442 lines
15 KiB
Python
442 lines
15 KiB
Python
"""
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NVIDIA Sidecar 限流代理 — 令牌桶 + 网关识别模块 (§3.2)
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从 BIZ-26 rate_limiter.py 提取核心限流逻辑，去除多线程调度器、缓存管理等。
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保留：Priority, TokenBucket, is_nvidia_gateway, normalize_gateway_name。
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"""
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from __future__ import annotations
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import time
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import threading
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from enum import IntEnum
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from typing import Any
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# ---------------------------------------------------------------------------
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# 优先级枚举
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# ---------------------------------------------------------------------------
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class Priority(IntEnum):
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"""请求优先级（数值越小优先级越高）。"""
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URGENT = 1
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HIGH = 2
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NORMAL = 3
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LOW = 4
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# ---------------------------------------------------------------------------
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# NVIDIA 网关别名集
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# ---------------------------------------------------------------------------
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NVIDIA_GATEWAY_ALIASES: set[str] = {
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# OpenClaw 配置中全部的 NVIDIA provider 名称
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"nvidia",
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"nvidia-gateway",
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"nvidia98053",
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"nvidialiuweicheng84",
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"nvidiavx",
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"nvidiavx18088980513",
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"nvidiavx64391942",
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}
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def is_nvidia_gateway(value: str | None) -> bool:
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"""判断给定网关名/模型全路径是否属于 NVIDIA 网关。
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Args:
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value: 网关名（如 ``"nvidia"``）或模型全路径前缀
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（如 ``"nvidia/deepseek-ai/deepseek-v4-pro"``）。
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None 时直接返回 False。
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Returns:
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True 当 value 的 provider 部分匹配已知 NVIDIA 别名。
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"""
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if value is None:
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return False
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# 提取 provider 前缀：取 "/" 前第一个部分
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provider = value.split("/", 1)[0].lower().strip()
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return provider in NVIDIA_GATEWAY_ALIASES
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def normalize_gateway_name(value: str | None) -> str | None:
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"""规范化网关名：提取 provider 前缀并转为小写。
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Args:
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value: 网关名或模型全路径。None 时返回 None。
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Returns:
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provider 前缀的小写形式，或 None。
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"""
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if value is None:
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return None
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return value.split("/", 1)[0].lower().strip()
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# ---------------------------------------------------------------------------
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# 令牌桶（线程安全）
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# ---------------------------------------------------------------------------
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class TokenBucket:
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"""线程安全的令牌桶实现。
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支持固定速率令牌补充和消费，带有溢出保护和可选的阻塞等待。
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"""
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def __init__(self, rate: float = 40 / 60, capacity: int = 40) -> None:
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"""初始化令牌桶。
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Args:
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rate: 令牌补充速率（令牌/秒）。默认 40/60 ≈ 0.667 token/s（40 RPM）。
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capacity: 桶最大容量（令牌数）。默认 40。
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"""
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self._rate: float = float(rate)
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self._capacity: int = int(capacity)
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self._tokens: float = float(capacity) # 启动时桶满
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self._last_refill: float = time.monotonic()
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self._lock: threading.Lock = threading.Lock()
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# ---- 内部方法 ----
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def _refill(self) -> None:
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"""补充令牌（调用方需持有 _lock）。
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根据距上次补充的时间差计算新增令牌数，不超过 capacity。
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"""
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now = time.monotonic()
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elapsed = now - self._last_refill
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if elapsed > 0 and self._rate > 0:
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new_tokens = elapsed * self._rate
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self._tokens = min(self._tokens + new_tokens, float(self._capacity))
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self._last_refill = now
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# ---- 公开方法 ----
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def consume(self, tokens: int = 1) -> bool:
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"""尝试立即消费令牌（非阻塞）。
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Args:
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tokens: 要消费的令牌数，默认 1。
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Returns:
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True 消费成功；False 令牌不足。
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"""
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if tokens <= 0:
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return True
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with self._lock:
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self._refill()
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if self._tokens >= tokens:
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self._tokens -= tokens
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return True
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return False
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def try_consume(self, tokens: int = 1, timeout: float = 2.0) -> bool:
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"""尝试在指定时间内消费令牌（阻塞）。
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Args:
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tokens: 要消费的令牌数，默认 1。
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timeout: 最大等待秒数，默认 2.0。
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Returns:
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True 在超时前成功消费；False 超时。
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"""
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if tokens <= 0:
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return True
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deadline = time.monotonic() + timeout
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while True:
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with self._lock:
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self._refill()
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if self._tokens >= tokens:
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self._tokens -= tokens
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return True
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# 释放锁后计算剩余等待时间
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remaining = deadline - time.monotonic()
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if remaining <= 0:
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return False
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# 等待到下一个令牌应该补充的时间点
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sleep_time = min(remaining, max(0.05, 1.0 / self._rate) if self._rate > 0 else remaining)
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time.sleep(sleep_time)
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def wait_for_token(self, timeout: float | None = None) -> bool:
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"""等待并尝试消费 1 个令牌。
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Args:
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timeout: 最大等待秒数；None 表示无限等待（不推荐）。
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Returns:
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True 成功消费；False 超时。
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"""
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return self.try_consume(tokens=1, timeout=timeout if timeout is not None else float("inf"))
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def get_status(self) -> dict[str, Any]:
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"""获取令牌桶当前状态。
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Returns:
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包含 tokens, capacity, rate_per_minute, utilization 的字典。
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"""
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with self._lock:
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self._refill()
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rate_per_minute = self._rate * 60.0
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utilization = 0.0 if self._capacity == 0 else (
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(self._capacity - self._tokens) / self._capacity
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)
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return {
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"tokens": round(self._tokens, 2),
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"capacity": self._capacity,
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"rate_per_minute": round(rate_per_minute, 1),
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"utilization": round(utilization, 4),
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}
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# ---- 属性 ----
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@property
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def rate(self) -> float:
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"""当前令牌补充速率（令牌/秒）。"""
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return self._rate
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@property
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def capacity(self) -> int:
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"""桶容量。"""
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return self._capacity
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# ---- 动态速率调整（供 AdaptiveTokenBucket 使用） ----
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def set_rate(self, rate: float) -> None:
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"""动态调整令牌补充速率（令牌/秒）。
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Args:
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rate: 新速率（令牌/秒）。
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"""
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with self._lock:
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self._refill() # 先补充现有令牌再切换速率
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self._rate = float(rate)
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# ---------------------------------------------------------------------------
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# 避退模式：AdaptiveTokenBucket (§ADR-009)
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# ---------------------------------------------------------------------------
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class RetreatState:
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"""避退状态机常量。"""
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NORMAL: str = "normal"
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RETREAT: str = "retreat"
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RECOVER: str = "recover"
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class AdaptiveTokenBucket(TokenBucket):
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"""自适应避退令牌桶（ADR-009）。
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监控上游 429 率（60s 滑动窗口），自动调整发射速率：
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- 429 率 < 5% → NORMAL，保持基准速率
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- 429 率 5-10% → RETREAT，速率 × 0.75
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- 429 率 10-20% → RETREAT，再次降速
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- 429 率 > 20% → RETREAT，最低 5 RPM + 告警
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- 连续 120s 429 率 < 2% → RECOVER，逐步 +2 RPM 恢复
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线程安全，继承 TokenBucket 的所有公共接口。
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"""
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# ADR-009 参数（可通过构造函数覆盖）
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RETREAT_WINDOW_SECONDS: float = 60.0
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RETREAT_429_THRESHOLD: float = 0.05
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RETREAT_FACTOR: float = 0.75
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RETREAT_MIN_RPM: float = 5.0
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RECOVER_WINDOW_SECONDS: float = 120.0
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RECOVER_429_THRESHOLD: float = 0.02
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RECOVER_INCREMENT_RPM: float = 2.0
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def __init__(
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self,
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rate: float = 40 / 60,
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capacity: int = 40,
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*,
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retreat_window_seconds: float = 60.0,
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retreat_429_threshold: float = 0.05,
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retreat_factor: float = 0.75,
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retreat_min_rpm: float = 5.0,
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recover_window_seconds: float = 120.0,
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recover_429_threshold: float = 0.02,
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recover_increment_rpm: float = 2.0,
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) -> None:
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"""初始化自适应避退令牌桶。
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Args:
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rate: 基准令牌补充速率（令牌/秒）。默认 40/60 ≈ 0.667 token/s。
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capacity: 桶最大容量。默认 40。
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retreat_window_seconds: 429 率滑动窗口大小（秒）。
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retreat_429_threshold: 触发避退的 429 率阈值。
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retreat_factor: 每次避退速率乘数。
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retreat_min_rpm: 避退最低 RPM。
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recover_window_seconds: 恢复观察窗口大小（秒）。
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recover_429_threshold: 触发恢复的 429 率阈值。
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recover_increment_rpm: 每次恢复增加的 RPM。
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"""
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super().__init__(rate=rate, capacity=capacity)
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# 基准速率（不变）
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self._base_rate: float = float(rate)
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# 避退参数
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self.RETREAT_WINDOW_SECONDS = retreat_window_seconds
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self.RETREAT_429_THRESHOLD = retreat_429_threshold
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self.RETREAT_FACTOR = retreat_factor
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self.RETREAT_MIN_RPM = retreat_min_rpm
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self.RECOVER_WINDOW_SECONDS = recover_window_seconds
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self.RECOVER_429_THRESHOLD = recover_429_threshold
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self.RECOVER_INCREMENT_RPM = recover_increment_rpm
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# 避退状态机
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self._retreat_state: str = RetreatState.NORMAL
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# 429 滑动窗口：[(timestamp, is_429), ...]
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self._429_window: list[tuple[float, bool]] = []
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# 上次状态变更时间
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self._last_state_change: float = time.monotonic()
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# 避退状态锁（RLock 防止 evaluate_retreat() → get_429_rate() 重入死锁）
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self._retreat_lock: threading.RLock = threading.RLock()
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# ---- 429 反馈 ----
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def record_response(self, is_429: bool) -> None:
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"""记录一次上游响应是否为 429。
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Args:
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is_429: True 表示上游返回了 429。
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"""
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now = time.monotonic()
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with self._retreat_lock:
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self._429_window.append((now, is_429))
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# 清理超出观察窗口的旧记录
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cutoff = now - max(
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self.RETREAT_WINDOW_SECONDS,
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self.RECOVER_WINDOW_SECONDS,
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)
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self._429_window = [
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(ts, flag) for ts, flag in self._429_window
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if ts >= cutoff
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]
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def get_429_rate(self, window_seconds: float | None = None) -> float:
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"""获取指定窗口内的 429 率。
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Args:
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window_seconds: 滑动窗口大小；None 使用 RETREAT_WINDOW_SECONDS。
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Returns:
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0.0-1.0 之间的 429 率。
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"""
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ws = window_seconds or self.RETREAT_WINDOW_SECONDS
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now = time.monotonic()
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with self._retreat_lock:
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in_window = [flag for ts, flag in self._429_window if now - ts <= ws]
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if not in_window:
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return 0.0
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return sum(1 for f in in_window if f) / len(in_window)
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# ---- 避退状态评估 ----
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def evaluate_retreat(self) -> str:
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"""评估并更新避退状态，返回新状态名。
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每次调用根据当前 429 率 + 持续时间决定是否进入 RETREAT / RECOVER。
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Returns:
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"normal" / "retreat" / "recover"。
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"""
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now = time.monotonic()
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with self._retreat_lock:
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retreat_rate = self.get_429_rate(self.RETREAT_WINDOW_SECONDS)
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recover_rate = self.get_429_rate(self.RECOVER_WINDOW_SECONDS)
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if self._retreat_state == RetreatState.NORMAL:
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if retreat_rate >= self.RETREAT_429_THRESHOLD:
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self._retreat_state = RetreatState.RETREAT
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self._last_state_change = now
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self._apply_retreat()
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elif self._retreat_state == RetreatState.RETREAT:
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# 持续高 429 率 → 再次降速
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if retreat_rate >= self.RETREAT_429_THRESHOLD * 2:
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# 429 > 10%，再次降速
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if self._rate > self.RETREAT_MIN_RPM / 60.0:
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self._apply_retreat()
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elif recover_rate < self.RECOVER_429_THRESHOLD:
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time_in_low = now - self._last_state_change
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if time_in_low >= self.RECOVER_WINDOW_SECONDS:
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self._retreat_state = RetreatState.RECOVER
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self._last_state_change = now
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self._apply_recover()
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elif self._retreat_state == RetreatState.RECOVER:
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if retreat_rate >= self.RETREAT_429_THRESHOLD:
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# 恢复期间 429 回升，重新进入避退
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self._retreat_state = RetreatState.RETREAT
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self._last_state_change = now
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self._apply_retreat()
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elif self._rate >= self._base_rate:
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# 已恢复到基准速率
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self._rate = self._base_rate
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self._retreat_state = RetreatState.NORMAL
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self._last_state_change = now
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else:
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# 继续逐步恢复
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self._apply_recover()
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return self._retreat_state
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def _apply_retreat(self) -> None:
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"""执行一次避退降速。"""
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new_rate: float = max(
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self.RETREAT_MIN_RPM / 60.0,
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self._rate * self.RETREAT_FACTOR,
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)
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self._rate = new_rate
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def _apply_recover(self) -> None:
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"""执行一次恢复提速。"""
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increment: float = self.RECOVER_INCREMENT_RPM / 60.0
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new_rate: float = min(self._base_rate, self._rate + increment)
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self._rate = new_rate
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# ---- 状态查询 ----
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def get_retreat_state(self) -> str:
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"""获取当前避退状态。
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Returns:
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"normal" / "retreat" / "recover"。
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"""
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with self._retreat_lock:
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return self._retreat_state
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def get_effective_rate_rpm(self) -> float:
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"""获取当前实际速率（RPM），考虑避退乘数。
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Returns:
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当前每分钟速率。
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"""
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with self._lock:
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return self._rate * 60.0
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def get_base_rate_rpm(self) -> float:
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"""获取基准速率（RPM），即未避退时的速率。
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Returns:
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基准每分钟速率。
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"""
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return self._base_rate * 60.0
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def reset_to_base(self) -> None:
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"""手动重置到基准速率（用于运维干预）。"""
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with self._retreat_lock:
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self._rate = self._base_rate
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self._retreat_state = RetreatState.NORMAL
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self._last_state_change = time.monotonic()
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self._429_window.clear() |