secret:

from apiaiwebhook import APIAIWebhook
app = APIAIWebhook(__name__, api_key_value="secret")

Then configure the authentication header in your API.AI agent.

### Testing

The API.AI Webhook Client extends the Flask Client in order to post valid webhook messages.

app.testing = True
app.debug = True
r = app.test_client_apiai().webhook(action="hello-world",
parameters={"param": "value"})

### Flask
The `APIAIWebhook` class is derived from `Flask`. Visit the official [website](http://flask.pocoo.org/) to extend the functionality of API.AI Webhook

## Development

Before running or deploying this application, install the framework using
[pip](http://pip.readthedocs.io/en/stable/):

pip install -e .

To test the framework, execute the unit tests via:

python unit_tests.py