"""Demo test showcasing the video processing testing framework capabilities.""" import pytest import time from pathlib import Path @pytest.mark.smoke def test_framework_smoke_test(quality_tracker, video_test_config, video_assert): """Quick smoke test to verify framework functionality.""" # Record some basic assertions for quality tracking quality_tracker.record_assertion(True, "Framework initialization successful") quality_tracker.record_assertion(True, "Configuration loaded correctly") quality_tracker.record_assertion(True, "Quality tracker working") # Test basic configuration assert video_test_config.project_name == "Video Processor" assert video_test_config.parallel_workers >= 1 # Test custom assertions video_assert.assert_video_quality(8.5, 7.0) # Should pass video_assert.assert_encoding_performance(15.0, 10.0) # Should pass print("✅ Framework smoke test completed successfully") @pytest.mark.unit def test_enhanced_fixtures(enhanced_temp_dir, video_config, test_video_scenarios): """Test the enhanced fixtures provided by the framework.""" # Test enhanced temp directory structure assert enhanced_temp_dir.exists() assert (enhanced_temp_dir / "input").exists() assert (enhanced_temp_dir / "output").exists() assert (enhanced_temp_dir / "thumbnails").exists() assert (enhanced_temp_dir / "sprites").exists() assert (enhanced_temp_dir / "logs").exists() # Test video configuration assert video_config.base_path == enhanced_temp_dir assert "mp4" in video_config.output_formats assert "webm" in video_config.output_formats # Test video scenarios assert "standard_hd" in test_video_scenarios assert "short_clip" in test_video_scenarios assert test_video_scenarios["standard_hd"]["resolution"] == "1920x1080" print("✅ Enhanced fixtures test completed") @pytest.mark.unit def test_quality_metrics_tracking(quality_tracker): """Test quality metrics tracking functionality.""" # Simulate some test activity quality_tracker.record_assertion(True, "Basic functionality works") quality_tracker.record_assertion(True, "Configuration is valid") quality_tracker.record_assertion(False, "This is an expected failure for testing") # Record a warning quality_tracker.record_warning("This is a test warning") # Simulate video processing quality_tracker.record_video_processing( input_size_mb=50.0, duration=2.5, output_quality=8.7 ) # The metrics will be finalized automatically by the framework print("✅ Quality metrics tracking test completed") @pytest.mark.integration def test_mock_ffmpeg_environment(mock_ffmpeg_environment, quality_tracker): """Test the comprehensive FFmpeg mocking environment.""" # Test that mocks are available assert "success" in mock_ffmpeg_environment assert "failure" in mock_ffmpeg_environment assert "probe" in mock_ffmpeg_environment # Record this as a successful integration test quality_tracker.record_assertion(True, "FFmpeg environment mocked successfully") quality_tracker.record_video_processing( input_size_mb=25.0, duration=1.2, output_quality=9.0 ) print("✅ FFmpeg environment test completed") @pytest.mark.performance def test_performance_benchmarking(performance_benchmarks, quality_tracker): """Test performance benchmarking functionality.""" # Simulate a performance test start_time = time.time() # Simulate some work time.sleep(0.1) duration = time.time() - start_time # Check against benchmarks h264_720p_target = performance_benchmarks["encoding"]["h264_720p"] assert h264_720p_target > 0 # Record performance metrics simulated_fps = 20.0 # Simulated encoding FPS quality_tracker.record_video_processing( input_size_mb=30.0, duration=duration, output_quality=8.0 ) quality_tracker.record_assertion( simulated_fps >= 10.0, f"Encoding FPS {simulated_fps} meets minimum requirement" ) print(f"✅ Performance test completed in {duration:.3f}s") @pytest.mark.video_360 def test_360_video_fixtures(video_360_fixtures, quality_tracker): """Test 360° video processing fixtures.""" # Test equirectangular projection equirect = video_360_fixtures["equirectangular"] assert equirect["projection"] == "equirectangular" assert equirect["fov"] == 360 assert equirect["resolution"] == "4096x2048" # Test cubemap projection cubemap = video_360_fixtures["cubemap"] assert cubemap["projection"] == "cubemap" assert cubemap["expected_faces"] == 6 # Record 360° specific metrics quality_tracker.record_assertion(True, "360° fixtures loaded correctly") quality_tracker.record_video_processing( input_size_mb=150.0, # 360° videos are typically larger duration=5.0, output_quality=8.5 ) print("✅ 360° video fixtures test completed") @pytest.mark.ai_analysis def test_ai_analysis_fixtures(ai_analysis_fixtures, quality_tracker): """Test AI analysis fixtures.""" # Test scene detection configuration scene_detection = ai_analysis_fixtures["scene_detection"] assert scene_detection["min_scene_duration"] == 2.0 assert scene_detection["confidence_threshold"] == 0.8 assert len(scene_detection["expected_scenes"]) == 2 # Test object tracking configuration object_tracking = ai_analysis_fixtures["object_tracking"] assert object_tracking["min_object_size"] == 50 assert object_tracking["max_objects_per_frame"] == 10 # Record AI analysis metrics quality_tracker.record_assertion(True, "AI analysis fixtures configured") quality_tracker.record_assertion(True, "Scene detection parameters valid") print("✅ AI analysis fixtures test completed") @pytest.mark.streaming def test_streaming_fixtures(streaming_fixtures, quality_tracker): """Test streaming and adaptive bitrate fixtures.""" # Test adaptive streaming configuration adaptive = streaming_fixtures["adaptive_streams"] assert "360p" in adaptive["resolutions"] assert "720p" in adaptive["resolutions"] assert "1080p" in adaptive["resolutions"] assert len(adaptive["bitrates"]) == 3 # Test live streaming configuration live = streaming_fixtures["live_streaming"] assert live["latency_target"] == 3.0 assert live["keyframe_interval"] == 2.0 # Record streaming metrics quality_tracker.record_assertion(True, "Streaming fixtures configured") quality_tracker.record_video_processing( input_size_mb=100.0, duration=3.0, output_quality=7.8 ) print("✅ Streaming fixtures test completed") @pytest.mark.slow def test_comprehensive_framework_integration( enhanced_temp_dir, video_config, quality_tracker, test_artifacts_dir, video_assert ): """Comprehensive test demonstrating full framework integration.""" # Test artifacts directory assert test_artifacts_dir.exists() assert test_artifacts_dir.name.startswith("test_comprehensive_framework_integration") # Create a test artifact test_artifact = test_artifacts_dir / "test_output.txt" test_artifact.write_text("This is a test artifact") assert test_artifact.exists() # Simulate comprehensive video processing workflow quality_tracker.record_assertion(True, "Test environment setup") quality_tracker.record_assertion(True, "Configuration validated") quality_tracker.record_assertion(True, "Input video loaded") # Simulate multiple processing steps for i in range(3): quality_tracker.record_video_processing( input_size_mb=40.0 + i * 10, duration=1.0 + i * 0.5, output_quality=8.0 + i * 0.2 ) # Test custom assertions video_assert.assert_duration_preserved(10.0, 10.1, 0.2) # Should pass video_assert.assert_file_size_reasonable(45.0, 100.0) # Should pass quality_tracker.record_assertion(True, "All processing steps completed") quality_tracker.record_assertion(True, "Output validation successful") print("✅ Comprehensive framework integration test completed") if __name__ == "__main__": # Allow running this test file directly for quick testing pytest.main([__file__, "-v"])