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@zenithcore/core

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Core functionality for ZenithKernel framework

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/** * Enhanced OST Compression System for Zenith Framework * * Implements advanced features from archipelagoui: * - Streaming support * - Adaptive window sizing * - Parallel processing * - Memory optimization * - ZSTD integration */ import { ZSTDCompress as zstdCompress, ZSTDDecompress as zstdDecompress } from 'simple-zstd'; export interface EnhancedOSTConfig { compressionMethod: 'huffman' | 'zstd' | 'brotli' | 'adaptive'; compressionLevel: number; windowSize: number; adaptiveWindowSizing: boolean; parallelProcessing: boolean; maxWorkers: number; streamingEnabled: boolean; chunkSize: number; memoryOptimization: boolean; maxMemoryUsage: number; // in MB } export interface OSTSegment { id: string; data: Uint8Array; hash: string; compressionRatio: number; originalSize: number; compressedSize: number; } export interface CompressionMetrics { totalTime: number; compressionRatio: number; throughput: number; // MB/s memoryUsage: number; segmentCount: number; } const DEFAULT_ENHANCED_CONFIG: EnhancedOSTConfig = { compressionMethod: 'adaptive', compressionLevel: 6, windowSize: 32768, adaptiveWindowSizing: true, parallelProcessing: true, maxWorkers: 4, streamingEnabled: true, chunkSize: 65536, memoryOptimization: true, maxMemoryUsage: 256 }; export class EnhancedOSTCompression { private config: EnhancedOSTConfig; private workerPool: Worker[] = []; private compressionMetrics: CompressionMetrics = { totalTime: 0, compressionRatio: 0, throughput: 0, memoryUsage: 0, segmentCount: 0 }; constructor(config: Partial<EnhancedOSTConfig> = {}) { this.config = { ...DEFAULT_ENHANCED_CONFIG, ...config }; if (this.config.parallelProcessing) { this.initializeWorkerPool(); } } /** * Enhanced compression with streaming and parallel processing */ async compressStream(data: Uint8Array): Promise<{ segments: OSTSegment[]; metadata: { config: EnhancedOSTConfig; metrics: CompressionMetrics; totalSize: number; compressedSize: number; }; }> { const startTime = performance.now(); const originalSize = data.length; // Step 1: Adaptive chunking const chunks = this.adaptiveChunking(data); // Step 2: Parallel compression const segments = this.config.parallelProcessing ? await this.compressSegmentsConcurrently(chunks) : await this.compressSegmentsSequentially(chunks); // Step 3: Calculate metrics const endTime = performance.now(); const totalCompressedSize = segments.reduce((acc, seg) => acc + seg.compressedSize, 0); this.compressionMetrics = { totalTime: endTime - startTime, compressionRatio: originalSize / totalCompressedSize, throughput: (originalSize / 1024 / 1024) / ((endTime - startTime) / 1000), memoryUsage: this.getCurrentMemoryUsage(), segmentCount: segments.length }; return { segments, metadata: { config: this.config, metrics: this.compressionMetrics, totalSize: originalSize, compressedSize: totalCompressedSize } }; } /** * Enhanced decompression with streaming support */ async decompressStream(segments: OSTSegment[]): Promise<Uint8Array> { const startTime = performance.now(); // Parallel decompression if enabled const decompressedChunks = this.config.parallelProcessing ? await this.decompressSegmentsConcurrently(segments) : await this.decompressSegmentsSequentially(segments); // Merge chunks back into original data const totalSize = decompressedChunks.reduce((acc, chunk) => acc + chunk.length, 0); const result = new Uint8Array(totalSize); let offset = 0; for (const chunk of decompressedChunks) { result.set(chunk, offset); offset += chunk.length; } const endTime = performance.now(); console.debug(`Decompression completed in ${endTime - startTime}ms`); return result; } /** * Adaptive chunking based on content analysis */ private adaptiveChunking(data: Uint8Array): Uint8Array[] { if (!this.config.adaptiveWindowSizing) { return this.fixedChunking(data); } const chunks: Uint8Array[] = []; let offset = 0; while (offset < data.length) { const windowSize = this.calculateOptimalWindowSize(data, offset); const chunkEnd = Math.min(offset + windowSize, data.length); chunks.push(data.slice(offset, chunkEnd)); offset = chunkEnd; } return chunks; } /** * Fixed-size chunking for consistent performance */ private fixedChunking(data: Uint8Array): Uint8Array[] { const chunks: Uint8Array[] = []; const chunkSize = this.config.chunkSize; for (let i = 0; i < data.length; i += chunkSize) { chunks.push(data.slice(i, i + chunkSize)); } return chunks; } /** * Calculate optimal window size based on content entropy */ private calculateOptimalWindowSize(data: Uint8Array, offset: number): number { const baseSize = this.config.windowSize; const sampleSize = Math.min(1024, data.length - offset); const sample = data.slice(offset, offset + sampleSize); // Calculate entropy const entropy = this.calculateEntropy(sample); // Adjust window size based on entropy // Higher entropy = smaller windows for better compression // Lower entropy = larger windows for better performance const entropyFactor = 1 - (entropy / 8); // Normalize to 0-1 const adjustedSize = Math.floor(baseSize * (0.5 + entropyFactor)); return Math.max(4096, Math.min(adjustedSize, 131072)); // 4KB to 128KB range } /** * Calculate Shannon entropy of data */ private calculateEntropy(data: Uint8Array): number { const frequencies = new Array(256).fill(0); for (const byte of data) { frequencies[byte]++; } let entropy = 0; const length = data.length; for (const freq of frequencies) { if (freq > 0) { const probability = freq / length; entropy -= probability * Math.log2(probability); } } return entropy; } /** * Compress segments concurrently using worker pool */ private async compressSegmentsConcurrently(chunks: Uint8Array[]): Promise<OSTSegment[]> { if (this.workerPool.length === 0) { return this.compressSegmentsSequentially(chunks); } const segments: OSTSegment[] = []; const promises: Promise<OSTSegment>[] = []; for (let i = 0; i < chunks.length; i++) { const worker = this.workerPool[i % this.workerPool.length]; promises.push(this.compressChunkWithWorker(chunks[i], i.toString(), worker)); } const results = await Promise.all(promises); return results; } /** * Compress segments sequentially */ private async compressSegmentsSequentially(chunks: Uint8Array[]): Promise<OSTSegment[]> { const segments: OSTSegment[] = []; for (let i = 0; i < chunks.length; i++) { const segment = await this.compressChunk(chunks[i], i.toString()); segments.push(segment); } return segments; } /** * Compress a single chunk */ private async compressChunk(data: Uint8Array, id: string): Promise<OSTSegment> { const originalSize = data.length; let compressedData: Uint8Array; // Choose compression method const method = this.config.compressionMethod === 'adaptive' ? this.selectOptimalCompressionMethod(data) : this.config.compressionMethod; switch (method) { case 'zstd': compressedData = await zstdCompress(data, this.config.compressionLevel); break; case 'huffman': compressedData = await this.huffmanCompress(data); break; case 'brotli': compressedData = await this.brotliCompress(data); break; default: compressedData = data; } const hash = await this.calculateHash(data); const compressionRatio = originalSize / compressedData.length; return { id, data: compressedData, hash, compressionRatio, originalSize, compressedSize: compressedData.length }; } /** * Select optimal compression method based on data characteristics */ private selectOptimalCompressionMethod(data: Uint8Array): 'huffman' | 'zstd' | 'brotli' { const entropy = this.calculateEntropy(data.slice(0, Math.min(1024, data.length))); // High entropy data (> 7.5) - use ZSTD for speed if (entropy > 7.5) return 'zstd'; // Medium entropy data (4-7.5) - use Brotli for balance if (entropy > 4) return 'brotli'; // Low entropy data (< 4) - use Huffman for maximum compression return 'huffman'; } /** * Initialize worker pool for parallel processing */ private initializeWorkerPool(): void { // Worker pool implementation would go here // For now, we'll use sequential processing console.debug('Worker pool initialization skipped - using sequential processing'); } /** * Compress chunk using worker */ private async compressChunkWithWorker(data: Uint8Array, id: string, worker: Worker): Promise<OSTSegment> { // Worker-based compression would go here // For now, fall back to direct compression return this.compressChunk(data, id); } /** * Decompress segments concurrently */ private async decompressSegmentsConcurrently(segments: OSTSegment[]): Promise<Uint8Array[]> { const promises = segments.map(segment => this.decompressSegment(segment)); return Promise.all(promises); } /** * Decompress segments sequentially */ private async decompressSegmentsSequentially(segments: OSTSegment[]): Promise<Uint8Array[]> { const results: Uint8Array[] = []; for (const segment of segments) { results.push(await this.decompressSegment(segment)); } return results; } /** * Decompress a single segment */ private async decompressSegment(segment: OSTSegment): Promise<Uint8Array> { // Implementation would determine compression method from segment metadata // For now, assume ZSTD return zstdDecompress(segment.data); } /** * Placeholder implementations for compression methods */ private async huffmanCompress(data: Uint8Array): Promise<Uint8Array> { // Huffman compression implementation return data; // Placeholder } private async brotliCompress(data: Uint8Array): Promise<Uint8Array> { // Brotli compression implementation return data; // Placeholder } /** * Calculate hash of data */ private async calculateHash(data: Uint8Array): Promise<string> { const hashBuffer = await crypto.subtle.digest('SHA-256', data); return Array.from(new Uint8Array(hashBuffer)) .map(b => b.toString(16).padStart(2, '0')) .join(''); } /** * Get current memory usage (placeholder) */ private getCurrentMemoryUsage(): number { // Implementation would use process.memoryUsage() in Node.js return 0; } /** * Get compression metrics */ getMetrics(): CompressionMetrics { return { ...this.compressionMetrics }; } /** * Cleanup resources */ dispose(): void { this.workerPool.forEach(worker => worker.terminate()); this.workerPool = []; } }