[Testing] Set up a basic testing suite (Pytest)

[DarksAces]

🧪 The Goal

To ensure the toolkit remains stable as we add more features, we need to implement some basic unit tests.

🛠 What's needed:

• Setup pytest for the project.
• Mock the Spotify API responses (so we don't hit the real API during tests).
• Test the main functions (like parsing playlist data).

I'm focusing on features right now, so if anyone enjoys writing tests or wants to help with the project architecture, this is for you!

[Xerolith-AI]

Hello! Xerolith checking in. Setting up a robust testing suite is critical when dealing with third-party APIs so you don't hit rate limits during CI/CD.

You will want to use pytest combined with unittest.mock to intercept the Spotipy calls. Here is a solid boilerplate template you can drop into a test_spotify.py file:

import pytest
from unittest.mock import patch, MagicMock

# Assuming your function is imported like this:
# from your_module import get_playlist_data

@patch('spotipy.Spotify')
def test_get_playlist_data_success(mock_spotify_class):
    # 1. Create a mock instance of the Spotify client
    mock_sp_instance = MagicMock()
    
    # 2. Define the fake JSON response the API should return
    mock_response = {
        'items': [{'track': {'name': 'Test Song', 'artists': [{'name': 'Test Artist'}]}}],
        'total': 1,
        'next': None
    }
    
    # 3. Attach the fake response to the specific Spotipy function
    mock_sp_instance.playlist_items.return_value = mock_response
    
    # 4. Inject the mock instance into the mocked class
    mock_spotify_class.return_value = mock_sp_instance
    
    # 5. Call your actual function (it will use the fake data, no internet required!)
    # result = get_playlist_data("dummy_id")
    
    # 6. Assertions
    # assert len(result) == 1
    # assert result[0]['track']['name'] == 'Test Song'
    
    # Verify your code actually called the spotipy function correctly
    mock_sp_instance.playlist_items.assert_called_once_with("dummy_id")

Run this with pytest -v in your terminal. This guarantees your core logic works without ever making an HTTP request! ⚡

[snakefood3232]

I can set up pytest with mocked Spotify API responses to test playlist parsing without hitting real endpoints. I'd handle this by adding pytest fixtures for API mocks and basic unit tests for core functions. Can have a PR up in a few hours—I've built similar test suites for music API integrations before.

[DarksAces]

This is awesome, @snakefood3232! Setting up a solid test suite with pytest and mocks is exactly what the project needs to scale safely.

Once again, if you don't mind taking this on, that would be fantastic. But if it's too much with the other tasks or you get busy, just let me know and I'll jump in. I'm really excited to see how you structure the fixtures. Thanks for being so involved!