coulomb/markitect-main
4
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions
markitect-main/markitect/workspace.py

38 lines
823 B
Python
Raw Normal View History

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>
2025-10-14 17:53:47 +02:00
"""
feat(spaces): implement Phase 0-1 of Information Space Service Phase 0 - Project Organization: - Create docs/PROJECT_STRUCTURE.md documenting codebase layout - Create markitect/core/ with parser, serializer, document_manager, workspace - Create markitect/schema/ consolidating 6 schema_*.py modules - Create markitect/storage/ with database module - Maintain backward compatibility via re-exports from original locations - Add docs/roadmap/information-space-service/ with README and WORKPLAN Phase 1 - Foundation (Weeks 1-3): - Week 1: Core domain models (InformationSpace, SpaceDocument, SpaceConfig, SpaceMetadata, SpaceVariable, TransclusionReference, SpaceStatus) - Week 2: Repository layer with interfaces (ISpaceRepository, IDocumentAssociationRepository, IVariableRepository, IReferenceRepository) and SQLite implementations with foreign key cascade deletes - Week 3: SpaceService orchestration layer with full CRUD, document, variable, and reference tracking operations Test coverage: 124 tests (25 model + 63 repository + 36 integration) Capabilities delivered: - CAP-001: InformationSpace entity with lifecycle management - CAP-002: SpaceRepository CRUD with SQLite backing - CAP-003: Document-Space associations with path-based organization - CAP-004: Space metadata and configuration schemas - CAP-005: Database schema with migrations Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-08 02:02:46 +01:00
Workspace management - Backward Compatibility Module.
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>
2025-10-14 17:53:47 +02:00
feat(spaces): implement Phase 0-1 of Information Space Service Phase 0 - Project Organization: - Create docs/PROJECT_STRUCTURE.md documenting codebase layout - Create markitect/core/ with parser, serializer, document_manager, workspace - Create markitect/schema/ consolidating 6 schema_*.py modules - Create markitect/storage/ with database module - Maintain backward compatibility via re-exports from original locations - Add docs/roadmap/information-space-service/ with README and WORKPLAN Phase 1 - Foundation (Weeks 1-3): - Week 1: Core domain models (InformationSpace, SpaceDocument, SpaceConfig, SpaceMetadata, SpaceVariable, TransclusionReference, SpaceStatus) - Week 2: Repository layer with interfaces (ISpaceRepository, IDocumentAssociationRepository, IVariableRepository, IReferenceRepository) and SQLite implementations with foreign key cascade deletes - Week 3: SpaceService orchestration layer with full CRUD, document, variable, and reference tracking operations Test coverage: 124 tests (25 model + 63 repository + 36 integration) Capabilities delivered: - CAP-001: InformationSpace entity with lifecycle management - CAP-002: SpaceRepository CRUD with SQLite backing - CAP-003: Document-Space associations with path-based organization - CAP-004: Space metadata and configuration schemas - CAP-005: Database schema with migrations Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-08 02:02:46 +01:00
This module re-exports from markitect.core.workspace for backward compatibility.
New code should import from markitect.core.workspace directly.
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>
2025-10-14 17:53:47 +02:00
"""
feat(spaces): implement Phase 0-1 of Information Space Service Phase 0 - Project Organization: - Create docs/PROJECT_STRUCTURE.md documenting codebase layout - Create markitect/core/ with parser, serializer, document_manager, workspace - Create markitect/schema/ consolidating 6 schema_*.py modules - Create markitect/storage/ with database module - Maintain backward compatibility via re-exports from original locations - Add docs/roadmap/information-space-service/ with README and WORKPLAN Phase 1 - Foundation (Weeks 1-3): - Week 1: Core domain models (InformationSpace, SpaceDocument, SpaceConfig, SpaceMetadata, SpaceVariable, TransclusionReference, SpaceStatus) - Week 2: Repository layer with interfaces (ISpaceRepository, IDocumentAssociationRepository, IVariableRepository, IReferenceRepository) and SQLite implementations with foreign key cascade deletes - Week 3: SpaceService orchestration layer with full CRUD, document, variable, and reference tracking operations Test coverage: 124 tests (25 model + 63 repository + 36 integration) Capabilities delivered: - CAP-001: InformationSpace entity with lifecycle management - CAP-002: SpaceRepository CRUD with SQLite backing - CAP-003: Document-Space associations with path-based organization - CAP-004: Space metadata and configuration schemas - CAP-005: Database schema with migrations Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-08 02:02:46 +01:00
# Re-export from core for backward compatibility
from markitect.core.workspace import (
WorkspaceManager,
WorkspaceTemplate,
TemplateMetadata,
TemplateResult,
WorkspaceCreationResult,
ProjectResult,
SyncResult,
BackupResult,
RestoreResult,
WorkspaceState,
ConflictInfo,
MergeResult,
)
__all__ = [
'WorkspaceManager',
'WorkspaceTemplate',
'TemplateMetadata',
'TemplateResult',
'WorkspaceCreationResult',
'ProjectResult',
'SyncResult',
'BackupResult',
'RestoreResult',
'WorkspaceState',
'ConflictInfo',
'MergeResult',
]
Reference in a new issue Copy permalink