POWR/docs/design/WorkoutTab/WorkoutImplementationRoadmap.md
2025-02-20 22:43:31 -05:00

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POWR Workout Implementation Roadmap

Overview

This roadmap outlines the phased implementation approach for the POWR Workout feature. The development is structured in progressive iterations, each building upon the previous while maintaining usable functionality at each stage.

Phase 0: Preparation (1-2 days)

Database Schema Extensions

  • Update SQLite schema with workout tables
  • Create migration scripts
  • Add test data validation

TypeScript Definitions

  • Define core workout interfaces
  • Create type guards and utility functions
  • Document relationships with existing types

Testing Infrastructure

  • Set up workout component testing environment
  • Create mock workout data generators
  • Establish performance benchmarks

Phase 1: Core Workout Infrastructure (1 week)

Workout Context & State Management

  • Create WorkoutContext and provider
  • Implement workout reducer
  • Build timer hook implementation
  • Add persistence service

Basic UI Components

  • Workout setup screen
  • Basic exercise tracking interface
  • Simple completion flow
  • Minimal workout summary

Database Integration

  • Basic CRUD operations for workouts
  • Template-to-workout conversion
  • Simple workout history storage

Testing

  • Unit tests for core logic
  • Basic UI component tests
  • Database operation tests

Milestone: Users can start a basic workout, track sets/reps, and save results

Phase 2: Enhanced Tracking Experience (1 week)

Advanced UI Components

  • Rest timer implementation
  • Exercise navigation carousel
  • Set tracker with history reference
  • In-workout notes and feedback
  • Enhanced number inputs for weight/reps

Workout Types Support

  • Strength workout layout
  • Circuit workout support
  • EMOM timer integration
  • AMRAP tracking

Progress Tracking

  • Basic PR detection
  • Set completion visualization
  • Progress indicators
  • Exercise history comparison

Data Persistence

  • Optimized auto-save
  • Crash recovery
  • Workout modification tracking

Milestone: Full-featured workout tracking with specialized workout types

Phase 3: Performance & Analysis (1 week)

Performance Optimization

  • Reduce render cycles
  • Optimize database operations
  • Efficient timer implementation
  • Memory usage optimization

Workout Analysis

  • Comprehensive statistics calculation
  • Volume tracking by muscle group
  • Intensity analysis
  • Trend visualization

Advanced Features

  • Workout templates with progression
  • RPE guidance
  • Rest period recommendations
  • Supersets and complex exercise grouping

Enhanced Recovery

  • Automated backup system
  • Unfinished workout detection
  • Cross-session recovery

Milestone: Optimized workout experience with rich analytics

Phase 4: Social & Nostr Integration (1 week)

Nostr Event Creation

  • Exercise event formatting (kind: 33401)
  • Template event formatting (kind: 33402)
  • Workout record event formatting (kind: 33403)

Publishing Flow

  • Privacy-aware publishing options
  • Selective publishing (exercises vs workouts)
  • Author attribution

Subscription Integration

  • Followed user workout display
  • Workout import from Nostr
  • Social interactions (reactions, comments)

Multi-device Sync

  • Workout continuation across devices
  • Template synchronization
  • History consolidation

Milestone: Social workout sharing and multi-device capabilities

Phase 5: Polish & Advanced Features (1-2 weeks)

UI Polish

  • Animations and transitions
  • Haptic feedback integration
  • Sound cues for timers
  • Improved visual design

User Experience Improvements

  • Onboarding flow for workout tracking
  • Contextual help and tips
  • Customizable workout controls
  • Accessibility enhancements

Advanced Tracking Options

  • Custom exercise metrics
  • Video form recording
  • Voice notes during workout
  • Workout photos

Integration Enhancements

  • Calendar integration
  • Health kit/Google Fit synchronization
  • Export capabilities
  • Sharing to non-Nostr platforms

Milestone: Polished, feature-complete workout experience

Implementation Approach

Vertical Slices

Each phase will implement features as complete vertical slices, ensuring working functionality at each stage. This approach allows for:

  1. Earlier user testing and feedback
  2. Incremental value delivery
  3. More flexible priorities
  4. Easier integration testing

Testing Strategy

  • Unit tests for all core logic components
  • Component tests for UI elements
  • Integration tests for data flow
  • E2E tests for critical user journeys
  • Performance tests for timer accuracy

Quality Gates

Each phase must meet these criteria before proceeding:

  1. All tests passing
  2. Performance benchmarks met
  3. No regressions in existing functionality
  4. Technical debt documented
  5. Documentation updated

Resource Requirements

Development Team

  • 1-2 React Native developers
  • 1 Designer for UI components
  • Testing support

Technical Resources

  • Test devices (iOS/Android)
  • Performance monitoring setup
  • SQLite optimization tools
  • Animation prototyping tools

External Dependencies

  • Nostr SDK updates if needed
  • Any third-party libraries for specific features
  • Design system extensions

Risk Management

Identified Risks

  1. Timer Accuracy - Mobile timers may drift or be affected by background state

    • Mitigation: Use requestAnimationFrame and background-aware implementations
  2. Database Performance - Large workout histories may impact query speed

    • Mitigation: Implement pagination, indexing, and query optimization
  3. Cross-platform Consistency - UI/interaction differences between iOS/Android/web

    • Mitigation: Platform-specific adaptations while maintaining consistent data model
  4. Offline Sync Conflicts - Multi-device usage may cause data conflicts

    • Mitigation: Implement conflict resolution strategies and versioning
  5. Battery Usage - Continuous timing and tracking may impact battery life

    • Mitigation: Optimize refresh rates, background processes, and sensor usage

Success Metrics

User Engagement

  • Workout completion rate
  • Average workout duration
  • Return rate to workout feature
  • Template reuse rate

Performance

  • Time to interactive for workout screen
  • Save operation duration
  • Timer accuracy
  • Battery impact

Quality

  • Crash-free sessions
  • Data preservation rate
  • Auto-recovery success rate
  • Cross-device consistency

Future Roadmap Considerations

Phase 6: Advanced Analytics

  • Machine learning for workout recommendations
  • Fatigue analysis
  • Progression optimization
  • Long-term trend visualization

Phase 7: Community Features

  • Workout challenges
  • Leaderboards
  • Group workouts
  • Coach/client relationships

Phase 8: Premium Features

  • Advanced workout programming
  • AI form checking
  • Premium templates
  • Personalized insights

Appendix: Component Dependencies

graph TD
    A[WorkoutContext] --> B[WorkoutScreen]
    A --> C[TimerService]
    A --> D[WorkoutPersistence]
    
    B --> E[ExerciseTracker]
    B --> F[WorkoutControls]
    B --> G[ExerciseNavigation]
    
    E --> H[SetInput]
    E --> I[RestTimer]
    E --> J[RPESelector]
    
    D --> K[SQLiteDatabase]
    D --> L[NostrPublisher]
    
    C --> M[TimerHook]
    M --> N[BackgroundService]

Appendix: Data Flow Diagram

sequenceDiagram
    participant User
    participant UI as UI Components
    participant Context as Workout Context
    participant Service as Persistence Service
    participant DB as SQLite
    participant Nostr as Nostr Protocol
    
    User->>UI: Select Template
    UI->>Context: initWorkout(template)
    Context->>Service: convertTemplateToWorkout()
    Service->>DB: saveInitialWorkout()
    DB-->>Service: workoutId
    Service-->>Context: initializedWorkout
    Context-->>UI: Updated State
    
    User->>UI: Record Set
    UI->>Context: updateSet(data)
    Context->>Context: Internal State Update
    Context-->>UI: Updated State
    
    Note over Context: Auto-save Timer
    Context->>Service: saveIncrementalChanges()
    Service->>DB: transaction()
    
    User->>UI: Complete Workout
    UI->>Context: completeWorkout()
    Context->>Service: finalizeWorkout()
    Service->>DB: saveCompletedWorkout()
    Service->>Service: calculateStatistics()
    Service->>DB: saveWorkoutStatistics()
    
    opt User Enabled Sharing
        Service->>Nostr: createWorkoutEvent()
        Nostr->>Nostr: publishEvent()
        Nostr-->>Service: eventId
        Service->>DB: updateNostrEventId()
    end
    
    Service-->>Context: workoutSummary
    Context-->>UI: Display Summary

Appendix: Test Matrix

Component Unit Tests Integration Tests E2E Tests Performance Tests
Workout Context State transitions, Timer accuracy Data flow, Component integration - Memory usage
Exercise Tracking Input validation, UI state Database integration Full workout flow Render performance
Rest Timer Timing accuracy, State management UI integration - Background behavior
Database CRUD operations Recovery, Transaction integrity - Query performance
Nostr Integration Event formatting Publishing flow Cross-device sync Network efficiency
UI Components Rendering, Props validation Context integration User interactions Animation smoothness