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

Generates a random numeric value in a range, using a uniform distribution. The range is specified with two inputs: minimum
and maximum. These inputs can be numbers, vectors, tuples or arrays of these. If one input has a higher dimension than the
other,  then the input with lower dimension will be repeated to match the dimension of the other input (broadcasting). 
"""

from typing import Any
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 OgnRandomNumericDatabase(og.Database):
    """Helper class providing simplified access to data on nodes of type omni.graph.nodes.RandomNumeric

    Class Members:
        node: Node being evaluated

    Attribute Value Properties:
        Inputs:
            inputs.execIn
            inputs.isNoise
            inputs.max
            inputs.min
            inputs.seed
            inputs.useSeed
        Outputs:
            outputs.execOut
            outputs.random
        State:
            state.gen
    """

    # 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:execIn', 'execution', 0, None, 'The input execution port to output a new random value', {}, True, None, False, ''),
        ('inputs:isNoise', 'bool', 0, 'Is Noise Function', 'Turn this node into a noise generator function\nFor a given seed, it will then always output the same number(s)', {ogn.MetadataKeys.HIDDEN: 'true', ogn.MetadataKeys.LITERAL_ONLY: '1', ogn.MetadataKeys.DEFAULT: 'false'}, True, False, False, ''),
        ('inputs:max', 'colord[3],colord[3][],colord[4],colord[4][],colorf[3],colorf[3][],colorf[4],colorf[4][],colorh[3],colorh[3][],colorh[4],colorh[4][],double,double[2],double[2][],double[3],double[3][],double[4],double[4][],double[],float,float[2],float[2][],float[3],float[3][],float[4],float[4][],float[],frame[4],frame[4][],half,half[2],half[2][],half[3],half[3][],half[4],half[4][],half[],int,int64,int64[],int[2],int[2][],int[3],int[3][],int[4],int[4][],int[],matrixd[3],matrixd[3][],matrixd[4],matrixd[4][],normald[3],normald[3][],normalf[3],normalf[3][],normalh[3],normalh[3][],pointd[3],pointd[3][],pointf[3],pointf[3][],pointh[3],pointh[3][],quatd[4],quatd[4][],quatf[4],quatf[4][],quath[4],quath[4][],texcoordd[2],texcoordd[2][],texcoordd[3],texcoordd[3][],texcoordf[2],texcoordf[2][],texcoordf[3],texcoordf[3][],texcoordh[2],texcoordh[2][],texcoordh[3],texcoordh[3][],timecode,timecode[],transform[4],transform[4][],uchar,uchar[],uint,uint64,uint64[],uint[],vectord[3],vectord[3][],vectorf[3],vectorf[3][],vectorh[3],vectorh[3][]', 1, 'Maximum', 'The maximum of the random range,\ninclusive of integral numbers\nexclusive for real numbers.\nCan be a number, vector, tuple, or array of these.\nThe default value is double 1.', {}, False, None, False, ''),
        ('inputs:min', 'colord[3],colord[3][],colord[4],colord[4][],colorf[3],colorf[3][],colorf[4],colorf[4][],colorh[3],colorh[3][],colorh[4],colorh[4][],double,double[2],double[2][],double[3],double[3][],double[4],double[4][],double[],float,float[2],float[2][],float[3],float[3][],float[4],float[4][],float[],frame[4],frame[4][],half,half[2],half[2][],half[3],half[3][],half[4],half[4][],half[],int,int64,int64[],int[2],int[2][],int[3],int[3][],int[4],int[4][],int[],matrixd[3],matrixd[3][],matrixd[4],matrixd[4][],normald[3],normald[3][],normalf[3],normalf[3][],normalh[3],normalh[3][],pointd[3],pointd[3][],pointf[3],pointf[3][],pointh[3],pointh[3][],quatd[4],quatd[4][],quatf[4],quatf[4][],quath[4],quath[4][],texcoordd[2],texcoordd[2][],texcoordd[3],texcoordd[3][],texcoordf[2],texcoordf[2][],texcoordf[3],texcoordf[3][],texcoordh[2],texcoordh[2][],texcoordh[3],texcoordh[3][],timecode,timecode[],transform[4],transform[4][],uchar,uchar[],uint,uint64,uint64[],uint[],vectord[3],vectord[3][],vectorf[3],vectorf[3][],vectorh[3],vectorh[3][]', 1, 'Minimum', 'The minimum of the random range (inclusive).\nCan be a number, vector, tuple, or array of these.\nThe default value is double 0.', {}, False, None, False, ''),
        ('inputs:seed', 'uint64', 0, 'Seed', 'The seed of the random generator.', {}, False, None, False, ''),
        ('inputs:useSeed', 'bool', 0, 'Use seed', 'Use the custom seed instead of a random one', {ogn.MetadataKeys.DEFAULT: 'false'}, True, False, False, ''),
        ('outputs:execOut', 'execution', 0, None, 'The output execution port', {}, True, None, False, ''),
        ('outputs:random', 'colord[3],colord[3][],colord[4],colord[4][],colorf[3],colorf[3][],colorf[4],colorf[4][],colorh[3],colorh[3][],colorh[4],colorh[4][],double,double[2],double[2][],double[3],double[3][],double[4],double[4][],double[],float,float[2],float[2][],float[3],float[3][],float[4],float[4][],float[],frame[4],frame[4][],half,half[2],half[2][],half[3],half[3][],half[4],half[4][],half[],int,int64,int64[],int[2],int[2][],int[3],int[3][],int[4],int[4][],int[],matrixd[3],matrixd[3][],matrixd[4],matrixd[4][],normald[3],normald[3][],normalf[3],normalf[3][],normalh[3],normalh[3][],pointd[3],pointd[3][],pointf[3],pointf[3][],pointh[3],pointh[3][],quatd[4],quatd[4][],quatf[4],quatf[4][],quath[4],quath[4][],texcoordd[2],texcoordd[2][],texcoordd[3],texcoordd[3][],texcoordf[2],texcoordf[2][],texcoordf[3],texcoordf[3][],texcoordh[2],texcoordh[2][],texcoordh[3],texcoordh[3][],timecode,timecode[],transform[4],transform[4][],uchar,uchar[],uint,uint64,uint64[],uint[],vectord[3],vectord[3][],vectorf[3],vectorf[3][],vectorh[3],vectorh[3][]', 1, 'Random Numeric', 'The random numeric value that was generated', {}, True, None, False, ''),
        ('state:gen', 'matrix3d', 0, None, 'Random number generator internal state (abusing matrix3d because it is large enough).', {}, True, None, False, ''),
    ])

    @classmethod
    def _populate_role_data(cls):
        """Populate a role structure with the non-default roles on this node type"""
        role_data = super()._populate_role_data()
        role_data.inputs.execIn = og.AttributeRole.EXECUTION
        role_data.outputs.execOut = og.AttributeRole.EXECUTION
        role_data.state.gen = og.AttributeRole.MATRIX
        return role_data

    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 execIn(self):
            data_view = og.AttributeValueHelper(self._attributes.execIn)
            return data_view.get()

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

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

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

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

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

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

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

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

        @useSeed.setter
        def useSeed(self, value):
            if self._setting_locked:
                raise og.ReadOnlyError(self._attributes.useSeed)
            data_view = og.AttributeValueHelper(self._attributes.useSeed)
            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 execOut(self):
            data_view = og.AttributeValueHelper(self._attributes.execOut)
            return data_view.get()

        @execOut.setter
        def execOut(self, value):
            data_view = og.AttributeValueHelper(self._attributes.execOut)
            data_view.set(value)

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

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

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

        @gen.setter
        def gen(self, value):
            data_view = og.AttributeValueHelper(self._attributes.gen)
            data_view.set(value)

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