philiprehberger-server-monitor 0.1.7

System metrics collector for CPU, memory, disk, and network

philiprehberger-server-monitor

System metrics collector for CPU, memory, disk, and network.

Installation

pip install philiprehberger-server-monitor

Usage

from philiprehberger_server_monitor import Monitor, Alert

monitor = Monitor()

# Single snapshot
snap = monitor.snapshot()
print(f"CPU: {snap.cpu.percent}%")
print(f"Memory: {snap.memory.used_gb:.1f}/{snap.memory.total_gb:.1f} GB")
print(f"Disk: {snap.disk['/'].percent}%")

# Continuous monitoring with alerts
monitor.watch(
    interval=5.0,
    on_snapshot=lambda s: print(f"CPU: {s.cpu.percent}%"),
    alerts=[
        Alert(metric="cpu.percent", threshold=90, callback=lambda m, v, t: print(f"HIGH CPU: {v}%")),
        Alert(metric="memory.percent", threshold=85, callback=send_alert),
    ],
)

# Export snapshot
data = snap.to_dict()

Metrics

Category	Fields
CPU	percent, count, count_logical, per_cpu, freq_mhz
Memory	total, available, used, percent, total_gb, used_gb
Disk	mountpoint, total, used, free, percent
Network	bytes_sent, bytes_recv, packets_sent, packets_recv

API

Function / Class	Description
Monitor	System metrics monitor with snapshot(), watch(), and stop() methods
Snapshot	A point-in-time system metrics snapshot with cpu, memory, disk, network fields
CpuInfo	CPU metrics (percent, count, count_logical, per_cpu, freq_mhz)
MemoryInfo	Memory metrics (total, available, used, percent) with GB properties
DiskInfo	Disk metrics for a single mount point (total, used, free, percent)
NetworkInfo	Network metrics (bytes_sent, bytes_recv, packets_sent, packets_recv)
Alert(metric, threshold, callback)	Threshold-based alert configuration for continuous monitoring

Development

pip install -e .
python -m pytest tests/ -v

License

MIT