thrillwiki_django_no_react/memory-bank/systemPatterns.md

System Patterns

Architectural Patterns

MVT Implementation

1. Models

   • Use abstract base classes for common fields
   • Implement custom model managers for complex queries
   • Define clear relationships and constraints
   • Include field-level validation

2. Views

   • Prefer class-based views
   • Use mixins for shared functionality
   • Implement proper permission checks
   • Handle HTMX requests explicitly

3. Templates

   • Maintain hierarchy with base templates
   • Use partial templates for HTMX responses
   • Implement component-based structure
   • Follow progressive enhancement

Version Control Patterns

Change Management

1. Batch Processing

   class BatchChangeProcessor:
       def process_changes(self, changes, chunk_size=100):
           """Process changes in efficient batches"""
           with transaction.atomic():
               for chunk in chunked_queryset(changes, chunk_size):
                   self._process_chunk(chunk)
   

2. Caching Strategy

   class VersionCache:
       def cache_history(self, instance):
           """Cache version history with TTL"""
           key = f"version_history_{instance.pk}"
           if not cache.get(key):
               history = instance.get_history()
               cache.set(key, history, timeout=3600)
   

3. Change Tracking

   class ChangeTracker:
       def track_changes(self, instance):
           """Track changes with metadata"""
           return {
               'changes': self._diff_changes(instance),
               'metadata': self._collect_metadata(),
               'performance': self._get_metrics()
           }
   

Performance Optimization

1. Query Patterns

   class HistoryQuerySet:
       def optimized_history(self):
           """Optimized history query"""
           return self.select_related('branch')\
                     .prefetch_related('changes')\
                     .defer('large_fields')
   

2. Async Operations

   class AsyncVersionControl:
       async def process_large_changes(self):
           """Handle large changes asynchronously"""
           async with atomic():
               # Async processing logic
   

3. Archiving Strategy

   class HistoryArchiver:
       def archive_old_versions(self, age_days=90):
           """Archive old version history"""
           threshold = timezone.now() - timedelta(days=age_days)
           return self._move_to_archive(threshold)
   

Design Patterns

Data Access

1. Query Patterns

   • Use select_related() for foreign keys
   • Implement prefetch_related() for reverse relationships
   • Create custom model managers
   • Optimize database queries

2. Caching Strategy

   • Cache template fragments
   • Implement model-level caching
   • Use Redis for session storage
   • Cache invalidation rules
   • Version history caching
   • Differential caching for changes

Frontend Patterns

1. HTMX Integration

   <!-- Partial Update Pattern -->
   <div hx-get="/endpoint"
        hx-trigger="event"
        hx-target="#target">
   

2. AlpineJS Components

   <!-- State Management Pattern -->
   <div x-data="{ state: {} }"
        x-init="state = await fetchData()">
   

3. Tailwind Components

   <!-- Component Structure -->
   <div class="component-wrapper">
     <div class="component-header"></div>
     <div class="component-content"></div>
   </div>
   

Version Control UI Patterns

1. Change Visualization

   <!-- Diff View Pattern -->
   <div class="diff-view"
        x-data="diffViewer"
        x-init="loadDiff()">
     <div class="diff-header"></div>
     <div class="diff-content"></div>
   </div>
   

2. Branch Management

   <!-- Branch Selector Pattern -->
   <div class="branch-selector"
        x-data="branchManager"
        @branch-changed="updateContent()">
   

3. Merge Resolution

   <!-- Conflict Resolution Pattern -->
   <div class="conflict-resolver"
        x-data="conflictResolver"
        @resolve="handleResolution()">
   

Authentication Patterns

User Management

1. Custom User Model

   • Extended user profiles
   • Role-based permissions
   • Activity tracking
   • Profile customization

2. Authentication Flow

   • Login/registration process
   • Password reset workflow
   • Email verification
   • Session management

Content Management

Moderation Flow

1. Submission Process

   • Content validation
   • Automatic checks
   • Manual review queue
   • Approval workflow

2. Review System

   • Rating framework
   • Media handling
   • User verification
   • Content filtering

Error Handling

Backend Errors

1. Exception Handling

   try:
       # Operation
   except SpecificException as e:
       # Specific handling
   except Exception as e:
       # Generic handling
   

2. Response Patterns

   # Success Response
   return JsonResponse({'status': 'success', 'data': data})
   
   # Error Response
   return JsonResponse({'status': 'error', 'message': str(e)})
   

Frontend Errors

1. User Feedback
   • Toast notifications
   • Inline validation
   • Form feedback
   • Error states

Testing Patterns

Performance Testing

class VersionControlPerformanceTests(TestCase):
    def setUp(self):
        self.large_dataset = self.create_test_data()
        
    def test_batch_processing_performance(self):
        start_time = time.time()
        self.processor.process_changes(self.large_dataset)
        duration = time.time() - start_time
        self.assertLess(duration, self.acceptable_threshold)

Scale Testing

class ScaleTestCase(TestCase):
    def test_version_history_scaling(self):
        with self.assertNumQueries(1):  # Ensure efficient querying
            self.repository.get_history()

Integration Tests

class ViewTests(TestCase):
    def setUp(self):
        self.client = Client()
        
    def test_view_functionality(self):
        # Test implementation

Development Workflows

Feature Development

1. Planning

   • Technical specification
   • Component design
   • Database schema
   • API endpoints

2. Implementation

   • Model creation
   • View implementation
   • Template design
   • Testing coverage

3. Review Process

   • Code review
   • Testing verification
   • Documentation update
   • Deployment planning

4. Performance Review

   • Query analysis
   • Cache efficiency
   • Load testing
   • Scalability verification