import os
from pathlib import Path
from typing import Dict, List, Literal, Optional, Union

from tqdm.auto import tqdm as base_tqdm
from tqdm.contrib.concurrent import thread_map

from .constants import (
    DEFAULT_REVISION,
    HF_HUB_ENABLE_HF_TRANSFER,
    HUGGINGFACE_HUB_CACHE,
    REPO_TYPES,
)
from .file_download import REGEX_COMMIT_HASH, hf_hub_download, repo_folder_name
from .hf_api import HfApi
from .utils import filter_repo_objects, logging, validate_hf_hub_args
from .utils import tqdm as hf_tqdm


logger = logging.get_logger(__name__)


@validate_hf_hub_args
def snapshot_download(
    repo_id: str,
    *,
    revision: Optional[str] = None,
    repo_type: Optional[str] = None,
    cache_dir: Union[str, Path, None] = None,
    local_dir: Union[str, Path, None] = None,
    local_dir_use_symlinks: Union[bool, Literal["auto"]] = "auto",
    library_name: Optional[str] = None,
    library_version: Optional[str] = None,
    user_agent: Optional[Union[Dict, str]] = None,
    proxies: Optional[Dict] = None,
    etag_timeout: float = 10,
    resume_download: bool = False,
    force_download: bool = False,
    token: Optional[Union[bool, str]] = None,
    local_files_only: bool = False,
    allow_patterns: Optional[Union[List[str], str]] = None,
    ignore_patterns: Optional[Union[List[str], str]] = None,
    max_workers: int = 8,
    tqdm_class: Optional[base_tqdm] = None,
) -> str:
    """Download repo files.

    Download a whole snapshot of a repo's files at the specified revision. This is useful when you want all files from
    a repo, because you don't know which ones you will need a priori. All files are nested inside a folder in order
    to keep their actual filename relative to that folder. You can also filter which files to download using
    `allow_patterns` and `ignore_patterns`.

    If `local_dir` is provided, the file structure from the repo will be replicated in this location. You can configure
    how you want to move those files:
      - If `local_dir_use_symlinks="auto"` (default), files are downloaded and stored in the cache directory as blob
        files. Small files (<5MB) are duplicated in `local_dir` while a symlink is created for bigger files. The goal
        is to be able to manually edit and save small files without corrupting the cache while saving disk space for
        binary files. The 5MB threshold can be configured with the `HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD`
        environment variable.
      - If `local_dir_use_symlinks=True`, files are downloaded, stored in the cache directory and symlinked in `local_dir`.
        This is optimal in term of disk usage but files must not be manually edited.
      - If `local_dir_use_symlinks=False` and the blob files exist in the cache directory, they are duplicated in the
        local dir. This means disk usage is not optimized.
      - Finally, if `local_dir_use_symlinks=False` and the blob files do not exist in the cache directory, then the
        files are downloaded and directly placed under `local_dir`. This means if you need to download them again later,
        they will be re-downloaded entirely.

    An alternative would be to clone the repo but this requires git and git-lfs to be installed and properly
    configured. It is also not possible to filter which files to download when cloning a repository using git.

    Args:
        repo_id (`str`):
            A user or an organization name and a repo name separated by a `/`.
        revision (`str`, *optional*):
            An optional Git revision id which can be a branch name, a tag, or a
            commit hash.
        repo_type (`str`, *optional*):
            Set to `"dataset"` or `"space"` if downloading from a dataset or space,
            `None` or `"model"` if downloading from a model. Default is `None`.
        cache_dir (`str`, `Path`, *optional*):
            Path to the folder where cached files are stored.
        local_dir (`str` or `Path`, *optional*:
            If provided, the downloaded files will be placed under this directory, either as symlinks (default) or
            regular files (see description for more details).
        local_dir_use_symlinks (`"auto"` or `bool`, defaults to `"auto"`):
            To be used with `local_dir`. If set to "auto", the cache directory will be used and the file will be either
            duplicated or symlinked to the local directory depending on its size. It set to `True`, a symlink will be
            created, no matter the file size. If set to `False`, the file will either be duplicated from cache (if
            already exists) or downloaded from the Hub and not cached. See description for more details.
        library_name (`str`, *optional*):
            The name of the library to which the object corresponds.
        library_version (`str`, *optional*):
            The version of the library.
        user_agent (`str`, `dict`, *optional*):
            The user-agent info in the form of a dictionary or a string.
        proxies (`dict`, *optional*):
            Dictionary mapping protocol to the URL of the proxy passed to
            `requests.request`.
        etag_timeout (`float`, *optional*, defaults to `10`):
            When fetching ETag, how many seconds to wait for the server to send
            data before giving up which is passed to `requests.request`.
        resume_download (`bool`, *optional*, defaults to `False):
            If `True`, resume a previously interrupted download.
        force_download (`bool`, *optional*, defaults to `False`):
            Whether the file should be downloaded even if it already exists in the local cache.
        token (`str`, `bool`, *optional*):
            A token to be used for the download.
                - If `True`, the token is read from the HuggingFace config
                  folder.
                - If a string, it's used as the authentication token.
        local_files_only (`bool`, *optional*, defaults to `False`):
            If `True`, avoid downloading the file and return the path to the
            local cached file if it exists.
        allow_patterns (`List[str]` or `str`, *optional*):
            If provided, only files matching at least one pattern are downloaded.
        ignore_patterns (`List[str]` or `str`, *optional*):
            If provided, files matching any of the patterns are not downloaded.
        max_workers (`int`, *optional*):
            Number of concurrent threads to download files (1 thread = 1 file download).
            Defaults to 8.
        tqdm_class (`tqdm`, *optional*):
            If provided, overwrites the default behavior for the progress bar. Passed
            argument must inherit from `tqdm.auto.tqdm` or at least mimic its behavior.
            Note that the `tqdm_class` is not passed to each individual download.
            Defaults to the custom HF progress bar that can be disabled by setting
            `HF_HUB_DISABLE_PROGRESS_BARS` environment variable.

    Returns:
        Local folder path (string) of repo snapshot

    <Tip>

    Raises the following errors:

    - [`EnvironmentError`](https://docs.python.org/3/library/exceptions.html#EnvironmentError)
      if `token=True` and the token cannot be found.
    - [`OSError`](https://docs.python.org/3/library/exceptions.html#OSError) if
      ETag cannot be determined.
    - [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError)
      if some parameter value is invalid

    </Tip>
    """
    if cache_dir is None:
        cache_dir = HUGGINGFACE_HUB_CACHE
    if revision is None:
        revision = DEFAULT_REVISION
    if isinstance(cache_dir, Path):
        cache_dir = str(cache_dir)

    if repo_type is None:
        repo_type = "model"
    if repo_type not in REPO_TYPES:
        raise ValueError(f"Invalid repo type: {repo_type}. Accepted repo types are: {str(REPO_TYPES)}")

    storage_folder = os.path.join(cache_dir, repo_folder_name(repo_id=repo_id, repo_type=repo_type))

    # if we have no internet connection we will look for an
    # appropriate folder in the cache
    # If the specified revision is a commit hash, look inside "snapshots".
    # If the specified revision is a branch or tag, look inside "refs".
    if local_files_only:
        if REGEX_COMMIT_HASH.match(revision):
            commit_hash = revision
        else:
            # retrieve commit_hash from file
            ref_path = os.path.join(storage_folder, "refs", revision)
            with open(ref_path) as f:
                commit_hash = f.read()

        snapshot_folder = os.path.join(storage_folder, "snapshots", commit_hash)

        if os.path.exists(snapshot_folder):
            return snapshot_folder

        raise ValueError(
            "Cannot find an appropriate cached snapshot folder for the specified"
            " revision on the local disk and outgoing traffic has been disabled. To"
            " enable repo look-ups and downloads online, set 'local_files_only' to"
            " False."
        )

    # if we have internet connection we retrieve the correct folder name from the huggingface api
    api = HfApi(library_name=library_name, library_version=library_version, user_agent=user_agent)
    repo_info = api.repo_info(repo_id=repo_id, repo_type=repo_type, revision=revision, token=token)
    assert repo_info.sha is not None, "Repo info returned from server must have a revision sha."

    filtered_repo_files = list(
        filter_repo_objects(
            items=[f.rfilename for f in repo_info.siblings],
            allow_patterns=allow_patterns,
            ignore_patterns=ignore_patterns,
        )
    )
    commit_hash = repo_info.sha
    snapshot_folder = os.path.join(storage_folder, "snapshots", commit_hash)
    # if passed revision is not identical to commit_hash
    # then revision has to be a branch name or tag name.
    # In that case store a ref.
    if revision != commit_hash:
        ref_path = os.path.join(storage_folder, "refs", revision)
        os.makedirs(os.path.dirname(ref_path), exist_ok=True)
        with open(ref_path, "w") as f:
            f.write(commit_hash)

    # we pass the commit_hash to hf_hub_download
    # so no network call happens if we already
    # have the file locally.
    def _inner_hf_hub_download(repo_file: str):
        return hf_hub_download(
            repo_id,
            filename=repo_file,
            repo_type=repo_type,
            revision=commit_hash,
            cache_dir=cache_dir,
            local_dir=local_dir,
            local_dir_use_symlinks=local_dir_use_symlinks,
            library_name=library_name,
            library_version=library_version,
            user_agent=user_agent,
            proxies=proxies,
            etag_timeout=etag_timeout,
            resume_download=resume_download,
            force_download=force_download,
            token=token,
        )

    if HF_HUB_ENABLE_HF_TRANSFER:
        # when using hf_transfer we don't want extra parallelism
        # from the one hf_transfer provides
        for file in filtered_repo_files:
            _inner_hf_hub_download(file)
    else:
        thread_map(
            _inner_hf_hub_download,
            filtered_repo_files,
            desc=f"Fetching {len(filtered_repo_files)} files",
            max_workers=max_workers,
            # User can use its own tqdm class or the default one from `huggingface_hub.utils`
            tqdm_class=tqdm_class or hf_tqdm,
        )

    if local_dir is not None:
        return str(os.path.realpath(local_dir))
    return snapshot_folder
