video-processor/tests/framework/demo_test.py

"""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"])