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# DevBox Architecture Proposal: CLI + Microservices
## Overview
Transform DevBox from a monolithic CLI into a lightweight client that communicates with dedicated microservices for advanced features, providing better security, maintainability, and role-based access control.
## Current Problem
- **Security Risk**: All implementation exposed in downloadable CLI
- **Maintenance Burden**: Updates require CLI redistribution
- **No Access Control**: Anyone with CLI has access to all features
- **Scalability Issues**: CLI handles everything locally
- **Privacy Concerns**: Sensitive operations happen on client machines
## Proposed Solution
### Architecture Overview
```
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ DevBox CLI │ │ DevBox API │ │ Microservices │
│ (Lightweight) │◄──►│ Gateway │◄──►│ (Internal) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Local Setup │ │ Authentication │ │ Code Review │
│ Basic Commands │ │ Authorization │ │ CI/CD Pipeline │
│ Docker Mgmt │ │ Rate Limiting │ │ AI Services │
└─────────────────┘ └─────────────────┘ └─────────────────┘
```
## Component Breakdown
### 1. DevBox CLI (Lightweight Client)
**Responsibilities:**
- Basic local environment setup
- Docker container management
- Simple service start/stop/status
- API communication for advanced features
- Local configuration management
**Features:**
```bash
# Basic local operations (stay in CLI)
devbox init # Local environment setup
devbox start/stop/status # Container management
devbox deinit # Cleanup
# Advanced features (delegate to microservices)
devbox review --component=chat # → Code Review Service
devbox package --component=chat # → CI/CD Service
devbox deploy --env=staging # → Deployment Service
devbox ai --prompt="..." # → AI Service
```
### 2. DevBox API Gateway
**Responsibilities:**
- Authentication & Authorization
- Rate limiting
- Request routing
- API versioning
- Logging & monitoring
- SSL termination
**Authentication Flow:**
```
1. CLI authenticates with API Gateway
2. Gateway validates credentials
3. Gateway checks permissions for requested feature
4. Gateway routes request to appropriate microservice
5. Microservice processes request and returns result
```
### 3. Microservices Architecture
#### A. Code Review Service
- **Purpose**: OpenAI-powered code reviews
- **Endpoints**: `/api/v1/review/analyze`, `/api/v1/review/reports`
- **Permissions**: `code_review:read`, `code_review:write`
- **Features**:
- File analysis
- Report generation
- Historical tracking
- Team collaboration
#### B. CI/CD Pipeline Service
- **Purpose**: Build, test, and deployment automation
- **Endpoints**: `/api/v1/cicd/build`, `/api/v1/cicd/deploy`, `/api/v1/cicd/status`
- **Permissions**: `cicd:build`, `cicd:deploy`, `cicd:read`
- **Features**:
- Docker image building
- Integration testing
- Deployment management
- Pipeline orchestration
#### C. AI Services
- **Purpose**: AI-powered development assistance
- **Endpoints**: `/api/v1/ai/chat`, `/api/v1/ai/generate`, `/api/v1/ai/analyze`
- **Permissions**: `ai:chat`, `ai:generate`, `ai:analyze`
- **Features**:
- Code generation
- Documentation assistance
- Bug analysis
- Performance optimization
#### D. Authentication Service
- **Purpose**: User management and authentication
- **Endpoints**: `/api/v1/auth/login`, `/api/v1/auth/refresh`, `/api/v1/auth/permissions`
- **Features**:
- JWT token management
- Role-based access control
- Permission management
- Session handling
## Implementation Strategy
### Phase 1: CLI Refactoring
#### 1.1 Extract Core Features
```bash
# Keep in CLI (local operations)
- Environment setup (Docker, networking)
- Container management (start/stop/status)
- Basic configuration
- Local file operations
# Move to microservices
- Code review (OpenAI integration)
- CI/CD operations
- AI-powered features
- Deployment management
```
#### 1.2 Add API Communication Layer
```bash
# New CLI structure
devbox/
├── core/ # Local operations
├── api/ # API communication
├── auth/ # Authentication handling
├── config/ # Configuration management
└── commands/ # Command implementations
```
#### 1.3 Implement Authentication
```bash
# Authentication flow
devbox auth login --username=user --password=pass
devbox auth status
devbox auth logout
devbox auth refresh
```
### Phase 2: Microservices Development
#### 2.1 API Gateway
```yaml
# docker-compose.yml for development
version: '3.8'
services:
api-gateway:
image: nginx:alpine
ports:
- "8080:80"
volumes:
- ./gateway/nginx.conf:/etc/nginx/nginx.conf
- ./gateway/ssl:/etc/nginx/ssl
depends_on:
- auth-service
- review-service
- cicd-service
- ai-service
auth-service:
build: ./services/auth
environment:
- JWT_SECRET=your-secret-key
- DATABASE_URL=postgresql://user:pass@db:5432/devbox
review-service:
build: ./services/review
environment:
- OPENAI_API_KEY=${OPENAI_API_KEY}
- REDIS_URL=redis://redis:6379
cicd-service:
build: ./services/cicd
environment:
- DOCKER_HOST=unix:///var/run/docker.sock
- JENKINS_URL=${JENKINS_URL}
ai-service:
build: ./services/ai
environment:
- OPENAI_API_KEY=${OPENAI_API_KEY}
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
```
#### 2.2 Service Communication
```bash
# CLI API calls
curl -X POST "https://api.devbox.com/v1/review/analyze" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{
"component": "chat",
"files": ["src/main.py", "src/utils.py"],
"options": {
"severity": ["critical", "warning"],
"include_suggestions": true
}
}'
```
### Phase 3: Role-Based Access Control
#### 3.1 Permission System
```yaml
# permissions.yaml
roles:
developer:
permissions:
- code_review:read
- cicd:build
- ai:chat
- ai:analyze
senior_developer:
permissions:
- code_review:read
- code_review:write
- cicd:build
- cicd:deploy
- ai:chat
- ai:analyze
- ai:generate
devops:
permissions:
- cicd:build
- cicd:deploy
- cicd:admin
- deployment:read
- deployment:write
admin:
permissions:
- "*" # All permissions
```
#### 3.2 Feature Access Control
```bash
# CLI checks permissions before making API calls
devbox review --component=chat
# CLI checks: user has 'code_review:read' permission
# If yes: proceed with API call
# If no: show permission denied error
devbox deploy --environment=production
# CLI checks: user has 'cicd:deploy' permission
# If yes: proceed with deployment
# If no: show permission denied error
```
## Security Benefits
### 1. **Code Protection**
- Sensitive implementation hidden in microservices
- CLI only contains basic setup and API communication
- No exposure of AI prompts, CI/CD logic, or security configurations
### 2. **Access Control**
- Role-based permissions for different features
- Authentication required for advanced operations
- Audit trails for all API calls
- Rate limiting to prevent abuse
### 3. **Data Privacy**
- Sensitive data processed on secure servers
- No local storage of API keys or credentials
- Encrypted communication between CLI and services
- Compliance with data protection regulations
## Maintenance Benefits
### 1. **Independent Updates**
- Microservices can be updated independently
- CLI updates only needed for basic functionality
- Feature rollouts without CLI redistribution
- A/B testing capabilities
### 2. **Scalability**
- Services can be scaled independently
- Load balancing across multiple instances
- Geographic distribution for better performance
- Resource optimization based on usage patterns
### 3. **Monitoring & Analytics**
- Centralized logging and monitoring
- Usage analytics and insights
- Performance metrics for each service
- Error tracking and alerting
## Migration Strategy
### Step 1: CLI Refactoring (Week 1-2)
```bash
# 1. Extract API communication layer
# 2. Add authentication handling
# 3. Implement permission checking
# 4. Create service stubs for testing
```
### Step 2: Basic Microservices (Week 3-4)
```bash
# 1. Set up API Gateway
# 2. Implement Authentication Service
# 3. Create Code Review Service
# 4. Add basic CI/CD Service
```
### Step 3: Advanced Features (Week 5-6)
```bash
# 1. Implement AI Services
# 2. Add comprehensive RBAC
# 3. Set up monitoring and logging
# 4. Performance optimization
```
### Step 4: Production Deployment (Week 7-8)
```bash
# 1. Security hardening
# 2. Load testing
# 3. Documentation updates
# 4. User training and migration
```
## CLI Commands After Migration
### Basic Commands (Local)
```bash
devbox init # Local environment setup
devbox start --component=chat # Start local containers
devbox stop --component=chat # Stop local containers
devbox status # Show local status
devbox deinit # Cleanup local environment
```
### Authentication Commands
```bash
devbox auth login # Authenticate with DevBox API
devbox auth status # Show authentication status
devbox auth logout # Logout from DevBox API
devbox auth refresh # Refresh authentication token
```
### Advanced Commands (API-based)
```bash
devbox review --component=chat # AI-powered code review
devbox package --component=chat # Build and package code
devbox deploy --env=staging # Deploy to environment
devbox ai --prompt="..." # AI assistance
devbox pipeline --action=build # CI/CD pipeline operations
```
### Configuration Commands
```bash
devbox config set api.url=https://api.devbox.com
devbox config set auth.token=your-token
devbox config show # Show current configuration
devbox config reset # Reset to defaults
```
## Benefits Summary
### For Platform Developers
- **Security**: Sensitive code protected in microservices
- **Control**: Role-based access to features
- **Analytics**: Usage insights and monitoring
- **Scalability**: Independent service scaling
### For End Users
- **Privacy**: Secure processing of sensitive data
- **Performance**: Optimized service delivery
- **Reliability**: Centralized monitoring and support
- **Features**: Access to advanced AI and CI/CD capabilities
### For Maintenance
- **Updates**: Independent service updates
- **Monitoring**: Centralized logging and alerting
- **Support**: Better error tracking and resolution
- **Compliance**: Audit trails and security controls
This architecture provides the perfect balance between functionality, security, and maintainability while enabling future growth and feature expansion.

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# DevBox CLI Build & Deploy Features
## Overview
The DevBox CLI now includes powerful build and deploy capabilities that enable developers to build Docker images locally and deploy them to Freeleaps environments through API integration. This creates a complete development-to-deployment workflow.
## Architecture
### Build System
```
Local Source Code → Docker Build → Local Image Registry → Deployment
```
### Deployment System
```
Local Images → Freeleaps API → Environment Deployment → Status Monitoring
```
## New Commands
### 1. `devbox build` - Local Docker Building
Builds Docker images for Freeleaps components locally.
#### Usage
```bash
# Build all components
devbox build
# Build specific component
devbox build --component=chat
# Build with custom image tag
devbox build --image-tag=v1.2.3
# Build with custom repository
devbox build --image-repo=my-registry --image-tag=latest
```
#### Features
- **Multi-component building**: Build all components or specific ones
- **Automatic tagging**: Timestamp-based tags or custom tags
- **Build validation**: Checks for Dockerfiles and build context
- **Retry mechanisms**: Handles transient build failures
- **Progress reporting**: Detailed build status for each component
### 2. `devbox deploy` - Deployment to Freeleaps
Deploys Docker images to Freeleaps environments via API.
#### Usage
```bash
# Deploy all components
devbox deploy --image-tag=v1.2.3 --auth-token=your-token
# Deploy specific component
devbox deploy --component=chat --image-tag=v1.2.3 --auth-token=your-token
# Deploy to production
devbox deploy --environment=production --image-tag=v1.2.3 --auth-token=your-token
# Deploy with custom API endpoint
devbox deploy --api-endpoint=https://api.freeleaps.com --image-tag=v1.2.3 --auth-token=your-token
```
#### Features
- **Environment targeting**: Deploy to staging, production, or custom environments
- **API integration**: Secure deployment via Freeleaps API
- **Status monitoring**: Track deployment progress
- **Authentication**: Bearer token-based authentication
- **Error handling**: Comprehensive error reporting and recovery
### 3. `devbox build-deploy` - Combined Workflow
Builds and deploys in a single command for maximum efficiency.
#### Usage
```bash
# Build and deploy all components
devbox build-deploy --auth-token=your-token
# Build and deploy specific component
devbox build-deploy --component=chat --auth-token=your-token
# Deploy only (skip build)
devbox build-deploy --skip-build=true --image-tag=v1.2.3 --auth-token=your-token
# Build and deploy to production
devbox build-deploy --environment=production --auth-token=your-token
```
#### Features
- **One-command workflow**: Build and deploy in a single operation
- **Flexible execution**: Can skip build or deploy steps
- **Atomic operations**: Ensures consistency between build and deploy
- **Progress tracking**: Real-time status updates
## Implementation Details
### Build System Architecture
#### Component Discovery
```bash
# Automatically discovers components with Dockerfiles
for component in "${DEVBOX_COMPONENTS[@]}"; do
local component_dir="$working_home/freeleaps/apps/$component"
local dockerfile_path="$component_dir/Dockerfile"
if [[ -d "$component_dir" && -f "$dockerfile_path" ]]; then
# Build component
fi
done
```
#### Build Process
1. **Environment Validation**: Check Docker, disk space, source code
2. **Component Discovery**: Find components with Dockerfiles
3. **Parallel Building**: Build multiple components concurrently
4. **Image Tagging**: Apply consistent tagging strategy
5. **Result Reporting**: Detailed success/failure reporting
### Deployment System Architecture
#### API Integration
```bash
# Deployment payload structure
{
"component": "chat",
"image_tag": "freeleaps-local/chat:v1.2.3",
"environment": "staging",
"deployment_type": "docker",
"timestamp": "2024-01-15T10:30:00Z"
}
```
#### Deployment Process
1. **Authentication**: Validate API credentials
2. **Environment Validation**: Check target environment availability
3. **Image Deployment**: Deploy images via API
4. **Status Monitoring**: Track deployment progress
5. **Result Verification**: Confirm successful deployment
### Error Handling & Recovery
#### Build Failures
- **Retry mechanisms**: Automatic retry for transient failures
- **Component isolation**: Failed builds don't affect other components
- **Detailed logging**: Comprehensive error messages
- **Cleanup**: Automatic cleanup of failed builds
#### Deployment Failures
- **API error handling**: Graceful handling of API failures
- **Rollback support**: Automatic rollback on deployment failure
- **Status monitoring**: Real-time deployment status tracking
- **Recovery procedures**: Clear recovery instructions
## Configuration
### Environment Variables
```bash
# Build configuration
FREELEAPS_BUILD_REPO="freeleaps-local"
FREELEAPS_BUILD_TAG="$(date +%Y%m%d-%H%M%S)"
# Deployment configuration
FREELEAPS_API_ENDPOINT="https://api.freeleaps.com"
FREELEAPS_DEFAULT_ENVIRONMENT="staging"
FREELEAPS_AUTH_TOKEN="your-auth-token"
```
### Configuration Files
```bash
# ~/.devbox/config.yaml
build:
default_repo: "freeleaps-local"
default_tag_format: "timestamp"
parallel_builds: 3
deploy:
default_environment: "staging"
api_endpoint: "https://api.freeleaps.com"
timeout: 300
retry_attempts: 3
```
## Security Considerations
### Authentication
- **Bearer token authentication**: Secure API access
- **Token validation**: Verify token before deployment
- **Environment isolation**: Separate tokens per environment
- **Audit logging**: Track all deployment activities
### Image Security
- **Local building**: Build images locally to ensure security
- **Image scanning**: Optional vulnerability scanning
- **Tag validation**: Ensure proper image tagging
- **Registry security**: Secure image registry access
## Monitoring & Observability
### Build Metrics
- **Build duration**: Track build times per component
- **Success rates**: Monitor build success rates
- **Resource usage**: Track CPU/memory usage during builds
- **Cache efficiency**: Monitor Docker layer cache usage
### Deployment Metrics
- **Deployment duration**: Track deployment times
- **Success rates**: Monitor deployment success rates
- **API response times**: Track API performance
- **Environment health**: Monitor target environment status
## Integration with Existing Workflow
### Current DevBox Workflow
```
devbox init → devbox start → Development → devbox stop
```
### Enhanced Workflow with Build/Deploy
```
devbox init → devbox start → Development → devbox build → devbox deploy → devbox stop
```
### One-Command Workflow
```
devbox init → Development → devbox build-deploy → devbox stop
```
## Best Practices
### Build Best Practices
1. **Use meaningful tags**: Include version, date, or feature identifiers
2. **Build incrementally**: Build only changed components
3. **Optimize Dockerfiles**: Use multi-stage builds and caching
4. **Validate builds**: Test builds before deployment
### Deployment Best Practices
1. **Test in staging**: Always test in staging before production
2. **Use blue-green deployment**: Minimize downtime
3. **Monitor deployments**: Track deployment status and health
4. **Have rollback plans**: Prepare for deployment failures
### Security Best Practices
1. **Rotate tokens**: Regularly update authentication tokens
2. **Limit permissions**: Use least-privilege access
3. **Scan images**: Regularly scan for vulnerabilities
4. **Audit deployments**: Log all deployment activities
## Troubleshooting
### Common Build Issues
```bash
# Insufficient disk space
Error: No space left on device
Solution: Clean up Docker images and containers
# Docker daemon issues
Error: Cannot connect to Docker daemon
Solution: Start Docker service and check permissions
# Missing Dockerfile
Error: Dockerfile not found
Solution: Ensure component has proper Dockerfile
```
### Common Deployment Issues
```bash
# Authentication failures
Error: 401 Unauthorized
Solution: Check auth token and permissions
# Environment not found
Error: Environment not accessible
Solution: Verify environment exists and is accessible
# API connectivity
Error: Cannot connect to API
Solution: Check network connectivity and API endpoint
```
## Future Enhancements
### Planned Features
1. **CI/CD Integration**: Integrate with GitHub Actions, GitLab CI
2. **Multi-environment Support**: Support for multiple deployment environments
3. **Rollback Automation**: Automatic rollback on deployment failures
4. **Performance Optimization**: Parallel builds and deployments
5. **Advanced Monitoring**: Real-time deployment dashboards
### Advanced Capabilities
1. **Canary Deployments**: Gradual rollout with health checks
2. **A/B Testing**: Support for A/B testing deployments
3. **Infrastructure as Code**: Terraform/CloudFormation integration
4. **Cost Optimization**: Resource usage optimization
5. **Compliance**: SOC2, GDPR compliance features
## Conclusion
The build and deploy features transform DevBox CLI from a local development tool into a comprehensive development-to-deployment platform. This enables developers to:
- **Build consistently**: Local Docker builds ensure consistency
- **Deploy safely**: API-based deployment with proper validation
- **Monitor effectively**: Real-time status tracking and health monitoring
- **Scale efficiently**: Support for multiple components and environments
These features significantly improve developer productivity and reduce the time from development to production deployment.

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# CI/CD Integration with DevBox Packaging
## Overview
The DevBox packaging feature now includes comprehensive CI/CD integration that allows you to run your existing CI/CD integration tests locally before submitting code to your Jenkins pipeline. This ensures that the same tests that run in your CI/CD environment are executed locally, providing confidence that your code will pass the CI/CD pipeline.
## Why CI/CD Integration?
### Problem Statement
- **CI/CD Failures**: Code passes local tests but fails in CI/CD pipeline
- **Environment Differences**: Local and CI/CD environments are not identical
- **Test Inconsistency**: Different test suites run locally vs. in CI/CD
- **Late Detection**: Issues discovered only after code is committed and pushed
### Solution Benefits
- **Early Detection**: Catch CI/CD issues before committing code
- **Environment Parity**: Test in containers that match CI/CD environment
- **Test Consistency**: Run the same tests locally as in CI/CD
- **Confidence**: Ensure code will pass CI/CD pipeline
- **Time Saving**: Reduce CI/CD iteration cycles
## Architecture
### CI/CD Integration Components
#### 1. **Jenkins Pipeline Configuration Parser**
- Automatically detects and parses your Jenkinsfile
- Extracts component configurations (language, dependencies, build settings)
- Maps CI/CD test requirements to local execution
#### 2. **CI/CD Test Environment**
- Creates isolated Docker networks for testing
- Starts the same dependencies as your CI/CD pipeline
- Configures environment variables to match CI/CD
#### 3. **Component-Specific Test Execution**
- Runs health checks, API tests, and integration tests
- Executes performance tests for production mode
- Validates component functionality in CI/CD-like environment
#### 4. **Test Result Reporting**
- Provides detailed test results and logs
- Matches CI/CD test output format
- Identifies specific test failures
### Integration with Existing CI/CD Pipeline
```
Local Development → DevBox Package → CI/CD Tests → Jenkins Pipeline
↓ ↓ ↓ ↓
Code Changes Docker Container Test Results Production
```
## Usage Examples
### Basic CI/CD Integration
```bash
# Package with CI/CD integration tests
devbox package --run-cicd-tests=true
# Package specific component with CI/CD tests
devbox package --component=chat --run-cicd-tests=true
# Package for production with CI/CD tests
devbox package --test-mode=production --run-cicd-tests=true
```
### Advanced CI/CD Integration
```bash
# Package with both CI/CD and legacy integration tests
devbox package --run-cicd-tests=true --run-integration=true
# Package with custom image tag and CI/CD tests
devbox package --image-tag=v1.2.3 --run-cicd-tests=true
# Package specific component with production mode and CI/CD tests
devbox package --component=authentication --test-mode=production --run-cicd-tests=true
```
## Command Reference
### `devbox package` with CI/CD Integration
#### New Arguments
- `--run-cicd-tests, -j`: Run CI/CD integration tests after packaging (default: false)
#### Complete Argument List
- `--working-home, -w`: Working home directory (default: `$HOME/devbox`)
- `--image-repo, -r`: Docker image repository (default: `freeleaps-local`)
- `--image-tag, -t`: Docker image tag (default: timestamp)
- `--component, -c`: Component to package (default: all components)
- `--test-mode, -m`: Packaging mode: `test` or `production` (default: `test`)
- `--run-integration, -i`: Run legacy integration tests (default: false)
- `--run-cicd-tests, -j`: Run CI/CD integration tests (default: false)
## CI/CD Test Execution
### 1. Jenkins Configuration Parsing
The system automatically detects and parses your Jenkinsfile:
```bash
# Looks for Jenkinsfile in these locations:
# - $WORKING_HOME/freeleaps/Jenkinsfile
# - $WORKING_HOME/freeleaps/ci/Jenkinsfile
# - $WORKING_HOME/freeleaps/.jenkins/Jenkinsfile
# - $WORKING_HOME/freeleaps/apps/$component/Jenkinsfile
```
**Example Jenkinsfile Parsing:**
```groovy
// Your existing Jenkinsfile
components = [
[
name: 'chat',
language: 'python',
dependenciesManager: 'pip',
buildAgentImage: 'python:3.10-slim-buster',
lintEnabled: false,
sastEnabled: false
]
]
```
**Parsed Configuration:**
```bash
language:python
deps_manager:pip
build_image:python:3.10-slim-buster
lint_enabled:false
sast_enabled:false
```
### 2. CI/CD Test Environment Setup
The system creates a CI/CD-like test environment:
```bash
# Creates isolated test network
docker network create devbox-cicd-test-network
# Starts component-specific dependencies
# For chat, authentication, etc.:
# - MongoDB (mongodb:5.0)
# - Redis (redis:7-alpine)
# - RabbitMQ (rabbitmq:3-management)
# For devsvc:
# - MongoDB (mongodb:5.0)
```
### 3. Component-Specific Test Execution
Each component runs through a comprehensive test suite:
#### Health Check Tests
```python
# Tests component health endpoint
response = requests.get('http://localhost:8000/health', timeout=5)
assert response.status_code == 200
```
#### API Endpoint Tests
```python
# Tests common API endpoints
endpoints = ["/health", "/docs", "/openapi.json"]
for endpoint in endpoints:
response = requests.get(f'http://localhost:8000{endpoint}', timeout=5)
assert response.status_code in [200, 404] # 404 OK for optional endpoints
```
#### Integration Tests
```python
# Component-specific integration tests
# - Chat: Tests chat service connectivity
# - Authentication: Tests auth service functionality
# - Central Storage: Tests storage service operations
```
#### Performance Tests (Production Mode)
```python
# Load testing for production mode
response_times = []
for i in range(10):
start_time = time.time()
response = requests.get('http://localhost:8000/health', timeout=5)
if response.status_code == 200:
response_times.append(time.time() - start_time)
avg_time = statistics.mean(response_times)
max_time = max(response_times)
assert avg_time < 1.0 and max_time < 2.0
```
## Integration with Your Existing CI/CD Pipeline
### 1. **Jenkins Pipeline Compatibility**
The CI/CD integration is designed to work with your existing `first-class-pipeline` library:
```groovy
// Your existing Jenkinsfile remains unchanged
library 'first-class-pipeline'
executeFreeleapsPipeline {
serviceName = 'freeleaps'
environmentSlug = 'prod'
serviceGitBranch = 'master'
serviceGitRepo = "https://gitea.freeleaps.mathmast.com/freeleaps/freeleaps-service-hub.git"
serviceGitRepoType = 'monorepo'
serviceGitCredentialsId = 'freeleaps-repos-gitea-credentails'
executeMode = 'fully'
commitMessageLintEnabled = false
components = [
[
name: 'authentication',
root: 'apps/authentication',
language: 'python',
dependenciesManager: 'pip',
// ... other configuration
]
]
}
```
### 2. **Test Environment Parity**
The local CI/CD tests use the same:
- **Dependencies**: MongoDB, Redis, RabbitMQ versions
- **Environment Variables**: Service endpoints, credentials
- **Network Configuration**: Isolated Docker networks
- **Test Execution**: Health checks, API tests, integration tests
### 3. **Component Support**
Currently supported components:
- `chat` - Chat service with full dependency stack
- `authentication` - Authentication service with full dependency stack
- `central_storage` - Storage service with full dependency stack
- `content` - Content service with full dependency stack
- `notification` - Notification service with full dependency stack
- `payment` - Payment service with full dependency stack
- `devsvc` - DevSVC with MongoDB dependency
## Workflow Integration
### Typical Development Workflow with CI/CD Integration
1. **Local Development**
```bash
cd ~/devbox/freeleaps/apps/chat
# Make code changes
```
2. **Local Unit Testing**
```bash
python -m pytest tests/ -v
```
3. **CI/CD Integration Testing**
```bash
# Package and run CI/CD tests
devbox package --component=chat --run-cicd-tests=true
```
4. **Production Mode Testing**
```bash
# Test production-ready container
devbox package --component=chat --test-mode=production --run-cicd-tests=true
```
5. **Submit to CI/CD**
```bash
# If all tests pass, commit and push
git add .
git commit -m "Feature: Add new chat functionality"
git push
```
### CI/CD Pipeline Integration
Your Jenkins pipeline will now receive code that has been:
- ✅ Tested in production-like containers
- ✅ Validated with CI/CD integration tests
- ✅ Performance tested (if in production mode)
- ✅ Health checked and API tested
## Configuration and Customization
### 1. **Custom Test Configuration**
You can customize CI/CD test behavior by modifying the test functions:
```bash
# Edit the test functions in the devbox script
# - run_health_check_test()
# - run_api_endpoint_tests()
# - run_integration_tests()
# - run_performance_tests()
```
### 2. **Component-Specific Test Customization**
Add component-specific tests by extending the integration test functions:
```bash
# Add new component test function
run_custom_component_integration_tests() {
local container="$1"
local network="$2"
# Your custom test logic
docker exec "$container" python -c "
# Your custom test code
"
}
```
### 3. **Environment Variable Customization**
Customize environment variables for specific components:
```bash
# Modify setup_component_env_vars() function
case "$component" in
your_custom_component)
env_array+=(
"-e" "CUSTOM_VAR=value"
"-e" "ANOTHER_VAR=value"
)
;;
esac
```
## Troubleshooting
### Common CI/CD Integration Issues
1. **Jenkinsfile Not Found**
```
Warning: No Jenkinsfile found for component: chat
```
**Solution**: Ensure Jenkinsfile exists in one of the expected locations.
2. **Component Not Found in Jenkinsfile**
```
Warning: Component chat not found in Jenkinsfile
```
**Solution**: Check component name matches exactly in Jenkinsfile.
3. **CI/CD Test Dependencies Fail**
```
Error: MongoDB failed to start
```
**Solution**: Check Docker resources and network configuration.
4. **Health Check Failures**
```
Error: Health check failed for chat
```
**Solution**: Verify component health endpoint is implemented.
### Debugging CI/CD Tests
1. **Check Test Container Logs**
```bash
docker logs cicd-test-chat
```
2. **Inspect Test Network**
```bash
docker network inspect devbox-cicd-test-network
```
3. **Check Dependency Containers**
```bash
docker ps | grep cicd-
```
4. **Manual Test Execution**
```bash
# Run component manually for debugging
docker run -it --network devbox-cicd-test-network \
-e MONGODB_URI="mongodb://test:test@cicd-mongodb-chat:27017" \
your-image-name
```
## Best Practices
### 1. **CI/CD Test Development**
- Write tests that match your CI/CD pipeline requirements
- Use the same test data and configurations
- Implement proper cleanup and error handling
### 2. **Component Configuration**
- Ensure components have proper health endpoints
- Implement comprehensive API documentation
- Use consistent environment variable naming
### 3. **Test Execution**
- Run CI/CD tests before committing code
- Use production mode for final validation
- Monitor test execution time and performance
### 4. **Integration with Workflow**
- Add CI/CD tests to your development checklist
- Use CI/CD tests for pull request validation
- Integrate with your IDE or editor
## Future Enhancements
### Planned Features
1. **Multi-Component Testing**: Test multiple components together
2. **Custom Test Suites**: Support for custom test configurations
3. **Test Result Export**: Export test results in CI/CD format
4. **Performance Benchmarking**: Advanced performance testing
5. **Security Scanning**: Integrate security testing
### Integration Opportunities
1. **Git Hooks**: Pre-commit CI/CD test validation
2. **IDE Integration**: VS Code and IntelliJ plugins
3. **CI/CD Pipeline Integration**: Direct Jenkins integration
4. **Monitoring Integration**: Test result monitoring and alerting
## Conclusion
The CI/CD integration feature bridges the gap between local development and CI/CD pipeline execution by providing engineers with the ability to run the same tests locally that will run in their CI/CD environment. This significantly reduces CI/CD failures and improves development confidence.
By integrating your existing CI/CD integration tests into the DevBox packaging workflow, you can ensure that code is thoroughly tested before it reaches your Jenkins pipeline, leading to faster, more reliable deployments.

View File

@ -0,0 +1,945 @@
# DevBox Implementation Plan: CLI to Microservices
## Phase 1: CLI Refactoring
### 1.1 New CLI Structure
```
devbox/
├── core/ # Local operations only
│ ├── docker.sh # Docker management
│ ├── network.sh # Network setup
│ ├── validation.sh # Environment validation
│ └── utils.sh # Common utilities
├── api/ # API communication
│ ├── client.sh # HTTP client wrapper
│ ├── auth.sh # Authentication handling
│ ├── review.sh # Code review API calls
│ ├── cicd.sh # CI/CD API calls
│ └── ai.sh # AI service API calls
├── auth/ # Authentication management
│ ├── login.sh # Login functionality
│ ├── token.sh # Token management
│ └── permissions.sh # Permission checking
├── config/ # Configuration management
│ ├── settings.sh # Settings management
│ ├── profiles.sh # Profile management
│ └── defaults.sh # Default configurations
└── commands/ # Command implementations
├── init.sh # Local init command
├── start.sh # Local start command
├── review.sh # Review command (API-based)
├── package.sh # Package command (API-based)
└── deploy.sh # Deploy command (API-based)
```
### 1.2 API Client Implementation
```bash
# api/client.sh
#!/usr/bin/env bash
# API client configuration
API_BASE_URL="${DEVBOX_API_URL:-https://api.devbox.com}"
API_VERSION="v1"
API_TIMEOUT=30
# HTTP client with authentication
api_request() {
local method="$1"
local endpoint="$2"
local data="$3"
local token="$4"
local url="${API_BASE_URL}/api/${API_VERSION}${endpoint}"
local headers=(
"Content-Type: application/json"
"User-Agent: DevBox-CLI/1.0"
)
if [[ -n "$token" ]]; then
headers+=("Authorization: Bearer $token")
fi
local curl_opts=(
"-X" "$method"
"-H" "${headers[0]}"
"-H" "${headers[1]}"
"--connect-timeout" "$API_TIMEOUT"
"--max-time" "$API_TIMEOUT"
"-s"
)
if [[ -n "$token" ]]; then
curl_opts+=("-H" "${headers[2]}")
fi
if [[ -n "$data" ]]; then
curl_opts+=("-d" "$data")
fi
curl "${curl_opts[@]}" "$url"
}
# API response handling
handle_api_response() {
local response="$1"
local expected_status="$2"
if [[ -z "$response" ]]; then
log_error "No response from API"
return 1
fi
local status=$(echo "$response" | jq -r '.status // .error // "unknown"')
local message=$(echo "$response" | jq -r '.message // .error // "Unknown error"')
if [[ "$status" == "$expected_status" ]] || [[ "$status" == "success" ]]; then
echo "$response"
return 0
else
log_error "API Error: $message"
return 1
fi
}
```
### 1.3 Authentication Implementation
```bash
# auth/login.sh
#!/usr/bin/env bash
devbox_auth_login() {
local username="$1"
local password="$2"
local api_key="$3"
log_info "Authenticating with DevBox API..."
# Prepare login payload
local login_data=$(cat << EOF
{
"username": "$username",
"password": "$password",
"api_key": "$api_key"
}
EOF
)
# Make login request
local response=$(api_request "POST" "/auth/login" "$login_data")
if handle_api_response "$response" "success"; then
local token=$(echo "$response" | jq -r '.token')
local refresh_token=$(echo "$response" | jq -r '.refresh_token')
local permissions=$(echo "$response" | jq -r '.permissions')
# Store tokens securely
store_auth_tokens "$token" "$refresh_token"
store_permissions "$permissions"
log_info "Authentication successful"
return 0
else
return 1
fi
}
# auth/token.sh
#!/usr/bin/env bash
store_auth_tokens() {
local token="$1"
local refresh_token="$2"
# Store in secure location
local config_dir="$HOME/.devbox"
mkdir -p "$config_dir"
# Encrypt tokens before storing
echo "$token" | openssl enc -aes-256-cbc -salt -out "$config_dir/.token" -pass pass:"$DEVBOX_ENCRYPTION_KEY"
echo "$refresh_token" | openssl enc -aes-256-cbc -salt -out "$config_dir/.refresh_token" -pass pass:"$DEVBOX_ENCRYPTION_KEY"
# Set file permissions
chmod 600 "$config_dir/.token" "$config_dir/.refresh_token"
}
get_auth_token() {
local config_dir="$HOME/.devbox"
if [[ -f "$config_dir/.token" ]]; then
openssl enc -aes-256-cbc -d -in "$config_dir/.token" -pass pass:"$DEVBOX_ENCRYPTION_KEY" 2>/dev/null
fi
}
refresh_auth_token() {
local refresh_token=$(openssl enc -aes-256-cbc -d -in "$HOME/.devbox/.refresh_token" -pass pass:"$DEVBOX_ENCRYPTION_KEY" 2>/dev/null)
if [[ -n "$refresh_token" ]]; then
local refresh_data=$(cat << EOF
{
"refresh_token": "$refresh_token"
}
EOF
)
local response=$(api_request "POST" "/auth/refresh" "$refresh_data")
if handle_api_response "$response" "success"; then
local new_token=$(echo "$response" | jq -r '.token')
local new_refresh_token=$(echo "$response" | jq -r '.refresh_token')
store_auth_tokens "$new_token" "$new_refresh_token"
return 0
fi
fi
return 1
}
```
### 1.4 Permission Checking
```bash
# auth/permissions.sh
#!/usr/bin/env bash
check_permission() {
local required_permission="$1"
local user_permissions="$2"
# Check if user has wildcard permission
if [[ "$user_permissions" == *"*"* ]]; then
return 0
fi
# Check specific permission
if [[ "$user_permissions" == *"$required_permission"* ]]; then
return 0
fi
return 1
}
require_permission() {
local permission="$1"
local operation="$2"
local user_permissions=$(get_user_permissions)
if ! check_permission "$permission" "$user_permissions"; then
log_error "Permission denied: $permission required for $operation"
log_error "Contact your administrator to request access"
return 1
fi
return 0
}
get_user_permissions() {
local config_dir="$HOME/.devbox"
if [[ -f "$config_dir/.permissions" ]]; then
cat "$config_dir/.permissions"
fi
}
```
### 1.5 API-based Commands
```bash
# commands/review.sh
#!/usr/bin/env bash
devbox_review_command() {
local component="$1"
local options="$2"
log_info "Starting code review for $component..."
# Check permissions
if ! require_permission "code_review:read" "code review"; then
exit 1
fi
# Get authentication token
local token=$(get_auth_token)
if [[ -z "$token" ]]; then
log_error "Not authenticated. Run 'devbox auth login' first."
exit 1
fi
# Prepare review request
local review_data=$(prepare_review_data "$component" "$options")
# Make API request
local response=$(api_request "POST" "/review/analyze" "$review_data" "$token")
if handle_api_response "$response" "success"; then
local report_url=$(echo "$response" | jq -r '.report_url')
local report_id=$(echo "$response" | jq -r '.report_id')
log_info "Code review completed successfully"
log_info "Report ID: $report_id"
log_info "View report at: $report_url"
# Open report in browser if possible
if command -v xdg-open &>/dev/null; then
xdg-open "$report_url"
elif command -v open &>/dev/null; then
open "$report_url"
fi
return 0
else
return 1
fi
}
prepare_review_data() {
local component="$1"
local options="$2"
# Get changed files
local changed_files=$(get_changed_files "$component")
# Prepare file contents
local files_data="[]"
while IFS= read -r file; do
if [[ -f "$file" ]]; then
local content=$(cat "$file" | jq -R -s .)
local file_info=$(cat << EOF
{
"path": "$file",
"content": $content
}
EOF
)
files_data=$(echo "$files_data" | jq ". += [$file_info]")
fi
done <<< "$changed_files"
# Create review request
cat << EOF
{
"component": "$component",
"files": $files_data,
"options": $options
}
EOF
}
```
## Phase 2: Microservices Implementation
### 2.1 API Gateway (Nginx)
```nginx
# gateway/nginx.conf
events {
worker_connections 1024;
}
http {
upstream auth_service {
server auth-service:8001;
}
upstream review_service {
server review-service:8002;
}
upstream cicd_service {
server cicd-service:8003;
}
upstream ai_service {
server ai-service:8004;
}
# Rate limiting
limit_req_zone $binary_remote_addr zone=api:10m rate=10r/s;
server {
listen 80;
server_name api.devbox.com;
# SSL configuration (for production)
# listen 443 ssl;
# ssl_certificate /etc/nginx/ssl/cert.pem;
# ssl_certificate_key /etc/nginx/ssl/key.pem;
# Security headers
add_header X-Frame-Options DENY;
add_header X-Content-Type-Options nosniff;
add_header X-XSS-Protection "1; mode=block";
# Rate limiting
limit_req zone=api burst=20 nodelay;
# Authentication endpoints
location /api/v1/auth/ {
proxy_pass http://auth_service;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
# Code review endpoints
location /api/v1/review/ {
auth_request /auth/validate;
proxy_pass http://review_service;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
# CI/CD endpoints
location /api/v1/cicd/ {
auth_request /auth/validate;
proxy_pass http://cicd_service;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
# AI service endpoints
location /api/v1/ai/ {
auth_request /auth/validate;
proxy_pass http://ai_service;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
# Authentication validation
location = /auth/validate {
internal;
proxy_pass http://auth_service/api/v1/auth/validate;
proxy_pass_request_body off;
proxy_set_header Content-Length "";
proxy_set_header X-Original-URI $request_uri;
}
}
}
```
### 2.2 Authentication Service (Python/FastAPI)
```python
# services/auth/main.py
from fastapi import FastAPI, HTTPException, Depends, status
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel
import jwt
import datetime
from typing import List, Optional
import redis
import os
app = FastAPI(title="DevBox Auth Service")
security = HTTPBearer()
# Configuration
JWT_SECRET = os.getenv("JWT_SECRET", "your-secret-key")
JWT_ALGORITHM = "HS256"
JWT_EXPIRY = 3600 # 1 hour
REDIS_URL = os.getenv("REDIS_URL", "redis://localhost:6379")
# Redis connection
redis_client = redis.from_url(REDIS_URL)
# Models
class LoginRequest(BaseModel):
username: str
password: str
api_key: Optional[str] = None
class TokenResponse(BaseModel):
token: str
refresh_token: str
permissions: List[str]
expires_in: int
class PermissionCheck(BaseModel):
permission: str
user_id: str
# Permission definitions
PERMISSIONS = {
"developer": [
"code_review:read",
"cicd:build",
"ai:chat",
"ai:analyze"
],
"senior_developer": [
"code_review:read",
"code_review:write",
"cicd:build",
"cicd:deploy",
"ai:chat",
"ai:analyze",
"ai:generate"
],
"devops": [
"cicd:build",
"cicd:deploy",
"cicd:admin",
"deployment:read",
"deployment:write"
],
"admin": ["*"]
}
@app.post("/api/v1/auth/login", response_model=TokenResponse)
async def login(request: LoginRequest):
# Validate credentials (implement your authentication logic)
if not validate_credentials(request.username, request.password):
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid credentials"
)
# Get user role and permissions
user_role = get_user_role(request.username)
permissions = PERMISSIONS.get(user_role, [])
# Generate tokens
token = create_access_token(request.username, permissions)
refresh_token = create_refresh_token(request.username)
# Store refresh token in Redis
redis_client.setex(
f"refresh_token:{request.username}",
JWT_EXPIRY * 24, # 24 hours
refresh_token
)
return TokenResponse(
token=token,
refresh_token=refresh_token,
permissions=permissions,
expires_in=JWT_EXPIRY
)
@app.post("/api/v1/auth/refresh")
async def refresh_token(refresh_token: str):
try:
payload = jwt.decode(refresh_token, JWT_SECRET, algorithms=[JWT_ALGORITHM])
username = payload.get("sub")
# Verify refresh token in Redis
stored_token = redis_client.get(f"refresh_token:{username}")
if not stored_token or stored_token.decode() != refresh_token:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid refresh token"
)
# Generate new tokens
user_role = get_user_role(username)
permissions = PERMISSIONS.get(user_role, [])
new_token = create_access_token(username, permissions)
new_refresh_token = create_refresh_token(username)
# Update stored refresh token
redis_client.setex(
f"refresh_token:{username}",
JWT_EXPIRY * 24,
new_refresh_token
)
return {
"token": new_token,
"refresh_token": new_refresh_token,
"expires_in": JWT_EXPIRY
}
except jwt.ExpiredSignatureError:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Refresh token expired"
)
except jwt.InvalidTokenError:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid refresh token"
)
@app.get("/api/v1/auth/validate")
async def validate_token(credentials: HTTPAuthorizationCredentials = Depends(security)):
try:
payload = jwt.decode(credentials.credentials, JWT_SECRET, algorithms=[JWT_ALGORITHM])
username = payload.get("sub")
permissions = payload.get("permissions", [])
if not username:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid token"
)
return {
"user_id": username,
"permissions": permissions,
"valid": True
}
except jwt.ExpiredSignatureError:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Token expired"
)
except jwt.InvalidTokenError:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid token"
)
def create_access_token(username: str, permissions: List[str]) -> str:
payload = {
"sub": username,
"permissions": permissions,
"exp": datetime.datetime.utcnow() + datetime.timedelta(seconds=JWT_EXPIRY),
"iat": datetime.datetime.utcnow()
}
return jwt.encode(payload, JWT_SECRET, algorithm=JWT_ALGORITHM)
def create_refresh_token(username: str) -> str:
payload = {
"sub": username,
"type": "refresh",
"exp": datetime.datetime.utcnow() + datetime.timedelta(days=1),
"iat": datetime.datetime.utcnow()
}
return jwt.encode(payload, JWT_SECRET, algorithm=JWT_ALGORITHM)
def validate_credentials(username: str, password: str) -> bool:
# Implement your authentication logic here
# This could be database lookup, LDAP, etc.
return True # Placeholder
def get_user_role(username: str) -> str:
# Implement role lookup logic
return "developer" # Placeholder
```
### 2.3 Code Review Service (Python/FastAPI)
```python
# services/review/main.py
from fastapi import FastAPI, HTTPException, Depends, status
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel
import openai
import redis
import json
import os
from typing import List, Dict, Any
import uuid
from datetime import datetime
app = FastAPI(title="DevBox Code Review Service")
security = HTTPBearer()
# Configuration
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
REDIS_URL = os.getenv("REDIS_URL", "redis://localhost:6379")
# Initialize OpenAI
openai.api_key = OPENAI_API_KEY
# Redis connection
redis_client = redis.from_url(REDIS_URL)
# Models
class FileContent(BaseModel):
path: str
content: str
class ReviewRequest(BaseModel):
component: str
files: List[FileContent]
options: Dict[str, Any]
class ReviewResponse(BaseModel):
report_id: str
report_url: str
status: str
@app.post("/api/v1/review/analyze", response_model=ReviewResponse)
async def analyze_code(
request: ReviewRequest,
credentials: HTTPAuthorizationCredentials = Depends(security)
):
# Validate permissions
if not has_permission(credentials.credentials, "code_review:read"):
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Permission denied: code_review:read required"
)
# Generate report ID
report_id = str(uuid.uuid4())
# Prepare files content for OpenAI
files_content = ""
for file in request.files:
files_content += f"\n\n=== File: {file.path} ===\n"
files_content += file.content
# Generate review prompt
prompt = generate_review_prompt(request.component, files_content)
try:
# Call OpenAI API
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[
{"role": "user", "content": prompt}
],
max_tokens=4000,
temperature=0.1
)
review_content = response.choices[0].message.content
# Parse and structure the review
structured_review = parse_review_content(review_content, request.component)
# Store review in Redis
review_data = {
"report_id": report_id,
"component": request.component,
"review": structured_review,
"timestamp": datetime.utcnow().isoformat(),
"files_analyzed": len(request.files)
}
redis_client.setex(
f"review:{report_id}",
86400, # 24 hours
json.dumps(review_data)
)
# Generate report URL
report_url = f"https://api.devbox.com/reports/{report_id}"
return ReviewResponse(
report_id=report_id,
report_url=report_url,
status="completed"
)
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Review failed: {str(e)}"
)
@app.get("/api/v1/review/reports/{report_id}")
async def get_report(
report_id: str,
credentials: HTTPAuthorizationCredentials = Depends(security)
):
# Validate permissions
if not has_permission(credentials.credentials, "code_review:read"):
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Permission denied: code_review:read required"
)
# Get report from Redis
report_data = redis_client.get(f"review:{report_id}")
if not report_data:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Report not found"
)
return json.loads(report_data)
def generate_review_prompt(component: str, files_content: str) -> str:
return f"""
You are an expert code reviewer with deep knowledge of software engineering best practices, security, performance, and maintainability. Please review the following code changes for the {component} component.
**Review Guidelines:**
1. **Security**: Identify potential security vulnerabilities, input validation issues, authentication/authorization problems
2. **Performance**: Look for inefficient algorithms, memory leaks, database query issues, scalability concerns
3. **Code Quality**: Check for code smells, maintainability issues, readability problems, naming conventions
4. **Best Practices**: Verify adherence to language-specific best practices, design patterns, SOLID principles
5. **Error Handling**: Assess error handling, exception management, logging practices
6. **Testing**: Evaluate test coverage, test quality, mocking practices
7. **Documentation**: Check for proper documentation, comments, API documentation
**Review Format:**
For each issue found, provide:
- **Severity**: CRITICAL, WARNING, INFO, or SUGGESTION
- **Title**: Brief description of the issue
- **Description**: Detailed explanation of the problem
- **Line Number**: Specific line where the issue occurs (if applicable)
- **Code Snippet**: Relevant code section (if applicable)
- **Suggestion**: Specific recommendation for improvement
**Code to Review:**
{files_content}
Please provide a comprehensive review focusing on the most important issues first. Be specific and actionable in your recommendations.
"""
def parse_review_content(content: str, component: str) -> Dict[str, Any]:
# This is a simplified parser - you might want to enhance it
return {
"component": component,
"raw_content": content,
"issues": [], # Parse structured issues from content
"summary": {
"critical_issues": 0,
"warnings": 0,
"suggestions": 0
}
}
def has_permission(token: str, required_permission: str) -> bool:
# Implement permission checking logic
# This would decode the JWT and check permissions
return True # Placeholder
```
## Phase 3: Migration Script
```bash
# migration/migrate.sh
#!/usr/bin/env bash
migrate_to_microservices() {
log_info "Starting DevBox migration to microservices architecture..."
# Backup current CLI
backup_current_cli
# Install new lightweight CLI
install_new_cli
# Migrate configuration
migrate_configuration
# Test new setup
test_new_setup
log_info "Migration completed successfully!"
}
backup_current_cli() {
local backup_dir="$HOME/.devbox/backup/$(date +%Y%m%d_%H%M%S)"
mkdir -p "$backup_dir"
log_info "Backing up current CLI to $backup_dir"
# Copy current CLI files
cp -r /usr/local/bin/devbox "$backup_dir/"
cp -r "$HOME/.devbox" "$backup_dir/config"
log_info "Backup completed"
}
install_new_cli() {
log_info "Installing new lightweight CLI..."
# Download new CLI
curl -L -o /tmp/devbox-new "https://api.devbox.com/download/cli/latest"
chmod +x /tmp/devbox-new
# Install new CLI
sudo mv /tmp/devbox-new /usr/local/bin/devbox
log_info "New CLI installed"
}
migrate_configuration() {
log_info "Migrating configuration..."
local old_config="$HOME/.devbox"
local new_config="$HOME/.devbox-v2"
# Create new config structure
mkdir -p "$new_config"
# Migrate basic settings
if [[ -f "$old_config/config.yaml" ]]; then
cp "$old_config/config.yaml" "$new_config/"
fi
# Set up API configuration
cat > "$new_config/api.yaml" << EOF
api:
url: "https://api.devbox.com"
version: "v1"
timeout: 30
auth:
token_file: "$new_config/.token"
refresh_token_file: "$new_config/.refresh_token"
permissions_file: "$new_config/.permissions"
EOF
log_info "Configuration migrated"
}
test_new_setup() {
log_info "Testing new setup..."
# Test basic commands
if devbox --version; then
log_info "✓ CLI installation test passed"
else
log_error "✗ CLI installation test failed"
return 1
fi
# Test authentication
if devbox auth status; then
log_info "✓ Authentication test passed"
else
log_warn "⚠ Authentication not configured (expected for new setup)"
fi
log_info "New setup test completed"
}
```
## Benefits of This Implementation
### 1. **Security**
- Sensitive code protected in microservices
- Role-based access control
- Encrypted token storage
- Audit trails for all operations
### 2. **Maintainability**
- Independent service updates
- Centralized configuration
- Easy feature rollouts
- Better error tracking
### 3. **Scalability**
- Services can scale independently
- Load balancing support
- Geographic distribution
- Resource optimization
### 4. **User Experience**
- Seamless migration
- Same familiar commands
- Enhanced features
- Better performance
This implementation provides a solid foundation for transforming DevBox into a secure, scalable, and maintainable platform while preserving the user experience.

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# Local Code Packaging Feature
## Overview
The `devbox package` command is a powerful feature that allows engineers to package their local code into production-ready Docker containers for final testing before submitting to CI/CD pipelines. This feature mimics the real CI/CD flow by creating Docker images that closely resemble what would be deployed in production environments.
## Why This Feature?
### Problem Statement
- Engineers develop locally but can't easily test their code in a production-like environment
- CI/CD failures often occur due to environment differences between local development and production
- No easy way to validate Docker builds before committing code
- Integration testing requires complex setup
### Solution Benefits
- **Early Detection**: Catch Docker build issues before CI/CD
- **Environment Consistency**: Test in containers that match production
- **Integration Testing**: Run full integration tests with packaged containers
- **Confidence**: Ensure code works in production-like environment
- **Time Saving**: Reduce CI/CD iteration cycles
## Architecture
### Two Packaging Modes
#### 1. Test Mode (`--test-mode=test`)
- Runs unit tests before packaging
- Uses development Dockerfile
- Optimized for fast iteration
- Includes debugging capabilities
#### 2. Production Mode (`--test-mode=production`)
- Creates production-optimized Dockerfile
- Multi-stage builds for smaller images
- Security hardening (non-root user)
- Health checks and monitoring
- Optimized for production deployment
### Component Structure
```
freeleaps/
├── apps/
│ ├── chat/
│ │ ├── Dockerfile
│ │ ├── requirements.txt
│ │ └── tests/
│ ├── authentication/
│ │ ├── Dockerfile
│ │ ├── requirements.txt
│ │ └── tests/
│ └── ...
```
## Usage Examples
### Basic Packaging
```bash
# Package all components for testing
devbox package
# Package specific component
devbox package --component=chat
# Package for production
devbox package --test-mode=production
```
### Advanced Usage
```bash
# Package with custom image tag
devbox package --image-tag=v1.2.3 --test-mode=production
# Package with integration tests
devbox package --run-integration=true
# Package specific component with integration tests
devbox package --component=chat --run-integration=true --test-mode=production
```
## Command Reference
### `devbox package`
Packages local code into Docker containers for final testing.
#### Arguments
- `--working-home, -w`: Working home directory (default: `$HOME/devbox`)
- `--image-repo, -r`: Docker image repository (default: `freeleaps-local`)
- `--image-tag, -t`: Docker image tag (default: timestamp)
- `--component, -c`: Component to package (default: all components)
- `--test-mode, -m`: Packaging mode: `test` or `production` (default: `test`)
- `--run-integration, -i`: Run integration tests after packaging (default: `false`)
#### Examples
```bash
# Package all components for testing
devbox package
# Package chat component for production
devbox package --component=chat --test-mode=production
# Package with integration tests
devbox package --run-integration=true
# Package with custom settings
devbox package --image-repo=my-repo --image-tag=latest --test-mode=production
```
## Workflow Integration
### Typical Development Workflow
1. **Local Development**
```bash
# Engineer develops locally
cd ~/devbox/freeleaps/apps/chat
# Make changes to code
```
2. **Local Testing**
```bash
# Run unit tests
python -m pytest tests/
```
3. **Package for Final Testing**
```bash
# Package the component
devbox package --component=chat --test-mode=production
```
4. **Integration Testing**
```bash
# Run integration tests with packaged container
devbox package --component=chat --run-integration=true
```
5. **Submit to CI/CD**
```bash
# If all tests pass, commit and push
git add .
git commit -m "Feature: Add new chat functionality"
git push
```
### CI/CD Integration
The packaged containers can be:
- Used as base images for CI/CD pipelines
- Tested against production configurations
- Validated for security and performance
- Deployed to staging environments
## Technical Details
### Production Dockerfile Generation
When using `--test-mode=production`, the system generates optimized Dockerfiles:
```dockerfile
# Multi-stage build for production
FROM python:3.11-slim-buster as builder
# Install build dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
gcc g++ && rm -rf /var/lib/apt/lists/*
# Create virtual environment
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
# Copy and install requirements
COPY apps/chat/requirements.txt /tmp/requirements.txt
RUN pip install --no-cache-dir -r /tmp/requirements.txt
# Production stage
FROM python:3.11-slim-buster
# Create non-root user
RUN groupadd -r appuser && useradd -r -g appuser appuser
# Copy virtual environment from builder
COPY --from=builder /opt/venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
# Set working directory
WORKDIR /app
# Copy application code
COPY apps/chat/ /app/
# Set environment variables for production
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1
# Change ownership to non-root user
RUN chown -R appuser:appuser /app
# Switch to non-root user
USER appuser
# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:8000/health')" || exit 1
# Expose port
EXPOSE 8000
# Default command
CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
```
### Integration Testing
The integration testing system:
1. **Creates Test Network**: Isolated Docker network for testing
2. **Starts Dependencies**: MongoDB, Redis, RabbitMQ containers
3. **Runs Components**: Each packaged component in test mode
4. **Health Checks**: Validates component functionality
5. **Cleanup**: Removes all test containers and networks
### Environment Validation
The system validates:
- Source code existence
- Docker buildx support
- Available disk space (5GB minimum)
- Required tools (python, pip, pytest)
- Component structure and Dockerfiles
## Best Practices
### 1. Component Structure
Ensure your components follow the standard structure:
```
apps/component_name/
├── Dockerfile
├── requirements.txt
├── tests/
│ ├── test_component.py
│ └── conftest.py
└── main.py
```
### 2. Testing Strategy
- Write comprehensive unit tests
- Include integration test scenarios
- Test both development and production modes
- Validate health check endpoints
### 3. Dockerfile Best Practices
- Use multi-stage builds for production
- Minimize image layers
- Include health checks
- Use non-root users
- Set appropriate environment variables
### 4. CI/CD Integration
- Use packaged images as base for CI/CD
- Validate against production configurations
- Run security scans on packaged images
- Test deployment procedures
## Troubleshooting
### Common Issues
1. **Missing Dockerfile**
```
Error: Dockerfile not found for component: chat
```
**Solution**: Ensure each component has a Dockerfile in its directory.
2. **Test Failures**
```
Error: Component tests failed for chat
```
**Solution**: Fix unit tests before packaging.
3. **Integration Test Failures**
```
Error: chat integration test failed
```
**Solution**: Check component health endpoints and dependencies.
4. **Insufficient Disk Space**
```
Error: Insufficient disk space for packaging
```
**Solution**: Free up disk space (minimum 5GB required).
### Debugging Tips
1. **Check Component Structure**
```bash
ls -la ~/devbox/freeleaps/apps/chat/
```
2. **Validate Dockerfile**
```bash
docker buildx build --dry-run -f ~/devbox/freeleaps/apps/chat/Dockerfile .
```
3. **Test Component Locally**
```bash
cd ~/devbox/freeleaps/apps/chat
python -m pytest tests/ -v
```
4. **Check Integration Test Logs**
```bash
docker logs test-chat
```
## Future Enhancements
### Planned Features
1. **Multi-architecture Support**: ARM64 and AMD64 builds
2. **Security Scanning**: Automated vulnerability scanning
3. **Performance Testing**: Load testing of packaged containers
4. **Registry Integration**: Push to container registries
5. **Rollback Support**: Version management and rollback capabilities
### Integration Opportunities
1. **Git Hooks**: Pre-commit packaging validation
2. **IDE Integration**: VS Code and IntelliJ plugins
3. **Monitoring**: Integration with monitoring systems
4. **Compliance**: Automated compliance checking
## Conclusion
The `devbox package` feature bridges the gap between local development and production deployment by providing engineers with the ability to test their code in production-like containers before submitting to CI/CD pipelines. This significantly reduces deployment failures and improves development confidence.
By following the best practices outlined in this document, teams can leverage this feature to create a more robust and reliable development workflow that closely mirrors production environments.

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# OpenAI Code Review Integration
## Overview
The `devbox review` command provides automated code review capabilities powered by OpenAI's GPT-4 model. This feature allows engineers to perform comprehensive code reviews locally before submitting pull requests, helping to catch issues early and improve code quality.
## Why OpenAI Code Review?
### Problem Statement
- **Manual Review Bottleneck**: Human code reviews can be slow and inconsistent
- **Missed Issues**: Important security, performance, and quality issues may be overlooked
- **Inconsistent Standards**: Different reviewers may have different standards and focus areas
- **Time Constraints**: Rushed reviews may miss critical problems
- **Knowledge Gaps**: Reviewers may not be familiar with all best practices
### Solution Benefits
- **Comprehensive Analysis**: AI reviews cover security, performance, code quality, and best practices
- **Consistent Standards**: Same review criteria applied across all code changes
- **24/7 Availability**: Reviews can be performed anytime, without waiting for human reviewers
- **Educational**: Provides explanations and suggestions for improvements
- **Local Privacy**: Reviews happen locally, keeping your code private
## Features
### 🔍 **Comprehensive Review Coverage**
- **Security Analysis**: Identifies potential vulnerabilities, input validation issues, authentication problems
- **Performance Optimization**: Detects inefficient algorithms, memory leaks, database query issues
- **Code Quality**: Checks for code smells, maintainability issues, readability problems
- **Best Practices**: Verifies adherence to language-specific best practices and design patterns
- **Error Handling**: Assesses error handling, exception management, logging practices
- **Testing**: Evaluates test coverage, test quality, and mocking practices
- **Documentation**: Checks for proper documentation, comments, and API documentation
### 📊 **Beautiful HTML Reports**
- **Interactive Interface**: Modern, responsive web interface for viewing reviews
- **Severity Classification**: Issues categorized as Critical, Warning, Info, or Suggestion
- **Code Snippets**: Relevant code sections highlighted with line numbers
- **Actionable Suggestions**: Specific recommendations for improvements
- **Export Options**: Print reports or export to different formats
### 🚀 **Local Web Server**
- **Instant Access**: View reports immediately in your browser
- **Report Management**: Browse and manage all review reports
- **Real-time Updates**: Refresh to see new reports as they're generated
- **No External Dependencies**: Everything runs locally on your machine
## Quick Start
### 1. Set Up OpenAI API Key
You can provide your OpenAI API key in two ways:
**Option A: Environment Variable (Recommended)**
```bash
export OPENAI_API_KEY="your-openai-api-key-here"
```
**Option B: Command Line**
```bash
devbox review --component=chat --api-key="your-openai-api-key-here"
```
### 2. Perform Your First Review
```bash
# Review the chat component
devbox review --component=chat
# Review with custom port
devbox review --component=authentication --port=9090
# Review without starting the web server
devbox review --component=content --start-server=false
```
### 3. View Review Reports
After running a review, open your browser and navigate to:
```
http://localhost:8080
```
## Usage Examples
### Basic Review
```bash
# Review a specific component
devbox review --component=chat
```
### Advanced Review Options
```bash
# Review with custom API key
devbox review --component=authentication --api-key="sk-..."
# Review on custom port
devbox review --component=content --port=9090
# Review without web server
devbox review --component=payment --start-server=false
# Stop the review server
devbox review --stop-server
```
### Review Multiple Components
```bash
# Review chat component
devbox review --component=chat
# Review authentication component
devbox review --component=authentication
# Review content component
devbox review --component=content
```
## Configuration
### Configuration File
The code review feature creates a configuration file at `~/.devbox/.code-review/config.yaml`:
```yaml
# OpenAI Code Review Configuration
openai:
api_key: "" # Set your OpenAI API key here or use environment variable
model: "gpt-4" # Model to use for code review
max_tokens: 4000 # Maximum tokens for review response
temperature: 0.1 # Lower temperature for more focused reviews
review:
languages:
- python
- javascript
- typescript
- java
- go
- rust
file_extensions:
- .py
- .js
- .ts
- .jsx
- .tsx
- .java
- .go
- .rs
- .cpp
- .c
- .h
- .hpp
exclude_patterns:
- "node_modules/"
- "__pycache__/"
- ".git/"
- "*.min.js"
- "*.min.css"
- "dist/"
- "build/"
- "target/"
- "vendor/"
max_file_size: 100000 # Maximum file size in bytes to review
max_files_per_review: 50 # Maximum number of files to review at once
output:
format: "html" # html, markdown, json
include_suggestions: true
include_severity: true
include_line_numbers: true
include_code_snippets: true
```
### Customizing Review Settings
You can modify the configuration file to:
- Change the OpenAI model (e.g., gpt-3.5-turbo for faster, cheaper reviews)
- Adjust the number of tokens used
- Add or remove supported file types
- Modify exclusion patterns
- Change output format preferences
## Review Process
### 1. File Detection
The system automatically detects changed files in your component:
- Staged changes (`git diff --cached`)
- Unstaged changes (`git diff`)
- Filters by supported file extensions
- Respects exclusion patterns
### 2. Content Preparation
- Reads file contents
- Prepares context for OpenAI
- Limits file size and count for optimal performance
### 3. AI Review
- Sends code to OpenAI GPT-4
- Uses specialized prompt for code review
- Receives comprehensive analysis
### 4. Report Generation
- Parses AI response
- Generates structured review data
- Creates beautiful HTML report
- Starts local web server
### 5. Review Interface
- Modern, responsive web interface
- Severity-based issue categorization
- Code snippets with line numbers
- Actionable improvement suggestions
## Review Categories
### 🔴 Critical Issues
- Security vulnerabilities
- Potential crashes or data loss
- Critical performance problems
- Major architectural issues
### 🟡 Warnings
- Code quality issues
- Potential bugs
- Performance concerns
- Best practice violations
### 🔵 Info
- Style and formatting issues
- Documentation improvements
- Minor optimizations
- Educational notes
### 🟢 Suggestions
- Enhancement opportunities
- Alternative approaches
- Future improvements
- Learning opportunities
## Best Practices
### Before Submitting PRs
1. **Run Local Tests**: Ensure your code passes all tests
2. **Perform Code Review**: Use `devbox review` to get AI feedback
3. **Address Issues**: Fix critical and warning issues
4. **Review Suggestions**: Consider implementing improvement suggestions
5. **Submit PR**: Only after addressing important issues
### Optimizing Review Quality
1. **Keep Changes Focused**: Smaller, focused changes get better reviews
2. **Include Context**: Make sure related files are included
3. **Use Descriptive Commits**: Clear commit messages help with context
4. **Review Regularly**: Don't wait until the end to review
### Cost Management
1. **Monitor Usage**: Keep track of API token usage
2. **Use Appropriate Models**: Consider gpt-3.5-turbo for routine reviews
3. **Limit File Count**: Focus on the most important files
4. **Batch Reviews**: Review multiple related changes together
## Troubleshooting
### Common Issues
**API Key Not Found**
```bash
Error: OpenAI API key not found
```
**Solution**: Set the `OPENAI_API_KEY` environment variable or use `--api-key` parameter
**API Connectivity Issues**
```bash
Error: OpenAI API connectivity test failed
```
**Solution**: Check your internet connection and API key validity
**No Changed Files**
```bash
Warning: No changed files found for review
```
**Solution**: Make sure you have staged or unstaged changes in your component
**Server Port Already in Use**
```bash
Error: Port 8080 is already in use
```
**Solution**: Use a different port with `--port` parameter
### Performance Tips
1. **Limit File Size**: Large files take longer to review and cost more
2. **Use Appropriate Model**: gpt-3.5-turbo is faster and cheaper than gpt-4
3. **Review Incrementally**: Review changes as you make them, not all at once
4. **Exclude Generated Files**: Add generated files to exclusion patterns
## Integration with Workflow
### Pre-PR Checklist
```bash
# 1. Run tests
devbox package --component=chat --test-mode=test
# 2. Perform code review
devbox review --component=chat
# 3. Address review issues
# (Fix code based on review feedback)
# 4. Re-review if needed
devbox review --component=chat
# 5. Submit PR
git push origin feature/chat-improvements
```
### CI/CD Integration
The code review feature can be integrated into your CI/CD pipeline:
- Run reviews automatically on pull requests
- Block merges if critical issues are found
- Generate review reports for team review
- Track review metrics over time
## Security and Privacy
### Local Processing
- All code review processing happens locally
- No code is stored on external servers
- API calls only send code content to OpenAI
- Review reports are stored locally
### API Key Security
- Store API keys in environment variables
- Never commit API keys to version control
- Use different API keys for different environments
- Monitor API usage for unusual activity
## Future Enhancements
### Planned Features
- **Custom Review Templates**: Define project-specific review criteria
- **Team Review Integration**: Share reviews with team members
- **Historical Tracking**: Track review metrics over time
- **Automated Fixes**: Suggest and apply automatic fixes
- **Multi-language Support**: Enhanced support for more programming languages
- **IDE Integration**: Direct integration with popular IDEs
### Advanced Capabilities
- **Context-Aware Reviews**: Consider project history and architecture
- **Performance Profiling**: Automated performance analysis
- **Security Scanning**: Integration with security scanning tools
- **Compliance Checking**: Verify compliance with coding standards
## Support
### Getting Help
- Check the troubleshooting section above
- Review the configuration options
- Ensure your OpenAI API key is valid and has sufficient credits
- Verify your component directory structure
### Contributing
The code review feature is designed to be extensible. You can:
- Customize review prompts for your specific needs
- Add support for additional file types
- Enhance the HTML report templates
- Integrate with additional tools and services
---
**Note**: The OpenAI code review feature requires an active OpenAI API key and internet connectivity. API usage is subject to OpenAI's pricing and rate limits.

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# DevBox CLI Reliability Improvements
## Overview
This document outlines the comprehensive reliability improvements made to the DevBox CLI to address startup failures across different operating systems and local environments.
## Key Issues Addressed
### 1. **OS Detection & Architecture Issues**
- **Problem**: Limited OS detection and architecture handling
- **Solution**: Enhanced `detect_os_and_arch()` function with comprehensive OS and architecture detection
- **Features**:
- Detects macOS, Linux, WSL2, and other Unix-like systems
- Identifies ARM64, AMD64, and ARM32 architectures
- Checks for AVX2 support on x86_64 systems
- Validates OS version compatibility
### 2. **Docker Installation & Management**
- **Problem**: Docker installation failures on different OS versions
- **Solution**: Enhanced Docker management with OS-specific installation methods
- **Features**:
- OS-specific Docker installation (Ubuntu/Debian, CentOS/RHEL, macOS, WSL2)
- Docker Desktop detection and guidance
- Automatic Docker service startup
- Permission and group management
- Retry mechanisms for installation failures
### 3. **Port Conflict Detection & Resolution**
- **Problem**: Port conflicts causing startup failures
- **Solution**: Intelligent port management system
- **Features**:
- OS-specific port checking (lsof for macOS, netstat/ss for Linux)
- Automatic port conflict resolution
- Dynamic port assignment
- Port availability validation
### 4. **Error Recovery & Retry Mechanisms**
- **Problem**: Transient failures causing complete setup failures
- **Solution**: Comprehensive retry and recovery system
- **Features**:
- Configurable retry attempts with exponential backoff
- Health checks for services and containers
- Automatic cleanup on failure
- Detailed error reporting and recovery suggestions
### 5. **Network Connectivity Issues**
- **Problem**: Network connectivity failures during setup
- **Solution**: Network connectivity validation
- **Features**:
- Pre-setup network connectivity checks
- Endpoint availability testing
- Timeout handling for slow connections
- Graceful degradation for network issues
## New Functions Added
### Environment Detection & Validation
```bash
detect_os_and_arch() # Comprehensive OS and architecture detection
validate_environment() # Environment compatibility validation
validate_prerequisites() # Prerequisites checking
```
### Docker Management
```bash
install_docker() # Main Docker installation function
install_docker_ubuntu_debian() # Ubuntu/Debian specific installation
install_docker_centos_rhel() # CentOS/RHEL specific installation
install_docker_generic() # Generic installation fallback
check_docker_running() # Docker daemon status check
start_docker_service() # Docker service startup
```
### Port Management
```bash
check_port_availability() # Port availability checking
find_available_port() # Find next available port
resolve_port_conflicts() # Automatic port conflict resolution
install_networking_tools() # Install required networking tools
```
### Error Recovery
```bash
retry_command() # Generic retry mechanism
health_check_service() # Service health checking
check_container_health() # Container health validation
check_network_connectivity() # Network connectivity testing
cleanup_on_failure() # Cleanup on setup failure
```
## Improved Workflow
### Before (Prone to Failures)
1. Basic OS detection
2. Simple Docker check
3. Direct port usage (no conflict checking)
4. Single attempt operations
5. Limited error handling
### After (Reliable & Robust)
1. **Comprehensive environment validation**
- OS and architecture detection
- Prerequisites checking
- Resource availability validation
2. **Intelligent Docker management**
- OS-specific installation
- Docker Desktop detection
- Service startup with retry
3. **Port conflict resolution**
- Automatic port checking
- Dynamic port assignment
- Conflict resolution
4. **Robust error handling**
- Retry mechanisms for transient failures
- Health checks for all services
- Automatic cleanup on failure
5. **Network validation**
- Pre-setup connectivity checks
- Graceful handling of network issues
## Usage Examples
### Basic Usage (Same as Before)
```bash
devbox init
```
### With Reliability Features
```bash
# The CLI now automatically handles:
# - OS detection and validation
# - Docker installation if needed
# - Port conflict resolution
# - Network connectivity checks
# - Retry mechanisms for failures
devbox init
```
### Verbose Mode for Troubleshooting
```bash
# All reliability checks are logged with detailed information
devbox init --verbose
```
## Error Handling Improvements
### Before
- Single failure point would stop entire setup
- Limited error messages
- No automatic recovery
### After
- **Graceful degradation**: Continue with warnings for non-critical issues
- **Detailed error messages**: Specific guidance for each failure type
- **Automatic recovery**: Retry mechanisms for transient failures
- **Cleanup on failure**: Automatic cleanup of partial setups
## Cross-Platform Support
### macOS
- Docker Desktop detection and guidance
- Homebrew integration for tools
- macOS-specific port checking with lsof
### Linux (Ubuntu/Debian/CentOS/RHEL)
- Native Docker installation
- Systemd service management
- Package manager integration
### WSL2
- Docker Desktop for Windows integration
- WSL2-specific socket checking
- Cross-platform file system handling
### ARM64/AMD64
- Architecture-specific image selection
- Performance optimization detection
- Cross-compilation support
## Monitoring & Logging
### Enhanced Logging
- Step-by-step progress indication
- Detailed error messages with context
- Success/failure status for each operation
- Timing information for performance monitoring
### Health Monitoring
- Service health checks
- Container status monitoring
- Network connectivity validation
- Resource usage tracking
## Future Enhancements
### Planned Improvements
1. **Configuration Profiles**: Save and reuse successful configurations
2. **Diagnostic Mode**: Comprehensive system analysis
3. **Auto-recovery**: Automatic recovery from common failure scenarios
4. **Performance Optimization**: Faster setup times with parallel operations
5. **Remote Troubleshooting**: Remote diagnostic capabilities
### Monitoring & Analytics
1. **Success Rate Tracking**: Monitor setup success rates across environments
2. **Performance Metrics**: Track setup times and resource usage
3. **Error Pattern Analysis**: Identify common failure patterns
4. **User Feedback Integration**: Collect and act on user feedback
## Conclusion
These reliability improvements transform DevBox CLI from a basic setup script into a robust, cross-platform development environment orchestrator that can handle the complexities of different operating systems, network conditions, and local environments.
The improvements maintain backward compatibility while significantly reducing setup failures and providing better user experience through:
- **Proactive problem detection**
- **Automatic issue resolution**
- **Comprehensive error handling**
- **Detailed user guidance**
- **Robust recovery mechanisms**
This makes DevBox CLI much more reliable for developers working across different platforms and environments.

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