feat(monitor): initialize resource monitor service in __init__.py and register API routes
chore(monitor): create utility modules for hardware and GPU information handling
feat(gpu_info.py): add GPU information collector to monitor VRAM, utilization, and temperature
This new module collects GPU metrics using pynvml and torch, providing detailed information about available GPUs and their performance. It enhances monitoring capabilities for applications utilizing GPU resources.
feat(monitoring): add hardware information collector and monitoring service to gather and broadcast system metrics
- Introduce `hardware_info.py` to collect CPU, RAM, and disk usage metrics.
- Implement `monitor_service.py` to periodically collect and broadcast hardware metrics.
- Update `requirements.txt` to include necessary dependencies: psutil, pynvml, and py-cpuinfo.
feat(tests): add test script for resource monitor backend to verify hardware monitoring functionality
Sammy Kumar
3fde3f99cf