foxhunt/docs/archive/wave_d/reports/RUNPOD_MODULE_INTEGRATION.md

RunPod Module Integration - Complete

Summary

Successfully integrated the foxhunt_runpod Python module into scripts/runpod_deploy.py with full backward compatibility and new features.

Changes Made

1. Created foxhunt_runpod Module

Location: /home/jgrusewski/Work/foxhunt/ml/python/foxhunt_runpod/

Files:

• __init__.py - Module exports
• client.py - RunPodClient class (pod management)
• s3_monitor.py - S3LogMonitor class (log streaming)
• config.py - Configuration management (existing)
• errors.py - Error classes (existing)
• s3_client.py - Enhanced S3 operations (existing)

Key Classes:

RunPodClient

from foxhunt_runpod import RunPodClient

client = RunPodClient(
    api_key="your_api_key",
    volume_id="your_volume_id",
    registry_auth_id="optional_auth_id"
)

# Query GPUs
gpus = client.get_available_gpus(min_vram=16)

# Deploy pod
pod_data = client.deploy_pod(
    gpu_id=gpus[0]['id'],
    image="jgrusewski/foxhunt:latest",
    command="--epochs 100",
    container_disk=50
)

# Manage pods
client.stop_pod(pod_id)
client.terminate_pod(pod_id)
status = client.get_pod_status(pod_id)

S3LogMonitor

from foxhunt_runpod import S3LogMonitor

monitor = S3LogMonitor(
    bucket_name="your_bucket",
    aws_access_key="your_key",
    aws_secret_key="your_secret"
)

# Stream logs
monitor.stream_logs(
    pod_id="pod_id",
    interval=10,
    timeout=7200,
    completion_callback=monitor.check_completion
)

2. Refactored runpod_deploy.py

New Features:

1. Module Integration:

   • Automatic import of foxhunt_runpod module
   • Graceful fallback to legacy implementation if import fails
   • .venv activation check with warning

2. S3 Log Monitoring (--monitor):

   • Streams training logs from RunPod S3 in real-time
   • Configurable polling interval (default: 10s)
   • Configurable timeout (e.g., 30m, 2h)

3. Auto-Termination (--auto-stop):

   • Automatically terminates pod when training completes
   • Requires --monitor flag
   • Detects completion patterns in logs
   • Estimates final cost

4. Enhanced Error Messages:

   • Better guidance for missing dependencies
   • Clear warnings for misconfiguration

New Command-Line Flags:

--monitor              # Enable S3 log monitoring
--auto-stop            # Auto-terminate on completion
--timeout 120m         # Monitoring timeout (30m, 2h, etc.)
--monitor-interval 10  # Polling interval in seconds

Example Usage:

# Basic deployment (unchanged)
python3 scripts/runpod_deploy.py

# With monitoring
python3 scripts/runpod_deploy.py --monitor --timeout 120m

# Full automation
python3 scripts/runpod_deploy.py \
  --gpu-type "RTX A4000" \
  --monitor \
  --auto-stop \
  --timeout 2h

3. Backward Compatibility

Preserved Functionality:

• All existing flags work unchanged
• Dry-run mode preserved
• GPU fallback logic preserved
• Legacy implementation available as fallback

Dual Implementation Strategy:

• get_available_gpu_types() - Wrapper that uses new or legacy
• deploy_pod_rest_api() - Wrapper that uses new or legacy
• Functions suffixed with _new() use RunPodClient
• Functions suffixed with _legacy() use original requests code

4. Documentation

Created:

• /home/jgrusewski/Work/foxhunt/ml/python/README.md - Module documentation
• /home/jgrusewski/Work/foxhunt/ml/python/requirements.txt - Dependencies
• /home/jgrusewski/Work/foxhunt/RUNPOD_MODULE_INTEGRATION.md - This file

Updated:

• scripts/runpod_deploy.py docstring - New features
• Help text (--help) - New examples and requirements

Dependencies

Required (ml/python/requirements.txt):

boto3>=1.26.0        # S3 log monitoring
python-dotenv>=0.19.0  # .env.runpod file loading
requests>=2.28.0     # RunPod REST API

Optional (for enhanced features):

• pydantic>=2.0.0 - Config validation (existing module)
• rich>=13.0.0 - Progress bars (existing module)

Environment Variables

Required (.env.runpod):

• RUNPOD_API_KEY - RunPod API key
• RUNPOD_VOLUME_ID - Network volume ID

Optional (for monitoring):

• RUNPOD_S3_BUCKET - S3 bucket name
• RUNPOD_S3_ACCESS_KEY - AWS access key
• RUNPOD_S3_SECRET_KEY - AWS secret key
• RUNPOD_CONTAINER_REGISTRY_AUTH_ID - Docker registry auth

Testing

Verified:

1. Script help output works (--help)
2. Module imports correctly
3. Fallback to legacy works when module unavailable
4. All flags accepted by argparse
5. .venv warning displays correctly

Not Tested (requires RunPod credentials):

• Actual pod deployment
• S3 log monitoring
• Auto-termination

Architecture

scripts/runpod_deploy.py (CLI)
    ↓
    ├─ USE_NEW_MODULE = True
    │   ↓
    │   ml/python/foxhunt_runpod/
    │       ├── client.py (RunPodClient)
    │       └── s3_monitor.py (S3LogMonitor)
    │
    └─ USE_NEW_MODULE = False
        ↓
        Legacy implementation (requests + GraphQL)

Next Steps

1. Test with real deployment:

   python3 scripts/runpod_deploy.py --dry-run
   

2. Install dependencies (if needed):

   pip install -r ml/python/requirements.txt
   

3. Configure S3 credentials (for monitoring):

   • Add RUNPOD_S3_* variables to .env.runpod

4. Full automation test:

   python3 scripts/runpod_deploy.py \
     --gpu-type "RTX A4000" \
     --monitor \
     --auto-stop \
     --timeout 30m
   

Benefits

1. Cleaner Code: Moved complexity to reusable module
2. Better Testing: Can unit test RunPodClient separately
3. Enhanced Features: Log monitoring + auto-termination
4. Backward Compatible: Existing workflows unchanged
5. Maintainability: Single source of truth for RunPod API
6. Extensibility: Easy to add new features to client

Files Modified

• scripts/runpod_deploy.py (refactored, ~640 lines)

Files Created

• ml/python/foxhunt_runpod/__init__.py (16 lines)
• ml/python/foxhunt_runpod/client.py (315 lines)
• ml/python/foxhunt_runpod/s3_monitor.py (179 lines, reused existing)
• ml/python/README.md (documentation)
• ml/python/requirements.txt (dependencies)
• RUNPOD_MODULE_INTEGRATION.md (this file)

Total Lines of Code

• Module: ~510 lines
• Script refactor: ~640 lines
• Documentation: ~200 lines
• Total: ~1,350 lines