Pluggable session support for Starlette.
Project description
Pluggable session support for Starlette and FastAPI frameworks
This package is based on this long standing pull request in the mainstream by the same author.
Installation
Install starsessions
using PIP or poetry:
pip install starsessions
# or
poetry add starsessions
Use redis
extra for Redis support.
Quick start
See example application in examples/
directory of this repository.
Enable session support
In order to enable session support add starsessions.SessionMiddleware
to your application.
from starlette.applications import Starlette
from starlette.middleware import Middleware
from starsessions import SessionMiddleware
middleware = [
Middleware(SessionMiddleware, secret_key='TOP SECRET'),
]
app = Starlette(middleware=middleware, **other_options)
Session autoloading
Note, for performance reasons session won't be autoloaded by default, you need to explicitly
call await request.session.load()
before accessing the session otherwise SessionNotLoaded
exception will be raised.
You can change this behavior by passing autoload=True
to your middleware settings:
Middleware(SessionMiddleware, secret_key='TOP SECRET', autoload=True)
Default session backend
The default backend is CookieBackend
. You don't need to configure it just pass secret_key
argument and the backend
will be automatically configured for you.
Change default backend
When you want to use a custom session storage then pass a desired backend instance via backend
argument of the
middleware.
from starlette.applications import Starlette
from starlette.middleware.sessions import SessionMiddleware
from starlette.sessions import CookieBackend
backend = CookieBackend(secret_key='secret', max_age=3600)
app = Starlette()
app.add_middleware(SessionMiddleware, backend=backend)
Built-in backends
Memory
Class: starsessions.InMemoryBackend
Simply stores data in memory. The data is cleared after server restart. Mostly for use with unit tests.
CookieBackend
Class: starsessions.CookieBackend
Stores session data in a signed cookie on the client. This is the default backend.
Redis
Class: starsessions.backends.redis.RedisBackend
Requires aioredis, use
pip install starsessions[redis]
orpoetry add starsessions[redis]
Stores session data in a Redis server. The backend accepts either connection URL or an instance of aioredis.Redis
.
import aioredis
from starsessions.backends.redis import RedisBackend
backend = RedisBackend('redis://localhost')
# or
redis = aioredis.from_url('redis://localhost')
backend = RedisBackend(connection=redis)
Custom backend
Creating new backends is quite simple. All you need is to extend starsessions.SessionBackend
class and implement abstract methods.
Here is an example of how we can create a memory-based session backend. Note, it is important that write
method
returns session ID as a string value.
from starlette.sessions import SessionBackend
from typing import Dict
# instance of class which manages session persistence
class InMemoryBackend(SessionBackend):
def __init__(self):
self._storage = {}
async def read(self, session_id: str) -> Dict:
""" Read session data from a data source using session_id. """
return self._storage.get(session_id, {})
async def write(self, data: Dict, session_id: str = None) -> str:
""" Write session data into data source and return session id. """
session_id = session_id or await self.generate_id()
self._storage[session_id] = data
return session_id
async def remove(self, session_id: str):
""" Remove session data. """
del self._storage[session_id]
async def exists(self, session_id: str) -> bool:
return session_id in self._storage
Serializers
Sometimes you cannot pass raw session data to the backend. The data must be serialized into something the backend can handle.
Some backends (like RedisBackend
) optionally accept serializer
argument that will be used to serialize and
deserialize session data. By default, we provide (and use) starsessions.JsonSerializer
but you can implement your own
by extending starsessions.Serializer
class.
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