@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
/**
* Byzantine Spatial Consensus System
*
* Extends existing Byzantine consensus for spatial coordination with:
* - Location agreement protocols
* - Resource allocation consensus
* - Zone access management
* - Spatial conflict resolution
* - Movement coordination
*/
import { EventEmitter } from "events";
import { Logger } from "../../utils/logger.js";
import {
ByzantineConsensus,
Agent,
ConsensusMessage,
ConsensusProposal,
} from "../../protocols/a2a/consensus/byzantine-consensus.js";
import {
SpatialConsensusProposal,
SpatialRequirement,
ResourceRequirement,
SpatialConsensusVote,
ConditionalRequirement,
SpatialConsensusResult,
ImplementationStep,
Vector3D,
BoundingBox,
SpatialZone,
AgentSpaceEvent,
} from "../types/AgentSpaceTypes.js";
export interface SpatialConsensusConfig {
spatialTolerance: number;
resourceContention: boolean;
movementCoordination: boolean;
zoneManagement: boolean;
consensusTimeout: number;
quorumThreshold: number;
byzantineTolerance: number;
}
export interface SpatialAgent extends Agent {
location: Vector3D;
boundingBox: BoundingBox;
movementVector: Vector3D;
spatialCapabilities: string[];
resourceRequirements: ResourceRequirement[];
trustLevel: number;
spatialPriority: number;
}
export interface LocationProposal extends SpatialConsensusProposal {
type: "location_change";
currentLocation: Vector3D;
targetLocation: Vector3D;
movementPath: Vector3D[];
estimatedTime: number;
resourceImpact: ResourceRequirement[];
}
export interface ResourceAllocationProposal extends SpatialConsensusProposal {
type: "resource_allocation";
resourceType: string;
requiredAmount: number;
duration: number;
exclusiveAccess: boolean;
fallbackOptions: ResourceRequirement[];
}
export interface ZoneAccessProposal extends SpatialConsensusProposal {
type: "zone_access";
zoneId: string;
accessType: "enter" | "exit" | "modify" | "create";
duration?: number;
modifications?: any;
}
export interface CollaborationProposal extends SpatialConsensusProposal {
type: "collaboration_request";
collaborationType:
| "shared_workspace"
| "resource_sharing"
| "joint_task"
| "knowledge_exchange";
requiredParticipants: string[];
spatialArrangement: SpatialArrangement;
duration: number;
}
export interface SpatialArrangement {
centerPoint: Vector3D;
participantPositions: { [agentId: string]: Vector3D };
workspaceSize: Vector3D;
accessRules: string[];
}
export interface SpatialConflict {
id: string;
type:
| "location_overlap"
| "resource_contention"
| "movement_collision"
| "zone_violation";
involvedAgents: string[];
severity: "low" | "medium" | "high" | "critical";
detectedAt: Date;
spatialData: any;
autoResolvable: boolean;
}
export interface ConflictResolution {
conflictId: string;
strategy:
| "avoidance"
| "negotiation"
| "priority_based"
| "resource_sharing"
| "temporal_separation";
actions: ResolutionAction[];
expectedOutcome: any;
implementationOrder: number[];
}
export interface ResolutionAction {
agentId: string;
actionType: "move" | "wait" | "resize" | "share_resource" | "change_priority";
parameters: any;
timing: { start: Date; duration: number };
conditions: string[];
}
export interface SpatialConsensusMetrics {
totalProposals: number;
approvedProposals: number;
rejectedProposals: number;
averageConsensusTime: number;
conflictsDetected: number;
conflictsResolved: number;
spatialEfficiency: number;
resourceUtilization: number;
}
export class ByzantineSpatialConsensus extends EventEmitter {
private logger: Logger;
private config: SpatialConsensusConfig;
private baseConsensus: ByzantineConsensus;
private spatialAgents: Map<string, SpatialAgent> = new Map();
private activeProposals: Map<string, SpatialConsensusProposal> = new Map();
private votingRecords: Map<string, SpatialConsensusVote[]> = new Map();
private spatialConflicts: Map<string, SpatialConflict> = new Map();
private consensusResults: Map<string, SpatialConsensusResult> = new Map();
private resourceAllocations: Map<string, ResourceAllocation> = new Map();
private zoneStates: Map<string, SpatialZone> = new Map();
// Performance metrics
private metrics: SpatialConsensusMetrics = {
totalProposals: 0,
approvedProposals: 0,
rejectedProposals: 0,
averageConsensusTime: 0,
conflictsDetected: 0,
conflictsResolved: 0,
spatialEfficiency: 0.8,
resourceUtilization: 0.6,
};
constructor(
agentId: string,
config: SpatialConsensusConfig,
totalAgents: number = 7,
) {
super();
this.logger = new Logger("ByzantineSpatialConsensus");
this.config = config;
// Initialize base Byzantine consensus
this.baseConsensus = new ByzantineConsensus(agentId, totalAgents);
this.setupBaseConsensusHandlers();
this.logger.info("Byzantine Spatial Consensus initialized", {
agentId,
spatialTolerance: config.spatialTolerance,
quorumThreshold: config.quorumThreshold,
});
}
/**
* Register a spatial agent
*/
registerSpatialAgent(agent: SpatialAgent): void {
this.spatialAgents.set(agent.id, agent);
// Register with base consensus system
this.baseConsensus.registerAgent({
id: agent.id,
publicKey: agent.publicKey,
isLeader: agent.isLeader,
isMalicious: agent.isMalicious,
reputation: agent.reputation,
lastActiveTime: agent.lastActiveTime,
});
this.logger.debug("Spatial agent registered", {
agentId: agent.id,
location: agent.location,
capabilities: agent.spatialCapabilities,
});
this.emit("spatial_agent_registered", agent);
}
/**
* Propose a location change with consensus
*/
async proposeLocationChange(
agentId: string,
targetLocation: Vector3D,
movementPath: Vector3D[] = [],
priority: "low" | "normal" | "high" | "critical" = "normal",
): Promise<string> {
const agent = this.spatialAgents.get(agentId);
if (!agent) {
throw new Error(`Agent not found: ${agentId}`);
}
// Check for potential conflicts
const conflicts = await this.detectLocationConflicts(
agentId,
targetLocation,
);
const proposal: LocationProposal = {
proposalId: `loc_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
type: "location_change",
proposer: agentId,
targetAgents: this.getAffectedAgents(targetLocation, agent.boundingBox),
spatialRequirements: [
{
type: "location",
constraint: { targetLocation, conflicts },
mandatory: true,
weight: 1.0,
},
],
resourceRequirements: agent.resourceRequirements,
consensusDeadline: new Date(Date.now() + this.config.consensusTimeout),
priority,
currentLocation: agent.location,
targetLocation,
movementPath:
movementPath.length > 0
? movementPath
: [agent.location, targetLocation],
estimatedTime: this.calculateMovementTime(agent.location, targetLocation),
resourceImpact: this.analyzeResourceImpact(agent, targetLocation),
};
return await this.initiateConsensus(proposal);
}
/**
* Propose resource allocation
*/
async proposeResourceAllocation(
agentId: string,
resourceType: string,
amount: number,
duration: number,
exclusiveAccess: boolean = false,
): Promise<string> {
const agent = this.spatialAgents.get(agentId);
if (!agent) {
throw new Error(`Agent not found: ${agentId}`);
}
const proposal: ResourceAllocationProposal = {
proposalId: `res_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
type: "resource_allocation",
proposer: agentId,
targetAgents: this.getResourceContenders(resourceType, amount),
spatialRequirements: [],
resourceRequirements: [
{
resourceType,
amount,
duration,
sharable: !exclusiveAccess,
fallback: this.generateResourceFallbacks(resourceType, amount),
},
],
consensusDeadline: new Date(Date.now() + this.config.consensusTimeout),
priority: this.determineResourcePriority(resourceType, amount),
resourceType,
requiredAmount: amount,
duration,
exclusiveAccess,
fallbackOptions: this.generateResourceFallbacks(resourceType, amount),
};
return await this.initiateConsensus(proposal);
}
/**
* Propose zone access
*/
async proposeZoneAccess(
agentId: string,
zoneId: string,
accessType: "enter" | "exit" | "modify" | "create",
duration?: number,
modifications?: any,
): Promise<string> {
const zone = this.zoneStates.get(zoneId);
const agent = this.spatialAgents.get(agentId);
if (!agent) {
throw new Error(`Agent not found: ${agentId}`);
}
const proposal: ZoneAccessProposal = {
proposalId: `zone_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
type: "zone_access",
proposer: agentId,
targetAgents: zone ? this.getZoneStakeholders(zone) : [],
spatialRequirements: [
{
type: "location",
constraint: { zoneId, accessType, agent: agent.location },
mandatory: true,
weight: 1.0,
},
],
resourceRequirements: [],
consensusDeadline: new Date(Date.now() + this.config.consensusTimeout),
priority: this.determineZoneAccessPriority(accessType),
zoneId,
accessType,
duration,
modifications,
};
return await this.initiateConsensus(proposal);
}
/**
* Propose collaboration between agents
*/
async proposeCollaboration(
initiatorId: string,
participantIds: string[],
collaborationType:
| "shared_workspace"
| "resource_sharing"
| "joint_task"
| "knowledge_exchange",
spatialArrangement: SpatialArrangement,
duration: number,
): Promise<string> {
const proposal: CollaborationProposal = {
proposalId: `collab_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
type: "collaboration_request",
proposer: initiatorId,
targetAgents: participantIds,
spatialRequirements: [
{
type: "proximity",
constraint: { arrangement: spatialArrangement },
mandatory: true,
weight: 1.0,
},
],
resourceRequirements: this.calculateCollaborationResources(
participantIds,
collaborationType,
),
consensusDeadline: new Date(Date.now() + this.config.consensusTimeout),
priority: "normal",
collaborationType,
requiredParticipants: participantIds,
spatialArrangement,
duration,
};
return await this.initiateConsensus(proposal);
}
/**
* Vote on a spatial consensus proposal
*/
async voteOnProposal(
proposalId: string,
voterId: string,
vote: "accept" | "reject" | "abstain" | "conditional",
reasoning: string,
conditions?: ConditionalRequirement[],
): Promise<void> {
const proposal = this.activeProposals.get(proposalId);
if (!proposal) {
throw new Error(`Proposal not found: ${proposalId}`);
}
const voter = this.spatialAgents.get(voterId);
if (!voter) {
throw new Error(`Voter not found: ${voterId}`);
}
const spatialVote: SpatialConsensusVote = {
proposalId,
voter: voterId,
vote,
reasoning,
conditions: conditions || [],
timestamp: new Date(),
signature: this.signVote(proposalId, voterId, vote),
};
// Store vote
if (!this.votingRecords.has(proposalId)) {
this.votingRecords.set(proposalId, []);
}
this.votingRecords.get(proposalId)!.push(spatialVote);
// Check if consensus is reached
await this.checkConsensusCompletion(proposalId);
this.logger.debug("Vote recorded", {
proposalId,
voter: voterId,
vote,
reasoning,
});
this.emit("vote_cast", spatialVote);
}
/**
* Detect spatial conflicts
*/
async detectSpatialConflicts(): Promise<SpatialConflict[]> {
const conflicts: SpatialConflict[] = [];
const agents = Array.from(this.spatialAgents.values());
// Check for location overlaps
for (let i = 0; i < agents.length; i++) {
for (let j = i + 1; j < agents.length; j++) {
const conflict = this.checkAgentConflict(agents[i], agents[j]);
if (conflict) {
conflicts.push(conflict);
}
}
}
// Check for resource contentions
const resourceConflicts = this.checkResourceConflicts();
conflicts.push(...resourceConflicts);
// Store detected conflicts
for (const conflict of conflicts) {
this.spatialConflicts.set(conflict.id, conflict);
}
this.metrics.conflictsDetected += conflicts.length;
if (conflicts.length > 0) {
this.logger.warn("Spatial conflicts detected", {
count: conflicts.length,
types: conflicts.map((c) => c.type),
});
}
return conflicts;
}
/**
* Resolve spatial conflicts automatically
*/
async resolveConflicts(conflictIds: string[]): Promise<ConflictResolution[]> {
const resolutions: ConflictResolution[] = [];
for (const conflictId of conflictIds) {
const conflict = this.spatialConflicts.get(conflictId);
if (!conflict) continue;
try {
const resolution = await this.generateConflictResolution(conflict);
if (resolution) {
await this.implementResolution(resolution);
resolutions.push(resolution);
// Mark conflict as resolved
this.spatialConflicts.delete(conflictId);
this.metrics.conflictsResolved++;
}
} catch (error) {
this.logger.error("Failed to resolve conflict", {
conflictId,
error: error.message,
});
}
}
return resolutions;
}
/**
* Get consensus metrics
*/
getMetrics(): SpatialConsensusMetrics {
// Calculate current spatial efficiency
this.metrics.spatialEfficiency = this.calculateSpatialEfficiency();
this.metrics.resourceUtilization = this.calculateResourceUtilization();
return { ...this.metrics };
}
/**
* Get current spatial state
*/
getSpatialState() {
return {
agents: Array.from(this.spatialAgents.values()),
activeProposals: Array.from(this.activeProposals.values()),
conflicts: Array.from(this.spatialConflicts.values()),
zones: Array.from(this.zoneStates.values()),
resourceAllocations: Array.from(this.resourceAllocations.values()),
};
}
/**
* Private helper methods
*/
private setupBaseConsensusHandlers(): void {
this.baseConsensus.on("consensus-reached", (proposal) => {
this.handleBaseConsensusResult(proposal, true);
});
this.baseConsensus.on("consensus-error", (error) => {
this.logger.error("Base consensus error", error);
});
this.baseConsensus.on("view-change-initiated", (view) => {
this.logger.info("Consensus view change initiated", { view });
});
}
private async initiateConsensus(
proposal: SpatialConsensusProposal,
): Promise<string> {
this.activeProposals.set(proposal.proposalId, proposal);
this.metrics.totalProposals++;
// Create base consensus proposal
const baseProposal: ConsensusProposal = {
id: proposal.proposalId,
content: proposal,
proposerId: proposal.proposer,
timestamp: new Date(),
hash: this.hashProposal(proposal),
};
try {
// Start base consensus process
const success = await this.baseConsensus.startConsensus(baseProposal);
if (!success) {
this.activeProposals.delete(proposal.proposalId);
throw new Error("Failed to initiate consensus");
}
this.logger.info("Spatial consensus initiated", {
proposalId: proposal.proposalId,
type: proposal.type,
proposer: proposal.proposer,
});
this.emit("consensus_started", {
id: `evt_${Date.now()}`,
type: "consensus_started",
source: "spatial_consensus",
timestamp: new Date(),
data: proposal,
severity: "info",
} as AgentSpaceEvent);
return proposal.proposalId;
} catch (error) {
this.activeProposals.delete(proposal.proposalId);
throw error;
}
}
private async checkConsensusCompletion(proposalId: string): Promise<void> {
const proposal = this.activeProposals.get(proposalId);
const votes = this.votingRecords.get(proposalId);
if (!proposal || !votes) return;
const totalAgents = this.spatialAgents.size;
const requiredVotes = Math.ceil(totalAgents * this.config.quorumThreshold);
if (votes.length >= requiredVotes) {
const result = this.calculateConsensusResult(proposal, votes);
await this.finalizeConsensus(proposal, result);
}
}
private calculateConsensusResult(
proposal: SpatialConsensusProposal,
votes: SpatialConsensusVote[],
): SpatialConsensusResult {
const acceptVotes = votes.filter((v) => v.vote === "accept").length;
const rejectVotes = votes.filter((v) => v.vote === "reject").length;
const conditionalVotes = votes.filter((v) => v.vote === "conditional");
let decision: "approved" | "rejected" | "timeout" | "cancelled";
if (acceptVotes > votes.length / 2) {
decision = "approved";
} else if (rejectVotes > votes.length / 2) {
decision = "rejected";
} else {
// Handle conditional votes
decision = conditionalVotes.length > 0 ? "approved" : "rejected";
}
const result: SpatialConsensusResult = {
proposalId: proposal.proposalId,
decision,
votes,
finalConfiguration: this.buildFinalConfiguration(
proposal,
conditionalVotes,
),
implementationPlan: this.buildImplementationPlan(proposal, decision),
validUntil: new Date(Date.now() + 3600000), // Valid for 1 hour
};
return result;
}
private async finalizeConsensus(
proposal: SpatialConsensusProposal,
result: SpatialConsensusResult,
): Promise<void> {
this.consensusResults.set(proposal.proposalId, result);
this.activeProposals.delete(proposal.proposalId);
if (result.decision === "approved") {
this.metrics.approvedProposals++;
await this.implementConsensusResult(result);
} else {
this.metrics.rejectedProposals++;
}
this.logger.info("Spatial consensus finalized", {
proposalId: proposal.proposalId,
decision: result.decision,
votes: result.votes.length,
});
this.emit("consensus_completed", {
id: `evt_${Date.now()}`,
type: "consensus_completed",
source: "spatial_consensus",
timestamp: new Date(),
data: { proposal, result },
severity: "info",
} as AgentSpaceEvent);
}
private async implementConsensusResult(
result: SpatialConsensusResult,
): Promise<void> {
const proposal = this.consensusResults.get(result.proposalId);
if (!proposal) return;
try {
for (const step of result.implementationPlan) {
await this.executeImplementationStep(step);
}
this.logger.info("Consensus result implemented", {
proposalId: result.proposalId,
steps: result.implementationPlan.length,
});
} catch (error) {
this.logger.error("Failed to implement consensus result", {
proposalId: result.proposalId,
error: error.message,
});
}
}
private async executeImplementationStep(
step: ImplementationStep,
): Promise<void> {
this.logger.debug("Executing implementation step", {
step: step.step,
action: step.action,
agents: step.targetAgents,
});
// Implementation would execute the specific action
// For location changes, resource allocations, etc.
}
private async detectLocationConflicts(
agentId: string,
targetLocation: Vector3D,
): Promise<SpatialConflict[]> {
const conflicts: SpatialConflict[] = [];
const agent = this.spatialAgents.get(agentId);
if (!agent) return conflicts;
// Check against other agents
for (const [otherId, otherAgent] of this.spatialAgents) {
if (otherId === agentId) continue;
const distance = this.calculateDistance(
targetLocation,
otherAgent.location,
);
const minDistance = this.config.spatialTolerance;
if (distance < minDistance) {
conflicts.push({
id: `conflict_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
type: "location_overlap",
involvedAgents: [agentId, otherId],
severity: distance < minDistance / 2 ? "high" : "medium",
detectedAt: new Date(),
spatialData: { distance, minDistance, targetLocation },
autoResolvable: true,
});
}
}
return conflicts;
}
private getAffectedAgents(
location: Vector3D,
boundingBox: BoundingBox,
): string[] {
const affected: string[] = [];
const influenceRadius =
Math.max(boundingBox.max.x, boundingBox.max.y, boundingBox.max.z) * 2;
for (const [agentId, agent] of this.spatialAgents) {
const distance = this.calculateDistance(location, agent.location);
if (distance <= influenceRadius) {
affected.push(agentId);
}
}
return affected;
}
private calculateMovementTime(from: Vector3D, to: Vector3D): number {
const distance = this.calculateDistance(from, to);
const speed = 5; // units per second
return (distance / speed) * 1000; // milliseconds
}
private analyzeResourceImpact(
agent: SpatialAgent,
targetLocation: Vector3D,
): ResourceRequirement[] {
// Analyze how movement affects resource requirements
const distance = this.calculateDistance(agent.location, targetLocation);
const movementCost = distance * 0.1; // Energy cost per unit distance
return [
{
resourceType: "energy",
amount: movementCost,
duration: this.calculateMovementTime(agent.location, targetLocation),
sharable: false,
},
];
}
private getResourceContenders(
resourceType: string,
amount: number,
): string[] {
const contenders: string[] = [];
for (const [agentId, agent] of this.spatialAgents) {
for (const requirement of agent.resourceRequirements) {
if (
requirement.resourceType === resourceType &&
requirement.amount > 0
) {
contenders.push(agentId);
break;
}
}
}
return contenders;
}
private determineResourcePriority(
resourceType: string,
amount: number,
): "low" | "normal" | "high" | "critical" {
// Critical resources get high priority
if (resourceType === "energy" || resourceType === "memory") {
return amount > 1000 ? "critical" : "high";
}
return "normal";
}
private generateResourceFallbacks(
resourceType: string,
amount: number,
): ResourceRequirement[] {
return [
{
resourceType,
amount: amount * 0.8, // 20% reduction as fallback
duration: 0,
sharable: true,
},
];
}
private getZoneStakeholders(zone: SpatialZone): string[] {
const stakeholders: string[] = [];
// Find agents currently in the zone
for (const [agentId, agent] of this.spatialAgents) {
if (this.isLocationInZone(agent.location, zone)) {
stakeholders.push(agentId);
}
}
return stakeholders;
}
private determineZoneAccessPriority(
accessType: "enter" | "exit" | "modify" | "create",
): "low" | "normal" | "high" | "critical" {
switch (accessType) {
case "exit":
return "high"; // Exiting should be easy
case "enter":
return "normal";
case "modify":
return "high";
case "create":
return "critical";
default:
return "normal";
}
}
private calculateCollaborationResources(
participantIds: string[],
collaborationType: string,
): ResourceRequirement[] {
const baseResourceCost = participantIds.length * 10;
return [
{
resourceType: "computational",
amount: baseResourceCost,
duration: 3600000, // 1 hour
sharable: true,
},
];
}
private checkAgentConflict(
agent1: SpatialAgent,
agent2: SpatialAgent,
): SpatialConflict | null {
const distance = this.calculateDistance(agent1.location, agent2.location);
if (distance < this.config.spatialTolerance) {
return {
id: `conflict_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
type: "location_overlap",
involvedAgents: [agent1.id, agent2.id],
severity:
distance < this.config.spatialTolerance / 2 ? "high" : "medium",
detectedAt: new Date(),
spatialData: { distance, agents: [agent1, agent2] },
autoResolvable: true,
};
}
return null;
}
private checkResourceConflicts(): SpatialConflict[] {
const conflicts: SpatialConflict[] = [];
const resourceMap = new Map<string, string[]>(); // Resource -> Agent IDs
// Group agents by resource requirements
for (const [agentId, agent] of this.spatialAgents) {
for (const requirement of agent.resourceRequirements) {
if (!requirement.sharable) {
if (!resourceMap.has(requirement.resourceType)) {
resourceMap.set(requirement.resourceType, []);
}
resourceMap.get(requirement.resourceType)!.push(agentId);
}
}
}
// Find conflicts
for (const [resourceType, agentIds] of resourceMap) {
if (agentIds.length > 1) {
conflicts.push({
id: `res_conflict_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
type: "resource_contention",
involvedAgents: agentIds,
severity: agentIds.length > 3 ? "high" : "medium",
detectedAt: new Date(),
spatialData: { resourceType, demandingAgents: agentIds },
autoResolvable: false,
});
}
}
return conflicts;
}
private async generateConflictResolution(
conflict: SpatialConflict,
): Promise<ConflictResolution | null> {
switch (conflict.type) {
case "location_overlap":
return this.resolveLocationOverlap(conflict);
case "resource_contention":
return this.resolveResourceContention(conflict);
default:
return null;
}
}
private resolveLocationOverlap(
conflict: SpatialConflict,
): ConflictResolution {
const [agent1Id, agent2Id] = conflict.involvedAgents;
const agent1 = this.spatialAgents.get(agent1Id)!;
const agent2 = this.spatialAgents.get(agent2Id)!;
// Lower priority agent moves
const movingAgent =
agent1.spatialPriority >= agent2.spatialPriority ? agent2 : agent1;
const newLocation = this.findNearbyFreeLocation(movingAgent.location);
return {
conflictId: conflict.id,
strategy: "avoidance",
actions: [
{
agentId: movingAgent.id,
actionType: "move",
parameters: { targetLocation: newLocation },
timing: { start: new Date(), duration: 5000 },
conditions: [],
},
],
expectedOutcome: { conflictResolved: true },
implementationOrder: [0],
};
}
private resolveResourceContention(
conflict: SpatialConflict,
): ConflictResolution {
const agentIds = conflict.involvedAgents;
const actions: ResolutionAction[] = [];
// Implement temporal separation
agentIds.forEach((agentId, index) => {
actions.push({
agentId,
actionType: "wait",
parameters: { delay: index * 10000 }, // Stagger by 10 seconds
timing: {
start: new Date(Date.now() + index * 10000),
duration: 10000,
},
conditions: [
`other_agents_finished:${agentIds.filter((_, i) => i < index).join(",")}`,
],
});
});
return {
conflictId: conflict.id,
strategy: "temporal_separation",
actions,
expectedOutcome: { resourceSharing: true },
implementationOrder: Array.from({ length: actions.length }, (_, i) => i),
};
}
private async implementResolution(
resolution: ConflictResolution,
): Promise<void> {
this.logger.info("Implementing conflict resolution", {
conflictId: resolution.conflictId,
strategy: resolution.strategy,
actions: resolution.actions.length,
});
// Implementation would execute the resolution actions
for (const action of resolution.actions) {
await this.executeResolutionAction(action);
}
}
private async executeResolutionAction(
action: ResolutionAction,
): Promise<void> {
this.logger.debug("Executing resolution action", {
agentId: action.agentId,
actionType: action.actionType,
parameters: action.parameters,
});
// Implementation would execute the specific action
}
private calculateDistance(pos1: Vector3D, pos2: Vector3D): number {
const dx = pos1.x - pos2.x;
const dy = pos1.y - pos2.y;
const dz = pos1.z - pos2.z;
return Math.sqrt(dx * dx + dy * dy + dz * dz);
}
private isLocationInZone(location: Vector3D, zone: SpatialZone): boolean {
const bounds = zone.boundaries;
return (
location.x >= bounds.min.x &&
location.x <= bounds.max.x &&
location.y >= bounds.min.y &&
location.y <= bounds.max.y &&
location.z >= bounds.min.z &&
location.z <= bounds.max.z
);
}
private findNearbyFreeLocation(currentLocation: Vector3D): Vector3D {
// Simple algorithm to find a nearby free location
const offset = this.config.spatialTolerance * 2;
const attempts = [
{
x: currentLocation.x + offset,
y: currentLocation.y,
z: currentLocation.z,
},
{
x: currentLocation.x - offset,
y: currentLocation.y,
z: currentLocation.z,
},
{
x: currentLocation.x,
y: currentLocation.y + offset,
z: currentLocation.z,
},
{
x: currentLocation.x,
y: currentLocation.y - offset,
z: currentLocation.z,
},
];
for (const attempt of attempts) {
if (this.isLocationFree(attempt)) {
return attempt;
}
}
// Fallback: return location with random offset
return {
x: currentLocation.x + (Math.random() - 0.5) * offset * 4,
y: currentLocation.y + (Math.random() - 0.5) * offset * 4,
z: currentLocation.z + (Math.random() - 0.5) * offset * 4,
};
}
private isLocationFree(location: Vector3D): boolean {
for (const agent of this.spatialAgents.values()) {
const distance = this.calculateDistance(location, agent.location);
if (distance < this.config.spatialTolerance) {
return false;
}
}
return true;
}
private calculateSpatialEfficiency(): number {
if (this.spatialAgents.size === 0) return 1.0;
let totalConflicts = this.spatialConflicts.size;
let possibleConflicts =
(this.spatialAgents.size * (this.spatialAgents.size - 1)) / 2;
return Math.max(0, 1 - totalConflicts / possibleConflicts);
}
private calculateResourceUtilization(): number {
// Simplified resource utilization calculation
let totalAllocated = this.resourceAllocations.size;
let totalCapacity = this.spatialAgents.size * 10; // Assume each agent has 10 resource units
return Math.min(1.0, totalAllocated / totalCapacity);
}
private signVote(proposalId: string, voterId: string, vote: string): string {
// Simplified signature - would use proper cryptographic signing
return `${proposalId}_${voterId}_${vote}_${Date.now()}`;
}
private hashProposal(proposal: SpatialConsensusProposal): string {
// Simplified hash - would use proper cryptographic hashing
return `hash_${proposal.proposalId}_${proposal.type}`;
}
private handleBaseConsensusResult(proposal: any, success: boolean): void {
this.logger.debug("Base consensus result received", {
proposalId: proposal.id,
success,
});
}
private buildFinalConfiguration(
proposal: SpatialConsensusProposal,
conditionalVotes: SpatialConsensusVote[],
): any {
// Build final configuration incorporating conditional requirements
let config = { ...proposal };
for (const vote of conditionalVotes) {
if (vote.conditions) {
for (const condition of vote.conditions) {
// Apply conditional modifications
config = { ...config, [condition.condition]: condition.requirement };
}
}
}
return config;
}
private buildImplementationPlan(
proposal: SpatialConsensusProposal,
decision: string,
): ImplementationStep[] {
if (decision !== "approved") return [];
const steps: ImplementationStep[] = [];
switch (proposal.type) {
case "location_change":
steps.push({
step: 1,
action: "move_agent",
targetAgents: [proposal.proposer],
dependencies: [],
estimatedDuration: 5000,
rollbackPlan: "return_to_original_location",
});
break;
case "resource_allocation":
steps.push({
step: 1,
action: "allocate_resource",
targetAgents: proposal.targetAgents,
dependencies: [],
estimatedDuration: 1000,
rollbackPlan: "deallocate_resource",
});
break;
}
return steps;
}
/**
* Shutdown consensus system
*/
async shutdown(): Promise<void> {
this.spatialAgents.clear();
this.activeProposals.clear();
this.votingRecords.clear();
this.spatialConflicts.clear();
this.consensusResults.clear();
this.resourceAllocations.clear();
this.zoneStates.clear();
this.logger.info("Byzantine Spatial Consensus shutdown complete");
}
}
interface ResourceAllocation {
id: string;
resourceType: string;
amount: number;
allocatedTo: string;
startTime: Date;
duration: number;
exclusive: boolean;
}