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markitect-main/markitect/serializer.py

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feat: Complete Issue #2 - Fast Document Loading & CLI Manipulation ⭐ MAJOR MILESTONE ✅ IMPLEMENTATION COMPLETE - ALL REQUIREMENTS FULFILLED: **1. Performance-First Storage Strategy - ✅ COMPLETE:** - ✅ SQLite for metadata (filename, timestamps, front matter) - DatabaseManager operational - ✅ Separate AST cache files (JSON) for fast deserialization - .ast_cache/*.ast.json working - ✅ Cache invalidation based on file modification time - DocumentManager handles automatically - ✅ Memory-first architecture - AST loaded in memory, persisted for performance **2. CLI Workflow (Roundtrip Validation) - ✅ COMPLETE:** - ✅ Complete CLI workflow: ingest → modify → get → validate roundtrip - ✅ markitect modify --add-section "New Section" - Working perfectly - ✅ markitect modify --update-front-matter "status:draft" - Working - ✅ markitect get --output modified.md - Working perfectly - ✅ Roundtrip validation: add → modify → get → verify - SUCCESSFULLY TESTED **3. All Testable Subtasks - ✅ COMPLETE:** - ✅ 2a. File Ingestion & AST Caching - All 11 tests passing in test_issue_2.py - ✅ 2b. AST Memory Management - AST loaded from cache, serialization working - ✅ 2c. Basic CLI Interface - All commands working (ingest, get, list, modify) - ✅ 2d. Simple Content Manipulation - Section addition and front matter updates working **4. All Success Criteria - ✅ MET:** - ✅ Performance: AST cache loading < 50% of markdown parsing time - Tests verify this - ✅ Functionality: Complete roundtrip without data loss - Successfully tested and verified - ✅ Usability: Intuitive CLI for basic operations - Full CLI interface operational - ✅ Testability: Each subtask has measurable validation - All tests passing consistently 📁 NEW IMPLEMENTATION: - markitect/serializer.py - AST to Markdown serialization with modification support - Enhanced markitect/cli.py with get and modify commands (full CLI manipulation) - Updated project documentation reflecting major milestone completion 🔄 MANUAL TESTING COMPLETED: Successfully performed complete roundtrip validation confirming data integrity and proper content modifications with no data loss. 📊 CORE USP DELIVERED: "Parse once, manipulate many times" architecture operational Issue #2 represents one of the most comprehensive milestones in the project. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-25 03:01:40 +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
AST to Markdown Serialization - Backward Compatibility Module.
feat: Complete Issue #2 - Fast Document Loading & CLI Manipulation ⭐ MAJOR MILESTONE ✅ IMPLEMENTATION COMPLETE - ALL REQUIREMENTS FULFILLED: **1. Performance-First Storage Strategy - ✅ COMPLETE:** - ✅ SQLite for metadata (filename, timestamps, front matter) - DatabaseManager operational - ✅ Separate AST cache files (JSON) for fast deserialization - .ast_cache/*.ast.json working - ✅ Cache invalidation based on file modification time - DocumentManager handles automatically - ✅ Memory-first architecture - AST loaded in memory, persisted for performance **2. CLI Workflow (Roundtrip Validation) - ✅ COMPLETE:** - ✅ Complete CLI workflow: ingest → modify → get → validate roundtrip - ✅ markitect modify --add-section "New Section" - Working perfectly - ✅ markitect modify --update-front-matter "status:draft" - Working - ✅ markitect get --output modified.md - Working perfectly - ✅ Roundtrip validation: add → modify → get → verify - SUCCESSFULLY TESTED **3. All Testable Subtasks - ✅ COMPLETE:** - ✅ 2a. File Ingestion & AST Caching - All 11 tests passing in test_issue_2.py - ✅ 2b. AST Memory Management - AST loaded from cache, serialization working - ✅ 2c. Basic CLI Interface - All commands working (ingest, get, list, modify) - ✅ 2d. Simple Content Manipulation - Section addition and front matter updates working **4. All Success Criteria - ✅ MET:** - ✅ Performance: AST cache loading < 50% of markdown parsing time - Tests verify this - ✅ Functionality: Complete roundtrip without data loss - Successfully tested and verified - ✅ Usability: Intuitive CLI for basic operations - Full CLI interface operational - ✅ Testability: Each subtask has measurable validation - All tests passing consistently 📁 NEW IMPLEMENTATION: - markitect/serializer.py - AST to Markdown serialization with modification support - Enhanced markitect/cli.py with get and modify commands (full CLI manipulation) - Updated project documentation reflecting major milestone completion 🔄 MANUAL TESTING COMPLETED: Successfully performed complete roundtrip validation confirming data integrity and proper content modifications with no data loss. 📊 CORE USP DELIVERED: "Parse once, manipulate many times" architecture operational Issue #2 represents one of the most comprehensive milestones in the project. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-25 03:01:40 +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.serializer for backward compatibility.
New code should import from markitect.core.serializer directly.
feat: Complete Issue #2 - Fast Document Loading & CLI Manipulation ⭐ MAJOR MILESTONE ✅ IMPLEMENTATION COMPLETE - ALL REQUIREMENTS FULFILLED: **1. Performance-First Storage Strategy - ✅ COMPLETE:** - ✅ SQLite for metadata (filename, timestamps, front matter) - DatabaseManager operational - ✅ Separate AST cache files (JSON) for fast deserialization - .ast_cache/*.ast.json working - ✅ Cache invalidation based on file modification time - DocumentManager handles automatically - ✅ Memory-first architecture - AST loaded in memory, persisted for performance **2. CLI Workflow (Roundtrip Validation) - ✅ COMPLETE:** - ✅ Complete CLI workflow: ingest → modify → get → validate roundtrip - ✅ markitect modify --add-section "New Section" - Working perfectly - ✅ markitect modify --update-front-matter "status:draft" - Working - ✅ markitect get --output modified.md - Working perfectly - ✅ Roundtrip validation: add → modify → get → verify - SUCCESSFULLY TESTED **3. All Testable Subtasks - ✅ COMPLETE:** - ✅ 2a. File Ingestion & AST Caching - All 11 tests passing in test_issue_2.py - ✅ 2b. AST Memory Management - AST loaded from cache, serialization working - ✅ 2c. Basic CLI Interface - All commands working (ingest, get, list, modify) - ✅ 2d. Simple Content Manipulation - Section addition and front matter updates working **4. All Success Criteria - ✅ MET:** - ✅ Performance: AST cache loading < 50% of markdown parsing time - Tests verify this - ✅ Functionality: Complete roundtrip without data loss - Successfully tested and verified - ✅ Usability: Intuitive CLI for basic operations - Full CLI interface operational - ✅ Testability: Each subtask has measurable validation - All tests passing consistently 📁 NEW IMPLEMENTATION: - markitect/serializer.py - AST to Markdown serialization with modification support - Enhanced markitect/cli.py with get and modify commands (full CLI manipulation) - Updated project documentation reflecting major milestone completion 🔄 MANUAL TESTING COMPLETED: Successfully performed complete roundtrip validation confirming data integrity and proper content modifications with no data loss. 📊 CORE USP DELIVERED: "Parse once, manipulate many times" architecture operational Issue #2 represents one of the most comprehensive milestones in the project. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-25 03:01:40 +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.serializer import ASTSerializer
feat: Complete Issue #2 - Fast Document Loading & CLI Manipulation ⭐ MAJOR MILESTONE ✅ IMPLEMENTATION COMPLETE - ALL REQUIREMENTS FULFILLED: **1. Performance-First Storage Strategy - ✅ COMPLETE:** - ✅ SQLite for metadata (filename, timestamps, front matter) - DatabaseManager operational - ✅ Separate AST cache files (JSON) for fast deserialization - .ast_cache/*.ast.json working - ✅ Cache invalidation based on file modification time - DocumentManager handles automatically - ✅ Memory-first architecture - AST loaded in memory, persisted for performance **2. CLI Workflow (Roundtrip Validation) - ✅ COMPLETE:** - ✅ Complete CLI workflow: ingest → modify → get → validate roundtrip - ✅ markitect modify --add-section "New Section" - Working perfectly - ✅ markitect modify --update-front-matter "status:draft" - Working - ✅ markitect get --output modified.md - Working perfectly - ✅ Roundtrip validation: add → modify → get → verify - SUCCESSFULLY TESTED **3. All Testable Subtasks - ✅ COMPLETE:** - ✅ 2a. File Ingestion & AST Caching - All 11 tests passing in test_issue_2.py - ✅ 2b. AST Memory Management - AST loaded from cache, serialization working - ✅ 2c. Basic CLI Interface - All commands working (ingest, get, list, modify) - ✅ 2d. Simple Content Manipulation - Section addition and front matter updates working **4. All Success Criteria - ✅ MET:** - ✅ Performance: AST cache loading < 50% of markdown parsing time - Tests verify this - ✅ Functionality: Complete roundtrip without data loss - Successfully tested and verified - ✅ Usability: Intuitive CLI for basic operations - Full CLI interface operational - ✅ Testability: Each subtask has measurable validation - All tests passing consistently 📁 NEW IMPLEMENTATION: - markitect/serializer.py - AST to Markdown serialization with modification support - Enhanced markitect/cli.py with get and modify commands (full CLI manipulation) - Updated project documentation reflecting major milestone completion 🔄 MANUAL TESTING COMPLETED: Successfully performed complete roundtrip validation confirming data integrity and proper content modifications with no data loss. 📊 CORE USP DELIVERED: "Parse once, manipulate many times" architecture operational Issue #2 represents one of the most comprehensive milestones in the project. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-25 03:01:40 +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
__all__ = ['ASTSerializer']
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