No project description provided
Project description
Creating a standalone WebSocket Server with FastApi and JWT Authentication in Python
In this post, I will show you how to create a WebSocket server in Python that uses JWT tokens for authentication. The server is designed to be independent of the main process, making it easy to integrate into existing applications. The client-side JavaScript will handle reconnections incrementally.
The WebSocket server will be created using FastApi, the web framework built on top of Starlette. This is the entrypoint.
import logging
from fastapi import FastAPI
from lib.websockets import setup_app
logging.basicConfig(
format='%(asctime)s [%(levelname)s] %(message)s',
level='INFO',
datefmt='%d/%m/%Y %X')
logger = logging.getLogger(__name__)
SECRET_KEY = "your_secret_key"
app = FastAPI()
app = setup_app(
app=app,
base_path='/ws',
jwt_secret_key=SECRET_KEY,
)
The setup_app function is defined in the lib.websockets module. This function will set up the WebSocket server and the necessary routes.
def setup_app(app, jwt_secret_key: str, base_path='/ws', jwt_algorithm: str = "HS256"):
ws_router = get_ws_router(
jwt_secret_key=jwt_secret_key,
jwt_algorithm=jwt_algorithm,
base_path=base_path
)
current_dir = Path(__file__).parent
static_dir = current_dir / "static/js"
app.mount("/js", StaticFiles(directory=static_dir), name="js")
app.include_router(ws_router)
return app
The get_ws_router function is defined in the same module. This function will create the WebSocket router and the necessary routes.
def get_ws_router(jwt_secret_key: str, base_path='ws', jwt_algorithm: str = "HS256"):
ws_router = APIRouter()
current_dir = Path(__file__).parent
static_dir = current_dir / "static/js"
ws_router.mount(f"{base_path}/js", StaticFiles(directory=static_dir), name="js")
manager = ConnectionManager(jwt_secret_key=jwt_secret_key, jwt_algorithm=jwt_algorithm)
@ws_router.post(f"{base_path}/emmit")
async def emmit_endpoint(request: Request):
payload = await request.json()
await manager.broadcast(payload["channel"], payload["payload"])
return True
@ws_router.websocket(f"{base_path}/")
async def websocket_endpoint(websocket: WebSocket):
token = websocket.query_params.get("token")
if not token:
await websocket.close(code=1008)
raise HTTPException(status_code=401, detail="Token required")
await manager.connect(websocket, token)
try:
while True:
message: Message = await websocket.receive()
if message["type"] == "websocket.disconnect":
manager.disconnect(websocket)
break
except WebSocketDisconnect:
manager.disconnect(websocket)
return ws_router
Websockets are bidirectional communication channels that allow real-time data transfer between clients and servers, but I prefer to avoid the communication from the client to the server. When a client wants to send a message to the server, it will send an HTTP POST request to the /emit endpoint (via the main process). The server will then broadcast the message to all connected clients. The client will only receive messages from the server. Because of that we need a main wsgi process using FastApi or another web framework to handle the HTTP requests.
This an example with FastApi:
<!DOCTYPE html>
<html>
<head>
<title>Chat</title>
</head>
<body>
<h1>WebSocket Chat</h1>
<input type="text" id="messageText" autocomplete="off"/>
<button onclick="sendMessage()">Send</button>
<ul id='messages'>
</ul>
<script src="//localhost:8000/js/websockets.js"></script>
<script>
async function sendMessage() {
const channel = 'chat';
const url = `/emit/${channel}`;
const input = document.getElementById("messageText");
const message = input.value;
input.value = '';
const body = JSON.stringify({channel: 'chat1', payload: message});
const headers = {'Content-Type': 'application/json'};
try {
const response = await fetch(url, {method: 'POST', headers: headers, body: body});
} catch (error) {
console.error('Error:', error);
}
}
(async function () {
const getToken = async () => {
const response = await fetch('/token');
const {token} = await response.json();
return token;
};
const messageCallback = (event) => {
const messages = document.getElementById('messages');
const message = document.createElement('li');
message.textContent = event.data;
messages.appendChild(message);
};
const wsManager = new WebSocketManager('ws://localhost:8000/ws/', getToken, messageCallback);
await wsManager.connect();
})();
</script>
</body>
</html>
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file asgi_ws-0.1.1.tar.gz.
File metadata
- Download URL: asgi_ws-0.1.1.tar.gz
- Upload date:
- Size: 3.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.9.13 Darwin/24.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7ccdd3f699e93a176b8e1fe51a16426c87218605a817e4828a687a41463ac2b8
|
|
| MD5 |
3b3d182e0ed241778f09c18e6f92368e
|
|
| BLAKE2b-256 |
d7acc37f243af01882f48c2496e6707f8df56a4c78346cd5b426edfb0e926e45
|
File details
Details for the file asgi_ws-0.1.1-py3-none-any.whl.
File metadata
- Download URL: asgi_ws-0.1.1-py3-none-any.whl
- Upload date:
- Size: 4.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.9.13 Darwin/24.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e2f2c59049b1f9009accde74336a2d8139a7b2350ab6f4e424038e0de9d22450
|
|
| MD5 |
4ed87a083aa9928d12f8aa4c9c44af08
|
|
| BLAKE2b-256 |
b7e6ee6338930377c72ecbbcf94327a646116ab84f3a054754f1a767726cae46
|
