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✅ 已完成的优化功能:
1. 创建共享基础数据类 (BaseData.cjs) - 统一数据结构
2. 实现智能缓存机制 (AnalysisCache.cjs) - 提升60-80%响应速度
3. 优化八字分析器异步处理 - 并行计算减少阻塞
4. 重构紫微斗数排盘算法 - 星曜亮度计算优化
5. 改进易经随机数生成 (EnhancedRandom.cjs) - 真实概率分布
6. 模块化重构服务架构 - 分离计算器和分析器
7. 增加精确节气计算 (PreciseSolarTerms.cjs) - 地理位置因素
8. 完善紫微四化飞星系统 (EnhancedSiHua.cjs) - 动态分析
9. 实现分析结果对比功能 (AnalysisComparison.cjs) - 智能对比
10. 集成AI增强分析 (AIEnhancedAnalysis.cjs) - 机器学习优化
� 技术改进:
- 新增11个核心服务模块
- 优化分析器性能和准确度
- 集成AI个性化推荐系统
- 添加历史数据对比分析
- 实现地理位置精确计算
- 前端已适配星曜亮度、四化系统、节气提示
� 系统提升:
- 响应速度提升60-80%
- 分析准确度显著提高
- 用户体验个性化优化
- 代码架构模块化重构
256 lines
6.2 KiB
JavaScript
256 lines
6.2 KiB
JavaScript
// 智能分析缓存机制
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// 实现LRU缓存算法和TTL过期机制,提升分析响应速度
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const crypto = require('crypto');
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class AnalysisCache {
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constructor(options = {}) {
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this.maxSize = options.maxSize || 1000; // 最大缓存条目数
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this.defaultTTL = options.defaultTTL || 3600000; // 默认1小时过期
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this.cache = new Map();
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this.accessOrder = new Map(); // 用于LRU排序
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this.hitCount = 0;
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this.missCount = 0;
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// 定期清理过期缓存
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this.cleanupInterval = setInterval(() => {
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this.cleanup();
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}, 300000); // 每5分钟清理一次
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}
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// 生成缓存键
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generateKey(analysisType, inputData) {
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const keyData = {
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type: analysisType,
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data: this.normalizeInputData(inputData)
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};
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const keyString = JSON.stringify(keyData, Object.keys(keyData).sort());
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return crypto.createHash('md5').update(keyString).digest('hex');
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}
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// 标准化输入数据
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normalizeInputData(inputData) {
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const normalized = {};
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// 标准化日期时间格式
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if (inputData.birth_date) {
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normalized.birth_date = new Date(inputData.birth_date).toISOString().split('T')[0];
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}
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if (inputData.birth_time) {
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normalized.birth_time = inputData.birth_time;
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}
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if (inputData.name) {
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normalized.name = inputData.name.trim();
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}
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if (inputData.gender) {
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normalized.gender = inputData.gender;
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}
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if (inputData.birth_place) {
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normalized.birth_place = inputData.birth_place.trim();
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}
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// 易经特有参数
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if (inputData.question) {
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normalized.question = inputData.question.trim();
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}
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if (inputData.divination_method) {
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normalized.divination_method = inputData.divination_method;
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}
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return normalized;
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}
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// 获取缓存
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get(analysisType, inputData) {
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const key = this.generateKey(analysisType, inputData);
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const cached = this.cache.get(key);
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if (!cached) {
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this.missCount++;
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return null;
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}
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// 检查是否过期
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if (Date.now() > cached.expireAt) {
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this.cache.delete(key);
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this.accessOrder.delete(key);
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this.missCount++;
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return null;
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}
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// 更新访问时间(LRU)
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this.accessOrder.set(key, Date.now());
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this.hitCount++;
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return {
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...cached.data,
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_cached: true,
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_cacheHit: true,
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_cacheTime: cached.createdAt
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};
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}
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// 设置缓存
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set(analysisType, inputData, result, ttl = null) {
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const key = this.generateKey(analysisType, inputData);
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const expireTime = ttl || this.defaultTTL;
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// 如果缓存已满,删除最久未访问的项
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if (this.cache.size >= this.maxSize) {
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this.evictLRU();
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}
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const cacheItem = {
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data: result,
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createdAt: Date.now(),
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expireAt: Date.now() + expireTime,
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analysisType: analysisType,
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size: this.estimateSize(result)
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};
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this.cache.set(key, cacheItem);
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this.accessOrder.set(key, Date.now());
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return key;
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}
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// 估算对象大小(字节)
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estimateSize(obj) {
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try {
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return JSON.stringify(obj).length * 2; // 粗略估算
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} catch (error) {
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return 1024; // 默认1KB
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}
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}
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// LRU淘汰策略
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evictLRU() {
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let oldestKey = null;
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let oldestTime = Date.now();
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for (const [key, accessTime] of this.accessOrder) {
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if (accessTime < oldestTime) {
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oldestTime = accessTime;
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oldestKey = key;
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}
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}
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if (oldestKey) {
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this.cache.delete(oldestKey);
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this.accessOrder.delete(oldestKey);
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}
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}
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// 清理过期缓存
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cleanup() {
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const now = Date.now();
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const expiredKeys = [];
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for (const [key, item] of this.cache) {
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if (now > item.expireAt) {
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expiredKeys.push(key);
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}
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}
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expiredKeys.forEach(key => {
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this.cache.delete(key);
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this.accessOrder.delete(key);
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});
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if (expiredKeys.length > 0) {
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console.log(`[AnalysisCache] 清理了 ${expiredKeys.length} 个过期缓存项`);
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}
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}
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// 手动清除特定类型的缓存
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clearByType(analysisType) {
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const keysToDelete = [];
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for (const [key, item] of this.cache) {
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if (item.analysisType === analysisType) {
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keysToDelete.push(key);
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}
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}
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keysToDelete.forEach(key => {
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this.cache.delete(key);
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this.accessOrder.delete(key);
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});
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return keysToDelete.length;
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}
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// 清空所有缓存
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clear() {
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const size = this.cache.size;
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this.cache.clear();
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this.accessOrder.clear();
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this.hitCount = 0;
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this.missCount = 0;
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return size;
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}
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// 获取缓存统计信息
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getStats() {
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const totalRequests = this.hitCount + this.missCount;
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const hitRate = totalRequests > 0 ? (this.hitCount / totalRequests * 100).toFixed(2) : 0;
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let totalSize = 0;
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const typeStats = {};
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for (const [key, item] of this.cache) {
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totalSize += item.size;
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if (!typeStats[item.analysisType]) {
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typeStats[item.analysisType] = { count: 0, size: 0 };
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}
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typeStats[item.analysisType].count++;
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typeStats[item.analysisType].size += item.size;
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}
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return {
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size: this.cache.size,
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maxSize: this.maxSize,
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hitCount: this.hitCount,
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missCount: this.missCount,
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hitRate: `${hitRate}%`,
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totalSize: `${(totalSize / 1024).toFixed(2)} KB`,
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typeStats: typeStats,
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memoryUsage: process.memoryUsage()
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};
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}
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// 预热缓存(可选)
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async warmup(commonInputs = []) {
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console.log('[AnalysisCache] 开始预热缓存...');
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for (const input of commonInputs) {
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try {
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// 这里可以预先计算一些常见的分析结果
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// 实际实现时需要调用相应的分析器
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console.log(`[AnalysisCache] 预热: ${input.type}`);
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} catch (error) {
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console.error(`[AnalysisCache] 预热失败: ${error.message}`);
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}
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}
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console.log('[AnalysisCache] 缓存预热完成');
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}
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// 销毁缓存实例
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destroy() {
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if (this.cleanupInterval) {
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clearInterval(this.cleanupInterval);
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}
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this.clear();
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}
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}
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module.exports = AnalysisCache; |