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* MetricsMiddleware - 性能指标收集 + 自优化触发机制
*
* v2.4.0 新增：
* - 任务失败率自动分析，超过阈值时触发优化建议
* - 重试策略自动调整（基于历史失败模式）
* - 指标持久化与趋势分析
*
* @module middleware/metrics-middleware
*/
const fs = require('fs');
const path = require('path');
// ─── 默认配置 ────────────────────────────────────────────
const DEFAULT_CONFIG = {
// 失败率阈值：超过此比例触发优化建议
failureRateThreshold: 0.25,
// 连续失败次数：连续失败超过此次数触发优化
consecutiveFailureThreshold: 3,
// 指标存储路径
storagePath: path.join(__dirname, '../../.metrics'),
// 优化建议最大缓存数
maxSuggestionHistory: 50,
// 重试策略配置
retry: {
baseDelay: 1000, // 基础延迟 (ms)
maxRetries: 5, // 最大重试次数
backoffMultiplier: 2, // 退避倍数
maxDelay: 30000, // 最大延迟 (ms)
},
// 触发回调
onOptimizationTriggered: null,
};
// ─── MetricsMiddleware 类 ────────────────────────────────
class MetricsMiddleware {
constructor(config = {}) {
this.config = { ...DEFAULT_CONFIG, ...config };
this.metrics = {
totalTasks: 0,
completedTasks: 0,
failedTasks: 0,
pausedTasks: 0,
cancelledTasks: 0,
// 子技能调用指标
skillCalls: {}, // { skillName: { total, success, failed, avgLatency } }
// 时间序列指标（用于趋势分析）
timeSeries: [], // [{ timestamp, failureRate, avgLatency }]
// 优化建议历史
suggestions: [],
};
this._retryStrategies = new Map(); // taskId -> retry config
this._consecutiveFailures = new Map(); // skillName -> count
this._initStorage();
}
// ── 初始化存储 ──────────────────────────────────────────
_initStorage() {
const dir = this.config.storagePath;
if (!fs.existsSync(dir)) {
fs.mkdirSync(dir, { recursive: true });
}
// 加载持久化指标
const metricsFile = path.join(dir, 'metrics.json');
if (fs.existsSync(metricsFile)) {
try {
const saved = JSON.parse(fs.readFileSync(metricsFile, 'utf-8'));
this.metrics = { ...this.metrics, ...saved };
} catch (e) {
// 忽略损坏的存储文件
}
}
}
// ── 持久化 ──────────────────────────────────────────────
save() {
const metricsFile = path.join(this.config.storagePath, 'metrics.json');
fs.writeFileSync(metricsFile, JSON.stringify(this.metrics, null, 2));
}
// ── 中间件接口：execute ─────────────────────────────────
/**
* Middleware 标准接口
* @param {object} context - 任务上下文
* @param {function} next - 下一个中间件
*/
async execute(context, next) {
const startTime = Date.now();
const skillName = context.skillName || 'unknown';
try {
const result = await next(context);
const latency = Date.now() - startTime;
// 记录成功
this.recordSuccess(context.taskId, skillName, latency);
// 重置连续失败计数
this._consecutiveFailures.set(skillName, 0);
return result;
} catch (error) {
const latency = Date.now() - startTime;
// 记录失败
this.recordFailure(context.taskId, skillName, error, latency);
// 检查是否需要触发优化
const analysis = this.analyzeAndOptimize(skillName);
// 自动调整重试策略
const retryConfig = this.getAdaptiveRetryConfig(skillName);
// 如果需要重试且有重试次数剩余
if (retryConfig.shouldRetry && context.retryCount < retryConfig.maxRetries) {
const delay = this._calculateBackoff(skillName, context.retryCount);
context.retryDelay = delay;
context.retryConfig = retryConfig;
}
throw Object.assign(error, {
metricsAnalysis: analysis,
retryConfig,
});
}
}
// ── 指标记录 ────────────────────────────────────────────
recordSuccess(taskId, skillName, latency) {
this.metrics.totalTasks++;
this.metrics.completedTasks++;
this._recordSkillCall(skillName, { success: true, latency });
this._addTimeSeriesPoint();
this.save();
}
recordFailure(taskId, skillName, error, latency) {
this.metrics.totalTasks++;
this.metrics.failedTasks++;
this._recordSkillCall(skillName, { success: false, latency, error: error?.message });
// 更新连续失败计数
const prev = this._consecutiveFailures.get(skillName) || 0;
this._consecutiveFailures.set(skillName, prev + 1);
this._addTimeSeriesPoint();
this.save();
}
recordPause(taskId) {
this.metrics.pausedTasks++;
this.save();
}
recordCancel(taskId) {
this.metrics.cancelledTasks++;
this.save();
}
// ── 内部：记录技能调用 ──────────────────────────────────
_recordSkillCall(skillName, { success, latency, error }) {
if (!this.metrics.skillCalls[skillName]) {
this.metrics.skillCalls[skillName] = {
total: 0, success: 0, failed: 0, totalLatency: 0,
};
}
const call = this.metrics.skillCalls[skillName];
call.total++;
if (success) {
call.success++;
} else {
call.failed++;
}
call.totalLatency += latency;
}
// ── 内部：添加时间序列点 ────────────────────────────────
_addTimeSeriesPoint() {
const failureRate = this.metrics.totalTasks > 0
? this.metrics.failedTasks / this.metrics.totalTasks
: 0;
const avgLatency = this._getOverallAvgLatency();
this.metrics.timeSeries.push({
timestamp: new Date().toISOString(),
failureRate: Math.round(failureRate * 1000) / 1000,
avgLatency: Math.round(avgLatency),
});
// 保留最近 100 个点
Iif (this.metrics.timeSeries.length > 100) {
this.metrics.timeSeries = this.metrics.timeSeries.slice(-100);
}
}
_getOverallAvgLatency() {
let totalLatency = 0;
let totalCalls = 0;
for (const skill of Object.values(this.metrics.skillCalls)) {
totalLatency += skill.totalLatency;
totalCalls += skill.total;
}
return totalCalls > 0 ? totalLatency / totalCalls : 0;
}
// ── 核心：分析并优化 ────────────────────────────────────
/**
* 分析当前指标，当失败率超过阈值时触发优化建议
* @param {string} skillName - 可选，只分析特定技能
* @returns {object} 分析结果
*/
analyzeAndOptimize(skillName) {
const analysis = {
overall: this._analyzeOverall(),
bySkill: skillName ? this._analyzeSkill(skillName) : null,
suggestions: [],
triggered: false,
timestamp: new Date().toISOString(),
};
// 检查总体失败率
if (analysis.overall.failureRate > this.config.failureRateThreshold) {
analysis.triggered = true;
analysis.suggestions.push({
type: 'HIGH_FAILURE_RATE',
severity: 'warning',
message: `总体失败率 ${analysis.overall.failureRatePercent}% 超过阈值 ${this.config.failureRateThreshold * 100}%`,
action: 'review_failed_tasks',
});
}
// 检查特定技能
if (analysis.bySkill && analysis.bySkill.failureRate > this.config.failureRateThreshold) {
analysis.triggered = true;
analysis.suggestions.push({
type: 'SKILL_FAILURE_RATE',
severity: 'critical',
skillName,
message: `技能 "${skillName}" 失败率 ${analysis.bySkill.failureRatePercent}% 超过阈值`,
action: 'review_skill_config',
});
}
// 检查连续失败
Eif (skillName) {
const consecutive = this._consecutiveFailures.get(skillName) || 0;
if (consecutive >= this.config.consecutiveFailureThreshold) {
analysis.triggered = true;
analysis.suggestions.push({
type: 'CONSECUTIVE_FAILURES',
severity: 'critical',
skillName,
message: `技能 "${skillName}" 连续失败 ${consecutive} 次`,
action: 'increase_retry_backoff',
});
}
}
// 缓存优化建议
if (analysis.suggestions.length > 0) {
this.metrics.suggestions.push(analysis);
if (this.metrics.suggestions.length > this.config.maxSuggestionHistory) {
this.metrics.suggestions = this.metrics.suggestions.slice(-this.config.maxSuggestionHistory);
}
this.save();
}
// 触发回调
if (analysis.triggered && this.config.onOptimizationTriggered) {
this.config.onOptimizationTriggered(analysis);
}
return analysis;
}
_analyzeOverall() {
const total = this.metrics.totalTasks;
const failed = this.metrics.failedTasks;
const failureRate = total > 0 ? failed / total : 0;
return {
totalTasks: total,
completedTasks: this.metrics.completedTasks,
failedTasks: failed,
failureRate: Math.round(failureRate * 1000) / 1000,
failureRatePercent: (failureRate * 100).toFixed(1) + '%',
avgLatency: Math.round(this._getOverallAvgLatency()),
};
}
_analyzeSkill(skillName) {
const call = this.metrics.skillCalls[skillName];
Iif (!call || call.total === 0) {
return { total: 0, failureRate: 0, failureRatePercent: '0.0%' };
}
return {
total: call.total,
success: call.success,
failed: call.failed,
failureRate: Math.round((call.failed / call.total) * 1000) / 1000,
failureRatePercent: ((call.failed / call.total) * 100).toFixed(1) + '%',
avgLatency: Math.round(call.totalLatency / call.total),
};
}
// ── 核心：自适应重试策略 ────────────────────────────────
/**
* 根据历史失败模式自动调整重试策略
* @param {string} skillName - 技能名称
* @returns {object} 调整后的重试配置
*/
getAdaptiveRetryConfig(skillName) {
const call = this.metrics.skillCalls[skillName];
const consecutive = this._consecutiveFailures.get(skillName) || 0;
// 默认配置
let config = { ...this.config.retry };
if (call && call.total > 0) {
const failureRate = call.failed / call.total;
if (failureRate > 0.5) {
// 高失败率：增加最大重试次数，延长退避
config.maxRetries = Math.min(config.maxRetries + 2, 8);
config.backoffMultiplier = Math.min(config.backoffMultiplier + 0.5, 4);
} else Iif (failureRate > 0.3) {
// 中等失败率：适度增加
config.maxRetries = Math.min(config.maxRetries + 1, 6);
} else Iif (failureRate < 0.05 && call.total > 10) {
// 低失败率且有足够样本：减少重试以节省资源
config.maxRetries = Math.max(config.maxRetries - 1, 2);
}
}
// 连续失败：激进退避
if (consecutive >= 3) {
config.backoffMultiplier = Math.min(config.backoffMultiplier + consecutive * 0.5, 4);
config.baseDelay = Math.min(config.baseDelay * consecutive, 10000);
}
// 决定是否应该重试
const shouldRetry = consecutive < config.maxRetries;
return { ...config, shouldRetry, consecutiveFailures: consecutive };
}
// ── 内部：计算退避延迟 ──────────────────────────────────
_calculateBackoff(skillName, retryCount) {
const config = this.getAdaptiveRetryConfig(skillName);
const delay = config.baseDelay * Math.pow(config.backoffMultiplier, retryCount);
// 添加随机抖动避免 thundering herd
const jitter = Math.random() * delay * 0.1;
return Math.min(delay + jitter, config.maxDelay);
}
// ── 查询接口 ────────────────────────────────────────────
/**
* 获取指标报告
* @returns {object} 完整指标报告
*/
getReport() {
return {
summary: this._analyzeOverall(),
skills: Object.keys(this.metrics.skillCalls).reduce((acc, name) => {
acc[name] = this._analyzeSkill(name);
return acc;
}, {}),
recentSuggestions: this.metrics.suggestions.slice(-5),
timestamp: new Date().toISOString(),
};
}
/**
* 获取趋势数据
* @param {number} limit - 返回最近 N 个点
* @returns {Array} 时间序列数据
*/
getTrend(limit = 20) {
return this.metrics.timeSeries.slice(-limit);
}
/**
* 重置指标（用于测试或新版本部署）
*/
reset() {
this.metrics = {
totalTasks: 0, completedTasks: 0, failedTasks: 0,
pausedTasks: 0, cancelledTasks: 0,
skillCalls: {}, timeSeries: [], suggestions: [],
};
this._consecutiveFailures.clear();
this._retryStrategies.clear();
this.save();
}
}
module.exports = { MetricsMiddleware, DEFAULT_CONFIG };
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