import pytest

import datasets
import datasets.config


# Import fixture modules as plugins
pytest_plugins = ["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]


def pytest_collection_modifyitems(config, items):
    # Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
    for item in items:
        if any(marker in item.keywords for marker in ["integration", "unit"]):
            continue
        item.add_marker(pytest.mark.unit)


@pytest.fixture(autouse=True)
def set_test_cache_config(tmp_path_factory, monkeypatch):
    # test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
    test_hf_cache_home = tmp_path_factory.getbasetemp() / "cache"
    test_hf_datasets_cache = test_hf_cache_home / "datasets"
    monkeypatch.setattr("datasets.config.HF_DATASETS_CACHE", str(test_hf_datasets_cache))
    test_downloaded_datasets_path = test_hf_datasets_cache / "downloads"
    monkeypatch.setattr("datasets.config.DOWNLOADED_DATASETS_PATH", str(test_downloaded_datasets_path))
    test_extracted_datasets_path = test_hf_datasets_cache / "downloads" / "extracted"
    monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_PATH", str(test_extracted_datasets_path))

    # used in dataset viewer, we may set it to true by default in the future
    monkeypatch.setattr("datasets.config.SAVE_ORIGINAL_SHARD_LENGTHS", True)


@pytest.fixture(autouse=True)
def disable_implicit_token(monkeypatch):
    monkeypatch.setattr("huggingface_hub.constants.HF_HUB_DISABLE_IMPLICIT_TOKEN", True)


@pytest.fixture(autouse=True, scope="session")
def disable_tqdm_output():
    datasets.disable_progress_bar()


@pytest.fixture(autouse=True)
def set_update_download_counts_to_false(monkeypatch):
    # don't take tests into account when counting downloads
    monkeypatch.setattr("datasets.config.HF_UPDATE_DOWNLOAD_COUNTS", False)


@pytest.fixture
def set_sqlalchemy_silence_uber_warning(monkeypatch):
    # Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
    # To be removed once SQLAlchemy 2.0 supported
    try:
        monkeypatch.setattr("sqlalchemy.util.deprecations.SILENCE_UBER_WARNING", True)
    except (ModuleNotFoundError, AttributeError):
        pass


@pytest.fixture(autouse=True, scope="session")
def zero_time_out_for_remote_code():
    datasets.config.TIME_OUT_REMOTE_CODE = 0
