Files
free-claude-code/messaging/limiter.py
T
2026-02-05 10:51:33 -08:00

210 lines
8.2 KiB
Python

"""
Global Rate Limiter for Messaging Platforms.
Centralizes outgoing message requests and ensures compliance with rate limits
using a leaky bucket algorithm (aiolimiter) and a task queue.
"""
import asyncio
import logging
import os
from typing import Awaitable, Callable, Any, Optional, List, Dict
from aiolimiter import AsyncLimiter
logger = logging.getLogger(__name__)
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: Optional["MessagingRateLimiter"] = None
_lock = asyncio.Lock()
def __new__(cls, *args, **kwargs):
if not cls._instance:
pass
return super(MessagingRateLimiter, cls).__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
asyncio.create_task(cls._instance._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 = AsyncLimiter(rate_limit, rate_window)
# Custom queue state
self._queue_list: List[str] = [] # List of dedup_keys in order
self._queue_map: Dict[
str, tuple[Callable[[], Awaitable[Any]], List[asyncio.Future]]
] = {}
self._condition = asyncio.Condition()
self._initialized = True
self._paused_until = 0
logger.info(
f"MessagingRateLimiter initialized ({rate_limit} req / {rate_window}s with Task Compaction)"
)
async def _worker(self):
"""Background worker that processes queued messaging tasks."""
logger.info("MessagingRateLimiter worker started")
while True:
try:
# Get a task from the queue
async with self._condition:
while not self._queue_list:
await self._condition.wait()
dedup_key = self._queue_list.pop(0)
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 _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.insert(0, dedup_key)
else:
self._queue_list.append(dedup_key)
self._condition.notify_all()
async def enqueue(
self, func: Callable[[], Awaitable[Any]], dedup_key: Optional[str] = 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: Optional[str] = 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())