| |
| """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() |
|
|
