from src.flashcard_generator.text_processing import clean_text, split_into_chunks, token_count


def test_clean_text_normalizes_whitespace_and_hyphenation():
    text = "Neural net-\nworks\n\n learn   patterns."
    assert clean_text(text) == "Neural networks learn patterns."


def test_split_into_chunks_keeps_content():
    sentence = "Photosynthesis converts light energy into chemical energy."
    text = " ".join([sentence] * 120)
    chunks = split_into_chunks(text, min_tokens=40, max_tokens=80)
    assert len(chunks) > 1
    assert sum(token_count(chunk) for chunk in chunks) == token_count(text)
    assert all(token_count(chunk) <= 120 for chunk in chunks)