Method export_for_ai

ci/profile/parse_results.py:185–222

Export structured data for AI consumption

(self)

        return report

    def export_for_ai(self) -> dict[str, Any]:
        """Export structured data for AI consumption"""
        target = self.results[0].target if self.results else "unknown"

        # Handle comparison tests
        if len(self.variants) > 1:
            variant_stats: dict[str, Any] = {}
            for variant_name, variant_results in self.variants.items():
                variant_stats[variant_name] = self.compute_statistics(variant_results)

            # Compute speedup
            sorted_variants = sorted(
                variant_stats.items(), key=lambda x: x[1]["median"]
            )
            fastest = sorted_variants[0]
            slowest = sorted_variants[-1]
            speedup = slowest[1]["median"] / fastest[1]["median"]

            return {
                "target": target,
                "comparison": True,
                "variants": variant_stats,
                "fastest": fastest[0],
                "slowest": slowest[0],
                "speedup": round(speedup, 2),
            }
        else:
            # Single variant
            stats = self.compute_statistics()
            return {
                "target": target,
                "comparison": False,
                "statistics": stats,
                "raw_results": [
                    {"ns_per_call": r.ns_per_call, "calls_per_sec": r.calls_per_sec}
                    for r in self.results
                ],
            }


def main() -> int: