Files
BanGUI/backend/app/utils/session_cache.py
Lukas d982fe3efc TASK-003: Document process-local constraint for RuntimeState and SessionCache
- Add comprehensive docstring to runtime_state.py explaining single-process
  constraint, impacts in multi-worker deployments, and solution approach
- Add comprehensive docstring to session_cache.py explaining process-local
  cache limitation, security implications, and Redis/database alternatives
- Update Architecture.md to clarify session cache is process-local and
  describe single-worker enforcement via TASK-002
- Update Architecture.md runtime state section with detailed explanation of
  per-process state and multi-worker impacts
- Add Backend-Development.md section 13.7.2 documenting session cache
  pluggability pattern with example Redis implementation
- All tests pass; linting passes; type checking has pre-existing errors

This is the short-term fix for TASK-003: enforce single-worker deployment
(TASK-002) and document the constraint clearly. The long-term fix (Redis
backend) is deferred as a follow-up.
2026-04-26 11:43:34 +02:00

118 lines
4.1 KiB
Python

"""Pluggable session cache abstraction.
This module defines a cache interface for authenticated sessions and a default
process-local in-memory implementation. The backend can swap the cache
implementation without changing the authentication dependency logic.
⚠️ PROCESS-LOCAL CONSTRAINT (InMemorySessionCache)
====================================================
InMemorySessionCache stores validated sessions in a process-local dict.
This means:
- Each worker process has its own independent session cache.
- A session invalidated (logout) by worker A is still valid in worker B.
- Changes to the cache in one process are NOT visible to other processes.
IMPACT IN MULTI-WORKER DEPLOYMENTS:
- User logs out (worker A clears session from its cache).
- User makes a new request → routed to worker B.
- Worker B still has the stale session in its cache → request is accepted.
- User appears still logged in (from their perspective).
This is a security issue: logout does not work reliably across workers.
MULTI-WORKER SOLUTION:
To deploy BanGUI with multiple workers (e.g., via gunicorn -w 4), replace
InMemorySessionCache with a shared backend such as:
- RedisSessionCache — backed by Redis (recommended for production).
- DatabaseSessionCache — backed by SQLite or PostgreSQL.
- SharedMemorySessionCache — backed by IPC (for local multi-process).
The SessionCache Protocol is already designed for pluggable backends:
class SessionCache(Protocol):
def get(token: str) -> Session | None: ...
def set(token: str, session: Session, ttl_seconds: float) -> None: ...
def invalidate(token: str) -> None: ...
def clear() -> None: ...
To add Redis support:
1. Create RedisSessionCache in this module (implements SessionCache).
2. Update runtime_state.set_runtime_settings() to instantiate RedisSessionCache
when REDIS_URL is configured.
3. See Backend-Development.md § "Session Cache Pluggability" for details.
SINGLE-WORKER ENFORCEMENT:
See TASK-002 in Docs/Tasks.md for deployment configuration that enforces
single-worker mode, preventing this issue entirely.
For now, BanGUI is deployed as single-worker only — this constraint is
acceptable and keeps the implementation simple.
"""
from __future__ import annotations
import time
from typing import TYPE_CHECKING, Protocol
if TYPE_CHECKING: # pragma: no cover
from app.models.auth import Session
class SessionCache(Protocol):
"""Interface for session token validation cache backends."""
def get(self, token: str) -> Session | None:
"""Return the cached session for *token*, or ``None`` if missing."""
def set(self, token: str, session: Session, ttl_seconds: float) -> None:
"""Cache the validated *session* for *token* for *ttl_seconds*."""
def invalidate(self, token: str) -> None:
"""Remove *token* from the cache if it exists."""
def clear(self) -> None:
"""Remove all entries from the cache."""
class InMemorySessionCache:
"""A process-local session cache implementation."""
def __init__(self) -> None:
self._entries: dict[str, tuple[Session, float]] = {}
def get(self, token: str) -> Session | None:
entry = self._entries.get(token)
if entry is None:
return None
session, expires_at = entry
if time.monotonic() >= expires_at:
self._entries.pop(token, None)
return None
return session
def set(self, token: str, session: Session, ttl_seconds: float) -> None:
self._entries[token] = (session, time.monotonic() + ttl_seconds)
def invalidate(self, token: str) -> None:
self._entries.pop(token, None)
def clear(self) -> None:
self._entries.clear()
class NoOpSessionCache:
"""A no-op session cache used when caching is disabled."""
def get(self, token: str) -> Session | None:
return None
def set(self, token: str, session: Session, ttl_seconds: float) -> None:
return None
def invalidate(self, token: str) -> None:
return None
def clear(self) -> None:
return None