"""Support for simplified access to data on nodes of type omni.graph.tutorials.CudaCpuArrays

This is a tutorial node. It illustrates the alternative method of extracting pointers to GPU array data in which the pointer
returned is a CPU pointer and can be dereferenced on the CPU side. Without the cudaPointers value set that pointer would
be a GPU pointer to an array of GPU pointers and could only be dereferenced on the device.
"""

import carb
import numpy

import omni.graph.core as og
import omni.graph.core._omni_graph_core as _og
import omni.graph.tools.ogn as ogn



class OgnTutorialCudaDataCpuDatabase(og.Database):
    """Helper class providing simplified access to data on nodes of type omni.graph.tutorials.CudaCpuArrays

    Class Members:
        node: Node being evaluated

    Attribute Value Properties:
        Inputs:
            inputs.multiplier
            inputs.points
        Outputs:
            outputs.points
    """

    # Imprint the generator and target ABI versions in the file for JIT generation
    GENERATOR_VERSION = (1, 41, 3)
    TARGET_VERSION = (2, 139, 12)

    # This is an internal object that provides per-class storage of a per-node data dictionary
    PER_NODE_DATA = {}

    # This is an internal object that describes unchanging attributes in a generic way
    # The values in this list are in no particular order, as a per-attribute tuple
    #     Name, Type, ExtendedTypeIndex, UiName, Description, Metadata,
    #     Is_Required, DefaultValue, Is_Deprecated, DeprecationMsg
    # You should not need to access any of this data directly, use the defined database interfaces
    INTERFACE = og.Database._get_interface([
        ('inputs:multiplier', 'float3', 0, None, 'Amplitude of the expansion for the input points', {ogn.MetadataKeys.DEFAULT: '[1.0, 1.0, 1.0]'}, True, [1.0, 1.0, 1.0], False, ''),
        ('inputs:points', 'float3[]', 0, None, 'Array of points to be moved', {ogn.MetadataKeys.MEMORY_TYPE: 'any', ogn.MetadataKeys.DEFAULT: '[]'}, True, [], False, ''),
        ('outputs:points', 'float3[]', 0, None, 'Final positions of points', {}, True, None, False, ''),
    ])

    class ValuesForInputs(og.DynamicAttributeAccess):
        LOCAL_PROPERTY_NAMES = { }
        """Helper class that creates natural hierarchical access to input attributes"""
        def __init__(self, node: og.Node, attributes, dynamic_attributes: og.DynamicAttributeInterface):
            """Initialize simplified access for the attribute data"""
            context = node.get_graph().get_default_graph_context()
            super().__init__(context, node, attributes, dynamic_attributes)
            self._batchedReadAttributes = []
            self._batchedReadValues = []

        @property
        def multiplier(self):
            data_view = og.AttributeValueHelper(self._attributes.multiplier)
            data_view.gpu_ptr_kind = og.PtrToPtrKind.CPU
            return data_view.get(on_gpu=True)

        @multiplier.setter
        def multiplier(self, value):
            if self._setting_locked:
                raise og.ReadOnlyError(self._attributes.multiplier)
            data_view = og.AttributeValueHelper(self._attributes.multiplier)
            data_view.gpu_ptr_kind = og.PtrToPtrKind.CPU
            data_view.set(value, on_gpu=True)

        class __points:
            def __init__(self, parent):
                self._parent = parent

            @property
            def cpu(self):
                data_view = og.AttributeValueHelper(self._parent._attributes.points)
                return data_view.get()

            @cpu.setter
            def cpu(self, value):
                if self._parent._setting_locked:
                    raise og.ReadOnlyError(self._parent._attributes.cpu)
                data_view = og.AttributeValueHelper(self._parent._attributes.cpu)
                data_view.set(value)
                self._parent.cpu_size = data_view.get_array_size()

            @property
            def gpu(self):
                data_view = og.AttributeValueHelper(self._parent._attributes.points)
                data_view.gpu_ptr_kind = og.PtrToPtrKind.CPU
                return data_view.get(on_gpu=True)

            @gpu.setter
            def gpu(self, value):
                if self._parent._setting_locked:
                    raise og.ReadOnlyError(self._parent._attributes.gpu)
                data_view = og.AttributeValueHelper(self._parent._attributes.gpu)
                data_view.set(value)
                self._parent.gpu_size = data_view.get_array_size()

        @property
        def points(self):
            return self.__class__.__points(self)

        def _prefetch(self):
            readAttributes = self._batchedReadAttributes
            newValues = _og._prefetch_input_attributes_data(readAttributes)
            if len(readAttributes) == len(newValues):
                self._batchedReadValues = newValues

    class ValuesForOutputs(og.DynamicAttributeAccess):
        LOCAL_PROPERTY_NAMES = { }
        """Helper class that creates natural hierarchical access to output attributes"""
        def __init__(self, node: og.Node, attributes, dynamic_attributes: og.DynamicAttributeInterface):
            """Initialize simplified access for the attribute data"""
            context = node.get_graph().get_default_graph_context()
            super().__init__(context, node, attributes, dynamic_attributes)
            self.points_size = None
            self._batchedWriteValues = { }

        @property
        def points(self):
            data_view = og.AttributeValueHelper(self._attributes.points)
            data_view.gpu_ptr_kind = og.PtrToPtrKind.CPU
            return data_view.get(reserved_element_count=self.points_size, on_gpu=True)

        @points.setter
        def points(self, value):
            data_view = og.AttributeValueHelper(self._attributes.points)
            data_view.gpu_ptr_kind = og.PtrToPtrKind.CPU
            data_view.set(value, on_gpu=True)
            self.points_size = data_view.get_array_size()

        def _commit(self):
            _og._commit_output_attributes_data(self._batchedWriteValues)
            self._batchedWriteValues = { }

    class ValuesForState(og.DynamicAttributeAccess):
        """Helper class that creates natural hierarchical access to state attributes"""
        def __init__(self, node: og.Node, attributes, dynamic_attributes: og.DynamicAttributeInterface):
            """Initialize simplified access for the attribute data"""
            context = node.get_graph().get_default_graph_context()
            super().__init__(context, node, attributes, dynamic_attributes)

    def __init__(self, node):
        super().__init__(node)
        dynamic_attributes = self.dynamic_attribute_data(node, og.AttributePortType.ATTRIBUTE_PORT_TYPE_INPUT)
        self.inputs = OgnTutorialCudaDataCpuDatabase.ValuesForInputs(node, self.attributes.inputs, dynamic_attributes)
        dynamic_attributes = self.dynamic_attribute_data(node, og.AttributePortType.ATTRIBUTE_PORT_TYPE_OUTPUT)
        self.outputs = OgnTutorialCudaDataCpuDatabase.ValuesForOutputs(node, self.attributes.outputs, dynamic_attributes)
        dynamic_attributes = self.dynamic_attribute_data(node, og.AttributePortType.ATTRIBUTE_PORT_TYPE_STATE)
        self.state = OgnTutorialCudaDataCpuDatabase.ValuesForState(node, self.attributes.state, dynamic_attributes)
