/*
 *  ******************************************************************************
 *  *
 *  *
 *  * This program and the accompanying materials are made available under the
 *  * terms of the Apache License, Version 2.0 which is available at
 *  * https://www.apache.org/licenses/LICENSE-2.0.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * Unless required by applicable law or agreed to in writing, software
 *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 *  * License for the specific language governing permissions and limitations
 *  * under the License.
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 *  * SPDX-License-Identifier: Apache-2.0
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 */
package org.nd4j.samediff.frameworkimport.rule.attribute

import org.nd4j.ir.OpNamespace
import org.nd4j.samediff.frameworkimport.ArgDescriptor
import org.nd4j.samediff.frameworkimport.argDescriptorType
import org.nd4j.samediff.frameworkimport.context.MappingContext
import org.nd4j.samediff.frameworkimport.findOp
import org.nd4j.samediff.frameworkimport.lookupIndexForArgDescriptor
import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
import com.google.protobuf.GeneratedMessageV3
import com.google.protobuf.ProtocolMessageEnum

abstract class AttributeNDArrayToScalarAttribute<
        GRAPH_DEF : GeneratedMessageV3,
        OP_DEF_TYPE : GeneratedMessageV3,
        NODE_TYPE : GeneratedMessageV3,
        ATTR_DEF : GeneratedMessageV3,
        ATTR_VALUE_TYPE : GeneratedMessageV3,
        TENSOR_TYPE : GeneratedMessageV3, DATA_TYPE : ProtocolMessageEnum>(
    mappingNamesToPerform: Map<String, String>,
    transformerArgs: Map<String, List<OpNamespace.ArgDescriptor>>) :
    BaseAttributeExtractionRule<GRAPH_DEF, OP_DEF_TYPE, NODE_TYPE, ATTR_DEF, ATTR_VALUE_TYPE, TENSOR_TYPE, DATA_TYPE>
        (
        name = "attributendarraytoscalarattribute",
        mappingNamesToPerform = mappingNamesToPerform,
        transformerArgs = transformerArgs
    ) {

    override fun acceptsInputType(argDescriptorType: AttributeValueType): Boolean {
        return argDescriptorType == AttributeValueType.TENSOR
    }

    override fun outputsType(argDescriptorType: List<OpNamespace.ArgDescriptor.ArgType>): Boolean {
        return argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT64) ||
                argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.DOUBLE) ||
                argDescriptorType.contains(OpNamespace.ArgDescriptor.ArgType.INT32)
    }

    override fun convertAttributes(mappingCtx: MappingContext<GRAPH_DEF, NODE_TYPE, OP_DEF_TYPE, TENSOR_TYPE, ATTR_DEF, ATTR_VALUE_TYPE, DATA_TYPE>): List<OpNamespace.ArgDescriptor> {
        val ret = ArrayList<OpNamespace.ArgDescriptor>()
        for ((k, v) in mappingNamesToPerform()) {
            val irAttribute = mappingCtx.tensorAttributeFor(v).toNd4jNDArray()
            val nd4jOpDescriptor =  OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingCtx.opName())
            val realDataType = argDescriptorType(k, nd4jOpDescriptor)
            when(realDataType) {
                OpNamespace.ArgDescriptor.ArgType.DOUBLE -> {
                    ret.add(ArgDescriptor {
                        argType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
                        name = k
                        doubleValue = irAttribute.getDouble(0)
                        argIndex = lookupIndexForArgDescriptor(
                            argDescriptorName = k,
                            opDescriptorName = mappingCtx.nd4jOpName(),
                            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.DOUBLE
                        )
                    })
                }

                OpNamespace.ArgDescriptor.ArgType.INT64 -> {
                    ret.add(ArgDescriptor {
                        argType = OpNamespace.ArgDescriptor.ArgType.INT64
                        name = k
                        int64Value = irAttribute.getInt(0).toLong()
                        argIndex = lookupIndexForArgDescriptor(
                            argDescriptorName = k,
                            opDescriptorName = mappingCtx.nd4jOpName(),
                            argDescriptorType = OpNamespace.ArgDescriptor.ArgType.INT64
                        )
                    })
                }
            }

        }

        return ret
    }
}