Claude_Code / messaging /limiter.py
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"""
Global Rate Limiter for Messaging Platforms.
Centralizes outgoing message requests and ensures compliance with rate limits
using a strict sliding window algorithm and a task queue.
"""
import asyncio
import os
import time
from collections import deque
from collections.abc import Awaitable, Callable
from typing import Any
from loguru import logger
class SlidingWindowLimiter:
"""Strict sliding window limiter.
Guarantees: at most `rate_limit` acquisitions in any interval of length
`rate_window` (seconds).
Implemented as an async context manager so call sites can do:
async with limiter:
...
"""
def __init__(self, rate_limit: int, rate_window: float) -> None:
if rate_limit <= 0:
raise ValueError("rate_limit must be > 0")
if rate_window <= 0:
raise ValueError("rate_window must be > 0")
self._rate_limit = int(rate_limit)
self._rate_window = float(rate_window)
self._times: deque[float] = deque()
self._lock = asyncio.Lock()
async def acquire(self) -> None:
while True:
wait_time = 0.0
async with self._lock:
now = time.monotonic()
cutoff = now - self._rate_window
while self._times and self._times[0] <= cutoff:
self._times.popleft()
if len(self._times) < self._rate_limit:
self._times.append(now)
return
oldest = self._times[0]
wait_time = max(0.0, (oldest + self._rate_window) - now)
if wait_time > 0:
await asyncio.sleep(wait_time)
else:
await asyncio.sleep(0)
async def __aenter__(self) -> SlidingWindowLimiter:
await self.acquire()
return self
async def __aexit__(self, exc_type, exc, tb) -> bool:
return False
class MessagingRateLimiter:
"""
A thread-safe global rate limiter for messaging.
Uses a custom queue with task compaction (deduplication) to ensure
only the latest version of a message update is processed.
"""
_instance: MessagingRateLimiter | None = None
_lock = asyncio.Lock()
def __new__(cls, *args, **kwargs):
return super().__new__(cls)
@classmethod
async def get_instance(cls) -> MessagingRateLimiter:
"""Get the singleton instance of the limiter."""
async with cls._lock:
if cls._instance is None:
cls._instance = cls()
# Start the background worker (tracked for graceful shutdown).
cls._instance._start_worker()
return cls._instance
def __init__(self):
# Prevent double initialization in singleton
if hasattr(self, "_initialized"):
return
rate_limit = int(os.getenv("MESSAGING_RATE_LIMIT", "1"))
rate_window = float(os.getenv("MESSAGING_RATE_WINDOW", "2.0"))
self.limiter = SlidingWindowLimiter(rate_limit, rate_window)
# Custom queue state - using deque for O(1) popleft
self._queue_list: deque[str] = deque() # Deque of dedup_keys in order
self._queue_map: dict[
str, tuple[Callable[[], Awaitable[Any]], list[asyncio.Future]]
] = {}
self._condition = asyncio.Condition()
self._shutdown = asyncio.Event()
self._worker_task: asyncio.Task | None = None
self._initialized = True
self._paused_until = 0
logger.info(
f"MessagingRateLimiter initialized ({rate_limit} req / {rate_window}s with Task Compaction)"
)
def _start_worker(self) -> None:
"""Ensure the worker task exists."""
if self._worker_task and not self._worker_task.done():
return
# Named task helps debugging shutdown hangs.
self._worker_task = asyncio.create_task(
self._worker(), name="msg-limiter-worker"
)
async def _worker(self):
"""Background worker that processes queued messaging tasks."""
logger.info("MessagingRateLimiter worker started")
while not self._shutdown.is_set():
try:
# Get a task from the queue
async with self._condition:
while not self._queue_list and not self._shutdown.is_set():
await self._condition.wait()
if self._shutdown.is_set():
break
dedup_key = self._queue_list.popleft()
func, futures = self._queue_map.pop(dedup_key)
# Check for manual pause (FloodWait)
now = asyncio.get_event_loop().time()
if self._paused_until > now:
wait_time = self._paused_until - now
logger.warning(
f"Limiter worker paused, waiting {wait_time:.1f}s more..."
)
await asyncio.sleep(wait_time)
# Wait for rate limit capacity
async with self.limiter:
try:
result = await func()
for f in futures:
if not f.done():
f.set_result(result)
except Exception as e:
# Report error to all futures and log it
for f in futures:
if not f.done():
f.set_exception(e)
error_msg = str(e).lower()
if "flood" in error_msg or "wait" in error_msg:
seconds = 30
try:
if hasattr(e, "seconds"):
seconds = e.seconds
elif "after " in error_msg:
# Try to parse "retry after X"
parts = error_msg.split("after ")
if len(parts) > 1:
seconds = int(parts[1].split()[0])
except Exception:
pass
logger.error(
f"FloodWait detected! Pausing worker for {seconds}s"
)
wait_secs = (
float(seconds)
if isinstance(seconds, (int, float, str))
else 30.0
)
self._paused_until = (
asyncio.get_event_loop().time() + wait_secs
)
else:
logger.error(
f"Error in limiter worker for key {dedup_key}: {type(e).__name__}: {e}"
)
except asyncio.CancelledError:
break
except Exception as e:
logger.error(
f"MessagingRateLimiter worker critical error: {e}", exc_info=True
)
await asyncio.sleep(1)
async def shutdown(self, timeout: float = 2.0) -> None:
"""Stop the background worker so process shutdown doesn't hang."""
self._shutdown.set()
try:
async with self._condition:
self._condition.notify_all()
except Exception:
# Best-effort: condition may be bound to a closing loop.
pass
task = self._worker_task
if not task or task.done():
self._worker_task = None
return
task.cancel()
try:
await asyncio.wait_for(task, timeout=timeout)
except TimeoutError:
logger.warning("MessagingRateLimiter worker did not stop before timeout")
except asyncio.CancelledError:
pass
except Exception as e:
logger.debug(f"MessagingRateLimiter worker shutdown error: {e}")
finally:
self._worker_task = None
@classmethod
async def shutdown_instance(cls, timeout: float = 2.0) -> None:
"""Shutdown and clear the singleton instance (safe to call multiple times)."""
inst = cls._instance
if not inst:
return
try:
await inst.shutdown(timeout=timeout)
finally:
cls._instance = None
async def _enqueue_internal(self, func, future, dedup_key, front=False):
await self._enqueue_internal_multi(func, [future], dedup_key, front)
async def _enqueue_internal_multi(self, func, futures, dedup_key, front=False):
async with self._condition:
if dedup_key in self._queue_map:
# Compaction: Update existing task with new func, append new futures
_old_func, old_futures = self._queue_map[dedup_key]
old_futures.extend(futures)
self._queue_map[dedup_key] = (func, old_futures)
logger.debug(
f"Compacted task for key: {dedup_key} (now {len(old_futures)} futures)"
)
else:
self._queue_map[dedup_key] = (func, futures)
if front:
self._queue_list.appendleft(dedup_key)
else:
self._queue_list.append(dedup_key)
self._condition.notify_all()
async def enqueue(
self, func: Callable[[], Awaitable[Any]], dedup_key: str | None = None
) -> Any:
"""
Enqueue a messaging task and return its future result.
If dedup_key is provided, subsequent tasks with the same key will replace this one.
"""
if dedup_key is None:
# Unique key to avoid deduplication
dedup_key = f"task_{id(func)}_{asyncio.get_event_loop().time()}"
future = asyncio.get_event_loop().create_future()
await self._enqueue_internal(func, future, dedup_key)
return await future
def fire_and_forget(
self, func: Callable[[], Awaitable[Any]], dedup_key: str | None = None
):
"""Enqueue a task without waiting for the result."""
if dedup_key is None:
dedup_key = f"task_{id(func)}_{asyncio.get_event_loop().time()}"
future = asyncio.get_event_loop().create_future()
async def _wrapped():
max_retries = 2
for attempt in range(max_retries + 1):
try:
return await self.enqueue(func, dedup_key)
except Exception as e:
error_msg = str(e).lower()
# Only retry transient connectivity issues that might have slipped through
# or occurred between platform checks.
if attempt < max_retries and any(
x in error_msg for x in ["connect", "timeout", "broken"]
):
wait = 2**attempt
logger.warning(
f"Limiter fire_and_forget transient error (attempt {attempt + 1}): {e}. Retrying in {wait}s..."
)
await asyncio.sleep(wait)
continue
logger.error(
f"Final error in fire_and_forget for key {dedup_key}: {type(e).__name__}: {e}"
)
if not future.done():
future.set_exception(e)
break
_ = asyncio.create_task(_wrapped())