How to Process System Metrics (RSS, CPU) in Python

import random
import time
from collections import namedtuple

Metric = namedtuple("Metric", ["name", "value", "unit"])


def generate_metrics(num_metrics: int = 5) -> list:
    """Simulate a batch of system metrics."""
    metrics = []
    for i in range(num_metrics):
        rss = random.randint(50, 500)  # MB
        cpu = random.uniform(0.0, 100.0)  # percent
        timestamp = int(time.time())
        metrics.append(Metric("rss", rss, "MB"))
        metrics.append(Metric("cpu", round(cpu, 2), "%"))
        metrics.append(Metric("timestamp", timestamp, "epoch"))
    return metrics


def process_metrics(metrics: list) -> dict:
    """Aggregate RSS and CPU metrics."""
    rss_values = [m.value for m in metrics if m.name == "rss"]
    cpu_values = [m.value for m in metrics if m.name == "cpu"]
    return {
        "avg_rss_mb": round(sum(rss_values) / len(rss_values), 2),
        "max_rss_mb": max(rss_values),
        "avg_cpu_pct": round(sum(cpu_values) / len(cpu_values), 2),
        "max_cpu_pct": max(cpu_values),
        "total_metrics": len(metrics),
    }


if __name__ == "__main__":
    random.seed(42)
    raw = generate_metrics(3)
    result = process_metrics(raw)
    for key, value in result.items():
        print(f"{key}: {value}")