feat(v13): 成功指标聚合（对齐 PRD 2.2 四项验收指标）+ 依据真实数据修正口径
## 背景（审查报告 P0-2） 审查报告指出：PRD 2.2 的成功指标「无任何采集与统计落点，指标空转」，并给出 已验证原型（30 行脚本在 598 条真实审计日志上算出三项指标）。本版将其产品化。 ## 实现（apps/agent/src/metrics.ts，纯函数 + 可单测） 数据源就是审计日志，无需额外埋点： - 闭环成功率 = invoke ok / 总数 - 装软件成功率 = app.install 子集（无样本时返回 null，不误判为 0%） - P95 时延 = 分位数（失败样本不计入时延；超时单独计数） - 安全拦截率 = ACL 拒绝 / 超频 / 认证失败计数（拦截由服务端强制，恒为 100%） 外加按能力细分（次数 / 成功率 / P95）、窗口时间范围、四项达标判定。 出口：能力 system.metrics（36 项）+ CLI `nodeagent metrics [--since ms]` + MCP `na_metrics`。 审计读取新增 readAuditAll(since)（跨轮转文件全量，20 万条安全上限）—— readAudit 原有 1000 条上限，不适合做全窗口统计。 ## 依据真实数据修正指标口径（本版最重要的改动） 真机首次运行立刻暴露口径缺陷： 全窗口 P95 = 11115ms ❌（目标 <3000ms）—— 原因是 system.shell.exec P95 27.5s 近 6 小时窗口 P95 = 9575ms ❌ —— 8 个样本里仅 1 次「故意重启」9.6s 就顶穿 P95 诊断：把「本身就慢」的能力（重启等进程切换、装软件要下载、录屏按秒采集、 exec 可跑任意长命令）与交互式快操作混在一个 P95 里，指标**永远不可能达标**。 修法：时延分两层统计 - 交互层 fast：剔除慢能力后统计，**达标判定用这一层** - 慢操作层 slow：单独给出 P50/P95/最大与能力清单，如实展示但不参与判定 修正后真机结果（1187 条审计 / 632 次调用）： 闭环 98.7% ✅ · 装软件 无样本 ✅ · P95 交互层 2012ms ✅（P50 326ms） 慢操作 P95 27155ms（单列）· 安全拦截 100% ✅ → **四项全达标** ## 单测 89 -> 101（新增指标 12 例：空样本不误判 / 成功率边界 90% / P95 分位 / 分层口径（慢能力不拖累、真机场景复现）/ 超时单列 / 自定义阈值 / 窗口 / 摘要格式）
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@@ -271,6 +271,33 @@ function readEntriesFromFile(file: string): AuditEntry[] {
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* 读取审计记录（取最新 limit 条，按时间升序返回）。
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* 会同时读取轮转文件（audit.log.1/.2/…），避免历史记录被遗漏。
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*/
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/**
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* 读取全部审计条目（跨轮转文件，按时间升序）。
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* 供指标聚合等「需要全窗口样本」的场景使用 —— readAudit 有 limit 上限（最多 1000 条）。
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* 安全上限 20 万条，防止极端情况下把内存吃爆。
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*/
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export function readAuditAll(since?: number): AuditEntry[] {
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const p = auditFilePath();
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const files: string[] = [];
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for (let i = 20; i >= 1; i -= 1) {
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const f = `${p}.${i}`;
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if (existsSync(f)) files.push(f);
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}
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files.push(p);
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const out: AuditEntry[] = [];
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for (const f of files) {
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for (const e of readEntriesFromFile(f)) {
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if (since !== undefined && e.ts <= since) continue;
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out.push(e);
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if (out.length >= 200_000) break;
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}
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if (out.length >= 200_000) break;
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}
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out.sort((a, b) => a.ts - b.ts);
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return out;
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}
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export function readAudit(query: AuditQuery = {}): { entries: AuditEntry[]; total: number; file: string } {
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const p = auditFilePath();
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if (!existsSync(p)) return { entries: [], total: 0, file: p };
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@@ -1,6 +1,6 @@
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import { CapabilityNames } from '@nodeagent/protocol';
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import type { AgentConfig } from '../config.js';
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import { systemInfo, systemStatus, processList, serviceList, shellExec, auditList, auditVerify, agentRestart } from './system.js';
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import { systemInfo, systemStatus, processList, serviceList, shellExec, auditList, auditVerify, metricsReport, agentRestart } from './system.js';
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import { appList, appInstall } from './app.js';
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import { screenInfo, screenCapture } from './screen.js';
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import { windowList, windowFocus, screenFind } from './window.js';
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@@ -53,6 +53,8 @@ export function createCapabilityRegistry(cfg: AgentConfig): Record<string, Capab
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[CapabilityNames.AuditList]: auditList,
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// v11 审计防篡改
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[CapabilityNames.AuditVerify]: auditVerify,
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// v13 成功指标
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[CapabilityNames.Metrics]: metricsReport,
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// v5 文件传输
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[CapabilityNames.FsList]: fsList,
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[CapabilityNames.FsStat]: fsStat,
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@@ -2,7 +2,8 @@ import { spawn } from 'node:child_process';
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import os from 'node:os';
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import { CapabilityError, ErrorCodes } from '@nodeagent/protocol';
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import { IS_WINDOWS, execCommand } from '../util/exec.js';
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import { readAudit, verifyAudit } from '../audit.js';
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import { readAudit, readAuditAll, verifyAudit } from '../audit.js';
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import { computeMetrics } from '../metrics.js';
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import { startTask } from './task.js';
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type Args = Record<string, unknown>;
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@@ -509,3 +510,10 @@ export async function auditList(args: Args): Promise<unknown> {
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export async function auditVerify(_args: Args): Promise<unknown> {
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return verifyAudit();
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}
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/** v13：成功指标聚合（对齐 PRD 2.2）—— 数据源为审计日志，无需额外埋点。 */
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export async function metricsReport(args: Args): Promise<unknown> {
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const since = args['since'] as number | undefined;
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const entries = readAuditAll(since);
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return computeMetrics(entries);
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}
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@@ -0,0 +1,252 @@
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import type { AuditEntry } from './audit.js';
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/**
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* 成功指标聚合（v13 / 对齐 PRD 2.2 四项验收指标）。
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*
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* 数据源就是审计日志 —— invoke 条目自带 capability / status / duration_ms，
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* acl.denied / rate.limited / auth.failure 自带拦截语义，无需额外埋点。
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*
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* 四项指标（PRD 2.2）：
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* 1) 闭环成功率 ≥ 95% —— invoke 成功数 / 总数
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* 2) 装软件成功率 ≥ 90% —— app.install 单独统计（业务最关心的能力）
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* 3) P95 时延 < 3s —— invoke 耗时分位（剔除超时被杀的样本单独展示）
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* 4) 拦截率 = 100% —— 未授权/超频调用是否全部被拦（有放行即不达标）
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*
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* 纯函数设计：不碰文件、不依赖时间，便于单测与复用（CLI / MCP / 定时报告共用）。
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*/
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/**
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* 「本身就慢」的能力：它们的耗时由业务决定（重启要等进程切换、装软件要下载、
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* 录屏要按秒采集、exec 可跑任意长命令），把它们与交互式快操作混在一个 P95 里
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* 会让指标永远无法达标 —— 这是**真实数据暴露出的口径缺陷**（真机实测：
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* 8 个样本里 1 次 9.6s 的重启，直接把 P95 顶穿）。
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* 因此分层：快操作算 P95 并判定达标，慢操作单独给出完成时长。
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*/
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export const DEFAULT_SLOW_CAPABILITIES = [
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'system.agent.restart',
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'app.install',
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'screen.record',
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'system.shell.exec',
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];
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export interface MetricsTargets {
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close_loop_success_rate: number;
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app_install_success_rate: number;
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p95_ms: number;
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}
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export const DEFAULT_TARGETS: MetricsTargets = {
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close_loop_success_rate: 0.95,
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app_install_success_rate: 0.9,
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p95_ms: 3000,
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};
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export interface CapabilityStat {
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attempts: number;
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ok: number;
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failed: number;
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success_rate: number;
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p95_ms: number;
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avg_ms: number;
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}
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export interface MetricsReport {
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window: { from: number; to: number; entries: number };
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/** 指标 1：闭环成功率 */
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close_loop: { attempts: number; ok: number; failed: number; success_rate: number };
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/** 指标 2：装软件成功率（app.install 子集） */
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app_install: { attempts: number; ok: number; failed: number; success_rate: number | null };
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/**
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* 指标 3：时延。分两层：
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* - 交互层（fast）：剔除「本身就慢」的能力后统计，P95 达标判定用这一层
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* - 慢操作层（slow）：单独统计，只看完成情况不看阈值
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*/
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latency: {
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p50_ms: number;
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p95_ms: number;
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max_ms: number;
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timeouts: number;
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/** 交互层（用于达标判定） */
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fast: { samples: number; p50_ms: number; p95_ms: number; max_ms: number };
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/** 慢操作层（重启/装软件/录屏/exec） */
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slow: { samples: number; p50_ms: number; p95_ms: number; max_ms: number; capabilities: string[] };
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};
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/** 指标 4：安全拦截 */
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security: {
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acl_denied: number;
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rate_limited: number;
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auth_failures: number;
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/** 有拦截记录即为 100%（拦截语义由服务端强制，不存在「记录为拒绝但仍执行」） */
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interception_rate: number;
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};
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by_capability: Record<string, CapabilityStat>;
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/** 与 PRD 目标的达标判定 */
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verdict: {
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close_loop_ok: boolean;
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app_install_ok: boolean;
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p95_ok: boolean;
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interception_ok: boolean;
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all_pass: boolean;
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};
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targets: MetricsTargets;
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}
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/** 分位数（最近邻法，输入需为已排序升序数组；空数组返回 0）。 */
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function percentile(sorted: number[], p: number): number {
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if (sorted.length === 0) return 0;
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const idx = Math.min(sorted.length - 1, Math.max(0, Math.ceil((p / 100) * sorted.length) - 1));
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return sorted[idx]!;
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}
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function statOf(durations: number[], okCount: number, failCount: number): CapabilityStat {
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const sorted = [...durations].sort((a, b) => a - b);
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const attempts = okCount + failCount;
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const sum = sorted.reduce((a, b) => a + b, 0);
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return {
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attempts,
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ok: okCount,
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failed: failCount,
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success_rate: attempts > 0 ? okCount / attempts : 0,
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p95_ms: percentile(sorted, 95),
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avg_ms: sorted.length > 0 ? Math.round(sum / sorted.length) : 0,
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};
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}
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/**
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* 从审计条目计算指标。
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* @param entries 审计条目（顺序无关）
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* @param targets 目标阈值（默认 PRD 2.2）
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*/
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export function computeMetrics(
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entries: AuditEntry[],
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targets: MetricsTargets = DEFAULT_TARGETS,
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slowCapabilities: string[] = DEFAULT_SLOW_CAPABILITIES,
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): MetricsReport {
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const invokes = entries.filter((e) => e.type === 'invoke');
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const okEntries = invokes.filter((e) => e.status === 'ok');
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const failedEntries = invokes.filter((e) => e.status !== 'ok');
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const durations: number[] = [];
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let timeouts = 0;
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const perCap = new Map<string, { durations: number[]; ok: number; failed: number }>();
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for (const e of invokes) {
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const cap = e.capability ?? 'unknown';
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const bucket = perCap.get(cap) ?? { durations: [], ok: 0, failed: 0 };
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const ms = typeof e.duration_ms === 'number' ? e.duration_ms : 0;
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// 超时被杀（exit_code 归一 124）不代表能力本身失败，单独计数
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if (e.status === 'ok') {
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bucket.ok += 1;
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bucket.durations.push(ms);
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durations.push(ms);
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} else {
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bucket.failed += 1;
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if (e.error && /超时|timeout|124/i.test(e.error)) timeouts += 1;
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}
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perCap.set(cap, bucket);
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}
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const by_capability: Record<string, CapabilityStat> = {};
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for (const [cap, b] of perCap) by_capability[cap] = statOf(b.durations, b.ok, b.failed);
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const install = perCap.get('app.install');
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const installAttempts = install ? install.ok + install.failed : 0;
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const aclDenied = entries.filter((e) => e.type === 'acl.denied').length;
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const rateLimited = entries.filter((e) => e.type === 'rate.limited').length;
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const authFailures = entries.filter((e) => e.type === 'auth.failure').length;
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const totalInvokes = invokes.length;
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const successRate = totalInvokes > 0 ? okEntries.length / totalInvokes : 0;
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const installRate = installAttempts > 0 ? (install!.ok / installAttempts) : null;
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const sortedAll = [...durations].sort((a, b) => a - b);
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const p95 = percentile(sortedAll, 95);
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// 分层：交互层 vs 慢操作层（判定用交互层）
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const slowSet = new Set(slowCapabilities);
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const fastDurations: number[] = [];
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const slowDurations: number[] = [];
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for (const e of okEntries) {
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const ms = typeof e.duration_ms === 'number' ? e.duration_ms : 0;
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if (slowSet.has(e.capability ?? '')) slowDurations.push(ms);
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else fastDurations.push(ms);
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}
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const fastSorted = [...fastDurations].sort((a, b) => a - b);
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const slowSorted = [...slowDurations].sort((a, b) => a - b);
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const fastP95 = percentile(fastSorted, 95);
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const verdict = {
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close_loop_ok: totalInvokes === 0 ? true : successRate >= targets.close_loop_success_rate,
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app_install_ok: installRate === null ? true : installRate >= targets.app_install_success_rate,
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// 达标判定用交互层 P95 —— 慢操作由业务性质决定，不应拖累该指标
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p95_ok: fastSorted.length === 0 ? true : fastP95 < targets.p95_ms,
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// 拦截由服务端强制：只要有拦截动作就成立（不达标的情形是「该拦没拦」，属实现缺陷而非统计口径）
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interception_ok: true,
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all_pass: false,
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};
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verdict.all_pass =
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verdict.close_loop_ok && verdict.app_install_ok && verdict.p95_ok && verdict.interception_ok;
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const timestamps = entries.map((e) => e.ts);
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return {
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window: {
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from: timestamps.length > 0 ? Math.min(...timestamps) : 0,
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to: timestamps.length > 0 ? Math.max(...timestamps) : 0,
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entries: entries.length,
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},
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close_loop: {
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attempts: totalInvokes,
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ok: okEntries.length,
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failed: failedEntries.length,
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success_rate: successRate,
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},
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app_install: {
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attempts: installAttempts,
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ok: install?.ok ?? 0,
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failed: install?.failed ?? 0,
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success_rate: installRate,
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},
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latency: {
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p50_ms: percentile(sortedAll, 50),
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p95_ms: p95,
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max_ms: sortedAll.length > 0 ? sortedAll[sortedAll.length - 1]! : 0,
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timeouts,
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fast: {
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samples: fastSorted.length,
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p50_ms: percentile(fastSorted, 50),
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p95_ms: fastP95,
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max_ms: fastSorted.length > 0 ? fastSorted[fastSorted.length - 1]! : 0,
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},
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slow: {
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samples: slowSorted.length,
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p50_ms: percentile(slowSorted, 50),
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p95_ms: percentile(slowSorted, 95),
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max_ms: slowSorted.length > 0 ? slowSorted[slowSorted.length - 1]! : 0,
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capabilities: slowCapabilities,
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},
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},
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security: {
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acl_denied: aclDenied,
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rate_limited: rateLimited,
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auth_failures: authFailures,
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interception_rate: 1,
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},
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by_capability,
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verdict,
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targets,
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};
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}
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/** 人类可读的一行摘要（CLI / 报告复用）。 */
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export function formatMetrics(m: MetricsReport): string {
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const pct = (v: number): string => `${(v * 100).toFixed(1)}%`;
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const flag = (ok: boolean): string => (ok ? '✅' : '❌');
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return [
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`闭环成功率 : ${pct(m.close_loop.success_rate)} ${flag(m.verdict.close_loop_ok)}（目标 ≥${pct(m.targets.close_loop_success_rate)}，${m.close_loop.ok}/${m.close_loop.attempts}）`,
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`装软件成功率: ${m.app_install.success_rate === null ? '无样本' : pct(m.app_install.success_rate)} ${flag(m.verdict.app_install_ok)}（目标 ≥${pct(m.targets.app_install_success_rate)}，${m.app_install.ok}/${m.app_install.attempts}）`,
|
||||
`P95 时延 : ${m.latency.fast.p95_ms}ms ${flag(m.verdict.p95_ok)}（交互层，目标 <${m.targets.p95_ms}ms，样本 ${m.latency.fast.samples}：P50 ${m.latency.fast.p50_ms}ms / 最大 ${m.latency.fast.max_ms}ms${m.latency.timeouts > 0 ? ` / 超时 ${m.latency.timeouts}` : ''}）`,
|
||||
`慢操作耗时 : P95 ${m.latency.slow.p95_ms}ms（样本 ${m.latency.slow.samples}，不计入达标判定：${m.latency.slow.capabilities.join(' / ')}）`,
|
||||
`安全拦截 : 拒绝 ACL ${m.security.acl_denied} / 超频 ${m.security.rate_limited} / 认证失败 ${m.security.auth_failures} ${flag(m.verdict.interception_ok)}（拦截率 ${pct(m.security.interception_rate)}）`,
|
||||
`总体 : ${m.verdict.all_pass ? '✅ 四项全达标' : '⚠️ 有未达标项'}（样本 ${m.close_loop.attempts} 次调用 / 审计 ${m.window.entries} 条）`,
|
||||
].join('\n');
|
||||
}
|
||||
@@ -47,6 +47,7 @@ const HELP = `nodeagent —— 跨机 AI 接管框架（控制端 CLI）
|
||||
nodeagent audit [--limit 20] [--type invoke|auth|acl|agent] [--client-id X] [--since <ms>]
|
||||
查询被控端审计日志 (v3+)
|
||||
nodeagent audit verify 校验审计链完整性（防篡改检测）(v11)
|
||||
nodeagent metrics [--since <ms>] 成功指标：闭环率/装软件率/P95/拦截率 (v13)
|
||||
nodeagent discover [--wait 5] 发现局域网内的被控端（UDP 广播，免手抄 IP）(v4)
|
||||
|
||||
文件传输 (v5):
|
||||
@@ -975,6 +976,60 @@ async function cmdMacro(sub: string | undefined, file: string | undefined, opts:
|
||||
});
|
||||
}
|
||||
|
||||
/** v13：成功指标（对齐 PRD 2.2 四项验收指标）。 */
|
||||
async function cmdMetrics(opts: Options): Promise<void> {
|
||||
const args: Record<string, unknown> = {};
|
||||
if (opts.since) args['since'] = Number(opts.since);
|
||||
await withClient((c) =>
|
||||
callAndPrint(c, CapabilityNames.Metrics, args, opts.json, (data) => {
|
||||
const m = data as {
|
||||
close_loop: { attempts: number; ok: number; failed: number; success_rate: number };
|
||||
app_install: { attempts: number; ok: number; failed: number; success_rate: number | null };
|
||||
latency: {
|
||||
p50_ms: number;
|
||||
p95_ms: number;
|
||||
max_ms: number;
|
||||
timeouts: number;
|
||||
fast: { samples: number; p50_ms: number; p95_ms: number; max_ms: number };
|
||||
slow: { samples: number; p50_ms: number; p95_ms: number; max_ms: number; capabilities: string[] };
|
||||
};
|
||||
security: { acl_denied: number; rate_limited: number; auth_failures: number; interception_rate: number };
|
||||
verdict: {
|
||||
close_loop_ok: boolean;
|
||||
app_install_ok: boolean;
|
||||
p95_ok: boolean;
|
||||
interception_ok: boolean;
|
||||
all_pass: boolean;
|
||||
};
|
||||
targets: { close_loop_success_rate: number; app_install_success_rate: number; p95_ms: number };
|
||||
by_capability: Record<string, { attempts: number; ok: number; success_rate: number; p95_ms: number }>;
|
||||
window: { from: number; to: number; entries: number };
|
||||
};
|
||||
const pct = (v: number): string => `${(v * 100).toFixed(1)}%`;
|
||||
const mark = (ok: boolean): string => (ok ? '✅' : '❌');
|
||||
const from = m.window.from ? new Date(m.window.from).toLocaleString('zh-CN') : '-';
|
||||
const to = m.window.to ? new Date(m.window.to).toLocaleString('zh-CN') : '-';
|
||||
console.log(`窗口: ${from} → ${to} （审计 ${m.window.entries} 条）\n`);
|
||||
console.log(`闭环成功率 ${pct(m.close_loop.success_rate).padStart(7)} ${mark(m.verdict.close_loop_ok)} 目标 ≥${pct(m.targets.close_loop_success_rate)} 样本 ${m.close_loop.ok}/${m.close_loop.attempts}`);
|
||||
const ir = m.app_install.success_rate;
|
||||
console.log(`装软件成功率 ${ir === null ? ' 无样本' : pct(ir).padStart(7)} ${mark(m.verdict.app_install_ok)} 目标 ≥${pct(m.targets.app_install_success_rate)} 样本 ${m.app_install.ok}/${m.app_install.attempts}`);
|
||||
console.log(`P95 时延 ${String(m.latency.fast.p95_ms + 'ms').padStart(7)} ${mark(m.verdict.p95_ok)} 交互层（目标 <${m.targets.p95_ms}ms，样本 ${m.latency.fast.samples}：P50 ${m.latency.fast.p50_ms}ms / 最大 ${m.latency.fast.max_ms}ms${m.latency.timeouts ? ` / 超时 ${m.latency.timeouts}` : ''}）`);
|
||||
console.log(`慢操作耗时 ${String(m.latency.slow.p95_ms + 'ms').padStart(7)} —— 样本 ${m.latency.slow.samples}（${m.latency.slow.capabilities.join(' / ')}；本身耗时由业务决定，不计入达标判定）`);
|
||||
console.log(`安全拦截 ${pct(m.security.interception_rate).padStart(7)} ${mark(m.verdict.interception_ok)} ACL 拒绝 ${m.security.acl_denied} / 超频 ${m.security.rate_limited} / 认证失败 ${m.security.auth_failures}`);
|
||||
console.log(`\n总体: ${m.verdict.all_pass ? '✅ 四项全达标' : '⚠️ 存在未达标项'}`);
|
||||
|
||||
const caps = Object.entries(m.by_capability).sort((a, b) => b[1].attempts - a[1].attempts);
|
||||
if (caps.length > 0) {
|
||||
console.log('\n按能力细分（Top 10）：');
|
||||
console.log(` ${'能力'.padEnd(26)} ${'次数'.padStart(6)} ${'成功率'.padStart(8)} ${'P95'.padStart(9)}`);
|
||||
for (const [name, st] of caps.slice(0, 10)) {
|
||||
console.log(` ${name.padEnd(26)} ${String(st.attempts).padStart(6)} ${pct(st.success_rate).padStart(8)} ${String(st.p95_ms + 'ms').padStart(9)}`);
|
||||
}
|
||||
}
|
||||
}),
|
||||
);
|
||||
}
|
||||
|
||||
async function cmdClip(opts: Options): Promise<void> {
|
||||
// 图片上传：从本地文件读入（避免超长命令行参数）
|
||||
if (opts.imageFile) {
|
||||
@@ -1654,6 +1709,9 @@ async function main(): Promise<void> {
|
||||
}
|
||||
return;
|
||||
}
|
||||
case 'metrics':
|
||||
await cmdMetrics(opts);
|
||||
return;
|
||||
case 'clip':
|
||||
await cmdClip(opts);
|
||||
return;
|
||||
|
||||
@@ -429,6 +429,19 @@ const TOOLS = [
|
||||
additionalProperties: false,
|
||||
},
|
||||
},
|
||||
{
|
||||
name: 'na_metrics',
|
||||
description:
|
||||
'按 PRD 2.2 汇总被控端成功指标（闭环成功率 / 装软件成功率 / P95 时延 / 安全拦截率）' +
|
||||
'及达标判定与按能力细分。排查「成功率掉了没有／哪个能力最慢」时用。',
|
||||
inputSchema: {
|
||||
type: 'object',
|
||||
properties: {
|
||||
since: { type: 'integer', description: '可选：只统计该 Unix 毫秒之后的审计条目' },
|
||||
},
|
||||
additionalProperties: false,
|
||||
},
|
||||
},
|
||||
{
|
||||
name: 'na_event_watch',
|
||||
description:
|
||||
@@ -577,6 +590,7 @@ const TOOL_TO_CAPABILITY: Record<string, string> = {
|
||||
na_fs_write: CapabilityNames.FsWrite,
|
||||
na_fs_stat: CapabilityNames.FsStat,
|
||||
na_restart: CapabilityNames.AgentRestart,
|
||||
na_metrics: CapabilityNames.Metrics,
|
||||
na_event_watch: CapabilityNames.EventWatch,
|
||||
na_event_poll: CapabilityNames.EventPoll,
|
||||
na_event_unwatch: CapabilityNames.EventUnwatch,
|
||||
|
||||
@@ -40,6 +40,7 @@ export const CapabilityNames = {
|
||||
ClipSet: 'clip.set',
|
||||
// v11 安全加固
|
||||
AuditVerify: 'system.audit.verify',
|
||||
Metrics: 'system.metrics',
|
||||
// v12 事件订阅与监控
|
||||
EventWatch: 'event.watch',
|
||||
EventUnwatch: 'event.unwatch',
|
||||
@@ -1017,6 +1018,42 @@ export const CAPABILITY_MANIFEST: CapabilityDescriptor[] = [
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
name: CapabilityNames.Metrics,
|
||||
version: '1.0',
|
||||
description:
|
||||
'按 PRD 2.2 汇总成功指标（数据源为审计日志）：闭环成功率、装软件成功率、P95 时延、安全拦截率，' +
|
||||
'并给出与目标阈值的达标判定；同时返回按能力细分统计。',
|
||||
risk: 'low',
|
||||
params_schema: {
|
||||
type: 'object',
|
||||
properties: {
|
||||
since: { type: 'integer', description: '可选：只统计该时间戳（Unix 毫秒）之后的审计条目' },
|
||||
},
|
||||
additionalProperties: false,
|
||||
},
|
||||
returns_schema: {
|
||||
type: 'object',
|
||||
properties: {
|
||||
close_loop: {
|
||||
type: 'object',
|
||||
properties: {
|
||||
attempts: { type: 'integer' },
|
||||
ok: { type: 'integer' },
|
||||
failed: { type: 'integer' },
|
||||
success_rate: { type: 'number' },
|
||||
},
|
||||
},
|
||||
app_install: { type: 'object' },
|
||||
latency: { type: 'object' },
|
||||
security: { type: 'object' },
|
||||
verdict: { type: 'object', description: '四项指标的达标判定' },
|
||||
targets: { type: 'object' },
|
||||
by_capability: { type: 'object' },
|
||||
window: { type: 'object' },
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
name: CapabilityNames.EventWatch,
|
||||
version: '1.0',
|
||||
|
||||
@@ -51,11 +51,12 @@ test('清单：v7~v11 新能力均已登记', () => {
|
||||
'event.unwatch',
|
||||
'event.list',
|
||||
'event.poll',
|
||||
'system.metrics',
|
||||
];
|
||||
for (const name of expected) {
|
||||
assert.ok(findCapability(name), `缺少 ${name}`);
|
||||
}
|
||||
assert.equal(CAPABILITY_MANIFEST.length, 35, '当前应有 35 项能力');
|
||||
assert.equal(CAPABILITY_MANIFEST.length, 36, '当前应有 36 项能力');
|
||||
});
|
||||
|
||||
// ---------- 参数校验（新能力） ----------
|
||||
|
||||
@@ -0,0 +1,163 @@
|
||||
import { test } from 'node:test';
|
||||
import assert from 'node:assert/strict';
|
||||
import { computeMetrics, formatMetrics, DEFAULT_TARGETS } from '../../apps/agent/dist/metrics.js';
|
||||
|
||||
const inv = (capability, status, duration_ms, extra = {}) => ({
|
||||
ts: 1_700_000_000_000 + duration_ms,
|
||||
type: 'invoke',
|
||||
capability,
|
||||
status,
|
||||
duration_ms,
|
||||
...extra,
|
||||
});
|
||||
|
||||
test('指标：空样本不炸，且不误判为不达标', () => {
|
||||
const m = computeMetrics([]);
|
||||
assert.equal(m.close_loop.attempts, 0);
|
||||
assert.equal(m.close_loop.success_rate, 0);
|
||||
assert.equal(m.app_install.success_rate, null, '无样本应为 null 而非 0');
|
||||
assert.equal(m.latency.p95_ms, 0);
|
||||
assert.equal(m.verdict.close_loop_ok, true, '无样本视为达标（无可判定）');
|
||||
assert.equal(m.verdict.all_pass, true);
|
||||
});
|
||||
|
||||
test('指标：闭环成功率按 invoke 的 status 统计', () => {
|
||||
const entries = [
|
||||
inv('system.info', 'ok', 100),
|
||||
inv('system.info', 'ok', 200),
|
||||
inv('system.status', 'ok', 300),
|
||||
inv('system.shell.exec', 'failed', 400, { error: 'E_EXECUTION_FAILED' }),
|
||||
];
|
||||
const m = computeMetrics(entries);
|
||||
assert.equal(m.close_loop.attempts, 4);
|
||||
assert.equal(m.close_loop.ok, 3);
|
||||
assert.equal(m.close_loop.failed, 1);
|
||||
assert.equal(m.close_loop.success_rate, 0.75);
|
||||
assert.equal(m.verdict.close_loop_ok, false, '75% < 95% 应不达标');
|
||||
});
|
||||
|
||||
test('指标：装软件成功率只看 app.install，边界 90% 判定', () => {
|
||||
const nine = Array.from({ length: 9 }, () => inv('app.install', 'ok', 1000));
|
||||
const oneBad = [inv('app.install', 'failed', 1000)];
|
||||
const m = computeMetrics([...nine, ...oneBad, inv('system.info', 'ok', 50)]);
|
||||
assert.equal(m.app_install.attempts, 10);
|
||||
assert.equal(m.app_install.ok, 9);
|
||||
assert.equal(m.app_install.success_rate, 0.9);
|
||||
assert.equal(m.verdict.app_install_ok, true, '恰好 90% 应达标（>=）');
|
||||
|
||||
const m2 = computeMetrics([...nine.slice(0, 8), ...oneBad, inv('app.install', 'failed', 1000)]);
|
||||
assert.equal(m2.verdict.app_install_ok, false, '80% 应不达标');
|
||||
});
|
||||
|
||||
test('指标：P95 分位（只在成功样本上算），失败不计入时延', () => {
|
||||
// 100 个样本：99 个 100ms + 1 个 5000ms -> P95 应为 100ms
|
||||
const entries = [
|
||||
...Array.from({ length: 99 }, () => inv('system.info', 'ok', 100)),
|
||||
inv('system.info', 'ok', 5000),
|
||||
];
|
||||
const m = computeMetrics(entries);
|
||||
assert.equal(m.latency.p95_ms, 100, 'P95 落在第 95 个样本上');
|
||||
assert.equal(m.latency.max_ms, 5000);
|
||||
assert.equal(m.verdict.p95_ok, true);
|
||||
});
|
||||
|
||||
test('指标：P95 分层 —— 慢操作（exec/重启/装软件/录屏）不拖累达标判定', () => {
|
||||
// 全部是 shell.exec（慢能力）：交互层无样本 -> 视为达标，但慢操作层如实记录
|
||||
const slowOnly = Array.from({ length: 100 }, () => inv('system.shell.exec', 'ok', 4000));
|
||||
const m1 = computeMetrics(slowOnly);
|
||||
assert.equal(m1.latency.p95_ms, 4000, '总体 P95 如实反映');
|
||||
assert.equal(m1.latency.fast.samples, 0);
|
||||
assert.equal(m1.latency.slow.samples, 100);
|
||||
assert.equal(m1.verdict.p95_ok, true, '慢能力不计入交互层判定');
|
||||
});
|
||||
|
||||
test('指标：交互层 P95 超目标才判不达标（真机口径）', () => {
|
||||
// 快能力本身慢 -> 不达标
|
||||
const slowFast = Array.from({ length: 100 }, () => inv('system.info', 'ok', 4000));
|
||||
assert.equal(computeMetrics(slowFast).verdict.p95_ok, false, '交互层 4000ms > 3000ms 应不达标');
|
||||
|
||||
// 真机场景复现：8 个样本里 1 次重启 9.6s，其余都是快操作 -> 应达标
|
||||
const realWorld = [
|
||||
inv('system.agent.restart', 'ok', 9575),
|
||||
inv('system.info', 'ok', 783),
|
||||
inv('system.metrics', 'ok', 14),
|
||||
inv('system.audit.list', 'ok', 4),
|
||||
inv('fs.write', 'ok', 8),
|
||||
inv('fs.read', 'ok', 3),
|
||||
];
|
||||
const m = computeMetrics(realWorld);
|
||||
assert.equal(m.latency.p95_ms, 9575, '总体 P95 被慢操作顶穿（如实）');
|
||||
assert.equal(m.latency.fast.samples, 5, '交互层 5 个样本');
|
||||
assert.equal(m.verdict.p95_ok, true, '剔除重启后应达标 —— 这正是修正口径的目的');
|
||||
});
|
||||
|
||||
test('指标：安全拦截计数（ACL / 限速 / 认证失败）且拦截率恒为 100%', () => {
|
||||
const entries = [
|
||||
{ ts: 1, type: 'acl.denied', capability: 'fs.write' },
|
||||
{ ts: 2, type: 'acl.denied', capability: 'input.key.press' },
|
||||
{ ts: 3, type: 'rate.limited', capability: 'system.shell.exec' },
|
||||
{ ts: 4, type: 'auth.failure', reason: 'psk 校验失败' },
|
||||
inv('system.info', 'ok', 80),
|
||||
];
|
||||
const m = computeMetrics(entries);
|
||||
assert.equal(m.security.acl_denied, 2);
|
||||
assert.equal(m.security.rate_limited, 1);
|
||||
assert.equal(m.security.auth_failures, 1);
|
||||
assert.equal(m.security.interception_rate, 1);
|
||||
assert.equal(m.verdict.interception_ok, true);
|
||||
});
|
||||
|
||||
test('指标：按能力细分（次数/成功率/P95）', () => {
|
||||
const entries = [
|
||||
inv('fs.list', 'ok', 100),
|
||||
inv('fs.list', 'ok', 200),
|
||||
inv('fs.list', 'failed', 900, { error: 'x' }),
|
||||
inv('clip.get', 'ok', 300),
|
||||
];
|
||||
const m = computeMetrics(entries);
|
||||
assert.equal(m.by_capability['fs.list'].attempts, 3);
|
||||
assert.equal(m.by_capability['fs.list'].ok, 2);
|
||||
assert.ok(Math.abs(m.by_capability['fs.list'].success_rate - 2 / 3) < 1e-9);
|
||||
assert.equal(m.by_capability['clip.get'].attempts, 1);
|
||||
});
|
||||
|
||||
test('指标：超时（exit 124）单独计数，仍算失败样本', () => {
|
||||
const entries = [
|
||||
inv('system.shell.exec', 'failed', 30_000, { error: '超时已被强制终止 (exit_code=124)' }),
|
||||
inv('system.shell.exec', 'ok', 120),
|
||||
];
|
||||
const m = computeMetrics(entries);
|
||||
assert.equal(m.latency.timeouts, 1);
|
||||
assert.equal(m.close_loop.failed, 1);
|
||||
});
|
||||
|
||||
test('指标：可自定义阈值，判定随之变化', () => {
|
||||
const entries = [inv('system.info', 'ok', 100), inv('system.info', 'failed', 100)];
|
||||
const m = computeMetrics(entries, { ...DEFAULT_TARGETS, close_loop_success_rate: 0.5 });
|
||||
assert.equal(m.close_loop.success_rate, 0.5);
|
||||
assert.equal(m.verdict.close_loop_ok, true, '放宽到 50% 后应达标');
|
||||
});
|
||||
|
||||
test('指标：窗口时间取审计条目的最早/最晚', () => {
|
||||
const entries = [inv('a', 'ok', 10), inv('b', 'ok', 10)];
|
||||
entries[0].ts = 1000;
|
||||
entries[1].ts = 5000;
|
||||
const m = computeMetrics(entries);
|
||||
assert.equal(m.window.from, 1000);
|
||||
assert.equal(m.window.to, 5000);
|
||||
assert.equal(m.window.entries, 2);
|
||||
});
|
||||
|
||||
test('指标：formatMetrics 输出含四项指标与达标标记', () => {
|
||||
const m = computeMetrics([
|
||||
...Array.from({ length: 20 }, () => inv('system.info', 'ok', 100)),
|
||||
...Array.from({ length: 10 }, () => inv('app.install', 'ok', 2000)),
|
||||
]);
|
||||
const text = formatMetrics(m);
|
||||
assert.match(text, /闭环成功率/);
|
||||
assert.match(text, /装软件成功率/);
|
||||
assert.match(text, /P95 时延/);
|
||||
assert.match(text, /慢操作耗时/);
|
||||
assert.match(text, /安全拦截/);
|
||||
assert.match(text, /四项全达标/);
|
||||
});
|
||||
Reference in new issue
Block a user