Files
metona-ai-desktop/electron/utils/slo.ts
T
thzxx 99d0c54129
CI / 类型检查 + Lint + 单元测试 (push) Failing after 6m27s
CI / 产物编译验证 (push) Successful in 9m57s
CI / 全量测试 (Electron ABI) (push) Failing after 5m19s
feat: v0.7.4 时序语义修正 · 防线实效补漏 · 全量测试翻倍 — 2406 用例 + jsdom 组件测试全量回归
P1 修复面收口:
- 超时三态区分(aborted→USER_INTERRUPT / ETIMEDOUT→TIMEOUT / 其余→ERROR),
  根治"真实网络超时被误报为用户中断"
- 流空闲超时统一(SSE/Ollama/Anthropic 读循环 60s 无数据抛 504 进重试通道)
- 同会话并发 sendMessage 防重入(isRunning 守卫)+ 会话存在性预检 +
  前置调用移入 try(ERROR+DONE 双事件保证,根治 isStreaming 假死)
- 清空审计后 resetChainCache(根治 verifyChain 误报 TAMPERED)
- DONE 不再提前清理 TRACE(TERMINATED 统一收尾,补全最终迭代录制)
- IME 合成回车不发送(普通 Enter + Cmd/Ctrl+Enter 双分支)+ handleSend 闭包修复

P2 安全纵深:
- preload 移除原始 electronAPI 暴露(渲染层零使用,关掉 XSS invoke 任意通道单点风险)
- CORS 同源回显根治(仅当前浏览页面 Origin,did-navigate 同步)
- MEMORY.md 命令保护正则扩展(括号/$/反引号/< 重定向边界 + 前导路径)
- write_file append TOCTOU 统一(open 后 realpath 校验,新文件分支补漏)
- 敏感键归一化(authKey 驼峰/连字符命中)+ MCP headers 鉴权值加密落库
- ReDoS 检测共享化(search_files/file_editor 统一拦截)
- run_tests/lint_code 升风险 + 需确认 + npx --no-install(执行边界对齐 run_command)
- MCP/SearXNG/llm.baseURL/updateFeedUrl 配置类 URL 高危目标校验(IPv6 去括号 +
  十六进制映射解析 + 尾点剥离)

P3 架构还债:
- temperature/maxTokens 热生效(引擎/编排器/SubAgent 三处接线)+ setBatch 单事务落盘
- SessionRecorder flush 竞态根治(flushPromise 等待 + 超限内联落盘 + stopRecording async)
- 内存收口(lastConsolidationBySession LRU / subTraces 清理 / 会话删除 disposeEngine)
- i18n 全量收口(28 组件 + 353 key 双字典,状态标签改渲染时函数)
- 死代码清理(updateTraceStep/HEADER_HEIGHT/void preA/失实注释)
- 斜杠菜单 MUI 化 + 删除逻辑收敛 resetSessionState + Blob URL 统一释放 +
  用户消息"仅保存"落库(saveMessage 透传前端 id 修复 id 错位)

P4 能力演进:
- 死循环检测拆分(驻留前置 + 乒乓后置带进度信号,合法交替不误报)
- run-lock 30s 超时强制 abort(旧 run 卡死不无限排队)
- RETRY 双通道 stream_reset(前端按 run 归属精确清空,根治重试文本重复)
- FTS5 trigram 中文子串搜索(迁移 9 版本化 SCHEMA_VERSION=2,≤2 字符 LIKE 回退)
- getContextWindow 兜底 1M→128K(未知模型防 413)

测试:
- 855 → 2406 用例(+1551,2.8 倍):服务层 +325(含 MemoryManager 51 新用例)、
  工具实体 +483、IPC/适配器 +390(含 OpenAI/Anthropic/Ollama 独立套件)、
  纯函数表格化 +330;引入 jsdom + @testing-library(14 组件测试文件 249 用例)
- 修复 R1(saveMessage id 透传)/ R2(stream_reset 精确归属)两个回归缺陷
- 遗留低危项清零:git-tools 顺序耦合 / web-fetch 真实时间退避 / slo 内存断言 /
  mcp-security 多余 skipIf / deepseek-balance 命名误导 / 组件 mock 注入脆弱性

版本: 0.7.4; README 同步(工具风险表/版本徽章); 依赖: 移除 @electron-toolkit/preload,
新增 jsdom/@testing-library(devDependencies 不打包)

回归: typecheck 双端 0 错误; ESLint 0/0; Electron ABI 全量 2406/2406 零跳过;
系统 Node 2110 通过 296 跳过(better-sqlite3 ABI)
2026-08-30 19:19:07 +08:00

285 lines
8.0 KiB
TypeScript
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
/**
* Health Checker + SLO Monitor — 健康检查器与 SLO 监控
*
* HealthChecker: 对数据库连通性、磁盘空间、内存使用执行真实检查。
* SLOMonitor: C-9 修复 — 补全 SLO 监控核心功能(错误率、延迟分布、吞吐量、燃烧速率)。
*
* @see docs/生产级通用 AI Agent 智能体桌面应用:完整设计与构建指南.html — 第十一章
*/
import { existsSync } from 'fs';
import { app } from 'electron';
import type Database from 'better-sqlite3';
export interface HealthReport {
healthy: boolean;
checks: HealthCheck[];
timestamp: Date;
}
export interface HealthCheck {
name: string;
healthy: boolean;
latencyMs?: number;
error?: string;
}
export class HealthChecker {
/**
* @param getDB 数据库获取器(用于真实验证数据库连通性)
* @param dbPath 数据库文件路径(后备:文件存在性检查)
*/
constructor(
private getDB?: () => Database.Database,
private dbPath?: string,
) {}
async check(): Promise<HealthReport> {
const checks: HealthCheck[] = [];
checks.push(await this.checkDatabase());
checks.push(await this.checkFreeMemory());
checks.push(await this.checkMemoryUsage());
const allHealthy = checks.every((c) => c.healthy);
return { healthy: allHealthy, checks, timestamp: new Date() };
}
private async checkDatabase(): Promise<HealthCheck> {
const start = Date.now();
try {
// 优先使用注入的 DB 实例执行真实 ping
if (this.getDB) {
const db = this.getDB();
// 执行真实查询验证数据库连通性
db.prepare('SELECT 1').get();
return { name: 'database', healthy: true, latencyMs: Date.now() - start };
}
// 后备:检查数据库文件是否存在
if (this.dbPath && existsSync(this.dbPath)) {
return { name: 'database', healthy: true, latencyMs: Date.now() - start };
}
return { name: 'database', healthy: false, error: 'Database not available' };
} catch (error) {
return {
name: 'database',
healthy: false,
error: error instanceof Error ? error.message : String(error),
};
}
}
private async checkFreeMemory(): Promise<HealthCheck> {
try {
const userDataPath = app.getPath('userData');
if (!existsSync(userDataPath)) {
return { name: 'free_memory', healthy: false, error: 'User data path not accessible' };
}
// 检查实际可用内存(Windows/Linux 返回字节数)
const { freemem } = await import('os');
const freeBytes = freemem();
const freeMB = freeBytes / (1024 * 1024);
// 少于 200MB 视为不健康
if (freeMB < 200) {
return {
name: 'free_memory',
healthy: false,
error: `Free memory critically low: ${freeMB.toFixed(0)}MB available`,
};
}
return { name: 'free_memory', healthy: true };
} catch (error) {
return {
name: 'free_memory',
healthy: false,
error: error instanceof Error ? error.message : String(error),
};
}
}
private async checkMemoryUsage(): Promise<HealthCheck> {
const used = process.memoryUsage();
const heapUsedMB = used.heapUsed / 1024 / 1024;
const thresholdMB = 512;
return {
name: 'memory_usage',
healthy: heapUsedMB < thresholdMB,
...(heapUsedMB >= thresholdMB
? { error: `Heap usage ${heapUsedMB.toFixed(0)}MB exceeds threshold ${thresholdMB}MB` }
: {}),
};
}
}
// ===== C-9 修复: SLO Monitor — SLO 监控核心功能 =====
/**
* SLO 监控配置
*/
export interface SLOConfig {
/** SLO 目标(如 0.999 表示 99.9% 可用性) */
target: number;
/** 滑动窗口大小(毫秒,默认 5 分钟) */
windowMs: number;
/** 延迟分位数(如 0.95 表示 P95) */
latencyPercentiles: number[];
/** 延迟告警阈值(毫秒) */
latencyThresholdMs: number;
}
/**
* SLO 请求记录
*/
interface SLORequestRecord {
timestamp: number;
latencyMs: number;
success: boolean;
}
/**
* SLO 状态报告
*/
export interface SLOStatus {
/** 当前错误率(0-1 */
errorRate: number;
/** 当前吞吐量(请求/秒) */
throughput: number;
/** 平均延迟(毫秒) */
avgLatencyMs: number;
/** 延迟分位数 */
percentiles: Record<string, number>;
/** 燃烧速率(实际错误率 / 错误预算) */
burnRate: number;
/** SLO 目标 */
target: number;
/** 错误预算(1 - target */
errorBudget: number;
/** 是否违反 SLO */
violated: boolean;
/** 窗口内总请求数 */
totalRequests: number;
/** 窗口内错误请求数 */
errorRequests: number;
/** 时间戳 */
timestamp: Date;
}
/**
* SLO Monitor — SLO 监控器
*
* C-9 修复: 补全 SLO 监控核心功能
*
* 功能:
* 1. 错误率追踪 — 记录请求成功/失败,计算滑动窗口内错误率
* 2. 延迟分布追踪 — 记录请求延迟,计算 P50/P95/P99 分位数
* 3. 吞吐量追踪 — 计算每秒请求数
* 4. 燃烧速率计算 — 实际错误率 / 错误预算,>1 表示 SLO 即将违反
*
* @see docs/生产级通用 AI Agent 智能体桌面应用:完整设计与构建指南.html — 第十一章
*/
export class SLOMonitor {
private records: SLORequestRecord[] = [];
private readonly config: SLOConfig;
constructor(config: Partial<SLOConfig> = {}) {
this.config = {
target: 0.999,
windowMs: 5 * 60 * 1000, // 5 分钟
latencyPercentiles: [0.5, 0.95, 0.99],
latencyThresholdMs: 5000,
...config,
};
}
/**
* 记录一次请求
* @param latencyMs 延迟(毫秒)
* @param success 是否成功
*/
recordRequest(latencyMs: number, success: boolean): void {
const record: SLORequestRecord = {
timestamp: Date.now(),
latencyMs,
success,
};
this.records.push(record);
// 清理过期记录
this.cleanup();
}
/**
* 清理窗口外的过期记录
*/
private cleanup(): void {
const cutoff = Date.now() - this.config.windowMs;
// v0.7.4 P3-3: 修正失实注释 —— 保留窗口长度(windowMs,5 分钟),
// 不额外多留窗口外的数据(getStatus 只统计窗口内记录)
this.records = this.records.filter((r) => r.timestamp >= cutoff);
}
/**
* 获取当前 SLO 状态
*/
getStatus(): SLOStatus {
this.cleanup();
const now = Date.now();
const windowStart = now - this.config.windowMs;
const windowRecords = this.records.filter((r) => r.timestamp >= windowStart);
const totalRequests = windowRecords.length;
const errorRequests = windowRecords.filter((r) => !r.success).length;
const errorRate = totalRequests > 0 ? errorRequests / totalRequests : 0;
const throughput = totalRequests / (this.config.windowMs / 1000);
const latencies = windowRecords.map((r) => r.latencyMs).sort((a, b) => a - b);
const avgLatencyMs =
latencies.length > 0 ? latencies.reduce((sum, l) => sum + l, 0) / latencies.length : 0;
const percentiles: Record<string, number> = {};
for (const p of this.config.latencyPercentiles) {
const key = `P${(p * 100).toFixed(0)}`;
percentiles[key] = this.calculatePercentile(latencies, p);
}
const errorBudget = 1 - this.config.target;
const burnRate = errorBudget > 0 ? errorRate / errorBudget : 0;
return {
errorRate,
throughput,
avgLatencyMs,
percentiles,
burnRate,
target: this.config.target,
errorBudget,
violated: burnRate > 1,
totalRequests,
errorRequests,
timestamp: new Date(),
};
}
/**
* 计算分位数
*/
private calculatePercentile(sortedValues: number[], percentile: number): number {
if (sortedValues.length === 0) return 0;
const index = Math.ceil(percentile * sortedValues.length) - 1;
return sortedValues[Math.max(0, index)];
}
/**
* 重置所有记录
*/
reset(): void {
this.records = [];
}
/**
* 获取配置
*/
getConfig(): SLOConfig {
return { ...this.config };
}
}