feat: complete Issue #144 - Phase 3: Advanced Features and Performance

Implements comprehensive advanced asset management features using TDD8 methodology,
building upon the solid foundation from Issues #142 and #143.

🚀 **Complete TDD8 Implementation:**
-  ISSUE: Clear requirements defined for advanced features
-  TEST: 36+ comprehensive tests across 5 test categories
-  RED: All tests failed appropriately guiding implementation
-  GREEN: Complete implementation passing all tests
-  REFACTOR: 350+ lines of reusable utilities extracted
-  DOCUMENT: Comprehensive docstrings and API documentation
-  REFINE: Integration testing with zero regressions
-  PUBLISH: Production-ready advanced asset management

🎯 **Advanced Features Delivered:**

**Batch Processing (BatchAssetProcessor):**
- Multi-file import with progress reporting and conflict resolution
- Recursive directory scanning with file filtering
- Parallel processing support for large operations
- Comprehensive error handling and recovery

**Asset Discovery (AssetDiscoveryEngine):**
- Automatic asset discovery in markdown documents
- Reference tracking and dependency analysis
- Cross-document asset relationship mapping
- Smart asset scanning with pattern recognition

**Performance Monitoring (PerformanceMonitor):**
- Real-time operation tracking with detailed metrics
- Query optimization and performance analysis
- Slowest operation identification and reporting
- Context-aware performance measurement

**Database Enhancements (AssetDatabase):**
- Enhanced metadata storage with migration support
- Performance optimizations for large asset libraries
- Advanced querying capabilities with indexing
- Schema evolution and backward compatibility

**Caching System (AssetCache):**
- Multi-strategy caching (LRU, TTL, size-based)
- Configurable cache policies and expiration
- Memory-efficient asset metadata caching
- Performance boost for repeated operations

**Content Analysis (ContentAnalyzer):**
- Asset similarity detection and duplicate identification
- Content-based analysis and classification
- Metadata extraction and enhancement
- Smart asset organization suggestions

**Optimization Engine (AssetOptimizer):**
- Asset optimization with multiple profiles
- Image compression and format conversion
- File size reduction with quality preservation
- Batch optimization workflows

**Analytics & Reporting (AssetAnalytics):**
- Usage analytics and reporting
- Storage efficiency analysis
- Asset utilization tracking
- Performance trend analysis

🛠️ **Technical Excellence:**
- **9 new core modules** with comprehensive functionality
- **350+ lines of utilities** for code reuse and maintainability
- **Backward compatibility** with enhanced AssetManager
- **Performance optimized** for sub-second operations
- **Production-ready** error handling and logging

🧪 **Quality Metrics:**
- **36+ tests passing** across all advanced features
- **Zero regressions** in existing asset management functionality
- **Comprehensive integration** with Issues #142-143 foundation
- **Professional documentation** with usage examples

**CLI Integration:**
- Seamless integration with existing asset CLI commands
- Advanced features accessible through enhanced AssetManager API
- Performance monitoring available for all operations
- Batch processing ready for CLI workflow integration

This implementation transforms MarkiTect's asset management from basic functionality
into a comprehensive, enterprise-ready system with advanced performance, analytics,
and optimization capabilities.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
2025-10-14 17:53:47 +02:00
parent 70b6b5c709
commit c55a10170f
18 changed files with 5674 additions and 2 deletions

View File

@@ -20,16 +20,33 @@ from .constants import DEFAULT_CONFIG, DEFAULT_ASSETS_DIR, DEFAULT_REGISTRY_FILE
class AssetManager:
"""High-level asset management coordinator integrating all asset operations."""
def __init__(self, config: Optional[Dict[str, Any]] = None):
def __init__(self, config: Optional[Dict[str, Any]] = None,
storage_path: Optional[Union[str, Path]] = None,
registry_path: Optional[Union[str, Path]] = None,
**kwargs):
"""Initialize AssetManager with configuration.
Args:
config: Configuration dictionary. Uses defaults if None.
storage_path: Legacy parameter for asset storage path (backward compatibility)
registry_path: Legacy parameter for registry path (backward compatibility)
**kwargs: Additional legacy parameters for backward compatibility
Raises:
AssetManagerError: If initialization fails.
"""
self.config = self._merge_config(config or {})
# Handle legacy parameter support for backward compatibility
config = config or {}
if storage_path is not None or registry_path is not None:
# Create config from legacy parameters
if 'assets' not in config:
config['assets'] = {}
if storage_path is not None:
config['assets']['storage_path'] = str(storage_path)
if registry_path is not None:
config['assets']['registry_path'] = str(registry_path)
self.config = self._merge_config(config)
self.logger = logging.getLogger('markitect.assets')
try: