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# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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import os
from typing import List

from huggingface_hub import snapshot_download


def download_models(models: List[str], destination_root: str):
    """
    Download models from Hugging Face Hub and save them in org/project structure.

    Args:
        models: List of model IDs in format 'org/project'
        destination_root: Root directory where models will be saved
    """
    for model_id in models:
        model_id, revision = model_id.split(":") if ":" in model_id else (model_id, None)
        print(f"Downloading {model_id}...")

        # Create the full path for the model
        model_path = os.path.join(destination_root, model_id)

        try:
            # Download the model
            snapshot_download(
                repo_id=model_id,
                local_dir=model_path,
                revision=revision,
            )
            print(f"Successfully downloaded {model_id} to {model_path}")

        except Exception as e:
            raise RuntimeError(f"Error downloading {model_id}: {str(e)}. Please delete the directory and try again.")


def download_guardrail_checkpoints(destination_root: str):
    """
    Download guardrail checkpoints from Hugging Face Hub and save them in org/project structure.

    Args:
        destination_root: Root directory where checkpoints will be saved
    """
    # List of models to download
    models_to_download = [
        "meta-llama/Llama-Guard-3-8B",
        "nvidia/Cosmos-Guardrail1",
    ]

    # Create the destination directory if it doesn't exist
    os.makedirs(destination_root, exist_ok=True)

    # Download the models
    download_models(models_to_download, destination_root)


if __name__ == "__main__":
    download_guardrail_checkpoints("checkpoints")