本次升级基于完整代码审查,修复 Critical/High/Medium/Low 四级共 96 项问题, 并通过返工审计修复 10 项遗留问题,tsc 双端类型检查零错误。 Critical (10/10 完成): - C-4: command.ts 接入 shell-quote 进行 token-level 注入检测,替代原有正则匹配 可防御 r"m" -rf /、$'rm'、$(echo rm) 等字符串拼接绕过 High (11/11 完成): - 竞态保护、Promise.allSettled、AbortController 资源泄漏、IPC 参数校验等 Medium (55/55 完成): - 事务保护、敏感数据脱敏、枚举校验、MUI v9 Stack prop 迁移、 React 组件 cancelled 标志、类型收窄等 Low (20/20 完成): - 辅助方法提取(flushToolCallBuffer/scoreAndPushMemory/tryAddColumn 等) - nanoid 统一替代 Date.now()+Math.random() - confirm() 替换为 MUI Dialog、useMemo 缓存、魔法数字命名化等 返工审计修复 (10/10 完成): - L-11: LogsSettings 残留的原生 confirm()/alert() 全部替换为 MUI Dialog/Alert - M-53: MemoryViewer handleSearch 独立 ref,修复 searching 状态卡死 - M-42: 脱敏短值(length <= 4)泄露修复 - M-47: tasks:update 补全 title/description 类型校验 - L-9: ollama.adapter 非流式路径 nanoid 统一 - M-45: audit:query limit 策略与 memory:listAll 一致化 - SettingsModal handleConfirmRemove 补全 try/catch + loadServers cleanup - L-15: CommandPalette useMemo 补全 sessions 响应式依赖 - useAgentStream 事件类型补全 seq/timestamp 字段 新增依赖: shell-quote + @types/shell-quote 版本号: 0.3.0 -> 0.3.1
285 lines
7.9 KiB
TypeScript
285 lines
7.9 KiB
TypeScript
/**
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* Health Checker + SLO Monitor — 健康检查器与 SLO 监控
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*
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* HealthChecker: 对数据库连通性、磁盘空间、内存使用执行真实检查。
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* 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)。
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*
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* @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
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*/
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import { existsSync } from 'fs';
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import { app } from 'electron';
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import type Database from 'better-sqlite3';
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export interface HealthReport {
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healthy: boolean;
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checks: HealthCheck[];
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timestamp: Date;
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}
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export interface HealthCheck {
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name: string;
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healthy: boolean;
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latencyMs?: number;
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error?: string;
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}
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export class HealthChecker {
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/**
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* @param getDB 数据库获取器(用于真实验证数据库连通性)
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* @param dbPath 数据库文件路径(后备:文件存在性检查)
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*/
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constructor(
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private getDB?: () => Database.Database,
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private dbPath?: string,
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) {}
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async check(): Promise<HealthReport> {
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const checks: HealthCheck[] = [];
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checks.push(await this.checkDatabase());
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checks.push(await this.checkFreeMemory());
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checks.push(await this.checkMemoryUsage());
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const allHealthy = checks.every((c) => c.healthy);
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return { healthy: allHealthy, checks, timestamp: new Date() };
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}
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private async checkDatabase(): Promise<HealthCheck> {
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const start = Date.now();
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try {
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// 优先使用注入的 DB 实例执行真实 ping
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if (this.getDB) {
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const db = this.getDB();
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// 执行真实查询验证数据库连通性
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db.prepare('SELECT 1').get();
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return { name: 'database', healthy: true, latencyMs: Date.now() - start };
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}
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// 后备:检查数据库文件是否存在
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if (this.dbPath && existsSync(this.dbPath)) {
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return { name: 'database', healthy: true, latencyMs: Date.now() - start };
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}
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return { name: 'database', healthy: false, error: 'Database not available' };
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} catch (error) {
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return {
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name: 'database',
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healthy: false,
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error: error instanceof Error ? error.message : String(error),
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};
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}
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}
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private async checkFreeMemory(): Promise<HealthCheck> {
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try {
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const userDataPath = app.getPath('userData');
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if (!existsSync(userDataPath)) {
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return { name: 'free_memory', healthy: false, error: 'User data path not accessible' };
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}
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// 检查实际可用内存(Windows/Linux 返回字节数)
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const { freemem } = await import('os');
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const freeBytes = freemem();
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const freeMB = freeBytes / (1024 * 1024);
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// 少于 200MB 视为不健康
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if (freeMB < 200) {
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return {
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name: 'free_memory',
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healthy: false,
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error: `Free memory critically low: ${freeMB.toFixed(0)}MB available`,
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};
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}
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return { name: 'free_memory', healthy: true };
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} catch (error) {
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return {
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name: 'free_memory',
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healthy: false,
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error: error instanceof Error ? error.message : String(error),
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};
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}
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}
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private async checkMemoryUsage(): Promise<HealthCheck> {
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const used = process.memoryUsage();
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const heapUsedMB = used.heapUsed / 1024 / 1024;
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const thresholdMB = 512;
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return {
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name: 'memory_usage',
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healthy: heapUsedMB < thresholdMB,
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...(heapUsedMB >= thresholdMB
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? { error: `Heap usage ${heapUsedMB.toFixed(0)}MB exceeds threshold ${thresholdMB}MB` }
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: {}),
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};
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}
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}
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// ===== C-9 修复: SLO Monitor — SLO 监控核心功能 =====
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/**
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* SLO 监控配置
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*/
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export interface SLOConfig {
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/** SLO 目标(如 0.999 表示 99.9% 可用性) */
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target: number;
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/** 滑动窗口大小(毫秒,默认 5 分钟) */
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windowMs: number;
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/** 延迟分位数(如 0.95 表示 P95) */
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latencyPercentiles: number[];
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/** 延迟告警阈值(毫秒) */
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latencyThresholdMs: number;
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}
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/**
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* SLO 请求记录
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*/
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interface SLORequestRecord {
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timestamp: number;
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latencyMs: number;
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success: boolean;
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}
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/**
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* SLO 状态报告
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*/
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export interface SLOStatus {
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/** 当前错误率(0-1) */
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errorRate: number;
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/** 当前吞吐量(请求/秒) */
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throughput: number;
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/** 平均延迟(毫秒) */
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avgLatencyMs: number;
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/** 延迟分位数 */
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percentiles: Record<string, number>;
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/** 燃烧速率(实际错误率 / 错误预算) */
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burnRate: number;
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/** SLO 目标 */
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target: number;
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/** 错误预算(1 - target) */
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errorBudget: number;
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/** 是否违反 SLO */
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violated: boolean;
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/** 窗口内总请求数 */
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totalRequests: number;
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/** 窗口内错误请求数 */
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errorRequests: number;
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/** 时间戳 */
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timestamp: Date;
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}
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/**
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* SLO Monitor — SLO 监控器
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*
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* C-9 修复: 补全 SLO 监控核心功能
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*
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* 功能:
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* 1. 错误率追踪 — 记录请求成功/失败,计算滑动窗口内错误率
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* 2. 延迟分布追踪 — 记录请求延迟,计算 P50/P95/P99 分位数
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* 3. 吞吐量追踪 — 计算每秒请求数
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* 4. 燃烧速率计算 — 实际错误率 / 错误预算,>1 表示 SLO 即将违反
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*
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* @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
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*/
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export class SLOMonitor {
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private records: SLORequestRecord[] = [];
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private readonly config: SLOConfig;
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constructor(config: Partial<SLOConfig> = {}) {
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this.config = {
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target: 0.999,
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windowMs: 5 * 60 * 1000, // 5 分钟
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latencyPercentiles: [0.5, 0.95, 0.99],
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latencyThresholdMs: 5000,
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...config,
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};
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}
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/**
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* 记录一次请求
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* @param latencyMs 延迟(毫秒)
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* @param success 是否成功
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*/
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recordRequest(latencyMs: number, success: boolean): void {
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const record: SLORequestRecord = {
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timestamp: Date.now(),
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latencyMs,
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success,
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};
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this.records.push(record);
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// 清理过期记录
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this.cleanup();
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}
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/**
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* 清理窗口外的过期记录
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*/
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private cleanup(): void {
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const cutoff = Date.now() - this.config.windowMs;
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// 保留最近 10 分钟的数据(2 倍窗口),避免边界效应
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this.records = this.records.filter((r) => r.timestamp >= cutoff);
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}
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/**
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* 获取当前 SLO 状态
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*/
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getStatus(): SLOStatus {
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this.cleanup();
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const now = Date.now();
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const windowStart = now - this.config.windowMs;
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const windowRecords = this.records.filter((r) => r.timestamp >= windowStart);
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const totalRequests = windowRecords.length;
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const errorRequests = windowRecords.filter((r) => !r.success).length;
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const errorRate = totalRequests > 0 ? errorRequests / totalRequests : 0;
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const throughput = totalRequests / (this.config.windowMs / 1000);
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const latencies = windowRecords.map((r) => r.latencyMs).sort((a, b) => a - b);
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const avgLatencyMs = latencies.length > 0
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? latencies.reduce((sum, l) => sum + l, 0) / latencies.length
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: 0;
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const percentiles: Record<string, number> = {};
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for (const p of this.config.latencyPercentiles) {
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const key = `P${(p * 100).toFixed(0)}`;
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percentiles[key] = this.calculatePercentile(latencies, p);
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}
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const errorBudget = 1 - this.config.target;
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const burnRate = errorBudget > 0 ? errorRate / errorBudget : 0;
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return {
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errorRate,
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throughput,
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avgLatencyMs,
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percentiles,
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burnRate,
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target: this.config.target,
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errorBudget,
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violated: burnRate > 1,
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totalRequests,
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errorRequests,
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timestamp: new Date(),
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};
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}
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/**
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* 计算分位数
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*/
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private calculatePercentile(sortedValues: number[], percentile: number): number {
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if (sortedValues.length === 0) return 0;
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const index = Math.ceil(percentile * sortedValues.length) - 1;
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return sortedValues[Math.max(0, index)];
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}
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/**
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* 重置所有记录
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*/
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reset(): void {
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this.records = [];
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}
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/**
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* 获取配置
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*/
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getConfig(): SLOConfig {
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return { ...this.config };
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}
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}
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