# model.py - 최소한의 구현
import triton_python_backend_utils as pb_utils
import numpy as np

class TritonPythonModel:
    def initialize(self, args):
        print("Model initialized")
        
    def execute(self, requests):
        print(f"Received {len(requests)} requests")
        responses = []
        
        for i, request in enumerate(requests):
            print(f"Processing request {i}")
            
            # 고정된 응답 생성
            output_data = "Hello World"
            output_tensor = pb_utils.Tensor("OUTPUT", np.array([output_data]))
            
            response = pb_utils.InferenceResponse(output_tensors=[output_tensor])
            responses.append(response)
            print(f"Response {i} created")
            
        print("All responses ready")
        return responses
    
    def finalize(self):
        print("Model finalized")