mirror of
https://github.com/SK8-ENGINE/skate-3-rust-engine.git
synced 2026-10-27 19:54:40 +00:00
Ethanw05andCursor
e2b85b6489
Apply probe SH to online customiser characters after remote bind, restore received sun shadows, and ship Skyline driving, fullscreen, and renderer improvements on the branch. Co-authored-by: Cursor <[email protected]>
74 lines
2.8 KiB
Python
74 lines
2.8 KiB
Python
#!/usr/bin/env python3
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import json
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import collections
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import sys
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from pathlib import Path
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def parse_trace(path: Path, gameplay_start_us: int = 15_000_000):
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with path.open(encoding="utf-8") as f:
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data = json.load(f)
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events = data.get("traceEvents", data if isinstance(data, list) else [])
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dur = [
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e
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for e in events
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if isinstance(e, dict)
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and e.get("ph") == "X"
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and "dur" in e
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and e.get("ts", 0) >= gameplay_start_us
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]
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by_name = collections.defaultdict(lambda: [0, 0])
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by_cat = collections.defaultdict(lambda: [0, 0])
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for e in dur:
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name = e.get("name", "?")
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cat = e.get("cat", "")
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by_name[name][0] += e["dur"]
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by_name[name][1] += 1
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by_cat[cat][0] += e["dur"]
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by_cat[cat][1] += 1
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print(f"=== TOP SYSTEMS (after {gameplay_start_us/1e6:.1f}s) ===")
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for name, (total, count) in sorted(by_name.items(), key=lambda x: -x[1][0])[:50]:
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if total < 1000:
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continue
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print(
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f"{total/1000:9.1f} ms {count:5d}x {total/count/1000:6.2f} ms/call {name}"
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)
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print("\n=== TOP CATEGORIES ===")
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for cat, (total, count) in sorted(by_cat.items(), key=lambda x: -x[1][0])[:20]:
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label = cat or "(none)"
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print(f"{total/1000:9.1f} ms {count:5d}x {label}")
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def compare_perf(repo: Path):
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for label, name in [("StartPark", "perf.json"), ("University", "perf-university.json")]:
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p = json.loads((repo / name).read_text(encoding="utf-8"))
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print(f"=== {label} ===")
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print(f" FPS: {p['fps']:.1f}")
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print(
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f" frame_ms mean/median/p95/max: "
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f"{p['frame_ms_mean']:.2f} / {p['frame_ms_median']:.2f} / "
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f"{p['frame_ms_p95']:.2f} / {p['frame_ms_max']:.2f}"
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)
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print(f" main_schedule_ms: {p['main_schedule_ms_mean']:.2f}")
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print(
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f" physics ms/frame: {p['physics_ms_per_frame']:.3f} "
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f"ticks/frame: {p['physics_ticks_per_frame']:.2f} "
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f"ms/tick: {p['physics_ms_per_tick']:.3f}"
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)
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print(
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f" render prepare: {p['render_prepare_ms_mean']:.2f} "
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f"assets: {p['render_assets_ms_mean']:.2f} "
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f"views: {p.get('render_views_ms_mean', 0):.2f} "
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f"queue: {p['render_queue_ms_mean']:.2f}"
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)
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secs = p.get("sections_ms_per_call", {})
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if secs:
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top = sorted(secs.items(), key=lambda x: -x[1])[:5]
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print(f" sections: {dict(top)}")
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if __name__ == "__main__":
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repo = Path(__file__).resolve().parents[1]
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if len(sys.argv) > 1 and sys.argv[1] == "perf":
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compare_perf(repo)
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else:
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trace = repo / (sys.argv[1] if len(sys.argv) > 1 else "trace-university.json")
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parse_trace(trace)
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