thrillwiki_django_no_react/memory-bank/activeContext.md

Active Development Context

Current Implementation Status

Version Control System has been evaluated and requires several enhancements:

Completed

1. Core VCS Components:

   • Base models (VersionBranch, VersionTag, ChangeSet)
   • Business logic (BranchManager, ChangeTracker, MergeStrategy)
   • UI components and templates
   • Asset integration (JS/CSS)
   • Comprehensive monitoring system
   • Basic caching implementation

2. Initial Integration:

   • Park model VCS integration
   • ParkArea model VCS integration
   • Base template VCS support
   • Park detail template integration
   • Version control context processor
   • Monitoring and metrics collection

3. Documentation:

   • Technical implementation guide
   • Template integration guide
   • Implementation checklist
   • Base README
   • API documentation
   • User guide

In Progress

1. Model Integration:

   • Rides system
   • Reviews system
   • Companies system
   • Batch processing implementation
   • Enhanced caching layer

2. Template Updates:

   • Park list view
   • Ride detail/list views
   • Review detail/list views
   • Company detail/list views
   • Performance optimized components

Newly Identified Requirements

1. Performance Optimizations:

   • Implement batch processing for large changesets
   • Add caching for frequently accessed version history
   • Optimize query patterns for large history sets

2. Scalability Enhancements:

   • Implement archive strategy for old history records
   • Add partitioning support for large history tables
   • Develop async processing for heavy operations

3. Security Improvements:

   • Add encryption for sensitive changes
   • Enhance access control granularity
   • Implement audit logging improvements

Immediate Next Steps

1. Performance Optimization (Priority)

   # Add to history_tracking/batch.py:
   class BatchChangeProcessor:
       def process_changes(self, changes):
           """Process multiple changes efficiently"""
           with transaction.atomic():
               # Batch processing logic
   

2. Caching Enhancement

   # Add to history_tracking/caching.py:
   class VersionHistoryCache:
       def cache_version_info(self):
           """Cache frequently accessed version data"""
           # Caching implementation
   

3. Testing Expansion

   • Add performance benchmarks
   • Implement stress testing
   • Create scalability tests

Active Issues

1. Need to implement batch processing for large changesets
2. Must enhance caching strategy for version history
3. Need to implement proper cleanup for old versions
4. Performance optimization required for large history sets
5. Archiving strategy needed for historical data

Technical Dependencies

• django-simple-history: Base history tracking
• HTMX: UI interactions
• Alpine.js: Frontend reactivity
• Custom VCS components
• Redis: Enhanced caching (planned)
• Celery: Async processing (planned)

Integration Strategy

1. Roll out performance optimizations
2. Implement enhanced caching
3. Deploy batch processing
4. Add archiving system
5. Implement async operations

Monitoring Points

• Track version control operation performance
• Monitor database size with version history
• Watch for merge conflicts
• Track user interaction patterns
• Monitor cache hit rates
• Track batch processing efficiency
• Measure async operation latency

Code Standards

• All versioned models inherit from HistoricalModel
• Consistent save method implementation
• Proper branch context management
• Standard version control UI components
• Performance optimization patterns
• Caching standards
• Batch processing guidelines

Documentation Status

• Technical implementation
• Template integration guide
• API documentation
• User guide
• Admin documentation
• Performance tuning guide
• Scaling guidelines

Current Branch

main

Environment

• Django with HTMX integration
• PostgreSQL database
• django-simple-history
• Custom VCS extensions
• Redis (planned)
• Celery (planned)

Recent Evaluation

Full system evaluation completed on 2025-02-07. Details in memory-bank/evaluations/version_control_evaluation.md.