@bobmatnyc/ai-code-review/dist/analysis/semantic/index.d.ts

A TypeScript-based tool for automated code reviews using AI models from Google Gemini, Anthropic Claude, and OpenRouter

/**
 * @fileoverview Semantic analysis integration layer
 *
 * This module provides the main entry point for TreeSitter-based semantic
 * code analysis, exposing a unified API for intelligent chunking and
 * context-aware code review processing.
 */
export * from './types';
import { SemanticAnalysisResult, ChunkingRecommendation } from './types';
export { SemanticAnalyzer, semanticAnalyzer, analyzeCodeSemantics } from './SemanticAnalyzer';
export { ChunkGenerator, chunkGenerator, generateSemanticChunks } from './ChunkGenerator';
export { SemanticChunkingIntegration } from './SemanticChunkingIntegration';
export { AiGuidedChunking, aiGuidedChunking } from './AiGuidedChunking';
import { SemanticAnalysisConfig } from './types';
/**
 * Configuration for the integrated semantic analysis system
 */
export interface SemanticAnalysisSystemConfig {
    /** Semantic analyzer configuration */
    analyzer?: Partial<SemanticAnalysisConfig>;
    /** Chunk generator configuration */
    chunkGenerator?: {
        maxChunkSize?: number;
        minChunkSize?: number;
        includeContext?: boolean;
        maxContextDeclarations?: number;
        tokensPerLine?: number;
        highComplexityThreshold?: number;
        mediumComplexityThreshold?: number;
    };
    /** Whether to enable fallback to line-based chunking */
    enableFallback?: boolean;
    /** Whether to cache analysis results */
    enableCaching?: boolean;
}
/**
 * Extended result that includes chunking information
 */
export interface SemanticAnalysisSystemResult extends SemanticAnalysisResult {
    chunking?: ChunkingRecommendation;
    metadata?: {
        filePath: string;
        language: string;
        reviewType: string;
        analyzedAt: Date;
        fallbackReason?: string;
    };
}
/**
 * Integrated semantic analysis system
 */
export declare class SemanticAnalysisSystem {
    private analyzer;
    private chunkGenerator;
    private config;
    private cache;
    constructor(config?: SemanticAnalysisSystemConfig);
    /**
     * Perform complete semantic analysis and generate intelligent chunks
     */
    analyzeAndChunk(content: string, filePath: string, options?: {
        language?: string;
        reviewType?: string;
        useCache?: boolean;
    }): Promise<SemanticAnalysisSystemResult>;
    /**
     * Generate fallback result when semantic analysis fails
     */
    private generateFallbackResult;
    /**
     * Get default review focus for a review type
     */
    private getDefaultReviewFocus;
    /**
     * Generate cache key for analysis results
     */
    private generateCacheKey;
    /**
     * Simple hash function for cache keys
     */
    private simpleHash;
    /**
     * Clear analysis cache
     */
    clearCache(): void;
    /**
     * Get cache statistics
     */
    getCacheStats(): {
        size: number;
        enabled: boolean;
    };
    /**
     * Update system configuration
     */
    updateConfig(config: Partial<SemanticAnalysisSystemConfig>): void;
    /**
     * Get supported languages
     */
    getSupportedLanguages(): string[];
    /**
     * Check if a language is supported
     */
    isLanguageSupported(language: string): boolean;
}
/**
 * Default semantic analysis system instance
 */
export declare const semanticAnalysisSystem: SemanticAnalysisSystem;
/**
 * Convenience function for complete semantic analysis and chunking
 */
export declare function analyzeAndChunkCode(content: string, filePath: string, options?: {
    language?: string;
    reviewType?: string;
    useCache?: boolean;
}): Promise<SemanticAnalysisSystemResult>;
/**
 * Convenience function to check if semantic analysis is available for a file
 */
export declare function canAnalyzeFile(filePath: string): boolean;
/**
 * Convenience function to detect language from file path
 */
export declare function detectLanguageFromPath(filePath: string): string | null;