#!/usr/bin/env python3 """Measure streaming coverage while the standalone queue follows a moving camera.""" from __future__ import annotations import csv import json import re import subprocess import time from pathlib import Path ROOT = Path(__file__).resolve().parents[4] OUT = ROOT / "Saved/Linux/l79/movement/headless" DATA = ROOT / "Standalone/data/owner_world.json" BINARY = ROOT / "Saved/Linux/l79/bin/VoxelForgeCoreHeadless-l79-final" CAMERA_M = (19.166015625, -14.2001953125, -753.3740234375) POLICIES = {0: "L77", 1: "L78", 2: "L79"} SPEEDS = {"walk": 1.4, "fast": 30.0} SAMPLE = re.compile(r"^\[L79MovingSample\] (.*)$", re.M) SUMMARY = re.compile(r"^\[L79MovingSummary\] (.*)$", re.M) FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)") def run(policy: int, speed_name: str) -> tuple[dict, list[dict]]: label = f"{speed_name}-{POLICIES[policy]}" log = OUT / f"{label}.log" OUT.mkdir(parents=True, exist_ok=True) camera = ",".join(f"{value:.12f}" for value in CAMERA_M) + ",0,0" command = [ "taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--", "timeout", "1740s", str(BINARY), str(DATA), "--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline", "--workers=8", "--clip-radius=3", "--max-clip-level=8", "--max-level=8", f"--camera={camera}", "--profile-lod-work", f"--stream-scheduler-policy={policy}", f"--moving-camera-speed-mps={SPEEDS[speed_name]:.1f}", "--moving-camera-duration-s=12", "--moving-camera-dwell-s=5", ] started = time.monotonic() with log.open("w", encoding="utf-8") as stream: result = subprocess.run(command, cwd=ROOT, stdout=stream, stderr=subprocess.STDOUT, check=False, timeout=1740) content = log.read_text(encoding="utf-8", errors="replace") samples = [dict(FIELDS.findall(match.group(1))) for match in SAMPLE.finditer(content)] summary_match = SUMMARY.search(content) engine_summary = dict(FIELDS.findall(summary_match.group(1))) if summary_match else {} if result.returncode != 0 or not samples or not engine_summary: raise SystemExit(f"moving-camera run failed or trace missing: {log}; exit={result.returncode}") for row in samples: for name in ("policy", "speed_mps", "t_s", "x_m", "near_ready_pct", "far_missing_pct", "far_hole_pct", "far_stale_mean_s", "far_stale_max_s", "generation_failures", "queue_update_ms"): row[name] = float(row[name]) row["label"] = label if int(float(engine_summary.get("generation_failures", "-1"))) != 0: raise SystemExit(f"tile generation failure: {log}") run_info = { "label": label, "policy": POLICIES[policy], "policy_id": policy, "speed": speed_name, "speed_mps": SPEEDS[speed_name], "exit_code": result.returncode, "elapsed_s": round(time.monotonic() - started, 3), "samples": len(samples), "engine_summary": engine_summary, "log": str(log.relative_to(ROOT)), } print("[L79HeadlessMoveRun] " + json.dumps(run_info, sort_keys=True), flush=True) return run_info, samples def main() -> int: if not DATA.is_file() or not BINARY.is_file(): raise SystemExit(f"missing input: {DATA} or {BINARY}") results: list[dict] = [] samples: list[dict] = [] schedule = [(policy, speed) for speed in ("walk", "fast") for policy in (0, 1, 2)] for policy, speed in schedule: result, rows = run(policy, speed) results.append(result) samples.extend(rows) (OUT / "runs-partial.json").write_text( json.dumps(results, indent=2) + "\n", encoding="utf-8") summary = [] for speed_name, speed in SPEEDS.items(): for policy in POLICIES: rows = [row for row in samples if row["speed_mps"] == speed and row["policy"] == policy] moving = [row for row in rows if row.get("phase") == "move"] dwell = [row for row in rows if row.get("phase") == "dwell"] summary.append({ "speed": speed_name, "speed_mps": speed, "policy": POLICIES[policy], "moving_samples": len(moving), "dwell_samples": len(dwell), "far_missing_moving_mean_pct": round( sum(row["far_missing_pct"] for row in moving) / max(1, len(moving)), 3), "far_missing_moving_max_pct": max( (row["far_missing_pct"] for row in moving), default=None), "far_missing_dwell_last_pct": dwell[-1]["far_missing_pct"] if dwell else None, "far_hole_moving_mean_pct": round( sum(row["far_hole_pct"] for row in moving) / max(1, len(moving)), 3), "far_hole_moving_max_pct": max( (row["far_hole_pct"] for row in moving), default=None), "far_hole_dwell_last_pct": dwell[-1]["far_hole_pct"] if dwell else None, "far_stale_moving_max_s": max( (row["far_stale_max_s"] for row in moving), default=None), "far_stale_dwell_max_s": max( (row["far_stale_max_s"] for row in dwell), default=None), "near_ready_moving_mean_pct": round( sum(row["near_ready_pct"] for row in moving) / max(1, len(moving)), 3), "near_ready_moving_min_pct": min( (row["near_ready_pct"] for row in moving), default=None), "near_ready_dwell_last_pct": dwell[-1]["near_ready_pct"] if dwell else None, "queue_update_max_ms": max((row["queue_update_ms"] for row in rows), default=None), }) (OUT / "summary.json").write_text( json.dumps({"runs": results, "summary": summary}, indent=2) + "\n", encoding="utf-8") if samples: with (OUT / "samples.csv").open("w", newline="", encoding="utf-8") as stream: writer = csv.DictWriter(stream, fieldnames=list(samples[0])) writer.writeheader() writer.writerows(samples) return 0 if __name__ == "__main__": raise SystemExit(main())