#!/usr/bin/env python3
"""Clean, sampler-free, interleaved cold-readiness comparison for L77/L79/L80."""
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/l80/timing"
DATA = ROOT / "Standalone/data/owner_world.json"
BINARY = ROOT / "Saved/Linux/l80/bin/VoxelForgeCoreHeadless-l80-clean-clang"
POLICIES = {0: "L77", 2: "L79", 3: "L80"}
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),
}
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, policy: int, phase: str, replicate: int) -> dict:
    OUT.mkdir(parents=True, exist_ok=True)
    label = f"s{strate}-{POLICIES[policy]}-{phase}{replicate}"
    log = OUT / f"{label}.log"
    camera = ",".join(f"{v:.12f}" for v in CAMERAS[strate]) + ",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}",
    ]
    start = time.monotonic()
    with log.open("w", encoding="utf-8") as output:
        result = subprocess.run(command, cwd=ROOT, stdout=output,
                                stderr=subprocess.STDOUT, check=False, timeout=1740)
    content = log.read_text(encoding="utf-8", errors="replace")
    pipeline_match = PIPELINE.search(content)
    near_match = NEAR.search(content)
    if result.returncode or pipeline_match is None or near_match is None:
        raise SystemExit(f"readiness run failed or trace missing: {log}; exit={result.returncode}")
    pipeline = dict(FIELDS.findall(pipeline_match.group(1)))
    row = {
        "strate": strate, "policy": POLICIES[policy], "policy_id": policy,
        "phase": phase, "replicate": replicate, "exit_code": result.returncode,
        "wall_s": round(time.monotonic() - start, 3),
        "lod02_ready_s": float(near_match.group(3)),
        "whole_view_ready_s": float(pipeline["whole_view_ready"].removesuffix("s")),
        "whole_tiles": int(pipeline["whole_tiles"].split("/")[0]),
        "log": str(log.relative_to(ROOT)),
    }
    print("[L80TimingRun] " + json.dumps(row, sort_keys=True), flush=True)
    return row


def main() -> int:
    if not DATA.is_file() or not BINARY.is_file():
        raise SystemExit(f"missing input: {DATA} or {BINARY}")
    rows = []
    # One unrecorded warm-up per stratum and policy. It warms binary/data pages only.
    for strate in range(4):
        for policy in (0, 2, 3):
            run(strate, policy, "warmup", 0)
    # Three interleaved triplets; rotate order to keep any drift from favoring one policy.
    orders = ((0, 2, 3), (3, 2, 0), (2, 0, 3))
    for strate in range(4):
        for replicate, order in enumerate(orders, 1):
            for policy in order:
                row = run(strate, policy, "measured", replicate)
                rows.append(row)
                (OUT / "runs-partial.json").write_text(
                    json.dumps(rows, indent=2) + "\n", encoding="utf-8")
    summary = []
    for strate in range(4):
        group = [row for row in rows if row["strate"] == strate]
        entry = {"strate": strate, "measured_pairs_per_policy": 3}
        for policy in ("L77", "L79", "L80"):
            subset = [row for row in group if row["policy"] == policy]
            entry[f"{policy}_lod02_s"] = [row["lod02_ready_s"] for row in subset]
            entry[f"{policy}_lod02_median_s"] = statistics.median(
                row["lod02_ready_s"] for row in subset)
            entry[f"{policy}_whole_s"] = [row["whole_view_ready_s"] for row in subset]
            entry[f"{policy}_whole_median_s"] = statistics.median(
                row["whole_view_ready_s"] for row in subset)
        summary.append(entry)
    (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())