""" Tests compressed data parsing functionality for all of the parsers defined in parsers.py """ import os from pathlib import Path import tarfile import zipfile import pytest from pandas import DataFrame import pandas._testing as tm skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip") @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 @skip_pyarrow @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) @skip_pyarrow @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) @skip_pyarrow 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") @skip_pyarrow def test_zip_error_invalid_zip(parser_and_data): parser, _, _ = parser_and_data with tm.ensure_clean() as path: with open(path, "rb") as f: with pytest.raises(zipfile.BadZipFile, match="File is not a zip file"): parser.read_csv(f, compression="zip") @skip_pyarrow @pytest.mark.parametrize("filename", [None, "test.{ext}"]) def test_compression( request, parser_and_data, compression_only, buffer, filename, compression_to_extension, ): parser, data, expected = parser_and_data compress_type = compression_only ext = compression_to_extension[compress_type] filename = filename if filename is None else filename.format(ext=ext) if filename and buffer: request.node.add_marker( pytest.mark.xfail( reason="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) @skip_pyarrow @pytest.mark.parametrize("ext", [None, "gz", "bz2"]) def test_infer_compression(all_parsers, csv1, buffer, ext): # see gh-9770 parser = all_parsers kwargs = {"index_col": 0, "parse_dates": True} expected = parser.read_csv(csv1, **kwargs) kwargs["compression"] = "infer" if buffer: with open(csv1, encoding="utf-8") 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) @skip_pyarrow 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 = DataFrame( { "Country": ["Venezuela", "Venezuela"], "Twitter": ["Hugo Chávez Frías", "Henrique Capriles R."], } ) tm.assert_frame_equal(result, expected) @skip_pyarrow @pytest.mark.parametrize("invalid_compression", ["sfark", "bz3", "zipper"]) def test_invalid_compression(all_parsers, invalid_compression): parser = all_parsers compress_kwargs = {"compression": invalid_compression} msg = f"Unrecognized compression type: {invalid_compression}" with pytest.raises(ValueError, match=msg): parser.read_csv("test_file.zip", **compress_kwargs) @skip_pyarrow def test_compression_tar_archive(all_parsers, csv_dir_path): parser = all_parsers path = os.path.join(csv_dir_path, "tar_csv.tar.gz") df = parser.read_csv(path) assert list(df.columns) == ["a"] def test_ignore_compression_extension(all_parsers): parser = all_parsers df = DataFrame({"a": [0, 1]}) with tm.ensure_clean("test.csv") as path_csv: with tm.ensure_clean("test.csv.zip") as path_zip: # make sure to create un-compressed file with zip extension df.to_csv(path_csv, index=False) Path(path_zip).write_text( Path(path_csv).read_text(encoding="utf-8"), encoding="utf-8" ) tm.assert_frame_equal(parser.read_csv(path_zip, compression=None), df) @skip_pyarrow def test_writes_tar_gz(all_parsers): parser = all_parsers data = DataFrame( { "Country": ["Venezuela", "Venezuela"], "Twitter": ["Hugo Chávez Frías", "Henrique Capriles R."], } ) with tm.ensure_clean("test.tar.gz") as tar_path: data.to_csv(tar_path, index=False) # test that read_csv infers .tar.gz to gzip: tm.assert_frame_equal(parser.read_csv(tar_path), data) # test that file is indeed gzipped: with tarfile.open(tar_path, "r:gz") as tar: result = parser.read_csv( tar.extractfile(tar.getnames()[0]), compression="infer" ) tm.assert_frame_equal(result, data)