from unittest.mock import Mock
from utils.api import classify_row_chat

def test_classify_row_chat():
    # Mock the OpenAI client and its response
    client_mock = Mock()
    client_mock.chat.completions.create.return_value = Mock(
        choices=[Mock(message=Mock(content="Positive"))]
    )

    # Define the prompt
    prompt = "Classify the following observation: Age: 25, Weight: 70\nLabel:"

    # Call the classify_row_chat function with the mocked client
    prediction = classify_row_chat(prompt=prompt, client=client_mock, model="gpt-3.5-turbo")

    # Assert the response matches the expected label
    assert prediction == "Positive", "The classification should return 'Positive'"