video-v1/vav2/platforms/windows/tests/headless/src/GPUVideoTest.cpp

#include "pch.h"
#include "../src/Common/VideoTypes.h"
#include "../src/FileIO/WebMFileReader.h"
#include "../src/Decoder/AV1Decoder.h"
#include "SimpleGPURenderer_Headless.h"

using namespace Vav2Player;

// AV1 + GPU Integration Test
// Tests real AV1 video decoding with GPU YUV-to-RGB conversion
int TestAV1GPUIntegration(const std::string& videoFile)
{
    std::cout << "\n=== AV1 + GPU Integration Test ===" << std::endl;
    std::cout << "Testing: " << videoFile << std::endl;

    // 1. Initialize WebM file reader
    auto fileReader = std::make_unique<WebMFileReader>();

    if (!fileReader->OpenFile(videoFile))
    {
        std::cout << "[FAIL] Could not open video file" << std::endl;
        return 1;
    }

    // Get video tracks and select the first AV1 track
    auto tracks = fileReader->GetVideoTracks();
    if (tracks.empty())
    {
        std::cout << "[FAIL] No video tracks found" << std::endl;
        return 1;
    }

    auto& track = tracks[0];
    std::cout << "[INFO] Video track: " << track.width << "x" << track.height
              << " @ " << track.frame_rate << "fps, Codec: " << static_cast<int>(track.codec_type) << std::endl;

    if (track.codec_type != Vav2Player::VideoCodecType::AV1)
    {
        std::cout << "[FAIL] Not an AV1 video track" << std::endl;
        return 1;
    }

    fileReader->SelectVideoTrack(0);

    // 2. Create headless AV1 decoder
    auto decoder = std::make_unique<AV1Decoder>();

    if (!decoder)
    {
        std::cout << "[FAIL] Could not create AV1 decoder" << std::endl;
        return 1;
    }

    VideoMetadata metadata;
    metadata.width = track.width;
    metadata.height = track.height;
    metadata.frame_rate = track.frame_rate;
    metadata.codec_type = track.codec_type;

    if (!decoder->Initialize(metadata))
    {
        std::cout << "[FAIL] Could not initialize AV1 decoder" << std::endl;
        return 1;
    }

    std::cout << "[PASS] AV1 decoder initialized successfully" << std::endl;

    // 3. Initialize GPU renderer
    auto gpuRenderer = std::make_unique<SimpleGPURenderer_Headless>();

    HRESULT hr = gpuRenderer->Initialize(track.width, track.height);
    if (FAILED(hr))
    {
        std::cout << "[FAIL] Could not initialize GPU renderer: 0x" << std::hex << hr << std::endl;
        return 1;
    }

    std::cout << "[PASS] GPU renderer initialized successfully" << std::endl;

    // 4. Test actual video frame processing
    int processedFrames = 0;
    int maxFrames = 10; // Test first 10 frames

    auto startTime = std::chrono::high_resolution_clock::now();

    for (int i = 0; i < maxFrames; i++)
    {
        // Read packet from file
        VideoPacket packet;
        if (!fileReader->ReadNextPacket(packet))
        {
            std::cout << "[INFO] End of file reached at frame " << i << std::endl;
            break;
        }

        // Decode AV1 packet to YUV frame
        VideoFrame frame;
        if (!decoder->DecodeFrame(packet, frame))
        {
            std::cout << "[WARN] Failed to decode frame " << i << std::endl;
            continue;
        }

        if (!frame.is_valid)
        {
            std::cout << "[WARN] Invalid frame " << i << std::endl;
            continue;
        }

        // Test GPU rendering (currently only validates frame data)
        hr = gpuRenderer->RenderVideoFrame(frame);
        if (FAILED(hr))
        {
            std::cout << "[WARN] GPU rendering failed for frame " << i << ": 0x" << std::hex << hr << std::endl;
            continue;
        }

        processedFrames++;

        if (i % 5 == 0)
        {
            std::cout << "[INFO] Processed frame " << i << " (" << frame.width << "x" << frame.height
                      << ", Format: " << static_cast<int>(frame.color_space) << ")" << std::endl;
        }
    }

    auto endTime = std::chrono::high_resolution_clock::now();
    auto duration = std::chrono::duration<double, std::milli>(endTime - startTime);

    // 5. Performance analysis
    std::cout << "\n=== Performance Results ===" << std::endl;
    std::cout << "Processed frames: " << processedFrames << "/" << maxFrames << std::endl;
    std::cout << "Total time: " << duration.count() << " ms" << std::endl;

    if (processedFrames > 0)
    {
        double avgTimePerFrame = duration.count() / processedFrames;
        double fps = 1000.0 / avgTimePerFrame;

        std::cout << "Average time per frame: " << avgTimePerFrame << " ms" << std::endl;
        std::cout << "Effective FPS: " << fps << std::endl;

        // Compare with target performance
        double targetFPS = track.frame_rate;
        if (fps >= targetFPS * 0.8) // 80% of target FPS
        {
            std::cout << "[PASS] Performance meets target (" << targetFPS << " fps)" << std::endl;
        }
        else
        {
            std::cout << "[WARN] Performance below target (" << targetFPS << " fps)" << std::endl;
        }
    }

    std::cout << "[SUCCESS] AV1 + GPU integration test completed!" << std::endl;
    return 0;
}