"""
Performance benchmarking for LogicPwn operations.
"""
from typing import Dict, Any, List, Optional
from collections import defaultdict
from logicpwn.core.performance.performance_monitor import PerformanceMonitor
from logicpwn.core.performance.performance_metrics import PerformanceMetrics

class PerformanceBenchmark:
    """Performance benchmarking for LogicPwn operations."""
    def __init__(self, iterations: int = 10):
        self.iterations = iterations
        self.results: Dict[str, List[float]] = defaultdict(list)

    def benchmark_request(self, url: str, method: str = "GET", headers: Optional[Dict] = None) -> Dict[str, Any]:
        from logicpwn.core.runner import send_request_advanced
        durations = []
        memory_usage = []
        for i in range(self.iterations):
            with PerformanceMonitor() as monitor:
                try:
                    result = send_request_advanced(url=url, method=method, headers=headers)
                    metrics = monitor.get_metrics()
                    if metrics:
                        durations.append(metrics[-1].duration)
                        memory_usage.append(metrics[-1].memory_after)
                except Exception:
                    durations.append(None)
                    memory_usage.append(None)
        return {
            "durations": durations,
            "memory_usage": memory_usage
        }

    def benchmark_batch_requests(self, request_configs: List[Dict[str, Any]], max_concurrent: int = 10) -> Dict[str, Any]:
        # Placeholder for batch benchmarking logic
        results = []
        for config in request_configs:
            result = self.benchmark_request(**config)
            results.append(result)
        return {"batch_results": results}

    def run_comprehensive_benchmark(self) -> Dict[str, Any]:
        # Placeholder for comprehensive benchmarking logic
        return {"status": "Comprehensive benchmark not implemented"}

def run_performance_benchmark() -> Dict[str, Any]:
    """Convenience function to run a performance benchmark."""
    benchmark = PerformanceBenchmark()
    return benchmark.run_comprehensive_benchmark() 