import time
from concurrent.futures import ThreadPoolExecutor

class BatchProcessor:
    def __init__(self):
        self.max_workers = 4
    
    def process(self, images: list) -> dict:
        start_time = time.time()
        
        results = []
        for img in images:
            result = self._process_single(img)
            results.append(result)
        
        processing_time = (time.time() - start_time) * 1000
        
        avg_confidence = sum(r.get('confidence', 0) for r in results) / len(results) if results else 0
        
        return {
            "total": len(results),
            "items": results,
            "avg_confidence": avg_confidence,
            "processing_time": processing_time
        }
    
    def _process_single(self, image: np.ndarray) -> dict:
        return {
            "id": id(image),
            "type": "clothing",
            "confidence": 0.85
        }