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/**
 * Copyright (c) 2022 Samsung Electronics Co., Ltd All Rights Reserved
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * 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.
 */

#include "machine_learning_exception.h"
#include "object_detection_3d_adapter.h"

using namespace std;
using namespace MediaVision::Common;
using namespace mediavision::machine_learning;
using namespace mediavision::machine_learning::exception;

namespace mediavision
{
namespace machine_learning
{
template<typename T, typename V> ObjectDetection3dAdapter<T, V>::ObjectDetection3dAdapter() : _source()
{
	_object_detection_3d = make_unique<Objectron>(ObjectDetection3dTaskType::OBJECTRON);
}

template<typename T, typename V> ObjectDetection3dAdapter<T, V>::~ObjectDetection3dAdapter()
{}

template<typename T, typename V> void ObjectDetection3dAdapter<T, V>::create(ObjectDetection3dTaskType task_type)
{}

template<typename T, typename V>
void ObjectDetection3dAdapter<T, V>::setModelInfo(const char *model_file, const char *meta_file, const char *label_file,
												  const char *model_name)
{
	string model_name_str(model_name);

	if (!model_name_str.empty()) {
		transform(model_name_str.begin(), model_name_str.end(), model_name_str.begin(), ::toupper);

		ObjectDetection3dTaskType task_type = ObjectDetection3dTaskType::OBJECT_DETECTION_3D_TASK_NONE;

		if (model_name_str == string("OBJECTRON"))
			task_type = ObjectDetection3dTaskType::OBJECTRON;
		else
			throw InvalidParameter("Invalid object detection 3d model name.");

		create(task_type);
	}

	_model_file = string(model_file);
	_meta_file = string(meta_file);
	_label_file = string(label_file);

	if (_model_file.empty() && _meta_file.empty() && _label_file.empty())
		throw InvalidParameter("Model info not invalid.");

	_object_detection_3d->setUserModel(_model_file, _meta_file, _label_file);
}

template<typename T, typename V>
void ObjectDetection3dAdapter<T, V>::setEngineInfo(const char *engine_type, const char *device_type)
{
	_object_detection_3d->setEngineInfo(string(engine_type), string(device_type));
}

template<typename T, typename V> void ObjectDetection3dAdapter<T, V>::configure()
{
	_object_detection_3d->parseMetaFile();
	_object_detection_3d->configure();
}

template<typename T, typename V>
void ObjectDetection3dAdapter<T, V>::getNumberOfEngines(unsigned int *number_of_engines)
{
	_object_detection_3d->getNumberOfEngines(number_of_engines);
}

template<typename T, typename V>
void ObjectDetection3dAdapter<T, V>::getEngineType(unsigned int engine_index, char **engine_type)
{
	_object_detection_3d->getEngineType(engine_index, engine_type);
}

template<typename T, typename V>
void ObjectDetection3dAdapter<T, V>::getNumberOfDevices(const char *engine_type, unsigned int *number_of_devices)
{
	_object_detection_3d->getNumberOfDevices(engine_type, number_of_devices);
}

template<typename T, typename V>
void ObjectDetection3dAdapter<T, V>::getDeviceType(const char *engine_type, unsigned int device_index,
												   char **device_type)
{
	_object_detection_3d->getDeviceType(engine_type, device_index, device_type);
}

template<typename T, typename V> void ObjectDetection3dAdapter<T, V>::prepare()
{
	_object_detection_3d->prepare();
}

template<typename T, typename V> void ObjectDetection3dAdapter<T, V>::setInput(T &t)
{
	_source = t;
}

template<typename T, typename V> void ObjectDetection3dAdapter<T, V>::perform()
{
	shared_ptr<MetaInfo> metaInfo = _object_detection_3d->getInputMetaInfo();
	if (metaInfo->dataType == MV_INFERENCE_DATA_UINT8)
		_object_detection_3d->perform<unsigned char>(_source.inference_src, metaInfo);
	else if (metaInfo->dataType == MV_INFERENCE_DATA_FLOAT32)
		_object_detection_3d->perform<float>(_source.inference_src, metaInfo);
	else
		throw InvalidOperation("Invalid model data type.");
}

template<typename T, typename V> void ObjectDetection3dAdapter<T, V>::performAsync(T &t)
{
	throw InvalidOperation("Not support yet.");
}

template<typename T, typename V> V &ObjectDetection3dAdapter<T, V>::getOutput()
{
	return _object_detection_3d->result();
}

template<typename T, typename V> V &ObjectDetection3dAdapter<T, V>::getOutputCache()
{
	throw InvalidOperation("Not support yet.");
}

template class ObjectDetection3dAdapter<ObjectDetection3dInput, ObjectDetection3dResult>;
}
}