@clduab11/gemini-flow/src/protocols/a2a/memory/distributed-memory-manager.ts

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.

/**
 * Distributed Memory Manager for A2A Agents
 *
 * Core memory coordination system providing:
 * - Distributed memory topology optimization
 * - Delta synchronization with Merkle trees
 * - Intelligent context propagation
 * - Advanced compression algorithms
 * - Memory sharding and partitioning
 * - Real-time health monitoring
 */

import { EventEmitter } from "events";
import { Logger } from "../../../utils/logger.js";
import { CacheManager } from "../../../core/cache-manager.js";
import { VectorClock } from "./vector-clocks.js";
import { CRDTSynchronizer } from "./crdt-sync.js";
import { GossipProtocol } from "./gossip-protocol.js";
import { MemoryCompressor } from "./memory-compressor.js";
import { ConflictResolver } from "./conflict-resolver.js";
import { MemorySharding } from "./memory-sharding.js";

export interface MemoryTopology {
  type: "mesh" | "hierarchical" | "ring" | "star" | "hybrid";
  nodes: AgentNode[];
  connections: Connection[];
  replicationFactor: number;
  partitionStrategy: "hash" | "range" | "consistent_hash";
  consistencyLevel: "eventual" | "strong" | "bounded_staleness";
}

export interface AgentNode {
  agentId: string;
  address: string;
  role: "coordinator" | "replica" | "partition" | "observer";
  capacity: {
    memory: number;
    cpu: number;
    network: number;
  };
  capabilities: string[];
  trustLevel: number;
  lastSeen: Date;
  vectorClock: VectorClock;
  shards: string[];
}

export interface Connection {
  fromAgent: string;
  toAgent: string;
  latency: number;
  bandwidth: number;
  reliability: number;
  lastSync: Date;
  syncVersion: string;
}

export interface MemoryDelta {
  deltaId: string;
  sourceAgent: string;
  targetAgents: string[];
  version: string;
  operations: MemoryOperation[];
  merkleRoot: string;
  compressedData: Buffer;
  checksum: string;
  timestamp: Date;
  dependencies: string[];
}

export interface MemoryOperation {
  type: "set" | "delete" | "merge" | "conflict_resolve";
  key: string;
  value?: any;
  vectorClock: VectorClock;
  metadata: {
    priority: number;
    ttl?: number;
    namespace: string;
    sourceAgent: string;
    conflictResolution?: string;
  };
}

export interface SynchronizationStats {
  totalSyncs: number;
  successfulSyncs: number;
  failedSyncs: number;
  averageSyncTime: number;
  averageDeltaSize: number;
  compressionRatio: number;
  conflictsResolved: number;
  lastSyncTime: Date;
  networkUtilization: number;
}

export interface MemoryMetrics {
  totalMemoryUsage: number;
  replicatedMemoryUsage: number;
  compressionSavings: number;
  syncLatency: { min: number; max: number; avg: number };
  topologyEfficiency: number;
  partitionBalance: number;
  conflictRate: number;
  throughput: { reads: number; writes: number; syncs: number };
}

/**
 * Distributed Memory Manager - Orchestrates all memory coordination
 */
export class DistributedMemoryManager extends EventEmitter {
  private logger: Logger;
  private cache: CacheManager;
  private topology: MemoryTopology;
  private localAgent: AgentNode;

  // Core components
  private vectorClock: VectorClock;
  private crdtSync: CRDTSynchronizer;
  private gossipProtocol: GossipProtocol;
  private compressor: MemoryCompressor;
  private conflictResolver: ConflictResolver;
  private memorySharding: MemorySharding;

  // State management
  private memoryStore: Map<string, any> = new Map();
  private pendingDeltas: Map<string, MemoryDelta> = new Map();
  private syncQueue: MemoryDelta[] = [];

  // Metrics and monitoring
  private stats: SynchronizationStats = {
    totalSyncs: 0,
    successfulSyncs: 0,
    failedSyncs: 0,
    averageSyncTime: 0,
    averageDeltaSize: 0,
    compressionRatio: 0,
    conflictsResolved: 0,
    lastSyncTime: new Date(),
    networkUtilization: 0,
  };

  private metrics: MemoryMetrics = {
    totalMemoryUsage: 0,
    replicatedMemoryUsage: 0,
    compressionSavings: 0,
    syncLatency: { min: 0, max: 0, avg: 0 },
    topologyEfficiency: 0,
    partitionBalance: 0,
    conflictRate: 0,
    throughput: { reads: 0, writes: 0, syncs: 0 },
  };

  constructor(
    agentId: string,
    initialTopology: Partial<MemoryTopology> = {},
    config: {
      enableCompression?: boolean;
      enableSharding?: boolean;
      enableGossip?: boolean;
      maxMemorySize?: number;
      syncInterval?: number;
      compressionThreshold?: number;
    } = {},
  ) {
    super();
    this.logger = new Logger(`DistributedMemoryManager:${agentId}`);
    this.cache = new CacheManager();

    // Initialize local agent node
    this.localAgent = {
      agentId,
      address: this.generateAddress(),
      role: "replica",
      capacity: {
        memory: config.maxMemorySize || 1024 * 1024 * 100, // 100MB
        cpu: 80,
        network: 100,
      },
      capabilities: ["sync", "compress", "shard", "gossip"],
      trustLevel: 1.0,
      lastSeen: new Date(),
      vectorClock: new VectorClock(agentId),
      shards: [],
    };

    // Initialize topology
    this.topology = {
      type: "mesh",
      nodes: [this.localAgent],
      connections: [],
      replicationFactor: 3,
      partitionStrategy: "consistent_hash",
      consistencyLevel: "eventual",
      ...initialTopology,
    };

    this.initializeComponents(config);
    this.optimizeTopology();
    this.startSynchronization();

    this.logger.info("Distributed Memory Manager initialized", {
      agentId,
      topology: this.topology.type,
      capabilities: this.localAgent.capabilities,
    });
  }

  /**
   * Initialize core components
   */
  private initializeComponents(config: any): void {
    this.vectorClock = new VectorClock(this.localAgent.agentId);
    this.crdtSync = new CRDTSynchronizer(
      this.localAgent.agentId,
      this.vectorClock,
    );
    this.compressor = new MemoryCompressor(config.enableCompression !== false);
    this.conflictResolver = new ConflictResolver(this.vectorClock);

    if (config.enableSharding !== false) {
      this.memorySharding = new MemorySharding(this.topology.partitionStrategy);
    }

    if (config.enableGossip !== false) {
      this.gossipProtocol = new GossipProtocol(this.localAgent, this.topology);
      this.setupGossipHandlers();
    }

    this.setupComponentHandlers();
  }

  /**
   * Optimize memory topology based on swarm characteristics
   */
  async optimizeTopology(): Promise<void> {
    const swarmCharacteristics = this.analyzeSwarmCharacteristics();
    const optimalTopology =
      await this.selectOptimalTopology(swarmCharacteristics);

    if (optimalTopology !== this.topology.type) {
      this.logger.info("Optimizing topology", {
        from: this.topology.type,
        to: optimalTopology,
        reason: swarmCharacteristics,
      });

      await this.reconfigureTopology(optimalTopology);
    }

    // Optimize connections
    await this.optimizeConnections();

    // Update metrics
    this.metrics.topologyEfficiency = this.calculateTopologyEfficiency();
  }

  /**
   * Analyze swarm characteristics for topology optimization
   */
  private analyzeSwarmCharacteristics(): any {
    const agentCount = this.topology.nodes.length;
    const averageLatency = this.calculateAverageLatency();
    const memoryPressure = this.calculateMemoryPressure();
    const consistencyRequirements = this.analyzeConsistencyRequirements();

    return {
      agentCount,
      averageLatency,
      memoryPressure,
      consistencyRequirements,
      networkPartitions: this.detectNetworkPartitions(),
      workloadPatterns: this.analyzeWorkloadPatterns(),
    };
  }

  /**
   * Select optimal topology based on characteristics
   */
  private async selectOptimalTopology(
    characteristics: any,
  ): Promise<MemoryTopology["type"]> {
    const { agentCount, memoryPressure, consistencyRequirements } =
      characteristics;

    // Small swarms favor mesh topology
    if (agentCount < 10) {
      return "mesh";
    }

    // Strong consistency requirements favor hierarchical
    if (consistencyRequirements.level === "strong") {
      return "hierarchical";
    }

    // High memory pressure favors sharded approach
    if (memoryPressure > 0.8) {
      return "hybrid";
    }

    // Default to ring for balanced performance
    return "ring";
  }

  /**
   * Create delta synchronization package
   */
  async createDeltaSync(
    targetAgent: string,
    lastSyncVersion?: string,
  ): Promise<MemoryDelta> {
    const startTime = Date.now();

    try {
      // Get current memory state
      const currentState = await this.getMemoryState();

      // Calculate delta operations
      const operations = await this.calculateDeltaOperations(
        targetAgent,
        lastSyncVersion || "0",
      );

      if (operations.length === 0) {
        this.logger.debug("No delta operations needed", { targetAgent });
        return null;
      }

      // Create Merkle tree for integrity
      const merkleRoot = this.calculateMerkleRoot(operations);

      // Compress delta data
      const compressedData = await this.compressor.compress({
        operations,
        metadata: {
          sourceAgent: this.localAgent.agentId,
          targetAgent,
          version: this.vectorClock.toString(),
        },
      });

      const delta: MemoryDelta = {
        deltaId: this.generateDeltaId(),
        sourceAgent: this.localAgent.agentId,
        targetAgents: [targetAgent],
        version: this.vectorClock.toString(),
        operations,
        merkleRoot,
        compressedData,
        checksum: this.calculateChecksum(compressedData),
        timestamp: new Date(),
        dependencies: this.getDependencies(operations),
      };

      // Update statistics
      const processingTime = Date.now() - startTime;
      this.updateSyncStats(
        operations.length,
        compressedData.length,
        processingTime,
      );

      this.logger.debug("Delta sync created", {
        deltaId: delta.deltaId,
        targetAgent,
        operationCount: operations.length,
        compressedSize: compressedData.length,
        processingTime,
      });

      return delta;
    } catch (error) {
      this.logger.error("Failed to create delta sync", {
        targetAgent,
        error: error.message,
      });

      this.stats.failedSyncs++;
      throw error;
    }
  }

  /**
   * Apply delta synchronization
   */
  async applyDelta(delta: MemoryDelta): Promise<boolean> {
    const startTime = Date.now();

    try {
      // Verify delta integrity
      if (!this.verifyDeltaIntegrity(delta)) {
        throw new Error("Delta integrity verification failed");
      }

      // Decompress delta data
      const decompressedData = await this.compressor.decompress(
        delta.compressedData,
      );

      // Apply operations with conflict resolution
      const conflicts: MemoryOperation[] = [];

      for (const operation of delta.operations) {
        const conflict = await this.applyOperation(operation);
        if (conflict) {
          conflicts.push(conflict);
        }
      }

      // Resolve conflicts if any
      if (conflicts.length > 0) {
        await this.resolveConflicts(conflicts);
        this.stats.conflictsResolved += conflicts.length;
      }

      // Update vector clock
      this.vectorClock.merge(VectorClock.fromString(delta.version));

      // Update local state
      await this.updateLocalState(delta);

      // Propagate to gossip protocol if enabled
      if (this.gossipProtocol) {
        await this.gossipProtocol.propagateUpdate(delta);
      }

      const processingTime = Date.now() - startTime;
      this.stats.successfulSyncs++;
      this.stats.averageSyncTime =
        (this.stats.averageSyncTime + processingTime) / 2;

      this.logger.debug("Delta applied successfully", {
        deltaId: delta.deltaId,
        operationCount: delta.operations.length,
        conflictsResolved: conflicts.length,
        processingTime,
      });

      this.emit("delta_applied", {
        deltaId: delta.deltaId,
        sourceAgent: delta.sourceAgent,
        operationCount: delta.operations.length,
        conflicts: conflicts.length,
      });

      return true;
    } catch (error) {
      this.stats.failedSyncs++;
      this.logger.error("Failed to apply delta", {
        deltaId: delta.deltaId,
        error: error.message,
      });

      return false;
    }
  }

  /**
   * Intelligent context propagation
   */
  async propagateContext(
    contextUpdate: any,
    options: {
      priority?: number;
      relevanceThreshold?: number;
      maxTargets?: number;
      namespace?: string;
    } = {},
  ): Promise<void> {
    try {
      // Calculate relevance scores for all agents
      const relevanceScores = await this.calculateRelevanceScores(
        contextUpdate,
        this.topology.nodes,
      );

      // Filter agents by relevance threshold
      const relevantAgents = this.filterByRelevance(
        relevanceScores,
        options.relevanceThreshold || 0.5,
      );

      // Limit targets if specified
      const targetAgents = options.maxTargets
        ? relevantAgents.slice(0, options.maxTargets)
        : relevantAgents;

      // Personalize context for each target
      const personalizedContexts = new Map<string, any>();

      for (const agent of targetAgents) {
        const personalizedContext = await this.personalizeContext(
          contextUpdate,
          agent,
          relevanceScores.get(agent.agentId),
        );

        personalizedContexts.set(agent.agentId, personalizedContext);
      }

      // Create memory operations for context updates
      const operations: MemoryOperation[] = [];

      for (const [agentId, context] of personalizedContexts) {
        const operation: MemoryOperation = {
          type: "set",
          key: `context:${contextUpdate.id}`,
          value: context,
          vectorClock: this.vectorClock.increment(),
          metadata: {
            priority: options.priority || 5,
            namespace: options.namespace || "context",
            sourceAgent: this.localAgent.agentId,
            ttl: contextUpdate.ttl,
          },
        };

        operations.push(operation);
      }

      // Distribute context updates
      await this.distributeOperations(
        operations,
        targetAgents.map((a) => a.agentId),
      );

      this.logger.info("Context propagated", {
        contextId: contextUpdate.id,
        targetCount: targetAgents.length,
        averageRelevance: this.calculateAverageRelevance(relevanceScores),
      });
    } catch (error) {
      this.logger.error("Context propagation failed", {
        contextId: contextUpdate.id,
        error: error.message,
      });
    }
  }

  /**
   * Advanced memory compression
   */
  async compressMemoryData(
    data: any,
    options: {
      algorithm?: "lz4" | "brotli" | "neural";
      compressionLevel?: number;
      enableDeduplication?: boolean;
    } = {},
  ): Promise<Buffer> {
    try {
      // Analyze data characteristics
      const characteristics = this.analyzeDataCharacteristics(data);

      // Select optimal compression algorithm
      const algorithm =
        options.algorithm || this.selectCompressionAlgorithm(characteristics);

      // Apply deduplication if enabled
      const deduplicatedData =
        options.enableDeduplication !== false
          ? await this.deduplicateData(data)
          : data;

      // Compress data
      const compressedData = await this.compressor.compressWithAlgorithm(
        deduplicatedData,
        algorithm,
        options.compressionLevel,
      );

      // Update compression metrics
      const compressionRatio =
        compressedData.length / JSON.stringify(data).length;
      this.stats.compressionRatio =
        (this.stats.compressionRatio + compressionRatio) / 2;

      this.logger.debug("Data compressed", {
        algorithm,
        originalSize: JSON.stringify(data).length,
        compressedSize: compressedData.length,
        ratio: compressionRatio,
      });

      return compressedData;
    } catch (error) {
      this.logger.error("Memory compression failed", { error: error.message });
      throw error;
    }
  }

  /**
   * Get comprehensive memory metrics
   */
  getMemoryMetrics(): MemoryMetrics {
    this.updateMetrics();
    return { ...this.metrics };
  }

  /**
   * Get synchronization statistics
   */
  getSynchronizationStats(): SynchronizationStats {
    return { ...this.stats };
  }

  /**
   * Get current topology information
   */
  getTopology(): MemoryTopology {
    return { ...this.topology };
  }

  /**
   * Add new agent to the topology
   */
  async addAgent(agent: Partial<AgentNode>): Promise<void> {
    const newAgent: AgentNode = {
      agentId: agent.agentId!,
      address: agent.address || this.generateAddress(),
      role: agent.role || "replica",
      capacity: agent.capacity || { memory: 100, cpu: 80, network: 100 },
      capabilities: agent.capabilities || ["sync"],
      trustLevel: agent.trustLevel || 0.5,
      lastSeen: new Date(),
      vectorClock: new VectorClock(agent.agentId!),
      shards: [],
    };

    this.topology.nodes.push(newAgent);

    // Optimize topology with new agent
    await this.optimizeTopology();

    // Update sharding if enabled
    if (this.memorySharding) {
      await this.memorySharding.rebalanceShards(this.topology.nodes);
    }

    this.logger.info("Agent added to topology", {
      agentId: newAgent.agentId,
      role: newAgent.role,
      nodeCount: this.topology.nodes.length,
    });

    this.emit("agent_added", newAgent);
  }

  /**
   * Remove agent from topology
   */
  async removeAgent(agentId: string): Promise<void> {
    const agentIndex = this.topology.nodes.findIndex(
      (n) => n.agentId === agentId,
    );
    if (agentIndex === -1) return;

    const removedAgent = this.topology.nodes[agentIndex];
    this.topology.nodes.splice(agentIndex, 1);

    // Remove connections
    this.topology.connections = this.topology.connections.filter(
      (c) => c.fromAgent !== agentId && c.toAgent !== agentId,
    );

    // Redistribute shards if the agent had any
    if (this.memorySharding && removedAgent.shards.length > 0) {
      await this.memorySharding.redistributeShards(
        removedAgent.shards,
        this.topology.nodes,
      );
    }

    this.logger.warn("Agent removed from topology", {
      agentId,
      shardCount: removedAgent.shards.length,
      remainingNodes: this.topology.nodes.length,
    });

    this.emit("agent_removed", { agentId, agent: removedAgent });
  }

  /**
   * Emergency memory cleanup
   */
  async emergencyCleanup(reason: string): Promise<void> {
    this.logger.warn("Emergency memory cleanup initiated", { reason });

    try {
      // Stop synchronization
      this.stopSynchronization();

      // Clear non-critical memory
      await this.clearNonCriticalMemory();

      // Compress all remaining data
      await this.compressAllMemory();

      // Reset metrics
      this.resetMetrics();

      this.logger.info("Emergency cleanup completed");
      this.emit("emergency_cleanup", { reason, timestamp: Date.now() });
    } catch (error) {
      this.logger.error("Emergency cleanup failed", {
        reason,
        error: error.message,
      });
      throw error;
    }
  }

  /**
   * Private helper methods
   */

  private generateAddress(): string {
    return `agent://${this.localAgent.agentId}:${Math.floor(Math.random() * 65535)}`;
  }

  private generateDeltaId(): string {
    return `delta_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
  }

  private calculateMerkleRoot(operations: MemoryOperation[]): string {
    // Simplified Merkle root calculation
    const hashes = operations.map((op) =>
      crypto.createHash("sha256").update(JSON.stringify(op)).digest("hex"),
    );

    return crypto.createHash("sha256").update(hashes.join("")).digest("hex");
  }

  private calculateChecksum(data: Buffer): string {
    return crypto.createHash("sha256").update(data).digest("hex");
  }

  private async calculateDeltaOperations(
    targetAgent: string,
    lastSyncVersion: string,
  ): Promise<MemoryOperation[]> {
    const operations: MemoryOperation[] = [];

    // Compare current state with target agent's last known state
    for (const [key, value] of this.memoryStore) {
      const lastKnownVersion = await this.getLastKnownVersion(targetAgent, key);

      if (!lastKnownVersion || this.vectorClock.isNewer(lastKnownVersion)) {
        operations.push({
          type: "set",
          key,
          value,
          vectorClock: this.vectorClock.copy(),
          metadata: {
            priority: 5,
            namespace: this.extractNamespace(key),
            sourceAgent: this.localAgent.agentId,
          },
        });
      }
    }

    return operations;
  }

  private verifyDeltaIntegrity(delta: MemoryDelta): boolean {
    // Verify checksum
    const calculatedChecksum = this.calculateChecksum(delta.compressedData);
    if (calculatedChecksum !== delta.checksum) {
      return false;
    }

    // Verify Merkle root (after decompression)
    // This would require decompressing first, skipping for now

    return true;
  }

  private async applyOperation(
    operation: MemoryOperation,
  ): Promise<MemoryOperation | null> {
    const existingValue = this.memoryStore.get(operation.key);

    if (existingValue && existingValue.vectorClock) {
      // Check for conflicts
      const comparison = this.vectorClock.compare(existingValue.vectorClock);

      if (comparison === "concurrent") {
        // Conflict detected
        return operation;
      }
    }

    // Apply operation
    switch (operation.type) {
      case "set":
        this.memoryStore.set(operation.key, {
          value: operation.value,
          vectorClock: operation.vectorClock,
          metadata: operation.metadata,
        });
        break;

      case "delete":
        this.memoryStore.delete(operation.key);
        break;

      case "merge":
        await this.mergeOperation(operation);
        break;
    }

    return null; // No conflict
  }

  private async resolveConflicts(conflicts: MemoryOperation[]): Promise<void> {
    for (const conflict of conflicts) {
      const resolution = await this.conflictResolver.resolve(
        conflict,
        this.memoryStore.get(conflict.key),
      );

      if (resolution) {
        await this.applyOperation(resolution);
      }
    }
  }

  private async mergeOperation(operation: MemoryOperation): Promise<void> {
    const existing = this.memoryStore.get(operation.key);
    if (!existing) {
      this.memoryStore.set(operation.key, operation.value);
      return;
    }

    // Use CRDT merge logic
    const merged = await this.crdtSync.merge(existing.value, operation.value);

    this.memoryStore.set(operation.key, {
      value: merged,
      vectorClock: operation.vectorClock,
      metadata: operation.metadata,
    });
  }

  private async updateLocalState(delta: MemoryDelta): Promise<void> {
    // Update last sync information for source agent
    await this.cache.set(
      `last_sync:${delta.sourceAgent}`,
      {
        version: delta.version,
        timestamp: delta.timestamp,
        operationCount: delta.operations.length,
      },
      86400000, // 24 hours
    );
  }

  private async calculateRelevanceScores(
    contextUpdate: any,
    nodes: AgentNode[],
  ): Promise<Map<string, number>> {
    const scores = new Map<string, number>();

    for (const node of nodes) {
      if (node.agentId === this.localAgent.agentId) continue;

      let score = 0.0;

      // Capability matching
      const capabilityMatch = this.calculateCapabilityMatch(
        contextUpdate.requiredCapabilities || [],
        node.capabilities,
      );
      score += capabilityMatch * 0.4;

      // Trust level
      score += node.trustLevel * 0.3;

      // Network proximity (inverse of latency)
      const connection = this.findConnection(
        this.localAgent.agentId,
        node.agentId,
      );
      if (connection) {
        score += (1 / (connection.latency + 1)) * 0.3;
      }

      scores.set(node.agentId, Math.min(score, 1.0));
    }

    return scores;
  }

  private filterByRelevance(
    scores: Map<string, number>,
    threshold: number,
  ): AgentNode[] {
    return this.topology.nodes.filter((node) => {
      const score = scores.get(node.agentId);
      return score && score >= threshold;
    });
  }

  private async personalizeContext(
    contextUpdate: any,
    agent: AgentNode,
    relevanceScore: number,
  ): Promise<any> {
    // Personalize context based on agent capabilities and preferences
    const personalizedContext = { ...contextUpdate };

    // Filter data based on agent capabilities
    if (contextUpdate.capabilities) {
      personalizedContext.capabilities = contextUpdate.capabilities.filter(
        (cap: string) => agent.capabilities.includes(cap),
      );
    }

    // Adjust detail level based on relevance
    if (relevanceScore < 0.7) {
      personalizedContext.detail = "summary";
    }

    return personalizedContext;
  }

  private async distributeOperations(
    operations: MemoryOperation[],
    targetAgents: string[],
  ): Promise<void> {
    for (const agentId of targetAgents) {
      try {
        const delta = await this.createDeltaSync(agentId);
        if (delta) {
          // In a real implementation, this would send the delta to the target agent
          await this.sendDeltaToAgent(agentId, delta);
        }
      } catch (error) {
        this.logger.error("Failed to distribute to agent", {
          agentId,
          error: error.message,
        });
      }
    }
  }

  private analyzeDataCharacteristics(data: any): any {
    const serialized = JSON.stringify(data);
    const size = serialized.length;

    // Analyze content type
    let type = "mixed";
    if (typeof data === "string") type = "text";
    else if (Array.isArray(data)) type = "array";
    else if (typeof data === "object") type = "object";

    // Calculate repetition rate
    const uniqueChars = new Set(serialized).size;
    const repetitionRate = 1 - uniqueChars / serialized.length;

    return { type, size, repetitionRate };
  }

  private selectCompressionAlgorithm(characteristics: any): string {
    if (characteristics.type === "text") return "brotli";
    if (characteristics.repetitionRate > 0.8) return "lz4";
    return "neural";
  }

  private async deduplicateData(data: any): Promise<any> {
    // Simple deduplication logic
    if (Array.isArray(data)) {
      return [...new Set(data)];
    }
    return data;
  }

  private updateMetrics(): void {
    this.metrics.totalMemoryUsage = this.calculateTotalMemoryUsage();
    this.metrics.replicatedMemoryUsage = this.calculateReplicatedMemoryUsage();
    this.metrics.compressionSavings = this.calculateCompressionSavings();
    this.metrics.topologyEfficiency = this.calculateTopologyEfficiency();
    this.metrics.partitionBalance = this.calculatePartitionBalance();
    this.metrics.conflictRate = this.calculateConflictRate();
  }

  private calculateTotalMemoryUsage(): number {
    return Array.from(this.memoryStore.values()).reduce(
      (total, item) => total + JSON.stringify(item).length,
      0,
    );
  }

  private calculateReplicatedMemoryUsage(): number {
    // Calculate memory used for replication
    return (
      this.calculateTotalMemoryUsage() * (this.topology.replicationFactor - 1)
    );
  }

  private calculateCompressionSavings(): number {
    // Placeholder calculation
    return this.stats.compressionRatio * this.calculateTotalMemoryUsage();
  }

  private calculateTopologyEfficiency(): number {
    const connections = this.topology.connections.length;
    const nodes = this.topology.nodes.length;
    const maxConnections = (nodes * (nodes - 1)) / 2;

    return connections / maxConnections;
  }

  private calculatePartitionBalance(): number {
    if (!this.memorySharding) return 1.0;

    const shardSizes = this.topology.nodes.map((node) => node.shards.length);
    const avgShardSize =
      shardSizes.reduce((a, b) => a + b, 0) / shardSizes.length;
    const variance =
      shardSizes.reduce(
        (acc, size) => acc + Math.pow(size - avgShardSize, 2),
        0,
      ) / shardSizes.length;

    return 1 / (1 + variance);
  }

  private calculateConflictRate(): number {
    const totalOps = this.stats.totalSyncs * 10; // Approximate operations
    return totalOps > 0 ? this.stats.conflictsResolved / totalOps : 0;
  }

  private setupComponentHandlers(): void {
    // Setup handlers for component events
    if (this.crdtSync) {
      this.crdtSync.on("conflict_detected", (conflict) => {
        this.emit("conflict_detected", conflict);
      });
    }

    if (this.conflictResolver) {
      this.conflictResolver.on("conflict_resolved", (resolution) => {
        this.emit("conflict_resolved", resolution);
      });
    }
  }

  private setupGossipHandlers(): void {
    if (!this.gossipProtocol) return;

    this.gossipProtocol.on("update_received", async (update) => {
      await this.applyDelta(update);
    });

    this.gossipProtocol.on("agent_discovered", (agent) => {
      this.addAgent(agent);
    });
  }

  private startSynchronization(): void {
    // Start periodic synchronization
    setInterval(() => {
      this.performPeriodicSync();
    }, 30000); // Every 30 seconds

    // Start metrics collection
    setInterval(() => {
      this.updateMetrics();
    }, 10000); // Every 10 seconds
  }

  private stopSynchronization(): void {
    // Implementation would clear intervals
  }

  private async performPeriodicSync(): Promise<void> {
    for (const node of this.topology.nodes) {
      if (node.agentId === this.localAgent.agentId) continue;

      try {
        const delta = await this.createDeltaSync(node.agentId);
        if (delta) {
          await this.sendDeltaToAgent(node.agentId, delta);
        }
      } catch (error) {
        this.logger.warn("Periodic sync failed", {
          targetAgent: node.agentId,
          error: error.message,
        });
      }
    }
  }

  private async sendDeltaToAgent(
    agentId: string,
    delta: MemoryDelta,
  ): Promise<void> {
    // Placeholder for actual network communication
    // In real implementation, this would use network protocols
    this.logger.debug("Sending delta to agent", {
      agentId,
      deltaId: delta.deltaId,
      size: delta.compressedData.length,
    });
  }

  // Additional helper methods...
  private calculateAverageLatency(): number {
    return 100;
  }
  private calculateMemoryPressure(): number {
    return 0.5;
  }
  private analyzeConsistencyRequirements(): any {
    return { level: "eventual" };
  }
  private detectNetworkPartitions(): any[] {
    return [];
  }
  private analyzeWorkloadPatterns(): any {
    return {};
  }
  private async reconfigureTopology(
    newType: MemoryTopology["type"],
  ): Promise<void> {
    this.topology.type = newType;
  }
  private async optimizeConnections(): Promise<void> {}
  private async getMemoryState(): Promise<any> {
    return {};
  }
  private getDependencies(operations: MemoryOperation[]): string[] {
    return [];
  }
  private updateSyncStats(opCount: number, size: number, time: number): void {}
  private async getLastKnownVersion(
    agent: string,
    key: string,
  ): Promise<VectorClock | null> {
    return null;
  }
  private extractNamespace(key: string): string {
    return key.split(":")[0] || "default";
  }
  private calculateCapabilityMatch(
    required: string[],
    available: string[],
  ): number {
    const matches = required.filter((r) => available.includes(r)).length;
    return required.length > 0 ? matches / required.length : 0;
  }
  private findConnection(from: string, to: string): Connection | null {
    return (
      this.topology.connections.find(
        (c) =>
          (c.fromAgent === from && c.toAgent === to) ||
          (c.fromAgent === to && c.toAgent === from),
      ) || null
    );
  }
  private calculateAverageRelevance(scores: Map<string, number>): number {
    const values = Array.from(scores.values());
    return values.reduce((a, b) => a + b, 0) / values.length;
  }
  private async clearNonCriticalMemory(): Promise<void> {}
  private async compressAllMemory(): Promise<void> {}
  private resetMetrics(): void {
    Object.keys(this.metrics).forEach((key) => {
      if (typeof this.metrics[key] === "number") this.metrics[key] = 0;
    });
  }
}