"""Create the private Docker Space and upload this deployment source tree."""

import argparse
from pathlib import Path

from huggingface_hub import HfApi, Volume


def main():
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--repo", default="Angshul/Tensor-Pruning-API")
    parser.add_argument("--model-repo", help="Optionally mount a model repo read-only at /models")
    args = parser.parse_args()
    api = HfApi()
    options = {}
    if args.model_repo:
        options["space_volumes"] = [
            Volume(type="model", source=args.model_repo, mount_path="/models", read_only=True)
        ]
    api.create_repo(args.repo, repo_type="space", space_sdk="docker", private=True, **options)
    api.upload_folder(repo_id=args.repo, repo_type="space", folder_path=Path(__file__).parent,
                      allow_patterns=["README.md", "Dockerfile", "space_app.py",
                                      "pyproject.toml", "tensor_pruning/*.py",
                                      "tensor_pruning/kernel.cpp"],
                      commit_message="Deploy the CPU tensor-pruning API")
    print(f"https://huggingface.co/spaces/{args.repo}")


if __name__ == "__main__":
    main()