#!/usr/bin/env python3
"""Compact status for the isolated Codex SDK run1 sweep."""

from __future__ import annotations

import json
import os
from pathlib import Path

ROOT = Path(os.environ.get(
    "PTB_RESULTS_DIR",
    "/home/jiaruiliu/ptb-data/results_codex_sdk_gpt-5.6-sol_20261006",
))
SWEEP = ROOT / "codex_sdk_gpt-5.6-sol_10h_run1"
TASKS = ("aime2025", "arenahardwriting", "bfcl", "gpqamain", "gsm8k", "healthbench", "humaneval")
MODELS = (
    "google/gemma-3-4b-pt",
    "Qwen/Qwen3-4B-Base",
    "Qwen/Qwen3-1.7B-Base",
    "HuggingFaceTB/SmolLM3-3B-Base",
)


def tail(path: Path, size: int = 1_000_000) -> str:
    if not path.is_file():
        return ""
    with path.open("rb") as handle:
        handle.seek(max(0, path.stat().st_size - size))
        return handle.read().decode(errors="replace")


def classify(run: Path | None) -> tuple[str, str]:
    if run is None:
        return "missing", "-"
    metrics = run / "metrics.json"
    if metrics.is_file():
        try:
            data = json.loads(metrics.read_text())
            value = data.get("accuracy", data.get("score", "?"))
            return "complete", str(value)
        except (OSError, json.JSONDecodeError):
            return "bad-metrics", "-"
    if (run / "final_model").is_dir():
        return "evaluating", "-"
    trace = tail(run / "solve_out.txt")
    if '"type":"turn.failed"' in trace:
        return "agent-failed", "-"
    if '"type":"turn.completed"' in trace:
        return "agent-finished", "-"
    if '"type":"command_execution"' in trace:
        return "agent-active", "-"
    if '"type":"turn.started"' in trace:
        return "agent-starting", "-"
    return "starting", "-"


def main() -> None:
    counts: dict[str, int] = {}
    print(f"results: {ROOT}")
    print(f"{'TASK':20} {'MODEL':34} {'STATUS':16} SCORE")
    for model in MODELS:
        safe_model = model.replace("/", "_")
        for task in TASKS:
            runs = sorted(SWEEP.glob(f"{task}_{safe_model}_*"))
            run = runs[-1] if runs else None
            status, score = classify(run)
            counts[status] = counts.get(status, 0) + 1
            print(f"{task:20} {model:34} {status:16} {score}")
    print("summary:", " ".join(f"{key}={counts[key]}" for key in sorted(counts)))


if __name__ == "__main__":
    main()