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