Method analyze_performance_issues

testing/test_analyzer.py:334–365

Analyze test performance and identify bottlenecks.

(self, results_file: Path)

            return 'LOW'
    
    def analyze_performance_issues(self, results_file: Path) -> List[PerformanceIssue]:
        """Analyze test performance and identify bottlenecks."""
        if not results_file.exists():
            return []
        
        try:
            with open(results_file, 'r') as f:
                data = json.load(f)
        except json.JSONDecodeError:
            return []
        
        issues = []
        
        for test in data.get('tests', []):
            duration = test.get('duration', 0)
            
            # Flag tests slower than 5 seconds (per CLAUDE.md requirement)
            if duration > 5.0:
                test_name = test['nodeid']
                category = self._categorize_test(test_name)
                bottleneck_type = self._identify_bottleneck_type(test_name, duration)
                suggestion = self._get_optimization_suggestion(category, bottleneck_type, duration)
                
                issues.append(PerformanceIssue(
                    test_name=test_name,
                    duration=duration,
                    category=category,
                    bottleneck_type=bottleneck_type,
                    optimization_suggestion=suggestion
                ))
        
        return sorted(issues, key=lambda x: x.duration, reverse=True)
    
    def _categorize_test(self, test_name: str) -> str:
        """Categorize test based on its name and path."""