feature/CSTACKEX-237: Pilot changes for scalebenmark framework - #85
feature/CSTACKEX-237: Pilot changes for scalebenmark framework#85piyush5netapp wants to merge 1 commit into
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sandeeplocharla
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Overall, the pattern looks good but try to optimize the loggers and add more guardrails to the agent.
| python3 benchmark_storage_pool_concurrency.py --config config.yaml | ||
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| # Concurrency matrix, iSCSI only, overriding the levels to run: | ||
| python3 benchmark_storage_pool_concurrency.py --config config.yaml --protocol iscsi --levels 2,5,10,20,30 |
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It should be enough to set config.yaml with all necessary combinations and use the fields appropriately in the code. Additional params might not be needed at this point.
| # Use the SAME --run-id across both scripts to combine 5.1.x + 6.1.x into one | ||
| # summary_<run_id>.csv / report (run sequential first, review it, then decide | ||
| # whether to proceed with concurrency under the same run id): | ||
| python3 benchmark_storage_pool_sequential.py --config config.yaml --run-id RUN-0001 |
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See if this run id can be randomized or create a pattern using timestamp or something?
| 6.1.1 Parallel pool creation | ||
| 6.1.2 Parallel pool deletion | ||
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| See benchmark_storage_pool_sequential.py for the sequential scale matrix |
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Maybe add a rule in agents.md/custom-instruction file to only refer confluence but not add references to it in the code?
| else: | ||
| print(f" !! {result.error}") | ||
| if i in checkpoints: | ||
| total = sum(create_durations) |
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I guess the same statistics mean used in concurrent run script could be used here. Maybe include a rule to keep the code and libraries used consistent across the scripts.
| "total_time_sec": round(total, 3), "avg_time_sec": round(avg, 3), | ||
| "success_count": deleted_ok, "failure_count": idx - deleted_ok, "notes": "", | ||
| }) | ||
| print(f" >> checkpoint remaining={remaining}: total={total:.3f}s avg={avg:.3f}s/op " |
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Add a rule to keep the loggers also consistent across the scripts for better readability.
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| def main(): | ||
| parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) | ||
| parser.add_argument("--config", default="config.yaml", help="Path to config YAML (default: config.yaml)") |
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As all the scripts seem to have same/similar args, it would be better to have a run.py file to which you would pass both the args and the name of the test you want to run. The respective script could be invoked from there while the additional args passed could be used to edit config file.
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