# Authors: The MNE-Python contributors.
# License: BSD-3-Clause
# Copyright the MNE-Python contributors.

import os
import time

import numpy as np

from ...utils import verbose
from ..utils import _log_time_size
from ._utils import TEMAZEPAM_SLEEP_RECORDS, _check_subjects, _data_path, _fetch_one

data_path = _data_path  # expose _data_path(..) as data_path(..)

BASE_URL = "https://physionet.org/physiobank/database/sleep-edfx/sleep-telemetry/"  # noqa: E501


@verbose
def fetch_data(
    subjects, path=None, force_update=False, base_url=BASE_URL, *, verbose=None
):
    """Get paths to local copies of PhysioNet Polysomnography dataset files.

    This will fetch data from the publicly available subjects from PhysioNet's
    study of Temazepam effects on sleep :footcite:`KempEtAl2000`. This
    corresponds to a set of 22 subjects. Subjects had mild difficulty falling
    asleep but were otherwise healthy.

    See more details in the `physionet website
    <https://physionet.org/physiobank/database/sleep-edfx/>`_
    :footcite:`GoldbergerEtAl2000`.

    Parameters
    ----------
    subjects : list of int
        The subjects to use. Can be in the range of 0-21 (inclusive).
    path : None | str
        Location of where to look for the PhysioNet data storing location.
        If None, the environment variable or config parameter
        ``PHYSIONET_SLEEP_PATH`` is used. If it doesn't exist, the "~/mne_data"
        directory is used. If the Polysomnography dataset is not found under
        the given path, the data will be automatically downloaded to the
        specified folder.
    force_update : bool
        Force update of the dataset even if a local copy exists.
    base_url : str
        The base URL to download from.
    %(verbose)s

    Returns
    -------
    paths : list
        List of local data paths of the given type.

    See Also
    --------
    mne.datasets.sleep_physionet.age.fetch_data

    Notes
    -----
    For example, one could do:

        >>> from mne.datasets import sleep_physionet
        >>> sleep_physionet.temazepam.fetch_data(subjects=[1]) # doctest: +SKIP

    This would download data for subject 0 if it isn't there already.

    References
    ----------
    .. footbibliography::
    """
    t0 = time.time()
    records = np.loadtxt(
        TEMAZEPAM_SLEEP_RECORDS,
        skiprows=1,
        delimiter=",",
        usecols=(0, 3, 6, 7, 8, 9),
        dtype={
            "names": (
                "subject",
                "record",
                "hyp sha",
                "psg sha",
                "hyp fname",
                "psg fname",
            ),
            "formats": ("<i2", "<S15", "S40", "S40", "<S22", "<S16"),
        },
    )

    _check_subjects(subjects, 22)

    path = data_path(path=path)
    params = [path, force_update, base_url]

    fnames = []
    sz = 0
    for subject in subjects:  # all the subjects are present at this point
        for idx in np.where(records["subject"] == subject)[0]:
            if records["record"][idx] == b"Placebo":
                psg_fname, pdl = _fetch_one(
                    records["psg fname"][idx].decode(),
                    records["psg sha"][idx].decode(),
                    *params,
                )
                hyp_fname, hdl = _fetch_one(
                    records["hyp fname"][idx].decode(),
                    records["hyp sha"][idx].decode(),
                    *params,
                )
                fnames.append([psg_fname, hyp_fname])
                if pdl:
                    sz += os.path.getsize(psg_fname)
                if hdl:
                    sz += os.path.getsize(hyp_fname)
    if sz > 0:
        _log_time_size(t0, sz)
    return fnames