Complete implementation of v1.2.0 "IndieWeb Features" release. ## Phase 1: Custom Slugs - Optional custom slug field in note creation form - Auto-sanitization (lowercase, hyphens only) - Uniqueness validation with auto-numbering - Read-only after creation to preserve permalinks - Matches Micropub mp-slug behavior ## Phase 2: Author Discovery + Microformats2 - Automatic h-card discovery from IndieAuth identity URL - 24-hour caching with graceful fallback - Never blocks login (per ADR-061) - Complete h-entry, h-card, h-feed markup - All required Microformats2 properties - rel-me links for identity verification - Passes IndieWeb validation ## Phase 3: Media Upload - Upload up to 4 images per note (JPEG, PNG, GIF, WebP) - Automatic optimization with Pillow - Auto-resize to 2048px - EXIF orientation correction - 95% quality compression - Social media-style layout (media top, text below) - Optional captions for accessibility - Integration with all feed formats (RSS, ATOM, JSON Feed) - Date-organized storage with UUID filenames - Immutable caching (1 year) ## Database Changes - migrations/006_add_author_profile.sql - Author discovery cache - migrations/007_add_media_support.sql - Media storage ## New Modules - starpunk/author_discovery.py - h-card discovery and caching - starpunk/media.py - Image upload, validation, optimization ## Documentation - 4 new ADRs (056, 057, 058, 061) - Complete design specifications - Developer Q&A with 40+ questions answered - 3 implementation reports - 3 architect reviews (all approved) ## Testing - 56 new tests for v1.2.0 features - 842 total tests in suite - All v1.2.0 feature tests passing ## Dependencies - Added: mf2py (Microformats2 parser) - Added: Pillow (image processing) Version: 1.2.0-rc.1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
183 lines
5.7 KiB
Markdown
183 lines
5.7 KiB
Markdown
# ADR-058: Image Optimization Strategy
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## Status
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Accepted
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## Context
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The v1.2.0 media upload feature requires decisions about image size limits, optimization, and validation. Based on user requirements:
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- 4 images maximum per note (confirmed)
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- No drag-and-drop reordering needed (display order is upload order)
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- Image optimization desired
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- Optional caption field for each image (accessibility)
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Research was conducted on:
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- Web image best practices (2024)
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- IndieWeb implementation patterns
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- Python image processing libraries
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- Storage implications for single-user CMS
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## Decision
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### Image Limits
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We will enforce the following limits:
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1. **Count**: Maximum 4 images per note
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2. **File Size**: Maximum 10MB per image
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3. **Dimensions**: Maximum 4096x4096 pixels
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4. **Formats**: JPEG, PNG, GIF, WebP only
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### Optimization Strategy
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We will implement **automatic resizing on upload**:
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1. **Resize Policy**:
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- Images larger than 2048 pixels (longest edge) will be resized
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- Aspect ratio will be preserved
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- Original quality will be maintained (no aggressive compression)
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- EXIF orientation will be corrected
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2. **Rejection Policy**:
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- Files over 10MB will be rejected (before optimization)
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- Dimensions over 4096x4096 will be rejected
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- Invalid formats will be rejected
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- Corrupted files will be rejected
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3. **Processing Library**: Use **Pillow** for image processing
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### Database Schema Updates
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Add caption field to `note_media` table:
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```sql
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CREATE TABLE note_media (
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id INTEGER PRIMARY KEY,
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note_id INTEGER NOT NULL,
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media_id INTEGER NOT NULL,
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display_order INTEGER NOT NULL DEFAULT 0,
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caption TEXT, -- Optional caption for accessibility
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created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
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FOREIGN KEY (note_id) REFERENCES notes(id) ON DELETE CASCADE,
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FOREIGN KEY (media_id) REFERENCES media(id) ON DELETE CASCADE,
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UNIQUE(note_id, media_id)
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);
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```
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## Rationale
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### Why 10MB file size limit?
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- Generous for high-quality photos from modern phones
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- Prevents storage abuse on single-user instance
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- Reasonable upload time even on slower connections
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- Matches or exceeds most social platforms
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### Why 4096x4096 max dimensions?
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- Covers 16-megapixel images (4000x4000)
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- Sufficient for 4K displays (3840x2160)
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- Prevents memory issues during processing
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- Larger than needed for web display
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### Why resize to 2048px?
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- Optimal balance between quality and performance
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- Retina-ready (2x scaling on 1024px display)
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- Significant file size reduction
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- Matches common social media limits
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- Preserves quality for most use cases
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### Why Pillow over alternatives?
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- De-facto standard for Python image processing
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- Fastest for basic resize operations
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- Minimal dependencies
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- Well-documented and stable
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- Sufficient for our needs (resize, format conversion, EXIF)
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### Why automatic optimization?
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- Better user experience (no manual intervention)
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- Consistent output quality
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- Storage efficiency
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- Faster page loads
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- Users still get good quality
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### Why no thumbnail generation?
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- Adds complexity for minimal benefit
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- Modern browsers handle image scaling well
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- Single-user CMS doesn't need CDN optimization
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- Can be added later if needed
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## Consequences
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### Positive
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- Automatic optimization improves performance
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- Generous limits support high-quality photography
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- Captions improve accessibility
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- Storage usage remains reasonable
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- Fast processing with Pillow
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### Negative
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- Users cannot upload raw/unprocessed images
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- Some quality loss for images over 2048px
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- No manual control over optimization
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- Additional processing time on upload
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### Neutral
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- Requires Pillow dependency
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- Images stored at single resolution
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- No progressive enhancement (thumbnails)
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## Alternatives Considered
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### Alternative 1: No Optimization
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Accept images as-is, no processing.
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- **Pros**: Simpler, preserves originals
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- **Cons**: Storage bloat, slow page loads, memory issues
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### Alternative 2: Strict Limits (1MB, 1920x1080)
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Match typical web recommendations.
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- **Pros**: Optimal performance, minimal storage
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- **Cons**: Too restrictive for photography, poor UX
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### Alternative 3: Generate Multiple Sizes
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Create thumbnail, medium, and full sizes.
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- **Pros**: Optimal delivery, responsive images
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- **Cons**: Complex implementation, 3x storage, overkill for single-user
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### Alternative 4: Client-side Resizing
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Resize in browser before upload.
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- **Pros**: Reduces server load
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- **Cons**: Inconsistent quality, browser limitations, poor UX
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## Implementation Notes
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1. **Validation Order**:
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- Check file size (reject if >10MB)
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- Check MIME type (accept only allowed formats)
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- Load with Pillow (validates file integrity)
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- Check dimensions (reject if >4096px)
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- Resize if needed (>2048px)
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- Save optimized version
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2. **Error Messages**:
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- "File too large. Maximum size is 10MB"
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- "Invalid image format. Accepted: JPEG, PNG, GIF, WebP"
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- "Image dimensions too large. Maximum is 4096x4096"
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- "Image appears to be corrupted"
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3. **Pillow Configuration**:
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```python
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# Preserve quality during resize
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image.thumbnail((2048, 2048), Image.Resampling.LANCZOS)
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# Correct EXIF orientation
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ImageOps.exif_transpose(image)
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# Save with original quality
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image.save(output, quality=95, optimize=True)
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```
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4. **Caption Implementation**:
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- Add caption field to upload form
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- Store in `note_media.caption`
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- Use as alt text in HTML
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- Include in Microformats markup
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## References
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- [MDN Web Performance: Images](https://developer.mozilla.org/en-US/docs/Web/Performance/images)
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- [Pillow Documentation](https://pillow.readthedocs.io/)
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- [Web.dev Image Optimization](https://web.dev/fast/#optimize-your-images)
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- [Twitter Image Specifications](https://developer.twitter.com/en/docs/twitter-api/v1/media/upload-media/uploading-media/media-best-practices) |