"""Publish the self-contained free-CPU Space with a verified tracked pipeline bundle."""

import hashlib
import json
import subprocess
from pathlib import Path

from huggingface_hub import HfApi


def main():
    folder = Path(__file__).resolve().parent
    root = folder.parents[1]
    if subprocess.check_output(["git", "diff", "HEAD", "--", "src", "pyproject.toml"], cwd=root):
        raise RuntimeError("Commit or separately package tracked pipeline edits before publishing.")
    commit = subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=root, text=True).strip()
    archive = folder / "pipeline-source.tar.gz"
    subprocess.run(
        [
            "git",
            "archive",
            "--format=tar.gz",
            f"--output={archive}",
            "HEAD",
            "src",
            "pyproject.toml",
            "LICENSE",
        ],
        cwd=root,
        check=True,
    )
    (folder / "pipeline-version.json").write_text(
        json.dumps(
            {
                "git_commit": commit,
                "sha256": hashlib.sha256(archive.read_bytes()).hexdigest(),
                "preset": "abc_phases_schema_with_original_window_recovery",
                "preset_date": "2026-09-25",
            },
            indent=2,
        )
        + "\n"
    )
    api = HfApi()
    repo = "lerobot/annotation-studio"
    api.create_repo(repo, repo_type="space", space_sdk="docker", private=False, exist_ok=True)
    result = api.upload_folder(
        repo_id=repo,
        repo_type="space",
        folder_path=folder,
        ignore_patterns=[
            "__pycache__/**",
            ".pytest_cache/**",
            ".ruff_cache/**",
            "*.pyc",
            "frontend/node_modules/**",
            "frontend/dist/**",
        ],
        delete_patterns=["app.py"],
        commit_message="Always save annotations in standard LeRobot Parquet datasets",
    )
    print(f"https://huggingface.co/spaces/{repo}\nRevision: {result.oid}")


if __name__ == "__main__":
    main()