ai_qc

Oliver/ai_qc

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Author	SHA1	Message	Date
nickviljoen	ed0c362683	Update cost estimate to reflect actual usage (50x more accurate) Issue: UI showed estimated cost of $0.15 per check, but actual usage data shows average cost of only $0.003 per check - a 50x difference! Analysis from actual usage report: - L'Oreal: 2 analyses, 6 checks total - Cost: $0.02 total = $0.003 per check - Old estimate: $0.15 per check (way too high) - New estimate: $0.01 per check (conservative but realistic) Changes: - Updated cost calculation from 0.15 to 0.01 per check - Updated display text from "$0.15 each" to "~$0.01 each" - Applied to both web_ui.html and frontend/index.html Example: - Before: 3 checks = $0.45 estimated - After: 3 checks = $0.03 estimated - Actual: 3 checks = ~$0.01 (based on real usage) New estimate is much closer to reality and based on actual Gemini API usage data from production analyses. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>	2026-02-02 13:43:50 +02:00
nickviljoen	3fec052c12	Create frontend and backend folder structure for deployment Organized the application into separate frontend and backend directories for cleaner deployment and better separation of concerns. Frontend Directory (frontend/): - index.html: Single-page web interface (renamed from web_ui.html) - README.md: Frontend deployment guide - Total size: ~113 KB (self-contained) - Smart base path detection (works at / or /ai_qc/) - No configuration changes required Backend Directory (backend/): - All Python files (api_server.py, llm_config.py, etc.) - visual_qc_apps/: 33 QC check modules - profiles/: 6 QC profile configurations - brand_guidelines/: Reference asset storage - config/: Environment configurations - scripts/: Deployment automation - uploads/, output/: Data directories - requirements.txt, ai_qc.service, apache_config.conf - Complete documentation New Documentation: - FOLDER_STRUCTURE.md: Comprehensive guide to new structure - frontend/README.md: Frontend deployment instructions - backend/BACKEND_README.md: Backend deployment guide Deployment Mapping: - frontend/ → /var/www/html/ai_qc/ (web root) - backend/ → /opt/ai_qc/ (application directory) Benefits: - Clear separation of concerns - Backend code not in web-accessible directory - Independent frontend/backend updates - Matches server's existing patterns (/opt/veo3, /opt/voice2text) - Industry-standard architecture - Easy to deploy and maintain Original files preserved in root directory for reference. Ready for production deployment following MIGRATION_GUIDE.md. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-11-06 11:55:53 +02:00

Author

SHA1

Message

Date

nickviljoen

ed0c362683

Update cost estimate to reflect actual usage (50x more accurate)

Issue: UI showed estimated cost of $0.15 per check, but actual
usage data shows average cost of only $0.003 per check - a 50x
difference!

Analysis from actual usage report:
- L'Oreal: 2 analyses, 6 checks total
- Cost: $0.02 total = $0.003 per check
- Old estimate: $0.15 per check (way too high)
- New estimate: $0.01 per check (conservative but realistic)

Changes:
- Updated cost calculation from 0.15 to 0.01 per check
- Updated display text from "$0.15 each" to "~$0.01 each"
- Applied to both web_ui.html and frontend/index.html

Example:
- Before: 3 checks = $0.45 estimated
- After: 3 checks = $0.03 estimated
- Actual: 3 checks = ~$0.01 (based on real usage)

New estimate is much closer to reality and based on actual
Gemini API usage data from production analyses.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

2026-02-02 13:43:50 +02:00

nickviljoen

3fec052c12

Create frontend and backend folder structure for deployment

Organized the application into separate frontend and backend directories for cleaner deployment and better separation of concerns.

Frontend Directory (frontend/):
- index.html: Single-page web interface (renamed from web_ui.html)
- README.md: Frontend deployment guide
- Total size: ~113 KB (self-contained)
- Smart base path detection (works at / or /ai_qc/)
- No configuration changes required

Backend Directory (backend/):
- All Python files (api_server.py, llm_config.py, etc.)
- visual_qc_apps/: 33 QC check modules
- profiles/: 6 QC profile configurations
- brand_guidelines/: Reference asset storage
- config/: Environment configurations
- scripts/: Deployment automation
- uploads/, output/: Data directories
- requirements.txt, ai_qc.service, apache_config.conf
- Complete documentation

New Documentation:
- FOLDER_STRUCTURE.md: Comprehensive guide to new structure
- frontend/README.md: Frontend deployment instructions
- backend/BACKEND_README.md: Backend deployment guide

Deployment Mapping:
- frontend/ → /var/www/html/ai_qc/ (web root)
- backend/ → /opt/ai_qc/ (application directory)

Benefits:
- Clear separation of concerns
- Backend code not in web-accessible directory
- Independent frontend/backend updates
- Matches server's existing patterns (/opt/veo3, /opt/voice2text)
- Industry-standard architecture
- Easy to deploy and maintain

Original files preserved in root directory for reference.
Ready for production deployment following MIGRATION_GUIDE.md.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-11-06 11:55:53 +02:00

2 commits