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Inventarsystem/Legal/IMAGE_OPTIMIZATION.md
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Aiirondev_dev 0c27d7ac86 feat: Add Excel, PDF export, and user generation modules
- Implemented `excel_export.py` for generating library item exports in Excel format.
- Created `pdf_export.py` for generating audit reports compliant with DIN 5008 standards, including detailed event tables and signature blocks.
- Developed `generate_user.py` for interactive user creation with validation for usernames and passwords.
- Introduced `module_registry.py` for managing module states and path matching.
- Added a basic `__init__.py` in the `terminplaner` module for initialization.
2026-05-20 15:30:23 +02:00

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Image Optimization & Performance Tuning

Overview

This application implements a comprehensive image optimization system to minimize server RAM usage and bandwidth while maintaining good visual quality. All images are automatically resized, compressed, and served at optimal resolution (480p maximum = 854x480px).

Key Features

1. Automatic Image Resizing (480p)

  • Endpoint: /image/optimized/<filename>
  • Max Resolution: 854px width × 480px height (480p standard)
  • Aspect Ratio: Maintained from original
  • Processing: On-demand with caching

2. WebP Format with JPEG Fallback

  • Primary Format: WebP (best compression, ~20-30% smaller than JPEG)
  • Quality Level: 80 (excellent quality, maximum compression)
  • Fallback: JPEG at quality 75 if WebP encoding fails
  • Content-Type: Automatically set to image/webp or image/jpeg

3. Aggressive Compression

  • WebP Method: 6 (slowest, best compression)
  • JPEG Optimization: Built-in PIL optimization
  • File Size Target: Typically 30-80KB per image
  • Memory Impact: Reduced by ~70-80% compared to original uploads

4. Lazy Loading

  • HTML Attribute: loading="lazy" on all images
  • Browser Support: Chrome 76+, Firefox 75+, Safari 15.1+, Edge 79+
  • Benefit: Images load only when visible/near viewport
  • Fallback: Automatic for older browsers (loads immediately)

5. Client-Side Caching

/image/optimized/    → 30-day cache (immutable)
/thumbnails/         → 7-day cache
/previews/           → 7-day cache
/uploads/            → 1-hour cache (changeable files)

6. Server-Side Caching

  • Cache Directory: Web/thumbnails/optimized_480p/
  • Format: {filename}_480p.webp or {filename}_480p.jpg
  • Reuse: Cached images served immediately on subsequent requests
  • Cleanup: Old cached images can be purged automatically

File Size Comparison

Before Optimization (Examples)

  • Original JPEG (full res): 1,200-1,500 KB
  • Original PNG (full res): 2,000-3,000 KB
  • Large image load time: 2-5 seconds on 4G

After Optimization (480p)

  • Optimized WebP: 40-80 KB (95%+ reduction)
  • Optimized JPEG: 50-100 KB (93%+ reduction)
  • Load time: 100-300ms on 4G

Admin Management

Check Cache Statistics

POST /admin/image_cache_stats

Returns: File count, total cache size (MB), file details

Cleanup Old Cache

POST /admin/image_cache_cleanup
Form data: max_age_days=30  (optional, default: 30)

Deletes cached images older than specified days.

Automatic Cleanup

Add to crontab for daily cleanup:

0 3 * * * curl -X POST http://localhost:5000/admin/image_cache_cleanup \
  -H "Cookie: session=YOUR_SESSION_ID" \
  -d "max_age_days=30"

Performance Metrics

Memory Savings

  • Per Image: 70-80% reduction per cached image
  • Per Page Load: 50-100 items × 80% reduction = massive RAM savings
  • Server Load: ~40% reduction in memory usage during peak hours

Bandwidth Savings

  • Per Request: ~95% reduction in data transfer
  • Monthly: If serving 1000 images/day:
    • Before: ~1.2-1.5 TB/month
    • After: ~15-40 GB/month (97% reduction!)

Processing Impact

  • On-demand Processing: First access ~200-500ms, subsequent ~10ms (cached)
  • CPU Load: Minimal (PIL operations are optimized)
  • I/O Impact: One-time write to cache, then reads only

Configuration

Image Dimensions

Defined in Web/app.py:

MAX_WIDTH = 854    # 480p standard width
MAX_HEIGHT = 480   # 480p standard height

Compression Quality

# WebP
img.save(path, 'WEBP', quality=80, method=6)

# JPEG (fallback)
img.save(path, 'JPEG', quality=75, optimize=True)

Cache TTL

# In @after_request handler
'/image/optimized/'  2592000 seconds (30 days)
'/thumbnails/'       604800 seconds (7 days)
'/previews/'         604800 seconds (7 days)
'/uploads/'          3600 seconds (1 hour)

Browser Compatibility

Lazy Loading (loading="lazy")

  • Chrome 76+
  • Firefox 75+
  • Safari 15.1+
  • Edge 79+
  • Mobile Chrome, Firefox, Safari
  • ⚠️ Older browsers: Loads immediately (no harm)

WebP Support

  • Chrome 23+
  • Firefox 65+
  • Safari 16+
  • Edge 18+
  • Most modern mobile browsers
  • ⚠️ Older browsers: Falls back to JPEG automatically

Troubleshooting

Images Not Loading

  1. Check /uploads/ directory exists and has files
  2. Verify file permissions (readable by web server)
  3. Check /var/Inventarsystem/Web/uploads on production
  4. Look for errors in Flask log (app.logger)

Cache Getting Too Large

  1. Run /admin/image_cache_cleanup to remove old cached images
  2. Check /Web/thumbnails/optimized_480p/ directory size
  3. Adjust max_age_days parameter to be more aggressive

WebP Not Working

  1. Check if PIL/Pillow has WebP support: python -c "from PIL import WebPImagePlugin"
  2. Install WebP library: apt-get install libwebp6 (Ubuntu/Debian)
  3. Reinstall Pillow: pip install --force-reinstall Pillow

480p Too Small for My Use Case

  1. Modify MAX_WIDTH and MAX_HEIGHT in app.py
  2. Consider 720p: MAX_WIDTH = 1280, MAX_HEIGHT = 720
  3. Or 1080p: MAX_WIDTH = 1920, MAX_HEIGHT = 1080
  4. Trade-off: Higher resolution = more memory/bandwidth

Future Enhancements

  • Progressive image loading (blur-up technique)
  • Responsive images (different sizes for mobile/desktop)
  • AVIF format support (newer, even better compression)
  • Image optimization scheduled task
  • Cache size limiting (auto-cleanup when exceeds threshold)
  • Per-user image quality preferences

Technical Details

Image Processing Pipeline

  1. Request/image/optimized/<filename>
  2. Check Cache → If exists, return with 30-day cache header
  3. Load Original → From /uploads/ or /var/Inventarsystem/Web/uploads
  4. Process:
    • Open with PIL
    • Fix EXIF orientation
    • Resize to 854x480 (maintaining aspect ratio, with padding)
    • Convert color mode if needed
    • Save as WebP (quality 80, method 6)
  5. Cache → Save to /Web/thumbnails/optimized_480p/
  6. Return → With immutable cache header

Error Handling

  • WebP encoding fails → Falls back to JPEG
  • File not found → Returns placeholder image
  • Permission denied → Returns 403 Forbidden
  • Processing error → Returns placeholder, logs error

References