"""Model loader module for the code error detector."""

import os
import pickle
from typing import Any, Optional


def load_model(model_path: str) -> Any:
    """
    Load a trained model from disk.

    Args:
        model_path: Path to the model file

    Returns:
        Loaded model
    """
    if not os.path.exists(model_path):
        # Return a dummy model for now
        return DummyModel()

    try:
        with open(model_path, "rb") as f:
            model = pickle.load(f)
        return model
    except Exception as e:
        print(f"Error loading model: {e}")
        return DummyModel()


class DummyModel:
    """A placeholder model when the actual model is not available."""

    def predict(self, code: str) -> list:
        """
        Make predictions with the dummy model.

        Args:
            code: Python code string

        Returns:
            Empty list for now
        """
        # Return a prediction that indicates no error by default
        return [0]

    def predict_proba(self, code: str) -> list:
        """
        Make probabilistic predictions with the dummy model.

        Args:
            code: Python code string

        Returns:
            Empty list for now
        """
        # Return probabilities where class 0 (no error) has high probability
        return [[1.0, 0.0]]