refactor: modularize backend architecture for improved maintainability
- Extract database models from monolithic main.py (2,373 lines) into organized modules
- Implement service layer pattern with dedicated business logic classes
- Split API endpoints into modular FastAPI routers by functionality
- Add centralized configuration management with environment variable handling
- Create proper separation of concerns across data, service, and presentation layers
**Architecture Changes:**
- models/: SQLAlchemy database models (CVE, SigmaRule, RuleTemplate, BulkProcessingJob)
- config/: Centralized settings and database configuration
- services/: Business logic (CVEService, SigmaRuleService, GitHubExploitAnalyzer)
- routers/: Modular API endpoints (cves, sigma_rules, bulk_operations, llm_operations)
- schemas/: Pydantic request/response models
**Key Improvements:**
- 95% reduction in main.py size (2,373 → 120 lines)
- Updated 15+ backend files with proper import structure
- Eliminated circular dependencies and tight coupling
- Enhanced testability with isolated service components
- Better code organization for team collaboration
**Backward Compatibility:**
- All API endpoints maintain same URLs and behavior
- Zero breaking changes to existing functionality
- Database schema unchanged
- Environment variables preserved
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
bpmcdevitt
a6fb367ed4