| import unittest | |
| import os | |
| import shutil | |
| from scrape_script import append_to_parquet | |
| import pandas as pd | |
| class TestAppendToParquet(unittest.TestCase): | |
| def setUp(self): | |
| self.temp_dir = "temp_data" | |
| if not os.path.exists(self.temp_dir): | |
| os.makedirs(self.temp_dir) | |
| def tearDown(self): | |
| shutil.rmtree(self.temp_dir) | |
| def test_cleaning_rules(self): | |
| content = ( | |
| "<span>Test text with HTML tags.</span> " | |
| "https://example.com\n" | |
| "Chapter 1\n" | |
| "Halakhah 1\n" | |
| "<b>bold text</b> <strong>strong text</strong> <small>small text</small>" | |
| ) | |
| file_path = "sample_file.txt" | |
| lang = "en" | |
| top_level_directory = "test" | |
| append_to_parquet(content, file_path, lang, top_level_directory, data_dir=self.temp_dir) | |
| parquet_file = os.path.join(self.temp_dir, f"train_{top_level_directory}_english.parquet") | |
| self.assertTrue(os.path.exists(parquet_file)) | |
| df = pd.read_parquet(parquet_file) | |
| self.assertEqual(len(df), 1) | |
| cleaned_content = df.loc[0, "text"] | |
| expected_cleaned_content = ( | |
| "Test text with HTML tags. " | |
| "\n" | |
| "bold text strong text small text" | |
| ) | |
| cleaned_content_lines = [line.strip() for line in cleaned_content.split("\n") if line.strip()] | |
| expected_cleaned_content_lines = [line.strip() for line in expected_cleaned_content.split("\n") if line.strip()] | |
| self.assertEqual(len(cleaned_content_lines), len(expected_cleaned_content_lines)) | |
| for clean_line, expected_line in zip(cleaned_content_lines, expected_cleaned_content_lines): | |
| self.assertEqual(clean_line, expected_line) | |
| if __name__ == "__main__": | |
| unittest.main() | |