Created 4 new "_general" QC check modules optimized for digital static assets:
- visual_hierarchy_general: Digital hierarchy assessment (removed POS/physical viewing distances)
- product_visibility_general: Digital product presentation (removed POS terminology)
- logo_visibility_general: Digital logo prominence (removed 3m/1m viewing distance requirements)
- call_to_action_general: Digital CTA effectiveness (added clickability and mobile considerations)
Updated Static General profile (static_general.json):
- Now includes 10 AI vision-focused checks
- Even weighting: 1.0 per check for 100-point scale
- Total weight: 10.0 for proper scoring calculation
- All checks assigned to Gemini LLM
- Updated description to clarify focus on AI vision capabilities
Profile focuses exclusively on checks that only AI vision models can perform,
excluding physical file properties that Twist system handles (file size, format,
resolution, naming, aspect ratio, bleed, crop marks, etc.).
10 checks in Static General profile:
1. text_readability_general
2. background_contrast_general
3. language_consistency
4. visual_hierarchy_general (NEW)
5. element_alignment
6. product_visibility_general (NEW)
7. logo_visibility_general (NEW)
8. call_to_action_general (NEW)
9. accessibility
10. inclusive
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
## New Features
### L'Oréal Static General Profile
- Created new profile with 3 checks optimized for digital marketing assets
- Even weighting (33.3% each) for 100-point scoring scale
- Removed print-specific requirements (3m viewing distance)
- Focus on marketing text vs product packaging distinction
### Multi-File Queue System (web_ui.html)
- Added file queue functionality for batch processing
- Users can now upload and process multiple files simultaneously
- Queue displays file status (pending, analyzing, complete, error)
- Individual file removal and queue clearing options
- Progress tracking for batch operations
### New General QC Checks
1. background_contrast_general
- Optimized for digital assets (no distance requirements)
- Checks logo, product, and marketing text contrast
- Detects overlapping and blending issues
- Provides element-by-element breakdown
2. text_readability_general
- Focus on marketing text only (excludes product packaging)
- Checks for overlapping elements
- Digital readability optimization
- Specific issue identification
3. language_consistency (enhanced)
- Better distinction between marketing and packaging text
- Detailed language detection and reporting
- Lists specific text analyzed
### Usage Tracking System
- Added usage_tracker.py for analysis logging
- Tracks user activity, profile usage, and costs
- Daily log files in JSONL format
- Cost estimation per LLM provider
## Bug Fixes
### Authentication & User Management
- Fixed Flask 'g' import missing issue
- Fixed user info access in background threads
- Pass user_info to threads instead of accessing g.user
- Improved error handling for usage logging
### HTML Report Generation
- Fixed missing analysis details in reports
- Now extracts and displays all JSON fields properly
- Shows comprehensive breakdowns:
- Analysis details
- Elements checked (logo, product, text)
- Marketing text found
- Issues identified
- Specific recommendations
- No more blank "Pass/Fail" results
### Scoring System
- Fixed usage_tracker to handle dict of check results (not list)
- Better handling of model_used field variations
- Skip non-dict check results gracefully
## Configuration Changes
### Model Versions (llm_config.py)
- Fixed invalid GPT-4.1 model ID to gpt-4o
- Added Gemini 3 Pro beta model option
- AVAILABLE_MODELS dict for UI selection
- Model version override support
### Profile Updates
- Static General: 3 checks, total weight 10.0
- Each check: text_readability_general (3.33), background_contrast_general (3.33), language_consistency (3.34)
- Maximum score: 100 points
## Technical Improvements
- Enhanced prompt engineering for consistent LLM outputs
- Mandatory detailed explanations in all checks
- Structured JSON responses with comprehensive fields
- Better error messages and fallback handling
- Client configuration support (client_config.py)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
