bpmcdevitt
a6fb367ed4
- 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
463 B
Python
17 lines
No EOL
463 B
Python
from datetime import datetime
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from typing import List, Optional
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from pydantic import BaseModel
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class CVEResponse(BaseModel):
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id: str
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cve_id: str
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description: Optional[str] = None
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cvss_score: Optional[float] = None
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severity: Optional[str] = None
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published_date: Optional[datetime] = None
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affected_products: Optional[List[str]] = None
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reference_urls: Optional[List[str]] = None
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class Config:
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from_attributes = True |