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Extract code patterns into a knowledge base for AI coding assistants
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TypeScript
/**
* CouplingAnalyzer — 模块耦合分析
*
* 三边融合 (import + call + dataFlow) 构建加权依赖图，
* 使用 Tarjan SCC 检测循环依赖，计算 fanIn/fanOut。
*
* @module CouplingAnalyzer
*/
import type { CodeEntityRepositoryImpl } from '../../repository/code/CodeEntityRepository.js';
import type { KnowledgeEdgeRepositoryImpl } from '../../repository/knowledge/KnowledgeEdgeRepository.js';
import type { CyclicDependency, Edge } from './PanoramaTypes.js';
export interface CouplingMetrics {
fanIn: number;
fanOut: number;
}
export interface ExternalDepMetrics {
name: string;
fanIn: number;
/** 依赖此外部库的本地模块列表 */
dependedBy: string[];
}
export interface CouplingResult {
cycles: CyclicDependency[];
metrics: Map<string, CouplingMetrics>;
edges: Edge[];
/** 外部依赖 fan-in 统计（按 fan-in 降序排列） */
externalDeps: ExternalDepMetrics[];
}
export declare class CouplingAnalyzer {
#private;
constructor(edgeRepo: KnowledgeEdgeRepositoryImpl, entityRepo: CodeEntityRepositoryImpl, projectRoot: string);
/**
* 分析模块间耦合关系
* @param moduleFiles - Map<moduleName, filePaths[]>
* @param externalModules - 外部模块名集合（无源码但参与依赖图）
*/
analyze(moduleFiles: Map<string, string[]>, externalModules?: Set<string>): Promise<CouplingResult>;
}