"""Upload the merged 100k stores to the Hub dataset repo ericqu/OME.

Layout in the repo: fullC/{p1,p2,index.tsv,basis json,...} and occC/{...}. No README (by request).
upload_large_folder is resumable: re-running picks up where it stopped (state in .cache/ under the
folder). Run from an xfer-queue job (network access, no node-hour charge).

    python hf_upload.py --folder $PSCRATCH/hf_OME --repo ericqu/OME
"""
import argparse, time
from huggingface_hub import HfApi


def main():
    ap = argparse.ArgumentParser()
    ap.add_argument("--folder", required=True)
    ap.add_argument("--repo", default="ericqu/OME")
    ap.add_argument("--workers", type=int, default=16)
    args = ap.parse_args()
    api = HfApi()
    print("user:", api.whoami()["name"], flush=True)
    info = api.repo_info(args.repo, repo_type="dataset")
    print(f"repo {args.repo}: private={info.private} gated={info.gated}", flush=True)
    t0 = time.time()
    api.upload_large_folder(repo_id=args.repo, repo_type="dataset", folder_path=args.folder,
                            num_workers=args.workers, print_report=True, print_report_every=120,
                            ignore_patterns=["README.md", "*/README.md", ".cache/*", "*/.cache/*"])
    print(f"upload finished in {(time.time()-t0)/3600:.2f} h", flush=True)


if __name__ == "__main__":
    main()