tests/conftest.py

"""

Pytest configuration and shared fixtures for TouchGrass tests.

"""

import pytest
import torch
from pathlib import Path


@pytest.fixture(scope="session")
def project_root():
    """Return the project root directory."""
    return Path(__file__).parent.parent


@pytest.fixture(scope="session")
def test_data_dir(project_root):
    """Return the test data directory."""
    data_dir = project_root / "tests" / "data"
    data_dir.mkdir(parents=True, exist_ok=True)
    return data_dir


@pytest.fixture
def sample_music_tokens():
    """Return a list of sample music tokens."""
    return [
        "[GUITAR]", "[PIANO]", "[DRUMS]", "[VOCALS]", "[THEORY]", "[PRODUCTION]",
        "[FRUSTRATED]", "[CONFUSED]", "[EXCITED]", "[CONFIDENT]",
        "[EASY]", "[MEDIUM]", "[HARD]",
        "[TAB]", "[CHORD]", "[SCALE]", "[INTERVAL]", "[PROGRESSION]",
        "[SIMPLIFY]", "[ENCOURAGE]"
    ]


@pytest.fixture
def sample_qa_pair():
    """Return a sample QA pair for testing."""
    return {
        "category": "guitar",
        "messages": [
            {"role": "system", "content": "You are a guitar assistant."},
            {"role": "user", "content": "How do I play a G major chord?"},
            {"role": "assistant", "content": "Place your middle finger on the 3rd fret of the 6th string, index on 2nd fret of 5th string, and ring/pinky on 3rd fret of the 1st and 2nd strings."}
        ]
    }


@pytest.fixture
def mock_tokenizer():
    """Create a mock tokenizer for testing."""
    class MockTokenizer:
        def __init__(self):
            self.vocab_size = 32000
            self.pad_token_id = 0

        def encode(self, text, **kwargs):
            # Simple mock encoding
            return [1, 2, 3, 4, 5]

        def decode(self, token_ids, **kwargs):
            return "mocked decoded text"

        def add_special_tokens(self, tokens_dict):
            self.vocab_size += len(tokens_dict.get("additional_special_tokens", []))

        def add_tokens(self, tokens):
            if isinstance(tokens, list):
                self.vocab_size += len(tokens)
            else:
                self.vocab_size += 1

        def convert_tokens_to_ids(self, token):
            return 32000 if token.startswith("[") else 1

    return MockTokenizer()


@pytest.fixture
def device():
    """Return the device to use for tests."""
    return "cuda" if torch.cuda.is_available() else "cpu"


@pytest.fixture
def d_model():
    """Return the model dimension for tests."""
    return 768


@pytest.fixture
def batch_size():
    """Return the batch size for tests."""
    return 4


@pytest.fixture
def seq_len():
    """Return the sequence length for tests."""
    return 10


@pytest.fixture
def music_theory_module(device, d_model):
    """Create a MusicTheoryModule instance for testing."""
    from TouchGrass.models.music_theory_module import MusicTheoryModule
    module = MusicTheoryModule(d_model=d_model).to(device)
    module.eval()
    return module


@pytest.fixture
def tab_chord_module(device, d_model):
    """Create a TabChordModule instance for testing."""
    from TouchGrass.models.tab_chord_module import TabChordModule
    module = TabChordModule(d_model=d_model).to(device)
    module.eval()
    return module


@pytest.fixture
def ear_training_module(device, d_model):
    """Create an EarTrainingModule instance for testing."""
    from TouchGrass.models.ear_training_module import EarTrainingModule
    module = EarTrainingModule(d_model=d_model).to(device)
    module.eval()
    return module


@pytest.fixture
def eq_adapter_module(device, d_model):
    """Create a MusicEQAdapter instance for testing."""
    from TouchGrass.models.eq_adapter import MusicEQAdapter
    module = MusicEQAdapter(d_model=d_model).to(device)
    module.eval()
    return module


@pytest.fixture
def songwriting_module(device, d_model):
    """Create a SongwritingModule instance for testing."""
    from TouchGrass.models.songwriting_module import SongwritingModule
    module = SongwritingModule(d_model=d_model).to(device)
    module.eval()
    return module


@pytest.fixture
def music_qa_generator():
    """Create a MusicQAGenerator instance for testing."""
    from TouchGrass.data.music_qa_generator import MusicQAGenerator
    generator = MusicQAGenerator()
    return generator


@pytest.fixture
def chat_formatter():
    """Create a ChatFormatter instance for testing."""
    from TouchGrass.data.chat_formatter import ChatFormatter
    formatter = ChatFormatter()
    return formatter


@pytest.fixture
def touchgrass_loss():
    """Create a TouchGrassLoss instance for testing."""
    from TouchGrass.training.losses import TouchGrassLoss
    loss_fn = TouchGrassLoss(lm_loss_weight=1.0, eq_loss_weight=0.1, music_module_loss_weight=0.05)
    return loss_fn


def pytest_configure(config):
    """Configure pytest with custom markers."""
    config.addinivalue_line(
        "markers", "slow: marks tests as slow (deselect with '-m \"not slow\"')"
    )
    config.addinivalue_line(
        "markers", "integration: marks tests as integration tests"
    )
    config.addinivalue_line(
        "markers", "gpu: marks tests that require GPU"
    )


def pytest_collection_modifyitems(config, items):
    """Modify test collection to add markers based on file names."""
    for item in items:
        if "test_inference" in item.nodeid:
            item.add_marker(pytest.mark.integration)
        if "test_trainer" in item.nodeid:
            item.add_marker(pytest.mark.slow)