starsessions 1.0.2

Pluggable session support for Starlette.

Pluggable session support for Starlette and FastAPI frameworks

This package 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

Quick start

See example application in example/ 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

InMemoryBackend

Simply stores data in memory. The data is not persisted across requests. Mostly for use with unit tests.

CookieBackend

Stores session data in a signed cookie on the client. This is the default backend.

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