""" Tests compressed data parsing functionality for all of the parsers defined in parsers.py """ import os import zipfile import pytest import pandas as pd import pandas._testing as tm @pytest.fixture(params=[True, False]) def buffer(request): return request.param @pytest.fixture def parser_and_data(all_parsers, csv1): parser = all_parsers with open(csv1, "rb") as f: data = f.read() expected = parser.read_csv(csv1) return parser, data, expected @pytest.mark.parametrize("compression", ["zip", "infer", "zip2"]) def test_zip(parser_and_data, compression): parser, data, expected = parser_and_data with tm.ensure_clean("test_file.zip") as path: with zipfile.ZipFile(path, mode="w") as tmp: tmp.writestr("test_file", data) if compression == "zip2": with open(path, "rb") as f: result = parser.read_csv(f, compression="zip") else: result = parser.read_csv(path, compression=compression) tm.assert_frame_equal(result, expected) @pytest.mark.parametrize("compression", ["zip", "infer"]) def test_zip_error_multiple_files(parser_and_data, compression): parser, data, expected = parser_and_data with tm.ensure_clean("combined_zip.zip") as path: inner_file_names = ["test_file", "second_file"] with zipfile.ZipFile(path, mode="w") as tmp: for file_name in inner_file_names: tmp.writestr(file_name, data) with pytest.raises(ValueError, match="Multiple files"): parser.read_csv(path, compression=compression) def test_zip_error_no_files(parser_and_data): parser, _, _ = parser_and_data with tm.ensure_clean() as path: with zipfile.ZipFile(path, mode="w"): pass with pytest.raises(ValueError, match="Zero files"): parser.read_csv(path, compression="zip") def test_zip_error_invalid_zip(parser_and_data): parser, _, _ = parser_and_data with tm.ensure_clean() as path: with open(path, "wb") as f: with pytest.raises(zipfile.BadZipfile, match="File is not a zip file"): parser.read_csv(f, compression="zip") @pytest.mark.parametrize("filename", [None, "test.{ext}"]) def test_compression(parser_and_data, compression_only, buffer, filename): parser, data, expected = parser_and_data compress_type = compression_only ext = "gz" if compress_type == "gzip" else compress_type filename = filename if filename is None else filename.format(ext=ext) if filename and buffer: pytest.skip("Cannot deduce compression from buffer of compressed data.") with tm.ensure_clean(filename=filename) as path: tm.write_to_compressed(compress_type, path, data) compression = "infer" if filename else compress_type if buffer: with open(path, "rb") as f: result = parser.read_csv(f, compression=compression) else: result = parser.read_csv(path, compression=compression) tm.assert_frame_equal(result, expected) @pytest.mark.parametrize("ext", [None, "gz", "bz2"]) def test_infer_compression(all_parsers, csv1, buffer, ext): # see gh-9770 parser = all_parsers kwargs = dict(index_col=0, parse_dates=True) expected = parser.read_csv(csv1, **kwargs) kwargs["compression"] = "infer" if buffer: with open(csv1) as f: result = parser.read_csv(f, **kwargs) else: ext = "." + ext if ext else "" result = parser.read_csv(csv1 + ext, **kwargs) tm.assert_frame_equal(result, expected) def test_compression_utf_encoding(all_parsers, csv_dir_path, utf_value, encoding_fmt): # see gh-18071, gh-24130 parser = all_parsers encoding = encoding_fmt.format(utf_value) path = os.path.join(csv_dir_path, f"utf{utf_value}_ex_small.zip") result = parser.read_csv(path, encoding=encoding, compression="zip", sep="\t") expected = pd.DataFrame( { "Country": ["Venezuela", "Venezuela"], "Twitter": ["Hugo Chávez Frías", "Henrique Capriles R."], } ) tm.assert_frame_equal(result, expected) @pytest.mark.parametrize("invalid_compression", ["sfark", "bz3", "zipper"]) def test_invalid_compression(all_parsers, invalid_compression): parser = all_parsers compress_kwargs = dict(compression=invalid_compression) msg = "Unrecognized compression type: {compression}".format(**compress_kwargs) with pytest.raises(ValueError, match=msg): parser.read_csv("test_file.zip", **compress_kwargs)