VoxelForge/Standalone/Research/WorldAssemblerM3/Linux86/RunL86Ceiling.py

#!/usr/bin/env python3
"""Measure the passage-disabled best-case ceiling using the L80 interleaved protocol."""
from __future__ import annotations

import json
import re
import statistics
import subprocess
import time
from pathlib import Path

ROOT = Path(__file__).resolve().parents[4]
OUT = ROOT / "Saved/Linux/l86/ceiling"
DATA = ROOT / "Standalone/data/owner_world.json"
BINARY = ROOT / "Saved/Linux/l86/bin/VoxelForgeCoreHeadless-clang19"
WORKERS = (8, 12)
CAMERAS = {
    0: (8.0, 16.0, -372.2626953125),
    1: (25.8369140625, 3.19921875, -737.0),
    2: (19.166015625, -14.2001953125, -753.3740234375),
    3: (-20.0625, -5.068359375, -900.353515625),
}
EXPECTED_NEAR = {0: 1408, 1: 1216, 2: 1344, 3: 1344}
EXPECTED_WHOLE = {0: 2850, 1: 2249, 2: 2233, 3: 2329}
PIPELINE = re.compile(r"^\[StreamPipeline\] (.*)$", re.M)
FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
NEAR = re.compile(
    r"^\[WorldAssemblerNearLODReady\] lods=0-2 tiles=(\d+)/(\d+) cold_ready_s=([0-9.]+)$",
    re.M,
)


def run(strate: int, workers: int, phase: str, replicate: int) -> dict:
    OUT.mkdir(parents=True, exist_ok=True)
    label = f"s{strate}-w{workers}-{phase}{replicate}"
    log = OUT / f"{label}.log"
    camera = ",".join(f"{value:.12f}" for value in CAMERAS[strate]) + ",0,0"
    command = [
        "taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
        "env", "VOXELFORGE_L81_PASSAGE_BOUND_PADDING_VOXELS=0",
        "VOXELFORGE_L86_DISABLE_PASSAGE_COMPOSITION=1", "timeout", "1740s",
        str(BINARY), str(DATA), "--world-assembler-prototype", "--stream-benchmark",
        "--stream-pipeline", f"--workers={workers}", "--clip-radius=3",
        "--max-clip-level=8", "--max-level=8", f"--camera={camera}",
        "--profile-lod-work", "--stream-scheduler-policy=3",
    ]
    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)
    output = log.read_text(encoding="utf-8", errors="replace")
    pipeline_match, near_match = PIPELINE.search(output), NEAR.search(output)
    if result.returncode or pipeline_match is None or near_match is None:
        raise RuntimeError(f"ceiling run failed: exit={result.returncode} {log}")
    near_done, near_total = int(near_match.group(1)), int(near_match.group(2))
    if (near_done, near_total) != (EXPECTED_NEAR[strate], EXPECTED_NEAR[strate]):
        raise RuntimeError(f"incomplete near set in {log}: {near_done}/{near_total}")
    fields = dict(FIELDS.findall(pipeline_match.group(1)))
    whole_done, whole_total = (int(value) for value in fields["whole_tiles"].split("/"))
    if (whole_done, whole_total) != (EXPECTED_WHOLE[strate], EXPECTED_WHOLE[strate]):
        raise RuntimeError(f"incomplete whole set in {log}: {whole_done}/{whole_total}")
    row = {
        "strate": strate, "workers": workers, "phase": phase, "replicate": replicate,
        "exit_code": result.returncode, "wall_s": round(time.monotonic() - started, 3),
        "lod02_ready_s": float(near_match.group(3)),
        "whole_view_ready_s": float(fields["whole_view_ready"].removesuffix("s")),
        "shape_s": float(fields["shape"].removesuffix("s")),
        "far_shape_s": float(fields["far_shape"].removesuffix("s")),
        "first_tile_ready_s": float(fields["first_tile_ready"].removesuffix("s")),
        "neighborhood_ready_s": float(fields["neighborhood_ready"].removesuffix("s")),
        "full_detail_ready_s": float(fields["full_detail_ready"].removesuffix("s")),
        "near_tiles": near_total, "whole_tiles": whole_total,
        "log": str(log.relative_to(ROOT)),
    }
    print("[L86CeilingRun] " + json.dumps(row, sort_keys=True), flush=True)
    return row


def main() -> int:
    if not BINARY.is_file() or not DATA.is_file():
        raise SystemExit(f"missing input: {BINARY} or {DATA}")
    rows = []
    for strate in range(4):
        for workers in WORKERS:
            run(strate, workers, "warmup", 0)
        for replicate, order in enumerate(((8, 12), (12, 8), (8, 12)), 1):
            for workers in order:
                rows.append(run(strate, workers, "measured", replicate))
                (OUT / "runs-partial.json").write_text(
                    json.dumps(rows, indent=2) + "\n", encoding="utf-8")
    summary = []
    for strate in range(4):
        for workers in WORKERS:
            subset = [row for row in rows
                      if row["strate"] == strate and row["workers"] == workers]
            item = {"strate": strate, "workers": workers, "measured_runs": len(subset)}
            for metric in (
                "lod02_ready_s", "whole_view_ready_s", "shape_s", "far_shape_s",
                "first_tile_ready_s", "neighborhood_ready_s", "full_detail_ready_s",
            ):
                values = [row[metric] for row in subset]
                item[metric] = values
                item[f"{metric}_median"] = statistics.median(values)
                item[f"{metric}_min"] = min(values)
                item[f"{metric}_max"] = max(values)
            summary.append(item)
    (OUT / "summary.json").write_text(
        json.dumps({"runs": rows, "summary": summary}, indent=2) + "\n",
        encoding="utf-8",
    )
    return 0


if __name__ == "__main__":
    raise SystemExit(main())