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

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. Both plain attribute and bundle
attribute extraction are shown.
"""

import carb
import numpy
import sys
import traceback

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



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

    Class Members:
        node: Node being evaluated

    Attribute Value Properties:
        Inputs:
            inputs.multiplier
            inputs.points
        Outputs:
            outputs.outBundle
            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.DEFAULT: '[]'}, True, [], False, ''),
        ('outputs:outBundle', 'bundle', 0, None, 'Bundle containing a copy of the output points', {ogn.MetadataKeys.MEMORY_TYPE: 'any'}, True, None, False, ''),
        ('outputs:points', 'float3[]', 0, None, 'Final positions of points', {}, 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.outputs.outBundle = og.AttributeRole.BUNDLE
        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 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)

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

        @points.setter
        def points(self, value):
            if self._setting_locked:
                raise og.ReadOnlyError(self._attributes.points)
            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 _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.__bundles = og.BundleContainer(context, node, attributes, ['outputs_outBundle'], read_only=False, gpu_ptr_kinds={"outputs_outBundle": og.PtrToPtrKind.CPU})
            self.points_size = None
            self._batchedWriteValues = { }

        @property
        def outBundle(self) -> og.BundleContents:
            """Get the bundle wrapper class for the attribute outputs.outBundle"""
            return self.__bundles.outBundle

        @outBundle.setter
        def outBundle(self, bundle: og.BundleContents):
            """Overwrite the bundle attribute outputs.outBundle with a new bundle"""
            if not isinstance(bundle, og.BundleContents):
                carb.log_error("Only bundle attributes can be assigned to another bundle attribute")
            self.__bundles.outBundle.bundle = bundle

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

    class abi:
        """Class defining the ABI interface for the node type"""

        @staticmethod
        def get_node_type():
            get_node_type_function = getattr(OgnTutorialCudaDataCpuPyDatabase.NODE_TYPE_CLASS, 'get_node_type', None)
            if callable(get_node_type_function):
                return get_node_type_function()
            return 'omni.graph.tutorials.CudaCpuArraysPy'

        @staticmethod
        def compute(context, node):
            def database_valid():
                if not db.outputs.outBundle.valid:
                    db.log_error('Required bundle outputs.outBundle is invalid, compute skipped')
                    return False
                return True
            try:
                per_node_data = OgnTutorialCudaDataCpuPyDatabase.PER_NODE_DATA[node.node_id()]
                db = per_node_data.get('_db')
                if db is None:
                    db = OgnTutorialCudaDataCpuPyDatabase(node)
                    per_node_data['_db'] = db
                if not database_valid():
                    per_node_data['_db'] = None
                    return False
            except:
                db = OgnTutorialCudaDataCpuPyDatabase(node)

            try:
                compute_function = getattr(OgnTutorialCudaDataCpuPyDatabase.NODE_TYPE_CLASS, 'compute', None)
                if callable(compute_function) and compute_function.__code__.co_argcount > 1:
                    return compute_function(context, node)

                db.inputs._prefetch()
                db.inputs._setting_locked = True
                with og.in_compute():
                    return OgnTutorialCudaDataCpuPyDatabase.NODE_TYPE_CLASS.compute(db)
            except Exception as error:
                stack_trace = "".join(traceback.format_tb(sys.exc_info()[2].tb_next))
                db.log_error(f'Assertion raised in compute - {error}\n{stack_trace}', add_context=False)
            finally:
                db.inputs._setting_locked = False
                db.outputs._commit()
            return False

        @staticmethod
        def initialize(context, node):
            OgnTutorialCudaDataCpuPyDatabase._initialize_per_node_data(node)
            initialize_function = getattr(OgnTutorialCudaDataCpuPyDatabase.NODE_TYPE_CLASS, 'initialize', None)
            if callable(initialize_function):
                initialize_function(context, node)

            per_node_data = OgnTutorialCudaDataCpuPyDatabase.PER_NODE_DATA[node.node_id()]
            def on_connection_or_disconnection(*args):
                per_node_data['_db'] = None

            node.register_on_connected_callback(on_connection_or_disconnection)
            node.register_on_disconnected_callback(on_connection_or_disconnection)

        @staticmethod
        def release(node):
            release_function = getattr(OgnTutorialCudaDataCpuPyDatabase.NODE_TYPE_CLASS, 'release', None)
            if callable(release_function):
                release_function(node)
            OgnTutorialCudaDataCpuPyDatabase._release_per_node_data(node)

        @staticmethod
        def release_instance(node, target):
            OgnTutorialCudaDataCpuPyDatabase._release_per_node_instance_data(node, target)

        @staticmethod
        def update_node_version(context, node, old_version, new_version):
            update_node_version_function = getattr(OgnTutorialCudaDataCpuPyDatabase.NODE_TYPE_CLASS, 'update_node_version', None)
            if callable(update_node_version_function):
                return update_node_version_function(context, node, old_version, new_version)
            return False

        @staticmethod
        def initialize_type(node_type):
            initialize_type_function = getattr(OgnTutorialCudaDataCpuPyDatabase.NODE_TYPE_CLASS, 'initialize_type', None)
            needs_initializing = True
            if callable(initialize_type_function):
                needs_initializing = initialize_type_function(node_type)
            if needs_initializing:
                node_type.set_metadata(ogn.MetadataKeys.EXTENSION, "omni.graph.tutorials")
                node_type.set_metadata(ogn.MetadataKeys.MEMORY_TYPE, "cuda")
                node_type.set_metadata(ogn.MetadataKeys.UI_NAME, "Python Tutorial Node: Attributes With CUDA Array Pointers In Cpu Memory")
                node_type.set_metadata(ogn.MetadataKeys.CATEGORIES, "tutorials")
                node_type.set_metadata(ogn.MetadataKeys.DESCRIPTION, "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. Both plain attribute and bundle attribute extraction are shown.")
                node_type.set_metadata(ogn.MetadataKeys.LANGUAGE, "Python")
                node_type.set_metadata(ogn.MetadataKeys.MEMORY_TYPE, "cuda")
                icon_path = carb.tokens.get_tokens_interface().resolve("${omni.graph.tutorials}")
                icon_path = icon_path + '/' + "ogn/icons/omni.graph.tutorials.CudaCpuArraysPy.svg"
                node_type.set_metadata(ogn.MetadataKeys.ICON_PATH, icon_path)
                OgnTutorialCudaDataCpuPyDatabase.INTERFACE.add_to_node_type(node_type)

        @staticmethod
        def on_connection_type_resolve(node):
            on_connection_type_resolve_function = getattr(OgnTutorialCudaDataCpuPyDatabase.NODE_TYPE_CLASS, 'on_connection_type_resolve', None)
            if callable(on_connection_type_resolve_function):
                on_connection_type_resolve_function(node)

    NODE_TYPE_CLASS = None

    @staticmethod
    def register(node_type_class):
        OgnTutorialCudaDataCpuPyDatabase.NODE_TYPE_CLASS = node_type_class
        og.register_node_type(OgnTutorialCudaDataCpuPyDatabase.abi, 1)

    @staticmethod
    def deregister():
        og.deregister_node_type("omni.graph.tutorials.CudaCpuArraysPy")
