#!/usr/bin/env python3
"""Plan an upload; --upload explicitly publishes to an existing dataset repo."""
import argparse
import json
from pathlib import Path
import re

def main():
    p = argparse.ArgumentParser(description=__doc__)
    p.add_argument('--repo-id', required=True, help='Actual Hugging Face owner/dataset identifier')
    p.add_argument('--upload', action='store_true', help='Perform the upload; default is plan only')
    args = p.parse_args()
    if not re.fullmatch(r'[A-Za-z0-9][A-Za-z0-9_.-]*/[A-Za-z0-9][A-Za-z0-9_.-]*', args.repo_id):
        p.error('Use the actual owner/dataset repository ID.')
    root = Path(__file__).resolve().parents[1]
    manifest = json.loads((root / 'provenance/repository_files.json').read_text())
    print(json.dumps({'repo_id': args.repo_id, 'repo_type': 'dataset', 'folder': str(root),
                      'payload_files': manifest['total_files'], 'payload_bytes': manifest['total_bytes'],
                      'upload_requested': args.upload}, indent=2))
    if not args.upload:
        return
    from huggingface_hub import HfApi
    api = HfApi()
    api.repo_info(repo_id=args.repo_id, repo_type='dataset')
    api.upload_folder(repo_id=args.repo_id, repo_type='dataset', folder_path=str(root),
                      commit_message='Publish MolAS Active Learning AI4DD dataset and research artifacts')

if __name__ == '__main__':
    main()