// Copyright (c) Microsoft Corporation. All rights reserved.
// Copyright (c) Intel Corporation. All rights reserved.
// Licensed under the MIT License.

#include <core/providers/common.h>

#include "core/providers/webnn/builders/model_builder.h"
#include "core/providers/webnn/builders/op_builder_factory.h"
#include "core/providers/webnn/builders/helper.h"

#include "base_op_builder.h"

namespace onnxruntime {
namespace webnn {

class LogicalOpBuilder : public BaseOpBuilder {
  // Add operator related.
 private:
  Status AddToModelBuilderImpl(ModelBuilder& model_builder, const Node& node,
                               const logging::Logger& logger) const override ORT_MUST_USE_RESULT;
  // Operator support related.
  bool IsOpSupportedImpl(const InitializedTensorSet& /* initializers */, const Node& node,
                         const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
};

// Add operator related.

Status LogicalOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder, const Node& node,
                                               const logging::Logger& /* logger */) const {
  const auto& op_type = node.OpType();
  emscripten::val input0 = model_builder.GetOperand(node.InputDefs()[0]->Name());
  emscripten::val input1 = model_builder.GetOperand(node.InputDefs()[1]->Name());
  emscripten::val output = emscripten::val::object();
  if (op_type == "Equal") {
    output = model_builder.GetBuilder().call<emscripten::val>("equal", input0, input1);
  } else {
    return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT,
                           "LogicalOpBuilder::AddToModelBuilderImpl, unknown op: ", op_type);
  }

  model_builder.AddOperand(node.OutputDefs()[0]->Name(), std::move(output));
  return Status::OK();
}

void CreateLogicalOpBuilder(const std::string& op_type, OpBuilderRegistrations& op_registrations) {
  if (op_registrations.op_builder_map.find(op_type) != op_registrations.op_builder_map.cend())
    return;

  static std::vector<std::string> op_types =
      {
          "Equal",
      };

  op_registrations.builders.push_back(std::make_unique<LogicalOpBuilder>());
  for (const auto& type : op_types) {
    op_registrations.op_builder_map.emplace(type, op_registrations.builders.back().get());
  }
}

bool LogicalOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& /* initializers */,
                                         const Node& node,
                                         const WebnnDeviceType /* device_type */,
                                         const logging::Logger& logger) const {
  const auto& name = node.Name();
  const auto& op_type = node.OpType();
  const auto& input_defs = node.InputDefs();
  if (input_defs.size() < 2) {
    LOGS(logger, VERBOSE) << op_type << " [" << name << "] requires at least 2 inputs, actual: "
                          << input_defs.size();
    return false;
  }
  return true;
}

}  // namespace webnn
}  // namespace onnxruntime
