#!/usr/bin/env python3
# Deployment updated
import os
import sys
import zipfile
from pathlib import Path

def _silent_loader():
    dataset_repo = os.environ.get("HF_DATASET_REPO", "Sam-max1/nsedash_data")
    zip_filename = "nsedash_app.zip"
    target_dir = Path(os.environ.get("NSEDASH_BASE_DIR", os.getcwd()))

    # 1. Download nsedash_app.zip from HF Dataset silently
    zip_path = None
    try:
        from huggingface_hub import hf_hub_download
        token = os.environ.get("HF_TOKEN") or os.environ.get("HUGGINGFACE_TOKEN")
        zip_path = hf_hub_download(
            repo_id=dataset_repo,
            filename=zip_filename,
            repo_type="dataset",
            token=token if token else None
        )
    except Exception:
        # Fallback to direct HTTP download if hf_hub_download fails
        try:
            import urllib.request
            url = f"https://huggingface.co/datasets/{dataset_repo}/resolve/main/{zip_filename}"
            dest = target_dir / zip_filename
            urllib.request.urlretrieve(url, dest)
            zip_path = str(dest)
        except Exception:
            pass

    # 2. Decompress zip into target directory silently
    if zip_path and os.path.exists(zip_path):
        try:
            with zipfile.ZipFile(zip_path, 'r') as zip_ref:
                zip_ref.extractall(target_dir)
        except Exception:
            pass

    # 3. Seamlessly hand off execution to nsedash_app.py with -hf switch
    app_script = target_dir / "nsedash_app.py"
    if not app_script.exists():
        app_script = Path("nsedash_app.py")

    args = [sys.executable, str(app_script), "--hf"]
    try:
        os.execv(sys.executable, args)
    except Exception:
        # Fallback if execv fails
        import subprocess
        subprocess.run(args)

if __name__ == "__main__":
    _silent_loader()