/**
 * @file src/platform/linux/cuda.cu
 * @brief todo
 */
// #include <algorithm>
#include <helper_math.h>
#include <chrono>
#include <limits>
#include <memory>
#include <optional>
#include <string_view>

#include "cuda.h"

using namespace std::literals;

#define SUNSHINE_STRINGVIEW_HELPER(x) x##sv
#define SUNSHINE_STRINGVIEW(x) SUNSHINE_STRINGVIEW_HELPER(x)

#define CU_CHECK(x, y) \
  if(check((x), SUNSHINE_STRINGVIEW(y ": "))) return -1

#define CU_CHECK_VOID(x, y) \
  if(check((x), SUNSHINE_STRINGVIEW(y ": "))) return;

#define CU_CHECK_PTR(x, y) \
  if(check((x), SUNSHINE_STRINGVIEW(y ": "))) return nullptr;

#define CU_CHECK_OPT(x, y) \
  if(check((x), SUNSHINE_STRINGVIEW(y ": "))) return std::nullopt;

#define CU_CHECK_IGNORE(x, y) \
  check((x), SUNSHINE_STRINGVIEW(y ": "))

using namespace std::literals;

// Special declarations
/**
 * NVCC tends to have problems with standard headers.
 * Don't include common.h, instead use bare minimum
 * of standard headers and duplicate declarations of necessary classes.
 * Not pretty and extremely error-prone, fix at earliest convenience.
 */
namespace platf {
struct img_t: std::enable_shared_from_this<img_t> {
public:
  std::uint8_t *data {};
  std::int32_t width {};
  std::int32_t height {};
  std::int32_t pixel_pitch {};
  std::int32_t row_pitch {};

  std::optional<std::chrono::steady_clock::time_point> frame_timestamp;

  virtual ~img_t() = default;
};
} // namespace platf

// End special declarations

namespace cuda {

struct alignas(16) cuda_color_t {
  float4 color_vec_y;
  float4 color_vec_u;
  float4 color_vec_v;
  float2 range_y;
  float2 range_uv;
};

static_assert(sizeof(video::color_t) == sizeof(cuda::cuda_color_t), "color matrix struct mismatch");

auto constexpr INVALID_TEXTURE = std::numeric_limits<cudaTextureObject_t>::max();

template<class T>
inline T div_align(T l, T r) {
  return (l + r - 1) / r;
}

void pass_error(const std::string_view &sv, const char *name, const char *description);
inline static int check(cudaError_t result, const std::string_view &sv) {
  if(result) {
    auto name        = cudaGetErrorName(result);
    auto description = cudaGetErrorString(result);

    pass_error(sv, name, description);
    return -1;
  }

  return 0;
}

template<class T>
ptr_t make_ptr() {
  void *p;
  CU_CHECK_PTR(cudaMalloc(&p, sizeof(T)), "Couldn't allocate color matrix");

  ptr_t ptr { p };

  return ptr;
}

void freeCudaPtr_t::operator()(void *ptr) {
  CU_CHECK_IGNORE(cudaFree(ptr), "Couldn't free cuda device pointer");
}

void freeCudaStream_t::operator()(cudaStream_t ptr) {
  CU_CHECK_IGNORE(cudaStreamDestroy(ptr), "Couldn't free cuda stream");
}

stream_t make_stream(int flags) {
  cudaStream_t stream;

  if(!flags) {
    CU_CHECK_PTR(cudaStreamCreate(&stream), "Couldn't create cuda stream");
  }
  else {
    CU_CHECK_PTR(cudaStreamCreateWithFlags(&stream, flags), "Couldn't create cuda stream with flags");
  }

  return stream_t { stream };
}

inline __device__ float3 bgra_to_rgb(uchar4 vec) {
  return make_float3((float)vec.z, (float)vec.y, (float)vec.x);
}

inline __device__ float3 bgra_to_rgb(float4 vec) {
  return make_float3(vec.z, vec.y, vec.x);
}

inline __device__ float2 calcUV(float3 pixel, const cuda_color_t *const color_matrix) {
  float4 vec_u = color_matrix->color_vec_u;
  float4 vec_v = color_matrix->color_vec_v;

  float u = dot(pixel, make_float3(vec_u)) + vec_u.w;
  float v = dot(pixel, make_float3(vec_v)) + vec_v.w;

  u = u * color_matrix->range_uv.x + color_matrix->range_uv.y;
  v = v * color_matrix->range_uv.x + color_matrix->range_uv.y;

  return make_float2(u, v);
}

inline __device__ float calcY(float3 pixel, const cuda_color_t *const color_matrix) {
  float4 vec_y = color_matrix->color_vec_y;

  return (dot(pixel, make_float3(vec_y)) + vec_y.w) * color_matrix->range_y.x + color_matrix->range_y.y;
}

__global__ void RGBA_to_NV12(
  cudaTextureObject_t srcImage, std::uint8_t *dstY, std::uint8_t *dstUV,
  std::uint32_t dstPitchY, std::uint32_t dstPitchUV,
  float scale, const viewport_t viewport, const cuda_color_t *const color_matrix) {

  int idX = (threadIdx.x + blockDim.x * blockIdx.x) * 2;
  int idY = (threadIdx.y + blockDim.y * blockIdx.y) * 2;

  if(idX >= viewport.width) return;
  if(idY >= viewport.height) return;

  float x = idX * scale;
  float y = idY * scale;

  idX += viewport.offsetX;
  idY += viewport.offsetY;

  uint8_t *dstY0  = dstY + idX + idY * dstPitchY;
  uint8_t *dstY1  = dstY + idX + (idY + 1) * dstPitchY;
  dstUV = dstUV + idX + (idY / 2 * dstPitchUV);

  float3 rgb_lt = bgra_to_rgb(tex2D<float4>(srcImage, x, y));
  float3 rgb_rt = bgra_to_rgb(tex2D<float4>(srcImage, x + scale, y));
  float3 rgb_lb = bgra_to_rgb(tex2D<float4>(srcImage, x, y + scale));
  float3 rgb_rb = bgra_to_rgb(tex2D<float4>(srcImage, x + scale, y + scale));

  float2 uv_lt = calcUV(rgb_lt, color_matrix) * 256.0f;
  float2 uv_rt = calcUV(rgb_rt, color_matrix) * 256.0f;
  float2 uv_lb = calcUV(rgb_lb, color_matrix) * 256.0f;
  float2 uv_rb = calcUV(rgb_rb, color_matrix) * 256.0f;

  float2 uv = (uv_lt + uv_lb + uv_rt + uv_rb) * 0.25f;

  dstUV[0] = uv.x;
  dstUV[1] = uv.y;
  dstY0[0]  = calcY(rgb_lt, color_matrix) * 245.0f; // 245.0f is a magic number to ensure slight changes in luminosity are more visible
  dstY0[1]  = calcY(rgb_rt, color_matrix) * 245.0f; // 245.0f is a magic number to ensure slight changes in luminosity are more visible
  dstY1[0]  = calcY(rgb_lb, color_matrix) * 245.0f; // 245.0f is a magic number to ensure slight changes in luminosity are more visible
  dstY1[1]  = calcY(rgb_rb, color_matrix) * 245.0f; // 245.0f is a magic number to ensure slight changes in luminosity are more visible
}

int tex_t::copy(std::uint8_t *src, int height, int pitch) {
  CU_CHECK(cudaMemcpy2DToArray(array, 0, 0, src, pitch, pitch, height, cudaMemcpyDeviceToDevice), "Couldn't copy to cuda array from deviceptr");

  return 0;
}

std::optional<tex_t> tex_t::make(int height, int pitch) {
  tex_t tex;

  auto format = cudaCreateChannelDesc<uchar4>();
  CU_CHECK_OPT(cudaMallocArray(&tex.array, &format, pitch, height, cudaArrayDefault), "Couldn't allocate cuda array");

  cudaResourceDesc res {};
  res.resType         = cudaResourceTypeArray;
  res.res.array.array = tex.array;

  cudaTextureDesc desc {};

  desc.readMode         = cudaReadModeNormalizedFloat;
  desc.filterMode       = cudaFilterModePoint;
  desc.normalizedCoords = false;

  std::fill_n(std::begin(desc.addressMode), 2, cudaAddressModeClamp);

  CU_CHECK_OPT(cudaCreateTextureObject(&tex.texture.point, &res, &desc, nullptr), "Couldn't create cuda texture that uses point interpolation");

  desc.filterMode = cudaFilterModeLinear;

  CU_CHECK_OPT(cudaCreateTextureObject(&tex.texture.linear, &res, &desc, nullptr), "Couldn't create cuda texture that uses linear interpolation");

  return tex;
}

tex_t::tex_t() : array {}, texture { INVALID_TEXTURE, INVALID_TEXTURE } {}
tex_t::tex_t(tex_t &&other) : array { other.array }, texture { other.texture } {
  other.array          = 0;
  other.texture.point  = INVALID_TEXTURE;
  other.texture.linear = INVALID_TEXTURE;
}

tex_t &tex_t::operator=(tex_t &&other) {
  std::swap(array, other.array);
  std::swap(texture, other.texture);

  return *this;
}

tex_t::~tex_t() {
  if(texture.point != INVALID_TEXTURE) {
    CU_CHECK_IGNORE(cudaDestroyTextureObject(texture.point), "Couldn't deallocate cuda texture that uses point interpolation");

    texture.point = INVALID_TEXTURE;
  }

  if(texture.linear != INVALID_TEXTURE) {
    CU_CHECK_IGNORE(cudaDestroyTextureObject(texture.linear), "Couldn't deallocate cuda texture that uses linear interpolation");

    texture.linear = INVALID_TEXTURE;
  }

  if(array) {
    CU_CHECK_IGNORE(cudaFreeArray(array), "Couldn't deallocate cuda array");

    array = cudaArray_t {};
  }
}

sws_t::sws_t(int in_width, int in_height, int out_width, int out_height, int pitch, int threadsPerBlock, ptr_t &&color_matrix)
    : threadsPerBlock { threadsPerBlock }, color_matrix { std::move(color_matrix) } {
  // Ensure aspect ratio is maintained
  auto scalar       = std::fminf(out_width / (float)in_width, out_height / (float)in_height);
  auto out_width_f  = in_width * scalar;
  auto out_height_f = in_height * scalar;

  // result is always positive
  auto offsetX_f = (out_width - out_width_f) / 2;
  auto offsetY_f = (out_height - out_height_f) / 2;

  viewport.width  = out_width_f;
  viewport.height = out_height_f;

  viewport.offsetX = offsetX_f;
  viewport.offsetY = offsetY_f;

  scale = 1.0f / scalar;
}

std::optional<sws_t> sws_t::make(int in_width, int in_height, int out_width, int out_height, int pitch) {
  cudaDeviceProp props;
  int device;
  CU_CHECK_OPT(cudaGetDevice(&device), "Couldn't get cuda device");
  CU_CHECK_OPT(cudaGetDeviceProperties(&props, device), "Couldn't get cuda device properties");

  auto ptr = make_ptr<cuda_color_t>();
  if(!ptr) {
    return std::nullopt;
  }

  return std::make_optional<sws_t>(in_width, in_height, out_width, out_height, pitch, props.maxThreadsPerMultiProcessor / props.maxBlocksPerMultiProcessor, std::move(ptr));
}

int sws_t::convert(std::uint8_t *Y, std::uint8_t *UV, std::uint32_t pitchY, std::uint32_t pitchUV, cudaTextureObject_t texture, stream_t::pointer stream) {
  return convert(Y, UV, pitchY, pitchUV, texture, stream, viewport);
}

int sws_t::convert(std::uint8_t *Y, std::uint8_t *UV, std::uint32_t pitchY, std::uint32_t pitchUV, cudaTextureObject_t texture, stream_t::pointer stream, const viewport_t &viewport) {
  int threadsX = viewport.width / 2;
  int threadsY = viewport.height / 2;

  dim3 block(threadsPerBlock);
  dim3 grid(div_align(threadsX, threadsPerBlock), threadsY);

  RGBA_to_NV12<<<grid, block, 0, stream>>>(texture, Y, UV, pitchY, pitchUV, scale, viewport, (cuda_color_t *)color_matrix.get());

  return CU_CHECK_IGNORE(cudaGetLastError(), "RGBA_to_NV12 failed");
}

void sws_t::apply_colorspace(const video::sunshine_colorspace_t& colorspace) {
  auto color_p = video::color_vectors_from_colorspace(colorspace);
  CU_CHECK_IGNORE(cudaMemcpy(color_matrix.get(), color_p, sizeof(video::color_t), cudaMemcpyHostToDevice), "Couldn't copy color matrix to cuda");
}

int sws_t::load_ram(platf::img_t &img, cudaArray_t array) {
  return CU_CHECK_IGNORE(cudaMemcpy2DToArray(array, 0, 0, img.data, img.row_pitch, img.width * img.pixel_pitch, img.height, cudaMemcpyHostToDevice), "Couldn't copy to cuda array");
}

} // namespace cuda
