Files
zhenxun_bot/zhenxun/services/runtime_bootstrap.py
T
ce94f63d9a ✨ feat(hook): 增强认证钩子和运行时缓存管理 (#2106)
* ✨ feat(hook): 增强认证钩子和运行时缓存管理
```
♻ refactor(hook): 移除未使用的配置项并优化缓存设置

移除 AUTH_HOOKS_CONCURRENCY_LIMIT 配置项,该配置项不再使用

✨feat(auth_ban): 简化缓存配置并添加实体参数支持

将 BAN_CACHE_TTL 相关配置从动态配置改为常量定义,
移除复杂的 TTL 值转换逻辑,并为 auth_ban 函数添加可选的
entity 参数以支持外部传入实体信息

♻ refactor(auth_limit): 移除未使用的配置依赖

移除 AUTH_LIMIT_NOTICE_CD 配置项,直接使用常量值 2
作为限制通知冷却时间

📦 依赖更新: update playwright dependency to version 1.57.0 in pyproject.toml and requirements.txt
```

* ✨ feat(auth_checker): 增强插件模块处理和预过滤逻辑,支持用户插件兼容性

* ✨ feat(http_utils): 添加内容缓存机制以优化HTTP响应处理

* ✨ feat(cache): 添加群组插件设置视图缓存类型并更新相关逻辑

* ✨ feat(renderer): 优化渲染引擎,增加内存缓存管理和HTML文档处理逻辑

* ✨ feat(sign_in): 添加好感度排行和好感度总排行命令

* ✨ feat(renderer): 增强浏览器实例管理和模板预处理,支持历史 include 语法兼容

* ✨ feat(renderer): 优化 Playwright 环境检查逻辑,增加结果缓存以提高性能

* ✨ feat(renderer): 增强模板文件渲染策略,优化资产加载路径处理

* 🚨 auto fix by pre-commit hooks

* ✨ feat(log): 增加日志内容安全序列化,避免超长 base64 等污染日志
✨ feat(log_sanitizer): 添加对嵌入超长 base64/data URI 的清理功能
✨ feat(auth_checker): 添加 Alconna 快捷方式缓存检查,优化路由匹配逻辑

* feat(renderer): 添加渲染结果内存缓存功能以优化性能
feat(help): 实现帮助菜单图像缓存机制
feat(sign_in): 更新HTML卡片生成以支持动画禁用和剪裁
feat(superuser): 在启动时预热超级用户帮助缓存
feat(theme): 优化主题管理器的资源解析缓存

* 🚨 auto fix by pre-commit hooks

* feat(renderer): 增加全页面视口最大宽度限制并优化内容尺寸计算

---------

Co-authored-by: ATTomatoo <1126160939@qq.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: HibiKier <45528451+HibiKier@users.noreply.github.com>
2026-03-03 15:54:47 +08:00

86 lines
2.7 KiB
Python

import asyncio
from concurrent.futures import ThreadPoolExecutor
import contextlib
import os
import anyio.to_thread
from nonebot.drivers import Driver
DEFAULT_EXECUTOR_MIN_WORKERS = 16
DEFAULT_EXECUTOR_MAX_WORKERS = 64
DEFAULT_ANYIO_MIN_TOKENS = 32
DEFAULT_ANYIO_MAX_TOKENS = 128
_thread_executor: ThreadPoolExecutor | None = None
_runtime_hooks_registered = False
_alconna_patch_applied = False
def _clamp(value: int, minimum: int, maximum: int) -> int:
return max(minimum, min(value, maximum))
def _get_executor_workers() -> int:
cpu = os.cpu_count() or 4
return _clamp(cpu * 4, DEFAULT_EXECUTOR_MIN_WORKERS, DEFAULT_EXECUTOR_MAX_WORKERS)
def _get_anyio_tokens(executor_workers: int) -> int:
return _clamp(
executor_workers * 2, DEFAULT_ANYIO_MIN_TOKENS, DEFAULT_ANYIO_MAX_TOKENS
)
def _apply_alconna_conflict_patch() -> None:
global _alconna_patch_applied
if _alconna_patch_applied:
return
with contextlib.suppress(Exception):
from arclet.alconna import formatter as alconna_formatter
text_formatter = getattr(alconna_formatter, "TextFormatter", None)
if text_formatter is None:
return
original_remove = getattr(text_formatter, "remove", None)
if getattr(original_remove, "__zhenxun_safe_remove__", False):
_alconna_patch_applied = True
return
def _safe_remove(self, base):
# Tolerate duplicate command cleanup when formatter hash is absent.
self.data.pop(base._hash, None)
setattr(_safe_remove, "__zhenxun_safe_remove__", True)
setattr(text_formatter, "remove", _safe_remove)
_alconna_patch_applied = True
def register_runtime_bootstrap(driver: Driver) -> None:
_apply_alconna_conflict_patch()
global _runtime_hooks_registered
if _runtime_hooks_registered:
return
_runtime_hooks_registered = True
@driver.on_startup
async def _setup_runtime_concurrency() -> None:
global _thread_executor
workers = _get_executor_workers()
loop = asyncio.get_running_loop()
if _thread_executor is None:
_thread_executor = ThreadPoolExecutor(
max_workers=workers, thread_name_prefix="zhenxun-worker"
)
loop.set_default_executor(_thread_executor)
with contextlib.suppress(Exception):
limiter = anyio.to_thread.current_default_thread_limiter()
limiter.total_tokens = _get_anyio_tokens(workers)
@driver.on_shutdown
async def _shutdown_runtime_concurrency() -> None:
global _thread_executor
executor = _thread_executor
_thread_executor = None
if executor is not None:
executor.shutdown(wait=False, cancel_futures=True)