python 47 lines · 2 tabs

Django channels for WebSockets and async

Priya Sharma Jan 2026

2 tabs

import json
from channels.generic.websocket import AsyncWebsocketConsumer


class ChatConsumer(AsyncWebsocketConsumer):
    async def connect(self):
        self.room_name = self.scope['url_route']['kwargs']['room_name']
        self.room_group_name = f'chat_{self.room_name}'

        # Join room group
        await self.channel_layer.group_add(
            self.room_group_name,
            self.channel_name
        )
        await self.accept()

    async def disconnect(self, close_code):
        # Leave room group
        await self.channel_layer.group_discard(
            self.room_group_name,
            self.channel_name
        )

    async def receive(self, text_data):
        data = json.loads(text_data)
        message = data['message']

        # Send message to room group
        await self.channel_layer.group_send(
            self.room_group_name,
            {
                'type': 'chat_message',
                'message': message
            }
        )

    async def chat_message(self, event):
        # Send message to WebSocket
        await self.send(text_data=json.dumps({
            'message': event['message']
        }))

from django.urls import path
from . import consumers

websocket_urlpatterns = [
    path('ws/chat/<str:room_name>/', consumers.ChatConsumer.as_asgi()),
]

2 files · python Explain with highlit

Django Channels adds WebSocket support and async capabilities. I define consumers similar to views for handling connections. The channel layer enables communication between consumers. For real-time features like chat or notifications, Channels is essential. I use async consumers for better performance. Redis serves as the channel layer backend. Routing maps URLs to consumers. This extends Django beyond HTTP request-response to long-lived connections and background tasks.

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