feat: 首次推送到Gitea - 完整项目代码 + 安全加固 + 知识库

2026-10-02 18:52:49 +08:00
parent b44601bb66
commit 8205ae709c
1185 changed files with 49841 additions and 12802 deletions
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+// =============================================================================
+//  Reply Quality Utilities
+//  共享工具：Bot 回复质量检查、反模式检测、个性化风味
+// =============================================================================
+
+import { tokenize } from "./chinese-text.mjs";
+
+// 最小上下文长度（低于此长度不做关联度评分）
+export const MIN_CONTEXT_LENGTH = 20;
+
+// 检查回复与上下文的相关度
+// 返回 { valid, score } – valid 为 true 表示关联度达标，score 为 0-100 的量化评分
+export function validateContextRelevance(reply, context) {
+  if (!context || context.length < MIN_CONTEXT_LENGTH) {
+    return { valid: true, score: 70 };
+  }
+
+  const replyGrams = tokenize(reply);
+  if (replyGrams.length === 0) {
+    return { valid: false, score: 0 };
+  }
+
+  const contextSet = new Set(tokenize(context));
+  const matched = replyGrams.filter(g => contextSet.has(g)).length;
+  const relevance = matched / replyGrams.length;
+
+  return {
+    valid: relevance >= 0.05,
+    score: Math.min(100, Math.round(relevance * 100)),
+  };
+}
+
+// 反模式检测 – 识别过于通用/模板化的 AI 回复
+export function detectBadPatterns(text) {
+  const patterns = [
+    /很高兴[能为可以]您/,
+    /必须[地得]说/,
+    /值得[一关]注/,
+    /这是个好(问题|话题)/,
+    /希望[能对]你[有们]帮助/,
+    /感谢[您的你]分享/,
+    /非常有[见解启]发/,
+  ];
+
+  const matches = patterns.filter(p => p.test(text));
+
+  return {
+    isGeneric: matches.length >= 3,
+    matchCount: matches.length,
+    patterns: patterns.filter(p => p.test(text)),
+  };
+}
+
+// 人格风味前缀 – 给回复添加个性化开场白
+const PERSONALITY_PREFIXES = {
+  pragmatic: ["实际测试下来", "根据我的经验", "试过之后发现"],
+  enthusiastic: ["太棒了！", "超赞！", "强烈推荐！"],
+  analytical: ["从数据来看", "分析之后发现", "对比了一下数据"],
+  cautious: ["客观来说", "理性分析一下", "需要说明的是"],
+};
+
+export function addPersonalityFlavor(text, personaType = "pragmatic") {
+  const prefixes =
+    PERSONALITY_PREFIXES[personaType] || PERSONALITY_PREFIXES.pragmatic;
+
+  // 检查是否已包含任何前缀风味，避免重复添加
+  const allPrefixes = Object.values(PERSONALITY_PREFIXES).flat();
+  if (allPrefixes.some(p => text.startsWith(p))) {
+    return text;
+  }
+
+  const prefix = prefixes[Math.floor(Math.random() * prefixes.length)];
+  return `${prefix}，${text}`;
+}
+
+// 回复多样性指数 – 检测回复中是否包含重复短语
+export function checkDiversityScore(text) {
+  if (text.length < 50) return 0.8;
+
+  // 将文本分成句子
+  const sentences = text.split(/[。！？\n]/).filter(Boolean);
+  if (sentences.length < 2) return 0.6;
+
+  // 检查开头词的多样性
+  const sentenceStarts = sentences
+    .map(s => s.trim().substring(0, 2))
+    .filter(Boolean);
+  const uniqueStarts = new Set(sentenceStarts);
+  const startVariety = uniqueStarts.size / sentenceStarts.length;
+
+  // 检查句长分布
+  const lengths = sentences.map(s => s.length);
+  const avgLen = lengths.reduce((a, b) => a + b, 0) / lengths.length;
+  const variance =
+    lengths.reduce((sum, l) => sum + (l - avgLen) ** 2, 0) / lengths.length;
+
+  // 句子开头变化率 + 句长变化率
+  const lengthScore = Math.min(1, variance / 1000);
+  return Math.round((startVariety * 0.6 + lengthScore * 0.4) * 100) / 100;
+}
+
+// 获取质量摘要统计
+export function getQualityMetrics(reply, context, style) {
+  const { score: relevance } = validateContextRelevance(reply, context);
+  const { isGeneric, matchCount } = detectBadPatterns(reply);
+  const diversity = checkDiversityScore(reply);
+
+  return {
+    relevance,
+    isGeneric,
+    patternMatches: matchCount,
+    diversity,
+    style,
+  };
+}