from models.schemas import MeasurementResult
import time

from draft_computation import run

class MeasurementService:
    """
    A service to handle the draft measurement logic.
    This is a placeholder that simulates a PyTorch model's output.
    """
    def measure(self, image_bytes: bytes) -> MeasurementResult:
        """
        Simulates running a deep learning model on the image.

        Args:
            image_bytes: The raw bytes of the image file.

        Returns:
            A MeasurementResult object with simulated data.
        """
        # Simulate model processing time
        time.sleep(2) # Simulate a 2-second processing time

        results = run(image_bytes)
        print(results)

        return MeasurementResult(
            draft_measurement=7.85, # Example measurement in meters
            confidence_score=0.958
        ), results