b7b7f57b35
Added comprehensive migration documentation and configuration files for restructuring the application to split frontend/backend: New Documentation: - MIGRATION_GUIDE.md: Complete step-by-step migration instructions - MIGRATION_SUMMARY.md: Quick reference guide for deployment - MIGRATION_CHECKLIST.md: Printable checklist for migration day - DEPLOYMENT_RESTRUCTURE.md: Architecture overview and benefits New Configuration Files: - run_api_server.py: Production WSGI server wrapper using Waitress - ai_qc.service: Systemd service configuration for backend - apache_config.conf: Apache virtual host configuration template Updated Files: - requirements.txt: Added waitress>=2.1.2 for production WSGI server - README.md: Added deployment documentation section Migration Overview: - Split current monolithic structure into separate frontend/backend - Move backend to /opt/ai_qc/ (following server standards) - Keep frontend in /var/www/html/ai_qc/ (single index.html) - Use Apache reverse proxy to connect frontend to backend API - Implement systemd service for reliable backend process management Benefits: - Improved security (backend code not in web root) - Better separation of concerns - Follows industry best practices - Matches existing server app patterns (/opt/veo3, /opt/voice2text) - Easier independent updates of frontend/backend 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
28 lines
585 B
Desktop File
28 lines
585 B
Desktop File
[Unit]
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Description=Visual AI QC Flask Application
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After=network.target
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[Service]
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Type=simple
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User=www-data
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Group=www-data
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WorkingDirectory=/opt/ai_qc
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Environment="ENVIRONMENT=production"
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Environment="PATH=/opt/ai_qc/venv/bin:/usr/local/bin:/usr/bin:/bin"
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ExecStart=/opt/ai_qc/venv/bin/python /opt/ai_qc/run_api_server.py --host localhost --port 7183 --workers 2
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# Restart policy
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Restart=always
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RestartSec=10
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# Security settings
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NoNewPrivileges=true
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PrivateTmp=true
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# Logging
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StandardOutput=journal
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StandardError=journal
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SyslogIdentifier=ai_qc
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[Install]
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WantedBy=multi-user.target
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