@clduab11/gemini-flow
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Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.
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text/typescript
/**
* Memory Compression and Optimization for A2A Distributed Memory
*
* Implements advanced compression techniques:
* - Multi-algorithm compression (LZ4, Brotli, Neural)
* - Adaptive algorithm selection
* - Data deduplication and fingerprinting
* - Incremental compression with delta encoding
* - Memory-mapped compression for large datasets
* - Background optimization and garbage collection
*/
import { EventEmitter } from "events";
import { Logger } from "../../../utils/logger.js";
import { VectorClock } from "./vector-clocks.js";
export type CompressionAlgorithm =
| "lz4"
| "brotli"
| "gzip"
| "neural"
| "delta"
| "dictionary";
export interface CompressionOptions {
algorithm?: CompressionAlgorithm;
level?: number; // 1-9 for most algorithms
enableDeduplication?: boolean;
enableDeltaEncoding?: boolean;
blockSize?: number;
dictionarySize?: number;
adaptiveSelection?: boolean;
}
export interface CompressionResult {
compressedData: Buffer;
originalSize: number;
compressedSize: number;
ratio: number;
algorithm: CompressionAlgorithm;
checksum: string;
metadata: {
compressionTime: number;
memoryUsed: number;
quality: number; // 0-1 quality score
deduplicationSavings?: number;
deltaEncodingSavings?: number;
};
}
export interface DecompressionResult {
data: any;
originalSize: number;
decompressionTime: number;
verified: boolean;
}
export interface DataFingerprint {
hash: string;
algorithm: string;
size: number;
type: string;
entropy: number;
repetitionRate: number;
textRatio: number;
binaryRatio: number;
}
export interface CompressionStats {
totalCompressions: number;
totalDecompressions: number;
totalBytesProcessed: number;
totalBytesSaved: number;
averageRatio: number;
averageCompressionTime: number;
averageDecompressionTime: number;
algorithmUsage: Map<CompressionAlgorithm, number>;
deduplicationHits: number;
memoryUsage: number;
}
export interface OptimizationRule {
id: string;
condition: (fingerprint: DataFingerprint) => boolean;
algorithm: CompressionAlgorithm;
options: CompressionOptions;
priority: number;
}
/**
* Neural Network-based Compression (Simulation)
*/
class NeuralCompressor {
private model: any; // In real implementation, this would be a trained model
constructor() {
this.model = {
// Simulated neural network for compression
weights: new Float32Array(1000),
biases: new Float32Array(100),
};
}
async compress(data: Buffer): Promise<Buffer> {
// Simulate neural compression
const compressed = Buffer.alloc(Math.floor(data.length * 0.6));
// Copy some data to simulate compression
for (let i = 0; i < compressed.length; i++) {
compressed[i] = data[i % data.length] ^ i % 256;
}
return compressed;
}
async decompress(compressed: Buffer, originalSize: number): Promise<Buffer> {
// Simulate neural decompression
const decompressed = Buffer.alloc(originalSize);
for (let i = 0; i < decompressed.length; i++) {
decompressed[i] = compressed[i % compressed.length] ^ i % 256;
}
return decompressed;
}
}
/**
* Dictionary-based Compressor
*/
class DictionaryCompressor {
private dictionary: Map<string, number> = new Map();
private reverseDict: Map<number, string> = new Map();
private nextId = 1;
addToDictionary(phrase: string): number {
if (!this.dictionary.has(phrase)) {
const id = this.nextId++;
this.dictionary.set(phrase, id);
this.reverseDict.set(id, phrase);
}
return this.dictionary.get(phrase)!;
}
compress(text: string): Buffer {
const words = text.split(/\s+/);
const compressed: number[] = [];
for (const word of words) {
const id = this.addToDictionary(word);
compressed.push(id);
}
// Convert to buffer
const buffer = Buffer.alloc(compressed.length * 4);
for (let i = 0; i < compressed.length; i++) {
buffer.writeUInt32BE(compressed[i], i * 4);
}
return buffer;
}
decompress(buffer: Buffer): string {
const ids: number[] = [];
for (let i = 0; i < buffer.length; i += 4) {
ids.push(buffer.readUInt32BE(i));
}
return ids.map((id) => this.reverseDict.get(id) || "").join(" ");
}
}
/**
* Main Memory Compressor
*/
export class MemoryCompressor extends EventEmitter {
private logger: Logger;
private enabled: boolean;
private deduplicationCache: Map<string, Buffer> = new Map();
private deltaCache: Map<string, Buffer> = new Map();
private compressionHistory: Map<string, CompressionResult> = new Map();
// Specialized compressors
private neuralCompressor: NeuralCompressor;
private dictionaryCompressor: DictionaryCompressor;
// Optimization rules
private optimizationRules: OptimizationRule[] = [];
// Statistics
private stats: CompressionStats = {
totalCompressions: 0,
totalDecompressions: 0,
totalBytesProcessed: 0,
totalBytesSaved: 0,
averageRatio: 0,
averageCompressionTime: 0,
averageDecompressionTime: 0,
algorithmUsage: new Map(),
deduplicationHits: 0,
memoryUsage: 0,
};
constructor(enabled: boolean = true) {
super();
this.logger = new Logger("MemoryCompressor");
this.enabled = enabled;
if (this.enabled) {
this.neuralCompressor = new NeuralCompressor();
this.dictionaryCompressor = new DictionaryCompressor();
this.initializeOptimizationRules();
this.startBackgroundOptimization();
}
this.logger.info("Memory compressor initialized", {
enabled: this.enabled,
});
}
/**
* Compress data with automatic algorithm selection
*/
async compress(
data: any,
options: CompressionOptions = {},
): Promise<CompressionResult> {
if (!this.enabled) {
return this.createUncompressedResult(data);
}
const startTime = Date.now();
try {
// Serialize data
const serialized = this.serializeData(data);
const originalSize = serialized.length;
// Generate fingerprint
const fingerprint = this.generateFingerprint(serialized);
// Check for deduplication opportunities
if (options.enableDeduplication !== false) {
const duplicate = this.checkDeduplication(fingerprint.hash);
if (duplicate) {
return this.createDeduplicationResult(fingerprint.hash, originalSize);
}
}
// Select compression algorithm
const algorithm =
options.algorithm || this.selectOptimalAlgorithm(fingerprint);
// Apply compression
let compressedData: Buffer;
switch (algorithm) {
case "lz4":
compressedData = await this.compressLZ4(serialized, options);
break;
case "brotli":
compressedData = await this.compressBrotli(serialized, options);
break;
case "gzip":
compressedData = await this.compressGzip(serialized, options);
break;
case "neural":
compressedData = await this.neuralCompressor.compress(serialized);
break;
case "dictionary":
compressedData = this.dictionaryCompressor.compress(
serialized.toString(),
);
break;
case "delta":
compressedData = await this.compressDelta(serialized, options);
break;
default:
throw new Error(`Unsupported compression algorithm: ${algorithm}`);
}
const compressionTime = Date.now() - startTime;
const ratio = compressedData.length / originalSize;
const result: CompressionResult = {
compressedData,
originalSize,
compressedSize: compressedData.length,
ratio,
algorithm,
checksum: this.calculateChecksum(compressedData),
metadata: {
compressionTime,
memoryUsed: this.getMemoryUsage(),
quality: this.calculateQuality(ratio, compressionTime),
deduplicationSavings: 0,
deltaEncodingSavings: 0,
},
};
// Cache for deduplication
if (options.enableDeduplication !== false) {
this.deduplicationCache.set(fingerprint.hash, compressedData);
}
// Update statistics
this.updateCompressionStats(result);
// Store compression history
this.compressionHistory.set(fingerprint.hash, result);
this.logger.debug("Data compressed", {
algorithm,
originalSize,
compressedSize: compressedData.length,
ratio: ratio.toFixed(3),
compressionTime,
});
this.emit("compressed", result);
return result;
} catch (error) {
this.logger.error("Compression failed", { error: error.message });
throw error;
}
}
/**
* Decompress data
*/
async decompress(
compressedData: Buffer,
algorithm: CompressionAlgorithm,
originalSize: number,
checksum?: string,
): Promise<DecompressionResult> {
if (!this.enabled) {
return {
data: JSON.parse(compressedData.toString()),
originalSize,
decompressionTime: 0,
verified: true,
};
}
const startTime = Date.now();
try {
// Verify checksum if provided
if (checksum && this.calculateChecksum(compressedData) !== checksum) {
throw new Error("Checksum verification failed");
}
let decompressedBuffer: Buffer;
switch (algorithm) {
case "lz4":
decompressedBuffer = await this.decompressLZ4(compressedData);
break;
case "brotli":
decompressedBuffer = await this.decompressBrotli(compressedData);
break;
case "gzip":
decompressedBuffer = await this.decompressGzip(compressedData);
break;
case "neural":
decompressedBuffer = await this.neuralCompressor.decompress(
compressedData,
originalSize,
);
break;
case "dictionary":
const text = this.dictionaryCompressor.decompress(compressedData);
decompressedBuffer = Buffer.from(text);
break;
case "delta":
decompressedBuffer = await this.decompressDelta(compressedData);
break;
default:
throw new Error(`Unsupported decompression algorithm: ${algorithm}`);
}
const decompressionTime = Date.now() - startTime;
// Deserialize data
const data = this.deserializeData(decompressedBuffer);
// Update statistics
this.updateDecompressionStats(decompressionTime);
const result: DecompressionResult = {
data,
originalSize: decompressedBuffer.length,
decompressionTime,
verified: true,
};
this.logger.debug("Data decompressed", {
algorithm,
compressedSize: compressedData.length,
decompressedSize: decompressedBuffer.length,
decompressionTime,
});
this.emit("decompressed", result);
return result;
} catch (error) {
this.logger.error("Decompression failed", {
algorithm,
error: error.message,
});
throw error;
}
}
/**
* Compress with specific algorithm and options
*/
async compressWithAlgorithm(
data: any,
algorithm: CompressionAlgorithm,
level?: number,
): Promise<Buffer> {
const options: CompressionOptions = {
algorithm,
level,
adaptiveSelection: false,
};
const result = await this.compress(data, options);
return result.compressedData;
}
/**
* Analyze data characteristics for optimal compression
*/
generateFingerprint(data: Buffer): DataFingerprint {
const hash = this.calculateHash(data);
const size = data.length;
const entropy = this.calculateEntropy(data);
const repetitionRate = this.calculateRepetitionRate(data);
const textRatio = this.calculateTextRatio(data);
const binaryRatio = 1 - textRatio;
// Determine data type
let type = "binary";
if (textRatio > 0.8) type = "text";
else if (textRatio > 0.5) type = "mixed";
return {
hash,
algorithm: "sha256",
size,
type,
entropy,
repetitionRate,
textRatio,
binaryRatio,
};
}
/**
* Add optimization rule
*/
addOptimizationRule(rule: OptimizationRule): void {
this.optimizationRules.push(rule);
this.optimizationRules.sort((a, b) => b.priority - a.priority);
this.logger.info("Optimization rule added", {
ruleId: rule.id,
algorithm: rule.algorithm,
priority: rule.priority,
});
}
/**
* Get compression statistics
*/
getStats(): CompressionStats {
this.updateMemoryUsage();
return { ...this.stats };
}
/**
* Perform garbage collection on caches
*/
garbageCollect(maxAge: number = 3600000): number {
// 1 hour default
const cutoffTime = Date.now() - maxAge;
let cleaned = 0;
// Clean deduplication cache
// Note: In real implementation, track timestamps
// Clean compression history
for (const [hash, result] of this.compressionHistory) {
// Simplified cleanup - remove old entries
if (Math.random() < 0.1) {
// Randomly clean 10%
this.compressionHistory.delete(hash);
cleaned++;
}
}
this.logger.debug("Garbage collection completed", { cleaned });
return cleaned;
}
/**
* Private methods
*/
private initializeOptimizationRules(): void {
// Rule for text data - use Brotli
this.addOptimizationRule({
id: "text_brotli",
condition: (fp) => fp.textRatio > 0.8,
algorithm: "brotli",
options: { level: 6 },
priority: 8,
});
// Rule for highly repetitive data - use LZ4
this.addOptimizationRule({
id: "repetitive_lz4",
condition: (fp) => fp.repetitionRate > 0.7,
algorithm: "lz4",
options: { level: 3 },
priority: 7,
});
// Rule for binary data - use Gzip
this.addOptimizationRule({
id: "binary_gzip",
condition: (fp) => fp.binaryRatio > 0.8,
algorithm: "gzip",
options: { level: 6 },
priority: 6,
});
// Rule for small data - use dictionary
this.addOptimizationRule({
id: "small_dictionary",
condition: (fp) => fp.size < 1024 && fp.textRatio > 0.5,
algorithm: "dictionary",
options: {},
priority: 5,
});
// Rule for low entropy data - use neural
this.addOptimizationRule({
id: "low_entropy_neural",
condition: (fp) => fp.entropy < 0.5,
algorithm: "neural",
options: {},
priority: 4,
});
}
private selectOptimalAlgorithm(
fingerprint: DataFingerprint,
): CompressionAlgorithm {
// Find matching rule
for (const rule of this.optimizationRules) {
if (rule.condition(fingerprint)) {
this.logger.debug("Selected algorithm via rule", {
ruleId: rule.id,
algorithm: rule.algorithm,
});
return rule.algorithm;
}
}
// Fallback algorithm selection based on characteristics
if (fingerprint.textRatio > 0.8) return "brotli";
if (fingerprint.repetitionRate > 0.7) return "lz4";
if (fingerprint.entropy < 0.5) return "gzip";
return "lz4"; // Default fallback
}
private async compressLZ4(
data: Buffer,
options: CompressionOptions,
): Promise<Buffer> {
// Simulate LZ4 compression
const compressionRatio = 0.6 + Math.random() * 0.2; // 60-80%
const compressedSize = Math.floor(data.length * compressionRatio);
const compressed = Buffer.alloc(compressedSize);
// Simple compression simulation
for (let i = 0; i < compressedSize; i++) {
compressed[i] = data[i % data.length];
}
return compressed;
}
private async compressBrotli(
data: Buffer,
options: CompressionOptions,
): Promise<Buffer> {
// Simulate Brotli compression - typically better for text
const compressionRatio = 0.4 + Math.random() * 0.2; // 40-60%
const compressedSize = Math.floor(data.length * compressionRatio);
const compressed = Buffer.alloc(compressedSize);
for (let i = 0; i < compressedSize; i++) {
compressed[i] = data[i % data.length] ^ i % 256;
}
return compressed;
}
private async compressGzip(
data: Buffer,
options: CompressionOptions,
): Promise<Buffer> {
// Simulate Gzip compression
const compressionRatio = 0.5 + Math.random() * 0.2; // 50-70%
const compressedSize = Math.floor(data.length * compressionRatio);
const compressed = Buffer.alloc(compressedSize);
for (let i = 0; i < compressedSize; i++) {
compressed[i] = data[i % data.length] ^ (i * 7) % 256;
}
return compressed;
}
private async compressDelta(
data: Buffer,
options: CompressionOptions,
): Promise<Buffer> {
// Delta compression against previous version
const deltaRatio = 0.3 + Math.random() * 0.2; // 30-50% for incremental data
const compressedSize = Math.floor(data.length * deltaRatio);
const compressed = Buffer.alloc(compressedSize);
for (let i = 0; i < compressedSize; i++) {
compressed[i] = data[i % data.length] ^ (i * 13) % 256;
}
return compressed;
}
private async decompressLZ4(data: Buffer): Promise<Buffer> {
// Simulate LZ4 decompression
const expansionRatio = 1.5 + Math.random() * 0.5; // 1.5-2x expansion
const decompressedSize = Math.floor(data.length * expansionRatio);
const decompressed = Buffer.alloc(decompressedSize);
for (let i = 0; i < decompressedSize; i++) {
decompressed[i] = data[i % data.length];
}
return decompressed;
}
private async decompressBrotli(data: Buffer): Promise<Buffer> {
// Simulate Brotli decompression
const expansionRatio = 2.0 + Math.random() * 0.5; // 2-2.5x expansion
const decompressedSize = Math.floor(data.length * expansionRatio);
const decompressed = Buffer.alloc(decompressedSize);
for (let i = 0; i < decompressedSize; i++) {
decompressed[i] = data[i % data.length] ^ i % 256;
}
return decompressed;
}
private async decompressGzip(data: Buffer): Promise<Buffer> {
// Simulate Gzip decompression
const expansionRatio = 1.8 + Math.random() * 0.4; // 1.8-2.2x expansion
const decompressedSize = Math.floor(data.length * expansionRatio);
const decompressed = Buffer.alloc(decompressedSize);
for (let i = 0; i < decompressedSize; i++) {
decompressed[i] = data[i % data.length] ^ (i * 7) % 256;
}
return decompressed;
}
private async decompressDelta(data: Buffer): Promise<Buffer> {
// Simulate delta decompression
const expansionRatio = 2.5 + Math.random() * 0.5; // 2.5-3x expansion
const decompressedSize = Math.floor(data.length * expansionRatio);
const decompressed = Buffer.alloc(decompressedSize);
for (let i = 0; i < decompressedSize; i++) {
decompressed[i] = data[i % data.length] ^ (i * 13) % 256;
}
return decompressed;
}
private checkDeduplication(hash: string): Buffer | null {
const cached = this.deduplicationCache.get(hash);
if (cached) {
this.stats.deduplicationHits++;
this.logger.debug("Deduplication hit", { hash: hash.substring(0, 16) });
}
return cached || null;
}
private createDeduplicationResult(
hash: string,
originalSize: number,
): CompressionResult {
return {
compressedData: Buffer.from(hash), // Just store the hash reference
originalSize,
compressedSize: hash.length,
ratio: hash.length / originalSize,
algorithm: "delta", // Mark as deduplicated
checksum: hash,
metadata: {
compressionTime: 0,
memoryUsed: 0,
quality: 1.0,
deduplicationSavings: originalSize - hash.length,
},
};
}
private createUncompressedResult(data: any): CompressionResult {
const serialized = this.serializeData(data);
return {
compressedData: serialized,
originalSize: serialized.length,
compressedSize: serialized.length,
ratio: 1.0,
algorithm: "lz4", // Dummy algorithm
checksum: this.calculateChecksum(serialized),
metadata: {
compressionTime: 0,
memoryUsed: 0,
quality: 0.0,
},
};
}
private serializeData(data: any): Buffer {
const jsonString = JSON.stringify(data);
return Buffer.from(jsonString, "utf8");
}
private deserializeData(buffer: Buffer): any {
const jsonString = buffer.toString("utf8");
return JSON.parse(jsonString);
}
private calculateChecksum(data: Buffer): string {
// Simple hash calculation (in real implementation, use crypto.createHash)
let hash = 0;
for (let i = 0; i < data.length; i++) {
hash = ((hash << 5) - hash + data[i]) & 0xffffffff;
}
return hash.toString(16);
}
private calculateHash(data: Buffer): string {
// Calculate SHA-256 hash (simplified)
let hash = 0;
for (let i = 0; i < Math.min(data.length, 1000); i++) {
hash = ((hash << 5) - hash + data[i]) & 0xffffffff;
}
return hash.toString(16).padStart(16, "0");
}
private calculateEntropy(data: Buffer): number {
const freq = new Array(256).fill(0);
// Count byte frequencies
for (let i = 0; i < data.length; i++) {
freq[data[i]]++;
}
// Calculate Shannon entropy
let entropy = 0;
for (let i = 0; i < 256; i++) {
if (freq[i] > 0) {
const p = freq[i] / data.length;
entropy -= p * Math.log2(p);
}
}
return entropy / 8; // Normalize to 0-1
}
private calculateRepetitionRate(data: Buffer): number {
if (data.length < 2) return 0;
let repetitions = 0;
for (let i = 1; i < data.length; i++) {
if (data[i] === data[i - 1]) {
repetitions++;
}
}
return repetitions / (data.length - 1);
}
private calculateTextRatio(data: Buffer): number {
let textBytes = 0;
for (let i = 0; i < data.length; i++) {
const byte = data[i];
// Consider printable ASCII and common UTF-8 as text
if (
(byte >= 32 && byte <= 126) ||
byte === 9 ||
byte === 10 ||
byte === 13
) {
textBytes++;
}
}
return textBytes / data.length;
}
private calculateQuality(ratio: number, time: number): number {
// Quality score based on compression ratio and speed
const ratioScore = Math.max(0, 1 - ratio); // Better compression = higher score
const timeScore = Math.max(0, 1 - time / 1000); // Faster = higher score
return ratioScore * 0.7 + timeScore * 0.3;
}
private getMemoryUsage(): number {
// Estimate memory usage (simplified)
return (
this.deduplicationCache.size * 100 +
this.deltaCache.size * 100 +
this.compressionHistory.size * 50
);
}
private updateCompressionStats(result: CompressionResult): void {
this.stats.totalCompressions++;
this.stats.totalBytesProcessed += result.originalSize;
this.stats.totalBytesSaved += result.originalSize - result.compressedSize;
// Update averages
this.stats.averageRatio = (this.stats.averageRatio + result.ratio) / 2;
this.stats.averageCompressionTime =
(this.stats.averageCompressionTime + result.metadata.compressionTime) / 2;
// Update algorithm usage
const count = this.stats.algorithmUsage.get(result.algorithm) || 0;
this.stats.algorithmUsage.set(result.algorithm, count + 1);
}
private updateDecompressionStats(decompressionTime: number): void {
this.stats.totalDecompressions++;
this.stats.averageDecompressionTime =
(this.stats.averageDecompressionTime + decompressionTime) / 2;
}
private updateMemoryUsage(): void {
this.stats.memoryUsage = this.getMemoryUsage();
}
private startBackgroundOptimization(): void {
// Background optimization every 5 minutes
setInterval(() => {
this.performBackgroundOptimization();
}, 300000);
}
private async performBackgroundOptimization(): Promise<void> {
try {
// Garbage collect old entries
const cleaned = this.garbageCollect();
// Optimize compression rules based on statistics
this.optimizeCompressionRules();
this.logger.debug("Background optimization completed", {
entriesCleaned: cleaned,
memoryUsage: this.stats.memoryUsage,
});
} catch (error) {
this.logger.error("Background optimization failed", {
error: error.message,
});
}
}
private optimizeCompressionRules(): void {
// Analyze algorithm performance and adjust rules
const algorithmPerformance = new Map<CompressionAlgorithm, number>();
for (const [algorithm, count] of this.stats.algorithmUsage) {
// Calculate performance score (simplified)
const score = count / this.stats.totalCompressions;
algorithmPerformance.set(algorithm, score);
}
// Log performance insights
this.logger.debug("Algorithm performance", {
performance: Object.fromEntries(algorithmPerformance),
});
}
}