Method _get_optimization_suggestion

testing/test_analyzer.py:389–404

Generate optimization suggestions based on test characteristics.

(self, category: str, bottleneck_type: str, duration: float)

            return "EXECUTION"
    
    def _get_optimization_suggestion(self, category: str, bottleneck_type: str, duration: float) -> str:
        """Generate optimization suggestions based on test characteristics."""
        suggestions = {
            ("gui", "SETUP"): "Use class-level QApplication setup to avoid repeated initialization",
            ("gui", "EXECUTION"): "Mock Qt operations or use headless testing where possible",
            ("gui", "TEARDOWN"): "Optimize widget cleanup and memory management",
            ("unit", "EXECUTION"): "Profile test logic and mock expensive operations",
            ("integration", "EXECUTION"): "Use test doubles for external dependencies",
            ("headless", "EXECUTION"): "Review algorithms and data structures for efficiency"
        }
        
        key = (category, bottleneck_type)
        if key in suggestions:
            return suggestions[key]
        else:
            return f"Profile {bottleneck_type.lower()} phase to identify specific bottlenecks"
    
    def identify_flaky_tests(self) -> List[str]:
        """Identify tests that have inconsistent results across runs."""