#!/usr/bin/env python3
"""
repo_to_space_auto.py
---------------------
자동으로 Git 레포를 Hugging Face Gradio Space로 배포.
필요 환경변수:
  BAPI_TOKEN      : Brave Search API Key
  FRIENDLI_TOKEN  : Friendli Dedicated Endpoint Token
CLI 인자:
  --repo_url <URL>  : 원본 GitHub/GitLab 등 공개 레포 URL
  --hf_token <TOK>  : 쓰기 권한 Hugging Face Access Token
옵션:
  --private         : 비공개 Space 생성
  --hardware <tier> : 예) 't4-medium' GPU 인스턴스 지정
"""
import os, sys, json, argparse, subprocess, tempfile, textwrap, requests, shutil
from pathlib import Path
import git  # GitPython
from huggingface_hub import HfApi, login

# ---------- Brave Search 헬퍼 ---------- #
def brave_search_repo(repo_url: str, count: int = 5) -> list[dict]:
    api_key = os.getenv("BAPI_TOKEN")
    if not api_key:
        raise RuntimeError("환경변수 BAPI_TOKEN이 설정돼 있지 않습니다.")
    headers = {"X-Subscription-Token": api_key, "Accept": "application/json"}
    params  = {"q": f'site:github.com "{repo_url}"', "count": count, "search_lang": "en"}
    resp = requests.get(
        "https://api.search.brave.com/res/v1/web/search",
        headers=headers, params=params, timeout=10
    )
    resp.raise_for_status()
    return resp.json().get("web", {}).get("results", [])

# ---------- Friendli LLM 헬퍼 ---------- #
def friendli_generate_scaffold(context: str) -> dict:
    token = os.getenv("FRIENDLI_TOKEN")
    if not token:
        raise RuntimeError("환경변수 FRIENDLI_TOKEN이 설정돼 있지 않습니다.")
    payload = {
        "model": "dep89a2fld32mcm",
        "messages": [
            {
                "role": "system",
                "content": (
                    "You are an expert Hugging Face Space architect. "
                    "Given repository context, output JSON with keys "
                    "`app_py`, `requirements_txt`, `need_docker` (bool), "
                    "`dockerfile` (if needed) and `summary`."
                ),
            },
            {"role": "user", "content": context},
        ],
        "max_tokens": 16384,
        "top_p": 0.8,
        "stream": False,
    }
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
    }
    r = requests.post(
        "https://api.friendli.ai/dedicated/v1/chat/completions",
        json=payload, headers=headers, timeout=120
    )
    r.raise_for_status()
    return json.loads(r.json()["choices"][0]["message"]["content"])

# ---------- 메인 배포 로직 ---------- #
def deploy(repo_url: str, hf_token: str, private=False, hardware=None) -> str:
    """레포를 Gradio Space로 배포하고 Space URL 반환."""
    login(hf_token)
    api   = HfApi(token=hf_token)
    user  = api.whoami()["name"]
    space = f"{user}/{Path(repo_url).stem.lower().replace('.', '-')}"
    api.create_repo(
        repo_id=space,
        repo_type="space",
        space_sdk="gradio",
        private=private,
        exist_ok=True,
        hardware=hardware,
    )

    with tempfile.TemporaryDirectory() as work:
        # 1) Brave 메타데이터
        brave_meta = brave_search_repo(repo_url)

        # 2) 원본 레포 클론
        src = Path(work) / "src"
        git.Repo.clone_from(repo_url, src)

        readme = ""
        readme_path = src / "README.md"
        if readme_path.exists():
            readme = readme_path.read_text(encoding="utf-8", errors="ignore")[:4000]

        tree_out = subprocess.run(
            ["bash", "-lc", f"tree -L 2 {src} | head -n 40"],
            text=True, capture_output=True
        ).stdout

        context = textwrap.dedent(f"""
        ## Brave meta
        {json.dumps(brave_meta, ensure_ascii=False, indent=2)}

        ## Repository tree (depth 2)
        {tree_out}

        ## README (first 4 kB)
        {readme}
        """)

        # 3) Friendli 스캐폴드 생성
        scaffold = friendli_generate_scaffold(context)

        # 4) Space 레포 클론 & 파일 쓰기
        dst = Path(work) / "space"
        api.clone_repo(space, local_dir=dst)

        (dst / "app.py").write_text(scaffold["app_py"], encoding="utf-8")
        (dst / "requirements.txt").write_text(scaffold["requirements_txt"], encoding="utf-8")
        if scaffold.get("need_docker"):
            (dst / "Dockerfile").write_text(scaffold["dockerfile"], encoding="utf-8")
        (dst / "README.md").write_text(scaffold["summary"], encoding="utf-8")

        # 5) 커밋 & 푸시
        subprocess.run(["git", "-C", dst, "add", "."], check=True)
        subprocess.run(["git", "-C", dst, "commit", "-m", "Initial auto-deploy"], check=True)
        subprocess.run(["git", "-C", dst, "push"], check=True)

    return f"https://huggingface.co/spaces/{space}"

# ---------- CLI 엔트리 ---------- #
def main():
    p = argparse.ArgumentParser(description="Git 레포를 Hugging Face Gradio Space로 자동 배포")
    p.add_argument("--repo_url", required=True, help="원본 Git 레포지토리 URL")
    p.add_argument("--hf_token", required=True, help="쓰기 권한 Hugging Face 토큰")
    p.add_argument("--private", action="store_true", help="비공개 Space 생성")
    p.add_argument("--hardware", default=None, help="예: 't4-medium'")
    args = p.parse_args()

    try:
        url = deploy(args.repo_url, args.hf_token, args.private, args.hardware)
        print(f"✅  배포 성공: {url}")
    except Exception as e:
        print(f"❌  배포 실패: {e}", file=sys.stderr)
        sys.exit(1)

if __name__ == "__main__":
    main()