# BSD 3-Clause License; see https://github.com/scikit-hep/awkward/blob/main/LICENSE

from __future__ import annotations

import awkward as ak
from awkward._dispatch import high_level_function
from awkward._layout import HighLevelContext
from awkward._nplikes.numpy_like import NumpyMetadata

__all__ = ("from_arrow",)

np = NumpyMetadata.instance()


@high_level_function()
def from_arrow(
    array, *, generate_bitmasks=False, highlevel=True, behavior=None, attrs=None
):
    """
    Args:
        array (`pyarrow.Array`, `pyarrow.ChunkedArray`, `pyarrow.RecordBatch`, or `pyarrow.Table`):
            Apache Arrow array to convert into an  Awkward Array.
        generate_bitmasks (bool): If enabled and Arrow/Parquet does not have Awkward
            metadata, `generate_bitmasks=True` creates empty bitmasks for nullable
            types that don't have bitmasks in the Arrow/Parquet data, so that the
            Form (BitMaskedForm vs UnmaskedForm) is predictable.
        highlevel (bool): If True, return an #ak.Array; otherwise, return
            a low-level #ak.contents.Content subclass.
        behavior (None or dict): Custom #ak.behavior for the output array, if
            high-level.
        attrs (None or dict): Custom attributes for the output array, if
            high-level.

    Converts an Apache Arrow array into an Awkward Array.

    This function always preserves the values of a dataset; i.e. the Python objects
    returned by #ak.to_list are identical to the Python objects returned by Arrow's
    `to_pylist` method. If #ak.to_arrow was invoked with `extensionarray=True`, this
    function also preserves the data type (high-level #ak.types.Type, though not the
    low-level #ak.forms.Form), even through Parquet, making Parquet a good way to save
    Awkward Arrays for later use.

    Because awkward uses numpy's dtype system, timestamp types do not have timezones.
    If encountering timestamp types with timezones in the input arrow data, they
    will be silently dropped.

    See also #ak.to_arrow, #ak.to_arrow_table, #ak.from_parquet, #ak.from_arrow_schema.
    """
    return _impl(array, generate_bitmasks, highlevel, behavior, attrs)


def _impl(array, generate_bitmasks, highlevel, behavior, attrs):
    import awkward._connect.pyarrow

    pyarrow = awkward._connect.pyarrow.pyarrow

    ctx = HighLevelContext(behavior=behavior, attrs=attrs).finalize()

    out = awkward._connect.pyarrow.handle_arrow(
        array, generate_bitmasks=generate_bitmasks, pass_empty_field=True
    )

    if isinstance(array, (pyarrow.lib.Array, pyarrow.lib.ChunkedArray)):
        (
            awkwardarrow_type,
            storage_type,
        ) = awkward._connect.pyarrow.to_awkwardarrow_storage_types(array.type)

        if awkwardarrow_type is None:
            if isinstance(out, ak.contents.UnmaskedArray):
                out = awkward._connect.pyarrow.remove_optiontype(out)
        else:
            if awkwardarrow_type.mask_type in (None, "IndexedArray"):
                out = awkward._connect.pyarrow.remove_optiontype(out)

            if awkwardarrow_type.record_is_scalar:
                out = out._getitem_at(0)

    def remove_revertable(layout, **kwargs):
        if hasattr(layout, "__pyarrow_original"):
            del layout.__pyarrow_original

    ak._do.recursively_apply(out, remove_revertable)

    return ctx.wrap(out, highlevel=highlevel)
