#!/usr/bin/env python3
"""Create/update a Hugging Face dataset repository from this directory."""

from __future__ import annotations

import argparse
import re
import subprocess
import sys
from pathlib import Path


ROOT = Path(__file__).resolve().parents[1]


def public_release_ready() -> list[str]:
    problems: list[str] = []
    readme_path = ROOT / "README.md"
    readme = readme_path.read_text(encoding="utf-8") if readme_path.exists() else ""
    yaml_match = re.match(r"^---\s*\n(.*?)\n---", readme, flags=re.DOTALL)
    yaml_text = yaml_match.group(1) if yaml_match else ""
    if not re.search(r"^license:\s*\S+", yaml_text, flags=re.MULTILINE):
        problems.append("README.md YAML has no license field")
    if not (ROOT / "LICENSE").is_file():
        problems.append("LICENSE file is missing")
    pending_markers = ["License pending", "Citation pending"]
    for marker in pending_markers:
        if marker.lower() in readme.lower():
            problems.append(f"README.md still contains: {marker}")
    return problems


def main() -> int:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--repo-id", required=True, help="Hugging Face repo ID, for example org/name.")
    parser.add_argument(
        "--public",
        action="store_true",
        help="Create/update a public repo. Default is private.",
    )
    parser.add_argument(
        "--skip-validation",
        action="store_true",
        help="Skip the local structural validator.",
    )
    args = parser.parse_args()

    if not args.skip_validation:
        result = subprocess.run([sys.executable, str(ROOT / "scripts" / "validate_dataset.py")])
        if result.returncode != 0:
            return result.returncode

    if args.public:
        problems = public_release_ready()
        if problems:
            print("Public upload blocked:", file=sys.stderr)
            for problem in problems:
                print(f"- {problem}", file=sys.stderr)
            return 2

    try:
        from huggingface_hub import HfApi
    except ImportError:
        print("Install the client first: pip install -U huggingface_hub", file=sys.stderr)
        return 3

    api = HfApi()
    api.create_repo(
        repo_id=args.repo_id,
        repo_type="dataset",
        private=not args.public,
        exist_ok=True,
    )
    api.upload_folder(
        folder_path=str(ROOT),
        repo_id=args.repo_id,
        repo_type="dataset",
        ignore_patterns=[".git/*", "**/__pycache__/*", "*.pyc"],
        commit_message="Upload MVOT dataset v1.0.0",
    )
    visibility = "public" if args.public else "private"
    print(f"Uploaded {ROOT} to https://huggingface.co/datasets/{args.repo_id} ({visibility})")
    return 0


if __name__ == "__main__":
    sys.exit(main())