#!/usr/bin/env python3 """Compare L77, L78, and L79 production streaming orders while the pawn moves.""" from __future__ import annotations import csv import json import re import subprocess import time from pathlib import Path ROOT = Path(__file__).resolve().parents[4] HOST = Path("/home/jahni/VFHost") PLUGIN_SAVED = ROOT / "Saved/Linux/l79" HOST_PLUGIN_SAVED = HOST / "Plugins/VoxelForge/Saved/Linux/l79" HOST_SAVED = HOST / "Saved/Linux/l79" EDITOR = Path("/home/jahni/UnrealEngine/Engine/Binaries/Linux/UnrealEditor-Cmd") SPAWN_M = (19.166015625, -14.2001953125, -753.3740234375) # owner TunnelNetwork SPEEDS = {"walk": 140.0, "fast": 3000.0} # cm/s: 1.4 m/s and 30 m/s POLICY_NAMES = {0: "L77", 1: "L78", 2: "L79"} TRACE_DIR = PLUGIN_SAVED / "movement/traces" MOVE_START_S = 6.0 EXIT_S = 18.0 def parse_trace(path: Path, run: dict) -> tuple[list[dict], dict]: events = [] if path.is_file(): for line in path.read_text(encoding="utf-8", errors="replace").splitlines(): try: events.append(json.loads(line)) except json.JSONDecodeError: pass samples = [event for event in events if event.get("type") == "streaming_sample" and float(event.get("speed_cm_s", 0.0)) >= 50.0] scheduler = [event for event in events if event.get("type") == "scheduler_admission" and float(event.get("moving", 0)) > 0] rows = [] for event in samples: desired = event.get("desired_by_lod", [0] * 9) resident = event.get("resident_by_lod", [0] * 9) pending = event.get("pending_by_lod", [0] * 9) far_desired = sum(desired[3:]) far_resident = sum(resident[3:]) near_desired = sum(desired[:3]) near_resident = sum(resident[:3]) rows.append({ "run": run["label"], "policy": run["policy_name"], "speed": run["speed"], "t_s": event.get("t_s"), "position_cm": event.get("position_cm"), "speed_cm_s": event.get("speed_cm_s"), "far_desired": far_desired, "far_resident": far_resident, "far_pending": sum(pending[3:]), "far_missing_pct": round(100.0 * (far_desired - far_resident) / max(1, far_desired), 3), "near_desired": near_desired, "near_resident": near_resident, "near_ready_pct": round(100.0 * near_resident / max(1, near_desired), 3), "walkable_ready": event.get("walkable_ready"), **{f"lod{i}_desired": desired[i] for i in range(9)}, **{f"lod{i}_resident": resident[i] for i in range(9)}, }) submitted_far = sum(sum(event.get("submitted_by_lod", [0] * 9)[3:]) for event in scheduler) submitted_near = sum(sum(event.get("submitted_by_lod", [0] * 9)[:3]) for event in scheduler) far_missing = [row["far_missing_pct"] for row in rows] near_ready = [row["near_ready_pct"] for row in rows] abslog_lines = (run["abslog_path"].read_text(encoding="utf-8", errors="replace").splitlines() if run["abslog_path"].is_file() else []) summary = { "moving_samples": len(rows), "moving_duration_s": round(max((float(row["t_s"]) for row in rows), default=0.0) - min((float(row["t_s"]) for row in rows), default=0.0), 3), "far_missing_pct_mean": round(sum(far_missing) / max(1, len(far_missing)), 3), "far_missing_pct_max": max(far_missing, default=None), "far_missing_pct_first": far_missing[0] if far_missing else None, "far_missing_pct_last": far_missing[-1] if far_missing else None, "near_ready_pct_mean": round(sum(near_ready) / max(1, len(near_ready)), 3), "near_ready_pct_min": min(near_ready, default=None), "near_ready_pct_last": near_ready[-1] if near_ready else None, "walkable_ready_samples": sum(row["walkable_ready"] == 1 for row in rows), "submitted_near_tiles": submitted_near, "submitted_far_tiles": submitted_far, "lod0_ring_ready_events": sum(event.get("type") == "lod0_ring_ready" for event in events), "visual_gap_result": next((line.split("result=")[1].split()[0] for line in abslog_lines if "[VoxelForgeVisualGapAudit] result=" in line), "not-run"), "visual_staleness_result": next((line.split("result=")[1].split()[0] for line in abslog_lines if "[VoxelForgeVisualStaleness] result=" in line), "not-run"), } return rows, summary def run(policy: int, speed_name: str, replicate: int, audit: bool = False) -> tuple[dict, list[dict]]: label = f"{speed_name}-{POLICY_NAMES[policy]}-r{replicate}" + ("-audit" if audit else "") trace = TRACE_DIR / f"{label}.trace.jsonl" abslog = TRACE_DIR / f"{label}.log" stdout = TRACE_DIR / f"{label}.stdout.log" output = HOST_PLUGIN_SAVED / "output" / label userdir = HOST_SAVED / "user" / label zendata = HOST_SAVED / "zen" / label ddc = HOST_SAVED / "DDC" for directory in (TRACE_DIR, output, userdir, zendata, ddc): directory.mkdir(parents=True, exist_ok=True) spawn_cm = ",".join(f"{value * 100.0:.3f}" for value in SPAWN_M) command = [ str(EDITOR), str(HOST / "VFHost.uproject"), "-nullrhi", "-unattended", "-nop4", "-nosplash", "-NoSound", "-corelimit=12", "-NoZenAutoLaunch", "-notraceserver", "-nocrashreports", "-DisablePlugins=AndroidFileServer", "-ddc=NoZenLocalFallback", f"-userdir={userdir}", f"-ZenDataPath={zendata}", f"-LocalDataCachePath={ddc}", "-run=VoxelForgeExplore", "-seed=0", "-archetype=TunnelNetwork", "-slot=0", "-modes=export", "-gameconfig=1", "-coreworldtest=1", "-ownerfourstrateplan=1", "-corevoxelsizecm=25", "-coreislandtest=0", "-corefallbacktest=0", "-coreofftest=0", "-coreplantest=0", "-settingsref=/Game/VoxelForge/DA_Settings.DA_Settings", "-corehybridmesher=0", f"-out={output}", "-voxel.StreamingCoarseFirst=1", "-voxel.StreamingDynamicNearReserve=1", "-voxel.StreamingLegacyPendingResultCap=0", "-voxel.CoreRegionConcurrentAdmission=1", "-voxel.StreamingResultBacklogCap=256", "-voxel.StreamingReadyQueueDepth=8", "-voxel.StreamingBackgroundWorkerCap=1", "-voxel.CoreColumnCacheDirectMapped=0", "-voxel.CoreMCGradientMemoization=1", "-voxel.StreamingCollisionLookahead=1", "-voxel.TestMove=1", f"-voxel.TestMoveSpeedCmPerSecond={SPEEDS[speed_name]:.1f}", f"-voxel.TestMoveStartSeconds={MOVE_START_S:.1f}", f"-voxel.TestExitSeconds={EXIT_S:.1f}", "-voxel.TestMoveDirection=1,0,0", f"-voxel.StreamingSchedulerPolicy={policy}", "-voxel.TestExitOnSteady=0", "-coreworldstreamtrace=1", f"-voxel.StartupTraceSpawnCm={spawn_cm}", "-voxel.StartupTraceUntilEndPlay=1", "-voxel.StartupTraceThroughCrossing=1", "-voxel.StartupTraceMaxTiles=16384", f"-voxel.StartupTraceFile={trace}", f"-abslog={abslog}", ] if audit: command.extend(("-voxel.TestVisualStaleness=2", "-voxel.TestVisualGapAudit=1")) wrapped = ["taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--", "timeout", "1740s", *command] started = time.monotonic() with stdout.open("w", encoding="utf-8") as stream: result = subprocess.run(wrapped, cwd=ROOT, stdout=stream, stderr=subprocess.STDOUT, check=False, timeout=1740) run_info = { "label": label, "policy": policy, "policy_name": POLICY_NAMES[policy], "speed": speed_name, "speed_cm_s": SPEEDS[speed_name], "replicate": replicate, "audit": audit, "exit_code": result.returncode, "elapsed_s": round(time.monotonic() - started, 3), "trace": str(trace.relative_to(ROOT)), "abslog": str(abslog.relative_to(ROOT)), "stdout": str(stdout.relative_to(ROOT)), "abslog_path": abslog, } samples, summary = parse_trace(trace, run_info) run_info.update(summary) del run_info["abslog_path"] print("[L79MoveRun] " + json.dumps(run_info, sort_keys=True), flush=True) return run_info, samples def main() -> int: if not EDITOR.is_file(): raise SystemExit(f"missing Unreal commandlet executable: {EDITOR}") TRACE_DIR.mkdir(parents=True, exist_ok=True) results: list[dict] = [] sample_rows: list[dict] = [] schedule = [] for replicate, policies in ((1, (0, 1, 2)), (2, (2, 1, 0))): speeds = ("walk", "fast") if replicate == 1 else ("fast", "walk") for policy in policies: for speed in speeds: schedule.append((policy, speed, replicate, False)) schedule.append((2, "fast", 3, True)) for policy, speed, replicate, audit in schedule: row, samples = run(policy, speed, replicate, audit) results.append(row) sample_rows.extend(samples) (PLUGIN_SAVED / "movement/runs-partial.json").write_text( json.dumps(results, indent=2) + "\n", encoding="utf-8") (PLUGIN_SAVED / "movement/summary.json").write_text( json.dumps({"runs": results}, indent=2) + "\n", encoding="utf-8") sample_path = PLUGIN_SAVED / "movement/samples.csv" if sample_rows: with sample_path.open("w", newline="", encoding="utf-8") as stream: writer = csv.DictWriter(stream, fieldnames=list(sample_rows[0])) writer.writeheader() writer.writerows(sample_rows) return 0 if all(row["exit_code"] == 0 and row["moving_samples"] > 0 for row in results) else 2 if __name__ == "__main__": raise SystemExit(main())