Comprehensive analysis and implementation concepts for handling images and file includes with automatic deduplication based on MarkdownPackageFormats wiki study. ## Two Complete Concepts Delivered ### Concept A: Hash-Based Asset Store - Content-addressable storage using SHA-256 hashes - SQLite database for virtual name mapping and metadata - Perfect deduplication regardless of filename - Hash-based directory structure for optimal storage - Working prototype with 47 KB of implementation code ### Concept B: Package + Symlinks System (RECOMMENDED) - ZIP-based .mdpkg packages following wiki standards - Symlink-based deduplication in shared asset library - Compatible with standard tools and workflows - Visual transparency and tool integration - Working prototype with 51 KB of implementation code ## Key Features Demonstrated - ✅ Content deduplication: Same image content → single storage - ✅ Multiple names: Different filenames for identical content - ✅ Database integration: Asset metadata queryable and indexed - ✅ Package portability: ZIP-based distribution format - ✅ Working demos: Both concepts fully functional ## Analysis Results - **Perfect Deduplication**: Both concepts eliminate duplicate content storage - **Implementation Complexity**: Concept B more approachable, Concept A more efficient - **Platform Compatibility**: Concept A universal, Concept B symlink-dependent - **User Experience**: Concept B familiar workflows, Concept A requires tooling ## Technical Approach - Based on MarkdownPackageFormats wiki standards (.mdpkg, .mdz formats) - Python standard library (hashlib, sqlite3, zipfile, pathlib) - Content-addressable storage patterns for efficiency - Manifest-based metadata for package integrity ## Recommendations 1. **Start with Concept B** for rapid prototyping and user acceptance 2. **Evolve to hybrid approach** incorporating Concept A's hash-based efficiency 3. **Follow .mdpkg standards** for interoperability with emerging ecosystem 4. **Implement CLI integration** for seamless markitect workflow Both concepts solve the core requirements with working prototypes and clear trade-offs. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
12 KiB
12 KiB