#!/usr/bin/env python3 """Demo showing the video processing testing framework in action.""" import pytest import tempfile import shutil from pathlib import Path # Import framework components directly from tests.framework.config import TestingConfig from tests.framework.quality import QualityMetricsCalculator from tests.framework.reporters import HTMLReporter, JSONReporter, TestResult @pytest.mark.smoke def test_framework_smoke_demo(): """Demo smoke test showing framework capabilities.""" # Create quality tracker tracker = QualityMetricsCalculator("framework_smoke_demo") # Record some test activity tracker.record_assertion(True, "Framework initialization successful") tracker.record_assertion(True, "Configuration loaded correctly") tracker.record_assertion(True, "Quality tracker working") # Test configuration config = TestingConfig() assert config.project_name == "Video Processor" assert config.parallel_workers >= 1 # Simulate video processing tracker.record_video_processing( input_size_mb=50.0, duration=2.5, output_quality=8.7 ) print("✅ Framework smoke test completed successfully") @pytest.mark.unit def test_enhanced_configuration(): """Test enhanced configuration capabilities.""" tracker = QualityMetricsCalculator("enhanced_configuration") # Create configuration from environment config = TestingConfig.from_env() # Test configuration properties tracker.record_assertion(config.parallel_workers > 0, "Parallel workers configured") tracker.record_assertion(config.timeout_seconds > 0, "Timeout configured") tracker.record_assertion(config.reports_dir.exists(), "Reports directory exists") # Test pytest args generation args = config.get_pytest_args() tracker.record_assertion(len(args) > 0, "Pytest args generated") # Test coverage args coverage_args = config.get_coverage_args() tracker.record_assertion("--cov=src/" in coverage_args, "Coverage configured for src/") print("✅ Enhanced configuration test completed") @pytest.mark.unit def test_quality_scoring(): """Test quality metrics and scoring system.""" tracker = QualityMetricsCalculator("quality_scoring_test") # Record comprehensive test data for i in range(10): tracker.record_assertion(True, f"Test assertion {i+1}") # Record one expected failure tracker.record_assertion(False, "Expected edge case failure for testing") # Record a warning tracker.record_warning("Non-critical issue detected during testing") # Record multiple video processing operations for i in range(3): tracker.record_video_processing( input_size_mb=40.0 + i * 10, duration=1.5 + i * 0.5, output_quality=8.0 + i * 0.3 ) # Finalize and check metrics metrics = tracker.finalize() # Validate metrics assert metrics.test_name == "quality_scoring_test" assert metrics.assertions_total == 11 assert metrics.assertions_passed == 10 assert metrics.videos_processed == 3 assert metrics.overall_score > 0 print(f"✅ Quality scoring test completed - Overall Score: {metrics.overall_score:.1f}/10") print(f" Grade: {metrics.grade}") @pytest.mark.integration def test_html_report_generation(): """Test HTML report generation with video theme.""" config = TestingConfig() reporter = HTMLReporter(config) # Create mock test results with quality metrics from tests.framework.quality import TestQualityMetrics from datetime import datetime # Create various test scenarios test_scenarios = [ { "name": "test_video_encoding_h264", "status": "passed", "duration": 2.5, "category": "Unit", "quality": TestQualityMetrics( test_name="test_video_encoding_h264", timestamp=datetime.now(), duration=2.5, success=True, functional_score=9.0, performance_score=8.5, reliability_score=9.2, maintainability_score=8.8, assertions_passed=15, assertions_total=15, videos_processed=1, encoding_fps=12.0 ) }, { "name": "test_360_video_processing", "status": "passed", "duration": 15.2, "category": "360°", "quality": TestQualityMetrics( test_name="test_360_video_processing", timestamp=datetime.now(), duration=15.2, success=True, functional_score=8.7, performance_score=7.5, reliability_score=8.9, maintainability_score=8.2, assertions_passed=22, assertions_total=25, videos_processed=1, encoding_fps=3.2 ) }, { "name": "test_streaming_integration", "status": "failed", "duration": 5.8, "category": "Integration", "error_message": "Streaming endpoint connection timeout after 30s", "quality": TestQualityMetrics( test_name="test_streaming_integration", timestamp=datetime.now(), duration=5.8, success=False, functional_score=4.0, performance_score=6.0, reliability_score=3.5, maintainability_score=7.0, assertions_passed=8, assertions_total=12, error_count=1 ) }, { "name": "test_ai_analysis_smoke", "status": "skipped", "duration": 0.1, "category": "AI", "error_message": "AI analysis dependencies not available in CI environment" } ] # Add test results to reporter for scenario in test_scenarios: result = TestResult( name=scenario["name"], status=scenario["status"], duration=scenario["duration"], category=scenario["category"], error_message=scenario.get("error_message"), quality_metrics=scenario.get("quality") ) reporter.add_test_result(result) # Generate HTML report html_content = reporter.generate_report() # Validate report content assert "Video Processor Test Report" in html_content assert "test_video_encoding_h264" in html_content assert "test_360_video_processing" in html_content assert "test_streaming_integration" in html_content assert "test_ai_analysis_smoke" in html_content # Check for video theme elements assert "--bg-primary: #0d1117" in html_content # Dark theme assert "video-accent" in html_content # Video accent color assert "Quality Metrics Overview" in html_content assert "Test Analytics & Trends" in html_content # Save report to temp file for manual inspection temp_dir = Path(tempfile.mkdtemp()) report_path = temp_dir / "demo_report.html" with open(report_path, "w") as f: f.write(html_content) print(f"✅ HTML report generation test completed") print(f" Report saved to: {report_path}") # Cleanup shutil.rmtree(temp_dir, ignore_errors=True) @pytest.mark.performance def test_performance_simulation(): """Simulate performance testing with benchmarks.""" tracker = QualityMetricsCalculator("performance_simulation") # Simulate different encoding scenarios encoding_tests = [ {"codec": "h264", "resolution": "720p", "target_fps": 15.0, "actual_fps": 18.2}, {"codec": "h264", "resolution": "1080p", "target_fps": 8.0, "actual_fps": 9.5}, {"codec": "h265", "resolution": "720p", "target_fps": 6.0, "actual_fps": 7.1}, {"codec": "webm", "resolution": "1080p", "target_fps": 6.0, "actual_fps": 5.8}, ] for test in encoding_tests: # Check if performance meets benchmark meets_benchmark = test["actual_fps"] >= test["target_fps"] tracker.record_assertion( meets_benchmark, f"{test['codec']} {test['resolution']} encoding performance" ) # Record video processing metrics tracker.record_video_processing( input_size_mb=60.0 if "1080p" in test["resolution"] else 30.0, duration=2.0, output_quality=8.0 + (test["actual_fps"] / test["target_fps"]) ) metrics = tracker.finalize() print(f"✅ Performance simulation completed - Score: {metrics.overall_score:.1f}/10") if __name__ == "__main__": # Run tests using pytest import sys sys.exit(pytest.main([__file__, "-v", "--tb=short"]))