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refactor: 移除 Python 后端源码，全面迁移至 Rust gateway 架构
- 删除全部 Python 源码 (src/) 及 Alembic 迁移脚本，归档至 _deprecated_py_src/ - 重构 Rust gateway ai_pipeline: 拆分 planner/finalize 模块，新增 contracts/adaptation 层 - 重组 handlers 模块为 admin/public/proxy/internal/shared 子模块结构 - 新增 executor 模块，引入 Rust 原生数据库迁移 (aether-data/migrations) - 简化 CI/Docker 构建流程，移除 base image 二级构建，统一为单一 app image - 移除 Python 相关基础设施文件 (entrypoint.sh, gunicorn_conf.py, Dockerfile.base)
This commit is contained in:
fawney19
530
_deprecated_py_src/plugins/rate_limit/token_bucket.py
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530
_deprecated_py_src/plugins/rate_limit/token_bucket.py
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@@ -0,0 +1,530 @@
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"""令牌桶速率限制策略，支持 Redis 分布式后端"""
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from __future__ import annotations
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import asyncio
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import os
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import time
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from datetime import datetime, timedelta, timezone
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from typing import Any
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from src.core.logger import logger
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from ...clients.redis_client import get_redis_client_sync
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from .base import RateLimitResult, RateLimitStrategy
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class TokenBucket:
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"""令牌桶实现"""
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def __init__(self, capacity: int, refill_rate: float):
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"""
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初始化令牌桶
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Args:
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capacity: 桶容量（最大令牌数）
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refill_rate: 令牌补充速率（每秒）
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"""
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self.capacity = capacity
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self.refill_rate = refill_rate
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self.tokens = capacity
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self.last_refill = time.time()
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self.last_access_time = self.last_refill
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def _refill(self) -> None:
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"""补充令牌"""
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now = time.time()
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time_passed = now - self.last_refill
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tokens_to_add = time_passed * self.refill_rate
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self.last_access_time = now
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if tokens_to_add > 0:
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self.tokens = min(self.capacity, self.tokens + tokens_to_add)
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self.last_refill = now
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def consume(self, amount: int = 1) -> bool:
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"""
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消费令牌
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Args:
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amount: 要消费的令牌数
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Returns:
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是否成功消费
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"""
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self._refill()
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if self.tokens >= amount:
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self.tokens -= amount
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return True
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return False
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def get_remaining(self) -> int:
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"""获取剩余令牌数"""
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self._refill()
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return int(self.tokens)
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def get_reset_time(self) -> datetime:
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"""获取下次完全恢复的时间"""
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if self.tokens >= self.capacity or self.refill_rate <= 0:
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return datetime.now(timezone.utc)
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tokens_needed = self.capacity - self.tokens
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seconds_to_full = tokens_needed / self.refill_rate
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return datetime.now(timezone.utc) + timedelta(seconds=seconds_to_full)
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class TokenBucketStrategy(RateLimitStrategy):
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"""
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令牌桶算法速率限制策略
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特点：
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- 允许突发流量
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- 平均速率受限
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- 适合处理不均匀的流量模式
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"""
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DEFAULT_MAX_BUCKETS = 10000
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DEFAULT_BUCKET_EXPIRY = 3600
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DEFAULT_REDIS_RETRY_INTERVAL = 30.0
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def __init__(self) -> None:
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super().__init__("token_bucket")
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self.buckets: dict[str, TokenBucket] = {}
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self._lock = asyncio.Lock()
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# 默认配置
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self.default_capacity = 100 # 默认桶容量
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self.default_refill_rate = 10 # 默认每秒补充10个令牌
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self.max_buckets = self.DEFAULT_MAX_BUCKETS
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self.bucket_expiry = self.DEFAULT_BUCKET_EXPIRY
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self._last_cleanup_time: float = time.time()
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self._cleanup_interval = 300 # 每 5 分钟检查一次清理
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# 可选的 Redis 后端
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self._redis_backend: RedisTokenBucketBackend | None = None
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self._redis_checked = False
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self._backend_mode = os.getenv("RATE_LIMIT_BACKEND", "auto").lower()
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self._redis_retry_interval = self.DEFAULT_REDIS_RETRY_INTERVAL
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self._next_redis_probe_time = 0.0
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@staticmethod
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def _is_unlimited_rate_limit(rate_limit: Any) -> bool:
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"""显式传入 0/负数时，按“不限流”处理。"""
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if rate_limit is None:
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return False
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try:
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return int(rate_limit) <= 0
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except (TypeError, ValueError):
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return False
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def _resolve_bucket_config(self, key: str, rate_limit: int | None = None) -> tuple[int, float]:
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"""解析指定 key 当前应使用的桶容量和补充速率。"""
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if rate_limit is not None:
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normalized_rate_limit = int(rate_limit)
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if normalized_rate_limit <= 0:
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return 0, 0.0
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return normalized_rate_limit, normalized_rate_limit / 60.0
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if key.startswith("api_key:"):
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return (
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self.config.get("api_key_capacity", self.default_capacity),
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self.config.get("api_key_refill_rate", self.default_refill_rate),
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)
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if key.startswith("user:"):
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return (
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self.config.get("user_capacity", self.default_capacity * 2),
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self.config.get("user_refill_rate", self.default_refill_rate * 2),
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)
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return self.default_capacity, self.default_refill_rate
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def _get_bucket(self, key: str, rate_limit: int | None = None) -> TokenBucket:
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"""
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获取或创建令牌桶
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Args:
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key: 限制键
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rate_limit: 每分钟请求限制（来自数据库配置），如果提供则使用此值
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Returns:
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令牌桶实例
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"""
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capacity, refill_rate = self._resolve_bucket_config(key, rate_limit)
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bucket = self.buckets.get(key)
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if bucket is None:
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bucket = TokenBucket(capacity, refill_rate)
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self.buckets[key] = bucket
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return bucket
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if bucket.capacity != capacity or bucket.refill_rate != refill_rate:
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bucket._refill()
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bucket.capacity = capacity
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bucket.refill_rate = refill_rate
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bucket.tokens = min(bucket.tokens, capacity)
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return bucket
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def _cleanup_expired_buckets(self) -> int:
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"""清理长时间未访问的桶，避免 key 集合无限增长。"""
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current_time = time.time()
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expired_keys = [
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key
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for key, bucket in self.buckets.items()
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if current_time - bucket.last_access_time > self.bucket_expiry
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]
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for key in expired_keys:
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del self.buckets[key]
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if expired_keys:
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logger.info("清理了 {} 个过期的令牌桶", len(expired_keys))
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return len(expired_keys)
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def _evict_lru_buckets(self, count: int) -> int:
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"""达到容量上限时淘汰最久未使用的桶。"""
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if not self.buckets or count <= 0:
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return 0
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sorted_keys = sorted(self.buckets, key=lambda key: self.buckets[key].last_access_time)
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evicted = 0
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for key in sorted_keys[:count]:
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del self.buckets[key]
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evicted += 1
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if evicted:
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logger.warning("LRU 淘汰了 {} 个令牌桶（达到容量上限）", evicted)
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return evicted
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async def _maybe_cleanup(self) -> None:
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"""定期清理或淘汰桶，控制进程内桶数量。"""
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current_time = time.time()
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if current_time - self._last_cleanup_time > self._cleanup_interval:
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self._cleanup_expired_buckets()
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self._last_cleanup_time = current_time
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if len(self.buckets) >= self.max_buckets:
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evict_count = max(1, self.max_buckets // 10)
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self._evict_lru_buckets(evict_count)
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def _want_redis_backend(self) -> bool:
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return self._backend_mode in {"auto", "redis"}
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async def _ensure_backend(self) -> None:
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if self._redis_backend is not None:
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return
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if not self._want_redis_backend():
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self._redis_checked = True
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return
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current_time = time.time()
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if self._redis_checked and current_time < self._next_redis_probe_time:
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return
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redis_client = get_redis_client_sync()
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if redis_client:
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self._redis_backend = RedisTokenBucketBackend(redis_client)
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self._redis_checked = True
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self._next_redis_probe_time = 0.0
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logger.info("速率限制改用 Redis 令牌桶后端")
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return
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self._redis_checked = True
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self._next_redis_probe_time = current_time + self._redis_retry_interval
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if self._backend_mode == "redis":
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logger.warning("RATE_LIMIT_BACKEND=redis 但 Redis 客户端不可用，回退到内存桶")
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async def check_limit(self, key: str, **kwargs: Any) -> RateLimitResult:
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"""
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检查速率限制
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Args:
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key: 限制键
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**kwargs: 额外参数，包括 rate_limit (从数据库配置)
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Returns:
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速率限制检查结果
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"""
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rate_limit = kwargs.get("rate_limit")
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amount = kwargs.get("amount", 1)
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if self._is_unlimited_rate_limit(rate_limit):
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return RateLimitResult(allowed=True, remaining=0)
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await self._ensure_backend()
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if self._redis_backend:
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return await self._redis_backend.peek(
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key=key,
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capacity=self._resolve_capacity(key, rate_limit),
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refill_rate=self._resolve_refill_rate(key, rate_limit),
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amount=amount,
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)
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async with self._lock:
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await self._maybe_cleanup()
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bucket = self._get_bucket(key, rate_limit)
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remaining = bucket.get_remaining()
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reset_at = bucket.get_reset_time()
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allowed = remaining >= amount
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retry_after = None
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if not allowed:
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tokens_needed = amount - remaining
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retry_after = int(tokens_needed / bucket.refill_rate) + 1
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return RateLimitResult(
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allowed=allowed,
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remaining=remaining,
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reset_at=reset_at,
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retry_after=retry_after,
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message=(
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None
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if allowed
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else f"Rate limit exceeded. Please retry after {retry_after} seconds."
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),
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)
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async def consume(self, key: str, amount: int = 1, **kwargs: Any) -> bool:
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"""
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消费令牌
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Args:
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key: 限制键
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amount: 消费数量
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Returns:
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是否成功消费
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"""
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rate_limit = kwargs.get("rate_limit")
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if self._is_unlimited_rate_limit(rate_limit):
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return True
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await self._ensure_backend()
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if self._redis_backend:
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success, remaining = await self._redis_backend.consume(
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key=key,
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capacity=self._resolve_capacity(key, rate_limit),
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refill_rate=self._resolve_refill_rate(key, rate_limit),
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amount=amount,
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)
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if success:
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logger.debug("Redis 令牌消费成功")
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else:
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logger.warning("Redis 令牌消费失败")
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return success
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async with self._lock:
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await self._maybe_cleanup()
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bucket = self._get_bucket(key, rate_limit)
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success = bucket.consume(amount)
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if success:
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logger.debug(f"令牌消费成功")
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else:
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logger.warning(f"令牌消费失败：超出速率限制")
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return success
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async def reset(self, key: str) -> Any:
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"""
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重置令牌桶
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Args:
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key: 限制键
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"""
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await self._ensure_backend()
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if self._redis_backend:
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await self._redis_backend.reset(key)
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return
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async with self._lock:
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if key in self.buckets:
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bucket = self.buckets[key]
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bucket.tokens = bucket.capacity
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bucket.last_refill = time.time()
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logger.info(f"令牌桶已重置")
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async def get_stats(self, key: str) -> dict[str, Any]:
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"""
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获取统计信息
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Args:
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key: 限制键
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Returns:
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统计信息
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"""
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await self._ensure_backend()
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if self._redis_backend:
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return await self._redis_backend.get_stats(
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key,
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capacity=self._resolve_capacity(key),
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refill_rate=self._resolve_refill_rate(key),
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)
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async with self._lock:
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await self._maybe_cleanup()
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bucket = self._get_bucket(key)
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return {
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"strategy": "token_bucket",
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"key": key,
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"capacity": bucket.capacity,
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"remaining": bucket.get_remaining(),
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"refill_rate": bucket.refill_rate,
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"reset_at": bucket.get_reset_time().isoformat(),
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}
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def configure(self, config: dict[str, Any]) -> Any:
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"""
|
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配置策略
|
||||
|
||||
支持的配置项：
|
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- api_key_capacity: API Key的桶容量
|
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- api_key_refill_rate: API Key的令牌补充速率
|
||||
- user_capacity: 用户的桶容量
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- user_refill_rate: 用户的令牌补充速率
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"""
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super().configure(config)
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self.default_capacity = config.get("default_capacity", self.default_capacity)
|
||||
self.default_refill_rate = config.get("default_refill_rate", self.default_refill_rate)
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self.max_buckets = int(config.get("max_buckets", self.max_buckets))
|
||||
self.bucket_expiry = int(config.get("bucket_expiry", self.bucket_expiry))
|
||||
self._cleanup_interval = int(config.get("cleanup_interval", self._cleanup_interval))
|
||||
|
||||
def _resolve_capacity(self, key: str, rate_limit: int | None = None) -> int:
|
||||
capacity, _ = self._resolve_bucket_config(key, rate_limit)
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return capacity
|
||||
|
||||
def _resolve_refill_rate(self, key: str, rate_limit: int | None = None) -> float:
|
||||
_, refill_rate = self._resolve_bucket_config(key, rate_limit)
|
||||
return refill_rate
|
||||
|
||||
|
||||
class RedisTokenBucketBackend:
|
||||
"""使用 Redis 存储令牌桶状态，支持多实例共享"""
|
||||
|
||||
_SCRIPT = """
|
||||
local key = KEYS[1]
|
||||
local now = tonumber(ARGV[1])
|
||||
local capacity = tonumber(ARGV[2])
|
||||
local refill_rate = tonumber(ARGV[3])
|
||||
local amount = tonumber(ARGV[4])
|
||||
|
||||
local data = redis.call('HMGET', key, 'tokens', 'timestamp')
|
||||
local tokens = tonumber(data[1])
|
||||
local last_refill = tonumber(data[2])
|
||||
|
||||
if tokens == nil then
|
||||
tokens = capacity
|
||||
last_refill = now
|
||||
end
|
||||
|
||||
local delta = math.max(0, now - last_refill)
|
||||
local refill = delta * refill_rate
|
||||
tokens = math.min(capacity, tokens + refill)
|
||||
|
||||
local allowed = 0
|
||||
local retry_after = 0
|
||||
if tokens >= amount then
|
||||
tokens = tokens - amount
|
||||
allowed = 1
|
||||
else
|
||||
retry_after = math.ceil((amount - tokens) / refill_rate)
|
||||
end
|
||||
|
||||
redis.call('HMSET', key, 'tokens', tokens, 'timestamp', now)
|
||||
local ttl = math.max(1, math.ceil(capacity / refill_rate))
|
||||
redis.call('EXPIRE', key, ttl)
|
||||
return {allowed, tokens, retry_after}
|
||||
"""
|
||||
|
||||
def __init__(self, redis_client: Any) -> None:
|
||||
self.redis = redis_client
|
||||
self._consume_script = self.redis.register_script(self._SCRIPT)
|
||||
|
||||
def _redis_key(self, key: str) -> str:
|
||||
return f"rate_limit:bucket:{key}"
|
||||
|
||||
async def peek(
|
||||
self,
|
||||
key: str,
|
||||
capacity: int,
|
||||
refill_rate: float,
|
||||
amount: int,
|
||||
) -> RateLimitResult:
|
||||
if capacity <= 0 or refill_rate <= 0:
|
||||
return RateLimitResult(allowed=True, remaining=0)
|
||||
|
||||
bucket_key = self._redis_key(key)
|
||||
data = await self.redis.hmget(bucket_key, "tokens", "timestamp")
|
||||
tokens = data[0]
|
||||
last_refill = data[1]
|
||||
|
||||
if tokens is None or last_refill is None:
|
||||
remaining = capacity
|
||||
reset_at = datetime.now(timezone.utc)
|
||||
else:
|
||||
tokens_value = float(tokens)
|
||||
last_refill_value = float(last_refill)
|
||||
delta = max(0.0, time.time() - last_refill_value)
|
||||
tokens_value = min(capacity, tokens_value + delta * refill_rate)
|
||||
remaining = int(tokens_value)
|
||||
reset_after = 0 if tokens_value >= capacity else (capacity - tokens_value) / refill_rate
|
||||
reset_at = datetime.now(timezone.utc) + timedelta(seconds=reset_after)
|
||||
|
||||
allowed = remaining >= amount
|
||||
retry_after = None
|
||||
if not allowed:
|
||||
needed = max(0, amount - remaining)
|
||||
retry_after = int(needed / refill_rate) + 1
|
||||
|
||||
return RateLimitResult(
|
||||
allowed=allowed,
|
||||
remaining=int(remaining),
|
||||
reset_at=reset_at,
|
||||
retry_after=retry_after,
|
||||
message=(
|
||||
None
|
||||
if allowed
|
||||
else f"Rate limit exceeded. Please retry after {retry_after} seconds."
|
||||
),
|
||||
)
|
||||
|
||||
async def consume(
|
||||
self,
|
||||
key: str,
|
||||
capacity: int,
|
||||
refill_rate: float,
|
||||
amount: int,
|
||||
) -> tuple[bool, int]:
|
||||
if capacity <= 0 or refill_rate <= 0:
|
||||
return True, 0
|
||||
|
||||
result = await self._consume_script(
|
||||
keys=[self._redis_key(key)],
|
||||
args=[time.time(), capacity, refill_rate, amount],
|
||||
)
|
||||
allowed = bool(result[0])
|
||||
remaining = int(float(result[1]))
|
||||
return allowed, remaining
|
||||
|
||||
async def reset(self, key: str) -> Any:
|
||||
await self.redis.delete(self._redis_key(key))
|
||||
|
||||
async def get_stats(self, key: str, capacity: int, refill_rate: float) -> dict[str, Any]:
|
||||
data = await self.redis.hmget(self._redis_key(key), "tokens", "timestamp")
|
||||
tokens = data[0]
|
||||
timestamp = data[1]
|
||||
return {
|
||||
"strategy": "token_bucket",
|
||||
"key": key,
|
||||
"capacity": capacity,
|
||||
"remaining": float(tokens) if tokens else capacity,
|
||||
"refill_rate": refill_rate,
|
||||
"last_refill": float(timestamp) if timestamp else time.time(),
|
||||
"backend": "redis",
|
||||
}
|
||||
Reference in New Issue
Block a user