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Extract code patterns into a knowledge base for AI coding assistants
80 lines (79 loc) • 2.72 kB
JavaScript
/**
* TechStackProfiler — 技术栈画像聚合
*
* 根据外部依赖名称自动分类，生成项目技术栈画像。
* 使用已知库名映射表 + 关键词启发式进行分类。
*
* @module TechStackProfiler
*/
import { LanguageProfiles } from '#shared/LanguageProfiles.js';
/* ═══ TechStackProfiler ═══════════════════════════════════ */
/** Fan-in 阈值：高于此值视为关键依赖热点 */
const HOTSPOT_THRESHOLD = 3;
/**
* 对外部依赖进行分类，生成技术栈画像
*/
export function profileTechStack(externalDeps) {
if (externalDeps.length === 0) {
return { categories: [], hotspots: [], totalExternalDeps: 0 };
}
// 1. 分类每个外部依赖
const categoryMap = new Map();
for (const dep of externalDeps) {
const category = classifyDependency(dep.name);
dep.category = category;
if (!categoryMap.has(category)) {
categoryMap.set(category, []);
}
categoryMap.get(category).push({
name: dep.name,
fanIn: dep.fanIn,
version: dep.version,
});
}
// 2. 按分类排序（每个分类内按 fan-in 降序，分类间按依赖数降序）
const categories = [...categoryMap.entries()]
.map(([name, deps]) => ({
name,
deps: deps.sort((a, b) => b.fanIn - a.fanIn),
}))
.sort((a, b) => b.deps.length - a.deps.length);
// 3. 提取热点（fan-in ≥ 阈值）
const hotspots = externalDeps
.filter((d) => d.fanIn >= HOTSPOT_THRESHOLD)
.map((d) => ({ name: d.name, fanIn: d.fanIn, dependedBy: d.dependedBy }))
.sort((a, b) => b.fanIn - a.fanIn);
return {
categories,
hotspots,
totalExternalDeps: externalDeps.length,
};
}
/**
* 分类单个外部依赖
*/
function classifyDependency(name) {
const knownLibraries = LanguageProfiles.knownLibraries;
// 标准化名称：移除前缀、转小写
const normalized = name
.replace(/^(BDMV|BDP|FMT|BD|MTL|Bai|Ali|TX|TT)/, '')
.toLowerCase()
.replace(/[-_]/g, '');
// 1. 精确匹配已知库
if (knownLibraries[normalized]) {
return knownLibraries[normalized];
}
// 尝试原始名称小写
const rawLower = name.toLowerCase().replace(/[-_]/g, '');
if (knownLibraries[rawLower]) {
return knownLibraries[rawLower];
}
// 2. 关键词启发式
for (const [pattern, category] of LanguageProfiles.keywordCategories) {
if (pattern.test(name)) {
return category;
}
}
// 3. 默认分类
return 'Other';
}