from __future__ import annotations

from dask.array import core


def _tiledb_to_chunks(tiledb_array):
    schema = tiledb_array.schema
    return list(schema.domain.dim(i).tile for i in range(schema.ndim))


def from_tiledb(uri, attribute=None, chunks=None, storage_options=None, **kwargs):
    """Load array from the TileDB storage format

    See https://docs.tiledb.io for more information about TileDB.

    Parameters
    ----------
    uri: TileDB array or str
        Location to save the data
    attribute: str or None
        Attribute selection (single-attribute view on multi-attribute array)


    Returns
    -------

    A Dask Array

    Examples
    --------

    >>> import tempfile, tiledb
    >>> import dask.array as da, numpy as np
    >>> uri = tempfile.NamedTemporaryFile().name
    >>> _ = tiledb.from_numpy(uri, np.arange(0,9).reshape(3,3))  # create a tiledb array
    >>> tdb_ar = da.from_tiledb(uri)  # read back the array
    >>> tdb_ar.shape
    (3, 3)
    >>> tdb_ar.mean().compute()
    4.0
    """
    import tiledb

    tiledb_config = storage_options or dict()
    key = tiledb_config.pop("key", None)

    if isinstance(uri, tiledb.Array):
        tdb = uri
    else:
        tdb = tiledb.open(uri, attr=attribute, config=tiledb_config, key=key)

    if tdb.schema.sparse:
        raise ValueError("Sparse TileDB arrays are not supported")

    if not attribute:
        if tdb.schema.nattr > 1:
            raise TypeError(
                "keyword 'attribute' must be provided"
                "when loading a multi-attribute TileDB array"
            )
        else:
            attribute = tdb.schema.attr(0).name

    if tdb.iswritable:
        raise ValueError("TileDB array must be open for reading")

    chunks = chunks or _tiledb_to_chunks(tdb)

    assert len(chunks) == tdb.schema.ndim

    return core.from_array(tdb, chunks, name="tiledb-%s" % uri)


def to_tiledb(
    darray,
    uri,
    compute=True,
    return_stored=False,
    storage_options=None,
    key=None,
    **kwargs,
):
    """Save array to the TileDB storage format

    Save 'array' using the TileDB storage manager, to any TileDB-supported URI,
    including local disk, S3, or HDFS.

    See https://docs.tiledb.io for more information about TileDB.

    Parameters
    ----------

    darray: dask.array
        A dask array to write.
    uri:
        Any supported TileDB storage location.
    storage_options: dict
        Dict containing any configuration options for the TileDB backend.
        see https://docs.tiledb.io/en/stable/tutorials/config.html
    compute, return_stored: see ``store()``
    key: str or None
        Encryption key

    Returns
    -------

    None
        Unless ``return_stored`` is set to ``True`` (``False`` by default)

    Notes
    -----

    TileDB only supports regularly-chunked arrays.
    TileDB `tile extents`_ correspond to form 2 of the dask
    `chunk specification`_, and the conversion is
    done automatically for supported arrays.

    Examples
    --------

    >>> import dask.array as da, tempfile
    >>> uri = tempfile.NamedTemporaryFile().name
    >>> data = da.random.random(5,5)
    >>> da.to_tiledb(data, uri)
    >>> import tiledb
    >>> tdb_ar = tiledb.open(uri)
    >>> all(tdb_ar == data)
    True

    .. _chunk specification: https://docs.tiledb.io/en/stable/tutorials/tiling-dense.html
    .. _tile extents: http://docs.dask.org/en/latest/array-chunks.html
    """
    import tiledb

    tiledb_config = storage_options or dict()
    # encryption key, if any
    key = key or tiledb_config.pop("key", None)

    if not core._check_regular_chunks(darray.chunks):
        raise ValueError(
            "Attempt to save array to TileDB with irregular "
            "chunking, please call `arr.rechunk(...)` first."
        )

    if isinstance(uri, str):
        chunks = [c[0] for c in darray.chunks]
        # create a suitable, empty, writable TileDB array
        tdb = tiledb.empty_like(
            uri, darray, tile=chunks, config=tiledb_config, key=key, **kwargs
        )
    elif isinstance(uri, tiledb.Array):
        tdb = uri
        # sanity checks
        if not ((darray.dtype == tdb.dtype) and (darray.ndim == tdb.ndim)):
            raise ValueError(
                "Target TileDB array layout is not compatible with source array"
            )
    else:
        raise ValueError(
            "'uri' must be string pointing to supported TileDB store location "
            "or an open, writable TileDB array."
        )

    if not (tdb.isopen and tdb.iswritable):
        raise ValueError("Target TileDB array is not open and writable.")

    return darray.store(tdb, lock=False, compute=compute, return_stored=return_stored)