/*

* SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.

* SPDX-License-Identifier: Apache-2.0

*

* 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.

*/

#pragma once

#include <optional>

#include <string>

#include <vector>

#include <nvimgcodec.h>

#include <pybind11/pybind11.h>

#include "backend.h"

#include "decode_params.h"

#include "encode_params.h"

#include "image.h"

namespace nvimgcodec {

namespace py = pybind11;

using namespace py::literals;

class ILogger;

class CodeStream;

class Encoder

{

public:

Encoder(nvimgcodecInstance_t instance, ILogger* logger, int device_id, int max_num_cpu_threads, std::optional<std::vector<Backend>> backends,

const std::string& options);

~Encoder();

py::object encode(const py::object& image_s, const std::string& codec, std::optional<py::object> code_stream_s = std::nullopt,

const std::optional<EncodeParams>& params = std::nullopt, intptr_t cuda_stream = 0);

py::object write(const std::string& file_name, const py::object& image, const std::string& codec, const std::optional<EncodeParams>& params, intptr_t cuda_stream);

std::vector<py::object> write(const std::vector<std::string>& file_names, const std::vector<py::object>& images, const std::string& codec,

const std::optional<EncodeParams>& params, intptr_t cuda_stream);

py::object enter();

void exit(const std::optional<pybind11::type>& exc_type, const std::optional<pybind11::object>& exc_value,

const std::optional<pybind11::object>& traceback);

static void exportToPython(py::module& m, nvimgcodecInstance_t instance, ILogger* logger);

private:

void encode_batch_impl(const std::vector<const Image*>& images, const std::optional<EncodeParams>& params, intptr_t cuda_stream,

std::function<void(size_t i, nvimgcodecImageInfo_t& out_image_info, nvimgcodecCodeStream_t* code_stream)> create_code_stream,

std::function<void(size_t i, bool skip_item)> post_encode_call_back);

py::object encode_image(const Image* image, const std::string& codec, std::optional<CodeStream*> code_stream,

const std::optional<EncodeParams>& params = std::nullopt, intptr_t cuda_stream = 0);

std::vector<py::object> encode_batch(const std::vector<const Image*>& images, const std::string& codec, std::optional<std::vector<CodeStream*>> code_streams,

const std::optional<EncodeParams>& params = std::nullopt, intptr_t cuda_stream = 0);

py::object write_image(const std::string& file_name, const Image* image, const std::string& codec, const std::optional<EncodeParams>& params, intptr_t cuda_stream);

std::vector<py::object> write_batch(const std::vector<std::string>& file_names, const std::vector<const Image*>& images, const std::string& codec,

const std::optional<EncodeParams>& params, intptr_t cuda_stream);

// Helper function to convert Python objects to Image pointers with exception handling

std::vector<const Image*> convertPyObjectsToImages(const std::vector<py::object>& py_images, intptr_t cuda_stream, std::vector<Image>& image_raii);

std::shared_ptr<std::remove_pointer<nvimgcodecEncoder_t>::type> encoder_;

nvimgcodecInstance_t instance_;

ILogger* logger_;

};

} // namespace nvimgcodec