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| import pytest | |
| import tempfile | |
| import os | |
| from pathlib import Path | |
| from app import ( | |
| format_timestamp, | |
| extract_key_phrases, | |
| setup_spacy, | |
| check_ffmpeg | |
| ) | |
| def test_format_timestamp(): | |
| """Test timestamp formatting function""" | |
| assert format_timestamp(0) == "00:00" | |
| assert format_timestamp(60) == "01:00" | |
| assert format_timestamp(125) == "02:05" | |
| assert format_timestamp(3661) == "61:01" | |
| def test_extract_key_phrases(): | |
| """Test key phrase extraction""" | |
| text = "Machine learning is a powerful tool for data analysis and artificial intelligence applications." | |
| phrases = extract_key_phrases(text, top_n=3) | |
| assert isinstance(phrases, list) | |
| assert len(phrases) <= 3 | |
| def test_setup_spacy(): | |
| """Test spaCy setup""" | |
| nlp = setup_spacy() | |
| # Should either return a spaCy model or None | |
| assert nlp is None or hasattr(nlp, '__call__') | |
| def test_check_ffmpeg(): | |
| """Test FFmpeg availability check""" | |
| result = check_ffmpeg() | |
| assert isinstance(result, bool) | |
| def test_app_imports(): | |
| """Test that the app can be imported without errors""" | |
| try: | |
| import app | |
| assert hasattr(app, 'run_pipeline') | |
| assert hasattr(app, 'create_interface') | |
| except ImportError as e: | |
| pytest.fail(f"Failed to import app: {e}") | |
| if __name__ == "__main__": | |
| pytest.main([__file__]) |