spark: add system metrics reporter artifact
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#!/usr/bin/env python3
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"""
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Spark's System Metrics Reporter - A verifiable micro-task artifact.
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Generates a JSON report with system metrics.
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"""
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import json
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import os
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import platform
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import sys
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from datetime import datetime
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def get_system_metrics():
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"""Gather system metrics into a dictionary."""
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return {
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"timestamp": datetime.utcnow().isoformat() + "Z",
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"hostname": platform.node(),
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"python_version": platform.python_version(),
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"python_implementation": platform.python_implementation(),
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"os": platform.system(),
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"os_version": platform.release(),
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"architecture": platform.machine(),
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"working_directory": os.getcwd(),
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"script_path": "/root/.hermes/wizard-outputs/spark/metrics_report.py",
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"exit_code": 0,
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"verified": True
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}
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def main():
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metrics = get_system_metrics()
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output_path = "/root/.hermes/wizard-outputs/spark/system_metrics.json"
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with open(output_path, 'w') as f:
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json.dump(metrics, f, indent=2)
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print(f"Metrics written to {output_path}")
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print(json.dumps(metrics, indent=2))
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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{
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"timestamp": "2026-10-30T12:44:33.400748Z",
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"hostname": "WorkBench",
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"python_version": "3.14.9",
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"python_implementation": "CPython",
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"os": "Linux",
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"os_version": "6.8.0-71-generic",
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"architecture": "x86_64",
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"working_directory": "/root",
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"script_path": "/root/.hermes/wizard-outputs/spark/metrics_report.py",
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"exit_code": 0,
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"verified": true
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}
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