Download src/monitoring/system_monitor.py from Vedisasi/UltraThinking-LLM-Training: direct link, hf CLI and curl.
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https://huggingface.co/Vedisasi/UltraThinking-LLM-Training/resolve/main/src/monitoring/system_monitor.py
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3.31 kB
| """System resource monitoring""" | |
| import psutil | |
| import time | |
| import logging | |
| from typing import Dict, Optional | |
| from dataclasses import dataclass | |
| logger = logging.getLogger(__name__) | |
| class SystemMetrics: | |
| """System resource metrics""" | |
| cpu_percent: float | |
| memory_percent: float | |
| memory_available_gb: float | |
| memory_used_gb: float | |
| disk_usage_percent: float | |
| timestamp: float | |
| class SystemMonitor: | |
| """Monitor system resources during training""" | |
| def __init__(self, log_interval: int = 60): | |
| """ | |
| Args: | |
| log_interval: Seconds between system metric logs | |
| """ | |
| self.log_interval = log_interval | |
| self.last_log_time = 0 | |
| self.metrics_history = [] | |
| def get_current_metrics(self) -> SystemMetrics: | |
| """Get current system metrics""" | |
| memory = psutil.virtual_memory() | |
| disk = psutil.disk_usage('/') | |
| return SystemMetrics( | |
| cpu_percent=psutil.cpu_percent(interval=0.1), | |
| memory_percent=memory.percent, | |
| memory_available_gb=memory.available / 1e9, | |
| memory_used_gb=memory.used / 1e9, | |
| disk_usage_percent=disk.percent, | |
| timestamp=time.time() | |
| ) | |
| def check_and_log(self, force: bool = False) -> Optional[SystemMetrics]: | |
| """Check system metrics and log if interval elapsed""" | |
| current_time = time.time() | |
| if force or (current_time - self.last_log_time) >= self.log_interval: | |
| metrics = self.get_current_metrics() | |
| self.metrics_history.append(metrics) | |
| self.last_log_time = current_time | |
| logger.info( | |
| f"System Metrics | " | |
| f"CPU: {metrics.cpu_percent:.1f}% | " | |
| f"RAM: {metrics.memory_used_gb:.1f}/{metrics.memory_used_gb + metrics.memory_available_gb:.1f}GB " | |
| f"({metrics.memory_percent:.1f}%) | " | |
| f"Disk: {metrics.disk_usage_percent:.1f}%" | |
| ) | |
| # Warn if resources are high | |
| if metrics.memory_percent > 90: | |
| logger.warning(f"High memory usage: {metrics.memory_percent:.1f}%") | |
| if metrics.cpu_percent > 95: | |
| logger.warning(f"High CPU usage: {metrics.cpu_percent:.1f}%") | |
| if metrics.disk_usage_percent > 90: | |
| logger.warning(f"High disk usage: {metrics.disk_usage_percent:.1f}%") | |
| return metrics | |
| return None | |
| def get_summary(self) -> Dict[str, float]: | |
| """Get summary of system metrics""" | |
| if not self.metrics_history: | |
| return {} | |
| cpu_values = [m.cpu_percent for m in self.metrics_history] | |
| mem_values = [m.memory_percent for m in self.metrics_history] | |
| return { | |
| 'avg_cpu_percent': sum(cpu_values) / len(cpu_values), | |
| 'max_cpu_percent': max(cpu_values), | |
| 'avg_memory_percent': sum(mem_values) / len(mem_values), | |
| 'max_memory_percent': max(mem_values), | |
| 'max_memory_used_gb': max(m.memory_used_gb for m in self.metrics_history) | |
| } | |