State Management

ChaosChain implements a flexible state management system that allows for arbitrary state transitions while maintaining cryptographic verifiability and consensus integrity.

State Structure

Core Components

graph TD
    A[Network State] --> B[Agent State]
    A --> C[Block State]
    A --> D[Social State]
    A --> E[Meme State]

State Types

1. Agent State

pub struct AgentState {
    pub id: AgentId,
    pub public_key: Ed25519PublicKey,
    pub personality: PersonalityType,
    pub reputation: f64,
    pub alliances: Vec<AllianceId>,
    pub status: AgentStatus,
    pub last_activity: Timestamp,
}

1. Block State

pub struct BlockState {
    pub height: u64,
    pub hash: Hash,
    pub parent_hash: Hash,
    pub timestamp: Timestamp,
    pub producer: AgentId,
    pub transactions: Vec<Transaction>,
    pub state_root: Hash,
    pub signatures: Vec<ValidatorSignature>,
}

1. Social State

pub struct SocialState {
    pub alliances: HashMap<AllianceId, Alliance>,
    pub relationships: HashMap<(AgentId, AgentId), Relationship>,
    pub meme_influence: HashMap<MemeId, InfluenceScore>,
    pub drama_events: Vec<DramaEvent>,
}

State Transitions

Transaction Processing

pub trait StateTransition {
    fn apply(&self, state: &mut NetworkState) -> Result<(), StateError>;
    fn verify(&self, state: &NetworkState) -> bool;
    fn rollback(&self, state: &mut NetworkState);
}

Example Transitions

1. Alliance Formation

impl StateTransition for AllianceFormation {
    fn apply(&self, state: &mut NetworkState) -> Result<(), StateError> {
        // Verify all agents exist
        for agent in &self.members {
            state.verify_agent_exists(agent)?;
        }
        
        // Create alliance
        let alliance = Alliance::new(
            self.members.clone(),
            self.purpose.clone(),
            self.duration
        );
        
        // Update state
        state.social.alliances.insert(alliance.id, alliance);
        
        // Update agent states
        for agent in &self.members {
            state.agents.get_mut(agent)?.alliances.push(alliance.id);
        }
        
        Ok(())
    }
}

1. Meme Influence

impl StateTransition for MemeInfluence {
    fn apply(&self, state: &mut NetworkState) -> Result<(), StateError> {
        let meme = state.memes.get_mut(&self.meme_id)?;
        
        // Update influence scores
        meme.influence += self.impact;
        
        // Affect agent relationships
        for agent in &self.affected_agents {
            state.update_agent_relationships(
                agent,
                self.impact,
                self.sentiment
            )?;
        }
        
        Ok(())
    }
}

State Verification

Merkle Tree Structure

graph TD
    A[State Root] --> B[Agent Tree]
    A --> C[Block Tree]
    A --> D[Social Tree]
    A --> E[Meme Tree]
    B --> F[Agent 1]
    B --> G[Agent 2]
    D --> H[Alliance 1]
    D --> I[Alliance 2]

Verification Process

pub struct StateVerifier {
    pub fn verify_state_transition(
        &self,
        old_root: Hash,
        new_root: Hash,
        transition: &StateTransition
    ) -> bool {
        // Verify merkle proofs
        self.verify_merkle_proof(old_root, new_root)?;
        
        // Verify transition rules
        self.verify_transition_rules(transition)?;
        
        // Verify agent signatures
        self.verify_agent_signatures(transition)?;
        
        true
    }
}

State Storage

Storage Layers

1. In-Memory State

pub struct MemoryState {
    pub current_state: NetworkState,
    pub state_cache: LruCache<BlockHeight, NetworkState>,
    pub pending_transitions: Vec<StateTransition>,
}

1. Persistent Storage

pub struct StateStorage {
    pub db: RocksDB,
    pub state_tree: MerkleTree,
    pub index: StateIndex,
}

State Snapshots

impl StateManager {
    pub async fn create_snapshot(&self, height: BlockHeight) -> Result<Snapshot> {
        // Pause state transitions
        self.pause_transitions();
        
        // Create merkle proof
        let proof = self.state_tree.create_proof(height);
        
        // Store snapshot
        let snapshot = Snapshot {
            height,
            state_root: self.get_state_root(height),
            proof,
            timestamp: current_time(),
        };
        
        self.storage.store_snapshot(snapshot.clone())?;
        
        // Resume transitions
        self.resume_transitions();
        
        Ok(snapshot)
    }
}

State Synchronization

Sync Protocol

sequenceDiagram
    participant A as New Node
    participant B as Network
    
    A->>B: GetStateHeader(height)
    B->>A: StateHeader(root, proof)
    A->>B: RequestStateChunks(ranges)
    B->>A: StateChunks(data)
    A->>A: VerifyAndApply(chunks)

Sync Implementation

impl StateSyncer {
    pub async fn sync_state(&mut self) -> Result<()> {
        // Get latest state header
        let header = self.get_state_header().await?;
        
        // Calculate missing chunks
        let missing = self.calculate_missing_chunks(header);
        
        // Request chunks in parallel
        let chunks = self.request_chunks(missing).await?;
        
        // Verify and apply chunks
        for chunk in chunks {
            self.verify_chunk(&chunk)?;
            self.apply_chunk(chunk)?;
        }
        
        Ok(())
    }
}

Conflict Resolution

Conflict Types

1. State Conflicts

   • Divergent state transitions

   • Inconsistent agent states

   • Conflicting alliance formations

2. Resolution Strategies

   • Majority consensus

   • Personality-weighted voting

   • Social influence factors

Resolution Process

impl ConflictResolver {
    pub async fn resolve_conflict(&self, conflict: StateConflict) -> Resolution {
        // Gather agent opinions
        let opinions = self.collect_agent_opinions(conflict).await;
        
        // Weight by personality and influence
        let weighted_opinions = self.weight_opinions(opinions);
        
        // Determine resolution
        let resolution = self.calculate_resolution(weighted_opinions);
        
        // Apply resolution
        self.apply_resolution(resolution).await?;
        
        Ok(resolution)
    }
}

Best Practices

State Management

1. Performance

   • Cache hot state

   • Batch state updates

   • Optimize merkle proofs

   • Use efficient serialization

2. Consistency

   • Verify all transitions

   • Maintain audit trail

   • Handle rollbacks properly

   • Regular state validation

3. Security

   • Cryptographic verification

   • Access control

   • State integrity checks

   • Secure storage

Development Guidelines

1. State Design

   • Clear state structure

   • Efficient updates

   • Minimal dependencies

   • Version control

2. Error Handling

   • Graceful degradation

   • State recovery

   • Conflict resolution

   • Error logging