Simon Gardling
c6b889cea3
1. Smoothed out power draw - UPS only reports on 9 watt intervals, so smoothing it out gives more relative detail on trends 2. Add jellyfin integration - Good for seeing correlations between statistics and jellyfin streams 3. intel gpu stats - Provides info on utilization of the gpu
79 lines
2.1 KiB
Python
79 lines
2.1 KiB
Python
#!/usr/bin/env python3
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import json
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import os
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import subprocess
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import sys
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import time
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TEXTFILE = os.environ.get(
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"TEXTFILE",
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"/var/lib/prometheus-node-exporter-textfiles/intel-gpu.prom",
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)
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def read_one_sample():
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proc = subprocess.Popen(
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["intel_gpu_top", "-J", "-s", "1000"],
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stdout=subprocess.PIPE,
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stderr=subprocess.DEVNULL,
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)
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buf = b""
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depth = 0
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in_obj = False
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deadline = time.monotonic() + 5.0
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try:
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while time.monotonic() < deadline:
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byte = proc.stdout.read(1)
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if not byte:
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break
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if byte == b"{":
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in_obj = True
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depth += 1
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if in_obj:
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buf += byte
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if in_obj and byte == b"}":
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depth -= 1
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if depth == 0:
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break
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finally:
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proc.terminate()
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proc.wait()
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return json.loads(buf) if buf else None
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def write_metrics(sample):
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lines = [
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"# HELP intel_gpu_engine_busy_percent Intel GPU engine busy percentage",
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"# TYPE intel_gpu_engine_busy_percent gauge",
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]
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for engine, data in sample.get("engines", {}).items():
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lines.append(
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f'intel_gpu_engine_busy_percent{{engine="{engine}"}} {data.get("busy", 0)}'
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)
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freq = sample.get("frequency", {})
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lines += [
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"# HELP intel_gpu_frequency_mhz Intel GPU actual frequency in MHz",
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"# TYPE intel_gpu_frequency_mhz gauge",
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f'intel_gpu_frequency_mhz {freq.get("actual", 0)}',
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"# HELP intel_gpu_rc6_percent Intel GPU RC6 power-saving state percentage",
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"# TYPE intel_gpu_rc6_percent gauge",
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f'intel_gpu_rc6_percent {sample.get("rc6", {}).get("value", 0)}',
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]
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tmp = TEXTFILE + ".tmp"
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with open(tmp, "w") as f:
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f.write("\n".join(lines) + "\n")
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os.replace(tmp, TEXTFILE)
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def main():
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sample = read_one_sample()
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if sample is None:
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print("Failed to read intel_gpu_top sample", file=sys.stderr)
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sys.exit(1)
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write_metrics(sample)
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if __name__ == "__main__":
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main()
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