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Capture and surface the collective wisdom of your codebase

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# LoreHub Sync Engine Architecture > A comprehensive design for distributed knowledge synchronization ## Overview The LoreHub Sync Engine enables teams to share and synchronize their collective codebase wisdom across devices, team members, and projects while maintaining the local-first philosophy that makes LoreHub fast and reliable. ## Core Design Principles 1. **Local-First**: Full functionality without network connectivity 2. **Eventually Consistent**: Converge to the same state given enough time 3. **Privacy-Preserving**: Selective sync with encryption options 4. **Conflict-Aware**: Intelligent resolution with manual override capability 5. **Performance-Optimized**: Minimal bandwidth and storage overhead ## Architecture Components ### 1. Change Tracking Layer ```typescript interface ChangeEvent { id: string; // UUID entityId: string; // Lore/Realm/Relation ID entityType: 'lore' | 'realm' | 'relation'; operation: 'create' | 'update' | 'delete' | 'archive'; timestamp: Date; vectorClock: VectorClock; userId: string; deviceId: string; changes: Record<string, any>; // Field-level changes checksum: string; // For integrity verification } class ChangeLog { // Append-only log of all local changes private changes: ChangeEvent[] = []; // Merkle tree for efficient diff detection private merkleTree: MerkleTree; // Track last sync position per remote private syncPositions: Map<RemoteId, Position>; } ``` ### 2. Sync State Manager ```typescript interface SyncState { localVersion: string; // Local database version remotes: Map<RemoteId, RemoteState>; syncQueue: SyncOperation[]; conflicts: ConflictRecord[]; lastSyncAttempt: Date; nextSyncScheduled: Date; } interface RemoteState { id: string; endpoint: string; lastSyncSuccess: Date; lastKnownVersion: string; vectorClock: VectorClock; status: 'connected' | 'disconnected' | 'error'; pendingChanges: number; } ``` ### 3. Conflict Resolution Engine ```typescript interface ConflictResolver { // Resolution strategies strategies: { lastWriteWins: (local: Lore, remote: Lore) => Lore; threeWayMerge: (base: Lore, local: Lore, remote: Lore) => Lore; manualResolution: (conflict: Conflict) => Promise<Lore>; fieldLevel: (conflicts: FieldConflict[]) => Record<string, any>; }; // Resolution rules by entity type rules: { lore: { content: 'threeWayMerge', confidence: 'lastWriteWins', relations: 'union', provinces: 'union', sigils: 'union' }; }; } ``` ### 4. Transport Layer ```typescript interface SyncTransport { // Core sync operations pull(remote: RemoteId, since: Position): Promise<ChangeSet>; push(remote: RemoteId, changes: ChangeSet): Promise<SyncResult>; // Optimization features negotiateProtocol(remote: RemoteId): Promise<Protocol>; compress(data: ChangeSet): CompressedData; encrypt(data: any, publicKey: string): EncryptedData; // Connection management connect(endpoint: string, credentials: Credentials): Promise<Connection>; disconnect(remote: RemoteId): Promise<void>; // Real-time features subscribe(remote: RemoteId, callback: ChangeCallback): Subscription; } ``` ### 5. Storage Adapters ```typescript interface StorageAdapter { // Different backend implementations git: GitStorageAdapter; // Uses git as sync backend cloud: CloudStorageAdapter; // S3/GCS with metadata p2p: P2PStorageAdapter; // Direct device-to-device server: ServerStorageAdapter; // Central PostgreSQL/MySQL } // Example: Git-based sync class GitStorageAdapter implements StorageAdapter { async push(changes: ChangeSet): Promise<void> { // Store changes as git objects // Use git's natural conflict resolution // Leverage existing git infrastructure } async pull(since: Commit): Promise<ChangeSet> { // Read git history since commit // Parse changes from commits // Build changeset } } ``` ## Data Flow ### Sync Process ```mermaid sequenceDiagram participant Local as Local DB participant ChangeLog as Change Log participant SyncMgr as Sync Manager participant Transport as Transport participant Remote as Remote Storage Local->>ChangeLog: Write operation ChangeLog->>ChangeLog: Append event ChangeLog->>SyncMgr: Notify change SyncMgr->>Transport: Initiate sync Transport->>Remote: Pull changes Remote-->>Transport: Remote changeset Transport->>SyncMgr: Receive changes SyncMgr->>SyncMgr: Detect conflicts SyncMgr->>SyncMgr: Resolve conflicts SyncMgr->>Local: Apply changes SyncMgr->>Transport: Push local changes Transport->>Remote: Store changes ``` ## Implementation Phases ### Phase 1: Foundation (2-3 weeks) - [ ] Implement change tracking table and triggers - [ ] Create ChangeLog service with event capture - [ ] Add vector clock implementation - [ ] Build basic sync state management ### Phase 2: Git-based Sync (3-4 weeks) - [ ] Implement GitStorageAdapter - [ ] Add sync command to CLI - [ ] Create conflict detection logic - [ ] Build simple last-write-wins resolution ### Phase 3: Conflict Resolution (2-3 weeks) - [ ] Implement three-way merge for content - [ ] Add field-level conflict resolution - [ ] Create CLI conflict resolution UI - [ ] Add manual override capability ### Phase 4: Cloud Sync (3-4 weeks) - [ ] Build CloudStorageAdapter (S3/GCS) - [ ] Add authentication/authorization - [ ] Implement encryption layer - [ ] Create web dashboard for sync status ### Phase 5: Advanced Features (4-5 weeks) - [ ] P2P sync implementation - [ ] Real-time sync with WebSockets - [ ] Selective sync by realm/province - [ ] Sync performance optimizations ## Security Considerations ### Encryption - End-to-end encryption option for sensitive lores - Per-realm encryption keys - Key rotation support ### Access Control - Fine-grained permissions (read/write/admin) - Realm-level access control - Province-based filtering ### Audit Trail - Complete sync history - Who changed what and when - Rollback capabilities ## Performance Optimizations ### Delta Sync - Only transfer changed fields - Binary diff for large content - Compression before transfer ### Batch Operations - Group multiple changes - Reduce network round trips - Transaction-like semantics ### Smart Scheduling - Adaptive sync frequency - Network-aware scheduling - Battery-conscious on mobile ## Conflict Resolution Strategies ### Last Write Wins (LWW) - Simple, deterministic - Good for metadata fields - Uses vector clocks for ordering ### Three-Way Merge - For content fields - Preserves both changes when possible - Falls back to manual resolution ### Union Strategy - For arrays (provinces, sigils) - Combines values from both sides - Removes duplicates ### Manual Resolution - Complex conflicts - User preference - Maintains conflict history ## Future Enhancements ### 1. AI-Powered Sync - Intelligent conflict resolution - Predictive sync scheduling - Anomaly detection in sync patterns ### 2. Federation Support - Cross-organization sync - Public lore repositories - Lore marketplace ### 3. Advanced Analytics - Sync performance metrics - Collaboration patterns - Knowledge flow visualization ### 4. Mobile Support - React Native client - Offline-first mobile app - Push notifications ## Configuration ```json { "sync": { "enabled": true, "mode": "manual" | "automatic", "interval": 300000, // 5 minutes "backends": [ { "type": "git", "remote": "origin", "branch": "lorehub-sync" }, { "type": "cloud", "provider": "s3", "bucket": "team-lorehub", "region": "us-east-1" } ], "encryption": { "enabled": true, "algorithm": "aes-256-gcm" }, "conflicts": { "autoResolve": true, "strategy": "lastWriteWins", "requireConfirmation": true } } } ``` ## Error Handling ### Network Failures - Exponential backoff with jitter - Offline queue persistence - Automatic retry on reconnection ### Data Corruption - Checksum verification - Automatic rollback - Manual recovery tools ### Version Conflicts - Protocol negotiation - Backward compatibility - Migration helpers ## Testing Strategy ### Unit Tests - Change tracking accuracy - Conflict resolution logic - Merkle tree operations ### Integration Tests - End-to-end sync flows - Multi-device scenarios - Network failure simulation ### Performance Tests - Large dataset sync - High-frequency changes - Bandwidth optimization ## Monitoring & Observability ### Metrics - Sync success/failure rates - Conflict frequency - Sync duration - Data transfer volumes ### Logging - Detailed sync operations - Conflict resolution decisions - Error conditions ### Alerts - Sync failures - High conflict rates - Performance degradation --- This architecture provides a solid foundation for implementing distributed synchronization in LoreHub while maintaining its core values of simplicity, performance, and local-first operation.