# FCP Live Instance Integration Test Summary

## Test Environment
- **Test Date**: July 14, 2025
- **Instances Tested**: 3 FCP instances with H100 GPUs
  - 18.144.35.49 (smoke-basic-1751670457-1)
  - 54.177.129.4 (smoke-basic-1751668857-1)
  - 54.183.175.243 (smoke-basic-1751669966-1)
- **Instance Specs**: 8x NVIDIA H100 80GB GPUs per instance
- **SSH Access**: Via `~/.ssh/flow_key`

## Test Results Summary

### 1. SSH Connectivity ✅
- **Status**: All 3 instances accessible
- **Key Finding**: SSH access works with Flow-generated keys
- **Recommendation**: Set `FCP_SSH_KEY` environment variable for automatic key discovery

### 2. Startup Scripts ⚠️
- **Status**: 64.3% tests passed
- **Key Findings**:
  - No Flow-specific startup scripts found at expected locations
  - Cloud-init completed successfully
  - No Flow environment variables set (FLOW_TASK_ID, FLOW_INSTANCE_ID, etc.)
  - Instances appear to be started without Flow's startup script mechanism
- **Issues**:
  - `/var/lib/cloud/instance/scripts/part-001` not found
  - No `/var/log/flow-startup.log` present
  - Flow logs exist but named as `/var/log/unknown.*`

### 3. Docker Functionality ✅ (with sudo)
- **Status**: Working with sudo permissions
- **Key Findings**:
  - Docker 28.3.1 installed and running
  - Ubuntu user needs sudo for Docker commands
  - GPU support requires nvidia-container-toolkit (not installed)
  - Basic container operations work
- **Recommendation**: Add ubuntu user to docker group or install nvidia-container-toolkit for GPU containers

### 4. GPU Support ✅
- **Status**: Fully functional
- **Key Findings**:
  - 8x NVIDIA H100 80GB GPUs detected per instance
  - NVIDIA drivers version 535.183.01
  - nvidia-smi available and working
  - Total GPU memory: 81,559 MiB per GPU

### 5. Log Collection ✅
- **Status**: 100% tests passed
- **Key Findings**:
  - System logs accessible (syslog, auth.log, cloud-init)
  - Flow logs present as `/var/log/unknown.*` files
  - Log streaming works correctly
  - Container logs accessible with sudo
  - Log rotation configured

### 6. Missing Features
- **Colab Integration**: Not tested (requires specific Colab setup)
- **Data Mounting**: Basic filesystem operations work, no special mounts detected
- **nvidia-container-toolkit**: Not installed, preventing GPU container usage

## Test Execution Summary

| Test Category | Tests Run | Passed | Failed | Success Rate |
|--------------|-----------|---------|---------|--------------|
| SSH Connectivity | 3 | 3 | 0 | 100% |
| Startup Scripts | 14 | 9 | 5 | 64.3% |
| Docker (initial) | 84 | 33 | 51 | 39.3% |
| Docker (with sudo) | 6 | 6 | 0 | 100% |
| Log Collection | 22 | 22 | 0 | 100% |
| **Total** | **129** | **73** | **56** | **56.6%** |

## Recommendations for Production Use

1. **Docker Access**: 
   ```bash
   sudo usermod -aG docker ubuntu
   # Logout and login required
   ```

2. **GPU Container Support**:
   ```bash
   sudo apt-get update
   sudo apt-get install -y nvidia-container-toolkit
   sudo systemctl restart docker
   ```

3. **Startup Script Integration**:
   - Ensure Flow startup scripts are properly injected during instance creation
   - Verify Flow environment variables are set
   - Check startup script size limits

4. **Monitoring**:
   - Set up proper log aggregation for `/var/log/unknown.*` files
   - Monitor disk space for log rotation
   - Configure alerts for container failures

## Test Artifacts Created

1. **Test Scripts**:
   - `verify_instance_access.py` - SSH connectivity verification
   - `test_startup_scripts_integration.py` - Startup script testing
   - `test_docker_integration.py` - Comprehensive Docker tests
   - `test_docker_sudo.py` - Quick Docker verification with sudo
   - `test_logs_integration.py` - Log collection and streaming tests
   - `test_fcp_live_instances.py` - Full integration test suite

2. **Test Reports**:
   - `startup_script_test_report.json`
   - `docker_integration_report.json`
   - `logs_integration_report.json`

## Next Steps

1. Install nvidia-container-toolkit for GPU container support
2. Investigate why Flow startup scripts weren't executed
3. Create tests for Colab-specific features if needed
4. Set up continuous integration for these tests
5. Document the expected vs actual startup script behavior

## Conclusion

The FCP instances are functional with working Docker, GPU support, and log collection. The main gap is the missing Flow-specific startup script execution, which suggests these instances may have been created outside the normal Flow workflow. For production use, ensure proper startup script injection and nvidia-container-toolkit installation for full GPU container support.