- 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>
17 lines
No EOL
411 B
Python
17 lines
No EOL
411 B
Python
from sqlalchemy import create_engine
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from sqlalchemy.orm import sessionmaker, Session
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from .settings import settings
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# Database setup
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engine = create_engine(settings.DATABASE_URL)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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def get_db() -> Session:
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"""Dependency to get database session"""
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close() |