def get_weighted_score()

in src/epam/auto_llm_eval/evaluation_report.py [0:0]

• 11 lines of code
• 6 McCabe index (conditional complexity)

    def get_weighted_score(self) -> float:
        """
        Calculate weighted score based on passed steps and their weights.

        Returns:
            float: Weighted score between 0 and 1, where:
                0 means all steps failed
                1 means all steps passed
        """
        if not self.steps:
            return 0.0

        total_weight = sum(step.weight for step in self.steps)
        if total_weight == 0:
            return 0.0

        weighted_passes = sum(
            step.weight for step in self.steps
            if step.status.lower() == 'pass'
        )

        return weighted_passes / total_weight