Files
microdao-daarion/services/matrix-bridge-dagi/app/rate_limit.py
Apple a4e95482bc feat(matrix-bridge-dagi): add rate limiting (H1) and metrics (H3)
H1 — InMemoryRateLimiter (sliding window, no Redis):
  - Per-room: RATE_LIMIT_ROOM_RPM (default 20/min)
  - Per-sender: RATE_LIMIT_SENDER_RPM (default 10/min)
  - Room checked before sender — sender quota not charged on room block
  - Blocked messages: audit matrix.rate_limited + on_rate_limited callback
  - reset() for ops/test, stats() exposed in /health

H3 — Extended Prometheus metrics:
  - matrix_bridge_rate_limited_total{room_id,agent_id,limit_type}
  - matrix_bridge_send_duration_seconds histogram (invoke was already there)
  - matrix_bridge_invoke_duration_seconds buckets tuned for LLM latency
  - matrix_bridge_rate_limiter_active_rooms/senders gauges
  - on_invoke_latency + on_send_latency callbacks wired in ingress loop

16 new tests: rate limiter unit (13) + ingress integration (3)
Total: 65 passed

Made-with: Cursor
2026-03-05 00:54:14 -08:00

112 lines
3.7 KiB
Python

"""
In-memory rate limiter for matrix-bridge-dagi (H1)
Sliding window algorithm — no external dependencies (no Redis needed for M1).
Thread-safe within a single asyncio event loop.
Two independent limiters per message:
- room limiter: max N messages per room per minute
- sender limiter: max N messages per sender per minute
Usage:
rl = InMemoryRateLimiter(room_rpm=20, sender_rpm=10)
allowed, limit_type = rl.check(room_id="!abc:server", sender="@user:server")
if not allowed:
# reject, audit matrix.rate_limited
"""
import time
from collections import defaultdict, deque
from typing import Deque, Dict, Optional, Tuple
class InMemoryRateLimiter:
"""
Sliding-window rate limiter, independent per room and per sender.
Windows are pruned lazily on each check — no background task needed.
Each bucket stores timestamps (float) of accepted events within the window.
"""
_WINDOW_S: float = 60.0 # 1-minute window
def __init__(self, room_rpm: int = 20, sender_rpm: int = 10) -> None:
if room_rpm < 1 or sender_rpm < 1:
raise ValueError("RPM limits must be >= 1")
self._room_rpm = room_rpm
self._sender_rpm = sender_rpm
# buckets: key → deque of accepted timestamps
self._room_buckets: Dict[str, Deque[float]] = defaultdict(deque)
self._sender_buckets: Dict[str, Deque[float]] = defaultdict(deque)
@property
def room_rpm(self) -> int:
return self._room_rpm
@property
def sender_rpm(self) -> int:
return self._sender_rpm
def check(self, room_id: str, sender: str) -> Tuple[bool, Optional[str]]:
"""
Check if message is allowed.
Returns:
(True, None) — allowed
(False, "room") — room limit exceeded
(False, "sender") — sender limit exceeded
Room is checked first; if room limit hit, sender bucket is NOT updated
to avoid penalising user's quota for messages already blocked.
"""
now = time.monotonic()
cutoff = now - self._WINDOW_S
# Check room
room_bucket = self._room_buckets[room_id]
self._prune(room_bucket, cutoff)
if len(room_bucket) >= self._room_rpm:
return False, "room"
# Check sender
sender_bucket = self._sender_buckets[sender]
self._prune(sender_bucket, cutoff)
if len(sender_bucket) >= self._sender_rpm:
return False, "sender"
# Both allowed — record
room_bucket.append(now)
sender_bucket.append(now)
return True, None
def reset(self, room_id: Optional[str] = None, sender: Optional[str] = None) -> None:
"""Clear buckets — useful for tests or manual ops reset."""
if room_id is not None:
self._room_buckets.pop(room_id, None)
if sender is not None:
self._sender_buckets.pop(sender, None)
def stats(self) -> dict:
"""Read-only snapshot of current bucket sizes (for /health or ops)."""
now = time.monotonic()
cutoff = now - self._WINDOW_S
return {
"room_rpm_limit": self._room_rpm,
"sender_rpm_limit": self._sender_rpm,
"active_rooms": sum(
1 for b in self._room_buckets.values()
if any(t > cutoff for t in b)
),
"active_senders": sum(
1 for b in self._sender_buckets.values()
if any(t > cutoff for t in b)
),
}
@staticmethod
def _prune(bucket: Deque[float], cutoff: float) -> None:
"""Remove timestamps older than the window."""
while bucket and bucket[0] <= cutoff:
bucket.popleft()