Extended callback syntax

The DjangoDash class allows callbacks to request extra arguments when registered.

To do this, simply replace callback with expanded_callback when registering any callback. This will cause all of the callbacks registered with this application to receive extra kwargs in addition to the callback parameters.

For example, the plotly_apps.py example contains this dash application:

import dash
import dash_core_components as dcc
import dash_html_components as html

from django_plotly_dash import DjangoDash

a2 = DjangoDash("Ex2")

a2.layout = html.Div([
    dcc.RadioItems(id="dropdown-one",options=[{'label':i,'value':j} for i,j in [
    ("O2","Oxygen"),("N2","Nitrogen"),("CO2","Carbon Dioxide")]


def callback_c(*args,**kwargs):
    da = kwargs['dash_app']
    return "Args are [%s] and kwargs are %s" %(",".join(args),str(kwargs))

The additional arguments, which are reported as the kwargs content in this example, include

dash_app:For stateful applications, the DashApp model instance
dash_app_id:The application identifier. For stateless applications, this is the (slugified) name given to the DjangoDash constructor. For stateful applications, it is the (slugified) unique identifier for the associated model instance.
session_state:A dictionary of information, unique to this user session. Any changes made to its content during the callback are persisted as part of the Django session framework.
user:The Django User instance.

The DashApp model instance can also be configured to persist itself on any change. This is discussed in the Django models and application state section.

Using session state

The walkthrough of the session state example details how the XXX demo interacts with a Django session.

Unless an explicit pipe is created, changes to the session state and other server-side objects are not automatically propagated to an application. Something in the front-end UI has to invoke a callback; at this point the latest version of these objects will be provided to the callback. The same considerations as in other Dash live updates apply.

The live updating section discusses how django-plotly-dash provides an explicit pipe that directly enables the updating of applications.