scripts/publish_space.py

from __future__ import annotations

import argparse
import json
import os
import shutil
from pathlib import Path


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


def main() -> int:
    parser = argparse.ArgumentParser(description="publish the AirGPT Hub Docker Space")
    parser.add_argument("--repo-id", default="airgpt/airgpt-hub")
    parser.add_argument("--private", action="store_true")
    args = parser.parse_args()
    token = os.getenv("HF_TOKEN")
    if not token:
        parser.error("HF_TOKEN is required")

    try:
        from huggingface_hub import HfApi, hf_hub_download
    except ImportError as exc:
        raise SystemExit("install huggingface_hub before publishing") from exc

    api = HfApi(token=token)
    for filename in ("index.json", "community-models.json", "datasets.json"):
        catalog_path = hf_hub_download(
            repo_id="airgpt/embodied-model-index",
            repo_type="dataset",
            filename=filename,
            token=token,
        )
        json.loads(Path(catalog_path).read_text(encoding="utf-8"))
        shutil.copyfile(catalog_path, ROOT / "data" / filename)
    api.create_repo(
        repo_id=args.repo_id,
        repo_type="space",
        space_sdk="docker",
        private=args.private,
        exist_ok=True,
    )
    result = api.upload_folder(
        repo_id=args.repo_id,
        repo_type="space",
        folder_path=str(ROOT),
        commit_message="Publish AirGPT Hub H1.2",
        ignore_patterns=[
            ".git/**",
            ".pytest_cache/**",
            ".ruff_cache/**",
            "**/__pycache__/**",
            "**/*.pyc",
        ],
    )
    print(result)
    return 0


if __name__ == "__main__":
    raise SystemExit(main())