"""Implements the :stac-ext:`Datacube Extension <datacube>`."""

from __future__ import annotations

from abc import ABC
from typing import Any, Generic, Literal, TypeVar, Union, cast

import pystac
from pystac.extensions import item_assets
from pystac.extensions.base import ExtensionManagementMixin, PropertiesExtension
from pystac.extensions.hooks import ExtensionHooks
from pystac.utils import StringEnum, get_required, map_opt

T = TypeVar(
    "T", pystac.Collection, pystac.Item, pystac.Asset, item_assets.AssetDefinition
)

SCHEMA_URI = "https://stac-extensions.github.io/datacube/v2.2.0/schema.json"

PREFIX: str = "cube:"
DIMENSIONS_PROP = PREFIX + "dimensions"
VARIABLES_PROP = PREFIX + "variables"

# Dimension properties
DIM_TYPE_PROP = "type"
DIM_DESC_PROP = "description"
DIM_AXIS_PROP = "axis"
DIM_EXTENT_PROP = "extent"
DIM_VALUES_PROP = "values"
DIM_STEP_PROP = "step"
DIM_REF_SYS_PROP = "reference_system"
DIM_UNIT_PROP = "unit"

# Variable properties
VAR_TYPE_PROP = "type"
VAR_DESC_PROP = "description"
VAR_EXTENT_PROP = "extent"
VAR_VALUES_PROP = "values"
VAR_DIMENSIONS_PROP = "dimensions"
VAR_UNIT_PROP = "unit"


class DimensionType(StringEnum):
    """Dimension object types for spatial and temporal Dimension Objects."""

    SPATIAL = "spatial"
    GEOMETRIES = "geometries"
    TEMPORAL = "temporal"


class HorizontalSpatialDimensionAxis(StringEnum):
    """Allowed values for ``axis`` field of :class:`HorizontalSpatialDimension`
    object."""

    X = "x"
    Y = "y"


class VerticalSpatialDimensionAxis(StringEnum):
    """Allowed values for ``axis`` field of :class:`VerticalSpatialDimension`
    object."""

    Z = "z"


class Dimension(ABC):
    """Object representing a dimension of the datacube. The fields contained in
    Dimension Object vary by ``type``. See the :stac-ext:`Datacube Dimension Object
    <datacube#dimension-object>` docs for details.
    """

    properties: dict[str, Any]

    def __init__(self, properties: dict[str, Any]) -> None:
        self.properties = properties

    @property
    def dim_type(self) -> DimensionType | str:
        """The type of the dimension. Must be ``"spatial"`` for
        :stac-ext:`Horizontal Spatial Dimension Objects
        <datacube#horizontal-raster-spatial-dimension-object>` or
        :stac-ext:`Vertical Spatial Dimension Objects
        <datacube#vertical-spatial-dimension-object>`, ``geometries`` for
        :stac-ext:`Spatial Vector Dimension Objects
        <datacube#spatial-vector-dimension-object>` ``"temporal"`` for
        :stac-ext:`Temporal Dimension Objects
        <datacube#temporal-dimension-object>`. May be an arbitrary string for
        :stac-ext:`Additional Dimension Objects
        <datacube#additional-dimension-object>`."""
        return get_required(
            self.properties.get(DIM_TYPE_PROP), "cube:dimension", DIM_TYPE_PROP
        )

    @dim_type.setter
    def dim_type(self, v: DimensionType | str) -> None:
        self.properties[DIM_TYPE_PROP] = v

    @property
    def description(self) -> str | None:
        """Detailed multi-line description to explain the dimension. `CommonMark 0.29
        <http://commonmark.org/>`__ syntax MAY be used for rich text representation."""
        return self.properties.get(DIM_DESC_PROP)

    @description.setter
    def description(self, v: str | None) -> None:
        if v is None:
            self.properties.pop(DIM_DESC_PROP, None)
        else:
            self.properties[DIM_DESC_PROP] = v

    def to_dict(self) -> dict[str, Any]:
        return self.properties

    @staticmethod
    def from_dict(d: dict[str, Any]) -> Dimension:
        dim_type: str = get_required(
            d.get(DIM_TYPE_PROP), "cube_dimension", DIM_TYPE_PROP
        )
        if dim_type == DimensionType.SPATIAL:
            axis: str = get_required(
                d.get(DIM_AXIS_PROP), "cube_dimension", DIM_AXIS_PROP
            )
            if axis == "z":
                return VerticalSpatialDimension(d)
            else:
                return HorizontalSpatialDimension(d)
        elif dim_type == DimensionType.GEOMETRIES:
            return VectorSpatialDimension(d)
        elif dim_type == DimensionType.TEMPORAL:
            # The v1.0.0 spec says that AdditionalDimensions can have
            # type 'temporal', but it is unclear how to differentiate that
            # from a temporal dimension. Just key off of type for now.
            # See https://github.com/stac-extensions/datacube/issues/5
            return TemporalDimension(d)
        else:
            return AdditionalDimension(d)


class SpatialDimension(Dimension):
    @property
    def extent(self) -> list[float]:
        """Extent (lower and upper bounds) of the dimension as two-dimensional array.
        Open intervals with ``None`` are not allowed."""
        return get_required(
            self.properties.get(DIM_EXTENT_PROP), "cube:dimension", DIM_EXTENT_PROP
        )

    @extent.setter
    def extent(self, v: list[float]) -> None:
        self.properties[DIM_EXTENT_PROP] = v

    @property
    def values(self) -> list[float] | None:
        """Optional set of all potential values."""
        return self.properties.get(DIM_VALUES_PROP)

    @values.setter
    def values(self, v: list[float] | None) -> None:
        if v is None:
            self.properties.pop(DIM_VALUES_PROP, None)
        else:
            self.properties[DIM_VALUES_PROP] = v

    @property
    def step(self) -> float | None:
        """The space between the values. Use ``None`` for irregularly spaced steps."""
        return self.properties.get(DIM_STEP_PROP)

    @step.setter
    def step(self, v: float | None) -> None:
        self.properties[DIM_STEP_PROP] = v

    def clear_step(self) -> None:
        """Setting step to None sets it to the null value,
        which means irregularly spaced steps. Use clear_step
        to remove it from the properties."""
        self.properties.pop(DIM_STEP_PROP, None)

    @property
    def reference_system(self) -> str | float | dict[str, Any] | None:
        """The spatial reference system for the data, specified as `numerical EPSG code
        <http://www.epsg-registry.org/>`__, `WKT2 (ISO 19162) string
        <http://docs.opengeospatial.org/is/18-010r7/18-010r7.html>`__ or `PROJJSON
        object <https://proj.org/specifications/projjson.html>`__.
        Defaults to EPSG code 4326."""
        return self.properties.get(DIM_REF_SYS_PROP)

    @reference_system.setter
    def reference_system(self, v: str | float | dict[str, Any] | None) -> None:
        if v is None:
            self.properties.pop(DIM_REF_SYS_PROP, None)
        else:
            self.properties[DIM_REF_SYS_PROP] = v


class HorizontalSpatialDimension(SpatialDimension):
    @property
    def axis(self) -> HorizontalSpatialDimensionAxis:
        """Axis of the spatial dimension. Must be one of ``"x"`` or ``"y"``."""
        return get_required(
            self.properties.get(DIM_AXIS_PROP), "cube:dimension", DIM_AXIS_PROP
        )

    @axis.setter
    def axis(self, v: HorizontalSpatialDimensionAxis) -> None:
        self.properties[DIM_AXIS_PROP] = v


class VerticalSpatialDimension(SpatialDimension):
    @property
    def axis(self) -> VerticalSpatialDimensionAxis:
        """Axis of the spatial dimension. Must be ``"z"``."""
        return get_required(
            self.properties.get(DIM_AXIS_PROP), "cube:dimension", DIM_AXIS_PROP
        )

    @axis.setter
    def axis(self, v: VerticalSpatialDimensionAxis) -> None:
        self.properties[DIM_AXIS_PROP] = v

    @property
    def unit(self) -> str | None:
        """The unit of measurement for the data, preferably compliant to `UDUNITS-2
        <https://ncics.org/portfolio/other-resources/udunits2/>`__ units (singular)."""
        return self.properties.get(DIM_UNIT_PROP)

    @unit.setter
    def unit(self, v: str | None) -> None:
        if v is None:
            self.properties.pop(DIM_UNIT_PROP, None)
        else:
            self.properties[DIM_UNIT_PROP] = v


class VectorSpatialDimension(Dimension):
    @property
    def axes(self) -> list[str] | None:
        """Axes of the vector dimension as an ordered set of `x`, `y` and `z`."""
        return self.properties.get("axes")

    @axes.setter
    def axes(self, v: list[str]) -> None:
        if v is None:
            self.properties.pop("axes", None)
        else:
            self.properties["axes"] = v

    @property
    def bbox(self) -> list[float]:
        """A single bounding box of the geometries as defined for STAC
        Collections but not nested."""
        return get_required(self.properties.get("bbox"), "cube:bbox", "bbox")

    @bbox.setter
    def bbox(self, v: list[float]) -> None:
        self.properties["bbox"] = v

    @property
    def values(self) -> list[str] | None:
        """Optionally, a representation of the geometries. This could be a list
        of WKT strings or other identifiers."""
        return self.properties.get(DIM_VALUES_PROP)

    @values.setter
    def values(self, v: list[str] | None) -> None:
        if v is None:
            self.properties.pop(DIM_VALUES_PROP, None)
        else:
            self.properties[DIM_VALUES_PROP] = v

    @property
    def geometry_types(self) -> list[str] | None:
        """A set of geometry types. If not present, mixed geometry types must be
        assumed."""
        return self.properties.get("geometry_types")

    @geometry_types.setter
    def geometry_types(self, v: list[str] | None) -> None:
        if v is None:
            self.properties.pop("geometry_types", None)
        else:
            self.properties["geometry_types"] = v

    @property
    def reference_system(self) -> str | float | dict[str, Any] | None:
        """The reference system for the data."""
        return self.properties.get(DIM_REF_SYS_PROP)

    @reference_system.setter
    def reference_system(self, v: str | float | dict[str, Any] | None) -> None:
        if v is None:
            self.properties.pop(DIM_REF_SYS_PROP, None)
        else:
            self.properties[DIM_REF_SYS_PROP] = v


class TemporalDimension(Dimension):
    @property
    def extent(self) -> list[str | None] | None:
        """Extent (lower and upper bounds) of the dimension as two-dimensional array.
        The dates and/or times must be strings compliant to `ISO 8601
        <https://en.wikipedia.org/wiki/ISO_8601>`__. ``None`` is allowed for open date
        ranges."""
        return self.properties.get(DIM_EXTENT_PROP)

    @extent.setter
    def extent(self, v: list[str | None] | None) -> None:
        if v is None:
            self.properties.pop(DIM_EXTENT_PROP, None)
        else:
            self.properties[DIM_EXTENT_PROP] = v

    @property
    def values(self) -> list[str] | None:
        """If the dimension consists of set of specific values they can be listed here.
        The dates and/or times must be strings compliant to `ISO 8601
        <https://en.wikipedia.org/wiki/ISO_8601>`__."""
        return self.properties.get(DIM_VALUES_PROP)

    @values.setter
    def values(self, v: list[str] | None) -> None:
        if v is None:
            self.properties.pop(DIM_VALUES_PROP, None)
        else:
            self.properties[DIM_VALUES_PROP] = v

    @property
    def step(self) -> str | None:
        """The space between the temporal instances as `ISO 8601 duration
        <https://en.wikipedia.org/wiki/ISO_8601#Durations>`__, e.g. P1D. Use null for
        irregularly spaced steps."""
        return self.properties.get(DIM_STEP_PROP)

    @step.setter
    def step(self, v: str | None) -> None:
        self.properties[DIM_STEP_PROP] = v

    def clear_step(self) -> None:
        """Setting step to None sets it to the null value,
        which means irregularly spaced steps. Use clear_step
        to remove it from the properties."""
        self.properties.pop(DIM_STEP_PROP, None)


class AdditionalDimension(Dimension):
    @property
    def extent(self) -> list[float | None] | None:
        """If the dimension consists of `ordinal
        <https://en.wikipedia.org/wiki/Level_of_measurement#Ordinal_scale>`__ values,
        the extent (lower and upper bounds) of the values as two-dimensional array. Use
        null for open intervals."""
        return self.properties.get(DIM_EXTENT_PROP)

    @extent.setter
    def extent(self, v: list[float | None] | None) -> None:
        if v is None:
            self.properties.pop(DIM_EXTENT_PROP, None)
        else:
            self.properties[DIM_EXTENT_PROP] = v

    @property
    def values(self) -> list[str] | list[float] | None:
        """A set of all potential values, especially useful for `nominal
        <https://en.wikipedia.org/wiki/Level_of_measurement#Nominal_level>`__ values."""
        return self.properties.get(DIM_VALUES_PROP)

    @values.setter
    def values(self, v: list[str] | list[float] | None) -> None:
        if v is None:
            self.properties.pop(DIM_VALUES_PROP, None)
        else:
            self.properties[DIM_VALUES_PROP] = v

    @property
    def step(self) -> float | None:
        """If the dimension consists of `interval
        <https://en.wikipedia.org/wiki/Level_of_measurement#Interval_scale>`__ values,
        the space between the values. Use null for irregularly spaced steps."""
        return self.properties.get(DIM_STEP_PROP)

    @step.setter
    def step(self, v: float | None) -> None:
        self.properties[DIM_STEP_PROP] = v

    def clear_step(self) -> None:
        """Setting step to None sets it to the null value,
        which means irregularly spaced steps. Use clear_step
        to remove it from the properties."""
        self.properties.pop(DIM_STEP_PROP, None)

    @property
    def unit(self) -> str | None:
        """The unit of measurement for the data, preferably compliant to `UDUNITS-2
        units <https://ncics.org/portfolio/other-resources/udunits2/>`__ (singular)."""
        return self.properties.get(DIM_UNIT_PROP)

    @unit.setter
    def unit(self, v: str | None) -> None:
        if v is None:
            self.properties.pop(DIM_UNIT_PROP, None)
        else:
            self.properties[DIM_UNIT_PROP] = v

    @property
    def reference_system(self) -> str | float | dict[str, Any] | None:
        """The reference system for the data."""
        return self.properties.get(DIM_REF_SYS_PROP)

    @reference_system.setter
    def reference_system(self, v: str | float | dict[str, Any] | None) -> None:
        if v is None:
            self.properties.pop(DIM_REF_SYS_PROP, None)
        else:
            self.properties[DIM_REF_SYS_PROP] = v


class VariableType(StringEnum):
    """Variable object types"""

    DATA = "data"
    AUXILIARY = "auxiliary"


class Variable:
    """Object representing a variable in the datacube. The dimensions field lists
    zero or more :stac-ext:`Datacube Dimension Object <datacube#dimension-object>`
    instances. See the :stac-ext:`Datacube Variable Object
    <datacube#variable-object>` docs for details.
    """

    properties: dict[str, Any]

    def __init__(self, properties: dict[str, Any]) -> None:
        self.properties = properties

    @property
    def dimensions(self) -> list[str]:
        """The dimensions of the variable. Should refer to keys in the
        ``cube:dimensions`` object or be an empty list if the variable has no
        dimensions
        """
        return get_required(
            self.properties.get(VAR_DIMENSIONS_PROP),
            "cube:variable",
            VAR_DIMENSIONS_PROP,
        )

    @dimensions.setter
    def dimensions(self, v: list[str]) -> None:
        self.properties[VAR_DIMENSIONS_PROP] = v

    @property
    def var_type(self) -> VariableType | str:
        """Type of the variable, either ``data`` or ``auxiliary``"""
        return get_required(
            self.properties.get(VAR_TYPE_PROP), "cube:variable", VAR_TYPE_PROP
        )

    @var_type.setter
    def var_type(self, v: VariableType | str) -> None:
        self.properties[VAR_TYPE_PROP] = v

    @property
    def description(self) -> str | None:
        """Detailed multi-line description to explain the variable. `CommonMark 0.29
        <http://commonmark.org/>`__ syntax MAY be used for rich text representation."""
        return self.properties.get(VAR_DESC_PROP)

    @description.setter
    def description(self, v: str | None) -> None:
        if v is None:
            self.properties.pop(VAR_DESC_PROP, None)
        else:
            self.properties[VAR_DESC_PROP] = v

    @property
    def extent(self) -> list[float | str | None]:
        """If the variable consists of `ordinal values
        <https://en.wikipedia.org/wiki/Level_of_measurement#Ordinal_scale>`, the extent
        (lower and upper bounds) of the values as two-dimensional array. Use ``None``
        for open intervals"""
        return get_required(
            self.properties.get(VAR_EXTENT_PROP), "cube:variable", VAR_EXTENT_PROP
        )

    @extent.setter
    def extent(self, v: list[float | str | None]) -> None:
        self.properties[VAR_EXTENT_PROP] = v

    @property
    def values(self) -> list[float | str] | None:
        """A set of all potential values, especially useful for `nominal values
        <https://en.wikipedia.org/wiki/Level_of_measurement#Nominal_level>`."""
        return self.properties.get(VAR_VALUES_PROP)

    @values.setter
    def values(self, v: list[float | str] | None) -> None:
        if v is None:
            self.properties.pop(VAR_VALUES_PROP)
        else:
            self.properties[VAR_VALUES_PROP] = v

    @property
    def unit(self) -> str | None:
        """The unit of measurement for the data, preferably compliant to `UDUNITS-2
        <https://ncics.org/portfolio/other-resources/udunits2/>` units (singular)"""
        return self.properties.get(VAR_UNIT_PROP)

    @unit.setter
    def unit(self, v: str | None) -> None:
        if v is None:
            self.properties.pop(VAR_UNIT_PROP)
        else:
            self.properties[VAR_UNIT_PROP] = v

    @staticmethod
    def from_dict(d: dict[str, Any]) -> Variable:
        return Variable(d)

    def to_dict(self) -> dict[str, Any]:
        return self.properties


class DatacubeExtension(
    Generic[T],
    PropertiesExtension,
    ExtensionManagementMixin[Union[pystac.Collection, pystac.Item]],
):
    """An abstract class that can be used to extend the properties of a
    :class:`~pystac.Collection`, :class:`~pystac.Item`, or :class:`~pystac.Asset` with
    properties from the :stac-ext:`Datacube Extension <datacube>`. This class is
    generic over the type of STAC Object to be extended (e.g. :class:`~pystac.Item`,
    :class:`~pystac.Asset`).

    To create a concrete instance of :class:`DatacubeExtension`, use the
    :meth:`DatacubeExtension.ext` method. For example:

    .. code-block:: python

       >>> item: pystac.Item = ...
       >>> dc_ext = DatacubeExtension.ext(item)
    """

    name: Literal["cube"] = "cube"

    def apply(
        self,
        dimensions: dict[str, Dimension],
        variables: dict[str, Variable] | None = None,
    ) -> None:
        """Applies Datacube Extension properties to the extended
        :class:`~pystac.Collection`, :class:`~pystac.Item` or :class:`~pystac.Asset`.

        Args:
            dimensions : Dictionary mapping dimension name to :class:`Dimension`
                objects.
            variables : Dictionary mapping variable name to a :class:`Variable`
                object.
        """
        self.dimensions = dimensions
        self.variables = variables

    @property
    def dimensions(self) -> dict[str, Dimension]:
        """A dictionary where each key is the name of a dimension and each
        value is a :class:`~Dimension` object.
        """
        result = get_required(
            self._get_property(DIMENSIONS_PROP, dict[str, Any]), self, DIMENSIONS_PROP
        )
        return {k: Dimension.from_dict(v) for k, v in result.items()}

    @dimensions.setter
    def dimensions(self, v: dict[str, Dimension]) -> None:
        self._set_property(DIMENSIONS_PROP, {k: dim.to_dict() for k, dim in v.items()})

    @property
    def variables(self) -> dict[str, Variable] | None:
        """A dictionary where each key is the name of a variable and each
        value is a :class:`~Variable` object.
        """
        result = self._get_property(VARIABLES_PROP, dict[str, Any])

        if result is None:
            return None
        return {k: Variable.from_dict(v) for k, v in result.items()}

    @variables.setter
    def variables(self, v: dict[str, Variable] | None) -> None:
        self._set_property(
            VARIABLES_PROP,
            map_opt(
                lambda variables: {k: var.to_dict() for k, var in variables.items()}, v
            ),
        )

    @classmethod
    def get_schema_uri(cls) -> str:
        return SCHEMA_URI

    @classmethod
    def ext(cls, obj: T, add_if_missing: bool = False) -> DatacubeExtension[T]:
        """Extends the given STAC Object with properties from the :stac-ext:`Datacube
        Extension <datacube>`.

        This extension can be applied to instances of :class:`~pystac.Collection`,
        :class:`~pystac.Item` or :class:`~pystac.Asset`.

        Raises:

            pystac.ExtensionTypeError : If an invalid object type is passed.
        """
        if isinstance(obj, pystac.Collection):
            cls.ensure_has_extension(obj, add_if_missing)
            return cast(DatacubeExtension[T], CollectionDatacubeExtension(obj))
        if isinstance(obj, pystac.Item):
            cls.ensure_has_extension(obj, add_if_missing)
            return cast(DatacubeExtension[T], ItemDatacubeExtension(obj))
        elif isinstance(obj, pystac.Asset):
            cls.ensure_owner_has_extension(obj, add_if_missing)
            return cast(DatacubeExtension[T], AssetDatacubeExtension(obj))
        elif isinstance(obj, item_assets.AssetDefinition):
            cls.ensure_owner_has_extension(obj, add_if_missing)
            return cast(DatacubeExtension[T], ItemAssetsDatacubeExtension(obj))
        else:
            raise pystac.ExtensionTypeError(cls._ext_error_message(obj))


class CollectionDatacubeExtension(DatacubeExtension[pystac.Collection]):
    """A concrete implementation of :class:`DatacubeExtension` on an
    :class:`~pystac.Collection` that extends the properties of the Item to include
    properties defined in the :stac-ext:`Datacube Extension <datacube>`.

    This class should generally not be instantiated directly. Instead, call
    :meth:`DatacubeExtension.ext` on an :class:`~pystac.Collection` to extend it.
    """

    collection: pystac.Collection
    properties: dict[str, Any]

    def __init__(self, collection: pystac.Collection):
        self.collection = collection
        self.properties = collection.extra_fields

    def __repr__(self) -> str:
        return f"<CollectionDatacubeExtension Item id={self.collection.id}>"


class ItemDatacubeExtension(DatacubeExtension[pystac.Item]):
    """A concrete implementation of :class:`DatacubeExtension` on an
    :class:`~pystac.Item` that extends the properties of the Item to include properties
    defined in the :stac-ext:`Datacube Extension <datacube>`.

    This class should generally not be instantiated directly. Instead, call
    :meth:`DatacubeExtension.ext` on an :class:`~pystac.Item` to extend it.
    """

    item: pystac.Item
    properties: dict[str, Any]

    def __init__(self, item: pystac.Item):
        self.item = item
        self.properties = item.properties

    def __repr__(self) -> str:
        return f"<ItemDatacubeExtension Item id={self.item.id}>"


class AssetDatacubeExtension(DatacubeExtension[pystac.Asset]):
    """A concrete implementation of :class:`DatacubeExtension` on an
    :class:`~pystac.Asset` that extends the Asset fields to include properties defined
    in the :stac-ext:`Datacube Extension <datacube>`.

    This class should generally not be instantiated directly. Instead, call
    :meth:`EOExtension.ext` on an :class:`~pystac.Asset` to extend it.
    """

    asset_href: str
    properties: dict[str, Any]
    additional_read_properties: list[dict[str, Any]] | None

    def __init__(self, asset: pystac.Asset):
        self.asset_href = asset.href
        self.properties = asset.extra_fields
        if asset.owner and isinstance(asset.owner, pystac.Item):
            self.additional_read_properties = [asset.owner.properties]
        else:
            self.additional_read_properties = None

    def __repr__(self) -> str:
        return f"<AssetDatacubeExtension Item id={self.asset_href}>"


class ItemAssetsDatacubeExtension(DatacubeExtension[item_assets.AssetDefinition]):
    properties: dict[str, Any]
    asset_defn: item_assets.AssetDefinition

    def __init__(self, item_asset: item_assets.AssetDefinition):
        self.asset_defn = item_asset
        self.properties = item_asset.properties


class DatacubeExtensionHooks(ExtensionHooks):
    schema_uri: str = SCHEMA_URI
    prev_extension_ids = {
        "datacube",
        "https://stac-extensions.github.io/datacube/v1.0.0/schema.json",
        "https://stac-extensions.github.io/datacube/v2.0.0/schema.json",
        "https://stac-extensions.github.io/datacube/v2.1.0/schema.json",
    }
    stac_object_types = {
        pystac.STACObjectType.COLLECTION,
        pystac.STACObjectType.ITEM,
    }


DATACUBE_EXTENSION_HOOKS: ExtensionHooks = DatacubeExtensionHooks()
