negative-converter/tests/test_pipeline.cpp

#include <gtest/gtest.h>

#include "converter/pipeline/Pipeline.h"
#include "converter/pipeline/ImageData.h"
#include "converter/pipeline/Error.h"
#include "converter/preprocess/Preprocessor.h"
#include "converter/negative/NegativeDetector.h"
#include "converter/invert/Inverter.h"
#include "converter/color/ColorCorrector.h"
#include "converter/crop/CropProcessor.h"

#include <opencv2/core.hpp>

using namespace photoconv;

/**
 * @brief Create a synthetic 16-bit test image.
 *
 * @param width  Image width.
 * @param height Image height.
 * @param value  Fill value for all channels (0-65535).
 * @return CV_16UC3 Mat filled with the given value.
 */
static ImageData make_test_image(int width, int height, uint16_t value) {
    ImageData data;
    data.rgb = cv::Mat(height, width, CV_16UC3, cv::Scalar(value, value, value));
    data.source_path = "test_synthetic.png";
    data.metadata.camera_make = "Test";
    data.metadata.camera_model = "Synthetic";
    return data;
}

// ──────────────────────────────────────────────
// Pipeline orchestration tests
// ──────────────────────────────────────────────

TEST(PipelineTest, EmptyPipelinePassesThrough) {
    Pipeline pipeline;
    auto data = make_test_image(100, 100, 32768);

    auto result = pipeline.execute(std::move(data));
    ASSERT_TRUE(result.has_value());
    EXPECT_EQ(result->rgb.cols, 100);
    EXPECT_EQ(result->rgb.rows, 100);
}

TEST(PipelineTest, StageCountIsCorrect) {
    Pipeline pipeline;
    EXPECT_EQ(pipeline.stage_count(), 0);

    pipeline.add_stage(std::make_unique<Preprocessor>());
    EXPECT_EQ(pipeline.stage_count(), 1);

    pipeline.add_stage(std::make_unique<NegativeDetector>());
    EXPECT_EQ(pipeline.stage_count(), 2);
}

TEST(PipelineTest, FullPipelineRunsWithoutError) {
    Pipeline pipeline;
    pipeline.add_stage(std::make_unique<Preprocessor>());
    pipeline.add_stage(std::make_unique<NegativeDetector>());
    pipeline.add_stage(std::make_unique<Inverter>());
    pipeline.add_stage(std::make_unique<ColorCorrector>());
    pipeline.add_stage(std::make_unique<CropProcessor>());

    auto data = make_test_image(200, 200, 40000);
    auto result = pipeline.execute(std::move(data));
    ASSERT_TRUE(result.has_value());
}

TEST(PipelineTest, ProgressCallbackIsCalled) {
    Pipeline pipeline;
    pipeline.add_stage(std::make_unique<Preprocessor>());
    pipeline.add_stage(std::make_unique<NegativeDetector>());

    int callback_count = 0;
    auto data = make_test_image(100, 100, 32768);
    auto result = pipeline.execute(std::move(data),
        [&callback_count](const std::string&, float) {
            ++callback_count;
        });

    ASSERT_TRUE(result.has_value());
    // 2 stage callbacks + 1 "done" callback = 3
    EXPECT_EQ(callback_count, 3);
}

// ──────────────────────────────────────────────
// Preprocessor tests
// ──────────────────────────────────────────────

TEST(PreprocessorTest, AcceptsValidImage) {
    Preprocessor stage;
    auto data = make_test_image(100, 100, 32768);

    auto result = stage.process(std::move(data));
    ASSERT_TRUE(result.has_value());
    EXPECT_EQ(result->rgb.type(), CV_16UC3);
}

TEST(PreprocessorTest, RejectsEmptyImage) {
    Preprocessor stage;
    ImageData data;

    auto result = stage.process(std::move(data));
    ASSERT_FALSE(result.has_value());
    EXPECT_EQ(result.error().code, ErrorCode::InvalidBitDepth);
}

// ──────────────────────────────────────────────
// NegativeDetector tests
// ──────────────────────────────────────────────

TEST(NegativeDetectorTest, DetectsBrightImageAsNegative) {
    NegativeDetector stage;
    // High values = likely negative (inverted)
    auto data = make_test_image(100, 100, 50000);

    auto result = stage.process(std::move(data));
    ASSERT_TRUE(result.has_value());
    EXPECT_NE(result->film_type, FilmType::Unknown);
}

TEST(NegativeDetectorTest, DetectsDarkImageAsPositive) {
    NegativeDetector stage;
    // Low values = likely positive
    auto data = make_test_image(100, 100, 10000);

    auto result = stage.process(std::move(data));
    ASSERT_TRUE(result.has_value());
    // Should be classified as positive (below midpoint)
    EXPECT_TRUE(result->film_type == FilmType::ColorPositive ||
                result->film_type == FilmType::BWPositive);
}

// ──────────────────────────────────────────────
// Inverter tests
// ──────────────────────────────────────────────

TEST(InverterTest, InvertsNegative) {
    Inverter stage;
    auto data = make_test_image(10, 10, 60000);
    data.film_type = FilmType::ColorNegative;

    auto result = stage.process(std::move(data));
    ASSERT_TRUE(result.has_value());

    // After inversion, values should be near 65535 - 60000 = 5535
    cv::Scalar mean = cv::mean(result->rgb);
    EXPECT_LT(mean[0], 10000);
}

TEST(InverterTest, SkipsPositive) {
    Inverter stage;
    auto data = make_test_image(10, 10, 30000);
    data.film_type = FilmType::ColorPositive;

    auto result = stage.process(std::move(data));
    ASSERT_TRUE(result.has_value());

    // Should be unchanged
    cv::Scalar mean = cv::mean(result->rgb);
    EXPECT_NEAR(mean[0], 30000.0, 1.0);
}

// ──────────────────────────────────────────────
// Error type tests
// ──────────────────────────────────────────────

TEST(ErrorTest, FormatIncludesAllInfo) {
    auto err = make_error(ErrorCode::FileNotFound, "test.arw not found");
    auto formatted = err.format();

    EXPECT_NE(formatted.find("test.arw not found"), std::string::npos);
    EXPECT_NE(formatted.find("test_pipeline.cpp"), std::string::npos);
}