# Remote Dashboard Deployment Summary

## Overview
Successfully deployed the Calejo Control Adapter dashboard to the remote server at `95.111.206.155` on port 8081.

## Deployment Status

### ✅ SUCCESSFULLY DEPLOYED
- **Remote Dashboard**: Running on `http://95.111.206.155:8081`
- **Health Check**: Accessible at `/health` endpoint
- **Service Status**: Healthy and running
- **SSH Access**: Working correctly

### 🔄 CURRENT SETUP
- **Existing Production**: Port 8080 (original Calejo Control Adapter)
- **Test Deployment**: Port 8081 (new dashboard deployment)
- **Mock Services**: 
  - Mock SCADA: `http://95.111.206.155:8083`
  - Mock Optimizer: `http://95.111.206.155:8084`

## Key Achievements

1. **SSH Deployment**: Successfully deployed via SSH to remote server
2. **Container Configuration**: Fixed Docker command to use `python -m src.main`
3. **Port Configuration**: Test deployment running on port 8081 (mapped to container port 8080)
4. **Health Monitoring**: Health check endpoint working correctly

## Deployment Details

### Remote Server Information
- **Host**: `95.111.206.155`
- **SSH User**: `root`
- **SSH Key**: `deploy/keys/production_key`
- **Deployment Directory**: `/opt/calejo-control-adapter-test`

### Service Configuration
- **Container Name**: `calejo-control-adapter-test-app-1`
- **Port Mapping**: `8081:8080`
- **Health Check**: `curl -f http://localhost:8080/health`
- **Command**: `python -m src.main`

## Access URLs

- **Dashboard**: http://95.111.206.155:8081
- **Health Check**: http://95.111.206.155:8081/health
- **Existing Production**: http://95.111.206.155:8080

## Verification

All deployment checks passed:
- ✅ SSH connection established
- ✅ Docker container built and running
- ✅ Health endpoint accessible
- ✅ Service logs showing normal operation
- ✅ Port 8081 accessible from external

## Next Steps

1. **Test Discovery**: Verify the dashboard can discover remote services
2. **Protocol Mapping**: Test protocol mapping functionality
3. **Integration Testing**: Test end-to-end integration with mock services
4. **Production Deployment**: Consider deploying to production environment

## Files Modified

- `docker-compose.test.yml` - Fixed command and port configuration

## Deployment Scripts Used

- `deploy/ssh/deploy-remote.sh -e test` - Main deployment script
- Manual fixes for Docker command configuration

## Notes

- The deployment successfully resolved the issue where the container was trying to run `start_dashboard.py` instead of the correct `python -m src.main`
- The test deployment runs alongside the existing production instance without conflicts
- SSH deployment is now working correctly after the initial connection issues were resolved