60f33443ae
feat(schema): add semantic schema generation as default mode
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schema-generate now builds content-aware schemas from the document's
section hierarchy instead of counting markdown syntax elements. Detects
key-value tables, data tables, link lists, and mixed content patterns
to produce schemas that reflect the actual document outline.
Old behavior preserved via --mode syntactic. Validator and visualization
tools pinned to syntactic mode for compatibility.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-16 18:49:50 +01:00
9b12875681
feat(spaces): implement Phase 0-1 of Information Space Service
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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
