import hashlib
import logging
from os import PathLike
from pathlib import Path
from typing import Union

import torch


_LG = logging.getLogger(__name__)


def _get_local_path(key):
    path = Path(torch.hub.get_dir()) / "torchaudio" / Path(key)
    path.parent.mkdir(parents=True, exist_ok=True)
    return path


def _download(key, path, progress):
    url = f"https://download.pytorch.org/torchaudio/{key}"
    torch.hub.download_url_to_file(url, path, progress=progress)


def _get_hash(path, hash, chunk_size=1028):
    m = hashlib.sha256()
    with open(path, "rb") as file:
        data = file.read(chunk_size)
        while data:
            m.update(data)
            data = file.read(chunk_size)
    return m.hexdigest()


def download_asset(
    key: str,
    hash: str = "",
    path: Union[str, PathLike] = "",
    *,
    progress: bool = True,
) -> str:
    """Download and store torchaudio assets to local file system.

    If a file exists at the download path, then that path is returned with or without
    hash validation.

    Args:
        key (str): The asset identifier.
        hash (str, optional):
            The value of SHA256 hash of the asset. If provided, it is used to verify
            the downloaded / cached object. If not provided, then no hash validation
            is performed. This means if a file exists at the download path, then the path
            is returned as-is without verifying the identity of the file.
        path (path-like object, optional):
            By default, the downloaded asset is saved in a directory under
            :py:func:`torch.hub.get_dir` and intermediate directories based on the given `key`
            are created.
            This argument can be used to overwrite the target location.
            When this argument is provided, all the intermediate directories have to be
            created beforehand.
        progress (bool): Whether to show progress bar for downloading. Default: ``True``.

    Note:
        Currently the valid key values are the route on ``download.pytorch.org/torchaudio``,
        but this is an implementation detail.

    Returns:
        str: The path to the asset on the local file system.
    """
    path = path or _get_local_path(key)

    if path.exists():
        _LG.info("The local file (%s) exists. Skipping the download.", path)
    else:
        _LG.info("Downloading %s to %s", key, path)
        _download(key, path, progress=progress)

    if hash:
        _LG.info("Verifying the hash value.")
        digest = _get_hash(path, hash)

        if digest != hash:
            raise ValueError(
                f"The hash value of the downloaded file ({path}), '{digest}' does not match "
                f"the provided hash value, '{hash}'."
            )

        _LG.info("Hash validated.")

    return str(path)