Add environment configuration and local development documentation
- Parameterize CORS_ORIGINS in docker-compose.swarm.yml - Add .env.example with configuration options - Create comprehensive LOCAL_DEVELOPMENT.md guide - Update README.md with environment variable documentation - Provide alternatives for local development without production domain 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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backend/DEPLOYMENT_FIXES.md
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backend/DEPLOYMENT_FIXES.md
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# Hive Backend Deployment Fixes
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## Critical Issues Identified and Fixed
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### 1. Database Connection Issues ✅ FIXED
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**Problem:**
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- Simple DATABASE_URL fallback to SQLite in production
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- No connection pooling
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- No retry logic for database connections
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- Missing connection validation
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**Solution:**
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- Added PostgreSQL connection pooling with proper configuration
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- Implemented database connection retry logic
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- Added connection validation and health checks
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- Enhanced error handling for database operations
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**Files Modified:**
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- `/home/tony/AI/projects/hive/backend/app/core/database.py`
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### 2. FastAPI Lifecycle Management ✅ FIXED
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**Problem:**
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- Synchronous database table creation in async context
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- No error handling in startup/shutdown
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- No graceful handling of initialization failures
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**Solution:**
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- Added retry logic for database initialization
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- Enhanced error handling in lifespan manager
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- Proper cleanup on startup failures
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- Graceful shutdown handling
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**Files Modified:**
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- `/home/tony/AI/projects/hive/backend/app/main.py`
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### 3. Health Check Robustness ✅ FIXED
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**Problem:**
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- Health check could fail if coordinator was unhealthy
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- No database connection testing
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- Insufficient error handling
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**Solution:**
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- Enhanced health check with comprehensive component testing
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- Added database connection validation
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- Proper error reporting with appropriate HTTP status codes
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- Component-wise health status reporting
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**Files Modified:**
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- `/home/tony/AI/projects/hive/backend/app/main.py`
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### 4. Coordinator Initialization ✅ FIXED
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**Problem:**
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- No proper error handling during initialization
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- Agent HTTP requests lacked timeout configuration
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- No graceful shutdown for running tasks
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- Memory leaks possible with task storage
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**Solution:**
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- Added HTTP client session with proper timeout configuration
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- Enhanced error handling during initialization
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- Proper task cancellation during shutdown
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- Resource cleanup on errors
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**Files Modified:**
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- `/home/tony/AI/projects/hive/backend/app/core/hive_coordinator.py`
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### 5. Docker Production Readiness ✅ FIXED
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**Problem:**
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- Missing environment variable defaults
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- No database migration handling
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- Health check reliability issues
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- No proper signal handling
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**Solution:**
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- Added environment variable defaults
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- Enhanced health check with longer startup period
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- Added dumb-init for proper signal handling
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- Production-ready configuration
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**Files Modified:**
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- `/home/tony/AI/projects/hive/backend/Dockerfile`
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- `/home/tony/AI/projects/hive/backend/.env.production`
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## Root Cause Analysis
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### Primary Issues:
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1. **Database Connection Failures**: Lack of retry logic and connection pooling
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2. **Race Conditions**: Poor initialization order and error handling
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3. **Resource Management**: No proper cleanup of HTTP sessions and tasks
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4. **Production Configuration**: Missing environment variables and timeouts
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### Secondary Issues:
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1. **CORS Configuration**: Limited to localhost only
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2. **Error Handling**: Insufficient error context and logging
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3. **Health Checks**: Not comprehensive enough for production
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4. **Signal Handling**: No graceful shutdown support
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## Deployment Instructions
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### 1. Environment Setup
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```bash
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# Copy production environment file
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cp .env.production .env
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# Update secret key and other sensitive values
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nano .env
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```
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### 2. Database Migration
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```bash
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# Create migration if needed
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alembic revision --autogenerate -m "Initial migration"
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# Apply migrations
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alembic upgrade head
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```
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### 3. Docker Build
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```bash
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# Build with production configuration
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docker build -t hive-backend:latest .
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# Test locally
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docker run -p 8000:8000 --env-file .env hive-backend:latest
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```
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### 4. Health Check Verification
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```bash
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# Test health endpoint
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curl -f http://localhost:8000/health
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# Expected response should include all components as "operational"
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```
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## Service Scaling Recommendations
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### 1. Database Configuration
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- **Connection Pool**: 10 connections with 20 max overflow
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- **Connection Recycling**: 3600 seconds (1 hour)
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- **Pre-ping**: Enabled for connection validation
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### 2. Application Scaling
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- **Replicas**: Start with 2 replicas for HA
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- **Workers**: 1 worker per container (better isolation)
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- **Resources**: 512MB memory, 0.5 CPU per replica
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### 3. Load Balancing
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- **Health Check**: `/health` endpoint with 30s interval
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- **Startup Grace**: 60 seconds for initialization
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- **Timeout**: 10 seconds for health checks
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### 4. Monitoring
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- **Prometheus**: Metrics available at `/api/metrics`
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- **Logging**: Structured JSON logs for aggregation
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- **Alerts**: Set up for failed health checks
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## Troubleshooting Guide
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### Backend Not Starting
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1. Check database connectivity
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2. Verify environment variables
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3. Check coordinator initialization logs
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4. Validate HTTP client connectivity
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### Service Scaling Issues
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1. Monitor memory usage (coordinator stores tasks)
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2. Check database connection pool exhaustion
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3. Verify HTTP session limits
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4. Review task execution timeouts
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### Health Check Failures
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1. Database connection issues
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2. Coordinator initialization failures
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3. HTTP client timeout problems
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4. Resource exhaustion
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## Production Monitoring
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### Key Metrics to Watch:
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- Database connection pool usage
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- Task execution success rate
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- HTTP client connection errors
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- Memory usage trends
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- Response times for health checks
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### Log Analysis:
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- Search for "initialization failed" patterns
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- Monitor database connection errors
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- Track coordinator shutdown messages
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- Watch for HTTP timeout errors
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## Security Considerations
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### Environment Variables:
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- Never commit `.env` files to version control
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- Use secrets management for sensitive values
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- Rotate database credentials regularly
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- Implement proper RBAC for API access
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### Network Security:
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- Use HTTPS in production
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- Implement rate limiting
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- Configure proper CORS origins
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- Use network policies for pod-to-pod communication
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## Next Steps
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1. **Deploy Updated Images**: Build and deploy with fixes
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2. **Monitor Metrics**: Set up monitoring and alerting
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3. **Load Testing**: Verify scaling behavior under load
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4. **Security Audit**: Review security configurations
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5. **Documentation**: Update operational runbooks
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The fixes implemented address the root causes of the 1/2 replica scaling issue and should result in stable 2/2 replica deployment.
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