- Create users table with Clerk ID, role, rate limiting fields
- Create code_reviews table with encrypted code storage
- Create agent_findings table with severity and metrics
- Add PostgreSQL ENUMs: userrole, reviewstatus, severityenum
- Add indexes for performance optimization
- Configure cascade delete for data integrity

Migration ID: ba48c1bb8e18
Related CGAI-15

feat(database): integrate Supabase PostgreSQL with SQLAlchemy models and Alembic migrations

… de ajustar a flake8

- Add ClerkClient for JWT validation with HS256 algorithm
- Add UserRepository for CRUD operations on users table
- Add AuthService to orchestrate login and token validation
- Add auth dependency (get_current_user, get_optional_user)
- Add /api/v1/auth/login and /api/v1/auth/me endpoints
- Sync users from Clerk to Supabase on login
- Add email-validator dependency for pydantic EmailStr

Closes CGAI-28

…workflow

…rkflow

feat(auth): Clerk JWT authentication with Supabase user sync

- Add ClerkClient for JWT validation with HS256 algorithm
- Add UserRepository for CRUD operations on users table
- Add AuthService to orchestrate login and token validation
- Add auth dependency (get_current_user, get_optional_user)
- Add /api/v1/auth/login and /api/v1/auth/me endpoints
- Sync users from Clerk to Supabase on login
- Add email-validator dependency for pydantic EmailStr

Closes CGAI-28

- Add 12 tests for UserRepository (get_by_id, create, update, delete)
- Add 10 tests for UserEntity (can_analyze, increment_analysis_count)
- Add 9 integration tests for auth endpoints (/login, /me)
- Coverage increased from 92% to 96%

- Add tests for CodeReviewEntity (__repr__, calculate_quality_score)
- Add tests for AgentFindingEntity (penalty, to_dict, __repr__)
- Add tests for get_db dependency (session lifecycle)
- Fix auth router tests to accept 401/403 for missing token
- Fix severity assertion to expect uppercase enum values

Coverage improvements:
- code_review.py: 89% -> 100%
- finding.py: 88% -> 100%
- get_db.py: 50% -> 100%

Total: 175 tests, 97.46% coverage

- Add tests for CodeReviewEntity (__repr__, calculate_quality_score)
- Add tests for AgentFindingEntity (penalty, to_dict, __repr__)
- Add tests for get_db dependency (session lifecycle)
- Fix auth router tests to accept 401/403 for missing token
- Fix severity assertion to expect uppercase enum values

Coverage improvements:
- code_review.py: 89% -> 100%
- finding.py: 88% -> 100%
- get_db.py: 50% -> 100%

Total: 175 tests, 97.46% coverage

…yleAgent-analisis-integral-de-estilo-PEP-8

- Implementar PylintAnalyzer y Flake8Analyzer para análisis externo
- Agregar detección de convenciones de nombres (snake_case, PascalCase)
- Agregar detección de imports duplicados y no usados
- Agregar detección de docstrings faltantes
- Agregar detección de líneas largas y trailing whitespace
- Emitir eventos AGENT_STARTED/COMPLETED/FAILED
- Ordenar findings por line_number (ascendente)
- Usar categorías de issue_type: style/pep8, style/documentation,
  style/imports, style/naming
- Agregar tests unitarios para StyleAgent (23 tests)
- Agregar tests de integración para StyleAgent (15 tests)
- Agregar tests para PylintAnalyzer y Flake8Analyzer
- Cobertura total: 94.66% (279 tests passing)

BREAKING CHANGE: ninguno

Closes CGAI-29

- Eliminar métodos de cobertura de código no utilizados
- Añadir pruebas de integración completas (5 tests pasados)
- Cobertura de pruebas unitarias alcanzada: 96%
- Eliminar credenciales hardcodeadas en scripts de prueba
- Verificar integración exitosa con el servicio de análisis

Related: CGAI-30-QualityAgent-code-quality-analysis

…ttps://github.com/Yosoyepa/CodeGuardAI into feature/CGAI-30-QualityAgent-code-quality-analysis

…d in analysis process

Refactor(test_analysis_service): mock StyleAgent in tests for comprehensive agent coverage

…): clean up imports and improve logging format

…e-quality-analysis

Feature/cgai 30 quality agent code quality analysis

- Agregar OrchestratorAgent para coordinar ejecución de agentes

Related CGAI-13

… eficiencia

- Añadir PerformanceAgent para detectar complejidad algorítmica (bucles anidados O(n^2), O(n^3))
- Implementar detección de fugas de recursos (uso de open/socket sin context managers)
- Agregar validaciones para patrones N+1 queries y operaciones ineficientes en colecciones
- Integrar el agente en el flujo principal de AnalysisService para ejecución paralela
- Incluir pruebas unitarias

Relacionado con CGAI-31

…-code-performance-analysis

Feature/cgai 31 performance agent code performance analysis

…ltiples agentes y agregar sus hallazgos.

Implementación de la lógica en AnalysisService para utilizar OrchestratorAgent en lugar de agentes individuales.

…OrchestratorAgent(paralelo)

… orquestación de agentes.

Removed the Performance Agent analysis from the orchestrator process.

Feature/cgai 13 orchestator

- Add GeminiClient for Vertex AI integration with gemini-1.5-flash/pro models
- Implement Model Context Protocol (MCP) with OWASP Top 10 security contexts
- Create AIService as orchestrator for AI-powered code analysis
- Add SecurityContext dataclass for structured prompt engineering
- Fix Clerk JWT authentication to support HS256 with Custom JWT Templates
- Update auth_service to use standard 'sub' claim from JWT payload
- Fix Severity enum to use uppercase values matching database schema
- Add comprehensive unit tests for AI components (88%+ coverage)
- Configure GCP credentials for Vertex AI authentication

BREAKING CHANGE: Severity enum values changed from lowercase to UPPERCASE

Closes CGAI-32

…tegration-GenerativeAI

- Change severity ordering list from lowercase to UPPERCASE in performance_agent.py
- Update expected_order in integration test to match Severity enum values
- Fixes ValueError: 'HIGH' is not in list during findings sorting

The Severity enum uses UPPERCASE values ('CRITICAL', 'HIGH', etc.) but the
sorting list used lowercase, causing index lookup failures.

Fixes 2 failing tests:
- test_comprehensive_performance_detection
- test_detect_triple_nested_loops_critical

…mprove formatting

…rativeAI

feat(ai): integrate Vertex AI Gemini with MCP for code analysis