mirror of
https://github.com/Alishahryar1/free-claude-code.git
synced 2026-07-03 14:05:26 +02:00
210 lines
8.2 KiB
Python
210 lines
8.2 KiB
Python
"""
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Global Rate Limiter for Messaging Platforms.
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Centralizes outgoing message requests and ensures compliance with rate limits
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using a leaky bucket algorithm (aiolimiter) and a task queue.
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"""
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import asyncio
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import logging
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import os
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from typing import Awaitable, Callable, Any, Optional, List, Dict
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from aiolimiter import AsyncLimiter
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logger = logging.getLogger(__name__)
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class MessagingRateLimiter:
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"""
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A thread-safe global rate limiter for messaging.
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Uses a custom queue with task compaction (deduplication) to ensure
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only the latest version of a message update is processed.
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"""
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_instance: Optional["MessagingRateLimiter"] = None
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_lock = asyncio.Lock()
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def __new__(cls, *args, **kwargs):
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if not cls._instance:
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pass
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return super(MessagingRateLimiter, cls).__new__(cls)
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@classmethod
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async def get_instance(cls) -> "MessagingRateLimiter":
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"""Get the singleton instance of the limiter."""
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async with cls._lock:
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if cls._instance is None:
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cls._instance = cls()
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# Start the background worker
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asyncio.create_task(cls._instance._worker())
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return cls._instance
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def __init__(self):
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# Prevent double initialization in singleton
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if hasattr(self, "_initialized"):
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return
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rate_limit = int(os.getenv("MESSAGING_RATE_LIMIT", "1"))
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rate_window = float(os.getenv("MESSAGING_RATE_WINDOW", "2.0"))
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self.limiter = AsyncLimiter(rate_limit, rate_window)
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# Custom queue state
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self._queue_list: List[str] = [] # List of dedup_keys in order
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self._queue_map: Dict[
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str, tuple[Callable[[], Awaitable[Any]], List[asyncio.Future]]
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] = {}
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self._condition = asyncio.Condition()
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self._initialized = True
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self._paused_until = 0
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logger.info(
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f"MessagingRateLimiter initialized ({rate_limit} req / {rate_window}s with Task Compaction)"
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)
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async def _worker(self):
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"""Background worker that processes queued messaging tasks."""
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logger.info("MessagingRateLimiter worker started")
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while True:
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try:
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# Get a task from the queue
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async with self._condition:
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while not self._queue_list:
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await self._condition.wait()
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dedup_key = self._queue_list.pop(0)
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func, futures = self._queue_map.pop(dedup_key)
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# Check for manual pause (FloodWait)
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now = asyncio.get_event_loop().time()
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if self._paused_until > now:
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wait_time = self._paused_until - now
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logger.warning(
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f"Limiter worker paused, waiting {wait_time:.1f}s more..."
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)
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await asyncio.sleep(wait_time)
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# Wait for rate limit capacity
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async with self.limiter:
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try:
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result = await func()
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for f in futures:
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if not f.done():
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f.set_result(result)
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except Exception as e:
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# Report error to all futures and log it
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for f in futures:
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if not f.done():
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f.set_exception(e)
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error_msg = str(e).lower()
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if "flood" in error_msg or "wait" in error_msg:
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seconds = 30
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try:
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if hasattr(e, "seconds"):
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seconds = e.seconds
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elif "after " in error_msg:
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# Try to parse "retry after X"
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parts = error_msg.split("after ")
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if len(parts) > 1:
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seconds = int(parts[1].split()[0])
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except Exception:
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pass
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logger.error(
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f"FloodWait detected! Pausing worker for {seconds}s"
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)
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wait_secs = (
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float(seconds)
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if isinstance(seconds, (int, float, str))
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else 30.0
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)
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self._paused_until = (
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asyncio.get_event_loop().time() + wait_secs
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)
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else:
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logger.error(
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f"Error in limiter worker for key {dedup_key}: {type(e).__name__}: {e}"
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)
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except asyncio.CancelledError:
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break
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except Exception as e:
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logger.error(
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f"MessagingRateLimiter worker critical error: {e}", exc_info=True
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)
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await asyncio.sleep(1)
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async def _enqueue_internal(self, func, future, dedup_key, front=False):
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await self._enqueue_internal_multi(func, [future], dedup_key, front)
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async def _enqueue_internal_multi(self, func, futures, dedup_key, front=False):
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async with self._condition:
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if dedup_key in self._queue_map:
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# Compaction: Update existing task with new func, append new futures
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old_func, old_futures = self._queue_map[dedup_key]
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old_futures.extend(futures)
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self._queue_map[dedup_key] = (func, old_futures)
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logger.debug(
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f"Compacted task for key: {dedup_key} (now {len(old_futures)} futures)"
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)
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else:
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self._queue_map[dedup_key] = (func, futures)
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if front:
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self._queue_list.insert(0, dedup_key)
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else:
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self._queue_list.append(dedup_key)
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self._condition.notify_all()
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async def enqueue(
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self, func: Callable[[], Awaitable[Any]], dedup_key: Optional[str] = None
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) -> Any:
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"""
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Enqueue a messaging task and return its future result.
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If dedup_key is provided, subsequent tasks with the same key will replace this one.
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"""
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if dedup_key is None:
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# Unique key to avoid deduplication
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dedup_key = f"task_{id(func)}_{asyncio.get_event_loop().time()}"
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future = asyncio.get_event_loop().create_future()
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await self._enqueue_internal(func, future, dedup_key)
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return await future
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def fire_and_forget(
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self, func: Callable[[], Awaitable[Any]], dedup_key: Optional[str] = None
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):
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"""Enqueue a task without waiting for the result."""
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if dedup_key is None:
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dedup_key = f"task_{id(func)}_{asyncio.get_event_loop().time()}"
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future = asyncio.get_event_loop().create_future()
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async def _wrapped():
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max_retries = 2
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for attempt in range(max_retries + 1):
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try:
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return await self.enqueue(func, dedup_key)
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except Exception as e:
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error_msg = str(e).lower()
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# Only retry transient connectivity issues that might have slipped through
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# or occurred between platform checks.
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if attempt < max_retries and any(
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x in error_msg for x in ["connect", "timeout", "broken"]
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):
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wait = 2**attempt
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logger.warning(
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f"Limiter fire_and_forget transient error (attempt {attempt + 1}): {e}. Retrying in {wait}s..."
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)
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await asyncio.sleep(wait)
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continue
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logger.error(
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f"Final error in fire_and_forget for key {dedup_key}: {type(e).__name__}: {e}"
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)
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if not future.done():
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future.set_exception(e)
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break
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asyncio.create_task(_wrapped())
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