system2mqtt/collectors/system_metrics.py

162 lines
5.5 KiB
Python

#!/usr/bin/env python3
import psutil
import time
from datetime import datetime
from typing import Dict, Any
def collect_metrics() -> Dict[str, Any]:
"""Collect system metrics and return them in the required format."""
# Get system metrics
boot_time = datetime.fromtimestamp(psutil.boot_time())
load_avg = psutil.getloadavg()
memory = psutil.virtual_memory()
swap = psutil.swap_memory()
cpu_percent = psutil.cpu_percent(interval=1)
# Convert bytes to GB
def to_gb(bytes_value: int) -> float:
return round(bytes_value / (1024**3), 2)
return {
"version": "1.0",
"entities": [
{
"name": "Last Boot",
"sensor_id": "last_boot",
"state_class": "total",
"device_class": "timestamp",
"unit_of_measurement": "",
"value": boot_time.astimezone().isoformat(),
"icon": "mdi:clock-time-four",
"attributes": {
"friendly_name": "Last Boot Time"
}
},
{
"name": "Load Average (15m)",
"sensor_id": "load_15m",
"state_class": "measurement",
"unit_of_measurement": "",
"device_class": "power_factor",
"value": str(round(load_avg[2], 1)),
"icon": "mdi:gauge",
"attributes": {
"friendly_name": "System Load (15m)"
}
},
{
"name": "Load Average (5m)",
"sensor_id": "load_5m",
"state_class": "measurement",
"unit_of_measurement": "",
"device_class": "power_factor",
"value": str(round(load_avg[1], 1)),
"icon": "mdi:gauge",
"attributes": {
"friendly_name": "System Load (5m)"
}
},
{
"name": "Load Average (1m)",
"sensor_id": "load_1m",
"state_class": "measurement",
"unit_of_measurement": "",
"device_class": "power_factor",
"value": str(round(load_avg[0], 1)),
"icon": "mdi:gauge",
"attributes": {
"friendly_name": "System Load (1m)"
}
},
{
"name": "Memory Free",
"sensor_id": "memory_free",
"state_class": "measurement",
"unit_of_measurement": "GB",
"device_class": "data_size",
"value": str(to_gb(memory.available)),
"icon": "mdi:memory",
"attributes": {
"friendly_name": "Available Memory"
}
},
{
"name": "Memory Used",
"sensor_id": "memory_used",
"state_class": "measurement",
"unit_of_measurement": "GB",
"device_class": "data_size",
"value": str(to_gb(memory.used)),
"icon": "mdi:memory",
"attributes": {
"friendly_name": "Used Memory"
}
},
{
"name": "Memory Usage",
"sensor_id": "memory_usage",
"state_class": "measurement",
"unit_of_measurement": "%",
"device_class": "power_factor",
"value": str(memory.percent),
"icon": "mdi:memory",
"attributes": {
"friendly_name": "Memory Usage"
}
},
{
"name": "CPU Usage",
"sensor_id": "cpu_usage",
"state_class": "measurement",
"unit_of_measurement": "%",
"device_class": "power_factor",
"value": str(cpu_percent),
"icon": "mdi:cpu-64-bit",
"attributes": {
"friendly_name": "CPU Usage"
}
},
{
"name": "Swap Free",
"sensor_id": "swap_free",
"state_class": "measurement",
"unit_of_measurement": "GB",
"device_class": "data_size",
"value": str(to_gb(swap.free)),
"icon": "mdi:harddisk",
"attributes": {
"friendly_name": "Free Swap"
}
},
{
"name": "Swap Used",
"sensor_id": "swap_used",
"state_class": "measurement",
"unit_of_measurement": "GB",
"device_class": "data_size",
"value": str(to_gb(swap.used)),
"icon": "mdi:harddisk",
"attributes": {
"friendly_name": "Used Swap"
}
},
{
"name": "Swap Usage",
"sensor_id": "swap_usage",
"state_class": "measurement",
"unit_of_measurement": "%",
"device_class": "power_factor",
"value": str(swap.percent),
"icon": "mdi:harddisk",
"attributes": {
"friendly_name": "Swap Usage"
}
}
]
}
if __name__ == "__main__":
# Example usage
metrics = collect_metrics()
print(metrics)