import unittest
from utils.json_loader import JsonDataLoader
from models.simon_says import simon_says
from utils.metrics import accuracy
from utils.openai import cassette_for


class TestSimonSays(unittest.TestCase):
    def test_accuracy(self):
        with cassette_for("simon_says"):
            loader = JsonDataLoader(filepath="data/validation.json")
            inputs, targets = loader.load_data()

            predictions = [simon_says(**input_) for input_ in inputs]

            response_target = [target["response"] for target in targets]

            accuracy_score = accuracy(predictions, response_target)
            # Set a threshold for the accuracy
            threshold = 0.9

            self.assertGreaterEqual(
                accuracy_score,
                threshold,
                f"Model accuracy {accuracy_score} is below the threshold {threshold}",
            )