#!/usr/bin/env python3
"""Generate a self-contained SForge task JSON with deterministic embedded source payloads."""
from __future__ import annotations

import base64
import io
import json
from pathlib import Path
import tarfile

ROOT = Path(__file__).resolve().parents[1]
REPO = ROOT / "task_repo"
OUTPUT = ROOT / "sforge" / "mitbih_interpatient_arrhythmia.json"


def payload(exclude_judge: bool) -> str:
    buffer = io.BytesIO()
    with tarfile.open(fileobj=buffer, mode="w:gz", format=tarfile.PAX_FORMAT) as archive:
        for path in sorted(REPO.rglob("*")):
            relative = path.relative_to(REPO)
            if any(part in {"__pycache__", ".pytest_cache"} for part in relative.parts):
                continue
            if exclude_judge and relative.parts and relative.parts[0] == "judge":
                continue
            if path.is_file():
                info = archive.gettarinfo(str(path), arcname=str(relative))
                info.uid = info.gid = 0
                info.uname = info.gname = "root"
                info.mtime = 0
                with path.open("rb") as handle:
                    archive.addfile(info, handle)
    return base64.b64encode(buffer.getvalue()).decode("ascii")


def unpack_command(encoded: str) -> str:
    return (
        "mkdir -p /home/workspace/mitbih_ecg && "
        "python -c \"import base64;open('/tmp/task.tgz','wb').write(base64.b64decode('"
        + encoded
        + "'))\" && tar -xzf /tmp/task.tgz -C /home/workspace/mitbih_ecg && rm /tmp/task.tgz"
    )


def main() -> int:
    work_payload = payload(exclude_judge=True)
    judge_payload = payload(exclude_judge=False)
    prompt = (
        "You are a senior biomedical signal-processing researcher. Read README.md and improve solution.py "
        "to maximize patient-independent arrhythmia classification performance on the hidden DS2 records. "
        "Use record-level validation, respect the CLI and runtime constraints, and do not use medical claims. "
        "Run the self-test and call sforge-submit whenever you have a meaningful improvement."
    )
    task = {
        "task_id": "mitbih_interpatient_arrhythmia",
        "name": "MIT-BIH Cross-Patient Arrhythmia Classification",
        "base_image": "python",
        "platform": "linux/amd64",
        "cwd": "/home/workspace/mitbih_ecg",
        "submit_paths": ["solution.py", "src/"],
        "submit_exclude": ["judge/", "scripts/", "data/", "__pycache__/", ".git/"],
        "internet": False,
        "game_mode": False,
        "work": {
            "setup_cmds": [
                unpack_command(work_payload),
                "cd /home/workspace/mitbih_ecg && pip install --no-cache-dir -r requirements.txt",
                "mkdir -p /data/public && cd /home/workspace/mitbih_ecg && python scripts/prepare_data.py --split train --out /data/public",
                "chmod -R a+rX /data/public /home/workspace/mitbih_ecg && rm -rf /home/workspace/mitbih_ecg/scripts",
                "cd /home/workspace/mitbih_ecg && git init && git config user.email 'sforge@local' && git config user.name 'sforge' && git add -A && git commit -m init"
            ],
            "specs_dir": "/home/workspace/mitbih_ecg",
            "agent_query": prompt,
            "cpu_limit": 8,
            "mem_limit": "16g"
        },
        "judge": {
            "setup_cmds": [
                unpack_command(judge_payload),
                "cd /home/workspace/mitbih_ecg && pip install --no-cache-dir -r requirements.txt",
                "mkdir -p /data/public /opt/judge /opt/judge_private && cd /home/workspace/mitbih_ecg && python scripts/prepare_data.py --split both --out /tmp/all_data",
                "mv /tmp/all_data/train.npz /tmp/all_data/test_features.npz /data/public/ && mv /tmp/all_data/test_labels.npz /tmp/all_data/provenance.json /opt/judge_private/",
                "mv /home/workspace/mitbih_ecg/judge/evaluate.py /opt/judge/evaluate.py && rm -rf /home/workspace/mitbih_ecg/judge /home/workspace/mitbih_ecg/scripts",
                "chmod -R a+rX /data/public /home/workspace/mitbih_ecg && chmod 700 /opt/judge /opt/judge/evaluate.py /opt/judge_private && chmod 600 /opt/judge_private/*"
            ],
            "eval_cmd": "python /opt/judge/evaluate.py --submission /home/workspace/mitbih_ecg --train /data/public/train.npz --test /data/public/test_features.npz --labels /opt/judge_private/test_labels.npz --timeout 600",
            "eval_timeout": 660,
            "parser": "structured_json",
            "score_direction": "maximize",
            "selection": "valid_then_score",
            "cpu_limit": 8,
            "mem_limit": "16g"
        }
    }
    OUTPUT.parent.mkdir(parents=True, exist_ok=True)
    OUTPUT.write_text(json.dumps(task, indent=2) + "\n", encoding="utf-8")
    print(OUTPUT)
    return 0


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