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

Sample values from a Perlin noise field.
 The noise field for any given seed is static: the same input position will always
give the same result. This is useful in many areas, such as texturing and animation, where repeatability is essential. If
you want a result that varies then you will need to vary either the position or the seed. For example, connecting the 'frame'
output of an OnTick node to position will provide a noise result which varies from frame to frame. Perlin noise is locally
smooth, meaning that small changes in the sample position will produce small changes in the resulting noise. Varying the
seed value will produce a more chaotic result.
 Another characteristic of Perlin noise is that it is zero at the corners
of each cell in the field. In practical terms this means that integral positions, such as 5.0 in a one-dimensional field
or (3.0, -1.0) in a two-dimensional field, will return a result of 0.0. Thus, if the source of your sample positions provides
only integral values then all of your results will be zero. To avoid this try offsetting your position values by a fractional
amount, such as 0.5.
"""

from typing import Any

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



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

    Class Members:
        node: Node being evaluated

    Attribute Value Properties:
        Inputs:
            inputs.position
            inputs.seed
        Outputs:
            outputs.result
    """

    # 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:position', 'float,float[2],float[2][],float[3],float[3][],float[4],float[4][],float[]', 1, None, 'Position(s) within the noise field to be sampled. For a given seed, the same position \nwill always return the same noise value.', {}, True, None, False, ''),
        ('inputs:seed', 'uint', 0, None, 'Seed for generating the noise field.', {ogn.MetadataKeys.DEFAULT: '0'}, True, 0, False, ''),
        ('outputs:result', 'float,float[]', 1, None, 'Value at the selected position(s) in the noise field.', {}, 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 position(self) -> og.RuntimeAttribute:
            """Get the runtime wrapper class for the attribute inputs.position"""
            return og.RuntimeAttribute(self._attributes.position.get_attribute_data(), self._context, True)

        @position.setter
        def position(self, value_to_set: Any):
            """Assign another attribute's value to outputs.position"""
            if isinstance(value_to_set, og.RuntimeAttribute):
                self.position.value = value_to_set.value
            else:
                self.position.value = value_to_set

        @property
        def seed(self):
            data_view = og.AttributeValueHelper(self._attributes.seed)
            return data_view.get()

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

        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._batchedWriteValues = { }

        @property
        def result(self) -> og.RuntimeAttribute:
            """Get the runtime wrapper class for the attribute outputs.result"""
            return og.RuntimeAttribute(self._attributes.result.get_attribute_data(), self._context, False)

        @result.setter
        def result(self, value_to_set: Any):
            """Assign another attribute's value to outputs.result"""
            if isinstance(value_to_set, og.RuntimeAttribute):
                self.result.value = value_to_set.value
            else:
                self.result.value = value_to_set

        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 = OgnNoiseDatabase.ValuesForInputs(node, self.attributes.inputs, dynamic_attributes)
        dynamic_attributes = self.dynamic_attribute_data(node, og.AttributePortType.ATTRIBUTE_PORT_TYPE_OUTPUT)
        self.outputs = OgnNoiseDatabase.ValuesForOutputs(node, self.attributes.outputs, dynamic_attributes)
        dynamic_attributes = self.dynamic_attribute_data(node, og.AttributePortType.ATTRIBUTE_PORT_TYPE_STATE)
        self.state = OgnNoiseDatabase.ValuesForState(node, self.attributes.state, dynamic_attributes)
