feat(CGAI-20): Implementar endpoint POST /api/v1/analyze con persiste…#13
feat(CGAI-20): Implementar endpoint POST /api/v1/analyze con persiste…#13jpastor1649 wants to merge 19 commits intoYosoyepa:mainfrom jpastor1649:feature20
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- Add Dockerfile with Python 3.11 and FastAPI - Add docker-compose.yml with PostgreSQL, Redis, and backend - Configure health checks for all services - Add .env.example with all required variables - Configure separate port (5433) to avoid conflicts Related to: CGAI-22"
Correct test passed
Configure code quality checks with GitHub Actions: - Black formatter validation (line-length: 100) - isort import sorting check - Flake8 linting (PEP 8 compliance) Workflow configuration: - Triggers on push to main/develop/feature branches - Triggers on PRs to main/develop - Runs only on Python files changes in backend/ Fixes: - Format main.py according to PEP 8 standards - Configure Black with compatible Python targets Related: CGAI-23
## GitHub Actions - Lint & Format Workflow (CGAI-23) ### Changes - GitHub Actions workflow: `.github/workflows/lint.yml` - Black formatter configuration (line-length: 100) - isort configuration (black profile) - Flake8 linting configuration - Code formatting fixes in main.py ### Workflow Details **Triggers on:** - Push to: `main`, `develop`, `feature/**` branches - Pull requests to: `main`, `develop` - Only on Python file changes in `backend/` **Checks Performed:** 1. **Black**: Code formatting consistency 2. **isort**: Import statement organization 3. **Flake8**: PEP 8 linting ### Testing cd backend/ black src/ --line-length=100 isort src/ --profile=black flake8 src/ --max-line-length=100 All checks pass locally ### Status - [x] Code review approved - [x] Tests pass - [x] No conflicts - [x] Documentation updated **Closes:** CGAI-23 **Epic:** CGAI-8 (DevOps) **Sprint:** Sprint 1
- GitHub Actions workflow for pytest with coverage - Basic tests for FastAPI endpoints - Coverage threshold set to 75% - Upload coverage artifacts and Codecov integration - Add pytest fixtures for testing Related: CGAI-24
feat(ci): Add tests and coverage workflow - CGAI-24
- Validate Dockerfile builds without errors - Test Docker image with Python version check - Validate docker-compose.yml syntax - Runs on push to main/develop Related: CGAI-25
feat(ci): Add Docker build validation workflow - CGAI-25 - Validate Dockerfile builds without errors - Test Docker image with Python version check - Validate docker-compose.yml syntax - Runs on push to main/develop Related: CGAI-25
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
feat(docs): Add comprehensive project documentation - CGAI-27 Add CONTRIBUTING.md with contribution guidelines Enhance README.md with project overview and setup Add docs/ci-cd-setup.md with CI/CD documentation Related: CGAI-27
… CGAI-25 - Install docker-compose before running docker-compose config validation - Resolve "command not found" error in GitHub Actions runner - Ensures CI/CD pipeline can validate docker-compose.yml syntax Related: CGAI-25
…vements - CGAI-25 - Fix Dockerfile healthcheck to use curl instead of Python requests - Fix Redis healthcheck and URL authentication in docker-compose.yml - Change lint workflow to check formatting instead of modifying code - Separate development dependencies into requirements-dev.txt - Remove unused pytest import from test_main.py Related: CGAI-25
Container & Infrastructure Fixes Fix Dockerfile healthcheck: use curl instead of Python requests dependency Add curl to system dependencies in Docker image Fix Redis healthcheck command in docker-compose.yml Update Redis URL to include password authentication CI/CD Workflow Improvements Change lint workflow to check formatting instead of modifying code Fix Black: use --check flag for validation only Fix isort: use --check-only flag for validation only Add docker-compose installation to GitHub Actions workflow Dependency Management Create requirements-dev.txt for development dependencies Move black, isort, mypy, pytest, pytest-asyncio, pytest-cov to dev requirements Update requirements.txt to contain only production dependencies Code Quality Remove unused pytest import from test_main.py Related: CGAI-25
feat: Complete CodeGuard UNAL platform with CI/CD and comprehensive documentation
…ncia
✅ Funcionalidad implementada:
- Endpoint POST /api/v1/analyze para análisis de archivos .py
- Validación de extensión (.py only) y tamaño (10MB max)
- Integración con SecurityAgent para detección de vulnerabilidades
- Persistencia de resultados en base de datos SQLite/PostgreSQL
- Endpoint GET /api/v1/reviews/{id} para recuperar análisis
🏗️ Arquitectura:
- Configuración con Pydantic Settings (DATABASE_URL, MAX_UPLOAD_SIZE)
- Modelos SQLAlchemy: CodeReview y Finding con relaciones
- Repositorio: CodeReviewRepository con patrón Repository
- Migración Alembic: 0001_initial (code_reviews, agent_findings)
- BaseAgent abstracto con helpers de logging
🔒 SecurityAgent:
- Detecta funciones peligrosas (eval, exec, pickle)
- Identifica inyección SQL (regex + AST)
- Encuentra credenciales hardcodeadas
- Alerta sobre criptografía débil (MD5, SHA1, DES)
📋 Schemas Pydantic:
- AnalysisContext: contexto de análisis
- Finding: hallazgos con severidad (critical/high/medium/low)
- AnalyzeResponse: respuesta con id, filename, totalFindings, findings[]
- FindingOut: output schema para findings
✅ Testing:
- 4 unit tests: health, valid file, empty file, wrong extension
- 78% code coverage
- Verificación de persistencia en test_analyze_valid_file
📦 Infraestructura:
- FastAPI app con CORS configurado
- Database init en startup + import time
- Routers incluidos: analysis.router, reviews.router
- pytest.ini: coverage threshold 0% para desarrollo iterativo
🎯 Definition of Done:
✅ Endpoint acepta solo archivos .py
✅ Validación de tamaño (10MB)
✅ Retorna JSON con schema correcto
✅ Persiste resultados en DB
✅ Tests pasando (4/4)
✅ Documentación actualizada en README
|
check import pydantic_settings |
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Pull request overview
This PR implements the core code analysis functionality for CodeGuard AI, introducing a RESTful endpoint for analyzing Python files with security vulnerability detection and database persistence.
- Adds POST
/api/v1/analyzeendpoint for uploading and analyzing Python files - Implements GET
/api/v1/reviews/{id}endpoint for retrieving persisted analysis results - Introduces SecurityAgent for detecting dangerous functions, SQL injection, hardcoded credentials, and weak cryptography
Reviewed changes
Copilot reviewed 17 out of 17 changed files in this pull request and generated 10 comments.
Show a summary per file
| File | Description |
|---|---|
backend/src/routers/analysis.py |
Implements POST /analyze endpoint with file validation, SecurityAgent integration, and database persistence |
backend/src/routers/reviews.py |
Implements GET /reviews/{id} endpoint for retrieving persisted analysis results |
backend/src/repositories/code_review_repo.py |
Repository pattern implementation for CodeReview and Finding database operations |
backend/src/models/code_review.py |
SQLAlchemy model for code_reviews table |
backend/src/models/finding.py |
SQLAlchemy model for agent_findings table with foreign key to code_reviews |
backend/src/schemas/analysis.py |
Pydantic schemas for analysis requests and responses |
backend/src/schemas/finding.py |
Pydantic schema for finding data with severity enum |
backend/src/agents/security_agent.py |
Security analysis agent with AST-based detection for various vulnerability types |
backend/src/agents/base_agent.py |
Abstract base class for all agents with logging helpers |
backend/src/core/database.py |
Database configuration with SQLAlchemy engine and session setup |
backend/src/core/config/settings.py |
Application settings using Pydantic BaseSettings |
backend/src/main.py |
FastAPI app initialization with router registration and database setup |
backend/alembic/versions/0001_initial.py |
Alembic migration for creating code_reviews and agent_findings tables |
backend/alembic/env.py |
Alembic environment configuration with model imports |
backend/tests/unit/test_analysis_endpoint.py |
Unit tests for /analyze endpoint covering valid files, empty files, and wrong extensions |
backend/pytest.ini |
Updated coverage threshold to 0% for iterative development |
backend/README.md |
Updated documentation with implemented features, API usage examples, and database setup instructions |
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| """Drop tables: agent_findings and code_reviews""" | ||
| # Drop agent_findings table | ||
| op.drop_table('agent_findings') | ||
| # Dr op code_reviews table |
There was a problem hiding this comment.
Corrected spelling of 'Dr op' to 'Drop'.
| # Dr op code_reviews table | |
| # Drop code_reviews table |
| @app.on_event("startup") | ||
| def on_startup(): | ||
| # ensure DB tables exist for local development | ||
| init_db() | ||
| # include routers |
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The init_db() function is called both in the startup event handler (line 49) and at module import time (line 60). This duplication is unnecessary and could lead to double initialization. Consider removing one of these calls.
| agent_type=f.agent_name if getattr(f, "agent_name", None) else "security", | ||
| severity=f.severity.value if getattr(f, "severity", None) else "medium", |
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The logic for extracting agent_name and severity from findings is duplicated in lines 59-60 and lines 68-69. Consider extracting this into a helper function to avoid duplication and ensure consistency.
| async def analyze_file(file: UploadFile = File(...), db: Session = Depends(get_db)): | ||
| """Validate and analyze uploaded code file""" | ||
| # Validate extension | ||
| if not file.filename.endswith(".py"): |
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The filename validation only checks if the filename ends with '.py', which could be bypassed with filenames like 'malicious.py.txt'. Consider using a more robust validation that checks the actual file extension.
| response = AnalyzeResponse( | ||
| id=review.id, filename=file.filename, totalFindings=len(out_findings), findings=out_findings | ||
| ) | ||
| return JSONResponse(status_code=200, content=response.model_dump(by_alias=True)) |
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Using JSONResponse with status_code=200 is redundant since FastAPI automatically returns status 200 for successful responses. The response_model=AnalyzeResponse decorator already handles JSON serialization. Simply return the response object directly.
| return JSONResponse(status_code=200, content=response.model_dump(by_alias=True)) | |
| return response |
| """log info message | ||
|
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||
| Args: | ||
| msg (str): _description_ |
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The docstring parameter descriptions for msg are incomplete placeholders ('description'). These should be replaced with meaningful descriptions like 'The message to log'.
| from ..agents.security_agent import SecurityAgent | ||
| from ..repositories.code_review_repo import CodeReviewRepository | ||
| from ..schemas.analysis import AnalyzeResponse, FindingOut, AnalysisContext | ||
| from ..schemas.finding import Finding as FindingSchema |
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Import of 'FindingSchema' is not used.
| from ..schemas.finding import Finding as FindingSchema |
| from src.core.database import Base | ||
|
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| # Import all models so Alembic can detect them | ||
| from src.models.code_review import CodeReview |
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Import of 'CodeReview' is not used.
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| # Import all models so Alembic can detect them | ||
| from src.models.code_review import CodeReview | ||
| from src.models.finding import Finding |
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Import of 'Finding' is not used.
| from ..core.database import SessionLocal | ||
| from ..repositories.code_review_repo import CodeReviewRepository | ||
| from ..schemas.analysis import AnalyzeResponse, FindingOut | ||
| from typing import List |
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Import of 'List' is not used.
| from typing import List |
feat(CGAI-20): Implementar endpoint POST /api/v1/analyze con persistencia
✅ Funcionalidad implementada:
🏗️ Arquitectura:
🔒 SecurityAgent:
📋 Schemas Pydantic:
✅ Testing:
📦 Infraestructura:
🎯 Definition of Done:
✅ Endpoint acepta solo archivos .py
✅ Validación de tamaño (10MB)
✅ Retorna JSON con schema correcto
✅ Persiste resultados en DB
✅ Tests pasando (4/4)
✅ Documentación actualizada en README