First of all, we created a route named /api/request_chat where users can get a channel name where they can chat.

trigger (to_user_channel, 'new_chat', data ) return jsonify (data ) Also, we’ll send along data that looks like below when triggering this event: # Trigger an event to the other user

We’ll trigger this event once a user clicks on another user they want to chat with. So that means every logged in user will have a private notification channel where we can notify them anytime we want to.Īfter subscribing to the notifications channel (“private-notification-”), we will start to listen for an event we will name new_chat. This channel will be used to send notifications to the user. Then we subscribe this user to a private channel - private-notification-, where is the actual ID of the logged in user. Once a user logs in, we’ll redirect the user to the chat page. When naming your private channel, it needs to have a prefix of “private-”. This way we can authenticate a channels’ subscription to make sure users subscribing to it are actually authorized to do so. There are different types of channel, which we can subscribe to - public channel, private channel, presence channel and the encrypted channel.įor our app, we will make use of the private channel since the chat messages need to be only accessible by the two users involved. It has a publish/subscribe model where communication happens across channels. Pusher Channels provides us with realtime functionalities.

Part two - Create the chat interface, database design, login and registration endpoint.

If you haven’t followed the previous parts, you can catch it up here:

In this third tutorial, we will be implementing live chat and sentiment analysis.

You will need Node 8.9+ and Python 3.6+ installed on your machine.

Multi chat client py