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Phase 4: Offline Data Management & Conflict Resolution #68

@kevalyq

Description

@kevalyq

🔄 Goal

Implement robust offline data management with conflict resolution strategies to ensure data integrity and seamless synchronization when connectivity is restored.


📋 Core Features

1. Optimistic UI Updates

Purpose: Provide instant feedback for user actions, even when offline

Tasks:

  • Implement optimistic update pattern for all mutations
  • Show pending state in UI during sync
  • Rollback UI on sync failure
  • Add visual indicators for pending operations
  • Test optimistic updates across all features

Example Flow:

User action → Update UI immediately → Queue sync → Show pending badge
→ Sync when online → Confirm or rollback

2. Conflict Detection

Purpose: Identify when local and remote data diverge

Tasks:

  • Implement version tracking for entities
  • Detect conflicts during sync
  • Store conflict metadata (timestamps, user, changes)
  • Add conflict markers in data structures
  • Create conflict detection algorithm

Conflict Types:

  • Update-Update: Same entity modified offline and online
  • Delete-Update: Entity deleted online but modified offline
  • Create-Create: Duplicate creation with different IDs

3. Conflict Resolution Strategies

Purpose: Resolve data conflicts automatically or with user input

Tasks:

  • Last-Write-Wins (LWW): Timestamp-based resolution
  • Manual Resolution: User chooses which version to keep
  • Merge Strategy: Combine non-conflicting fields
  • Custom Resolvers: Per-entity-type resolution logic
  • Create conflict resolution UI
  • Test all resolution strategies

Resolution UI:

┌─────────────────────────────────────┐
│ 🔀 Conflict Detected                │
├─────────────────────────────────────┤
│ Local Version (Offline Changes)    │
│ ├─ Field1: "Value A"                │
│ ├─ Field2: "Value B"                │
│ └─ Modified: 2h ago                 │
│                                     │
│ Remote Version (Server)             │
│ ├─ Field1: "Value X"                │
│ ├─ Field2: "Value B"                │
│ └─ Modified: 1h ago                 │
│                                     │
│ [Keep Local] [Keep Remote] [Merge] │
└─────────────────────────────────────┘

4. Sync Queue with Retry Logic

Purpose: Reliably sync operations with intelligent retry

Tasks:

  • Implement priority queue for sync operations
  • Add exponential backoff for failed syncs
  • Dead letter queue for persistent failures
  • Sync operation logging
  • Batch sync for efficiency
  • Test retry under various network conditions

Retry Strategy:

Attempt 1: Immediate
Attempt 2: 5s delay
Attempt 3: 30s delay
Attempt 4: 2m delay
Attempt 5: 10m delay
→ Move to dead letter queue

5. Data Versioning

Purpose: Track data changes for history and conflict resolution

Tasks:

  • Add version field to all entities
  • Implement vector clocks or hybrid logical clocks
  • Store change history in IndexedDB
  • Provide version diff functionality
  • Implement data rollback capability

Version Structure:

interface VersionedEntity {
  id: string;
  version: number;
  lastModified: Date;
  modifiedBy: string;
  changeHistory: Change[];
  data: any;
}

6. Migration Strategies

Purpose: Handle schema changes without data loss

Tasks:

  • Define migration framework
  • Version database schema
  • Implement migration functions
  • Test migrations with real data
  • Add migration rollback capability

7. UI Indicators

Purpose: Keep users informed about sync status

Tasks:

  • Sync status badge (synced, pending, failed)
  • Operation counter (X pending operations)
  • Last sync timestamp
  • Conflict notification center
  • Sync progress indicators

Status Icons:

  • ✅ Synced
  • 🔄 Syncing
  • ⏳ Pending
  • ⚠️ Conflict
  • ❌ Failed

8. State Persistence

Purpose: Maintain app state across sessions

Tasks:

  • Save UI state to IndexedDB on changes
  • Restore state on app load
  • Handle partial state restoration
  • Implement state migration
  • Test persistence across browser restarts

🧪 Testing Strategy

Unit Tests

  • Conflict detection algorithms
  • Resolution strategies
  • Retry logic
  • Version comparison

Integration Tests

  • End-to-end sync flows
  • Conflict resolution workflows
  • State persistence
  • Migration execution

Stress Tests

  • Large sync queues (1000+ operations)
  • Network interruptions during sync
  • Concurrent modifications
  • Storage quota limits

📊 Success Metrics

  • Sync Success Rate: >98% for all operations
  • Conflict Rate: <5% of all syncs
  • Auto-Resolution: >80% of conflicts resolved automatically
  • Data Loss: 0% after conflict resolution
  • Performance: <500ms for conflict detection
  • User Satisfaction: >90% in offline usability survey

🔗 Related


📚 Resources


✅ Acceptance Criteria

  • Optimistic UI updates for all mutations
  • Conflict detection working reliably
  • Multiple conflict resolution strategies implemented
  • Sync queue with exponential backoff retry
  • Data versioning and change history
  • Schema migration framework
  • UI indicators for all sync states
  • State persistence across sessions
  • Comprehensive error handling
  • All tests passing (unit, integration, stress)
  • Documentation complete
  • User guide for conflict resolution

Type: Sub-Issue of Epic #64
Priority: High
Estimated Effort: 3-4 weeks
Dependencies:

  • Phase 1 ✅ Complete
  • Phase 3 (IndexedDB, Background Sync)

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