chore: initial project scaffold from architecture design
- Add CLAUDE.md with project overview, tech stack, build commands, architecture description, coding standards, and sample images section - Add full directory structure: src/, docs/, tests/, import/ - Add CMakeLists.txt with C++20, OpenCV/LibRaw/Qt6 dependencies, converter_core static lib, optional GUI, and GTest tests - Add architecture documentation: ARCHITECTURE.md, PIPELINE.md, MODULES.md - Add source skeletons for all pipeline stages: RawLoader, Preprocessor, NegativeDetector, Inverter, ColorCorrector, CropProcessor, OutputWriter, Pipeline, MainWindow, CliRunner, main.cpp - Add initial test stubs for pipeline and rawloader - Add sample ARW files in import/ for integration testing Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Christoph K.
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tests/test_pipeline.cpp
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176
tests/test_pipeline.cpp
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#include <gtest/gtest.h>
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#include "converter/pipeline/Pipeline.h"
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#include "converter/pipeline/ImageData.h"
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#include "converter/pipeline/Error.h"
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#include "converter/preprocess/Preprocessor.h"
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#include "converter/negative/NegativeDetector.h"
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#include "converter/invert/Inverter.h"
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#include "converter/color/ColorCorrector.h"
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#include "converter/crop/CropProcessor.h"
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#include <opencv2/core.hpp>
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using namespace photoconv;
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/**
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* @brief Create a synthetic 16-bit test image.
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*
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* @param width Image width.
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* @param height Image height.
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* @param value Fill value for all channels (0-65535).
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* @return CV_16UC3 Mat filled with the given value.
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*/
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static ImageData make_test_image(int width, int height, uint16_t value) {
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ImageData data;
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data.rgb = cv::Mat(height, width, CV_16UC3, cv::Scalar(value, value, value));
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data.source_path = "test_synthetic.png";
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data.metadata.camera_make = "Test";
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data.metadata.camera_model = "Synthetic";
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return data;
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}
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// ──────────────────────────────────────────────
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// Pipeline orchestration tests
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// ──────────────────────────────────────────────
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TEST(PipelineTest, EmptyPipelinePassesThrough) {
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Pipeline pipeline;
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auto data = make_test_image(100, 100, 32768);
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auto result = pipeline.execute(std::move(data));
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ASSERT_TRUE(result.has_value());
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EXPECT_EQ(result->rgb.cols, 100);
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EXPECT_EQ(result->rgb.rows, 100);
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}
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TEST(PipelineTest, StageCountIsCorrect) {
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Pipeline pipeline;
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EXPECT_EQ(pipeline.stage_count(), 0);
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pipeline.add_stage(std::make_unique<Preprocessor>());
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EXPECT_EQ(pipeline.stage_count(), 1);
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pipeline.add_stage(std::make_unique<NegativeDetector>());
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EXPECT_EQ(pipeline.stage_count(), 2);
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}
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TEST(PipelineTest, FullPipelineRunsWithoutError) {
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Pipeline pipeline;
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pipeline.add_stage(std::make_unique<Preprocessor>());
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pipeline.add_stage(std::make_unique<NegativeDetector>());
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pipeline.add_stage(std::make_unique<Inverter>());
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pipeline.add_stage(std::make_unique<ColorCorrector>());
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pipeline.add_stage(std::make_unique<CropProcessor>());
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auto data = make_test_image(200, 200, 40000);
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auto result = pipeline.execute(std::move(data));
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ASSERT_TRUE(result.has_value());
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}
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TEST(PipelineTest, ProgressCallbackIsCalled) {
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Pipeline pipeline;
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pipeline.add_stage(std::make_unique<Preprocessor>());
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pipeline.add_stage(std::make_unique<NegativeDetector>());
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int callback_count = 0;
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auto data = make_test_image(100, 100, 32768);
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auto result = pipeline.execute(std::move(data),
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[&callback_count](const std::string&, float) {
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++callback_count;
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});
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ASSERT_TRUE(result.has_value());
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// 2 stage callbacks + 1 "done" callback = 3
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EXPECT_EQ(callback_count, 3);
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}
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// ──────────────────────────────────────────────
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// Preprocessor tests
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// ──────────────────────────────────────────────
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TEST(PreprocessorTest, AcceptsValidImage) {
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Preprocessor stage;
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auto data = make_test_image(100, 100, 32768);
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auto result = stage.process(std::move(data));
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ASSERT_TRUE(result.has_value());
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EXPECT_EQ(result->rgb.type(), CV_16UC3);
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}
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TEST(PreprocessorTest, RejectsEmptyImage) {
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Preprocessor stage;
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ImageData data;
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auto result = stage.process(std::move(data));
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ASSERT_FALSE(result.has_value());
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EXPECT_EQ(result.error().code, ErrorCode::InvalidBitDepth);
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}
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// ──────────────────────────────────────────────
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// NegativeDetector tests
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// ──────────────────────────────────────────────
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TEST(NegativeDetectorTest, DetectsBrightImageAsNegative) {
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NegativeDetector stage;
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// High values = likely negative (inverted)
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auto data = make_test_image(100, 100, 50000);
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auto result = stage.process(std::move(data));
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ASSERT_TRUE(result.has_value());
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EXPECT_NE(result->film_type, FilmType::Unknown);
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}
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TEST(NegativeDetectorTest, DetectsDarkImageAsPositive) {
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NegativeDetector stage;
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// Low values = likely positive
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auto data = make_test_image(100, 100, 10000);
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auto result = stage.process(std::move(data));
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ASSERT_TRUE(result.has_value());
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// Should be classified as positive (below midpoint)
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EXPECT_TRUE(result->film_type == FilmType::ColorPositive ||
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result->film_type == FilmType::BWPositive);
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}
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// ──────────────────────────────────────────────
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// Inverter tests
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// ──────────────────────────────────────────────
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TEST(InverterTest, InvertsNegative) {
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Inverter stage;
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auto data = make_test_image(10, 10, 60000);
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data.film_type = FilmType::ColorNegative;
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auto result = stage.process(std::move(data));
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ASSERT_TRUE(result.has_value());
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// After inversion, values should be near 65535 - 60000 = 5535
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cv::Scalar mean = cv::mean(result->rgb);
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EXPECT_LT(mean[0], 10000);
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}
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TEST(InverterTest, SkipsPositive) {
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Inverter stage;
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auto data = make_test_image(10, 10, 30000);
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data.film_type = FilmType::ColorPositive;
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auto result = stage.process(std::move(data));
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ASSERT_TRUE(result.has_value());
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// Should be unchanged
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cv::Scalar mean = cv::mean(result->rgb);
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EXPECT_NEAR(mean[0], 30000.0, 1.0);
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}
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// ──────────────────────────────────────────────
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// Error type tests
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// ──────────────────────────────────────────────
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TEST(ErrorTest, FormatIncludesAllInfo) {
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auto err = make_error(ErrorCode::FileNotFound, "test.arw not found");
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auto formatted = err.format();
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EXPECT_NE(formatted.find("test.arw not found"), std::string::npos);
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EXPECT_NE(formatted.find("test_pipeline.cpp"), std::string::npos);
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}
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