SashegDev
874b6f20c2
Основа — Horizon (MIT). История апстрима не переносится: этот репозиторий ведёт свою.
65 lines
2.5 KiB
Python
65 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""Profile the validation and typed-deserialization passes in separate processes.
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Build `cargo build --release -p horizon-client --example gameplay_decode_profile`
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then run this tool with the matching prepared resources. These passes are
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both currently required for exact JSON error classification/precedence.
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"""
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import argparse
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import hashlib
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import json
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import os
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import statistics
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from pathlib import Path
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from profile_shared_json import percentile, run
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def main():
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--binary", type=Path,
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default=Path("target/release/examples/gameplay_decode_profile"))
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parser.add_argument("--resources", type=Path, default=Path(".local/horizon-client/26.3"))
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parser.add_argument("--repeats", type=int, default=8)
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parser.add_argument("--output", type=Path)
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args = parser.parse_args()
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if args.repeats < 1:
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parser.error("--repeats must be positive")
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binary, resources = args.binary.resolve(), args.resources.resolve()
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if not binary.is_file() or not resources.is_dir():
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parser.error("release example or resources missing")
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modes = ("validate", "typed")
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samples = {mode: [] for mode in modes}
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loads = [os.getloadavg()]
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for i in range(args.repeats):
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for mode in (modes if i % 2 == 0 else reversed(modes)):
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samples[mode].append(run(binary, resources, mode))
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loads.append(os.getloadavg())
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result = {
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"scope": "Isolated gameplay-facts.json validation/typed decoding; includes JSON file read",
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"resources": str(resources),
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"repeats": args.repeats,
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"load_averages_before_after": loads,
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"binary_sha256": hashlib.sha256(binary.read_bytes()).hexdigest(),
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"metrics": {
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mode: {
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key: {"median": round(statistics.median(values), 3),
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"p25": round(percentile(values, .25), 3),
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"p75": round(percentile(values, .75), 3),
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"min": round(min(values), 3), "max": round(max(values), 3),
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"samples": [round(x, 3) for x in values]}
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for key in rows[0]
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for values in [[row[key] for row in rows]]
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}
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for mode, rows in samples.items()
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},
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}
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data = json.dumps(result, indent=2)
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print(data)
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if args.output:
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args.output.parent.mkdir(parents=True, exist_ok=True)
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args.output.write_text(data + "\n")
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if __name__ == "__main__":
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main()
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