"""
Download scGPT whole-human pretrained model.
Run on login node: python scripts/download_scgpt.py
"""

import os
import sys


def download_scgpt_model(output_dir: str = "transfer/data/scGPT_pretrained"):
    """Download scGPT whole-human model files."""
    os.makedirs(output_dir, exist_ok=True)

    required_files = ["best_model.pt", "vocab.json", "args.json"]
    missing = [f for f in required_files if not os.path.exists(os.path.join(output_dir, f))]

    if not missing:
        print(f"All scGPT pretrained files already exist in {output_dir}")
        return

    print(f"Missing files: {missing}")
    print(f"Please download the scGPT whole-human pretrained model to: {output_dir}")
    print()
    print("Option 1: From the scGPT release (if available):")
    print("  Download from: https://github.com/bowang-lab/scGPT/releases")
    print(f"  Place files in: {output_dir}/")
    print()
    print("Option 2: Manual setup:")
    print("  Required files:")
    for f in required_files:
        print(f"    - {f}")
    print()
    print("  args.json example content:")
    print('  {"embsize": 512, "nheads": 8, "d_hid": 512, "nlayers": 12,')
    print('   "n_layers_cls": 3, "dropout": 0.2, "pad_token": "<pad>",')
    print('   "pad_value": 0, "mask_value": -1}')


if __name__ == "__main__":
    # Default path relative to repo root
    repo_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
    default_dir = os.path.join(repo_root, "data", "scGPT_pretrained")

    import argparse
    parser = argparse.ArgumentParser()
    parser.add_argument("--output_dir", default=default_dir)
    args = parser.parse_args()

    download_scgpt_model(args.output_dir)