woggioni
ec056a15b9
- Add a uv workspace at the repository root covering all packages/kaya-* members - Replace pip-compile requirements files with a committed uv.lock - Remove redundant per-package dev extras - Build and publish artifacts with uv build and uv publish in CI - Update the README with uv sync/run/build commands
kaya-session-memcache
Memcached-backed session storage for the Kaya web framework.
Provides MemcacheSessionStore, a SessionStore implementation (from
kaya-session) that persists session data in memcached via aiomcache, so
sessions are shared across processes and hosts.
Usage
import aiomcache
from kaya.core import KayaApp, HttpContext
from kaya.session import SessionMixin
from kaya.session.memcache import MemcacheSessionStore
client = aiomcache.Client('127.0.0.1', 11211)
session = SessionMixin(MemcacheSessionStore(client))
app = KayaApp(mixins=[session])
@app.GET('/')
async def home(ctx: HttpContext):
n = ctx.session.get('visits', 0) + 1
ctx.session['visits'] = n
await ctx.send_str(200, f'visits: {n}')
Sessions are stored under keys with the prefix kaya:session: (configurable
via the prefix argument). Server-side expiry uses memcached item expiration
and slides on each access when the session mixin passes a max_age. TTLs
larger than 30 days are automatically converted to absolute Unix timestamps,
as required by the memcached protocol.
Serialization
Session data is serialized with pickle by default, so arbitrary Python
objects can be stored. A different serializer can be plugged in via the
dumps/loads arguments:
import json
store = MemcacheSessionStore(
client,
dumps=lambda d: json.dumps(d).encode('utf-8'),
loads=lambda b: json.loads(b.decode('utf-8')),
)
Warning: pickle deserialization of untrusted data is unsafe. Only use the default serializer with a trusted memcached server.